From 4cdeaeca5fb3fed0e7f061eb35bb5ee865801cdd Mon Sep 17 00:00:00 2001 From: Yile Ning Date: Fri, 20 Jan 2023 23:36:27 +0800 Subject: [PATCH 01/12] create basic tables --- .../code/buildmimic/01_create_tables.sql | 522 ++++++++++++++++++ 1 file changed, 522 insertions(+) create mode 100644 mimic-iii-carevue/code/buildmimic/01_create_tables.sql diff --git a/mimic-iii-carevue/code/buildmimic/01_create_tables.sql b/mimic-iii-carevue/code/buildmimic/01_create_tables.sql new file mode 100644 index 000000000..c11e6e0cb --- /dev/null +++ b/mimic-iii-carevue/code/buildmimic/01_create_tables.sql @@ -0,0 +1,522 @@ +-- ------------------------------------------------------------------------------- +-- +-- Create basic tables of MIMIC-III CareVue Subset Database +-- +-- ------------------------------------------------------------------------------- + +-------------------------------------------------------- +-- DDL for Table ADMISSIONS +-------------------------------------------------------- + +DROP TABLE IF EXISTS ADMISSIONS CASCADE; +CREATE TABLE ADMISSIONS +( + ROW_ID INT NOT NULL, + SUBJECT_ID INT NOT NULL, + HADM_ID INT NOT NULL, + ADMITTIME TIMESTAMP(0) NOT NULL, + DISCHTIME TIMESTAMP(0) NOT NULL, + DEATHTIME TIMESTAMP(0), + ADMISSION_TYPE VARCHAR(50) NOT NULL, + ADMISSION_LOCATION VARCHAR(50) NOT NULL, + DISCHARGE_LOCATION VARCHAR(50) NOT NULL, + INSURANCE VARCHAR(255) NOT NULL, + LANGUAGE VARCHAR(10), + RELIGION VARCHAR(50), + MARITAL_STATUS VARCHAR(50), + ETHNICITY VARCHAR(200) NOT NULL, + EDREGTIME TIMESTAMP(0), + EDOUTTIME TIMESTAMP(0), + DIAGNOSIS VARCHAR(255), + HOSPITAL_EXPIRE_FLAG SMALLINT, + HAS_CHARTEVENTS_DATA SMALLINT NOT NULL, + CONSTRAINT adm_rowid_pk PRIMARY KEY (ROW_ID), + CONSTRAINT adm_hadm_unique UNIQUE (HADM_ID) +) ; + +-------------------------------------------------------- +-- DDL for Table CALLOUT +-------------------------------------------------------- + +DROP TABLE IF EXISTS CALLOUT CASCADE; +CREATE TABLE CALLOUT +( + ROW_ID INT NOT NULL, + SUBJECT_ID INT NOT NULL, + HADM_ID INT NOT NULL, + SUBMIT_WARDID INT, + SUBMIT_CAREUNIT VARCHAR(15), + CURR_WARDID INT, + CURR_CAREUNIT VARCHAR(15), + CALLOUT_WARDID INT, + CALLOUT_SERVICE VARCHAR(10) NOT NULL, + REQUEST_TELE SMALLINT NOT NULL, + REQUEST_RESP SMALLINT NOT NULL, + REQUEST_CDIFF SMALLINT NOT NULL, + REQUEST_MRSA SMALLINT NOT NULL, + REQUEST_VRE SMALLINT NOT NULL, + CALLOUT_STATUS VARCHAR(20) NOT NULL, + CALLOUT_OUTCOME VARCHAR(20) NOT NULL, + DISCHARGE_WARDID INT, + ACKNOWLEDGE_STATUS VARCHAR(20) NOT NULL, + CREATETIME TIMESTAMP(0) NOT NULL, + UPDATETIME TIMESTAMP(0) NOT NULL, + ACKNOWLEDGETIME TIMESTAMP(0), + OUTCOMETIME TIMESTAMP(0) NOT NULL, + FIRSTRESERVATIONTIME TIMESTAMP(0), + CURRENTRESERVATIONTIME TIMESTAMP(0), + CONSTRAINT callout_rowid_pk PRIMARY KEY (ROW_ID) +) ; + +-------------------------------------------------------- +-- DDL for Table CAREGIVERS +-------------------------------------------------------- + +DROP TABLE IF EXISTS CAREGIVERS CASCADE; +CREATE TABLE CAREGIVERS +( + ROW_ID INT NOT NULL, + CGID INT NOT NULL, + LABEL VARCHAR(15), + DESCRIPTION VARCHAR(30), + CONSTRAINT cg_rowid_pk PRIMARY KEY (ROW_ID), + CONSTRAINT cg_cgid_unique UNIQUE (CGID) +) ; + +-------------------------------------------------------- +-- DDL for Table CHARTEVENTS +-------------------------------------------------------- + +DROP TABLE IF EXISTS CHARTEVENTS CASCADE; +CREATE TABLE CHARTEVENTS +( + ROW_ID INT NOT NULL, + SUBJECT_ID INT NOT NULL, + HADM_ID INT, + ICUSTAY_ID INT, + ITEMID INT, + CHARTTIME TIMESTAMP(0), + STORETIME TIMESTAMP(0), + CGID INT, + VALUE VARCHAR(255), + VALUENUM DOUBLE PRECISION, + VALUEUOM VARCHAR(50), + WARNING INT, + ERROR INT, + RESULTSTATUS VARCHAR(50), + STOPPED VARCHAR(50), + CONSTRAINT chartevents_rowid_pk PRIMARY KEY (ROW_ID) +) ; + +-------------------------------------------------------- +-- DDL for Table CPTEVENTS +-------------------------------------------------------- + +DROP TABLE IF EXISTS CPTEVENTS CASCADE; +CREATE TABLE CPTEVENTS +( + ROW_ID INT NOT NULL, + SUBJECT_ID INT NOT NULL, + HADM_ID INT NOT NULL, + COSTCENTER VARCHAR(10) NOT NULL, + CHARTDATE TIMESTAMP(0), + CPT_CD VARCHAR(10) NOT NULL, + CPT_NUMBER INT, + CPT_SUFFIX VARCHAR(5), + TICKET_ID_SEQ INT, + SECTIONHEADER VARCHAR(50), + SUBSECTIONHEADER VARCHAR(255), + DESCRIPTION VARCHAR(200), + CONSTRAINT cpt_rowid_pk PRIMARY KEY (ROW_ID) +) ; + +-------------------------------------------------------- +-- DDL for Table DATETIMEEVENTS +-------------------------------------------------------- + +DROP TABLE IF EXISTS DATETIMEEVENTS CASCADE; +CREATE TABLE DATETIMEEVENTS +( + ROW_ID INT NOT NULL, + SUBJECT_ID INT NOT NULL, + HADM_ID INT, + ICUSTAY_ID INT, + ITEMID INT NOT NULL, + CHARTTIME TIMESTAMP(0) NOT NULL, + STORETIME TIMESTAMP(0) NOT NULL, + CGID INT NOT NULL, + VALUE TIMESTAMP(0), + VALUEUOM VARCHAR(50) NOT NULL, + WARNING SMALLINT, + ERROR SMALLINT, + RESULTSTATUS VARCHAR(50), + STOPPED VARCHAR(50), + CONSTRAINT datetime_rowid_pk PRIMARY KEY (ROW_ID) +) ; + +-------------------------------------------------------- +-- DDL for Table DIAGNOSES_ICD +-------------------------------------------------------- + +DROP TABLE IF EXISTS DIAGNOSES_ICD CASCADE; +CREATE TABLE DIAGNOSES_ICD +( + ROW_ID INT NOT NULL, + SUBJECT_ID INT NOT NULL, + HADM_ID INT NOT NULL, + SEQ_NUM INT, + ICD9_CODE VARCHAR(10), + CONSTRAINT diagnosesicd_rowid_pk PRIMARY KEY (ROW_ID) +) ; + +-------------------------------------------------------- +-- DDL for Table DRGCODES +-------------------------------------------------------- + +DROP TABLE IF EXISTS DRGCODES CASCADE; +CREATE TABLE DRGCODES +( + ROW_ID INT NOT NULL, + SUBJECT_ID INT NOT NULL, + HADM_ID INT NOT NULL, + DRG_TYPE VARCHAR(20) NOT NULL, + DRG_CODE VARCHAR(20) NOT NULL, + DESCRIPTION VARCHAR(255), + DRG_SEVERITY SMALLINT, + DRG_MORTALITY SMALLINT, + CONSTRAINT drg_rowid_pk PRIMARY KEY (ROW_ID) +) ; + +-------------------------------------------------------- +-- DDL for Table D_CPT +-------------------------------------------------------- + +DROP TABLE IF EXISTS D_CPT CASCADE; +CREATE TABLE D_CPT +( + ROW_ID INT NOT NULL, + CATEGORY SMALLINT NOT NULL, + SECTIONRANGE VARCHAR(100) NOT NULL, + SECTIONHEADER VARCHAR(50) NOT NULL, + SUBSECTIONRANGE VARCHAR(100) NOT NULL, + SUBSECTIONHEADER VARCHAR(255) NOT NULL, + CODESUFFIX VARCHAR(5), + MINCODEINSUBSECTION INT NOT NULL, + MAXCODEINSUBSECTION INT NOT NULL, + CONSTRAINT dcpt_ssrange_unique UNIQUE (SUBSECTIONRANGE), + CONSTRAINT dcpt_rowid_pk PRIMARY KEY (ROW_ID) +) ; + +-------------------------------------------------------- +-- DDL for Table D_ICD_DIAGNOSES +-------------------------------------------------------- + +DROP TABLE IF EXISTS D_ICD_DIAGNOSES CASCADE; +CREATE TABLE D_ICD_DIAGNOSES +( + ROW_ID INT NOT NULL, + ICD9_CODE VARCHAR(10) NOT NULL, + SHORT_TITLE VARCHAR(50) NOT NULL, + LONG_TITLE VARCHAR(255) NOT NULL, + CONSTRAINT d_icd_diag_code_unique UNIQUE (ICD9_CODE), + CONSTRAINT d_icd_diag_rowid_pk PRIMARY KEY (ROW_ID) +) ; + +-------------------------------------------------------- +-- DDL for Table D_ICD_PROCEDURES +-------------------------------------------------------- + +DROP TABLE IF EXISTS D_ICD_PROCEDURES CASCADE; +CREATE TABLE D_ICD_PROCEDURES +( + ROW_ID INT NOT NULL, + ICD9_CODE VARCHAR(10) NOT NULL, + SHORT_TITLE VARCHAR(50) NOT NULL, + LONG_TITLE VARCHAR(255) NOT NULL, + CONSTRAINT d_icd_proc_code_unique UNIQUE (ICD9_CODE), + CONSTRAINT d_icd_proc_rowid_pk PRIMARY KEY (ROW_ID) +) ; + +-------------------------------------------------------- +-- DDL for Table D_ITEMS +-------------------------------------------------------- + +DROP TABLE IF EXISTS D_ITEMS CASCADE; +CREATE TABLE D_ITEMS +( + ROW_ID INT NOT NULL, + ITEMID INT NOT NULL, + LABEL VARCHAR(200), + ABBREVIATION VARCHAR(100), + DBSOURCE VARCHAR(20), + LINKSTO VARCHAR(50), + CATEGORY VARCHAR(100), + UNITNAME VARCHAR(100), + PARAM_TYPE VARCHAR(30), + CONCEPTID INT, + CONSTRAINT ditems_itemid_unique UNIQUE (ITEMID), + CONSTRAINT ditems_rowid_pk PRIMARY KEY (ROW_ID) +) ; + +-------------------------------------------------------- +-- DDL for Table D_LABITEMS +-------------------------------------------------------- + +DROP TABLE IF EXISTS D_LABITEMS CASCADE; +CREATE TABLE D_LABITEMS +( + ROW_ID INT NOT NULL, + ITEMID INT NOT NULL, + LABEL VARCHAR(100) NOT NULL, + FLUID VARCHAR(100) NOT NULL, + CATEGORY VARCHAR(100) NOT NULL, + LOINC_CODE VARCHAR(100), + CONSTRAINT dlabitems_itemid_unique UNIQUE (ITEMID), + CONSTRAINT dlabitems_rowid_pk PRIMARY KEY (ROW_ID) +) ; + +-------------------------------------------------------- +-- DDL for Table ICUSTAYS +-------------------------------------------------------- + +DROP TABLE IF EXISTS ICUSTAYS CASCADE; +CREATE TABLE ICUSTAYS +( + ROW_ID INT NOT NULL, + SUBJECT_ID INT NOT NULL, + HADM_ID INT NOT NULL, + ICUSTAY_ID INT NOT NULL, + DBSOURCE VARCHAR(20) NOT NULL, + FIRST_CAREUNIT VARCHAR(20) NOT NULL, + LAST_CAREUNIT VARCHAR(20) NOT NULL, + FIRST_WARDID SMALLINT NOT NULL, + LAST_WARDID SMALLINT NOT NULL, + INTIME TIMESTAMP(0) NOT NULL, + OUTTIME TIMESTAMP(0), + LOS DOUBLE PRECISION, + CONSTRAINT icustay_icustayid_unique UNIQUE (ICUSTAY_ID), + CONSTRAINT icustay_rowid_pk PRIMARY KEY (ROW_ID) +) ; + +-------------------------------------------------------- +-- DDL for Table INPUTEVENTS_CV +-------------------------------------------------------- + +DROP TABLE IF EXISTS INPUTEVENTS_CV CASCADE; +CREATE TABLE INPUTEVENTS_CV +( + ROW_ID INT NOT NULL, + SUBJECT_ID INT NOT NULL, + HADM_ID INT, + ICUSTAY_ID INT, + CHARTTIME TIMESTAMP(0), + ITEMID INT, + AMOUNT DOUBLE PRECISION, + AMOUNTUOM VARCHAR(30), + RATE DOUBLE PRECISION, + RATEUOM VARCHAR(30), + STORETIME TIMESTAMP(0), + CGID INT, + ORDERID INT, + LINKORDERID INT, + STOPPED VARCHAR(30), + NEWBOTTLE INT, + ORIGINALAMOUNT DOUBLE PRECISION, + ORIGINALAMOUNTUOM VARCHAR(30), + ORIGINALROUTE VARCHAR(30), + ORIGINALRATE DOUBLE PRECISION, + ORIGINALRATEUOM VARCHAR(30), + ORIGINALSITE VARCHAR(30), + CONSTRAINT inputevents_cv_rowid_pk PRIMARY KEY (ROW_ID) +) ; + +-------------------------------------------------------- +-- DDL for Table LABEVENTS +-------------------------------------------------------- + +DROP TABLE IF EXISTS LABEVENTS CASCADE; +CREATE TABLE LABEVENTS +( + ROW_ID INT NOT NULL, + SUBJECT_ID INT NOT NULL, + HADM_ID INT, + ITEMID INT NOT NULL, + CHARTTIME TIMESTAMP(0), + VALUE VARCHAR(200), + VALUENUM DOUBLE PRECISION, + VALUEUOM VARCHAR(20), + FLAG VARCHAR(20), + CONSTRAINT labevents_rowid_pk PRIMARY KEY (ROW_ID) +) ; + +-------------------------------------------------------- +-- DDL for Table MICROBIOLOGYEVENTS +-------------------------------------------------------- + +DROP TABLE IF EXISTS MICROBIOLOGYEVENTS CASCADE; +CREATE TABLE MICROBIOLOGYEVENTS +( + ROW_ID INT NOT NULL, + SUBJECT_ID INT NOT NULL, + HADM_ID INT, + CHARTDATE TIMESTAMP(0), + CHARTTIME TIMESTAMP(0), + SPEC_ITEMID INT, + SPEC_TYPE_DESC VARCHAR(100), + ORG_ITEMID INT, + ORG_NAME VARCHAR(100), + ISOLATE_NUM SMALLINT, + AB_ITEMID INT, + AB_NAME VARCHAR(30), + DILUTION_TEXT VARCHAR(10), + DILUTION_COMPARISON VARCHAR(20), + DILUTION_VALUE DOUBLE PRECISION, + INTERPRETATION VARCHAR(5), + CONSTRAINT micro_rowid_pk PRIMARY KEY (ROW_ID) +) ; + +-------------------------------------------------------- +-- DDL for Table NOTEEVENTS +-------------------------------------------------------- + +DROP TABLE IF EXISTS NOTEEVENTS CASCADE; +CREATE TABLE NOTEEVENTS +( + ROW_ID INT NOT NULL, + SUBJECT_ID INT NOT NULL, + HADM_ID INT, + CHARTDATE TIMESTAMP(0), + CHARTTIME TIMESTAMP(0), + STORETIME TIMESTAMP(0), + CATEGORY VARCHAR(50), + DESCRIPTION VARCHAR(255), + CGID INT, + ISERROR CHAR(1), + TEXT TEXT, + CONSTRAINT noteevents_rowid_pk PRIMARY KEY (ROW_ID) +) ; + +-------------------------------------------------------- +-- DDL for Table OUTPUTEVENTS +-------------------------------------------------------- + +DROP TABLE IF EXISTS OUTPUTEVENTS CASCADE; +CREATE TABLE OUTPUTEVENTS +( + ROW_ID INT NOT NULL, + SUBJECT_ID INT NOT NULL, + HADM_ID INT, + ICUSTAY_ID INT, + CHARTTIME TIMESTAMP(0), + ITEMID INT, + VALUE DOUBLE PRECISION, + VALUEUOM VARCHAR(30), + STORETIME TIMESTAMP(0), + CGID INT, + STOPPED VARCHAR(30), + NEWBOTTLE CHAR(1), + ISERROR INT, + CONSTRAINT outputevents_cv_rowid_pk PRIMARY KEY (ROW_ID) +) ; + +-------------------------------------------------------- +-- DDL for Table PATIENTS +-------------------------------------------------------- + +DROP TABLE IF EXISTS PATIENTS CASCADE; +CREATE TABLE PATIENTS +( + ROW_ID INT NOT NULL, + SUBJECT_ID INT NOT NULL, + GENDER VARCHAR(5) NOT NULL, + DOB TIMESTAMP(0) NOT NULL, + DOD TIMESTAMP(0), + DOD_HOSP TIMESTAMP(0), + DOD_SSN TIMESTAMP(0), + EXPIRE_FLAG INT NOT NULL, + CONSTRAINT pat_subid_unique UNIQUE (SUBJECT_ID), + CONSTRAINT pat_rowid_pk PRIMARY KEY (ROW_ID) +) ; + +-------------------------------------------------------- +-- DDL for Table PRESCRIPTIONS +-------------------------------------------------------- + +DROP TABLE IF EXISTS PRESCRIPTIONS CASCADE; +CREATE TABLE PRESCRIPTIONS +( + ROW_ID INT NOT NULL, + SUBJECT_ID INT NOT NULL, + HADM_ID INT NOT NULL, + ICUSTAY_ID INT, + STARTDATE TIMESTAMP(0), + ENDDATE TIMESTAMP(0), + DRUG_TYPE VARCHAR(100) NOT NULL, + DRUG VARCHAR(100) NOT NULL, + DRUG_NAME_POE VARCHAR(100), + DRUG_NAME_GENERIC VARCHAR(100), + FORMULARY_DRUG_CD VARCHAR(120), + GSN VARCHAR(200), + NDC VARCHAR(120), + PROD_STRENGTH VARCHAR(120), + DOSE_VAL_RX VARCHAR(120), + DOSE_UNIT_RX VARCHAR(120), + FORM_VAL_DISP VARCHAR(120), + FORM_UNIT_DISP VARCHAR(120), + ROUTE VARCHAR(120), + CONSTRAINT prescription_rowid_pk PRIMARY KEY (ROW_ID) +) ; + +-------------------------------------------------------- +-- DDL for Table PROCEDURES_ICD +-------------------------------------------------------- + +DROP TABLE IF EXISTS PROCEDURES_ICD CASCADE; +CREATE TABLE PROCEDURES_ICD +( + ROW_ID INT NOT NULL, + SUBJECT_ID INT NOT NULL, + HADM_ID INT NOT NULL, + SEQ_NUM INT NOT NULL, + ICD9_CODE VARCHAR(10) NOT NULL, + CONSTRAINT proceduresicd_rowid_pk PRIMARY KEY (ROW_ID) +) ; + +-------------------------------------------------------- +-- DDL for Table SERVICES +-------------------------------------------------------- + +DROP TABLE IF EXISTS SERVICES CASCADE; +CREATE TABLE SERVICES +( + ROW_ID INT NOT NULL, + SUBJECT_ID INT NOT NULL, + HADM_ID INT NOT NULL, + TRANSFERTIME TIMESTAMP(0) NOT NULL, + PREV_SERVICE VARCHAR(20), + CURR_SERVICE VARCHAR(20), + CONSTRAINT services_rowid_pk PRIMARY KEY (ROW_ID) +) ; + +-------------------------------------------------------- +-- DDL for Table TRANSFERS +-------------------------------------------------------- + +DROP TABLE IF EXISTS TRANSFERS CASCADE; +CREATE TABLE TRANSFERS +( + ROW_ID INT NOT NULL, + SUBJECT_ID INT NOT NULL, + HADM_ID INT NOT NULL, + ICUSTAY_ID INT, + DBSOURCE VARCHAR(20), + EVENTTYPE VARCHAR(20), + PREV_CAREUNIT VARCHAR(20), + CURR_CAREUNIT VARCHAR(20), + PREV_WARDID SMALLINT, + CURR_WARDID SMALLINT, + INTIME TIMESTAMP(0), + OUTTIME TIMESTAMP(0), + LOS DOUBLE PRECISION, + CONSTRAINT transfers_rowid_pk PRIMARY KEY (ROW_ID) +) ; From 80605ca74295a04317962ec087a99694e4bf5b4a Mon Sep 17 00:00:00 2001 From: Yile Ning Date: Fri, 20 Jan 2023 23:36:40 +0800 Subject: [PATCH 02/12] load data --- .../code/buildmimic/02_load_data_gz.sql | 153 ++++++++++++++++++ 1 file changed, 153 insertions(+) create mode 100644 mimic-iii-carevue/code/buildmimic/02_load_data_gz.sql diff --git a/mimic-iii-carevue/code/buildmimic/02_load_data_gz.sql b/mimic-iii-carevue/code/buildmimic/02_load_data_gz.sql new file mode 100644 index 000000000..3caafe617 --- /dev/null +++ b/mimic-iii-carevue/code/buildmimic/02_load_data_gz.sql @@ -0,0 +1,153 @@ +-- ------------------------------------------------------------------------------- +-- +-- Load data into the MIMIC-III CareVue +-- +-- ------------------------------------------------------------------------------- + +-- Change to the directory containing the data files +\cd :mimic_data_dir +\cd ./mimic-iii-clinical-database-carevue-subset-1.4 + +-------------------------------------------------------- +-- Load Data for Table ADMISSIONS +-------------------------------------------------------- + +\copy ADMISSIONS FROM PROGRAM 'gzip -dc ADMISSIONS.csv.gz' DELIMITER ',' CSV HEADER NULL '' + +-------------------------------------------------------- +-- Load Data for Table CALLOUT +-------------------------------------------------------- + +\copy CALLOUT from PROGRAM 'gzip -dc CALLOUT.csv.gz' delimiter ',' csv header NULL '' + +-------------------------------------------------------- +-- Load Data for Table CAREGIVERS +-------------------------------------------------------- + +\copy CAREGIVERS from PROGRAM 'gzip -dc CAREGIVERS.csv.gz' delimiter ',' csv header NULL '' + +-------------------------------------------------------- +-- Load Data for Table CHARTEVENTS +-------------------------------------------------------- + +\copy CHARTEVENTS from PROGRAM 'gzip -dc CHARTEVENTS.csv.gz' delimiter ',' csv header NULL '' + +-------------------------------------------------------- +-- Load Data for Table CPTEVENTS +-------------------------------------------------------- + +\copy CPTEVENTS from PROGRAM 'gzip -dc CPTEVENTS.csv.gz' delimiter ',' csv header NULL '' + +-------------------------------------------------------- +-- Load Data for Table DATETIMEEVENTS +-------------------------------------------------------- + +\copy DATETIMEEVENTS from PROGRAM 'gzip -dc DATETIMEEVENTS.csv.gz' delimiter ',' csv header NULL '' + +-------------------------------------------------------- +-- Load Data for Table DIAGNOSES_ICD +-------------------------------------------------------- + +\copy DIAGNOSES_ICD from PROGRAM 'gzip -dc DIAGNOSES_ICD.csv.gz' delimiter ',' csv header NULL '' + +-------------------------------------------------------- +-- Load Data for Table DRGCODES +-------------------------------------------------------- + +\copy DRGCODES from PROGRAM 'gzip -dc DRGCODES.csv.gz' delimiter ',' csv header NULL '' + +-------------------------------------------------------- +-- Load Data for Table D_CPT +-------------------------------------------------------- + +\copy D_CPT from PROGRAM 'gzip -dc D_CPT.csv.gz' delimiter ',' csv header NULL '' + +-------------------------------------------------------- +-- Load Data for Table D_ICD_DIAGNOSES +-------------------------------------------------------- + +\copy D_ICD_DIAGNOSES from PROGRAM 'gzip -dc D_ICD_DIAGNOSES.csv.gz' delimiter ',' csv header NULL '' + +-------------------------------------------------------- +-- Load Data for Table D_ICD_PROCEDURES +-------------------------------------------------------- + +\copy D_ICD_PROCEDURES from PROGRAM 'gzip -dc D_ICD_PROCEDURES.csv.gz' delimiter ',' csv header NULL '' + +-------------------------------------------------------- +-- Load Data for Table D_ITEMS +-------------------------------------------------------- + +\copy D_ITEMS from PROGRAM 'gzip -dc D_ITEMS.csv.gz' delimiter ',' csv header NULL '' + +-------------------------------------------------------- +-- Load Data for Table D_LABITEMS +-------------------------------------------------------- + +\copy D_LABITEMS from PROGRAM 'gzip -dc D_LABITEMS.csv.gz' delimiter ',' csv header NULL '' + +-------------------------------------------------------- +-- Load Data for Table ICUSTAYS +-------------------------------------------------------- + +\copy ICUSTAYS from PROGRAM 'gzip -dc ICUSTAYS.csv.gz' delimiter ',' csv header NULL '' + +-------------------------------------------------------- +-- Load Data for Table INPUTEVENTS_CV +-------------------------------------------------------- + +\copy INPUTEVENTS_CV from PROGRAM 'gzip -dc INPUTEVENTS_CV.csv.gz' delimiter ',' csv header NULL '' + +-------------------------------------------------------- +-- Load Data for Table LABEVENTS +-------------------------------------------------------- + +\copy LABEVENTS from PROGRAM 'gzip -dc LABEVENTS.csv.gz' delimiter ',' csv header NULL '' + +-------------------------------------------------------- +-- Load Data for Table MICROBIOLOGYEVENTS +-------------------------------------------------------- + +\copy MICROBIOLOGYEVENTS from PROGRAM 'gzip -dc MICROBIOLOGYEVENTS.csv.gz' delimiter ',' csv header NULL '' + +-------------------------------------------------------- +-- Load Data for Table NOTEEVENTS +-------------------------------------------------------- + +\copy NOTEEVENTS from PROGRAM 'gzip -dc NOTEEVENTS.csv.gz' delimiter ',' csv header NULL '' + +-------------------------------------------------------- +-- Load Data for Table OUTPUTEVENTS +-------------------------------------------------------- + +\copy OUTPUTEVENTS from PROGRAM 'gzip -dc OUTPUTEVENTS.csv.gz' delimiter ',' csv header NULL '' + +-------------------------------------------------------- +-- Load Data for Table PATIENTS +-------------------------------------------------------- + +\copy PATIENTS from PROGRAM 'gzip -dc PATIENTS.csv.gz' delimiter ',' csv header NULL '' + +-------------------------------------------------------- +-- Load Data for Table PRESCRIPTIONS +-------------------------------------------------------- + +\copy PRESCRIPTIONS from PROGRAM 'gzip -dc PRESCRIPTIONS.csv.gz' delimiter ',' csv header NULL '' + +-------------------------------------------------------- +-- Load Data for Table PROCEDURES_ICD +-------------------------------------------------------- + +\copy PROCEDURES_ICD from PROGRAM 'gzip -dc PROCEDURES_ICD.csv.gz' delimiter ',' csv header NULL '' + +-------------------------------------------------------- +-- Load Data for Table SERVICES +-------------------------------------------------------- + +\copy SERVICES from PROGRAM 'gzip -dc SERVICES.csv.gz' delimiter ',' csv header NULL '' + +-------------------------------------------------------- +-- Load Data for Table TRANSFERS +-------------------------------------------------------- + +\copy TRANSFERS from PROGRAM 'gzip -dc TRANSFERS.csv.gz' delimiter ',' csv header NULL '' From 536782f253f7bcb3bc40bddfd5ba3598cbe6dac4 Mon Sep 17 00:00:00 2001 From: Yile Ning Date: Fri, 20 Jan 2023 23:36:54 +0800 Subject: [PATCH 03/12] add index --- .../code/buildmimic/03_add_indexes.sql | 469 ++++++++++++++++++ 1 file changed, 469 insertions(+) create mode 100644 mimic-iii-carevue/code/buildmimic/03_add_indexes.sql diff --git a/mimic-iii-carevue/code/buildmimic/03_add_indexes.sql b/mimic-iii-carevue/code/buildmimic/03_add_indexes.sql new file mode 100644 index 000000000..affa0cae2 --- /dev/null +++ b/mimic-iii-carevue/code/buildmimic/03_add_indexes.sql @@ -0,0 +1,469 @@ +-- ---------------------------------------------------------------- +-- +-- This is a script to add the MIMIC-III indexes for Postgres. +-- +-- ---------------------------------------------------------------- + +-- If running scripts individually, you can set the schema where all tables are created as follows: +-- SET search_path TO mimiciii; + +-- Restoring the search path to its default value can be accomplished as follows: +-- SET search_path TO "$user",public; + +------------- +-- ADMISSIONS +------------- + +DROP INDEX IF EXISTS ADMISSIONS_idx01; +CREATE INDEX ADMISSIONS_idx01 + ON ADMISSIONS (SUBJECT_ID); + +DROP INDEX IF EXISTS ADMISSIONS_idx02; +CREATE INDEX ADMISSIONS_idx02 + ON ADMISSIONS (HADM_ID); + +-- DROP INDEX IF EXISTS ADMISSIONS_idx03; +-- CREATE INDEX ADMISSIONS_idx03 +-- ON ADMISSIONS (ADMISSION_TYPE); + + +----------- +--CALLOUT-- +----------- + +DROP INDEX IF EXISTS CALLOUT_idx01; +CREATE INDEX CALLOUT_idx01 + ON CALLOUT (SUBJECT_ID); + +DROP INDEX IF EXISTS CALLOUT_idx02; +CREATE INDEX CALLOUT_idx02 + ON CALLOUT (HADM_ID); + +-- DROP INDEX IF EXISTS CALLOUT_idx03; +-- CREATE INDEX CALLOUT_idx03 +-- ON CALLOUT (CALLOUT_SERVICE); + +-- DROP INDEX IF EXISTS CALLOUT_idx04; +-- CREATE INDEX CALLOUT_idx04 +-- ON CALLOUT (CURR_WARDID, CALLOUT_WARDID, +-- DISCHARGE_WARDID); + +-- DROP INDEX IF EXISTS CALLOUT_idx05; +-- CREATE INDEX CALLOUT_idx05 +-- ON CALLOUT (CALLOUT_STATUS, +-- CALLOUT_OUTCOME); + +-- DROP INDEX IF EXISTS CALLOUT_idx06; +-- CREATE INDEX CALLOUT_idx06 +-- ON CALLOUT (CREATETIME, UPDATETIME, +-- ACKNOWLEDGETIME, OUTCOMETIME); + +--------------- +-- CAREGIVERS +--------------- + +-- DROP INDEX IF EXISTS CAREGIVERS_idx01; +-- CREATE INDEX CAREGIVERS_idx01 +-- ON CAREGIVERS (CGID, LABEL); + +--------------- +-- CHARTEVENTS +--------------- + +DROP INDEX IF EXISTS CHARTEVENTS_idx01; +CREATE INDEX CHARTEVENTS_idx01 + ON CHARTEVENTS (CHARTTIME, STORETIME); + +DROP INDEX IF EXISTS CHARTEVENTS_idx02; +CREATE INDEX CHARTEVENTS_idx02 + ON CHARTEVENTS (SUBJECT_ID); + +DROP INDEX IF EXISTS CHARTEVENTS_idx03; +CREATE INDEX CHARTEVENTS_idx03 + ON CHARTEVENTS (HADM_ID); + +DROP INDEX IF EXISTS CHARTEVENTS_idx04; +CREATE INDEX ICHARTEVENTS_idx04 + ON CHARTEVENTS (ICUSTAY_ID); + +DROP INDEX IF EXISTS CHARTEVENTS_idx05; +CREATE INDEX CHARTEVENTS_idx05 + ON CHARTEVENTS (ITEMID); + +--------------- +-- CPTEVENTS +--------------- + +DROP INDEX IF EXISTS CPTEVENTS_idx01; +CREATE INDEX CPTEVENTS_idx01 + ON CPTEVENTS (SUBJECT_ID); + +DROP INDEX IF EXISTS CPTEVENTS_idx02; +CREATE INDEX CPTEVENTS_idx02 + ON CPTEVENTS (CPT_CD); + +----------- +-- D_CPT +----------- + +-- Table is 134 rows - doesn't need an index. + +-------------------- +-- D_ICD_DIAGNOSES +-------------------- + +DROP INDEX IF EXISTS D_ICD_DIAG_idx01; +CREATE INDEX D_ICD_DIAG_idx01 + ON D_ICD_DIAGNOSES (ICD9_CODE); + +DROP INDEX IF EXISTS D_ICD_DIAG_idx02; +CREATE INDEX D_ICD_DIAG_idx02 + ON D_ICD_DIAGNOSES (LONG_TITLE); + +-------------------- +-- D_ICD_PROCEDURES +-------------------- + +DROP INDEX IF EXISTS D_ICD_PROC_idx01; +CREATE INDEX D_ICD_PROC_idx01 + ON D_ICD_PROCEDURES (ICD9_CODE); + +DROP INDEX IF EXISTS D_ICD_PROC_idx02; +CREATE INDEX D_ICD_PROC_idx02 + ON D_ICD_PROCEDURES (LONG_TITLE); + +----------- +-- D_ITEMS +----------- + +DROP INDEX IF EXISTS D_ITEMS_idx01; +CREATE INDEX D_ITEMS_idx01 + ON D_ITEMS (ITEMID); + +DROP INDEX IF EXISTS D_ITEMS_idx02; +CREATE INDEX D_ITEMS_idx02 + ON D_ITEMS (LABEL); + +-- DROP INDEX IF EXISTS D_ITEMS_idx03; +-- CREATE INDEX D_ITEMS_idx03 +-- ON D_ITEMS (CATEGORY); + +--------------- +-- D_LABITEMS +--------------- + +DROP INDEX IF EXISTS D_LABITEMS_idx01; +CREATE INDEX D_LABITEMS_idx01 + ON D_LABITEMS (ITEMID); + +DROP INDEX IF EXISTS D_LABITEMS_idx02; +CREATE INDEX D_LABITEMS_idx02 + ON D_LABITEMS (LABEL); + +DROP INDEX IF EXISTS D_LABITEMS_idx03; +CREATE INDEX D_LABITEMS_idx03 + ON D_LABITEMS (LOINC_CODE); + +------------------- +-- DATETIMEEVENTS +------------------- + +DROP INDEX IF EXISTS DATETIMEEVENTS_idx01; +CREATE INDEX DATETIMEEVENTS_idx01 + ON DATETIMEEVENTS (SUBJECT_ID); + +DROP INDEX IF EXISTS DATETIMEEVENTS_idx02; +CREATE INDEX DATETIMEEVENTS_idx02 + ON DATETIMEEVENTS (ITEMID); + +DROP INDEX IF EXISTS DATETIMEEVENTS_idx03; +CREATE INDEX DATETIMEEVENTS_idx03 + ON DATETIMEEVENTS (ICUSTAY_ID); + +DROP INDEX IF EXISTS DATETIMEEVENTS_idx04; +CREATE INDEX DATETIMEEVENTS_idx04 + ON DATETIMEEVENTS (HADM_ID); + +-- DROP INDEX IF EXISTS DATETIMEEVENTS_idx05; +-- CREATE INDEX DATETIMEEVENTS_idx05 +-- ON DATETIMEEVENTS (VALUE); + +------------------ +-- DIAGNOSES_ICD +------------------ + +DROP INDEX IF EXISTS DIAGNOSES_ICD_idx01; +CREATE INDEX DIAGNOSES_ICD_idx01 + ON DIAGNOSES_ICD (SUBJECT_ID); + +DROP INDEX IF EXISTS DIAGNOSES_ICD_idx02; +CREATE INDEX DIAGNOSES_ICD_idx02 + ON DIAGNOSES_ICD (ICD9_CODE); + +DROP INDEX IF EXISTS DIAGNOSES_ICD_idx03; +CREATE INDEX DIAGNOSES_ICD_idx03 + ON DIAGNOSES_ICD (HADM_ID); + +-------------- +-- DRGCODES +-------------- + +DROP INDEX IF EXISTS DRGCODES_idx01; +CREATE INDEX DRGCODES_idx01 + ON DRGCODES (SUBJECT_ID); + +DROP INDEX IF EXISTS DRGCODES_idx02; +CREATE INDEX DRGCODES_idx02 + ON DRGCODES (DRG_CODE); + +DROP INDEX IF EXISTS DRGCODES_idx03; +CREATE INDEX DRGCODES_idx03 + ON DRGCODES (DESCRIPTION); + +-- HADM_ID + +------------------ +-- ICUSTAYS +------------------ + +DROP INDEX IF EXISTS ICUSTAYS_idx01; +CREATE INDEX ICUSTAYS_idx01 + ON ICUSTAYS (SUBJECT_ID); + +DROP INDEX IF EXISTS ICUSTAYS_idx02; +CREATE INDEX ICUSTAYS_idx02 + ON ICUSTAYS (ICUSTAY_ID); + +-- DROP INDEX IF EXISTS ICUSTAYS_idx03; +-- CREATE INDEX ICUSTAYS_idx03 +-- ON ICUSTAYS (LOS); + +-- DROP INDEX IF EXISTS ICUSTAYS_idx04; +-- CREATE INDEX ICUSTAYS_idx04 +-- ON ICUSTAYS (FIRST_CAREUNIT); + +-- DROP INDEX IF EXISTS ICUSTAYS_idx05; +-- CREATE INDEX ICUSTAYS_idx05 +-- ON ICUSTAYS (LAST_CAREUNIT); + +DROP INDEX IF EXISTS ICUSTAYS_idx06; +CREATE INDEX ICUSTAYS_idx06 + ON ICUSTAYS (HADM_ID); + +------------- +-- INPUTEVENTS_CV +------------- + +DROP INDEX IF EXISTS INPUTEVENTS_CV_idx01; +CREATE INDEX INPUTEVENTS_CV_idx01 + ON INPUTEVENTS_CV (SUBJECT_ID); + + DROP INDEX IF EXISTS INPUTEVENTS_CV_idx02; + CREATE INDEX INPUTEVENTS_CV_idx02 + ON INPUTEVENTS_CV (HADM_ID); + +DROP INDEX IF EXISTS INPUTEVENTS_CV_idx03; +CREATE INDEX INPUTEVENTS_CV_idx03 + ON INPUTEVENTS_CV (ICUSTAY_ID); + +DROP INDEX IF EXISTS INPUTEVENTS_CV_idx04; +CREATE INDEX INPUTEVENTS_CV_idx04 + ON INPUTEVENTS_CV (CHARTTIME); + +DROP INDEX IF EXISTS INPUTEVENTS_CV_idx05; +CREATE INDEX INPUTEVENTS_CV_idx05 + ON INPUTEVENTS_CV (ITEMID); + +-- DROP INDEX IF EXISTS INPUTEVENTS_CV_idx06; +-- CREATE INDEX INPUTEVENTS_CV_idx06 +-- ON INPUTEVENTS_CV (RATE); + +-- DROP INDEX IF EXISTS INPUTEVENTS_CV_idx07; +-- CREATE INDEX INPUTEVENTS_CV_idx07 +-- ON INPUTEVENTS_CV (AMOUNT); + +-- DROP INDEX IF EXISTS INPUTEVENTS_CV_idx08; +-- CREATE INDEX INPUTEVENTS_CV_idx08 +-- ON INPUTEVENTS_CV (CGID); + +-- DROP INDEX IF EXISTS INPUTEVENTS_CV_idx09; +-- CREATE INDEX INPUTEVENTS_CV_idx09 +-- ON INPUTEVENTS_CV (LINKORDERID, ORDERID); + +-------------- +-- LABEVENTS +-------------- + +DROP INDEX IF EXISTS LABEVENTS_idx01; +CREATE INDEX LABEVENTS_idx01 + ON LABEVENTS (SUBJECT_ID); + +DROP INDEX IF EXISTS LABEVENTS_idx02; +CREATE INDEX LABEVENTS_idx02 + ON LABEVENTS (HADM_ID); + +DROP INDEX IF EXISTS LABEVENTS_idx03; +CREATE INDEX LABEVENTS_idx03 + ON LABEVENTS (ITEMID); + +-- DROP INDEX IF EXISTS LABEVENTS_idx04; +-- CREATE INDEX LABEVENTS_idx04 +-- ON LABEVENTS (VALUE, VALUENUM); + +---------------------- +-- MICROBIOLOGYEVENTS +---------------------- + +DROP INDEX IF EXISTS MICROBIOLOGYEVENTS_idx01; +CREATE INDEX MICROBIOLOGYEVENTS_idx01 + ON MICROBIOLOGYEVENTS (SUBJECT_ID); + +DROP INDEX IF EXISTS MICROBIOLOGYEVENTS_idx02; +CREATE INDEX MICROBIOLOGYEVENTS_idx02 + ON MICROBIOLOGYEVENTS (HADM_ID); + +-- DROP INDEX IF EXISTS MICROBIOLOGYEVENTS_idx03; +-- CREATE INDEX MICROBIOLOGYEVENTS_idx03 +-- ON MICROBIOLOGYEVENTS (SPEC_ITEMID, +-- ORG_ITEMID, AB_ITEMID); + +--------------- +-- NOTEEVENTS +--------------- + +DROP INDEX IF EXISTS NOTEEVENTS_idx01; +CREATE INDEX NOTEEVENTS_idx01 + ON NOTEEVENTS (SUBJECT_ID); + +DROP INDEX IF EXISTS NOTEEVENTS_idx02; +CREATE INDEX NOTEEVENTS_idx02 + ON NOTEEVENTS (HADM_ID); + +-- DROP INDEX IF EXISTS NOTEEVENTS_idx03; +-- CREATE INDEX NOTEEVENTS_idx03 +-- ON NOTEEVENTS (CGID); + +-- DROP INDEX IF EXISTS NOTEEVENTS_idx04; +-- CREATE INDEX NOTEEVENTS_idx04 +-- ON NOTEEVENTS (RECORD_ID); + +DROP INDEX IF EXISTS NOTEEVENTS_idx05; +CREATE INDEX NOTEEVENTS_idx05 + ON NOTEEVENTS (CATEGORY); + +--------------- +-- OUTPUTEVENTS +--------------- +DROP INDEX IF EXISTS OUTPUTEVENTS_idx01; +CREATE INDEX OUTPUTEVENTS_idx01 + ON OUTPUTEVENTS (SUBJECT_ID); + + +DROP INDEX IF EXISTS OUTPUTEVENTS_idx02; +CREATE INDEX OUTPUTEVENTS_idx02 + ON OUTPUTEVENTS (ITEMID); + + +DROP INDEX IF EXISTS OUTPUTEVENTS_idx03; +CREATE INDEX OUTPUTEVENTS_idx03 + ON OUTPUTEVENTS (ICUSTAY_ID); + + +DROP INDEX IF EXISTS OUTPUTEVENTS_idx04; +CREATE INDEX OUTPUTEVENTS_idx04 + ON OUTPUTEVENTS (HADM_ID); + +-- Perhaps not useful to index on just value? Index just for popular subset? +-- DROP INDEX IF EXISTS OUTPUTEVENTS_idx05; +-- CREATE INDEX OUTPUTEVENTS_idx05 +-- ON OUTPUTEVENTS (VALUE); + +------------- +-- PATIENTS +------------- + +-- Note that SUBJECT_ID is already indexed as it is unique + +-- DROP INDEX IF EXISTS PATIENTS_idx01; +-- CREATE INDEX PATIENTS_idx01 +-- ON PATIENTS (EXPIRE_FLAG); + +------------------ +-- PRESCRIPTIONS +------------------ + +DROP INDEX IF EXISTS PRESCRIPTIONS_idx01; +CREATE INDEX PRESCRIPTIONS_idx01 + ON PRESCRIPTIONS (SUBJECT_ID); + +DROP INDEX IF EXISTS PRESCRIPTIONS_idx02; +CREATE INDEX PRESCRIPTIONS_idx02 + ON PRESCRIPTIONS (ICUSTAY_ID); + +DROP INDEX IF EXISTS PRESCRIPTIONS_idx03; +CREATE INDEX PRESCRIPTIONS_idx03 + ON PRESCRIPTIONS (DRUG_TYPE); + +DROP INDEX IF EXISTS PRESCRIPTIONS_idx04; +CREATE INDEX PRESCRIPTIONS_idx04 + ON PRESCRIPTIONS (DRUG); + +DROP INDEX IF EXISTS PRESCRIPTIONS_idx05; +CREATE INDEX PRESCRIPTIONS_idx05 + ON PRESCRIPTIONS (HADM_ID); + +------------------- +-- PROCEDURES_ICD +------------------- + +DROP INDEX IF EXISTS PROCEDURES_ICD_idx01; +CREATE INDEX PROCEDURES_ICD_idx01 + ON PROCEDURES_ICD (SUBJECT_ID); + +DROP INDEX IF EXISTS PROCEDURES_ICD_idx02; +CREATE INDEX PROCEDURES_ICD_idx02 + ON PROCEDURES_ICD (ICD9_CODE); + +DROP INDEX IF EXISTS PROCEDURES_ICD_idx03; +CREATE INDEX PROCEDURES_ICD_idx03 + ON PROCEDURES_ICD (HADM_ID); + +------------- +-- SERVICES +------------- + +DROP INDEX IF EXISTS SERVICES_idx01; +CREATE INDEX SERVICES_idx01 + ON SERVICES (SUBJECT_ID); + +DROP INDEX IF EXISTS SERVICES_idx02; +CREATE INDEX SERVICES_idx02 + ON SERVICES (HADM_ID); + +-- DROP INDEX IF EXISTS SERVICES_idx03; +-- CREATE INDEX SERVICES_idx03 +-- ON SERVICES (CURR_SERVICE, PREV_SERVICE); + +------------- +-- TRANSFERS +------------- + +DROP INDEX IF EXISTS TRANSFERS_idx01; +CREATE INDEX TRANSFERS_idx01 + ON TRANSFERS (SUBJECT_ID); + +DROP INDEX IF EXISTS TRANSFERS_idx02; +CREATE INDEX TRANSFERS_idx02 + ON TRANSFERS (ICUSTAY_ID); + +DROP INDEX IF EXISTS TRANSFERS_idx03; +CREATE INDEX TRANSFERS_idx03 + ON TRANSFERS (HADM_ID); + +-- DROP INDEX IF EXISTS TRANSFERS_idx04; +-- CREATE INDEX TRANSFERS_idx04 +-- ON TRANSFERS (INTIME, OUTTIME); + +-- DROP INDEX IF EXISTS TRANSFERS_idx05; +-- CREATE INDEX TRANSFERS_idx05 +-- ON TRANSFERS (LOS); From 18eeb08f365e1635514129f6b4ec6a7d6564538e Mon Sep 17 00:00:00 2001 From: Yile Ning Date: Fri, 20 Jan 2023 23:37:12 +0800 Subject: [PATCH 04/12] add constraints --- .../code/buildmimic/04_add_constraints.sql | 449 ++++++++++++++++++ 1 file changed, 449 insertions(+) create mode 100644 mimic-iii-carevue/code/buildmimic/04_add_constraints.sql diff --git a/mimic-iii-carevue/code/buildmimic/04_add_constraints.sql b/mimic-iii-carevue/code/buildmimic/04_add_constraints.sql new file mode 100644 index 000000000..f7da734f8 --- /dev/null +++ b/mimic-iii-carevue/code/buildmimic/04_add_constraints.sql @@ -0,0 +1,449 @@ +-- ---------------------------------------------------------------- +-- +-- This is a script to add the MIMIC-III constraints for Postgres. +-- +-- ---------------------------------------------------------------- + +-- If running scripts individually, you can set the schema where all tables are created as follows: +-- SET search_path TO mimiciii; + +-------------- +--ADMISSIONS-- +-------------- + +-- subject_id +ALTER TABLE ADMISSIONS DROP CONSTRAINT IF EXISTS admissions_fk_subject_id; +ALTER TABLE ADMISSIONS +ADD CONSTRAINT admissions_fk_subject_id + FOREIGN KEY (SUBJECT_ID) + REFERENCES PATIENTS(SUBJECT_ID); + +----------- +--CALLOUT-- +----------- + +-- subject_id +ALTER TABLE CALLOUT DROP CONSTRAINT IF EXISTS callout_fk_subject_id; +ALTER TABLE CALLOUT +ADD CONSTRAINT callout_fk_subject_id + FOREIGN KEY (SUBJECT_ID) + REFERENCES PATIENTS(SUBJECT_ID); + +-- hadm_id +ALTER TABLE CALLOUT DROP CONSTRAINT IF EXISTS callout_fk_hadm_id; +ALTER TABLE CALLOUT +ADD CONSTRAINT callout_fk_hadm_id + FOREIGN KEY (HADM_ID) + REFERENCES ADMISSIONS(HADM_ID); + +--------------- +--CHARTEVENTS-- +--------------- + +-- subject_id +ALTER TABLE CHARTEVENTS DROP CONSTRAINT IF EXISTS chartevents_fk_subject_id; +ALTER TABLE CHARTEVENTS +ADD CONSTRAINT chartevents_fk_subject_id + FOREIGN KEY (SUBJECT_ID) + REFERENCES PATIENTS(SUBJECT_ID); + +-- cgid +ALTER TABLE CHARTEVENTS DROP CONSTRAINT IF EXISTS chartevents_fk_cgid; +ALTER TABLE CHARTEVENTS +ADD CONSTRAINT chartevents_fk_cgid + FOREIGN KEY (CGID) + REFERENCES CAREGIVERS(CGID); + +-- hadm_id +ALTER TABLE CHARTEVENTS DROP CONSTRAINT IF EXISTS chartevents_fk_hadm_id; +ALTER TABLE CHARTEVENTS +ADD CONSTRAINT chartevents_fk_hadm_id + FOREIGN KEY (HADM_ID) + REFERENCES ADMISSIONS(HADM_ID); + +-- item_id +ALTER TABLE CHARTEVENTS DROP CONSTRAINT IF EXISTS chartevents_fk_itemid; +ALTER TABLE CHARTEVENTS +ADD CONSTRAINT chartevents_fk_itemid + FOREIGN KEY (ITEMID) + REFERENCES D_ITEMS(ITEMID); + +-- icustay_id +ALTER TABLE CHARTEVENTS DROP CONSTRAINT IF EXISTS chartevents_fk_icustay_id; +ALTER TABLE CHARTEVENTS +ADD CONSTRAINT chartevents_fk_icustay_id + FOREIGN KEY (ICUSTAY_ID) + REFERENCES ICUSTAYS(ICUSTAY_ID); + +------------- +--CPTEVENTS-- +------------- + +-- subject_id +ALTER TABLE CPTEVENTS DROP CONSTRAINT IF EXISTS cptevents_fk_subject_id; +ALTER TABLE CPTEVENTS +ADD CONSTRAINT cptevents_fk_subject_id + FOREIGN KEY (SUBJECT_ID) + REFERENCES PATIENTS(SUBJECT_ID); + +-- hadm_id +ALTER TABLE CPTEVENTS DROP CONSTRAINT IF EXISTS cptevents_fk_hadm_id; +ALTER TABLE CPTEVENTS +ADD CONSTRAINT cptevents_fk_hadm_id + FOREIGN KEY (HADM_ID) + REFERENCES ADMISSIONS(HADM_ID); + +------------------ +--DATETIMEEVENTS-- +------------------ + +-- subject_id +ALTER TABLE DATETIMEEVENTS DROP CONSTRAINT IF EXISTS datetimeevents_fk_subject_id; +ALTER TABLE DATETIMEEVENTS +ADD CONSTRAINT datetimeevents_fk_subject_id + FOREIGN KEY (SUBJECT_ID) + REFERENCES PATIENTS(SUBJECT_ID); + +-- cgid +ALTER TABLE DATETIMEEVENTS DROP CONSTRAINT IF EXISTS datetimeevents_fk_cgid; +ALTER TABLE DATETIMEEVENTS +ADD CONSTRAINT datetimeevents_fk_cgid + FOREIGN KEY (CGID) + REFERENCES CAREGIVERS(CGID); + +-- hadm_id +ALTER TABLE DATETIMEEVENTS DROP CONSTRAINT IF EXISTS datetimeevents_fk_hadm_id; +ALTER TABLE DATETIMEEVENTS +ADD CONSTRAINT datetimeevents_fk_hadm_id + FOREIGN KEY (HADM_ID) + REFERENCES ADMISSIONS(HADM_ID); + +-- item_id +ALTER TABLE DATETIMEEVENTS DROP CONSTRAINT IF EXISTS datetimeevents_fk_itemid; +ALTER TABLE DATETIMEEVENTS +ADD CONSTRAINT datetimeevents_fk_itemid + FOREIGN KEY (ITEMID) + REFERENCES D_ITEMS(ITEMID); + +-- icustay_id +ALTER TABLE DATETIMEEVENTS DROP CONSTRAINT IF EXISTS datetimeevents_fk_icustay_id; +ALTER TABLE DATETIMEEVENTS +ADD CONSTRAINT datetimeevents_fk_icustay_id + FOREIGN KEY (ICUSTAY_ID) + REFERENCES ICUSTAYS(ICUSTAY_ID); + + +----------------- +--DIAGNOSES_ICD-- +----------------- + +-- subject_id +ALTER TABLE DIAGNOSES_ICD DROP CONSTRAINT IF EXISTS diagnoses_icd_fk_subject_id; +ALTER TABLE DIAGNOSES_ICD +ADD CONSTRAINT diagnoses_icd_fk_subject_id + FOREIGN KEY (SUBJECT_ID) + REFERENCES PATIENTS(SUBJECT_ID); + +-- hadm_id +ALTER TABLE DIAGNOSES_ICD DROP CONSTRAINT IF EXISTS diagnoses_icd_fk_hadm_id; +ALTER TABLE DIAGNOSES_ICD +ADD CONSTRAINT diagnoses_icd_fk_hadm_id + FOREIGN KEY (HADM_ID) + REFERENCES ADMISSIONS(HADM_ID); + +-- -- ICD9_code +-- ALTER TABLE DIAGNOSES_ICD DROP CONSTRAINT IF EXISTS diagnoses_icd_fk_icd9; +-- ALTER TABLE DIAGNOSES_ICD +-- ADD CONSTRAINT diagnoses_icd_fk_icd9 +-- FOREIGN KEY (ICD9_CODE) +-- REFERENCES D_ICD_DIAGNOSES(ICD9_CODE); + +-------------- +---DRGCODES--- +-------------- + +-- subject_id +ALTER TABLE DRGCODES DROP CONSTRAINT IF EXISTS drgcodes_fk_subject_id; +ALTER TABLE DRGCODES +ADD CONSTRAINT drgcodes_fk_subject_id + FOREIGN KEY (SUBJECT_ID) + REFERENCES PATIENTS(SUBJECT_ID); + +-- hadm_id +ALTER TABLE DRGCODES DROP CONSTRAINT IF EXISTS drgcodes_fk_hadm_id; +ALTER TABLE DRGCODES +ADD CONSTRAINT drgcodes_fk_hadm_id + FOREIGN KEY (HADM_ID) + REFERENCES ADMISSIONS(HADM_ID); + +----------------- +--ICUSTAYS-- +----------------- + +-- subject_id +ALTER TABLE ICUSTAYS DROP CONSTRAINT IF EXISTS icustays_fk_subject_id; +ALTER TABLE ICUSTAYS +ADD CONSTRAINT icustays_fk_subject_id + FOREIGN KEY (SUBJECT_ID) + REFERENCES PATIENTS(SUBJECT_ID); + +-- hadm_id +ALTER TABLE ICUSTAYS DROP CONSTRAINT IF EXISTS icustays_fk_hadm_id; +ALTER TABLE ICUSTAYS +ADD CONSTRAINT icustays_fk_hadm_id + FOREIGN KEY (HADM_ID) + REFERENCES ADMISSIONS(HADM_ID); + + +------------------ +--INPUTEVENTS_CV-- +------------------ + +-- subject_id +ALTER TABLE INPUTEVENTS_CV DROP CONSTRAINT IF EXISTS inputevents_cv_fk_subject_id; +ALTER TABLE INPUTEVENTS_CV +ADD CONSTRAINT inputevents_cv_fk_subject_id + FOREIGN KEY (SUBJECT_ID) + REFERENCES PATIENTS(SUBJECT_ID); + +-- hadm_id +ALTER TABLE INPUTEVENTS_CV DROP CONSTRAINT IF EXISTS inputevents_cv_fk_hadm_id; +ALTER TABLE INPUTEVENTS_CV +ADD CONSTRAINT inputevents_cv_fk_hadm_id + FOREIGN KEY (HADM_ID) + REFERENCES ADMISSIONS(HADM_ID); + +-- icustay_id +ALTER TABLE INPUTEVENTS_CV DROP CONSTRAINT IF EXISTS inputevents_cv_fk_icustay_id; +ALTER TABLE INPUTEVENTS_CV +ADD CONSTRAINT inputevents_cv_fk_icustay_id + FOREIGN KEY (ICUSTAY_ID) + REFERENCES ICUSTAYS(ICUSTAY_ID); + +-- cgid +ALTER TABLE INPUTEVENTS_CV DROP CONSTRAINT IF EXISTS inputevents_cv_fk_cgid; +ALTER TABLE INPUTEVENTS_CV +ADD CONSTRAINT inputevents_cv_fk_cgid + FOREIGN KEY (CGID) + REFERENCES CAREGIVERS(CGID); + +------------- +--LABEVENTS-- +------------- + +-- subject_id +ALTER TABLE LABEVENTS DROP CONSTRAINT IF EXISTS labevents_fk_subject_id; +ALTER TABLE LABEVENTS +ADD CONSTRAINT labevents_fk_subject_id + FOREIGN KEY (SUBJECT_ID) + REFERENCES PATIENTS(SUBJECT_ID); + +-- hadm_id +ALTER TABLE LABEVENTS DROP CONSTRAINT IF EXISTS labevents_fk_hadm_id; +ALTER TABLE LABEVENTS +ADD CONSTRAINT labevents_fk_hadm_id + FOREIGN KEY (HADM_ID) + REFERENCES ADMISSIONS(HADM_ID); + +-- item_id +ALTER TABLE LABEVENTS DROP CONSTRAINT IF EXISTS labevents_fk_itemid; +ALTER TABLE LABEVENTS +ADD CONSTRAINT labevents_fk_itemid + FOREIGN KEY (ITEMID) + REFERENCES D_LABITEMS(ITEMID); + +---------------------- +--MICROBIOLOGYEVENTS-- +---------------------- + +-- subject_id +ALTER TABLE MICROBIOLOGYEVENTS DROP CONSTRAINT IF EXISTS microbiologyevents_fk_subject_id; +ALTER TABLE MICROBIOLOGYEVENTS +ADD CONSTRAINT microbiologyevents_fk_subject_id + FOREIGN KEY (SUBJECT_ID) + REFERENCES PATIENTS(SUBJECT_ID); + +-- hadm_id +ALTER TABLE MICROBIOLOGYEVENTS DROP CONSTRAINT IF EXISTS microbiologyevents_fk_hadm_id; +ALTER TABLE MICROBIOLOGYEVENTS +ADD CONSTRAINT microbiologyevents_fk_hadm_id + FOREIGN KEY (HADM_ID) + REFERENCES ADMISSIONS(HADM_ID); + +-- ITEMIDs +ALTER TABLE MICROBIOLOGYEVENTS DROP CONSTRAINT IF EXISTS microbiologyevents_fk_spec_itemid; +ALTER TABLE MICROBIOLOGYEVENTS +ADD CONSTRAINT microbiologyevents_fk_spec_itemid + FOREIGN KEY (spec_itemid) + REFERENCES D_ITEMS(itemid); +ALTER TABLE MICROBIOLOGYEVENTS DROP CONSTRAINT IF EXISTS microbiologyevents_fk_org_itemid; +ALTER TABLE MICROBIOLOGYEVENTS +ADD CONSTRAINT microbiologyevents_fk_org_itemid + FOREIGN KEY (org_itemid) + REFERENCES D_ITEMS(itemid); +ALTER TABLE MICROBIOLOGYEVENTS DROP CONSTRAINT IF EXISTS microbiologyevents_fk_ab_itemid; +ALTER TABLE MICROBIOLOGYEVENTS +ADD CONSTRAINT microbiologyevents_fk_ab_itemid + FOREIGN KEY (ab_itemid) + REFERENCES D_ITEMS(itemid); + +-------------- +--NOTEEVENTS-- +-------------- + +-- subject_id +ALTER TABLE NOTEEVENTS DROP CONSTRAINT IF EXISTS noteevents_fk_subject_id; +ALTER TABLE NOTEEVENTS +ADD CONSTRAINT noteevents_fk_subject_id + FOREIGN KEY (SUBJECT_ID) + REFERENCES PATIENTS(SUBJECT_ID); + +-- hadm_id +ALTER TABLE NOTEEVENTS DROP CONSTRAINT IF EXISTS noteevents_fk_hadm_id; +ALTER TABLE NOTEEVENTS +ADD CONSTRAINT noteevents_fk_hadm_id + FOREIGN KEY (HADM_ID) + REFERENCES ADMISSIONS(HADM_ID); + +-- cgid +ALTER TABLE NOTEEVENTS DROP CONSTRAINT IF EXISTS noteevents_fk_cgid; +ALTER TABLE NOTEEVENTS +ADD CONSTRAINT noteevents_fk_cgid + FOREIGN KEY (CGID) + REFERENCES CAREGIVERS(CGID); + + +---------------- +--OUTPUTEVENTS-- +---------------- + +-- subject_id +ALTER TABLE OUTPUTEVENTS DROP CONSTRAINT IF EXISTS outputevents_subject_id; +ALTER TABLE OUTPUTEVENTS +ADD CONSTRAINT outputevents_fk_subject_id + FOREIGN KEY (SUBJECT_ID) + REFERENCES PATIENTS(SUBJECT_ID); + +-- hadm_id +ALTER TABLE OUTPUTEVENTS DROP CONSTRAINT IF EXISTS outputevents_hadm_id; +ALTER TABLE OUTPUTEVENTS +ADD CONSTRAINT outputevents_fk_hadm_id + FOREIGN KEY (HADM_ID) + REFERENCES ADMISSIONS(HADM_ID); + +-- icustay_id +ALTER TABLE OUTPUTEVENTS DROP CONSTRAINT IF EXISTS outputevents_icustay_id; +ALTER TABLE OUTPUTEVENTS +ADD CONSTRAINT outputevents_fk_icustay_id + FOREIGN KEY (ICUSTAY_ID) + REFERENCES ICUSTAYS(ICUSTAY_ID); + +-- itemid +ALTER TABLE OUTPUTEVENTS DROP CONSTRAINT IF EXISTS outputevents_fk_itemid; +ALTER TABLE OUTPUTEVENTS +ADD CONSTRAINT outputevents_fk_itemid + FOREIGN KEY (ITEMID) + REFERENCES D_ITEMS(ITEMID); + +-- cgid +ALTER TABLE OUTPUTEVENTS DROP CONSTRAINT IF EXISTS outputevents_cgid; +ALTER TABLE OUTPUTEVENTS +ADD CONSTRAINT outputevents_fk_cgid + FOREIGN KEY (CGID) + REFERENCES CAREGIVERS(CGID); + + + +----------------- +--PRESCRIPTIONS-- +----------------- + +-- subject_id +ALTER TABLE PRESCRIPTIONS DROP CONSTRAINT IF EXISTS prescriptions_fk_subject_id; +ALTER TABLE PRESCRIPTIONS +ADD CONSTRAINT prescriptions_fk_subject_id + FOREIGN KEY (SUBJECT_ID) + REFERENCES PATIENTS(SUBJECT_ID); + +-- hadm_id +ALTER TABLE PRESCRIPTIONS DROP CONSTRAINT IF EXISTS prescriptions_fk_hadm_id; +ALTER TABLE PRESCRIPTIONS +ADD CONSTRAINT prescriptions_fk_hadm_id + FOREIGN KEY (HADM_ID) + REFERENCES ADMISSIONS(HADM_ID); + +-- icustay_id +ALTER TABLE PRESCRIPTIONS DROP CONSTRAINT IF EXISTS prescriptions_fk_icustay_id; +ALTER TABLE PRESCRIPTIONS +ADD CONSTRAINT prescriptions_fk_icustay_id + FOREIGN KEY (ICUSTAY_ID) + REFERENCES ICUSTAYS(ICUSTAY_ID); + +------------------ +--PROCEDURES_ICD-- +------------------ + +-- subject_id +ALTER TABLE PROCEDURES_ICD DROP CONSTRAINT IF EXISTS procedures_icd_fk_subject_id; +ALTER TABLE PROCEDURES_ICD +ADD CONSTRAINT procedures_icd_fk_subject_id + FOREIGN KEY (SUBJECT_ID) + REFERENCES PATIENTS(SUBJECT_ID); + +-- hadm_id +ALTER TABLE PROCEDURES_ICD DROP CONSTRAINT IF EXISTS procedures_icd_fk_hadm_id; +ALTER TABLE PROCEDURES_ICD +ADD CONSTRAINT procedures_icd_fk_hadm_id + FOREIGN KEY (HADM_ID) + REFERENCES ADMISSIONS(HADM_ID); + +-- -- ICD9_code +-- ALTER TABLE PROCEDURES_ICD DROP CONSTRAINT IF EXISTS procedures_icd_fk_icd9; +-- ALTER TABLE PROCEDURES_ICD +-- ADD CONSTRAINT procedures_icd_fk_icd9 +-- FOREIGN KEY (ICD9_CODE) +-- REFERENCES D_ICD_PROCEDURES(ICD9_CODE); + +------------ +--SERVICES-- +------------ + +-- subject_id +ALTER TABLE SERVICES DROP CONSTRAINT IF EXISTS services_fk_subject_id; +ALTER TABLE SERVICES +ADD CONSTRAINT services_fk_subject_id + FOREIGN KEY (SUBJECT_ID) + REFERENCES PATIENTS(SUBJECT_ID); + +-- hadm_id +ALTER TABLE SERVICES DROP CONSTRAINT IF EXISTS services_fk_hadm_id; +ALTER TABLE SERVICES +ADD CONSTRAINT services_fk_hadm_id + FOREIGN KEY (HADM_ID) + REFERENCES ADMISSIONS(HADM_ID); + +------------- +--TRANSFERS-- +------------- + +-- subject_id +ALTER TABLE TRANSFERS DROP CONSTRAINT IF EXISTS transfers_fk_subject_id; +ALTER TABLE TRANSFERS +ADD CONSTRAINT transfers_fk_subject_id + FOREIGN KEY (SUBJECT_ID) + REFERENCES PATIENTS(SUBJECT_ID); + +-- hadm_id +ALTER TABLE TRANSFERS DROP CONSTRAINT IF EXISTS transfers_fk_hadm_id; +ALTER TABLE TRANSFERS +ADD CONSTRAINT transfers_fk_hadm_id + FOREIGN KEY (HADM_ID) + REFERENCES ADMISSIONS(HADM_ID); + +-- icustay_id +ALTER TABLE TRANSFERS DROP CONSTRAINT IF EXISTS transfers_fk_icustay_id; +ALTER TABLE TRANSFERS +ADD CONSTRAINT transfers_fk_icustay_id + FOREIGN KEY (ICUSTAY_ID) + REFERENCES ICUSTAYS(ICUSTAY_ID); + From c8362e8ec1711bdc96b085864be502bae1313cdb Mon Sep 17 00:00:00 2001 From: Yile Ning Date: Fri, 20 Jan 2023 23:37:33 +0800 Subject: [PATCH 05/12] check data --- .../code/buildmimic/05_checks.sql | 183 ++++++++++++++++++ 1 file changed, 183 insertions(+) create mode 100644 mimic-iii-carevue/code/buildmimic/05_checks.sql diff --git a/mimic-iii-carevue/code/buildmimic/05_checks.sql b/mimic-iii-carevue/code/buildmimic/05_checks.sql new file mode 100644 index 000000000..1b897c967 --- /dev/null +++ b/mimic-iii-carevue/code/buildmimic/05_checks.sql @@ -0,0 +1,183 @@ +-- this query runs a few simple checks to make sure the database has loaded in OK +-- These checks are designed for MIMIC-III v1.4 + +-- If running scripts individually, you can set the schema where all tables are created as follows: +-- SET search_path TO mimiciii; + +with expected as +( + -- buildmimic + select 'admissions' as tbl, 26836 as row_count UNION ALL + select 'callout' as tbl, 6480 as row_count UNION ALL + select 'caregivers' as tbl, 7567 as row_count UNION ALL + select 'chartevents' as tbl, 172484058 as row_count UNION ALL + select 'cptevents' as tbl, 172213 as row_count UNION ALL + select 'd_cpt' as tbl, 134 as row_count UNION ALL + select 'd_icd_diagnoses' as tbl, 14567 as row_count UNION ALL + select 'd_icd_procedures' as tbl, 3882 as row_count UNION ALL + select 'd_items' as tbl, 12487 as row_count UNION ALL + select 'd_labitems' as tbl, 753 as row_count UNION ALL + select 'datetimeevents' as tbl, 1222856 as row_count UNION ALL + select 'diagnoses_icd' as tbl, 225345 as row_count UNION ALL + select 'drgcodes' as tbl, 38919 as row_count UNION ALL + select 'icustays' as tbl, 28391 as row_count UNION ALL + select 'inputevents_cv' as tbl, 13560330 as row_count UNION ALL + select 'labevents' as tbl, 10896310 as row_count UNION ALL + select 'microbiologyevents' as tbl, 281248 as row_count UNION ALL + select 'noteevents' as tbl, 880107 as row_count UNION ALL + select 'outputevents' as tbl, 2021183 as row_count UNION ALL + select 'patients' as tbl, 23692 as row_count UNION ALL + select 'prescriptions' as tbl, 1435643 as row_count UNION ALL + select 'procedures_icd' as tbl, 113012 as row_count UNION ALL + select 'services' as tbl, 32207 as row_count UNION ALL + select 'transfers' as tbl, 118217 as row_count UNION ALL + -- concepts + select 'code_status' as tbl, 28391 as row_count UNION ALL + select 'ventilation_classification' as tbl, 1388864 as row_count UNION ALL + select 'ventilation_durations' as tbl, 18454 as row_count UNION ALL + select 'crrt_durations' as tbl, 2796 as row_count UNION ALL + select 'dobutamine_durations' as tbl, 904 as row_count UNION ALL + select 'dopamine_durations' as tbl, 3420 as row_count UNION ALL + select 'epinephrine_durations' as tbl, 907 as row_count UNION ALL + select 'isuprel_durations' as tbl, 2 as row_count UNION ALL + select 'milrinone_durations' as tbl, 845 as row_count UNION ALL + select 'norepinephrine_durations' as tbl, 7092 as row_count UNION ALL + select 'phenylephrine_durations' as tbl, 11512 as row_count UNION ALL + select 'vasopressin_durations' as tbl, 1597 as row_count UNION ALL + select 'vasopressor_durations' as tbl, 18304 as row_count UNION ALL + select 'weight_durations' as tbl, 924615 as row_count UNION ALL + select 'elixhauser_ahrq_v37' as tbl, 26836 as row_count UNION ALL + select 'elixhauser_ahrq_v37_no_drg' as tbl, 26836 as row_count UNION ALL + select 'elixhauser_quan' as tbl, 26836 as row_count UNION ALL + select 'elixhauser_score_ahrq' as tbl, 26836 as row_count UNION ALL + select 'elixhauser_score_quan' as tbl, 26836 as row_count UNION ALL + select 'icustay_detail' as tbl, 28121 as row_count UNION ALL + select 'blood_gas_first_day' as tbl, 112259 as row_count UNION ALL + select 'blood_gas_first_day_arterial' as tbl, 79579 as row_count UNION ALL + select 'gcs_first_day' as tbl, 28391 as row_count UNION ALL + select 'height_first_day' as tbl, 20291 as row_count UNION ALL + select 'labs_first_day' as tbl, 28391 as row_count UNION ALL + select 'rrt_first_day' as tbl, 28391 as row_count UNION ALL + select 'urine_output_first_day' as tbl, 22084 as row_count UNION ALL + select 'ventilation_first_day' as tbl, 28391 as row_count UNION ALL + select 'vitals_first_day' as tbl, 5728 as row_count UNION ALL + select 'weight_first_day' as tbl, 20291 as row_count UNION ALL + select 'urine_output' as tbl, 1539085 as row_count UNION ALL + select 'angus' as tbl, 26836 as row_count UNION ALL + select 'martin' as tbl, 26836 as row_count UNION ALL + select 'explicit' as tbl, 26836 as row_count UNION ALL + select 'ccs_dx' as tbl, 15072 as row_count UNION ALL + select 'kdigo_creatinine' as tbl, 152444 as row_count UNION ALL + select 'kdigo_uo' as tbl, 1539085 as row_count UNION ALL + select 'kdigo_stages' as tbl, 1683340 as row_count UNION ALL + select 'kdigo_stages_7day' as tbl, 28391 as row_count UNION ALL + select 'kdigo_stages_48hr' as tbl, 28391 as row_count UNION ALL + select 'meld' as tbl, 28391 as row_count UNION ALL + select 'oasis' as tbl, 28391 as row_count UNION ALL + select 'sofa' as tbl, 28391 as row_count UNION ALL + select 'saps' as tbl, 28391 as row_count UNION ALL + select 'sapsii' as tbl, 28391 as row_count UNION ALL + select 'apsiii' as tbl, 28391 as row_count UNION ALL + select 'lods' as tbl, 28391 as row_count UNION ALL + select 'sirs' as tbl, 28391 as row_count UNION ALL + select 'qsofa' as tbl, 28391 as row_count UNION ALL + select 'sepsis3' as tbl, 28391 as row_count UNION ALL + select 'age' as tbl, 26836 as row_count UNION ALL + select 'charlson' as tbl, 26836 as row_count +) + +, observed as +( + -- buildmimic + select 'admissions' as tbl, count(*) as row_count from admissions UNION ALL + select 'callout' as tbl, count(*) as row_count from callout UNION ALL + select 'caregivers' as tbl, count(*) as row_count from caregivers UNION ALL + select 'chartevents' as tbl, count(*) as row_count from chartevents UNION ALL + select 'cptevents' as tbl, count(*) as row_count from cptevents UNION ALL + select 'd_cpt' as tbl, count(*) as row_count from d_cpt UNION ALL + select 'd_icd_diagnoses' as tbl, count(*) as row_count from d_icd_diagnoses UNION ALL + select 'd_icd_procedures' as tbl, count(*) as row_count from d_icd_procedures UNION ALL + select 'd_items' as tbl, count(*) as row_count from d_items UNION ALL + select 'd_labitems' as tbl, count(*) as row_count from d_labitems UNION ALL + select 'datetimeevents' as tbl, count(*) as row_count from datetimeevents UNION ALL + select 'diagnoses_icd' as tbl, count(*) as row_count from diagnoses_icd UNION ALL + select 'drgcodes' as tbl, count(*) as row_count from drgcodes UNION ALL + select 'icustays' as tbl, count(*) as row_count from icustays UNION ALL + select 'inputevents_cv' as tbl, count(*) as row_count from inputevents_cv UNION ALL + select 'labevents' as tbl, count(*) as row_count from labevents UNION ALL + select 'microbiologyevents' as tbl, count(*) as row_count from microbiologyevents UNION ALL + select 'noteevents' as tbl, count(*) as row_count from noteevents UNION ALL + select 'outputevents' as tbl, count(*) as row_count from outputevents UNION ALL + select 'patients' as tbl, count(*) as row_count from patients UNION ALL + select 'prescriptions' as tbl, count(*) as row_count from prescriptions UNION ALL + select 'procedures_icd' as tbl, count(*) as row_count from procedures_icd UNION ALL + select 'services' as tbl, count(*) as row_count from services UNION ALL + select 'transfers' as tbl, count(*) as row_count from transfers UNION ALL + -- concepts + select 'code_status' as tbl, count(*) as row_count from code_status UNION ALL + select 'ventilation_classification' as tbl, count(*) as row_count from ventilation_classification UNION ALL + select 'ventilation_durations' as tbl, count(*) as row_count from ventilation_durations UNION ALL + select 'crrt_durations' as tbl, count(*) as row_count from crrt_durations UNION ALL + select 'dobutamine_durations' as tbl, count(*) as row_count from dobutamine_durations UNION ALL + select 'dopamine_durations' as tbl, count(*) as row_count from dopamine_durations UNION ALL + select 'epinephrine_durations' as tbl, count(*) as row_count from epinephrine_durations UNION ALL + select 'isuprel_durations' as tbl, count(*) as row_count from isuprel_durations UNION ALL + select 'milrinone_durations' as tbl, count(*) as row_count from milrinone_durations UNION ALL + select 'norepinephrine_durations' as tbl, count(*) as row_count from norepinephrine_durations UNION ALL + select 'phenylephrine_durations' as tbl, count(*) as row_count from phenylephrine_durations UNION ALL + select 'vasopressin_durations' as tbl, count(*) as row_count from vasopressin_durations UNION ALL + select 'vasopressor_durations' as tbl, count(*) as row_count from vasopressor_durations UNION ALL + select 'weight_durations' as tbl, count(*) as row_count from weight_durations UNION ALL + select 'elixhauser_ahrq_v37' as tbl, count(*) as row_count from elixhauser_ahrq_v37 UNION ALL + select 'elixhauser_ahrq_v37_no_drg' as tbl, count(*) as row_count from elixhauser_ahrq_v37_no_drg UNION ALL + select 'elixhauser_quan' as tbl, count(*) as row_count from elixhauser_quan UNION ALL + select 'elixhauser_score_ahrq' as tbl, count(*) as row_count from elixhauser_score_ahrq UNION ALL + select 'elixhauser_score_quan' as tbl, count(*) as row_count from elixhauser_score_quan UNION ALL + select 'icustay_detail' as tbl, count(*) as row_count from icustay_detail UNION ALL + select 'blood_gas_first_day' as tbl, count(*) as row_count from blood_gas_first_day UNION ALL + select 'blood_gas_first_day_arterial' as tbl, count(*) as row_count from blood_gas_first_day_arterial UNION ALL + select 'gcs_first_day' as tbl, count(*) as row_count from gcs_first_day UNION ALL + select 'height_first_day' as tbl, count(*) as row_count from height_first_day UNION ALL + select 'labs_first_day' as tbl, count(*) as row_count from labs_first_day UNION ALL + select 'rrt_first_day' as tbl, count(*) as row_count from rrt_first_day UNION ALL + select 'urine_output_first_day' as tbl, count(*) as row_count from urine_output_first_day UNION ALL + select 'ventilation_first_day' as tbl, count(*) as row_count from ventilation_first_day UNION ALL + select 'vitals_first_day' as tbl, count(*) as row_count from vitals_first_day UNION ALL + select 'weight_first_day' as tbl, count(*) as row_count from weight_first_day UNION ALL + select 'urine_output' as tbl, count(*) as row_count from urine_output UNION ALL + select 'angus' as tbl, count(*) as row_count from angus UNION ALL + select 'martin' as tbl, count(*) as row_count from martin UNION ALL + select 'explicit' as tbl, count(*) as row_count from explicit UNION ALL + select 'ccs_dx' as tbl, count(*) as row_count from ccs_dx UNION ALL + select 'kdigo_creatinine' as tbl, count(*) as row_count from kdigo_creatinine UNION ALL + select 'kdigo_uo' as tbl, count(*) as row_count from kdigo_uo UNION ALL + select 'kdigo_stages' as tbl, count(*) as row_count from kdigo_stages UNION ALL + select 'kdigo_stages_7day' as tbl, count(*) as row_count from kdigo_stages_7day UNION ALL + select 'kdigo_stages_48hr' as tbl, count(*) as row_count from kdigo_stages_48hr UNION ALL + select 'meld' as tbl, count(*) as row_count from meld UNION ALL + select 'oasis' as tbl, count(*) as row_count from oasis UNION ALL + select 'sofa' as tbl, count(*) as row_count from sofa UNION ALL + select 'saps' as tbl, count(*) as row_count from saps UNION ALL + select 'sapsii' as tbl, count(*) as row_count from sapsii UNION ALL + select 'apsiii' as tbl, count(*) as row_count from apsiii UNION ALL + select 'lods' as tbl, count(*) as row_count from lods UNION ALL + select 'sirs' as tbl, count(*) as row_count from sirs UNION ALL + select 'qsofa' as tbl, count(*) as row_count from qsofa UNION ALL + select 'sepsis3' as tbl, count(*) as row_count from sepsis3 UNION ALL + select 'age' as tbl, count(*) as row_count from age UNION ALL + select 'charlson' as tbl, count(*) as row_count from charlson +) + +select + exp.tbl + , exp.row_count as expected_count + , obs.row_count as observed_count + , case + when exp.row_count = obs.row_count + then 'PASSED' + else 'FAILED' + end as ROW_COUNT_CHECK +from expected exp +inner join observed obs + on exp.tbl = obs.tbl +order by exp.tbl; From be5d6d3a5cc8881160da8ff2443eebc777998ec2 Mon Sep 17 00:00:00 2001 From: Yile Ning Date: Fri, 20 Jan 2023 23:40:50 +0800 Subject: [PATCH 06/12] sql codes of concepts --- .../code/concepts/01_code_status.sql | 74 ++ .../02_ventilation_classification.sql | 121 +++ .../concepts/03_ventilation_durations.sql | 99 ++ .../code/concepts/04_crrt_durations.sql | 185 ++++ .../code/concepts/05_dobutamine_durations.sql | 206 ++++ .../code/concepts/06_dopamine_durations.sql | 206 ++++ .../concepts/07_epinephrine_durations.sql | 206 ++++ .../code/concepts/08_isuprel_durations.sql | 206 ++++ .../code/concepts/09_milrinone_durations.sql | 206 ++++ .../concepts/10_norepinephrine_durations.sql | 206 ++++ .../concepts/11_phenylephrine_durations.sql | 206 ++++ .../concepts/12_vasopressin_durations.sql | 206 ++++ .../concepts/13_vasopressor_durations.sql | 263 +++++ .../code/concepts/14_weight_durations.sql | 187 ++++ .../code/concepts/15_elixhauser_ahrq_v37.sql | 991 ++++++++++++++++++ .../16_elixhauser_ahrq_v37_no_drg.sql | 522 +++++++++ .../code/concepts/17_elixhauser_quan.sql | 271 +++++ .../concepts/18_elixhauser_score_ahrq.sql | 107 ++ .../concepts/19_elixhauser_score_quan.sql | 108 ++ .../code/concepts/20_icustay_detail.sql | 97 ++ .../code/concepts/21_blood_gas_first_day.sql | 106 ++ .../22_blood_gas_first_day_arterial.sql | 140 +++ .../code/concepts/23_gcs_first_day.sql | 129 +++ .../code/concepts/24_height_first_day.sql | 50 + .../code/concepts/25_labs_first_day.sql | 154 +++ .../code/concepts/26_rrt_first_day.sql | 85 ++ .../concepts/27_urine_output_first_day.sql | 38 + .../concepts/28_ventilation_first_day.sql | 25 + .../code/concepts/29_vitals_first_day.sql | 98 ++ .../code/concepts/30_weight_first_day.sql | 67 ++ .../code/concepts/31_urine_output.sql | 28 + mimic-iii-carevue/code/concepts/32_angus.sql | 103 ++ mimic-iii-carevue/code/concepts/33_martin.sql | 111 ++ .../code/concepts/34_explicit.sql | 35 + mimic-iii-carevue/code/concepts/35_ccs_dx.sql | 55 + .../code/concepts/36_kdigo_creatinine.sql | 38 + .../code/concepts/37_kdigo_uo.sql | 83 ++ .../code/concepts/38_kdigo_stages.sql | 91 ++ .../code/concepts/39_kdigo_stages_7day.sql | 68 ++ .../code/concepts/40_kdigo_stages_48hr.sql | 68 ++ mimic-iii-carevue/code/concepts/41_meld.sql | 157 +++ mimic-iii-carevue/code/concepts/42_oasis.sql | 253 +++++ mimic-iii-carevue/code/concepts/43_sofa.sql | 242 +++++ mimic-iii-carevue/code/concepts/44_saps.sql | 335 ++++++ mimic-iii-carevue/code/concepts/45_sapsii.sql | 383 +++++++ mimic-iii-carevue/code/concepts/46_apsiii.sql | 835 +++++++++++++++ mimic-iii-carevue/code/concepts/47_lods.sql | 235 +++++ mimic-iii-carevue/code/concepts/48_sirs.sql | 112 ++ mimic-iii-carevue/code/concepts/49_qsofa.sql | 70 ++ .../code/concepts/50_sepsis3.sql | 375 +++++++ mimic-iii-carevue/code/concepts/51_age.sql | 29 + .../code/concepts/52_charlson.sql | 226 ++++ 52 files changed, 9497 insertions(+) create mode 100644 mimic-iii-carevue/code/concepts/01_code_status.sql create mode 100644 mimic-iii-carevue/code/concepts/02_ventilation_classification.sql create mode 100644 mimic-iii-carevue/code/concepts/03_ventilation_durations.sql create mode 100644 mimic-iii-carevue/code/concepts/04_crrt_durations.sql create mode 100644 mimic-iii-carevue/code/concepts/05_dobutamine_durations.sql create mode 100644 mimic-iii-carevue/code/concepts/06_dopamine_durations.sql create mode 100644 mimic-iii-carevue/code/concepts/07_epinephrine_durations.sql create mode 100644 mimic-iii-carevue/code/concepts/08_isuprel_durations.sql create mode 100644 mimic-iii-carevue/code/concepts/09_milrinone_durations.sql create mode 100644 mimic-iii-carevue/code/concepts/10_norepinephrine_durations.sql create mode 100644 mimic-iii-carevue/code/concepts/11_phenylephrine_durations.sql create mode 100644 mimic-iii-carevue/code/concepts/12_vasopressin_durations.sql create mode 100644 mimic-iii-carevue/code/concepts/13_vasopressor_durations.sql create mode 100644 mimic-iii-carevue/code/concepts/14_weight_durations.sql create mode 100644 mimic-iii-carevue/code/concepts/15_elixhauser_ahrq_v37.sql create mode 100644 mimic-iii-carevue/code/concepts/16_elixhauser_ahrq_v37_no_drg.sql create mode 100644 mimic-iii-carevue/code/concepts/17_elixhauser_quan.sql create mode 100644 mimic-iii-carevue/code/concepts/18_elixhauser_score_ahrq.sql create mode 100644 mimic-iii-carevue/code/concepts/19_elixhauser_score_quan.sql create mode 100644 mimic-iii-carevue/code/concepts/20_icustay_detail.sql create mode 100644 mimic-iii-carevue/code/concepts/21_blood_gas_first_day.sql create mode 100644 mimic-iii-carevue/code/concepts/22_blood_gas_first_day_arterial.sql create mode 100644 mimic-iii-carevue/code/concepts/23_gcs_first_day.sql create mode 100644 mimic-iii-carevue/code/concepts/24_height_first_day.sql create mode 100644 mimic-iii-carevue/code/concepts/25_labs_first_day.sql create mode 100644 mimic-iii-carevue/code/concepts/26_rrt_first_day.sql create mode 100644 mimic-iii-carevue/code/concepts/27_urine_output_first_day.sql create mode 100644 mimic-iii-carevue/code/concepts/28_ventilation_first_day.sql create mode 100644 mimic-iii-carevue/code/concepts/29_vitals_first_day.sql create mode 100644 mimic-iii-carevue/code/concepts/30_weight_first_day.sql create mode 100644 mimic-iii-carevue/code/concepts/31_urine_output.sql create mode 100644 mimic-iii-carevue/code/concepts/32_angus.sql create mode 100644 mimic-iii-carevue/code/concepts/33_martin.sql create mode 100644 mimic-iii-carevue/code/concepts/34_explicit.sql create mode 100644 mimic-iii-carevue/code/concepts/35_ccs_dx.sql create mode 100644 mimic-iii-carevue/code/concepts/36_kdigo_creatinine.sql create mode 100644 mimic-iii-carevue/code/concepts/37_kdigo_uo.sql create mode 100644 mimic-iii-carevue/code/concepts/38_kdigo_stages.sql create mode 100644 mimic-iii-carevue/code/concepts/39_kdigo_stages_7day.sql create mode 100644 mimic-iii-carevue/code/concepts/40_kdigo_stages_48hr.sql create mode 100644 mimic-iii-carevue/code/concepts/41_meld.sql create mode 100644 mimic-iii-carevue/code/concepts/42_oasis.sql create mode 100644 mimic-iii-carevue/code/concepts/43_sofa.sql create mode 100644 mimic-iii-carevue/code/concepts/44_saps.sql create mode 100644 mimic-iii-carevue/code/concepts/45_sapsii.sql create mode 100644 mimic-iii-carevue/code/concepts/46_apsiii.sql create mode 100644 mimic-iii-carevue/code/concepts/47_lods.sql create mode 100644 mimic-iii-carevue/code/concepts/48_sirs.sql create mode 100644 mimic-iii-carevue/code/concepts/49_qsofa.sql create mode 100644 mimic-iii-carevue/code/concepts/50_sepsis3.sql create mode 100644 mimic-iii-carevue/code/concepts/51_age.sql create mode 100644 mimic-iii-carevue/code/concepts/52_charlson.sql diff --git a/mimic-iii-carevue/code/concepts/01_code_status.sql b/mimic-iii-carevue/code/concepts/01_code_status.sql new file mode 100644 index 000000000..38cb39bd6 --- /dev/null +++ b/mimic-iii-carevue/code/concepts/01_code_status.sql @@ -0,0 +1,74 @@ +drop table if exists code_status; create table code_status as +-- This query extracts: +-- i) a patient's first code status +-- ii) a patient's last code status +-- iii) the time of the first entry of DNR or CMO + +with t1 as +( + select icustay_id, charttime, value + -- use row number to identify first and last code status + , row_number() over (partition by icustay_id order by charttime) as rnfirst + , row_number() over (partition by icustay_id order by charttime desc) as rnlast + + -- coalesce the values + , case + when value in ('Full Code','Full code') then 1 + else 0 end as fullcode + , case + when value in ('Comfort Measures','Comfort measures only') then 1 + else 0 end as cmo + , case + when value = 'CPR Not Indicate' then 1 + else 0 end as dncpr -- only in CareVue, i.e. only possible for ~60-70% of patients + , case + when value in ('Do Not Intubate','DNI (do not intubate)','DNR / DNI') then 1 + else 0 end as dni + , case + when value in ('Do Not Resuscita','DNR (do not resuscitate)','DNR / DNI') then 1 + else 0 end as dnr + from chartevents + where itemid in (128, 223758) + and value is not null + and value != 'Other/Remarks' + -- exclude rows marked as error + and (error is null or error = 0) +) +select ie.subject_id, ie.hadm_id, ie.icustay_id + -- first recorded code status + , max(case when rnfirst = 1 then t1.fullcode else null end) as fullcode_first + , max(case when rnfirst = 1 then t1.cmo else null end) as cmo_first + , max(case when rnfirst = 1 then t1.dnr else null end) as dnr_first + , max(case when rnfirst = 1 then t1.dni else null end) as dni_first + , max(case when rnfirst = 1 then t1.dncpr else null end) as dncpr_first + + -- last recorded code status + , max(case when rnlast = 1 then t1.fullcode else null end) as fullcode_last + , max(case when rnlast = 1 then t1.cmo else null end) as cmo_last + , max(case when rnlast = 1 then t1.dnr else null end) as dnr_last + , max(case when rnlast = 1 then t1.dni else null end) as dni_last + , max(case when rnlast = 1 then t1.dncpr else null end) as dncpr_last + + -- were they *at any time* given a certain code status + , max(t1.fullcode) as fullcode + , max(t1.cmo) as cmo + , max(t1.dnr) as dnr + , max(t1.dni) as dni + , max(t1.dncpr) as dncpr + + -- time until their first DNR + , min(case when t1.dnr = 1 then t1.charttime else null end) + as dnr_first_charttime + , min(case when t1.dni = 1 then t1.charttime else null end) + as dni_first_charttime + , min(case when t1.dncpr = 1 then t1.charttime else null end) + as dncpr_first_charttime + + -- first code status of CMO + , min(case when t1.cmo = 1 then t1.charttime else null end) + as timecmo_chart + +from icustays ie +left join t1 + on ie.icustay_id = t1.icustay_id +group by ie.subject_id, ie.hadm_id, ie.icustay_id, ie.intime; \ No newline at end of file diff --git a/mimic-iii-carevue/code/concepts/02_ventilation_classification.sql b/mimic-iii-carevue/code/concepts/02_ventilation_classification.sql new file mode 100644 index 000000000..04de47f53 --- /dev/null +++ b/mimic-iii-carevue/code/concepts/02_ventilation_classification.sql @@ -0,0 +1,121 @@ +drop table if exists ventilation_classification; create table ventilation_classification as +-- Identify The presence of a mechanical ventilation using settings +select + icustay_id, charttime + -- case statement determining whether it is an instance of mech vent + , max( + case + when itemid is null or value is null then 0 -- can't have null values + when itemid = 720 and value != 'Other/Remarks' then 1 -- VentTypeRecorded + when itemid = 223848 and value != 'Other' then 1 + when itemid = 223849 then 1 -- ventilator mode + when itemid = 467 and value = 'Ventilator' then 1 -- O2 delivery device == ventilator + when itemid in( + 445, 448, 449, 450, 1340, 1486, 1600, 224687 -- minute volume + , 639, 654, 681, 682, 683, 684,224685,224684,224686 -- tidal volume + , 218,436,535,444,459,224697,224695,224696,224746,224747 -- High/Low/Peak/Mean/Neg insp force ("RespPressure") + , 221,1,1211,1655,2000,226873,224738,224419,224750,227187 -- Insp pressure + , 543 -- PlateauPressure + , 5865,5866,224707,224709,224705,224706 -- APRV pressure + , 60,437,505,506,686,220339,224700 -- PEEP + , 3459 -- high pressure relief + , 501,502,503,224702 -- PCV + , 223,667,668,669,670,671,672 -- TCPCV + , 224701 -- PSVlevel + ) + then 1 + else 0 + end) as mechvent + , max( + case + -- initiation of oxygen therapy indicates the ventilation has ended + when itemid = 226732 and value in + ( + 'Nasal cannula', -- 153714 observations + 'Face tent', -- 24601 observations + 'Aerosol-cool', -- 24560 observations + 'Trach mask ', -- 16435 observations + 'High flow neb', -- 10785 observations + 'Non-rebreather', -- 5182 observations + 'Venti mask ', -- 1947 observations + 'Medium conc mask ', -- 1888 observations + 'T-piece', -- 1135 observations + 'High flow nasal cannula', -- 925 observations + 'Ultrasonic neb', -- 9 observations + 'Vapomist' -- 3 observations + ) then 1 + when itemid = 467 and value in + ( + 'Cannula', -- 278252 observations + 'Nasal Cannula', -- 248299 observations + -- 'None', -- 95498 observations + 'Face Tent', -- 35766 observations + 'Aerosol-Cool', -- 33919 observations + 'Trach Mask', -- 32655 observations + 'Hi Flow Neb', -- 14070 observations + 'Non-Rebreather', -- 10856 observations + 'Venti Mask', -- 4279 observations + 'Medium Conc Mask', -- 2114 observations + 'Vapotherm', -- 1655 observations + 'T-Piece', -- 779 observations + 'Hood', -- 670 observations + 'Hut', -- 150 observations + 'TranstrachealCat', -- 78 observations + 'Heated Neb', -- 37 observations + 'Ultrasonic Neb' -- 2 observations + ) then 1 + else 0 + end) as oxygentherapy + , max( + case + when itemid is null or value is null then 0 + -- extubated indicates ventilation event has ended + when itemid = 640 and value = 'Extubated' then 1 + when itemid = 640 and value = 'Self Extubation' then 1 + else 0 + end) + as extubated + , max( + case + when itemid is null or value is null then 0 + when itemid = 640 and value = 'Self Extubation' then 1 + else 0 + end) + as selfextubated +from chartevents ce +where ce.value is not null + -- exclude rows marked as error + and (ce.error != 1 or ce.error is null) + and itemid in + ( + -- the below are settings used to indicate ventilation + 720, 223849 -- vent mode + , 223848 -- vent type + , 445, 448, 449, 450, 1340, 1486, 1600, 224687 -- minute volume + , 639, 654, 681, 682, 683, 684,224685,224684,224686 -- tidal volume + , 218,436,535,444,224697,224695,224696,224746,224747 -- High/Low/Peak/Mean ("RespPressure") + , 221,1,1211,1655,2000,226873,224738,224419,224750,227187 -- Insp pressure + , 543 -- PlateauPressure + , 5865,5866,224707,224709,224705,224706 -- APRV pressure + , 60,437,505,506,686,220339,224700 -- PEEP + , 3459 -- high pressure relief + , 501,502,503,224702 -- PCV + , 223,667,668,669,670,671,672 -- TCPCV + , 224701 -- PSVlevel + + -- the below are settings used to indicate extubation + , 640 -- extubated + + -- the below indicate oxygen/NIV, i.e. the end of a mechanical vent event + , 468 -- O2 Delivery Device#2 + , 469 -- O2 Delivery Mode + , 470 -- O2 Flow (lpm) + , 471 -- O2 Flow (lpm) #2 + , 227287 -- O2 Flow (additional cannula) + , 226732 -- O2 Delivery Device(s) + , 223834 -- O2 Flow + + -- used in both oxygen + vent calculation + , 467 -- O2 Delivery Device + ) +group by icustay_id, charttime; \ No newline at end of file diff --git a/mimic-iii-carevue/code/concepts/03_ventilation_durations.sql b/mimic-iii-carevue/code/concepts/03_ventilation_durations.sql new file mode 100644 index 000000000..67108c1b9 --- /dev/null +++ b/mimic-iii-carevue/code/concepts/03_ventilation_durations.sql @@ -0,0 +1,99 @@ +drop table if exists ventilation_durations; create table ventilation_durations as +-- This query extracts the duration of mechanical ventilation +-- The main goal of the query is to aggregate sequential ventilator settings +-- into single mechanical ventilation "events". The start and end time of these +-- events can then be used for various purposes: calculating the total duration +-- of mechanical ventilation, cross-checking values (e.g. PaO2:FiO2 on vent), etc + +-- The query's logic is roughly: +-- 1) The presence of a mechanical ventilation setting starts a new ventilation event +-- 2) Any instance of a setting in the next 8 hours continues the event +-- 3) Certain elements end the current ventilation event +-- a) documented extubation ends the current ventilation +-- b) initiation of non-invasive vent and/or oxygen ends the current vent + +-- See the ventilation_classification.sql query for step 1 of the above. +-- This query has the logic for converting events into durations. +with vd0 as +( + select + icustay_id + -- this carries over the previous charttime which had a mechanical ventilation event + , case + when mechvent=1 then + lag(charttime, 1) over (partition by icustay_id, MechVent order by charttime) + else null + end as charttime_lag + , charttime + , mechvent + , oxygentherapy + , extubated + , selfextubated + from ventilation_classification +) +, vd1 as +( + select + icustay_id + , charttime_lag + , charttime + , mechvent + , oxygentherapy + , extubated + , selfextubated + + -- if this is a mechanical ventilation event, we calculate the time since the last event + , case + -- if the current observation indicates mechanical ventilation is present + -- calculate the time since the last vent event + when mechvent=1 then + round((cast(extract(epoch from (charttime - charttime_lag))/(60*60) as numeric)), 8) + else null + end as ventduration + + , lag(extubated,1) over (partition by icustay_id, case when mechvent=1 or extubated=1 then 1 else 0 end order by charttime) as extubatedlag + + -- now we determine if the current mech vent event is a "new", i.e. they've just been intubated + , case + -- if there is an extubation flag, we mark any subsequent ventilation as a new ventilation event + --when Extubated = 1 then 0 -- extubation is *not* a new ventilation event, the *subsequent* row is + when + lag(extubated,1) over (partition by icustay_id, case when mechvent=1 or extubated=1 then 1 else 0 end order by charttime)= 1 then 1 + -- if patient has initiated oxygen therapy, and is not currently vented, start a newvent + when mechvent = 0 and oxygentherapy = 1 then 1 + -- if there is less than 8 hours between vent settings, we do not treat this as a new ventilation event + when charttime > charttime_lag + interval '8 hour' then 1 + else 0 + end as newvent + -- use the staging table with only vent settings from chart events + from vd0 ventsettings +) +, vd2 as +( + select vd1.* + -- create a cumulative sum of the instances of new ventilation + -- this results in a monotonic integer assigned to each instance of ventilation + , case when mechvent=1 or extubated = 1 then + sum( newvent ) + over ( partition by icustay_id order by charttime ) + else null end as ventnum + --- now we convert charttime of ventilator settings into durations + from vd1 +) +-- create the durations for each mechanical ventilation instance +select + icustay_id + -- regenerate ventnum so it's sequential + , row_number() over (partition by icustay_id order by ventnum) as ventnum + , min(charttime) as starttime + , max(charttime) as endtime + , round((cast(extract(epoch from (max(charttime) - min(charttime)))/(60*60) as numeric)), 8) as duration_hours +from vd2 +group by icustay_id, vd2.ventnum +having min(charttime) != max(charttime) +-- patient had to be mechanically ventilated at least once +-- i.e. max(mechvent) should be 1 +-- this excludes a frequent situation of NIV/oxygen before intub +-- in these cases, ventnum=0 and max(mechvent)=0, so they are ignored +and max(mechvent) = 1 +order by icustay_id, ventnum; \ No newline at end of file diff --git a/mimic-iii-carevue/code/concepts/04_crrt_durations.sql b/mimic-iii-carevue/code/concepts/04_crrt_durations.sql new file mode 100644 index 000000000..02d4d0b39 --- /dev/null +++ b/mimic-iii-carevue/code/concepts/04_crrt_durations.sql @@ -0,0 +1,185 @@ +drop table if exists crrt_durations; create table crrt_durations as +with crrt_settings as +( + select + ce.icustay_id, ce.charttime + , max( + case + when ce.itemid in( + 224149, -- Access Pressure + 224144, -- Blood Flow (ml/min) + 228004, -- Citrate (ACD-A) + 225183, -- Current Goal + 225977, -- Dialysate Fluid + 224154, -- Dialysate Rate + 224151, -- Effluent Pressure + 224150, -- Filter Pressure + 225958, -- Heparin Concentration (units/mL) + 224145, -- Heparin Dose (per hour) + 224191, -- Hourly Patient Fluid Removal + 228005, -- PBP (Prefilter) Replacement Rate + 228006, -- Post Filter Replacement Rate + 225976, -- Replacement Fluid + 224153, -- Replacement Rate + 224152, -- Return Pressure + 226457 -- Ultrafiltrate Output + ) then 1 + when ce.itemid in( + 29, -- Access mmHg + 173, -- Effluent Press mmHg + 192, -- Filter Pressure mmHg + 624, -- Return Pressure mmHg + 79, -- Blood Flow ml/min + 142, -- Current Goal + 146, -- Dialysate Flow ml/hr + 611, -- Replace Rate ml/hr + 5683 -- Hourly PFR + ) then 1 + when ce.itemid = 665 and value in ('Active','Clot Increasing','Clots Present','No Clot Present') then 1 + when ce.itemid = 147 and value = 'Yes' then 1 + else 0 + end) as RRT + -- Below indicates that a new instance of CRRT has started + , max( + case + -- System Integrity + when ce.itemid = 224146 and value in ('New Filter','Reinitiated') then 1 + when ce.itemid = 665 and value in ('Initiated') then 1 + else 0 + end ) as rrt_start + -- Below indicates that the current instance of CRRT has ended + , max( + case + -- System Integrity + when ce.itemid = 224146 and value in ('Discontinued','Recirculating') then 1 + -- the only value like DC is "DC'D", use like to avoid apostrophe + when ce.itemid = 665 and (value = 'Clotted' or value like 'DC%') then 1 + -- Reason for CRRT filter change + when ce.itemid = 225956 then 1 + else 0 + end ) as rrt_end + from chartevents ce + where ce.itemid in( + -- MetaVision ITEMIDs + -- Below require special handling + 224146, -- System Integrity + 225956, -- Reason for CRRT Filter Change + -- Below are settings which indicate CRRT is started/continuing + 224149, -- Access Pressure + 224144, -- Blood Flow (ml/min) + 228004, -- Citrate (ACD-A) + 225183, -- Current Goal + 225977, -- Dialysate Fluid + 224154, -- Dialysate Rate + 224151, -- Effluent Pressure + 224150, -- Filter Pressure + 225958, -- Heparin Concentration (units/mL) + 224145, -- Heparin Dose (per hour) + 224191, -- Hourly Patient Fluid Removal + 228005, -- PBP (Prefilter) Replacement Rate + 228006, -- Post Filter Replacement Rate + 225976, -- Replacement Fluid + 224153, -- Replacement Rate + 224152, -- Return Pressure + 226457, -- Ultrafiltrate Output + -- CareVue ITEMIDs + -- Below require special handling + 665, -- System integrity + 147, -- Dialysate Infusing + 612, -- Replace.Fluid Infuse + -- Below are settings which indicate CRRT is started/continuing + 29, -- Access mmHg + 173, -- Effluent Press mmHg + 192, -- Filter Pressure mmHg + 624, -- Return Pressure mmHg + 142, -- Current Goal + 79, -- Blood Flow ml/min + 146, -- Dialysate Flow ml/hr + 611, -- Replace Rate ml/hr + 5683 -- Hourly PFR + ) + and ce.value is not null + and coalesce(ce.valuenum,1) != 0 -- non-zero rates/values + group by icustay_id, charttime +) +-- create various lagged variables for future query +, vd_lag as +( + select + icustay_id + -- this carries over the previous charttime + , lag(charttime, 1) over w as charttime_prev_row + , charttime + , rrt + , rrt_start + , rrt_end + , lag(rrt_end, 1) over w as rrt_ended_prev_row + from crrt_settings + window w as + ( + partition by icustay_id, case when rrt=1 or rrt_end=1 then 1 else 0 end + order by charttime + ) +) +, vd1 as +( + select + icustay_id + , charttime + , rrt + , rrt_start + , rrt_end + + -- now we determine if the current event is a new instantiation + , case + when rrt_start = 1 then 1 + -- if there is an end flag, we mark any subsequent event as new + when rrt_end = 1 + -- note the end is *not* a new event, the *subsequent* row is + -- so here we output 0 + then 0 + when rrt_ended_prev_row = 1 then 1 + -- if there is less than 2 hours between CRRT settings, we do not treat this as a new CRRT event + when round((cast(extract(epoch from (charttime - charttime_prev_row))/(60*60) as numeric)), 8) <= 2 then 0 + else 1 + end as newcrrt + -- use the temp table with only settings from chartevents + from vd_lag +) +, vd2 as +( + select + vd1.* + -- create a cumulative sum of the instances of new CRRT + -- this results in a monotonically increasing integer assigned to each CRRT + , case + when rrt_start = 1 or rrt=1 or rrt_end = 1 then sum(newcrrt) over (partition by icustay_id order by charttime) + else null + end as num + --- now we convert CHARTTIME of CRRT settings into durations + from vd1 + -- now we can isolate to just rows with settings + -- (before we had rows with start/end flags) + -- this removes any null values for NewCRRT + where + rrt_start = 1 or rrt = 1 or rrt_end = 1 +) +-- create the durations for each CRRT instance +, fin as +( + select icustay_id + , num + , min(charttime) as starttime + , max(charttime) as endtime + , round((cast(extract(epoch from (max(charttime) - min(charttime)))/(60*60) as numeric)), 8) as duration_hours + -- add durations + from vd2 + group by icustay_id, num + having min(charttime) != max(charttime) +) +select + icustay_id + , row_number() over (partition by icustay_id order by starttime) as num + , starttime, endtime, duration_hours +from fin +order by icustay_id, num; \ No newline at end of file diff --git a/mimic-iii-carevue/code/concepts/05_dobutamine_durations.sql b/mimic-iii-carevue/code/concepts/05_dobutamine_durations.sql new file mode 100644 index 000000000..ea501d945 --- /dev/null +++ b/mimic-iii-carevue/code/concepts/05_dobutamine_durations.sql @@ -0,0 +1,206 @@ +drop table if exists dobutamine_durations; create table dobutamine_durations as +-- This query extracts durations of dobutamine administration +-- Consecutive administrations are numbered 1, 2, ... +-- Total time on the drug can be calculated from this table by grouping using icustay_id + +-- Get drug administration data from CareVue first +with vasocv1 as +( + select + icustay_id, charttime + -- case statement determining whether the itemid is an instance of vasopressor usage + , max(case when itemid in (30042,30306) then 1 else 0 end) as vaso -- dobutamine + + -- the 'stopped' column indicates if a vasopressor has been disconnected + , max(case when itemid in (30042,30306) and (stopped = 'Stopped' or stopped like 'D/C%') then 1 + else 0 end) as vaso_stopped + + , max(case when itemid in (30042,30306) and rate is not null then 1 else 0 end) as vaso_null + , max(case when itemid in (30042,30306) then rate else null end) as vaso_rate + , max(case when itemid in (30042,30306) then amount else null end) as vaso_amount + + from inputevents_cv + where itemid in (30042,30306) -- dobutamine + group by icustay_id, charttime +) + +, vasocv2 as +( + select v.* + , sum(vaso_null) over (partition by icustay_id order by charttime) as vaso_partition + from + vasocv1 v +) + +, vasocv3 as +( + select v.* + , first_value(vaso_rate) over (partition by icustay_id, vaso_partition order by charttime) as vaso_prevrate_ifnull + from + vasocv2 v +) + +, vasocv4 as +( + select + icustay_id + , charttime + -- , (charttime - (lag(charttime, 1) over (partition by icustay_id, vaso order by charttime))) as delta + + , vaso + , vaso_rate + , vaso_amount + , vaso_stopped + , vaso_prevrate_ifnull + + -- We define start time here + , case + when vaso = 0 then null + + -- if this is the first instance of the vasoactive drug + when vaso_rate > 0 and + lag(vaso_prevrate_ifnull,1) + over + ( + partition by icustay_id, vaso, vaso_null + order by charttime + ) + is null + then 1 + + -- you often get a string of 0s + -- we decide not to set these as 1, just because it makes vasonum sequential + when vaso_rate = 0 and + lag(vaso_prevrate_ifnull,1) + over + ( + partition by icustay_id, vaso + order by charttime + ) + = 0 + then 0 + + -- sometimes you get a string of null, associated with 0 volumes + -- same reason as before, we decide not to set these as 1 + -- vaso_prevrate_ifnull is equal to the previous value *iff* the current value is null + when vaso_prevrate_ifnull = 0 and + lag(vaso_prevrate_ifnull,1) + over + ( + partition by icustay_id, vaso + order by charttime + ) + = 0 + then 0 + + -- If the last recorded rate was 0, newvaso = 1 + when lag(vaso_prevrate_ifnull,1) + over + ( + partition by icustay_id, vaso + order by charttime + ) = 0 + then 1 + + -- If the last recorded vaso was D/C'd, newvaso = 1 + when + lag(vaso_stopped,1) + over + ( + partition by icustay_id, vaso + order by charttime + ) + = 1 then 1 + + -- ** not sure if the below is needed + --when (charttime - (lag(charttime, 1) over (partition by icustay_id, vaso order by charttime))) > (interval '4 hours') then 1 + else null + end as vaso_start + from + vasocv3 +) +-- propagate start/stop flags forward in time + +, vasocv5 as +( + select v.* + , sum(vaso_start) over (partition by icustay_id, vaso order by charttime) as vaso_first + from + vasocv4 v +) + +, vasocv6 as +( + select v.* + -- We define end time here + , case + when vaso = 0 + then null + + -- If the recorded vaso was D/C'd, this is an end time + when vaso_stopped = 1 + then vaso_first + + -- If the rate is zero, this is the end time + when vaso_rate = 0 + then vaso_first + + -- the last row in the table is always a potential end time + -- this captures patients who die/are discharged while on vasopressors + -- in principle, this could add an extra end time for the vasopressor + -- however, since we later group on vaso_start, any extra end times are ignored + when lead(charttime,1) + over + ( + partition by icustay_id, vaso + order by charttime + ) is null + then vaso_first + + else null + end as vaso_stop + from vasocv5 v +) + +-- -- if you want to look at the results of the table before grouping: +-- select +-- icustay_id, charttime, vaso, vaso_rate, vaso_amount +-- , case when vaso_stopped = 1 then 'Y' else '' end as stopped +-- , vaso_start +-- , vaso_first +-- , vaso_stop +-- from vasocv6 order by charttime; + +, vasocv as +( + -- below groups together vasopressor administrations into groups + select + icustay_id + -- the first non-null rate is considered the starttime + , min(case when vaso_rate is not null then charttime else null end) as starttime + -- the *first* time the first/last flags agree is the stop time for this duration + , min(case when vaso_first = vaso_stop then charttime else null end) as endtime + from vasocv6 + where + vaso_first is not null -- bogus data + and + vaso_first != 0 -- sometimes *only* a rate of 0 appears, i.e. the drug is never actually delivered + and + icustay_id is not null -- there are data for "floating" admissions, we don't worry about these + group by icustay_id, vaso_first + having -- ensure start time is not the same as end time + min(charttime) != min(case when vaso_first = vaso_stop then charttime else null end) + and + max(vaso_rate) > 0 -- if the rate was always 0 or null, we consider it not a real drug delivery +) + +select + icustay_id + -- generate a sequential integer for convenience + , row_number() over (partition by icustay_id order by starttime) as vasonum + , starttime, endtime + , round((cast(extract(epoch from (endtime - starttime))/(60*60) as numeric)), 8) as duration_hours + -- add durations +from + vasocv +order by icustay_id, vasonum; \ No newline at end of file diff --git a/mimic-iii-carevue/code/concepts/06_dopamine_durations.sql b/mimic-iii-carevue/code/concepts/06_dopamine_durations.sql new file mode 100644 index 000000000..8c5625442 --- /dev/null +++ b/mimic-iii-carevue/code/concepts/06_dopamine_durations.sql @@ -0,0 +1,206 @@ +drop table if exists dopamine_durations; create table dopamine_durations as +-- This query extracts durations of dopamine administration +-- Consecutive administrations are numbered 1, 2, ... +-- Total time on the drug can be calculated from this table by grouping using icustay_id + +-- Get drug administration data from CareVue first +with vasocv1 as +( + select + icustay_id, charttime + -- case statement determining whether the ITEMID is an instance of vasopressor usage + , max(case when itemid in (30043,30307) then 1 else 0 end) as vaso -- dopamine + + -- the 'stopped' column indicates if a vasopressor has been disconnected + , max(case when itemid in (30043,30307) and (stopped = 'Stopped' or stopped like 'D/C%') then 1 + else 0 end) as vaso_stopped + + , max(case when itemid in (30043,30307) and rate is not null then 1 else 0 end) as vaso_null + , max(case when itemid in (30043,30307) then rate else null end) as vaso_rate + , max(case when itemid in (30043,30307) then amount else null end) as vaso_amount + + from inputevents_cv + where itemid in (30043,30307) -- dopamine + group by icustay_id, charttime +) + +, vasocv2 as +( + select v.* + , sum(vaso_null) over (partition by icustay_id order by charttime) as vaso_partition + from + vasocv1 v +) + +, vasocv3 as +( + select v.* + , first_value(vaso_rate) over (partition by icustay_id, vaso_partition order by charttime) as vaso_prevrate_ifnull + from + vasocv2 v +) + +, vasocv4 as +( + select + icustay_id + , charttime + -- , (charttime - (lag(charttime, 1) over (partition by icustay_id, vaso order by charttime))) as delta + + , vaso + , vaso_rate + , vaso_amount + , vaso_stopped + , vaso_prevrate_ifnull + + -- We define start time here + , case + when vaso = 0 then null + + -- if this is the first instance of the vasoactive drug + when vaso_rate > 0 and + lag(vaso_prevrate_ifnull,1) + over + ( + partition by icustay_id, vaso, vaso_null + order by charttime + ) + is null + then 1 + + -- you often get a string of 0s + -- we decide not to set these as 1, just because it makes vasonum sequential + when vaso_rate = 0 and + lag(vaso_prevrate_ifnull,1) + over + ( + partition by icustay_id, vaso + order by charttime + ) + = 0 + then 0 + + -- sometimes you get a string of null, associated with 0 volumes + -- same reason as before, we decide not to set these as 1 + -- vaso_prevrate_ifnull is equal to the previous value *iff* the current value is null + when vaso_prevrate_ifnull = 0 and + lag(vaso_prevrate_ifnull,1) + over + ( + partition by icustay_id, vaso + order by charttime + ) + = 0 + then 0 + + -- If the last recorded rate was 0, newvaso = 1 + when lag(vaso_prevrate_ifnull,1) + over + ( + partition by icustay_id, vaso + order by charttime + ) = 0 + then 1 + + -- If the last recorded vaso was D/C'd, newvaso = 1 + when + lag(vaso_stopped,1) + over + ( + partition by icustay_id, vaso + order by charttime + ) + = 1 then 1 + + -- ** not sure if the below is needed + --when (charttime - (lag(charttime, 1) over (partition by icustay_id, vaso order by charttime))) > (interval '4 hours') then 1 + else null + end as vaso_start + from + vasocv3 +) +-- propagate start/stop flags forward in time + +, vasocv5 as +( + select v.* + , sum(vaso_start) over (partition by icustay_id, vaso order by charttime) as vaso_first + from + vasocv4 v +) + +, vasocv6 as +( + select v.* + -- We define end time here + , case + when vaso = 0 + then null + + -- If the recorded vaso was D/C'd, this is an end time + when vaso_stopped = 1 + then vaso_first + + -- If the rate is zero, this is the end time + when vaso_rate = 0 + then vaso_first + + -- the last row in the table is always a potential end time + -- this captures patients who die/are discharged while on vasopressors + -- in principle, this could add an extra end time for the vasopressor + -- however, since we later group on vaso_start, any extra end times are ignored + when lead(charttime,1) + over + ( + partition by icustay_id, vaso + order by charttime + ) is null + then vaso_first + + else null + end as vaso_stop + from vasocv5 v +) + +-- -- if you want to look at the results of the table before grouping: +-- select +-- icustay_id, charttime, vaso, vaso_rate, vaso_amount +-- , case when vaso_stopped = 1 then 'Y' else '' end as stopped +-- , vaso_start +-- , vaso_first +-- , vaso_stop +-- from vasocv6 order by charttime; + +, vasocv as +( + -- below groups together vasopressor administrations into groups + select + icustay_id + -- the first non-null rate is considered the starttime + , min(case when vaso_rate is not null then charttime else null end) as starttime + -- the *first* time the first/last flags agree is the stop time for this duration + , min(case when vaso_first = vaso_stop then charttime else null end) as endtime + from vasocv6 + where + vaso_first is not null -- bogus data + and + vaso_first != 0 -- sometimes *only* a rate of 0 appears, i.e. the drug is never actually delivered + and + icustay_id is not null -- there are data for "floating" admissions, we don't worry about these + group by icustay_id, vaso_first + having -- ensure start time is not the same as end time + min(charttime) != min(case when vaso_first = vaso_stop then charttime else null end) + and + max(vaso_rate) > 0 -- if the rate was always 0 or null, we consider it not a real drug delivery +) + +select + icustay_id + -- generate a sequential integer for convenience + , row_number() over (partition by icustay_id order by starttime) as vasonum + , starttime, endtime + , round((cast(extract(epoch from (endtime - starttime))/(60*60) as numeric)), 8) as duration_hours + -- add durations +from + vasocv +order by icustay_id, vasonum; \ No newline at end of file diff --git a/mimic-iii-carevue/code/concepts/07_epinephrine_durations.sql b/mimic-iii-carevue/code/concepts/07_epinephrine_durations.sql new file mode 100644 index 000000000..f2f787d57 --- /dev/null +++ b/mimic-iii-carevue/code/concepts/07_epinephrine_durations.sql @@ -0,0 +1,206 @@ +drop table if exists epinephrine_durations; create table epinephrine_durations as +-- This query extracts durations of epinephrine administration +-- Consecutive administrations are numbered 1, 2, ... +-- Total time on the drug can be calculated from this table by grouping using icustay_id + +-- Get drug administration data from CareVue first +with vasocv1 as +( + select + icustay_id, charttime + -- case statement determining whether the ITEMID is an instance of vasopressor usage + , max(case when itemid in (30044,30119,30309) then 1 else 0 end) as vaso -- epinephrine + + -- the 'stopped' column indicates if a vasopressor has been disconnected + , max(case when itemid in (30044,30119,30309) and (stopped = 'Stopped' or stopped like 'D/C%') then 1 + else 0 end) as vaso_stopped + + , max(case when itemid in (30044,30119,30309) and rate is not null then 1 else 0 end) as vaso_null + , max(case when itemid in (30044,30119,30309) then rate else null end) as vaso_rate + , max(case when itemid in (30044,30119,30309) then amount else null end) as vaso_amount + + from inputevents_cv + where itemid in (30044,30119,30309) -- epinephrine + group by icustay_id, charttime +) + +, vasocv2 as +( + select v.* + , sum(vaso_null) over (partition by icustay_id order by charttime) as vaso_partition + from + vasocv1 v +) + +, vasocv3 as +( + select v.* + , first_value(vaso_rate) over (partition by icustay_id, vaso_partition order by charttime) as vaso_prevrate_ifnull + from + vasocv2 v +) + +, vasocv4 as +( + select + icustay_id + , charttime + -- , (charttime - (lag(charttime, 1) over (partition by icustay_id, vaso order by charttime))) as delta + + , vaso + , vaso_rate + , vaso_amount + , vaso_stopped + , vaso_prevrate_ifnull + + -- We define start time here + , case + when vaso = 0 then null + + -- if this is the first instance of the vasoactive drug + when vaso_rate > 0 and + lag(vaso_prevrate_ifnull,1) + over + ( + partition by icustay_id, vaso, vaso_null + order by charttime + ) + is null + then 1 + + -- you often get a string of 0s + -- we decide not to set these as 1, just because it makes vasonum sequential + when vaso_rate = 0 and + lag(vaso_prevrate_ifnull,1) + over + ( + partition by icustay_id, vaso + order by charttime + ) + = 0 + then 0 + + -- sometimes you get a string of null, associated with 0 volumes + -- same reason as before, we decide not to set these as 1 + -- vaso_prevrate_ifnull is equal to the previous value *iff* the current value is null + when vaso_prevrate_ifnull = 0 and + lag(vaso_prevrate_ifnull,1) + over + ( + partition by icustay_id, vaso + order by charttime + ) + = 0 + then 0 + + -- If the last recorded rate was 0, newvaso = 1 + when lag(vaso_prevrate_ifnull,1) + over + ( + partition by icustay_id, vaso + order by charttime + ) = 0 + then 1 + + -- If the last recorded vaso was D/C'd, newvaso = 1 + when + lag(vaso_stopped,1) + over + ( + partition by icustay_id, vaso + order by charttime + ) + = 1 then 1 + + -- ** not sure if the below is needed + --when (charttime - (lag(charttime, 1) over (partition by icustay_id, vaso order by charttime))) > (interval '4 hours') then 1 + else null + end as vaso_start + from + vasocv3 +) +-- propagate start/stop flags forward in time + +, vasocv5 as +( + select v.* + , sum(vaso_start) over (partition by icustay_id, vaso order by charttime) as vaso_first + from + vasocv4 v +) + +, vasocv6 as +( + select v.* + -- We define end time here + , case + when vaso = 0 + then null + + -- If the recorded vaso was D/C'd, this is an end time + when vaso_stopped = 1 + then vaso_first + + -- If the rate is zero, this is the end time + when vaso_rate = 0 + then vaso_first + + -- the last row in the table is always a potential end time + -- this captures patients who die/are discharged while on vasopressors + -- in principle, this could add an extra end time for the vasopressor + -- however, since we later group on vaso_start, any extra end times are ignored + when lead(charttime,1) + over + ( + partition by icustay_id, vaso + order by charttime + ) is null + then vaso_first + + else null + end as vaso_stop + from vasocv5 v +) + +-- -- if you want to look at the results of the table before grouping: +-- select +-- icustay_id, charttime, vaso, vaso_rate, vaso_amount +-- , case when vaso_stopped = 1 then 'Y' else '' end as stopped +-- , vaso_start +-- , vaso_first +-- , vaso_stop +-- from vasocv6 order by charttime; + +, vasocv as +( + -- below groups together vasopressor administrations into groups + select + icustay_id + -- the first non-null rate is considered the starttime + , min(case when vaso_rate is not null then charttime else null end) as starttime + -- the *first* time the first/last flags agree is the stop time for this duration + , min(case when vaso_first = vaso_stop then charttime else null end) as endtime + from vasocv6 + where + vaso_first is not null -- bogus data + and + vaso_first != 0 -- sometimes *only* a rate of 0 appears, i.e. the drug is never actually delivered + and + icustay_id is not null -- there are data for "floating" admissions, we don't worry about these + group by icustay_id, vaso_first + having -- ensure start time is not the same as end time + min(charttime) != min(case when vaso_first = vaso_stop then charttime else null end) + and + max(vaso_rate) > 0 -- if the rate was always 0 or null, we consider it not a real drug delivery +) + +select + icustay_id + -- generate a sequential integer for convenience + , row_number() over (partition by icustay_id order by starttime) as vasonum + , starttime, endtime + , round((cast(extract(epoch from (endtime - starttime))/(60*60) as numeric)), 8) as duration_hours + -- add durations +from + vasocv +order by icustay_id, vasonum; \ No newline at end of file diff --git a/mimic-iii-carevue/code/concepts/08_isuprel_durations.sql b/mimic-iii-carevue/code/concepts/08_isuprel_durations.sql new file mode 100644 index 000000000..4f1339363 --- /dev/null +++ b/mimic-iii-carevue/code/concepts/08_isuprel_durations.sql @@ -0,0 +1,206 @@ +drop table if exists isuprel_durations; create table isuprel_durations as +-- This query extracts durations of isuprel administration +-- Consecutive administrations are numbered 1, 2, ... +-- Total time on the drug can be calculated from this table by grouping using icustay_id + +-- Get drug administration data from CareVue first +with vasocv1 as +( + select + icustay_id, charttime + -- case statement determining whether the itemid is an instance of vasopressor usage + , max(case when itemid = 30046 then 1 else 0 end) as vaso -- Isuprel + + -- the 'stopped' column indicates if a vasopressor has been disconnected + , max(case when itemid = 30046 and (stopped = 'Stopped' or stopped like 'D/C%') then 1 + else 0 end) as vaso_stopped + + , max(case when itemid = 30046 and rate is not null then 1 else 0 end) as vaso_null + , max(case when itemid = 30046 then rate else null end) as vaso_rate + , max(case when itemid = 30046 then amount else null end) as vaso_amount + + from inputevents_cv + where itemid = 30046 -- isuprel + group by icustay_id, charttime +) + +, vasocv2 as +( + select v.* + , sum(vaso_null) over (partition by icustay_id order by charttime) as vaso_partition + from + vasocv1 v +) + +, vasocv3 as +( + select v.* + , first_value(vaso_rate) over (partition by icustay_id, vaso_partition order by charttime) as vaso_prevrate_ifnull + from + vasocv2 v +) + +, vasocv4 as +( + select + icustay_id + , charttime + -- , (charttime - (lag(charttime, 1) over (partition by icustay_id, vaso order by charttime))) as delta + + , vaso + , vaso_rate + , vaso_amount + , vaso_stopped + , vaso_prevrate_ifnull + + -- We define start time here + , case + when vaso = 0 then null + + -- if this is the first instance of the vasoactive drug + when vaso_rate > 0 and + lag(vaso_prevrate_ifnull,1) + over + ( + partition by icustay_id, vaso, vaso_null + order by charttime + ) + is null + then 1 + + -- you often get a string of 0s + -- we decide not to set these as 1, just because it makes vasonum sequential + when vaso_rate = 0 and + lag(vaso_prevrate_ifnull,1) + over + ( + partition by icustay_id, vaso + order by charttime + ) + = 0 + then 0 + + -- sometimes you get a string of null, associated with 0 volumes + -- same reason as before, we decide not to set these as 1 + -- vaso_prevrate_ifnull is equal to the previous value *iff* the current value is null + when vaso_prevrate_ifnull = 0 and + lag(vaso_prevrate_ifnull,1) + over + ( + partition by icustay_id, vaso + order by charttime + ) + = 0 + then 0 + + -- If the last recorded rate was 0, newvaso = 1 + when lag(vaso_prevrate_ifnull,1) + over + ( + partition by icustay_id, vaso + order by charttime + ) = 0 + then 1 + + -- If the last recorded vaso was D/C'd, newvaso = 1 + when + lag(vaso_stopped,1) + over + ( + partition by icustay_id, vaso + order by charttime + ) + = 1 then 1 + + -- ** not sure if the below is needed + --when (charttime - (lag(charttime, 1) over (partition by icustay_id, vaso order by charttime))) > (interval '4 hours') then 1 + else null + end as vaso_start + from + vasocv3 +) +-- propagate start/stop flags forward in time + +, vasocv5 as +( + select v.* + , sum(vaso_start) over (partition by icustay_id, vaso order by charttime) as vaso_first + from + vasocv4 v +) + +, vasocv6 as +( + select v.* + -- We define end time here + , case + when vaso = 0 + then null + + -- If the recorded vaso was D/C'd, this is an end time + when vaso_stopped = 1 + then vaso_first + + -- If the rate is zero, this is the end time + when vaso_rate = 0 + then vaso_first + + -- the last row in the table is always a potential end time + -- this captures patients who die/are discharged while on vasopressors + -- in principle, this could add an extra end time for the vasopressor + -- however, since we later group on vaso_start, any extra end times are ignored + when lead(charttime,1) + over + ( + partition by icustay_id, vaso + order by charttime + ) is null + then vaso_first + + else null + end as vaso_stop + from vasocv5 v +) + +-- -- if you want to look at the results of the table before grouping: +-- select +-- icustay_id, charttime, vaso, vaso_rate, vaso_amount +-- , case when vaso_stopped = 1 then 'Y' else '' end as stopped +-- , vaso_start +-- , vaso_first +-- , vaso_stop +-- from vasocv6 order by charttime; + +, vasocv as +( + -- below groups together vasopressor administrations into groups + select + icustay_id + -- the first non-null rate is considered the starttime + , min(case when vaso_rate is not null then charttime else null end) as starttime + -- the *first* time the first/last flags agree is the stop time for this duration + , min(case when vaso_first = vaso_stop then charttime else null end) as endtime + from vasocv6 + where + vaso_first is not null -- bogus data + and + vaso_first != 0 -- sometimes *only* a rate of 0 appears, i.e. the drug is never actually delivered + and + icustay_id is not null -- there are data for "floating" admissions, we don't worry about these + group by icustay_id, vaso_first + having -- ensure start time is not the same as end time + min(charttime) != min(case when vaso_first = vaso_stop then charttime else null end) + and + max(vaso_rate) > 0 -- if the rate was always 0 or null, we consider it not a real drug delivery +) + +select + icustay_id + -- generate a sequential integer for convenience + , row_number() over (partition by icustay_id order by starttime) as vasonum + , starttime, endtime + , round((cast(extract(epoch from (endtime - starttime))/(60*60) as numeric)), 8) as duration_hours + -- add durations +from + vasocv +order by icustay_id, vasonum; \ No newline at end of file diff --git a/mimic-iii-carevue/code/concepts/09_milrinone_durations.sql b/mimic-iii-carevue/code/concepts/09_milrinone_durations.sql new file mode 100644 index 000000000..d7d2865af --- /dev/null +++ b/mimic-iii-carevue/code/concepts/09_milrinone_durations.sql @@ -0,0 +1,206 @@ +drop table if exists milrinone_durations; create table milrinone_durations as +-- This query extracts durations of milrinone administration +-- Consecutive administrations are numbered 1, 2, ... +-- Total time on the drug can be calculated from this table by grouping using icustay_id + +-- Get drug administration data from CareVue first +with vasocv1 as +( + select + icustay_id, charttime + -- case statement determining whether the itemid is an instance of vasopressor usage + , max(case when itemid = 30125 then 1 else 0 end) as vaso -- milrinone + + -- the 'stopped' column indicates if a vasopressor has been disconnected + , max(case when itemid = 30125 and (stopped = 'Stopped' or stopped like 'D/C%') then 1 + else 0 end) as vaso_stopped + + , max(case when itemid = 30125 and rate is not null then 1 else 0 end) as vaso_null + , max(case when itemid = 30125 then rate else null end) as vaso_rate + , max(case when itemid = 30125 then amount else null end) as vaso_amount + + from inputevents_cv + where itemid = 30125 -- milrinone + group by icustay_id, charttime +) + +, vasocv2 as +( + select v.* + , sum(vaso_null) over (partition by icustay_id order by charttime) as vaso_partition + from + vasocv1 v +) + +, vasocv3 as +( + select v.* + , first_value(vaso_rate) over (partition by icustay_id, vaso_partition order by charttime) as vaso_prevrate_ifnull + from + vasocv2 v +) + +, vasocv4 as +( + select + icustay_id + , charttime + -- , (charttime - (lag(charttime, 1) over (partition by icustay_id, vaso order by charttime))) as delta + + , vaso + , vaso_rate + , vaso_amount + , vaso_stopped + , vaso_prevrate_ifnull + + -- We define start time here + , case + when vaso = 0 then null + + -- if this is the first instance of the vasoactive drug + when vaso_rate > 0 and + lag(vaso_prevrate_ifnull,1) + over + ( + partition by icustay_id, vaso, vaso_null + order by charttime + ) + is null + then 1 + + -- you often get a string of 0s + -- we decide not to set these as 1, just because it makes vasonum sequential + when vaso_rate = 0 and + lag(vaso_prevrate_ifnull,1) + over + ( + partition by icustay_id, vaso + order by charttime + ) + = 0 + then 0 + + -- sometimes you get a string of null, associated with 0 volumes + -- same reason as before, we decide not to set these as 1 + -- vaso_prevrate_ifnull is equal to the previous value *iff* the current value is null + when vaso_prevrate_ifnull = 0 and + lag(vaso_prevrate_ifnull,1) + over + ( + partition by icustay_id, vaso + order by charttime + ) + = 0 + then 0 + + -- If the last recorded rate was 0, newvaso = 1 + when lag(vaso_prevrate_ifnull,1) + over + ( + partition by icustay_id, vaso + order by charttime + ) = 0 + then 1 + + -- If the last recorded vaso was D/C'd, newvaso = 1 + when + lag(vaso_stopped,1) + over + ( + partition by icustay_id, vaso + order by charttime + ) + = 1 then 1 + + -- ** not sure if the below is needed + --when (charttime - (lag(charttime, 1) over (partition by icustay_id, vaso order by charttime))) > (interval '4 hours') then 1 + else null + end as vaso_start + from + vasocv3 +) +-- propagate start/stop flags forward in time + +, vasocv5 as +( + select v.* + , sum(vaso_start) over (partition by icustay_id, vaso order by charttime) as vaso_first + from + vasocv4 v +) + +, vasocv6 as +( + select v.* + -- We define end time here + , case + when vaso = 0 + then null + + -- If the recorded vaso was D/C'd, this is an end time + when vaso_stopped = 1 + then vaso_first + + -- If the rate is zero, this is the end time + when vaso_rate = 0 + then vaso_first + + -- the last row in the table is always a potential end time + -- this captures patients who die/are discharged while on vasopressors + -- in principle, this could add an extra end time for the vasopressor + -- however, since we later group on vaso_start, any extra end times are ignored + when lead(charttime,1) + over + ( + partition by icustay_id, vaso + order by charttime + ) is null + then vaso_first + + else null + end as vaso_stop + from vasocv5 v +) + +-- -- if you want to look at the results of the table before grouping: +-- select +-- icustay_id, charttime, vaso, vaso_rate, vaso_amount +-- , case when vaso_stopped = 1 then 'Y' else '' end as stopped +-- , vaso_start +-- , vaso_first +-- , vaso_stop +-- from vasocv6 order by charttime; + +, vasocv as +( + -- below groups together vasopressor administrations into groups + select + icustay_id + -- the first non-null rate is considered the starttime + , min(case when vaso_rate is not null then charttime else null end) as starttime + -- the *first* time the first/last flags agree is the stop time for this duration + , min(case when vaso_first = vaso_stop then charttime else null end) as endtime + from vasocv6 + where + vaso_first is not null -- bogus data + and + vaso_first != 0 -- sometimes *only* a rate of 0 appears, i.e. the drug is never actually delivered + and + icustay_id is not null -- there are data for "floating" admissions, we don't worry about these + group by icustay_id, vaso_first + having -- ensure start time is not the same as end time + min(charttime) != min(case when vaso_first = vaso_stop then charttime else null end) + and + max(vaso_rate) > 0 -- if the rate was always 0 or null, we consider it not a real drug delivery +) + +select + icustay_id + -- generate a sequential integer for convenience + , row_number() over (partition by icustay_id order by starttime) as vasonum + , starttime, endtime + , round((cast(extract(epoch from (endtime - starttime))/(60*60) as numeric)), 8) as duration_hours + -- add durations +from + vasocv +order by icustay_id, vasonum; \ No newline at end of file diff --git a/mimic-iii-carevue/code/concepts/10_norepinephrine_durations.sql b/mimic-iii-carevue/code/concepts/10_norepinephrine_durations.sql new file mode 100644 index 000000000..d3c4b3ffa --- /dev/null +++ b/mimic-iii-carevue/code/concepts/10_norepinephrine_durations.sql @@ -0,0 +1,206 @@ +drop table if exists norepinephrine_durations; create table norepinephrine_durations as +-- This query extracts durations of norepinephrine administration +-- Consecutive administrations are numbered 1, 2, ... +-- Total time on the drug can be calculated from this table by grouping using icustay_id + +-- Get drug administration data from CareVue first +with vasocv1 as +( + select + icustay_id, charttime + -- case statement determining whether the itemid is an instance of vasopressor usage + , max(case when itemid in (30047,30120) then 1 else 0 end) as vaso -- norepinephrine + + -- the 'stopped' column indicates if a vasopressor has been disconnected + , max(case when itemid in (30047,30120) and (stopped = 'Stopped' or stopped like 'D/C%') then 1 + else 0 end) as vaso_stopped + + , max(case when itemid in (30047,30120) and rate is not null then 1 else 0 end) as vaso_null + , max(case when itemid in (30047,30120) then rate else null end) as vaso_rate + , max(case when itemid in (30047,30120) then amount else null end) as vaso_amount + + from inputevents_cv + where itemid in (30047,30120) -- norepinephrine + group by icustay_id, charttime +) + +, vasocv2 as +( + select v.* + , sum(vaso_null) over (partition by icustay_id order by charttime) as vaso_partition + from + vasocv1 v +) + +, vasocv3 as +( + select v.* + , first_value(vaso_rate) over (partition by icustay_id, vaso_partition order by charttime) as vaso_prevrate_ifnull + from + vasocv2 v +) + +, vasocv4 as +( + select + icustay_id + , charttime + -- , (charttime - (lag(charttime, 1) over (partition by icustay_id, vaso order by charttime))) as delta + + , vaso + , vaso_rate + , vaso_amount + , vaso_stopped + , vaso_prevrate_ifnull + + -- We define start time here + , case + when vaso = 0 then null + + -- if this is the first instance of the vasoactive drug + when vaso_rate > 0 and + lag(vaso_prevrate_ifnull,1) + over + ( + partition by icustay_id, vaso, vaso_null + order by charttime + ) + is null + then 1 + + -- you often get a string of 0s + -- we decide not to set these as 1, just because it makes vasonum sequential + when vaso_rate = 0 and + lag(vaso_prevrate_ifnull,1) + over + ( + partition by icustay_id, vaso + order by charttime + ) + = 0 + then 0 + + -- sometimes you get a string of null, associated with 0 volumes + -- same reason as before, we decide not to set these as 1 + -- vaso_prevrate_ifnull is equal to the previous value *iff* the current value is null + when vaso_prevrate_ifnull = 0 and + lag(vaso_prevrate_ifnull,1) + over + ( + partition by icustay_id, vaso + order by charttime + ) + = 0 + then 0 + + -- If the last recorded rate was 0, newvaso = 1 + when lag(vaso_prevrate_ifnull,1) + over + ( + partition by icustay_id, vaso + order by charttime + ) = 0 + then 1 + + -- If the last recorded vaso was D/C'd, newvaso = 1 + when + lag(vaso_stopped,1) + over + ( + partition by icustay_id, vaso + order by charttime + ) + = 1 then 1 + + -- ** not sure if the below is needed + --when (charttime - (lag(charttime, 1) over (partition by icustay_id, vaso order by charttime))) > (interval '4 hours') then 1 + else null + end as vaso_start + from + vasocv3 +) +-- propagate start/stop flags forward in time + +, vasocv5 as +( + select v.* + , sum(vaso_start) over (partition by icustay_id, vaso order by charttime) as vaso_first + from + vasocv4 v +) + +, vasocv6 as +( + select v.* + -- We define end time here + , case + when vaso = 0 + then null + + -- If the recorded vaso was D/C'd, this is an end time + when vaso_stopped = 1 + then vaso_first + + -- If the rate is zero, this is the end time + when vaso_rate = 0 + then vaso_first + + -- the last row in the table is always a potential end time + -- this captures patients who die/are discharged while on vasopressors + -- in principle, this could add an extra end time for the vasopressor + -- however, since we later group on vaso_start, any extra end times are ignored + when lead(charttime,1) + over + ( + partition by icustay_id, vaso + order by charttime + ) is null + then vaso_first + + else null + end as vaso_stop + from vasocv5 v +) + +-- -- if you want to look at the results of the carevue data before grouping: +-- select +-- icustay_id, charttime, vaso, vaso_rate, vaso_amount +-- , case when vaso_stopped = 1 then 'Y' else '' end as stopped +-- , vaso_start +-- , vaso_first +-- , vaso_stop +-- from vasocv6 order by charttime; + +, vasocv as +( + -- below groups together vasopressor administrations into groups + select + icustay_id + -- the first non-null rate is considered the starttime + , min(case when vaso_rate is not null then charttime else null end) as starttime + -- the *first* time the first/last flags agree is the stop time for this duration + , min(case when vaso_first = vaso_stop then charttime else null end) as endtime + from vasocv6 + where + vaso_first is not null -- bogus data + and + vaso_first != 0 -- sometimes *only* a rate of 0 appears, i.e. the drug is never actually delivered + and + icustay_id is not null -- there are data for "floating" admissions, we don't worry about these + group by icustay_id, vaso_first + having -- ensure start time is not the same as end time + min(charttime) != min(case when vaso_first = vaso_stop then charttime else null end) + and + max(vaso_rate) > 0 -- if the rate was always 0 or null, we consider it not a real drug delivery +) + +select + icustay_id + -- generate a sequential integer for convenience + , row_number() over (partition by icustay_id order by starttime) as vasonum + , starttime, endtime + , round((cast(extract(epoch from (endtime - starttime))/(60*60) as numeric)), 8) as duration_hours + -- add durations +from + vasocv +order by icustay_id, vasonum; \ No newline at end of file diff --git a/mimic-iii-carevue/code/concepts/11_phenylephrine_durations.sql b/mimic-iii-carevue/code/concepts/11_phenylephrine_durations.sql new file mode 100644 index 000000000..95d32c859 --- /dev/null +++ b/mimic-iii-carevue/code/concepts/11_phenylephrine_durations.sql @@ -0,0 +1,206 @@ +drop table if exists phenylephrine_durations; create table phenylephrine_durations as +-- This query extracts durations of phenylephrine administration +-- Consecutive administrations are numbered 1, 2, ... +-- Total time on the drug can be calculated from this table by grouping using icustay_id + +-- Get drug administration data from CareVue first +with vasocv1 as +( + select + icustay_id, charttime + -- case statement determining whether the itemid is an instance of vasopressor usage + , max(case when itemid in (30127,30128) then 1 else 0 end) as vaso -- phenylephrine + + -- the 'stopped' column indicates if a vasopressor has been disconnected + , max(case when itemid in (30127,30128) and (stopped = 'Stopped' or stopped like 'D/C%') then 1 + else 0 end) as vaso_stopped + + , max(case when itemid in (30127,30128) and rate is not null then 1 else 0 end) as vaso_null + , max(case when itemid in (30127,30128) then rate else null end) as vaso_rate + , max(case when itemid in (30127,30128) then amount else null end) as vaso_amount + + from inputevents_cv + where itemid in (30127,30128) -- phenylephrine + group by icustay_id, charttime +) + +, vasocv2 as +( + select v.* + , sum(vaso_null) over (partition by icustay_id order by charttime) as vaso_partition + from + vasocv1 v +) + +, vasocv3 as +( + select v.* + , first_value(vaso_rate) over (partition by icustay_id, vaso_partition order by charttime) as vaso_prevrate_ifnull + from + vasocv2 v +) + +, vasocv4 as +( + select + icustay_id + , charttime + -- , (charttime - (lag(charttime, 1) over (partition by icustay_id, vaso order by charttime))) as delta + + , vaso + , vaso_rate + , vaso_amount + , vaso_stopped + , vaso_prevrate_ifnull + + -- We define start time here + , case + when vaso = 0 then null + + -- if this is the first instance of the vasoactive drug + when vaso_rate > 0 and + lag(vaso_prevrate_ifnull,1) + over + ( + partition by icustay_id, vaso, vaso_null + order by charttime + ) + is null + then 1 + + -- you often get a string of 0s + -- we decide not to set these as 1, just because it makes vasonum sequential + when vaso_rate = 0 and + lag(vaso_prevrate_ifnull,1) + over + ( + partition by icustay_id, vaso + order by charttime + ) + = 0 + then 0 + + -- sometimes you get a string of NULL, associated with 0 volumes + -- same reason as before, we decide not to set these as 1 + -- vaso_prevrate_ifnull is equal to the previous value *iff* the current value is null + when vaso_prevrate_ifnull = 0 and + lag(vaso_prevrate_ifnull,1) + over + ( + partition by icustay_id, vaso + order by charttime + ) + = 0 + then 0 + + -- If the last recorded rate was 0, newvaso = 1 + when lag(vaso_prevrate_ifnull,1) + over + ( + partition by icustay_id, vaso + order by charttime + ) = 0 + then 1 + + -- If the last recorded vaso was D/C'd, newvaso = 1 + when + lag(vaso_stopped,1) + over + ( + partition by icustay_id, vaso + order by charttime + ) + = 1 then 1 + + -- ** not sure if the below is needed + --when (charttime - (lag(charttime, 1) over (partition by icustay_id, vaso order by charttime))) > (interval '4 hours') then 1 + else null + end as vaso_start + from + vasocv3 +) +-- propagate start/stop flags forward in time + +, vasocv5 as +( + select v.* + , sum(vaso_start) over (partition by icustay_id, vaso order by charttime) as vaso_first + from + vasocv4 v +) + +, vasocv6 as +( + select v.* + -- We define end time here + , case + when vaso = 0 + then null + + -- If the recorded vaso was D/C'd, this is an end time + when vaso_stopped = 1 + then vaso_first + + -- If the rate is zero, this is the end time + when vaso_rate = 0 + then vaso_first + + -- the last row in the table is always a potential end time + -- this captures patients who die/are discharged while on vasopressors + -- in principle, this could add an extra end time for the vasopressor + -- however, since we later group on vaso_start, any extra end times are ignored + when lead(charttime,1) + over + ( + partition by icustay_id, vaso + order by charttime + ) is null + then vaso_first + + else null + end as vaso_stop + from vasocv5 v +) + +-- -- if you want to look at the results of the table before grouping: +-- select +-- icustay_id, charttime, vaso, vaso_rate, vaso_amount +-- , case when vaso_stopped = 1 then 'Y' else '' end as stopped +-- , vaso_start +-- , vaso_first +-- , vaso_stop +-- from vasocv6 order by charttime; + +, vasocv as +( + -- below groups together vasopressor administrations into groups + select + icustay_id + -- the first non-null rate is considered the starttime + , min(case when vaso_rate is not null then charttime else null end) as starttime + -- the *first* time the first/last flags agree is the stop time for this duration + , min(case when vaso_first = vaso_stop then charttime else null end) as endtime + from vasocv6 + where + vaso_first is not null -- bogus data + and + vaso_first != 0 -- sometimes *only* a rate of 0 appears, i.e. the drug is never actually delivered + and + icustay_id is not null -- there are data for "floating" admissions, we don't worry about these + group by icustay_id, vaso_first + having -- ensure start time is not the same as end time + min(charttime) != min(case when vaso_first = vaso_stop then charttime else null end) + and + max(vaso_rate) > 0 -- if the rate was always 0 or null, we consider it not a real drug delivery +) + +select + icustay_id + -- generate a sequential integer for convenience + , row_number() over (partition by icustay_id order by starttime) as vasonum + , starttime, endtime + , round((cast(extract(epoch from (endtime - starttime))/(60*60) as numeric)), 8) as duration_hours + -- add durations +from + vasocv +order by icustay_id, vasonum; \ No newline at end of file diff --git a/mimic-iii-carevue/code/concepts/12_vasopressin_durations.sql b/mimic-iii-carevue/code/concepts/12_vasopressin_durations.sql new file mode 100644 index 000000000..3b81ee27e --- /dev/null +++ b/mimic-iii-carevue/code/concepts/12_vasopressin_durations.sql @@ -0,0 +1,206 @@ +drop table if exists vasopressin_durations; create table vasopressin_durations as +-- This query extracts durations of vasopressin administration +-- Consecutive administrations are numbered 1, 2, ... +-- Total time on the drug can be calculated from this table by grouping using icustay_id + +-- Get drug administration data from CareVue first +with vasocv1 as +( + select + icustay_id, charttime + -- case statement determining whether the itemid is an instance of vasopressor usage + , max(case when itemid = 30051 then 1 else 0 end) as vaso -- vasopressin + + -- the 'stopped' column indicates if a vasopressor has been disconnected + , max(case when itemid = 30051 and (stopped = 'Stopped' or stopped like 'D/C%') then 1 + else 0 end) as vaso_stopped + + , max(case when itemid = 30051 and rate is not null then 1 else 0 end) as vaso_null + , max(case when itemid = 30051 then rate else null end) as vaso_rate + , max(case when itemid = 30051 then amount else null end) as vaso_amount + + from inputevents_cv + where itemid = 30051 -- vasopressin + group by icustay_id, charttime +) + +, vasocv2 as +( + select v.* + , sum(vaso_null) over (partition by icustay_id order by charttime) as vaso_partition + from + vasocv1 v +) + +, vasocv3 as +( + select v.* + , first_value(vaso_rate) over (partition by icustay_id, vaso_partition order by charttime) as vaso_prevrate_ifnull + from + vasocv2 v +) + +, vasocv4 as +( + select + icustay_id + , charttime + -- , (charttime - (lag(charttime, 1) over (partition by icustay_id, vaso order by charttime))) as delta + + , vaso + , vaso_rate + , vaso_amount + , vaso_stopped + , vaso_prevrate_ifnull + + -- We define start time here + , case + when vaso = 0 then null + + -- if this is the first instance of the vasoactive drug + when vaso_rate > 0 and + lag(vaso_prevrate_ifnull,1) + over + ( + partition by icustay_id, vaso, vaso_null + order by charttime + ) + is null + then 1 + + -- you often get a string of 0s + -- we decide not to set these as 1, just because it makes vasonum sequential + when vaso_rate = 0 and + lag(vaso_prevrate_ifnull,1) + over + ( + partition by icustay_id, vaso + order by charttime + ) + = 0 + then 0 + + -- sometimes you get a string of null, associated with 0 volumes + -- same reason as before, we decide not to set these as 1 + -- vaso_prevrate_ifnull is equal to the previous value *iff* the current value is null + when vaso_prevrate_ifnull = 0 and + lag(vaso_prevrate_ifnull,1) + over + ( + partition by icustay_id, vaso + order by charttime + ) + = 0 + then 0 + + -- If the last recorded rate was 0, newvaso = 1 + when lag(vaso_prevrate_ifnull,1) + over + ( + partition by icustay_id, vaso + order by charttime + ) = 0 + then 1 + + -- If the last recorded vaso was D/C'd, newvaso = 1 + when + lag(vaso_stopped,1) + over + ( + partition by icustay_id, vaso + order by charttime + ) + = 1 then 1 + + -- ** not sure if the below is needed + --when (charttime - (lag(charttime, 1) over (partition by icustay_id, vaso order by charttime))) > (interval '4 hours') then 1 + else null + end as vaso_start + from + vasocv3 +) +-- propagate start/stop flags forward in time + +, vasocv5 as +( + select v.* + , sum(vaso_start) over (partition by icustay_id, vaso order by charttime) as vaso_first + from + vasocv4 v +) + +, vasocv6 as +( + select v.* + -- We define end time here + , case + when vaso = 0 + then null + + -- If the recorded vaso was D/C'd, this is an end time + when vaso_stopped = 1 + then vaso_first + + -- If the rate is zero, this is the end time + when vaso_rate = 0 + then vaso_first + + -- the last row in the table is always a potential end time + -- this captures patients who die/are discharged while on vasopressors + -- in principle, this could add an extra end time for the vasopressor + -- however, since we later group on vaso_start, any extra end times are ignored + when lead(charttime,1) + over + ( + partition by icustay_id, vaso + order by charttime + ) is null + then vaso_first + + else null + end as vaso_stop + from vasocv5 v +) + +-- -- if you want to look at the results of the table before grouping: +-- select +-- icustay_id, charttime, vaso, vaso_rate, vaso_amount +-- , case when vaso_stopped = 1 then 'Y' else '' end as stopped +-- , vaso_start +-- , vaso_first +-- , vaso_stop +-- from vasocv6 order by charttime; + +, vasocv as +( + -- below groups together vasopressor administrations into groups + select + icustay_id + -- the first non-null rate is considered the starttime + , min(case when vaso_rate is not null then charttime else null end) as starttime + -- the *first* time the first/last flags agree is the stop time for this duration + , min(case when vaso_first = vaso_stop then charttime else null end) as endtime + from vasocv6 + where + vaso_first is not null -- bogus data + and + vaso_first != 0 -- sometimes *only* a rate of 0 appears, i.e. the drug is never actually delivered + and + icustay_id is not null -- there are data for "floating" admissions, we don't worry about these + group by icustay_id, vaso_first + having -- ensure start time is not the same as end time + min(charttime) != min(case when vaso_first = vaso_stop then charttime else null end) + and + max(vaso_rate) > 0 -- if the rate was always 0 or null, we consider it not a real drug delivery +) + +select + icustay_id + -- generate a sequential integer for convenience + , row_number() over (partition by icustay_id order by starttime) as vasonum + , starttime, endtime + , round((cast(extract(epoch from (endtime - starttime))/(60*60) as numeric)), 8) as duration_hours + -- add durations +from + vasocv +order by icustay_id, vasonum; \ No newline at end of file diff --git a/mimic-iii-carevue/code/concepts/13_vasopressor_durations.sql b/mimic-iii-carevue/code/concepts/13_vasopressor_durations.sql new file mode 100644 index 000000000..0e0c84bfd --- /dev/null +++ b/mimic-iii-carevue/code/concepts/13_vasopressor_durations.sql @@ -0,0 +1,263 @@ +drop table if exists vasopressor_durations; create table vasopressor_durations as +-- This query extracts durations of vasopressor administration +-- It groups together any administration of the below list of drugs: +-- norepinephrine - 30047,30120 +-- epinephrine - 30044,30119,30309 +-- phenylephrine - 30127,30128 +-- vasopressin - 30051,(42273, 42802 also for 2 patients) +-- dopamine - 30043,30307 +-- dobutamine - 30042,30306 +-- milrinone - 30125 + +-- Consecutive administrations are numbered 1, 2, ... +-- Total time on the drug can be calculated from this table +-- by grouping using icustay_id + +-- select only the itemids from the inputevents_cv table related to vasopressors +with io_cv as +( + select + icustay_id, charttime, itemid, stopped + -- itemids (42273, 42802) accidentally store rate in amount column + , case + when itemid in (42273, 42802) + then amount + else rate + end as rate + , case + when itemid in (42273, 42802) + then rate + else amount + end as amount + from inputevents_cv + where itemid in + ( + 30047,30120,30044,30119,30309,30127 + , 30128,30051,30043,30307,30042,30306,30125 + , 42273, 42802 + ) +) + +, vasocv1 as +( + select + icustay_id, charttime, itemid + -- case statement determining whether the ITEMID is an instance of vasopressor usage + , 1 as vaso + + -- the 'stopped' column indicates if a vasopressor has been disconnected + , max(case when (stopped = 'Stopped' or stopped like 'D/C%') then 1 + else 0 end) as vaso_stopped + + , max(case when rate is not null then 1 else 0 end) as vaso_null + , max(rate) as vaso_rate + , max(amount) as vaso_amount + from io_cv + group by icustay_id, charttime, itemid +) + +, vasocv2 as +( + select v.* + , sum(vaso_null) over (partition by icustay_id, itemid order by charttime) as vaso_partition + from + vasocv1 v +) + +, vasocv3 as +( + select v.* + , first_value(vaso_rate) over (partition by icustay_id, itemid, vaso_partition order by charttime) as vaso_prevrate_ifnull + from + vasocv2 v +) + +, vasocv4 as +( + select + icustay_id + , charttime + , itemid + -- , (charttime - (lag(charttime, 1) over (partition by icustay_id, vaso order by charttime))) as delta + + , vaso + , vaso_rate + , vaso_amount + , vaso_stopped + , vaso_prevrate_ifnull + + -- We define start time here + , case + when vaso = 0 then null + + -- if this is the first instance of the vasoactive drug + when vaso_rate > 0 and + lag(vaso_prevrate_ifnull,1) + over + ( + partition by icustay_id, itemid, vaso, vaso_null + order by charttime + ) + is null + then 1 + + -- you often get a string of 0s + -- we decide not to set these as 1, just because it makes vasonum sequential + when vaso_rate = 0 and + lag(vaso_prevrate_ifnull,1) + over + ( + partition by icustay_id, itemid, vaso + order by charttime + ) + = 0 + then 0 + + -- sometimes you get a string of NULL, associated with 0 volumes + -- same reason as before, we decide not to set these as 1 + -- vaso_prevrate_ifnull is equal to the previous value *iff* the current value is null + when vaso_prevrate_ifnull = 0 and + lag(vaso_prevrate_ifnull,1) + over + ( + partition by icustay_id, itemid, vaso + order by charttime + ) + = 0 + then 0 + + -- If the last recorded rate was 0, newvaso = 1 + when lag(vaso_prevrate_ifnull,1) + over + ( + partition by icustay_id, itemid, vaso + order by charttime + ) = 0 + then 1 + + -- If the last recorded vaso was D/C'd, newvaso = 1 + when + lag(vaso_stopped,1) + over + ( + partition by icustay_id, itemid, vaso + order by charttime + ) + = 1 then 1 + + -- ** not sure if the below is needed + --when (charttime - (lag(charttime, 1) over (partition by icustay_id, vaso order by charttime))) > (interval '4 hours') then 1 + else null + end as vaso_start + from + vasocv3 +) +-- propagate start/stop flags forward in time + +, vasocv5 as +( + select v.* + , sum(vaso_start) over (partition by icustay_id, itemid, vaso order by charttime) as vaso_first + from + vasocv4 v +) + +, vasocv6 as +( + select v.* + -- We define end time here + , case + when vaso = 0 + then null + + -- If the recorded vaso was D/C'd, this is an end time + when vaso_stopped = 1 + then vaso_first + + -- If the rate is zero, this is the end time + when vaso_rate = 0 + then vaso_first + + -- the last row in the table is always a potential end time + -- this captures patients who die/are discharged while on vasopressors + -- in principle, this could add an extra end time for the vasopressor + -- however, since we later group on vaso_start, any extra end times are ignored + when lead(charttime,1) + over + ( + partition by icustay_id, itemid, vaso + order by charttime + ) is null + then vaso_first + + else null + end as vaso_stop + from vasocv5 v +) + +-- -- if you want to look at the results of the table before grouping: +-- select +-- icustay_id, charttime, vaso, vaso_rate, vaso_amount +-- , case when vaso_stopped = 1 then 'Y' else '' end as stopped +-- , vaso_start +-- , vaso_first +-- , vaso_stop +-- from vasocv6 order by charttime; + +, vasocv as +( + -- below groups together vasopressor administrations into groups + select + icustay_id + , itemid + -- the first non-null rate is considered the starttime + , min(case when vaso_rate is not null then charttime else null end) as starttime + -- the *first* time the first/last flags agree is the stop time for this duration + , min(case when vaso_first = vaso_stop then charttime else null end) as endtime + from vasocv6 + where + vaso_first is not null -- bogus data + and + vaso_first != 0 -- sometimes *only* a rate of 0 appears, i.e. the drug is never actually delivered + and + icustay_id is not null -- there are data for "floating" admissions, we don't worry about these + group by icustay_id, itemid, vaso_first + having -- ensure start time is not the same as end time + min(charttime) != min(case when vaso_first = vaso_stop then charttime else null end) + and + max(vaso_rate) > 0 -- if the rate was always 0 or null, we consider it not a real drug delivery +) +-- we do not group by ITEMID in below query +-- this is because we want to collapse all vasopressors together +, vasocv_grp as +( + select + s1.icustay_id, + s1.starttime, + min(t1.endtime) as endtime + from vasocv s1 + inner join vasocv t1 + on s1.icustay_id = t1.icustay_id + and s1.starttime <= t1.endtime + and not exists(select * from vasocv t2 + where t1.icustay_id = t2.icustay_id + and t1.endtime >= t2.starttime + and t1.endtime < t2.endtime) + where not exists(select * from vasocv s2 + where s1.icustay_id = s2.icustay_id + and s1.starttime > s2.starttime + and s1.starttime <= s2.endtime) + group by s1.icustay_id, s1.starttime + order by s1.icustay_id, s1.starttime +) + +select + icustay_id + -- generate a sequential integer for convenience + , row_number() over (partition by icustay_id order by starttime) as vasonum + , starttime, endtime + , round((cast(extract(epoch from (endtime - starttime))/(60*60) as numeric)), 8) as duration_hours + -- add durations +from + vasocv_grp +order by icustay_id, vasonum; \ No newline at end of file diff --git a/mimic-iii-carevue/code/concepts/14_weight_durations.sql b/mimic-iii-carevue/code/concepts/14_weight_durations.sql new file mode 100644 index 000000000..4fa05a7ee --- /dev/null +++ b/mimic-iii-carevue/code/concepts/14_weight_durations.sql @@ -0,0 +1,187 @@ +drop table if exists weight_durations; create table weight_durations as + +with wt_neonate as +( + select c.icustay_id, c.charttime + , max(case when c.itemid = 3580 then c.valuenum end) as wt_kg + , max(case when c.itemid = 3581 then c.valuenum end) as wt_lb + , max(case when c.itemid = 3582 then c.valuenum end) as wt_oz + from chartevents c + where c.itemid in (3580, 3581, 3582) + and c.icustay_id is not null + and coalesce(c.error, 0) = 0 + -- wt_oz/wt_lb/wt_kg are only 0 erroneously, so drop these rows + and c.valuenum > 0 + -- a separate query was run to manually verify only 1 value exists per + -- icustay_id/charttime/itemid grouping + -- therefore, we can use max() across itemid to collapse these values to 1 row per group + group by c.icustay_id, c.charttime +) + +, birth_wt as +( + select c.icustay_id, c.charttime + , max( + case + when c.itemid = 4183 then + -- clean free-text birth weight data + case + -- ignore value if there are any non-numeric characters + when c.value ~ '[^0-9\\.]' then null + -- convert grams to kd + when cast(c.value as numeric) > 100 then cast(c.value as numeric)/1000 + -- keep kg as is, filtering bad values (largest baby ever born was conveniently 9.98kg) + when cast(c.value as numeric) < 10 then cast(c.value as numeric) + -- ignore other values (those between 10-100) - junk data + else null end + -- itemid 3723 happily has all numeric data - also doesn't store any grams data + when c.itemid = 3723 and c.valuenum < 10 then c.valuenum + else null end) as wt_kg + from chartevents c + where c.itemid in (3723, 4183) + and c.icustay_id is not null + and coalesce(c.error, 0) = 0 + -- a separate query was run to manually verify only 1 value exists per + -- icustay_id/charttime/itemid grouping + -- therefore, we can use max() across itemid to collapse these values to 1 row per group + group by c.icustay_id, c.charttime +) + +, wt_stg as +( + select + c.icustay_id + , c.charttime + , case when c.itemid in (762,226512) then 'admit' + else 'daily' end as weight_type + -- TODO: eliminate obvious outliers if there is a reasonable weight + , c.valuenum as weight + from chartevents c + where c.valuenum is not null + and c.itemid in + ( + 762,226512 -- Admit Wt + , 763,224639 -- Daily Weight + ) + and c.icustay_id is not null + and c.valuenum > 0 + -- exclude rows marked as error + and coalesce(c.error, 0) = 0 + union all + select + n.icustay_id + , n.charttime + , 'daily' as weight_type + , case + when wt_kg is not null then wt_kg + when wt_lb is not null then wt_lb*0.45359237 + wt_oz*0.0283495231 + else null end as weight + from wt_neonate n + union all + select + b.icustay_id + , b.charttime + -- birth weight of neonates is treated as admission weight + , 'admit' as weight_type + , wt_kg as weight + from birth_wt b +) + +, wt_stg0 as +( + select icustay_id, charttime, weight_type, weight + from wt_stg +) + +-- assign ascending row number +, wt_stg1 as +( + select + icustay_id + , charttime + , weight_type + , weight + , row_number() over (partition by icustay_id, weight_type order by charttime) as rn + from wt_stg0 + where weight is not null +) + +-- change charttime to intime for the first admission weight recorded +, wt_stg2 as +( + select + wt_stg1.icustay_id + , ie.intime, ie.outtime + , case when wt_stg1.weight_type = 'admit' and wt_stg1.rn = 1 + then ie.intime - interval '2 hour' + else wt_stg1.charttime end as starttime + , wt_stg1.weight + from wt_stg1 + inner join icustays ie + on ie.icustay_id = wt_stg1.icustay_id +) +, wt_stg3 as +( + select + icustay_id + , intime, outtime + , starttime + , coalesce( + lead(starttime) over (partition by icustay_id order by starttime), + greatest(outtime, starttime) + interval '2 hour' + ) as endtime + , weight + from wt_stg2 +) +-- this table is the start/stop times from admit/daily weight in charted data +, wt1 as +( + select + icustay_id + , starttime + , coalesce(endtime, + lead(starttime) over (partition by icustay_id order by starttime), + -- impute ICU discharge as the end of the final weight measurement + -- plus a 2 hour "fuzziness" window + outtime + interval '2 hour' + ) as endtime + , weight + from wt_stg3 +) +-- if the intime for the patient is < the first charted daily weight +-- then we will have a "gap" at the start of their stay +-- to prevent this, we look for these gaps and backfill the first weight +, wt_fix as +( + select ie.icustay_id + -- we add a 2 hour "fuzziness" window + , ie.intime - interval '2 hour' as starttime + , wt.starttime as endtime + , wt.weight + from icustays ie + inner join + -- the below subquery returns one row for each unique icustay_id + -- the row contains: the first starttime and the corresponding weight + ( + select wt1.icustay_id, wt1.starttime, wt1.weight + , row_number() over (partition by wt1.icustay_id order by wt1.starttime) as rn + from wt1 + ) wt + on ie.icustay_id = wt.icustay_id + and wt.rn = 1 + and ie.intime < wt.starttime +) +-- add the backfill rows to the main weight table +select + wt1.icustay_id + , wt1.starttime + , wt1.endtime + , wt1.weight +from wt1 +union all +select + wt_fix.icustay_id + , wt_fix.starttime + , wt_fix.endtime + , wt_fix.weight +from wt_fix; \ No newline at end of file diff --git a/mimic-iii-carevue/code/concepts/15_elixhauser_ahrq_v37.sql b/mimic-iii-carevue/code/concepts/15_elixhauser_ahrq_v37.sql new file mode 100644 index 000000000..fb43e4dec --- /dev/null +++ b/mimic-iii-carevue/code/concepts/15_elixhauser_ahrq_v37.sql @@ -0,0 +1,991 @@ +drop table if exists elixhauser_ahrq_v37; create table elixhauser_ahrq_v37 as +-- This code uses the latest version of Elixhauser provided by AHRQ + +with eliflg as +( +select hadm_id, seq_num, icd9_code +-- note that these codes will seem incomplete at first +-- for example, CHF is missing a lot of codes referenced in the literature (402.11, 402.91, etc) +-- these codes are captured by hypertension flags instead +-- later there are some complicated rules which confirm/reject those codes as chf +, case + when icd9_code = '39891' then 1 + when icd9_code between '4280' and '4289' then 1 + end as chf /* Congestive heart failure */ + +-- cardiac arrhythmias is removed in up to date versions +, case + when icd9_code = '42610' then 1 + when icd9_code = '42611' then 1 + when icd9_code = '42613' then 1 + when icd9_code between '4262' and '42653' then 1 + when icd9_code between '4266' and '42689' then 1 + when icd9_code = '4270' then 1 + when icd9_code = '4272' then 1 + when icd9_code = '42731' then 1 + when icd9_code = '42760' then 1 + when icd9_code = '4279' then 1 + when icd9_code = '7850' then 1 + when icd9_code between 'V450' and 'V4509' then 1 + when icd9_code between 'V533' and 'V5339' then 1 + end as arythm /* Cardiac arrhythmias */ + +, case + when icd9_code between '09320' and '09324' then 1 + when icd9_code between '3940' and '3971' then 1 + when icd9_code = '3979' then 1 + when icd9_code between '4240' and '42499' then 1 + when icd9_code between '7463' and '7466' then 1 + when icd9_code = 'V422' then 1 + when icd9_code = 'V433' then 1 + end as valve /* Valvular disease */ + +, case + when icd9_code between '41511' and '41519' then 1 + when icd9_code between '4160' and '4169' then 1 + when icd9_code = '4179' then 1 + end as pulmcirc /* Pulmonary circulation disorder */ + +, case + when icd9_code between '4400' and '4409' then 1 + when icd9_code between '44100' and '4419' then 1 + when icd9_code between '4420' and '4429' then 1 + when icd9_code between '4431' and '4439' then 1 + when icd9_code between '44421' and '44422' then 1 + when icd9_code = '4471' then 1 + when icd9_code = '449' then 1 + when icd9_code = '5571' then 1 + when icd9_code = '5579' then 1 + when icd9_code = 'V434' then 1 + end as perivasc /* Peripheral vascular disorder */ + +, case + when icd9_code = '4011' then 1 + when icd9_code = '4019' then 1 + when icd9_code between '64200' and '64204' then 1 + end as htn /* Hypertension, uncomplicated */ + +, case + when icd9_code = '4010' then 1 + when icd9_code = '4372' then 1 + end as htncx /* Hypertension, complicated */ + + + /******************************************************************/ + /* The following are special, temporary formats used in the */ + /* creation of the hypertension complicated comorbidity when */ + /* overlapping with congestive heart failure or renal failure */ + /* occurs. These temporary formats are referenced in the program */ + /* called comoanaly2009.txt. */ + /******************************************************************/ +, case + when icd9_code between '64220' and '64224' then 1 + end as htnpreg /* Pre-existing hypertension complicating pregnancy */ + +, case + when icd9_code = '40200' then 1 + when icd9_code = '40210' then 1 + when icd9_code = '40290' then 1 + when icd9_code = '40509' then 1 + when icd9_code = '40519' then 1 + when icd9_code = '40599' then 1 + end as htnwochf /* Hypertensive heart disease without heart failure */ + +, case + when icd9_code = '40201' then 1 + when icd9_code = '40211' then 1 + when icd9_code = '40291' then 1 + end as htnwchf /* Hypertensive heart disease with heart failure */ + +, case + when icd9_code = '40300' then 1 + when icd9_code = '40310' then 1 + when icd9_code = '40390' then 1 + when icd9_code = '40501' then 1 + when icd9_code = '40511' then 1 + when icd9_code = '40591' then 1 + when icd9_code between '64210' and '64214' then 1 + end as hrenworf /* Hypertensive renal disease without renal failure */ + +, case + when icd9_code = '40301' then 1 + when icd9_code = '40311' then 1 + when icd9_code = '40391' then 1 + end as hrenwrf /* Hypertensive renal disease with renal failure */ + +, case + when icd9_code = '40400' then 1 + when icd9_code = '40410' then 1 + when icd9_code = '40490' then 1 + end as hhrwohrf /* Hypertensive heart and renal disease without heart or renal failure */ + +, case + when icd9_code = '40401' then 1 + when icd9_code = '40411' then 1 + when icd9_code = '40491' then 1 + end as hhrwchf /* Hypertensive heart and renal disease with heart failure */ + +, case + when icd9_code = '40402' then 1 + when icd9_code = '40412' then 1 + when icd9_code = '40492' then 1 + end as hhrwrf /* Hypertensive heart and renal disease with renal failure */ + +, case + when icd9_code = '40403' then 1 + when icd9_code = '40413' then 1 + when icd9_code = '40493' then 1 + end as hhrwhrf /* Hypertensive heart and renal disease with heart and renal failure */ + +, case + when icd9_code between '64270' and '64274' then 1 + when icd9_code between '64290' and '64294' then 1 + end as ohtnpreg /* Other hypertension in pregnancy */ + + /******************** End Temporary Formats ***********************/ + +, case + when icd9_code between '3420' and '3449' then 1 + when icd9_code between '43820' and '43853' then 1 + when icd9_code = '78072' then 1 + end as para /* Paralysis */ + +, case + when icd9_code between '3300' and '3319' then 1 + when icd9_code = '3320' then 1 + when icd9_code = '3334' then 1 + when icd9_code = '3335' then 1 + when icd9_code = '3337' then 1 + when icd9_code in ('33371','33372','33379','33385','33394') then 1 + when icd9_code between '3340' and '3359' then 1 + when icd9_code = '3380' then 1 + when icd9_code = '340' then 1 + when icd9_code between '3411' and '3419' then 1 + when icd9_code between '34500' and '34511' then 1 + when icd9_code between '3452' and '3453' then 1 + when icd9_code between '34540' and '34591' then 1 + when icd9_code between '34700' and '34701' then 1 + when icd9_code between '34710' and '34711' then 1 + when icd9_code = '3483' then 1 -- discontinued icd-9 + when icd9_code between '64940' and '64944' then 1 + when icd9_code = '7687' then 1 + when icd9_code between '76870' and '76873' then 1 + when icd9_code = '7803' then 1 + when icd9_code = '78031' then 1 + when icd9_code = '78032' then 1 + when icd9_code = '78033' then 1 + when icd9_code = '78039' then 1 + when icd9_code = '78097' then 1 + when icd9_code = '7843' then 1 + end as neuro /* Other neurological */ + +, case + when icd9_code between '490' and '4928' then 1 + when icd9_code between '49300' and '49392' then 1 + when icd9_code between '494' and '4941' then 1 + when icd9_code between '4950' and '505' then 1 + when icd9_code = '5064' then 1 + end as chrnlung /* Chronic pulmonary disease */ + +, case + when icd9_code between '25000' and '25033' then 1 + when icd9_code between '64800' and '64804' then 1 + when icd9_code between '24900' and '24931' then 1 + end as dm /* Diabetes w/o chronic complications*/ + +, case + when icd9_code between '25040' and '25093' then 1 + when icd9_code = '7751' then 1 + when icd9_code between '24940' and '24991' then 1 + end as dmcx /* Diabetes w/ chronic complications */ + +, case + when icd9_code between '243' and '2442' then 1 + when icd9_code = '2448' then 1 + when icd9_code = '2449' then 1 + end as hypothy /* Hypothyroidism */ + +, case + when icd9_code = '585' then 1 -- discontinued code + when icd9_code = '5853' then 1 + when icd9_code = '5854' then 1 + when icd9_code = '5855' then 1 + when icd9_code = '5856' then 1 + when icd9_code = '5859' then 1 + when icd9_code = '586' then 1 + when icd9_code = 'V420' then 1 + when icd9_code = 'V451' then 1 + when icd9_code between 'V560' and 'V5632' then 1 + when icd9_code = 'V568' then 1 + when icd9_code between 'V4511' and 'V4512' then 1 + end as renlfail /* Renal failure */ + +, case + when icd9_code = '07022' then 1 + when icd9_code = '07023' then 1 + when icd9_code = '07032' then 1 + when icd9_code = '07033' then 1 + when icd9_code = '07044' then 1 + when icd9_code = '07054' then 1 + when icd9_code = '4560' then 1 + when icd9_code = '4561' then 1 + when icd9_code = '45620' then 1 + when icd9_code = '45621' then 1 + when icd9_code = '5710' then 1 + when icd9_code = '5712' then 1 + when icd9_code = '5713' then 1 + when icd9_code between '57140' and '57149' then 1 + when icd9_code = '5715' then 1 + when icd9_code = '5716' then 1 + when icd9_code = '5718' then 1 + when icd9_code = '5719' then 1 + when icd9_code = '5723' then 1 + when icd9_code = '5728' then 1 + when icd9_code = '5735' then 1 + when icd9_code = 'V427' then 1 + end as liver /* Liver disease */ + +, case + when icd9_code = '53141' then 1 + when icd9_code = '53151' then 1 + when icd9_code = '53161' then 1 + when icd9_code = '53170' then 1 + when icd9_code = '53171' then 1 + when icd9_code = '53191' then 1 + when icd9_code = '53241' then 1 + when icd9_code = '53251' then 1 + when icd9_code = '53261' then 1 + when icd9_code = '53270' then 1 + when icd9_code = '53271' then 1 + when icd9_code = '53291' then 1 + when icd9_code = '53341' then 1 + when icd9_code = '53351' then 1 + when icd9_code = '53361' then 1 + when icd9_code = '53370' then 1 + when icd9_code = '53371' then 1 + when icd9_code = '53391' then 1 + when icd9_code = '53441' then 1 + when icd9_code = '53451' then 1 + when icd9_code = '53461' then 1 + when icd9_code = '53470' then 1 + when icd9_code = '53471' then 1 + when icd9_code = '53491' then 1 + end as ulcer /* Chronic Peptic ulcer disease (includes bleeding only if obstruction is also present) */ + +, case + when icd9_code between '042' and '0449' then 1 + end as aids /* HIV and AIDS */ + +, case + when icd9_code between '20000' and '20238' then 1 + when icd9_code between '20250' and '20301' then 1 + when icd9_code = '2386' then 1 + when icd9_code = '2733' then 1 + when icd9_code between '20302' and '20382' then 1 + end as lymph /* Lymphoma */ + +, case + when icd9_code between '1960' and '1991' then 1 + when icd9_code between '20970' and '20975' then 1 + when icd9_code = '20979' then 1 + when icd9_code = '78951' then 1 + end as mets /* Metastatic cancer */ + +, case + when icd9_code between '1400' and '1729' then 1 + when icd9_code between '1740' and '1759' then 1 + when icd9_code between '179' and '1958' then 1 + when icd9_code between '20900' and '20924' then 1 + when icd9_code between '20925' and '2093' then 1 + when icd9_code between '20930' and '20936' then 1 + when icd9_code between '25801' and '25803' then 1 + end as tumor /* Solid tumor without metastasis */ + +, case + when icd9_code = '7010' then 1 + when icd9_code between '7100' and '7109' then 1 + when icd9_code between '7140' and '7149' then 1 + when icd9_code between '7200' and '7209' then 1 + when icd9_code = '725' then 1 + end as arth /* Rheumatoid arthritis/collagen vascular diseases */ + +, case + when icd9_code between '2860' and '2869' then 1 + when icd9_code = '2871' then 1 + when icd9_code between '2873' and '2875' then 1 + when icd9_code between '64930' and '64934' then 1 + when icd9_code = '28984' then 1 + end as coag /* Coagulation deficiency */ + +, case + when icd9_code = '2780' then 1 + when icd9_code = '27800' then 1 + when icd9_code = '27801' then 1 + when icd9_code = '27803' then 1 + when icd9_code between '64910' and '64914' then 1 + when icd9_code between 'V8530' and 'V8539' then 1 + when icd9_code = 'V854' then 1 -- hierarchy used for AHRQ v3.6 and earlier + when icd9_code between 'V8541' and 'V8545' then 1 + when icd9_code = 'V8554' then 1 + when icd9_code = '79391' then 1 + end as obese /* Obesity */ + +, case + when icd9_code between '260' and '2639' then 1 + when icd9_code between '78321' and '78322' then 1 + end as wghtloss /* Weight loss */ + +, case + when icd9_code between '2760' and '2769' then 1 + end as lytes /* Fluid and electrolyte disorders - note: + this comorbidity should be dropped when + used with the AHRQ Patient Safety Indicators*/ +, case + when icd9_code = '2800' then 1 + when icd9_code between '64820' and '64824' then 1 + end as bldloss /* Blood loss anemia */ + +, case + when icd9_code between '2801' and '2819' then 1 + when icd9_code between '28521' and '28529' then 1 + when icd9_code = '2859' then 1 + end as anemdef /* Deficiency anemias */ + +, case + when icd9_code between '2910' and '2913' then 1 + when icd9_code = '2915' then 1 + when icd9_code = '2918' then 1 + when icd9_code = '29181' then 1 + when icd9_code = '29182' then 1 + when icd9_code = '29189' then 1 + when icd9_code = '2919' then 1 + when icd9_code between '30300' and '30393' then 1 + when icd9_code between '30500' and '30503' then 1 + end as alcohol /* Alcohol abuse */ + +, case + when icd9_code = '2920' then 1 + when icd9_code between '29282' and '29289' then 1 + when icd9_code = '2929' then 1 + when icd9_code between '30400' and '30493' then 1 + when icd9_code between '30520' and '30593' then 1 + when icd9_code between '64830' and '64834' then 1 + end as drug /* Drug abuse */ + +, case + when icd9_code between '29500' and '2989' then 1 + when icd9_code = '29910' then 1 + when icd9_code = '29911' then 1 + end as psych /* Psychoses */ + +, case + when icd9_code = '3004' then 1 + when icd9_code = '30112' then 1 + when icd9_code = '3090' then 1 + when icd9_code = '3091' then 1 + when icd9_code = '311' then 1 + end as depress /* Depression */ +from diagnoses_icd icd +where seq_num = 1 +) +-- collapse the icd9_code specific flags into hadm_id specific flags +-- this groups comorbidities together for a single patient admission +, eligrp as +( + select hadm_id + , max(chf) as chf + , max(arythm) as arythm + , max(valve) as valve + , max(pulmcirc) as pulmcirc + , max(perivasc) as perivasc + , max(htn) as htn + , max(htncx) as htncx + , max(htnpreg) as htnpreg + , max(htnwochf) as htnwochf + , max(htnwchf) as htnwchf + , max(hrenworf) as hrenworf + , max(hrenwrf) as hrenwrf + , max(hhrwohrf) as hhrwohrf + , max(hhrwchf) as hhrwchf + , max(hhrwrf) as hhrwrf + , max(hhrwhrf) as hhrwhrf + , max(ohtnpreg) as ohtnpreg + , max(para) as para + , max(neuro) as neuro + , max(chrnlung) as chrnlung + , max(dm) as dm + , max(dmcx) as dmcx + , max(hypothy) as hypothy + , max(renlfail) as renlfail + , max(liver) as liver + , max(ulcer) as ulcer + , max(aids) as aids + , max(lymph) as lymph + , max(mets) as mets + , max(tumor) as tumor + , max(arth) as arth + , max(coag) as coag + , max(obese) as obese + , max(wghtloss) as wghtloss + , max(lytes) as lytes + , max(bldloss) as bldloss + , max(anemdef) as anemdef + , max(alcohol) as alcohol + , max(drug) as drug + , max(psych) as psych + , max(depress) as depress +from eliflg +group by hadm_id +) + +-- DRG FILTER -- +, msdrg as +( +select + hadm_id +/**** V29 MS-DRG Formats ****/ + +/* Cardiac */ +, case + when d.drg_code between 001 and 002 then 1 + when d.drg_code between 215 and 238 then 1 + when d.drg_code between 242 and 252 then 1 + when d.drg_code between 253 and 254 then 1 + when d.drg_code between 258 and 262 then 1 + when d.drg_code between 265 and 267 then 1 + when d.drg_code between 280 and 293 then 1 + when d.drg_code between 296 and 298 then 1 + when d.drg_code between 302 and 303 then 1 + when d.drg_code between 306 and 313 then 1 +else 0 end as carddrg + +/* Peripheral vascular */ +, case + when d.drg_code between 299 and 301 then 1 +else 0 end as peridrg + +/* Renal */ +, case + when d.drg_code = 652 then 1 + when d.drg_code between 656 and 661 then 1 + when d.drg_code between 673 and 675 then 1 + when d.drg_code between 682 and 700 then 1 +else 0 end as renaldrg + +/* Nervous system */ +, case + when d.drg_code between 020 and 042 then 1 + when d.drg_code between 052 and 103 then 1 +else 0 end as nervdrg + +/* Cerebrovascular */ +, case + when d.drg_code between 020 and 022 then 1 + when d.drg_code between 034 and 039 then 1 + when d.drg_code between 064 and 072 then 1 +else 0 end as ceredrg + +/* COPD asthma */ +, case + when d.drg_code between 190 and 192 then 1 + when d.drg_code between 202 and 203 then 1 +else 0 end as pulmdrg + +/* Diabetes */ +, case + when d.drg_code between 637 and 639 then 1 +else 0 end as DIABDRG + +/* Thyroid endocrine */ +, case + when d.drg_code between 625 and 627 then 1 + when d.drg_code between 643 and 645 then 1 +else 0 end as hypodrg + +/* Kidney transp, renal fail/dialysis */ +, case + when d.drg_code = 652 then 1 + when d.drg_code between 682 and 685 then 1 +else 0 end as renfdrg + +/* Liver */ +, case + when d.drg_code between 420 and 425 then 1 + when d.drg_code between 432 and 434 then 1 + when d.drg_code between 441 and 446 then 1 +else 0 end as liverdrg + +/* GI hemorrhage or ulcer */ +, case + when d.drg_code between 377 and 384 then 1 +else 0 end as ulcedrg + +/* Human immunodeficiency virus */ +, case + when d.drg_code between 969 and 970 then 1 + when d.drg_code between 974 and 977 then 1 +else 0 end as hivdrg + +/* Leukemia/lymphoma */ +, case + when d.drg_code between 820 and 830 then 1 + when d.drg_code between 834 and 849 then 1 +else 0 end as leukdrg + +/* Cancer, lymphoma */ +, case + when d.drg_code = 054 then 1 + when d.drg_code = 055 then 1 + when d.drg_code between 146 and 148 then 1 + when d.drg_code between 180 and 182 then 1 + when d.drg_code between 374 and 376 then 1 + when d.drg_code between 435 and 437 then 1 + when d.drg_code between 542 and 544 then 1 + when d.drg_code between 582 and 585 then 1 + when d.drg_code between 597 and 599 then 1 + when d.drg_code between 656 and 658 then 1 + when d.drg_code between 686 and 688 then 1 + when d.drg_code between 715 and 716 then 1 + when d.drg_code between 722 and 724 then 1 + when d.drg_code between 736 and 741 then 1 + when d.drg_code between 754 and 756 then 1 + when d.drg_code between 826 and 830 then 1 + when d.drg_code between 843 and 849 then 1 +else 0 end as cancdrg + +/* Connective tissue */ +, case + when d.drg_code between 545 and 547 then 1 +else 0 end as arthdrg + +/* Nutrition/metabolic */ +, case + when d.drg_code between 640 and 641 then 1 +else 0 end as nutrdrg + +/* Anemia */ +, case + when d.drg_code between 808 and 812 then 1 +else 0 end as anemdrg + +/* Alcohol drug */ +, case + when d.drg_code between 894 and 897 then 1 +else 0 end as alcdrg + +/*Coagulation disorders*/ +, case + when d.drg_code = 813 then 1 +else 0 end as coagdrg + +/*Hypertensive Complicated */ +, case + when d.drg_code = 077 then 1 + when d.drg_code = 078 then 1 + when d.drg_code = 304 then 1 +else 0 end as htncxdrg + +/*Hypertensive Uncomplicated */ +, case + when d.drg_code = 079 then 1 + when d.drg_code = 305 then 1 +else 0 end as htndrg + +/* Psychoses */ +, case + when d.drg_code = 885 then 1 +else 0 end as psydrg + +/* Obesity */ +, case + when d.drg_code between 619 and 621 then 1 +else 0 end as obesedrg + +/* Depressive Neuroses */ +, case + when d.drg_code = 881 then 1 +else 0 end as deprsdrg + +from +( + select hadm_id, drg_type, cast(drg_code as numeric) as drg_code + from drgcodes + where drg_type = 'MS' +) d + +) +, hcfadrg as +( +select + hadm_id + + /** V24 DRG Formats **/ + + /* Cardiac */ + , case + when d.drg_code between 103 and 112 then 1 + when d.drg_code between 115 and 118 then 1 + when d.drg_code between 121 and 127 then 1 + when d.drg_code = 129 then 1 + when d.drg_code = 132 then 1 + when d.drg_code = 133 then 1 + when d.drg_code between 135 and 143 then 1 + when d.drg_code between 514 and 518 then 1 + when d.drg_code between 525 and 527 then 1 + when d.drg_code between 535 and 536 then 1 + when d.drg_code between 547 and 550 then 1 + when d.drg_code between 551 and 558 then 1 + else 0 end as carddrg + + /* Peripheral vascular */ + , case + when d.drg_code = 130 then 1 + when d.drg_code = 131 then 1 + else 0 end as peridrg + + /* Renal */ + , case + when d.drg_code between 302 and 305 then 1 + when d.drg_code between 315 and 333 then 1 + + else 0 end as renaldrg + + /* Nervous system */ + , case + when d.drg_code between 1 and 35 then 1 + when d.drg_code = 524 then 1 + when d.drg_code between 528 and 534 then 1 + when d.drg_code = 543 then 1 + when d.drg_code between 559 and 564 then 1 + when d.drg_code = 577 then 1 + + else 0 end as nervdrg + + /* Cerebrovascular */ + , case + when d.drg_code = 5 then 1 + when d.drg_code between 14 and 17 then 1 + when d.drg_code = 524 then 1 + when d.drg_code = 528 then 1 + when d.drg_code between 533 and 534 then 1 + when d.drg_code = 577 then 1 + else 0 end as ceredrg + + /* COPD asthma */ + , case + when d.drg_code = 88 then 1 + when d.drg_code between 96 and 98 then 1 + + else 0 end as pulmdrg + + /* Diabetes */ + , case + when d.drg_code = 294 then 1 + when d.drg_code = 295 then 1 + else 0 end as diabdrg + + /* Thyroid endocrine */ + , case + when d.drg_code = 290 then 1 + when d.drg_code = 300 then 1 + when d.drg_code = 301 then 1 + + else 0 end as hypodrg + + /* Kidney transp, renal fail/dialysis */ + , case + when d.drg_code = 302 then 1 + when d.drg_code = 316 then 1 + when d.drg_code = 317 then 1 + else 0 end as renfdrg + + /* Liver */ + , case + when d.drg_code between 199 and 202 then 1 + when d.drg_code between 205 and 208 then 1 + + else 0 end as liverdrg + + /* GI hemorrhage or ulcer */ + , case + when d.drg_code between 174 and 178 then 1 + else 0 end as ulcedrg + + /* Human immunodeficiency virus */ + , case + when d.drg_code = 488 then 1 + when d.drg_code = 489 then 1 + when d.drg_code = 490 then 1 + + else 0 end as hivdrg + + /* Leukemia/lymphoma */ + , case + when d.drg_code between 400 and 414 then 1 + when d.drg_code = 473 then 1 + when d.drg_code = 492 then 1 + when d.drg_code between 539 and 540 then 1 + + else 0 end as leukdrg + + /* Cancer, lymphoma */ + , case + when d.drg_code = 10 then 1 + when d.drg_code = 11 then 1 + when d.drg_code = 64 then 1 + when d.drg_code = 82 then 1 + when d.drg_code = 172 then 1 + when d.drg_code = 173 then 1 + when d.drg_code = 199 then 1 + when d.drg_code = 203 then 1 + when d.drg_code = 239 then 1 + + when d.drg_code between 257 and 260 then 1 + when d.drg_code = 274 then 1 + when d.drg_code = 275 then 1 + when d.drg_code = 303 then 1 + when d.drg_code = 318 then 1 + when d.drg_code = 319 then 1 + + when d.drg_code = 338 then 1 + when d.drg_code = 344 then 1 + when d.drg_code = 346 then 1 + when d.drg_code = 347 then 1 + when d.drg_code = 354 then 1 + when d.drg_code = 355 then 1 + when d.drg_code = 357 then 1 + when d.drg_code = 363 then 1 + when d.drg_code = 366 then 1 + + when d.drg_code = 367 then 1 + when d.drg_code between 406 and 414 then 1 + else 0 end as cancdrg + + /* Connective tissue */ + , case + when d.drg_code = 240 then 1 + when d.drg_code = 241 then 1 + else 0 end as arthdrg + + /* Nutrition/metabolic */ + , case + when d.drg_code between 296 and 298 then 1 + else 0 end as nutrdrg + + /* Anemia */ + , case + when d.drg_code = 395 then 1 + when d.drg_code = 396 then 1 + when d.drg_code = 574 then 1 + else 0 end as anemdrg + + /* Alcohol drug */ + , case + when d.drg_code between 433 and 437 then 1 + when d.drg_code between 521 and 523 then 1 + else 0 end as alcdrg + + /* Coagulation disorders */ + , case + when d.drg_code = 397 then 1 + else 0 end as coagdrg + + /* Hypertensive Complicated */ + , case + when d.drg_code = 22 then 1 + when d.drg_code = 134 then 1 + else 0 end as htncxdrg + + /* Hypertensive Uncomplicated */ + , case + when d.drg_code = 134 then 1 + else 0 end as htndrg + + /* Psychoses */ + , case + when d.drg_code = 430 then 1 + else 0 end as psydrg + + /* Obesity */ + , case + when d.drg_code = 288 then 1 + else 0 end as obesedrg + + /* Depressive Neuroses */ + , case + when d.drg_code = 426 then 1 + else 0 end as deprsdrg + + from + ( + select hadm_id, drg_type, cast(drg_code as numeric) as drg_code + from drgcodes + where drg_type = 'HCFA' + ) d +) +-- merge DRG groups together +, drggrp as +( + select hadm_id +, max(carddrg) as carddrg +, max(peridrg) as peridrg +, max(renaldrg) as renaldrg +, max(nervdrg) as nervdrg +, max(ceredrg) as ceredrg +, max(pulmdrg) as pulmdrg +, max(diabdrg) as diabdrg +, max(hypodrg) as hypodrg +, max(renfdrg) as renfdrg +, max(liverdrg) as liverdrg +, max(ulcedrg) as ulcedrg +, max(hivdrg) as hivdrg +, max(leukdrg) as leukdrg +, max(cancdrg) as cancdrg +, max(arthdrg) as arthdrg +, max(nutrdrg) as nutrdrg +, max(anemdrg) as anemdrg +, max(alcdrg) as alcdrg +, max(coagdrg) as coagdrg +, max(htncxdrg) as htncxdrg +, max(htndrg) as htndrg +, max(psydrg) as psydrg +, max(obesedrg) as obesedrg +, max(deprsdrg) as deprsdrg +from +( + select d1.* from msdrg d1 + union distinct + select d1.* from hcfadrg d1 +) d +group by d.hadm_id +) +-- now merge these flags together to define elixhauser +-- most are straightforward.. but hypertension flags are a bit more complicated +select adm.subject_id, adm.hadm_id +, case + when carddrg = 1 then 0 -- DRG filter + + when chf = 1 then 1 + when htnwchf = 1 then 1 + when hhrwchf = 1 then 1 + when hhrwhrf = 1 then 1 + else 0 end as congestive_heart_failure +, case + when carddrg = 1 then 0 -- DRG filter + when arythm = 1 then 1 + else 0 end as cardiac_arrhythmias +, case + when carddrg = 1 then 0 + when valve = 1 then 1 + else 0 end as valvular_disease +, case + when carddrg = 1 or pulmdrg = 1 then 0 + when pulmcirc = 1 then 1 + else 0 end as pulmonary_circulation +, case + when peridrg = 1 then 0 + when perivasc = 1 then 1 + else 0 end as peripheral_vascular + +-- we combine 'htn' and 'htncx' into 'HYPERTENSION' +-- note 'htn' (hypertension) is only 1 if 'htncx' (complicated hypertension) is 0 +-- also if htncxdrg = 1, then htndrg = 1 + +-- In the original Sas code, it appears that: +-- HTN can be 1 +-- HTNCX is set to 0 by DRGs +-- but HTN_C is still 1, because HTN is 1 +-- so we have to do this complex addition. +, +case + when +( +-- first hypertension +case + when htndrg = 0 then 0 + when htn = 1 then 1 +else 0 end +) ++ +( +-- next complicated hypertension +case + when htncx = 1 and htncxdrg = 1 then 0 + + when htnpreg = 1 and htncxdrg = 1 then 0 + when htnwochf = 1 and (htncxdrg = 1 OR carddrg = 1) then 0 + when htnwchf = 1 and htncxdrg = 1 then 0 + when htnwchf = 1 and carddrg = 1 then 0 + when hrenworf = 1 and (htncxdrg = 1 or renaldrg = 1) then 0 + when hrenwrf = 1 and htncxdrg = 1 then 0 + when hrenwrf = 1 and renaldrg = 1 then 0 + when hhrwohrf = 1 and (htncxdrg = 1 or carddrg = 1 or renaldrg = 1) then 0 + when hhrwchf = 1 and (htncxdrg = 1 or carddrg = 1 or renaldrg = 1) then 0 + when hhrwrf = 1 and (htncxdrg = 1 or carddrg = 1 or renaldrg = 1) then 0 + when hhrwhrf = 1 and (htncxdrg = 1 or carddrg = 1 or renaldrg = 1) then 0 + when ohtnpreg = 1 and (htncxdrg = 1 or carddrg = 1 or renaldrg = 1) then 0 + + when htncx = 1 then 1 + when htnpreg = 1 then 1 + when htnwochf = 1 then 1 + when htnwchf = 1 then 1 + when hrenworf = 1 then 1 + when hrenwrf = 1 then 1 + when hhrwohrf = 1 then 1 + when hhrwchf = 1 then 1 + when hhrwrf = 1 then 1 + when hhrwhrf = 1 then 1 + when ohtnpreg = 1 then 1 + else 0 end +) + > 0 then 1 else 0 end as hypertension + +, case when ceredrg = 1 then 0 when para = 1 then 1 else 0 end as paralysis +, case when nervdrg = 1 then 0 when neuro = 1 then 1 else 0 end as other_neurological +, case when pulmdrg = 1 then 0 when chrnlung = 1 then 1 else 0 end as chronic_pulmonary +, case + -- only the more severe comorbidity (complicated diabetes) is kept + when diabdrg = 1 then 0 + when dmcx = 1 then 0 + when dm = 1 then 1 + else 0 end as diabetes_uncomplicated +, case when diabdrg = 1 then 0 when dmcx = 1 then 1 else 0 end as diabetes_complicated +, case when hypodrg = 1 then 0 when hypothy = 1 then 1 else 0 end as hypothyroidism +, case + when renaldrg = 1 then 0 + when renlfail = 1 then 1 + when hrenwrf = 1 then 1 + when hhrwrf = 1 then 1 + when hhrwhrf = 1 then 1 + else 0 end as renal_failure + +, case when liverdrg = 1 then 0 when liver = 1 then 1 else 0 end as liver_disease +, case when ulcedrg = 1 then 0 when ulcer = 1 then 1 else 0 end as peptic_ulcer +, case when hivdrg = 1 then 0 when aids = 1 then 1 else 0 end as aids +, case when leukdrg = 1 then 0 when lymph = 1 then 1 else 0 end as lymphoma +, case when cancdrg = 1 then 0 when mets = 1 then 1 else 0 end as metastatic_cancer +, case + when cancdrg = 1 then 0 + -- only the more severe comorbidity (metastatic cancer) is kept + when mets = 1 then 0 + when tumor = 1 then 1 + else 0 end as solid_tumor +, case when arthdrg = 1 then 0 when arth = 1 then 1 else 0 end as rheumatoid_arthritis +, case when coagdrg = 1 then 0 when coag = 1 then 1 else 0 end as coagulopathy +, case when nutrdrg = 1 + OR obesedrg = 1 then 0 when obese = 1 then 1 else 0 end as obesity +, case when nutrdrg = 1 then 0 when wghtloss = 1 then 1 else 0 end as weight_loss +, case when nutrdrg = 1 then 0 when lytes = 1 then 1 else 0 end as fluid_electrolyte +, case when anemdrg = 1 then 0 when bldloss = 1 then 1 else 0 end as blood_loss_anemia +, case when anemdrg = 1 then 0 when anemdef = 1 then 1 else 0 end as deficiency_anemias +, case when alcdrg = 1 then 0 when alcohol = 1 then 1 else 0 end as alcohol_abuse +, case when alcdrg = 1 then 0 when drug = 1 then 1 else 0 end as drug_abuse +, case when psydrg = 1 then 0 when psych = 1 then 1 else 0 end as psychoses +, case when deprsdrg = 1 then 0 when depress = 1 then 1 else 0 end as depression + +from admissions adm +left join eligrp eli + on adm.hadm_id = eli.hadm_id +left join drggrp d + on adm.hadm_id = d.hadm_id +order by adm.hadm_id; \ No newline at end of file diff --git a/mimic-iii-carevue/code/concepts/16_elixhauser_ahrq_v37_no_drg.sql b/mimic-iii-carevue/code/concepts/16_elixhauser_ahrq_v37_no_drg.sql new file mode 100644 index 000000000..204921922 --- /dev/null +++ b/mimic-iii-carevue/code/concepts/16_elixhauser_ahrq_v37_no_drg.sql @@ -0,0 +1,522 @@ +drop table if exists elixhauser_ahrq_v37_no_drg; create table elixhauser_ahrq_v37_no_drg as +-- This code uses the latest version of Elixhauser provided by AHRQ +-- However, it does *not* filter based on diagnosis related groups (DRGs) +-- As such, "comorbidities" identified are more likely to be associated with the primary reason for their hospital stay + +-- The code: +-- removes "primary" ICD9_CODE (seq_num != 1) +-- uses AHRQ published rules to define comorbidities +with +eliflg as +( +select hadm_id, seq_num, icd9_code +-- note that these codes will seem incomplete at first +-- for example, CHF is missing a lot of codes referenced in the literature (402.11, 402.91, etc) +-- these codes are captured by hypertension flags instead +-- later there are some complicated rules which confirm/reject those codes as chf +, case + when icd9_code = '39891' then 1 + when icd9_code between '4280' and '4289' then 1 + end as chf /* Congestive heart failure */ + +-- cardiac arrhythmias is removed in up to date versions +, case + when icd9_code = '42610' then 1 + when icd9_code = '42611' then 1 + when icd9_code = '42613' then 1 + when icd9_code between '4262' and '42653' then 1 + when icd9_code between '4266' and '42689' then 1 + when icd9_code = '4270' then 1 + when icd9_code = '4272' then 1 + when icd9_code = '42731' then 1 + when icd9_code = '42760' then 1 + when icd9_code = '4279' then 1 + when icd9_code = '7850' then 1 + when icd9_code between 'V450' and 'V4509' then 1 + when icd9_code between 'V533' and 'V5339' then 1 + end as arythm /* Cardiac arrhythmias */ + +, case + when icd9_code between '09320' and '09324' then 1 + when icd9_code between '3940' and '3971' then 1 + when icd9_code = '3979' then 1 + when icd9_code between '4240' and '42499' then 1 + when icd9_code between '7463' and '7466' then 1 + when icd9_code = 'V422' then 1 + when icd9_code = 'V433' then 1 + end as valve /* Valvular disease */ + +, case + when icd9_code between '41511' and '41519' then 1 + when icd9_code between '4160' and '4169' then 1 + when icd9_code = '4179' then 1 + end as pulmcirc /* Pulmonary circulation disorder */ + +, case + when icd9_code between '4400' and '4409' then 1 + when icd9_code between '44100' and '4419' then 1 + when icd9_code between '4420' and '4429' then 1 + when icd9_code between '4431' and '4439' then 1 + when icd9_code between '44421' and '44422' then 1 + when icd9_code = '4471' then 1 + when icd9_code = '449' then 1 + when icd9_code = '5571' then 1 + when icd9_code = '5579' then 1 + when icd9_code = 'V434' then 1 + end as perivasc /* Peripheral vascular disorder */ + +, case + when icd9_code = '4011' then 1 + when icd9_code = '4019' then 1 + when icd9_code between '64200' and '64204' then 1 + end as htn /* Hypertension, uncomplicated */ + +, case + when icd9_code = '4010' then 1 + when icd9_code = '4372' then 1 + end as htncx /* Hypertension, complicated */ + + + /******************************************************************/ + /* The following are special, temporary formats used in the */ + /* creation of the hypertension complicated comorbidity when */ + /* overlapping with congestive heart failure or renal failure */ + /* occurs. These temporary formats are referenced in the program */ + /* called comoanaly2009.txt. */ + /******************************************************************/ +, case + when icd9_code between '64220' and '64224' then 1 + end as htnpreg /* Pre-existing hypertension complicating pregnancy */ + +, case + when icd9_code = '40200' then 1 + when icd9_code = '40210' then 1 + when icd9_code = '40290' then 1 + when icd9_code = '40509' then 1 + when icd9_code = '40519' then 1 + when icd9_code = '40599' then 1 + end as htnwochf /* Hypertensive heart disease without heart failure */ + +, case + when icd9_code = '40201' then 1 + when icd9_code = '40211' then 1 + when icd9_code = '40291' then 1 + end as htnwchf /* Hypertensive heart disease with heart failure */ + +, case + when icd9_code = '40300' then 1 + when icd9_code = '40310' then 1 + when icd9_code = '40390' then 1 + when icd9_code = '40501' then 1 + when icd9_code = '40511' then 1 + when icd9_code = '40591' then 1 + when icd9_code between '64210' and '64214' then 1 + end as hrenworf /* Hypertensive renal disease without renal failure */ + +, case + when icd9_code = '40301' then 1 + when icd9_code = '40311' then 1 + when icd9_code = '40391' then 1 + end as hrenwrf /* Hypertensive renal disease with renal failure */ + +, case + when icd9_code = '40400' then 1 + when icd9_code = '40410' then 1 + when icd9_code = '40490' then 1 + end as hhrwohrf /* Hypertensive heart and renal disease without heart or renal failure */ + +, case + when icd9_code = '40401' then 1 + when icd9_code = '40411' then 1 + when icd9_code = '40491' then 1 + end as hhrwchf /* Hypertensive heart and renal disease with heart failure */ + +, case + when icd9_code = '40402' then 1 + when icd9_code = '40412' then 1 + when icd9_code = '40492' then 1 + end as hhrwrf /* Hypertensive heart and renal disease with renal failure */ + +, case + when icd9_code = '40403' then 1 + when icd9_code = '40413' then 1 + when icd9_code = '40493' then 1 + end as hhrwhrf /* Hypertensive heart and renal disease with heart and renal failure */ + +, case + when icd9_code between '64270' and '64274' then 1 + when icd9_code between '64290' and '64294' then 1 + end as ohtnpreg /* Other hypertension in pregnancy */ + + /******************** End Temporary Formats ***********************/ + +, case + when icd9_code between '3420' and '3449' then 1 + when icd9_code between '43820' and '43853' then 1 + when icd9_code = '78072' then 1 + end as para /* Paralysis */ + +, case + when icd9_code between '3300' and '3319' then 1 + when icd9_code = '3320' then 1 + when icd9_code = '3334' then 1 + when icd9_code = '3335' then 1 + when icd9_code = '3337' then 1 + when icd9_code in ('33371','33372','33379','33385','33394') then 1 + when icd9_code between '3340' and '3359' then 1 + when icd9_code = '3380' then 1 + when icd9_code = '340' then 1 + when icd9_code between '3411' and '3419' then 1 + when icd9_code between '34500' and '34511' then 1 + when icd9_code between '3452' and '3453' then 1 + when icd9_code between '34540' and '34591' then 1 + when icd9_code between '34700' and '34701' then 1 + when icd9_code between '34710' and '34711' then 1 + when icd9_code = '3483' then 1 -- discontinued icd-9 + when icd9_code between '64940' and '64944' then 1 + when icd9_code = '7687' then 1 + when icd9_code between '76870' and '76873' then 1 + when icd9_code = '7803' then 1 + when icd9_code = '78031' then 1 + when icd9_code = '78032' then 1 + when icd9_code = '78033' then 1 + when icd9_code = '78039' then 1 + when icd9_code = '78097' then 1 + when icd9_code = '7843' then 1 + end as neuro /* Other neurological */ + +, case + when icd9_code between '490' and '4928' then 1 + when icd9_code between '49300' and '49392' then 1 + when icd9_code between '494' and '4941' then 1 + when icd9_code between '4950' and '505' then 1 + when icd9_code = '5064' then 1 + end as chrnlung /* Chronic pulmonary disease */ + +, case + when icd9_code between '25000' and '25033' then 1 + when icd9_code between '64800' and '64804' then 1 + when icd9_code between '24900' and '24931' then 1 + end as dm /* Diabetes w/o chronic complications*/ + +, case + when icd9_code between '25040' and '25093' then 1 + when icd9_code = '7751' then 1 + when icd9_code between '24940' and '24991' then 1 + end as dmcx /* Diabetes w/ chronic complications */ + +, case + when icd9_code between '243' and '2442' then 1 + when icd9_code = '2448' then 1 + when icd9_code = '2449' then 1 + end as hypothy /* Hypothyroidism */ + +, case + when icd9_code = '585' then 1 -- discontinued code + when icd9_code = '5853' then 1 + when icd9_code = '5854' then 1 + when icd9_code = '5855' then 1 + when icd9_code = '5856' then 1 + when icd9_code = '5859' then 1 + when icd9_code = '586' then 1 + when icd9_code = 'V420' then 1 + when icd9_code = 'V451' then 1 + when icd9_code between 'V560' and 'V5632' then 1 + when icd9_code = 'V568' then 1 + when icd9_code between 'V4511' and 'V4512' then 1 + end as renlfail /* Renal failure */ + +, case + when icd9_code = '07022' then 1 + when icd9_code = '07023' then 1 + when icd9_code = '07032' then 1 + when icd9_code = '07033' then 1 + when icd9_code = '07044' then 1 + when icd9_code = '07054' then 1 + when icd9_code = '4560' then 1 + when icd9_code = '4561' then 1 + when icd9_code = '45620' then 1 + when icd9_code = '45621' then 1 + when icd9_code = '5710' then 1 + when icd9_code = '5712' then 1 + when icd9_code = '5713' then 1 + when icd9_code between '57140' and '57149' then 1 + when icd9_code = '5715' then 1 + when icd9_code = '5716' then 1 + when icd9_code = '5718' then 1 + when icd9_code = '5719' then 1 + when icd9_code = '5723' then 1 + when icd9_code = '5728' then 1 + when icd9_code = '5735' then 1 + when icd9_code = 'V427' then 1 + end as liver /* Liver disease */ + +, case + when icd9_code = '53141' then 1 + when icd9_code = '53151' then 1 + when icd9_code = '53161' then 1 + when icd9_code = '53170' then 1 + when icd9_code = '53171' then 1 + when icd9_code = '53191' then 1 + when icd9_code = '53241' then 1 + when icd9_code = '53251' then 1 + when icd9_code = '53261' then 1 + when icd9_code = '53270' then 1 + when icd9_code = '53271' then 1 + when icd9_code = '53291' then 1 + when icd9_code = '53341' then 1 + when icd9_code = '53351' then 1 + when icd9_code = '53361' then 1 + when icd9_code = '53370' then 1 + when icd9_code = '53371' then 1 + when icd9_code = '53391' then 1 + when icd9_code = '53441' then 1 + when icd9_code = '53451' then 1 + when icd9_code = '53461' then 1 + when icd9_code = '53470' then 1 + when icd9_code = '53471' then 1 + when icd9_code = '53491' then 1 + end as ulcer /* Chronic Peptic ulcer disease (includes bleeding only if obstruction is also present) */ + +, case + when icd9_code between '042' and '0449' then 1 + end as aids /* HIV and AIDS */ + +, case + when icd9_code between '20000' and '20238' then 1 + when icd9_code between '20250' and '20301' then 1 + when icd9_code = '2386' then 1 + when icd9_code = '2733' then 1 + when icd9_code between '20302' and '20382' then 1 + end as lymph /* Lymphoma */ + +, case + when icd9_code between '1960' and '1991' then 1 + when icd9_code between '20970' and '20975' then 1 + when icd9_code = '20979' then 1 + when icd9_code = '78951' then 1 + end as mets /* Metastatic cancer */ + +, case + when icd9_code between '1400' and '1729' then 1 + when icd9_code between '1740' and '1759' then 1 + when icd9_code between '179' and '1958' then 1 + when icd9_code between '20900' and '20924' then 1 + when icd9_code between '20925' and '2093' then 1 + when icd9_code between '20930' and '20936' then 1 + when icd9_code between '25801' and '25803' then 1 + end as tumor /* Solid tumor without metastasis */ + +, case + when icd9_code = '7010' then 1 + when icd9_code between '7100' and '7109' then 1 + when icd9_code between '7140' and '7149' then 1 + when icd9_code between '7200' and '7209' then 1 + when icd9_code = '725' then 1 + end as arth /* Rheumatoid arthritis/collagen vascular diseases */ + +, case + when icd9_code between '2860' and '2869' then 1 + when icd9_code = '2871' then 1 + when icd9_code between '2873' and '2875' then 1 + when icd9_code between '64930' and '64934' then 1 + when icd9_code = '28984' then 1 + end as coag /* Coagulation deficiency */ + +, case + when icd9_code = '2780' then 1 + when icd9_code = '27800' then 1 + when icd9_code = '27801' then 1 + when icd9_code = '27803' then 1 + when icd9_code between '64910' and '64914' then 1 + when icd9_code between 'V8530' and 'V8539' then 1 + when icd9_code = 'V854' then 1 -- hierarchy used for AHRQ v3.6 and earlier + when icd9_code between 'V8541' and 'V8545' then 1 + when icd9_code = 'V8554' then 1 + when icd9_code = '79391' then 1 + end as obese /* Obesity */ + +, case + when icd9_code between '260' and '2639' then 1 + when icd9_code between '78321' and '78322' then 1 + end as wghtloss /* Weight loss */ + +, case + when icd9_code between '2760' and '2769' then 1 + end as lytes /* Fluid and electrolyte disorders - note: + this comorbidity should be dropped when + used with the AHRQ Patient Safety Indicators*/ +, case + when icd9_code = '2800' then 1 + when icd9_code between '64820' and '64824' then 1 + end as bldloss /* Blood loss anemia */ + +, case + when icd9_code between '2801' and '2819' then 1 + when icd9_code between '28521' and '28529' then 1 + when icd9_code = '2859' then 1 + end as anemdef /* Deficiency anemias */ + +, case + when icd9_code between '2910' and '2913' then 1 + when icd9_code = '2915' then 1 + when icd9_code = '2918' then 1 + when icd9_code = '29181' then 1 + when icd9_code = '29182' then 1 + when icd9_code = '29189' then 1 + when icd9_code = '2919' then 1 + when icd9_code between '30300' and '30393' then 1 + when icd9_code between '30500' and '30503' then 1 + end as alcohol /* Alcohol abuse */ + +, case + when icd9_code = '2920' then 1 + when icd9_code between '29282' and '29289' then 1 + when icd9_code = '2929' then 1 + when icd9_code between '30400' and '30493' then 1 + when icd9_code between '30520' and '30593' then 1 + when icd9_code between '64830' and '64834' then 1 + end as drug /* Drug abuse */ + +, case + when icd9_code between '29500' and '2989' then 1 + when icd9_code = '29910' then 1 + when icd9_code = '29911' then 1 + end as psych /* Psychoses */ + +, case + when icd9_code = '3004' then 1 + when icd9_code = '30112' then 1 + when icd9_code = '3090' then 1 + when icd9_code = '3091' then 1 + when icd9_code = '311' then 1 + end as depress /* Depression */ +from diagnoses_icd icd +where seq_num = 1 +) +-- collapse the icd9_code specific flags into hadm_id specific flags +-- this groups comorbidities together for a single patient admission +, eligrp as +( + select hadm_id + , max(chf) as chf + , max(arythm) as arythm + , max(valve) as valve + , max(pulmcirc) as pulmcirc + , max(perivasc) as perivasc + , max(htn) as htn + , max(htncx) as htncx + , max(htnpreg) as htnpreg + , max(htnwochf) as htnwochf + , max(htnwchf) as htnwchf + , max(hrenworf) as hrenworf + , max(hrenwrf) as hrenwrf + , max(hhrwohrf) as hhrwohrf + , max(hhrwchf) as hhrwchf + , max(hhrwrf) as hhrwrf + , max(hhrwhrf) as hhrwhrf + , max(ohtnpreg) as ohtnpreg + , max(para) as para + , max(neuro) as neuro + , max(chrnlung) as chrnlung + , max(dm) as dm + , max(dmcx) as dmcx + , max(hypothy) as hypothy + , max(renlfail) as renlfail + , max(liver) as liver + , max(ulcer) as ulcer + , max(aids) as aids + , max(lymph) as lymph + , max(mets) as mets + , max(tumor) as tumor + , max(arth) as arth + , max(coag) as coag + , max(obese) as obese + , max(wghtloss) as wghtloss + , max(lytes) as lytes + , max(bldloss) as bldloss + , max(anemdef) as anemdef + , max(alcohol) as alcohol + , max(drug) as drug + , max(psych) as psych + , max(depress) as depress +from eliflg +group by hadm_id +) +-- now merge these flags together to define elixhauser +-- most are straightforward.. but hypertension flags are a bit more complicated +select adm.subject_id, adm.hadm_id +, case + when chf = 1 then 1 + when htnwchf = 1 then 1 + when hhrwchf = 1 then 1 + when hhrwhrf = 1 then 1 + else 0 end as congestive_heart_failure +, case + when arythm = 1 then 1 + else 0 end as cardiac_arrhythmias +, case when valve = 1 then 1 else 0 end as valvular_disease +, case when pulmcirc = 1 then 1 else 0 end as pulmonary_circulation +, case when perivasc = 1 then 1 else 0 end as peripheral_vascular + +-- we combine "htn" and "htncx" into "HYPERTENSION" +-- note "htn" (hypertension) is only 1 if "htncx" (complicated hypertension) is 0 +-- this matters if you filter on DRG but for this query we can just merge them immediately +, case + when htn = 1 then 1 + when htncx = 1 then 1 + when htnpreg = 1 then 1 + when htnwochf = 1 then 1 + when htnwchf = 1 then 1 + when hrenworf = 1 then 1 + when hrenwrf = 1 then 1 + when hhrwohrf = 1 then 1 + when hhrwchf = 1 then 1 + when hhrwrf = 1 then 1 + when hhrwhrf = 1 then 1 + when ohtnpreg = 1 then 1 + else 0 end as hypertension + +, case when para = 1 then 1 else 0 end as paralysis +, case when neuro = 1 then 1 else 0 end as other_neurological +, case when chrnlung = 1 then 1 else 0 end as chronic_pulmonary +, case + -- only the more severe comorbidity (complicated diabetes) is kept + when dmcx = 1 then 0 + when dm = 1 then 1 + else 0 end as diabetes_uncomplicated +, case when dmcx = 1 then 1 else 0 end as diabetes_complicated +, case when hypothy = 1 then 1 else 0 end as hypothyroidism +, case + when renlfail = 1 then 1 + when hrenwrf = 1 then 1 + when hhrwrf = 1 then 1 + when hhrwhrf = 1 then 1 + else 0 end as renal_failure + +, case when liver = 1 then 1 else 0 end as liver_disease +, case when ulcer = 1 then 1 else 0 end as peptic_ulcer +, case when aids = 1 then 1 else 0 end as aids +, case when lymph = 1 then 1 else 0 end as lymphoma +, case when mets = 1 then 1 else 0 end as metastatic_cancer +, case + -- only the more severe comorbidity (metastatic cancer) is kept + when mets = 1 then 0 + when tumor = 1 then 1 + else 0 end as solid_tumor +, case when arth = 1 then 1 else 0 end as rheumatoid_arthritis +, case when coag = 1 then 1 else 0 end as coagulopathy +, case when obese = 1 then 1 else 0 end as obesity +, case when wghtloss = 1 then 1 else 0 end as weight_loss +, case when lytes = 1 then 1 else 0 end as fluid_electrolyte +, case when bldloss = 1 then 1 else 0 end as blood_loss_anemia +, case when anemdef = 1 then 1 else 0 end as deficiency_anemias +, case when alcohol = 1 then 1 else 0 end as alcohol_abuse +, case when drug = 1 then 1 else 0 end as drug_abuse +, case when psych = 1 then 1 else 0 end as psychoses +, case when depress = 1 then 1 else 0 end as depression + +from admissions adm +left join eligrp eli + on adm.hadm_id = eli.hadm_id +order by adm.hadm_id; \ No newline at end of file diff --git a/mimic-iii-carevue/code/concepts/17_elixhauser_quan.sql b/mimic-iii-carevue/code/concepts/17_elixhauser_quan.sql new file mode 100644 index 000000000..1f67db01c --- /dev/null +++ b/mimic-iii-carevue/code/concepts/17_elixhauser_quan.sql @@ -0,0 +1,271 @@ +drop table if exists elixhauser_quan; create table elixhauser_quan as +-- This code calculates the Elixhauser comorbidities as defined in Quan et. al 2009: +-- Quan, Hude, et al. "Coding algorithms for defining comorbidities in +-- ICD-9-CM and ICD-10 administrative data." Medical care (2005): 1130-1139. +-- https://www.ncbi.nlm.nih.gov/pubmed/16224307 + +-- Quan defined an "Enhanced ICD-9" coding scheme for deriving Elixhauser +-- comorbidities from ICD-9 billing codes. This script implements that calculation. + +-- The logic of the code is roughly that, if the comorbidity lists a length 3 +-- ICD-9 code (e.g. 585), then we only require a match on the first 3 characters. + +-- This code derives each comorbidity as follows: +-- 1) ICD9_CODE is directly compared to 5 character codes +-- 2) The first 4 characters of ICD9_CODE are compared to 4 character codes +-- 3) The first 3 characters of ICD9_CODE are compared to 3 character codes +with eliflg as +( +select hadm_id, seq_num, icd9_code +, case + when icd9_code in ('39891','40201','40211','40291','40401','40403','40411','40413','40491','40493') then 1 + when substr(icd9_code, 1, 4) in ('4254','4255','4257','4258','4259') then 1 + when substr(icd9_code, 1, 3) in ('428') then 1 + else 0 end as chf /* Congestive heart failure */ + +, case + when icd9_code in ('42613','42610','42612','99601','99604') then 1 + when substr(icd9_code, 1, 4) in ('4260','4267','4269','4270','4271','4272','4273','4274','4276','4278','4279','7850','V450','V533') then 1 + else 0 end as arrhy + +, case + when substr(icd9_code, 1, 4) in ('0932','7463','7464','7465','7466','V422','V433') then 1 + when substr(icd9_code, 1, 3) in ('394','395','396','397','424') then 1 + else 0 end as valve /* Valvular disease */ + +, case + when substr(icd9_code, 1, 4) in ('4150','4151','4170','4178','4179') then 1 + when substr(icd9_code, 1, 3) in ('416') then 1 + else 0 end as pulmcirc /* Pulmonary circulation disorder */ + +, case + when substr(icd9_code, 1, 4) in ('0930','4373','4431','4432','4438','4439','4471','5571','5579','V434') then 1 + when substr(icd9_code, 1, 3) in ('440','441') then 1 + else 0 end as perivasc /* Peripheral vascular disorder */ + +, case + when substr(icd9_code, 1, 3) in ('401') then 1 + else 0 end as htn /* Hypertension, uncomplicated */ + +, case + when substr(icd9_code, 1, 3) in ('402','403','404','405') then 1 + else 0 end as htncx /* Hypertension, complicated */ + +, case + when substr(icd9_code, 1, 4) in ('3341','3440','3441','3442','3443','3444','3445','3446','3449') then 1 + when substr(icd9_code, 1, 3) in ('342','343') then 1 + else 0 end as para /* Paralysis */ + +, case + when icd9_code in ('33392') then 1 + when substr(icd9_code, 1, 4) in ('3319','3320','3321','3334','3335','3362','3481','3483','7803','7843') then 1 + when substr(icd9_code, 1, 3) in ('334','335','340','341','345') then 1 + else 0 end as neuro /* Other neurological */ + +, case + when substr(icd9_code, 1, 4) in ('4168','4169','5064','5081','5088') then 1 + when substr(icd9_code, 1, 3) in ('490','491','492','493','494','495','496','500','501','502','503','504','505') then 1 + else 0 end as chrnlung /* Chronic pulmonary disease */ + +, case + when substr(icd9_code, 1, 4) in ('2500','2501','2502','2503') then 1 + else 0 end as dm /* Diabetes w/o chronic complications*/ + +, case + when substr(icd9_code, 1, 4) in ('2504','2505','2506','2507','2508','2509') then 1 + else 0 end as dmcx /* Diabetes w/ chronic complications */ + +, case + when substr(icd9_code, 1, 4) in ('2409','2461','2468') then 1 + when substr(icd9_code, 1, 3) in ('243','244') then 1 + else 0 end as hypothy /* Hypothyroidism */ + +, case + when icd9_code in ('40301','40311','40391','40402','40403','40412','40413','40492','40493') then 1 + when substr(icd9_code, 1, 4) in ('5880','V420','V451') then 1 + when substr(icd9_code, 1, 3) in ('585','586','V56') then 1 + else 0 end as renlfail /* Renal failure */ + +, case + when icd9_code in ('07022','07023','07032','07033','07044','07054') then 1 + when substr(icd9_code, 1, 4) in ('0706','0709','4560','4561','4562','5722','5723','5724','5728','5733','5734','5738','5739','V427') then 1 + when substr(icd9_code, 1, 3) in ('570','571') then 1 + else 0 end as liver /* Liver disease */ + +, case + when substr(icd9_code, 1, 4) in ('5317','5319','5327','5329','5337','5339','5347','5349') then 1 + else 0 end as ulcer /* Chronic Peptic ulcer disease (includes bleeding only if obstruction is also present) */ + +, case + when substr(icd9_code, 1, 3) in ('042','043','044') then 1 + else 0 end as aids /* HIV and AIDS */ + +, case + when substr(icd9_code, 1, 4) in ('2030','2386') then 1 + when substr(icd9_code, 1, 3) in ('200','201','202') then 1 + else 0 end as lymph /* Lymphoma */ + +, case + when substr(icd9_code, 1, 3) in ('196','197','198','199') then 1 + else 0 end as mets /* Metastatic cancer */ + +, case + when substr(icd9_code, 1, 3) in + ( + '140','141','142','143','144','145','146','147','148','149','150','151','152' + ,'153','154','155','156','157','158','159','160','161','162','163','164','165' + ,'166','167','168','169','170','171','172','174','175','176','177','178','179' + ,'180','181','182','183','184','185','186','187','188','189','190','191','192' + ,'193','194','195' + ) then 1 + else 0 end as tumor /* Solid tumor without metastasis */ + +, case + when icd9_code in ('72889','72930') then 1 + when substr(icd9_code, 1, 4) in ('7010','7100','7101','7102','7103','7104','7108','7109','7112','7193','7285') then 1 + when substr(icd9_code, 1, 3) in ('446','714','720','725') then 1 + else 0 end as arth /* Rheumatoid arthritis/collagen vascular diseases */ + +, case + when substr(icd9_code, 1, 4) in ('2871','2873','2874','2875') then 1 + when substr(icd9_code, 1, 3) in ('286') then 1 + else 0 end as coag /* Coagulation deficiency */ + +, case + when substr(icd9_code, 1, 4) in ('2780') then 1 + else 0 end as obese /* Obesity */ + +, case + when substr(icd9_code, 1, 4) in ('7832','7994') then 1 + when substr(icd9_code, 1, 3) in ('260','261','262','263') then 1 + else 0 end as wghtloss /* Weight loss */ + +, case + when substr(icd9_code, 1, 4) in ('2536') then 1 + when substr(icd9_code, 1, 3) in ('276') then 1 + else 0 end as lytes /* Fluid and electrolyte disorders */ + +, case + when substr(icd9_code, 1, 4) in ('2800') then 1 + else 0 end as bldloss /* Blood loss anemia */ + +, case + when substr(icd9_code, 1, 4) in ('2801','2808','2809') then 1 + when substr(icd9_code, 1, 3) in ('281') then 1 + else 0 end as anemdef /* Deficiency anemias */ + +, case + when substr(icd9_code, 1, 4) in ('2652','2911','2912','2913','2915','2918','2919','3030','3039','3050','3575','4255','5353','5710','5711','5712','5713','V113') then 1 + when substr(icd9_code, 1, 3) in ('980') then 1 + else 0 end as alcohol /* Alcohol abuse */ + +, case + when icd9_code in ('V6542') then 1 + when substr(icd9_code, 1, 4) in ('3052','3053','3054','3055','3056','3057','3058','3059') then 1 + when substr(icd9_code, 1, 3) in ('292','304') then 1 + else 0 end as drug /* Drug abuse */ + +, case + when icd9_code in ('29604','29614','29644','29654') then 1 + when substr(icd9_code, 1, 4) in ('2938') then 1 + when substr(icd9_code, 1, 3) in ('295','297','298') then 1 + else 0 end as psych /* Psychoses */ + +, case + when substr(icd9_code, 1, 4) in ('2962','2963','2965','3004') then 1 + when substr(icd9_code, 1, 3) in ('309','311') then 1 + else 0 end as depress /* Depression */ +from diagnoses_icd icd +where seq_num != 1 -- we do not include the primary icd-9 code +) +-- collapse the icd9_code specific flags into hadm_id specific flags +-- this groups comorbidities together for a single patient admission +, eligrp as +( + select hadm_id + , max(chf) as chf + , max(arrhy) as arrhy + , max(valve) as valve + , max(pulmcirc) as pulmcirc + , max(perivasc) as perivasc + , max(htn) as htn + , max(htncx) as htncx + , max(para) as para + , max(neuro) as neuro + , max(chrnlung) as chrnlung + , max(dm) as dm + , max(dmcx) as dmcx + , max(hypothy) as hypothy + , max(renlfail) as renlfail + , max(liver) as liver + , max(ulcer) as ulcer + , max(aids) as aids + , max(lymph) as lymph + , max(mets) as mets + , max(tumor) as tumor + , max(arth) as arth + , max(coag) as coag + , max(obese) as obese + , max(wghtloss) as wghtloss + , max(lytes) as lytes + , max(bldloss) as bldloss + , max(anemdef) as anemdef + , max(alcohol) as alcohol + , max(drug) as drug + , max(psych) as psych + , max(depress) as depress +from eliflg +group by hadm_id +) +-- now merge these flags together to define elixhauser +-- most are straightforward.. but hypertension flags are a bit more complicated + + +select adm.hadm_id +, chf as congestive_heart_failure +, arrhy as cardiac_arrhythmias +, valve as valvular_disease +, pulmcirc as pulmonary_circulation +, perivasc as peripheral_vascular +-- we combine "htn" and "htncx" into "HYPERTENSION" +, case + when htn = 1 then 1 + when htncx = 1 then 1 + else 0 end as hypertension +, para as paralysis +, neuro as other_neurological +, chrnlung as chronic_pulmonary +-- only the more severe comorbidity (complicated diabetes) is kept +, case + when dmcx = 1 then 0 + when dm = 1 then 1 + else 0 end as diabetes_uncomplicated +, dmcx as diabetes_complicated +, hypothy as hypothyroidism +, renlfail as renal_failure +, liver as liver_disease +, ulcer as peptic_ulcer +, aids as aids +, lymph as lymphoma +, mets as metastatic_cancer +-- only the more severe comorbidity (metastatic cancer) is kept +, case + when mets = 1 then 0 + when tumor = 1 then 1 + else 0 end as solid_tumor +, arth as rheumatoid_arthritis +, coag as coagulopathy +, obese as obesity +, wghtloss as weight_loss +, lytes as fluid_electrolyte +, bldloss as blood_loss_anemia +, anemdef as deficiency_anemias +, alcohol as alcohol_abuse +, drug as drug_abuse +, psych as psychoses +, depress as depression + +from admissions adm +left join eligrp eli + on adm.hadm_id = eli.hadm_id +order by adm.hadm_id; \ No newline at end of file diff --git a/mimic-iii-carevue/code/concepts/18_elixhauser_score_ahrq.sql b/mimic-iii-carevue/code/concepts/18_elixhauser_score_ahrq.sql new file mode 100644 index 000000000..4258cbc17 --- /dev/null +++ b/mimic-iii-carevue/code/concepts/18_elixhauser_score_ahrq.sql @@ -0,0 +1,107 @@ +drop table if exists elixhauser_score_ahrq; create table elixhauser_score_ahrq as +-- This query provides various methods of combining the Elixhauser components into a single score +-- The methods are called "vanWalRaven" and "SID30", and "SID29" +select subject_id, hadm_id +, -- Below is the van Walraven score + 0 * aids + + 0 * alcohol_abuse + + -2 * blood_loss_anemia + + 7 * congestive_heart_failure + + -- Cardiac arrhythmias are not included in van Walraven based on Quan 2007 + 3 * chronic_pulmonary + + 3 * coagulopathy + + -2 * deficiency_anemias + + -3 * depression + + 0 * diabetes_complicated + + 0 * diabetes_uncomplicated + + -7 * drug_abuse + + 5 * fluid_electrolyte + + 0 * hypertension + + 0 * hypothyroidism + + 11 * liver_disease + + 9 * lymphoma + + 12 * metastatic_cancer + + 6 * other_neurological + + -4 * obesity + + 7 * paralysis + + 2 * peripheral_vascular + + 0 * peptic_ulcer + + 0 * psychoses + + 4 * pulmonary_circulation + + 0 * rheumatoid_arthritis + + 5 * renal_failure + + 4 * solid_tumor + + -1 * valvular_disease + + 6 * weight_loss +as elixhauser_vanwalraven + + + +, -- Below is the 29 component SID score + 0 * aids + + -2 * alcohol_abuse + + -2 * blood_loss_anemia + + -- Cardiac arrhythmias are not included in SID-29 + 9 * congestive_heart_failure + + 3 * chronic_pulmonary + + 9 * coagulopathy + + 0 * deficiency_anemias + + -4 * depression + + 0 * diabetes_complicated + + -1 * diabetes_uncomplicated + + -8 * drug_abuse + + 9 * fluid_electrolyte + + -1 * hypertension + + 0 * hypothyroidism + + 5 * liver_disease + + 6 * lymphoma + + 13 * metastatic_cancer + + 4 * other_neurological + + -4 * obesity + + 3 * paralysis + + 0 * peptic_ulcer + + 4 * peripheral_vascular + + -4 * psychoses + + 5 * pulmonary_circulation + + 6 * renal_failure + + 0 * rheumatoid_arthritis + + 8 * solid_tumor + + 0 * valvular_disease + + 8 * weight_loss +as elixhauser_SID29 + + +, -- Below is the 30 component SID score + 0 * aids + + 0 * alcohol_abuse + + -3 * blood_loss_anemia + + 8 * cardiac_arrhythmias + + 9 * congestive_heart_failure + + 3 * chronic_pulmonary + + 12 * coagulopathy + + 0 * deficiency_anemias + + -5 * depression + + 1 * diabetes_complicated + + 0 * diabetes_uncomplicated + + -11 * drug_abuse + + 11 * fluid_electrolyte + + -2 * hypertension + + 0 * hypothyroidism + + 7 * liver_disease + + 8 * lymphoma + + 17 * metastatic_cancer + + 5 * other_neurological + + -5 * obesity + + 4 * paralysis + + 0 * peptic_ulcer + + 4 * peripheral_vascular + + -6 * psychoses + + 5 * pulmonary_circulation + + 7 * renal_failure + + 0 * rheumatoid_arthritis + + 10 * solid_tumor + + 0 * valvular_disease + + 10 * weight_loss +as elixhauser_sid30 + +from elixhauser_ahrq_v37; \ No newline at end of file diff --git a/mimic-iii-carevue/code/concepts/19_elixhauser_score_quan.sql b/mimic-iii-carevue/code/concepts/19_elixhauser_score_quan.sql new file mode 100644 index 000000000..b0d506284 --- /dev/null +++ b/mimic-iii-carevue/code/concepts/19_elixhauser_score_quan.sql @@ -0,0 +1,108 @@ +drop table if exists elixhauser_score_quan; create table elixhauser_score_quan as +-- This query provides various methods of combining the Elixhauser components into a single score +-- The methods are called "vanWalRaven" and "SID30", and "SID29" + +select hadm_id +, -- Below is the van Walraven score + 0 * aids + + 0 * alcohol_abuse + + -2 * blood_loss_anemia + + 7 * congestive_heart_failure + + -- Cardiac arrhythmias are not included in van Walraven based on Quan 2007 + 3 * chronic_pulmonary + + 3 * coagulopathy + + -2 * deficiency_anemias + + -3 * depression + + 0 * diabetes_complicated + + 0 * diabetes_uncomplicated + + -7 * drug_abuse + + 5 * fluid_electrolyte + + 0 * hypertension + + 0 * hypothyroidism + + 11 * liver_disease + + 9 * lymphoma + + 12 * metastatic_cancer + + 6 * other_neurological + + -4 * obesity + + 7 * paralysis + + 2 * peripheral_vascular + + 0 * peptic_ulcer + + 0 * psychoses + + 4 * pulmonary_circulation + + 0 * rheumatoid_arthritis + + 5 * renal_failure + + 4 * solid_tumor + + -1 * valvular_disease + + 6 * weight_loss +as elixhauser_vanwalraven + + + +, -- Below is the 29 component SID score + 0 * aids + + -2 * alcohol_abuse + + -2 * blood_loss_anemia + + -- Cardiac arrhythmias are not included in SID-29 + 9 * congestive_heart_failure + + 3 * chronic_pulmonary + + 9 * coagulopathy + + 0 * deficiency_anemias + + -4 * depression + + 0 * diabetes_complicated + + -1 * diabetes_uncomplicated + + -8 * drug_abuse + + 9 * fluid_electrolyte + + -1 * hypertension + + 0 * hypothyroidism + + 5 * liver_disease + + 6 * lymphoma + + 13 * metastatic_cancer + + 4 * other_neurological + + -4 * obesity + + 3 * paralysis + + 0 * peptic_ulcer + + 4 * peripheral_vascular + + -4 * psychoses + + 5 * pulmonary_circulation + + 6 * renal_failure + + 0 * rheumatoid_arthritis + + 8 * solid_tumor + + 0 * valvular_disease + + 8 * weight_loss +as elixhauser_SID29 + + +, -- Below is the 30 component SID score + 0 * aids + + 0 * alcohol_abuse + + -3 * blood_loss_anemia + + 8 * cardiac_arrhythmias + + 9 * congestive_heart_failure + + 3 * chronic_pulmonary + + 12 * coagulopathy + + 0 * deficiency_anemias + + -5 * depression + + 1 * diabetes_complicated + + 0 * diabetes_uncomplicated + + -11 * drug_abuse + + 11 * fluid_electrolyte + + -2 * hypertension + + 0 * hypothyroidism + + 7 * liver_disease + + 8 * lymphoma + + 17 * metastatic_cancer + + 5 * other_neurological + + -5 * obesity + + 4 * paralysis + + 0 * peptic_ulcer + + 4 * peripheral_vascular + + -6 * psychoses + + 5 * pulmonary_circulation + + 7 * renal_failure + + 0 * rheumatoid_arthritis + + 10 * solid_tumor + + 0 * valvular_disease + + 10 * weight_loss +as elixhauser_sid30 + +from elixhauser_quan; \ No newline at end of file diff --git a/mimic-iii-carevue/code/concepts/20_icustay_detail.sql b/mimic-iii-carevue/code/concepts/20_icustay_detail.sql new file mode 100644 index 000000000..6c679dc00 --- /dev/null +++ b/mimic-iii-carevue/code/concepts/20_icustay_detail.sql @@ -0,0 +1,97 @@ +drop table if exists icustay_detail; create table icustay_detail as + +-- This query extracts useful demographic/administrative information for patient ICU stays + +select ie.subject_id, ie.hadm_id, ie.icustay_id + +-- patient level factors +, pat.gender, pat.dod + +-- hospital level factors +, adm.admittime, adm.dischtime +, round((cast(extract(epoch from (adm.dischtime - adm.admittime))/(60*60*24) as numeric)), 8) as los_hospital +, round((cast(extract(epoch from (ie.intime - pat.dob))/(60*60*24*365) as numeric)), 8) as admission_age +, adm.ethnicity +, case when ethnicity in + ( + 'WHITE' -- 40996 + , 'WHITE - RUSSIAN' -- 164 + , 'WHITE - OTHER EUROPEAN' -- 81 + , 'WHITE - BRAZILIAN' -- 59 + , 'WHITE - EASTERN EUROPEAN' -- 25 + ) then 'white' + when ethnicity in + ( + 'BLACK/AFRICAN AMERICAN' -- 5440 + , 'BLACK/CAPE VERDEAN' -- 200 + , 'BLACK/HAITIAN' -- 101 + , 'BLACK/AFRICAN' -- 44 + , 'CARIBBEAN ISLAND' -- 9 + ) then 'black' + when ethnicity in + ( + 'HISPANIC OR LATINO' -- 1696 + , 'HISPANIC/LATINO - PUERTO RICAN' -- 232 + , 'HISPANIC/LATINO - DOMINICAN' -- 78 + , 'HISPANIC/LATINO - GUATEMALAN' -- 40 + , 'HISPANIC/LATINO - CUBAN' -- 24 + , 'HISPANIC/LATINO - SALVADORAN' -- 19 + , 'HISPANIC/LATINO - CENTRAL AMERICAN (OTHER)' -- 13 + , 'HISPANIC/LATINO - MEXICAN' -- 13 + , 'HISPANIC/LATINO - COLOMBIAN' -- 9 + , 'HISPANIC/LATINO - HONDURAN' -- 4 + ) then 'hispanic' + when ethnicity in + ( + 'ASIAN' -- 1509 + , 'ASIAN - CHINESE' -- 277 + , 'ASIAN - ASIAN INDIAN' -- 85 + , 'ASIAN - VIETNAMESE' -- 53 + , 'ASIAN - FILIPINO' -- 25 + , 'ASIAN - CAMBODIAN' -- 17 + , 'ASIAN - OTHER' -- 17 + , 'ASIAN - KOREAN' -- 13 + , 'ASIAN - JAPANESE' -- 7 + , 'ASIAN - THAI' -- 4 + ) then 'asian' + when ethnicity in + ( + 'AMERICAN INDIAN/ALASKA NATIVE' -- 51 + , 'AMERICAN INDIAN/ALASKA NATIVE FEDERALLY RECOGNIZED TRIBE' -- 3 + ) then 'native' + when ethnicity in + ( + 'UNKNOWN/NOT SPECIFIED' -- 4523 + , 'UNABLE TO OBTAIN' -- 814 + , 'PATIENT DECLINED TO ANSWER' -- 559 + ) then 'unknown' + else 'other' end as ethnicity_grouped + -- , 'OTHER' -- 1512 + -- , 'MULTI RACE ETHNICITY' -- 130 + -- , 'PORTUGUESE' -- 61 + -- , 'MIDDLE EASTERN' -- 43 + -- , 'NATIVE HAWAIIAN OR OTHER PACIFIC ISLANDER' -- 18 + -- , 'SOUTH AMERICAN' -- 8 +, adm.hospital_expire_flag +, dense_rank() over (partition by adm.subject_id order by adm.admittime) as hospstay_seq +, case + when dense_rank() over (partition by adm.subject_id order by adm.admittime) = 1 then true + else false end as first_hosp_stay + +-- icu level factors +, ie.intime, ie.outtime +, round((cast(extract(epoch from (ie.outtime - ie.intime))/(60*60*24) as numeric)), 8) as los_icu +, dense_rank() over (partition by ie.hadm_id order by ie.intime) as icustay_seq + +-- first ICU stay *for the current hospitalization* +, case + when dense_rank() over (partition by ie.hadm_id order by ie.intime) = 1 then true + else false end as first_icu_stay + +from icustays ie +inner join admissions adm + on ie.hadm_id = adm.hadm_id +inner join patients pat + on ie.subject_id = pat.subject_id +where adm.has_chartevents_data = 1 +order by ie.subject_id, adm.admittime, ie.intime; \ No newline at end of file diff --git a/mimic-iii-carevue/code/concepts/21_blood_gas_first_day.sql b/mimic-iii-carevue/code/concepts/21_blood_gas_first_day.sql new file mode 100644 index 000000000..d08299601 --- /dev/null +++ b/mimic-iii-carevue/code/concepts/21_blood_gas_first_day.sql @@ -0,0 +1,106 @@ +drop table if exists blood_gas_first_day; create table blood_gas_first_day as +-- The aim of this query is to pivot entries related to blood gases and +-- chemistry values which were found in labevents + +-- things to check: +-- when a mixed venous/arterial blood sample are taken at the same time, is the store time different? + +with pvt as +( -- begin query that extracts the data + select ie.subject_id, ie.hadm_id, ie.icustay_id + -- here we assign labels to itemids + -- this also fuses together multiple itemids containing the same data + , case + when itemid = 50800 then 'SPECIMEN' + when itemid = 50801 then 'AADO2' + when itemid = 50802 then 'BASEEXCESS' + when itemid = 50803 then 'BICARBONATE' + when itemid = 50804 then 'TOTALCO2' + when itemid = 50805 then 'CARBOXYHEMOGLOBIN' + when itemid = 50806 then 'CHLORIDE' + when itemid = 50808 then 'CALCIUM' + when itemid = 50809 then 'GLUCOSE' + when itemid = 50810 then 'HEMATOCRIT' + when itemid = 50811 then 'HEMOGLOBIN' + when itemid = 50812 then 'INTUBATED' + when itemid = 50813 then 'LACTATE' + when itemid = 50814 then 'METHEMOGLOBIN' + when itemid = 50815 then 'O2FLOW' + when itemid = 50816 then 'FIO2' + when itemid = 50817 then 'SO2' -- oxygensaturation + when itemid = 50818 then 'PCO2' + when itemid = 50819 then 'PEEP' + when itemid = 50820 then 'PH' + when itemid = 50821 then 'PO2' + when itemid = 50822 then 'POTASSIUM' + when itemid = 50823 then 'REQUIREDO2' + when itemid = 50824 then 'SODIUM' + when itemid = 50825 then 'TEMPERATURE' + when itemid = 50826 then 'TIDALVOLUME' + when itemid = 50827 then 'VENTILATIONRATE' + when itemid = 50828 then 'VENTILATOR' + else null + end as label + , charttime + , value + -- add in some sanity checks on the values + , case + when valuenum <= 0 and itemid != 50802 then null -- allow negative baseexcess + when itemid = 50810 and valuenum > 100 then null -- hematocrit + -- ensure FiO2 is a valid number between 21-100 + -- mistakes are rare (<100 obs out of ~100,000) + -- there are 862 obs of valuenum == 20 - some people round down! + -- rather than risk imputing garbage data for FiO2, we simply null invalid values + when itemid = 50816 and valuenum < 20 then null + when itemid = 50816 and valuenum > 100 then null + when itemid = 50817 and valuenum > 100 then null -- O2 sat + when itemid = 50815 and valuenum > 70 then null -- O2 flow + when itemid = 50821 and valuenum > 800 then null -- PO2 + -- conservative upper limit + else valuenum + end as valuenum + from icustays ie + left join labevents le + on le.subject_id = ie.subject_id and le.hadm_id = ie.hadm_id + and le.charttime between (ie.intime - interval '6 hour') and (ie.intime + interval '1 day') + and le.itemid in + -- blood gases + ( + 50800, 50801, 50802, 50803, 50804, 50805, 50806, 50807, 50808, 50809 + , 50810, 50811, 50812, 50813, 50814, 50815, 50816, 50817, 50818, 50819 + , 50820, 50821, 50822, 50823, 50824, 50825, 50826, 50827, 50828 + , 51545 + ) +) +select pvt.subject_id, pvt.hadm_id, pvt.icustay_id, pvt.charttime +, max(case when label = 'SPECIMEN' then value else null end) as specimen +, max(case when label = 'AADO2' then valuenum else null end) as aado2 +, max(case when label = 'BASEEXCESS' then valuenum else null end) as baseexcess +, max(case when label = 'BICARBONATE' then valuenum else null end) as bicarbonate +, max(case when label = 'TOTALCO2' then valuenum else null end) as totalco2 +, max(case when label = 'CARBOXYHEMOGLOBIN' then valuenum else null end) as carboxyhemoglobin +, max(case when label = 'CHLORIDE' then valuenum else null end) as chloride +, max(case when label = 'CALCIUM' then valuenum else null end) as calcium +, max(case when label = 'GLUCOSE' then valuenum else null end) as glucose +, max(case when label = 'HEMATOCRIT' then valuenum else null end) as hematocrit +, max(case when label = 'HEMOGLOBIN' then valuenum else null end) as hemoglobin +, max(case when label = 'INTUBATED' then valuenum else null end) as intubated +, max(case when label = 'LACTATE' then valuenum else null end) as lactate +, max(case when label = 'METHEMOGLOBIN' then valuenum else null end) as methemoglobin +, max(case when label = 'O2FLOW' then valuenum else null end) as o2flow +, max(case when label = 'FIO2' then valuenum else null end) as fio2 +, max(case when label = 'SO2' then valuenum else null end) as so2 -- oxygensaturation +, max(case when label = 'PCO2' then valuenum else null end) as pco2 +, max(case when label = 'PEEP' then valuenum else null end) as peep +, max(case when label = 'PH' then valuenum else null end) as ph +, max(case when label = 'PO2' then valuenum else null end) as po2 +, max(case when label = 'POTASSIUM' then valuenum else null end) as potassium +, max(case when label = 'REQUIREDO2' then valuenum else null end) as requiredo2 +, max(case when label = 'SODIUM' then valuenum else null end) as sodium +, max(case when label = 'TEMPERATURE' then valuenum else null end) as temperature +, max(case when label = 'TIDALVOLUME' then valuenum else null end) as tidalvolume +, max(case when label = 'VENTILATIONRATE' then valuenum else null end) as ventilationrate +, max(case when label = 'VENTILATOR' then valuenum else null end) as ventilator +from pvt +group by pvt.subject_id, pvt.hadm_id, pvt.icustay_id, pvt.charttime +order by pvt.subject_id, pvt.hadm_id, pvt.icustay_id, pvt.charttime; \ No newline at end of file diff --git a/mimic-iii-carevue/code/concepts/22_blood_gas_first_day_arterial.sql b/mimic-iii-carevue/code/concepts/22_blood_gas_first_day_arterial.sql new file mode 100644 index 000000000..5c3da6d71 --- /dev/null +++ b/mimic-iii-carevue/code/concepts/22_blood_gas_first_day_arterial.sql @@ -0,0 +1,140 @@ +drop table if exists blood_gas_first_day_arterial; create table blood_gas_first_day_arterial as + +with stg_spo2 as +( + select subject_id, hadm_id, icustay_id, charttime + -- max here is just used to group SpO2 by charttime + , max(case when valuenum <= 0 or valuenum > 100 then null else valuenum end) as spo2 + from chartevents + -- o2 sat + where itemid in (646) -- SpO2 + group by subject_id, hadm_id, icustay_id, charttime +) +, stg_fio2 as +( + select subject_id, hadm_id, icustay_id, charttime + -- pre-process the FiO2s to ensure they are between 21-100% + , max( + case + when itemid in (3420, 3422) + -- all these values are well formatted + then valuenum + when itemid = 190 and valuenum > 0.20 and valuenum < 1 + -- well formatted but not in % + then valuenum * 100 + else null end + ) as fio2_chartevents + from chartevents + where itemid in + ( + 3420 -- FiO2 + , 190 -- FiO2 set + , 3422 -- FiO2 [measured] + ) + -- exclude rows marked as error + and (error is null or error = 0) + group by subject_id, hadm_id, icustay_id, charttime +) +, stg2 as +( +select bg.* + , row_number() over (partition by bg.icustay_id, bg.charttime order by s1.charttime desc) as lastrowspo2 + , s1.spo2 +from blood_gas_first_day bg +left join stg_spo2 s1 + -- same patient + on bg.icustay_id = s1.icustay_id + -- spo2 occurred at most 2 hours before this blood gas + and s1.charttime >= (bg.charttime - interval '2 hour') + and s1.charttime <= bg.charttime +where bg.po2 is not null +) +, stg3 as +( +select bg.* + , row_number() over (partition by bg.icustay_id, bg.charttime order by s2.charttime desc) as lastrowfio2 + , s2.fio2_chartevents + + -- create our specimen prediction + , 1/(1+exp(-(-0.02544 + + 0.04598 * po2 + + coalesce(-0.15356 * spo2 , -0.15356 * 97.49420 + 0.13429) + + coalesce( 0.00621 * fio2_chartevents , 0.00621 * 51.49550 + -0.24958) + + coalesce( 0.10559 * hemoglobin , 0.10559 * 10.32307 + 0.05954) + + coalesce( 0.13251 * so2 , 0.13251 * 93.66539 + -0.23172) + + coalesce(-0.01511 * pco2 , -0.01511 * 42.08866 + -0.01630) + + coalesce( 0.01480 * fio2 , 0.01480 * 63.97836 + -0.31142) + + coalesce(-0.00200 * aado2 , -0.00200 * 442.21186 + -0.01328) + + coalesce(-0.03220 * bicarbonate , -0.03220 * 22.96894 + -0.06535) + + coalesce( 0.05384 * totalco2 , 0.05384 * 24.72632 + -0.01405) + + coalesce( 0.08202 * lactate , 0.08202 * 3.06436 + 0.06038) + + coalesce( 0.10956 * ph , 0.10956 * 7.36233 + -0.00617) + + coalesce( 0.00848 * o2flow , 0.00848 * 7.59362 + -0.35803) + ))) as specimen_prob +from stg2 bg +left join stg_fio2 s2 + -- same patient + on bg.icustay_id = s2.icustay_id + -- fio2 occurred at most 4 hours before this blood gas + and s2.charttime between (bg.charttime - interval '4 hour') and bg.charttime +where bg.lastrowspo2 = 1 -- only the row with the most recent SpO2 (if no SpO2 found lastRowSpO2 = 1) +) + +select subject_id, hadm_id, +icustay_id, charttime +, specimen -- raw data indicating sample type, only present 80% of the time + +-- prediction of specimen for missing data +, case + when specimen is not null then specimen + when specimen_prob > 0.75 then 'ART' + else null end as specimen_pred +, specimen_prob + +-- oxygen related parameters +, so2, spo2 -- note spo2 is from chartevents +, po2, pco2 +, fio2_chartevents, fio2 +, aado2 +-- also calculate AADO2 +, case + when PO2 is not null + and pco2 is not null + and coalesce(fio2, fio2_chartevents) is not null + -- multiple by 100 because FiO2 is in a % but should be a fraction + then (coalesce(fio2, fio2_chartevents)/100) * (760 - 47) - (pco2/0.8) - po2 + else null + end as aado2_calc +, case + when po2 is not null and coalesce(fio2, fio2_chartevents) is not null + -- multiply by 100 because FiO2 is in a % but should be a fraction + then 100*po2/(coalesce(fio2, fio2_chartevents)) + else null + end as pao2fio2 +-- acid-base parameters +, ph, baseexcess +, bicarbonate, totalco2 + +-- blood count parameters +, hematocrit +, hemoglobin +, carboxyhemoglobin +, methemoglobin + +-- chemistry +, chloride, calcium +, temperature +, potassium, sodium +, lactate +, glucose + +-- ventilation stuff that's sometimes input +, intubated, tidalvolume, ventilationrate, ventilator +, peep, o2flow +, requiredo2 + +from stg3 +where lastrowfio2 = 1 -- only the most recent FiO2 +-- restrict it to *only* arterial samples +and (specimen = 'ART' or specimen_prob > 0.75) +order by icustay_id, charttime; diff --git a/mimic-iii-carevue/code/concepts/23_gcs_first_day.sql b/mimic-iii-carevue/code/concepts/23_gcs_first_day.sql new file mode 100644 index 000000000..48b4c68a6 --- /dev/null +++ b/mimic-iii-carevue/code/concepts/23_gcs_first_day.sql @@ -0,0 +1,129 @@ +drop table if exists gcs_first_day; create table gcs_first_day as +-- itemids used: + +-- CAREVUE +-- 723 as GCSVerbal +-- 454 as GCSMotor +-- 184 as GCSEyes + + +-- The code combines the ITEMIDs into the carevue itemids, then pivots those +-- So 223900 is changed to 723, then the ITEMID 723 is pivoted to form GCSVerbal + +-- Note: +-- The GCS for sedated patients is defaulted to 15 in this code. +-- This is in line with how the data is meant to be collected. +-- e.g., from the SAPS II publication: +-- For sedated patients, the Glasgow Coma Score before sedation was used. +-- This was ascertained either from interviewing the physician who ordered the sedation, +-- or by reviewing the patient's medical record. + +with base as +( + select pvt.icustay_id + , pvt.charttime + + -- Easier names - note we coalesced CareVue IDs below + , max(case when pvt.itemid = 454 then pvt.valuenum else null end) as gcsmotor + , max(case when pvt.itemid = 723 then pvt.valuenum else null end) as gcsverbal + , max(case when pvt.itemid = 184 then pvt.valuenum else null end) as gcseyes + + -- If verbal was set to 0 in the below select, then this is an intubated patient + , case + when max(case when pvt.itemid = 723 then pvt.valuenum else null end) = 0 + then 1 + else 0 + end as endotrachflag + + , row_number () + over (partition by pvt.icustay_id order by pvt.charttime asc) as rn + + from ( + select + l.icustay_id + , itemid + + -- convert the data into a number, reserving a value of 0 for ET/Trach + , case + -- endotrach/vent is assigned a value of 0, later parsed specially + when l.itemid = 723 and l.value = '1.0 ET/Trach' then 0 -- carevue + else valuenum + end + as valuenum + , l.charttime + from chartevents l + + -- get intime for charttime subselection + inner join icustays b + on l.icustay_id = b.icustay_id + + -- Isolate the desired GCS variables + where l.itemid in + ( + -- 198 -- GCS + -- GCS components, CareVue + 184, 454, 723 + ) + -- Only get data for the first 24 hours + and l.charttime between b.intime and (b.intime + interval '1 day') + -- exclude rows marked as error + and (l.error is null or l.error = 0) + ) pvt + group by pvt.icustay_id, pvt.charttime +) +, gcs as ( + select b.* + , b2.gcsverbal as gcsverbalprev + , b2.gcsmotor as gcsmotorprev + , b2.gcseyes as gcseyesprev + -- Calculate GCS, factoring in special case when they are intubated and prev vals + -- note that the coalesce are used to implement the following if: + -- if current value exists, use it + -- if previous value exists, use it + -- otherwise, default to normal + , case + -- replace GCS during sedation with 15 + when b.gcsverbal = 0 + then 15 + when b.gcsverbal is null and b2.gcsverbal = 0 + then 15 + -- if previously they were intub, but they aren't now, do not use previous GCS values + when b2.gcsverbal = 0 + then + coalesce(b.gcsmotor,6) + + coalesce(b.gcsverbal,5) + + coalesce(b.gcseyes,4) + -- otherwise, add up score normally, imputing previous value if none available at current time + else + coalesce(b.gcsmotor,coalesce(b2.gcsmotor,6)) + + coalesce(b.gcsverbal,coalesce(b2.gcsverbal,5)) + + coalesce(b.gcseyes,coalesce(b2.gcseyes,4)) + end as gcs + + from base b + -- join to itself within 6 hours to get previous value + left join base b2 + on b.icustay_id = b2.icustay_id and b.rn = b2.rn+1 and b2.charttime > (b.charttime - interval '6 hour') +) +, gcs_final as ( + select gcs.* + -- This sorts the data by GCS, so rn=1 is the the lowest GCS values to keep + , row_number () + over (partition by gcs.icustay_id + order by gcs.gcs + ) as ismingcs + from gcs +) +select ie.subject_id, ie.hadm_id, ie.icustay_id +-- The minimum GCS is determined by the above row partition, we only join if IsMinGCS=1 +, gcs as mingcs +, coalesce(gcsmotor,gcsmotorprev) as gcsmotor +, coalesce(gcsverbal,gcsverbalprev) as gcsverbal +, coalesce(gcseyes,gcseyesprev) as gcseyes +, endotrachflag as endotrachflag + +-- subselect down to the cohort of eligible patients +from icustays ie +left join gcs_final gs + on ie.icustay_id = gs.icustay_id and gs.ismingcs = 1 +order by ie.icustay_id; \ No newline at end of file diff --git a/mimic-iii-carevue/code/concepts/24_height_first_day.sql b/mimic-iii-carevue/code/concepts/24_height_first_day.sql new file mode 100644 index 000000000..85998bfb5 --- /dev/null +++ b/mimic-iii-carevue/code/concepts/24_height_first_day.sql @@ -0,0 +1,50 @@ +drop table if exists height_first_day; create table height_first_day as +-- This query extracts heights for adult ICU patients. +-- It uses all information from the patient's first ICU day. +-- This is done for consistency with other queries - it's not necessarily needed. +-- Height is unlikely to change throughout a patient's stay. +-- staging table to ensure all heights are in centimeters +with ce0 as +( + select + c.icustay_id + , case + -- convert inches to centimetres + when itemid in (920, 1394, 4187, 3486) + then valuenum * 2.54 + else valuenum + end as height + from chartevents c + inner join icustays ie + on c.icustay_id = ie.icustay_id + and c.charttime <= (ie.intime + interval '1 day') + and c.charttime > (ie.intime - interval '1 day') -- some fuzziness for admit time + where c.valuenum is not null + and c.itemid in (920, 1394, 4187, 3486, 3485, 4188) -- height + and c.valuenum != 0 + -- exclude rows marked as error + and (c.error is null or c.error = 0) +) +, ce as +( + select + icustay_id + -- extract the median height from the chart to add robustness against outliers + , avg(height) as height_chart + from ce0 + where height > 100 + group by icustay_id +) + +select + ie.icustay_id + , ce.height_chart as height + -- components + , ce.height_chart +from icustays ie +-- filter to only adults +inner join patients pat + on ie.subject_id = pat.subject_id + and ie.intime > (pat.dob + interval '1 year') +left join ce + on ie.icustay_id = ce.icustay_id; \ No newline at end of file diff --git a/mimic-iii-carevue/code/concepts/25_labs_first_day.sql b/mimic-iii-carevue/code/concepts/25_labs_first_day.sql new file mode 100644 index 000000000..0d6dbee01 --- /dev/null +++ b/mimic-iii-carevue/code/concepts/25_labs_first_day.sql @@ -0,0 +1,154 @@ +drop table if exists labs_first_day; create table labs_first_day as +-- This query pivots lab values taken in the first 24 hours of a patient's stay + +-- Have already confirmed that the unit of measurement is always the same: null or the correct unit + +select + pvt.subject_id, pvt.hadm_id, pvt.icustay_id + + , min(case when label = 'ANION GAP' then valuenum else null end) as aniongap_min + , max(case when label = 'ANION GAP' then valuenum else null end) as aniongap_max + , min(case when label = 'ALBUMIN' then valuenum else null end) as albumin_min + , max(case when label = 'ALBUMIN' then valuenum else null end) as albumin_max + , min(case when label = 'BANDS' then valuenum else null end) as bands_min + , max(case when label = 'BANDS' then valuenum else null end) as bands_max + , min(case when label = 'BICARBONATE' then valuenum else null end) as bicarbonate_min + , max(case when label = 'BICARBONATE' then valuenum else null end) as bicarbonate_max + , min(case when label = 'BILIRUBIN' then valuenum else null end) as bilirubin_min + , max(case when label = 'BILIRUBIN' then valuenum else null end) as bilirubin_max + , min(case when label = 'CREATININE' then valuenum else null end) as creatinine_min + , max(case when label = 'CREATININE' then valuenum else null end) as creatinine_max + , min(case when label = 'CHLORIDE' then valuenum else null end) as chloride_min + , max(case when label = 'CHLORIDE' then valuenum else null end) as chloride_max + , min(case when label = 'GLUCOSE' then valuenum else null end) as glucose_min + , max(case when label = 'GLUCOSE' then valuenum else null end) as glucose_max + , min(case when label = 'HEMATOCRIT' then valuenum else null end) as hematocrit_min + , max(case when label = 'HEMATOCRIT' then valuenum else null end) as hematocrit_max + , min(case when label = 'HEMOGLOBIN' then valuenum else null end) as hemoglobin_min + , max(case when label = 'HEMOGLOBIN' then valuenum else null end) as hemoglobin_max + , min(case when label = 'LACTATE' then valuenum else null end) as lactate_min + , max(case when label = 'LACTATE' then valuenum else null end) as lactate_max + , min(case when label = 'PLATELET' then valuenum else null end) as platelet_min + , max(case when label = 'PLATELET' then valuenum else null end) as platelet_max + , min(case when label = 'POTASSIUM' then valuenum else null end) as potassium_min + , max(case when label = 'POTASSIUM' then valuenum else null end) as potassium_max + , min(case when label = 'PTT' then valuenum else null end) as ptt_min + , max(case when label = 'PTT' then valuenum else null end) as ptt_max + , min(case when label = 'INR' then valuenum else null end) as inr_min + , max(case when label = 'INR' then valuenum else null end) as inr_max + , min(case when label = 'PT' then valuenum else null end) as pt_min + , max(case when label = 'PT' then valuenum else null end) as pt_max + , min(case when label = 'SODIUM' then valuenum else null end) as sodium_min + , max(case when label = 'SODIUM' then valuenum else null end) as sodium_max + , min(case when label = 'BUN' then valuenum else null end) as bun_min + , max(case when label = 'BUN' then valuenum else null end) as bun_max + , min(case when label = 'WBC' then valuenum else null end) as wbc_min + , max(case when label = 'WBC' then valuenum else null end) as wbc_max + + +from +( -- begin query that extracts the data + select ie.subject_id, ie.hadm_id, ie.icustay_id + -- here we assign labels to itemids + -- this also fuses together multiple itemids containing the same data + , case + when itemid = 50868 then 'ANION GAP' + when itemid = 50862 then 'ALBUMIN' + when itemid = 51144 then 'BANDS' + when itemid = 50882 then 'BICARBONATE' + when itemid = 50885 then 'BILIRUBIN' + when itemid = 50912 then 'CREATININE' + when itemid = 50806 then 'CHLORIDE' + when itemid = 50902 then 'CHLORIDE' + when itemid = 50809 then 'GLUCOSE' + when itemid = 50931 then 'GLUCOSE' + when itemid = 50810 then 'HEMATOCRIT' + when itemid = 51221 then 'HEMATOCRIT' + when itemid = 50811 then 'HEMOGLOBIN' + when itemid = 51222 then 'HEMOGLOBIN' + when itemid = 50813 then 'LACTATE' + when itemid = 51265 then 'PLATELET' + when itemid = 50822 then 'POTASSIUM' + when itemid = 50971 then 'POTASSIUM' + when itemid = 51275 then 'PTT' + when itemid = 51237 then 'INR' + when itemid = 51274 then 'PT' + when itemid = 50824 then 'SODIUM' + when itemid = 50983 then 'SODIUM' + when itemid = 51006 then 'BUN' + when itemid = 51300 then 'WBC' + when itemid = 51301 then 'WBC' + else null + end as label + , -- add in some sanity checks on the values + -- the where clause below requires all valuenum to be > 0, so these are only upper limit checks + case + when itemid = 50862 and valuenum > 10 then null -- g/dL 'ALBUMIN' + when itemid = 50868 and valuenum > 10000 then null -- mEq/L 'ANION GAP' + when itemid = 51144 and valuenum < 0 then null -- immature band forms, % + when itemid = 51144 and valuenum > 100 then null -- immature band forms, % + when itemid = 50882 and valuenum > 10000 then null -- mEq/L 'BICARBONATE' + when itemid = 50885 and valuenum > 150 then null -- mg/dL 'BILIRUBIN' + when itemid = 50806 and valuenum > 10000 then null -- mEq/L 'CHLORIDE' + when itemid = 50902 and valuenum > 10000 then null -- mEq/L 'CHLORIDE' + when itemid = 50912 and valuenum > 150 then null -- mg/dL 'CREATININE' + when itemid = 50809 and valuenum > 10000 then null -- mg/dL 'GLUCOSE' + when itemid = 50931 and valuenum > 10000 then null -- mg/dL 'GLUCOSE' + when itemid = 50810 and valuenum > 100 then null -- % 'HEMATOCRIT' + when itemid = 51221 and valuenum > 100 then null -- % 'HEMATOCRIT' + when itemid = 50811 and valuenum > 50 then null -- g/dL 'HEMOGLOBIN' + when itemid = 51222 and valuenum > 50 then null -- g/dL 'HEMOGLOBIN' + when itemid = 50813 and valuenum > 50 then null -- mmol/L 'LACTATE' + when itemid = 51265 and valuenum > 10000 then null -- K/uL 'PLATELET' + when itemid = 50822 and valuenum > 30 then null -- mEq/L 'POTASSIUM' + when itemid = 50971 and valuenum > 30 then null -- mEq/L 'POTASSIUM' + when itemid = 51275 and valuenum > 150 then null -- sec 'PTT' + when itemid = 51237 and valuenum > 50 then null -- 'INR' + when itemid = 51274 and valuenum > 150 then null -- sec 'PT' + when itemid = 50824 and valuenum > 200 then null -- mEq/L == mmol/L 'SODIUM' + when itemid = 50983 and valuenum > 200 then null -- mEq/L == mmol/L 'SODIUM' + when itemid = 51006 and valuenum > 300 then null -- 'BUN' + when itemid = 51300 and valuenum > 1000 then null -- 'WBC' + when itemid = 51301 and valuenum > 1000 then null -- 'WBC' + else le.valuenum + end as valuenum + + from icustays ie + + left join labevents le + on le.subject_id = ie.subject_id and le.hadm_id = ie.hadm_id + and le.charttime between (ie.intime - interval '6 hour') and (ie.intime + interval '1 day') + and le.itemid in + ( + -- comment is: LABEL | CATEGORY | FLUID | NUMBER OF ROWS IN LABEVENTS + 50868, -- ANION GAP | CHEMISTRY | BLOOD | 769895 + 50862, -- ALBUMIN | CHEMISTRY | BLOOD | 146697 + 51144, -- BANDS - hematology + 50882, -- BICARBONATE | CHEMISTRY | BLOOD | 780733 + 50885, -- BILIRUBIN, TOTAL | CHEMISTRY | BLOOD | 238277 + 50912, -- CREATININE | CHEMISTRY | BLOOD | 797476 + 50902, -- CHLORIDE | CHEMISTRY | BLOOD | 795568 + 50806, -- CHLORIDE, WHOLE BLOOD | BLOOD GAS | BLOOD | 48187 + 50931, -- GLUCOSE | CHEMISTRY | BLOOD | 748981 + 50809, -- GLUCOSE | BLOOD GAS | BLOOD | 196734 + 51221, -- HEMATOCRIT | HEMATOLOGY | BLOOD | 881846 + 50810, -- HEMATOCRIT, CALCULATED | BLOOD GAS | BLOOD | 89715 + 51222, -- HEMOGLOBIN | HEMATOLOGY | BLOOD | 752523 + 50811, -- HEMOGLOBIN | BLOOD GAS | BLOOD | 89712 + 50813, -- LACTATE | BLOOD GAS | BLOOD | 187124 + 51265, -- PLATELET COUNT | HEMATOLOGY | BLOOD | 778444 + 50971, -- POTASSIUM | CHEMISTRY | BLOOD | 845825 + 50822, -- POTASSIUM, WHOLE BLOOD | BLOOD GAS | BLOOD | 192946 + 51275, -- PTT | HEMATOLOGY | BLOOD | 474937 + 51237, -- INR(PT) | HEMATOLOGY | BLOOD | 471183 + 51274, -- PT | HEMATOLOGY | BLOOD | 469090 + 50983, -- SODIUM | CHEMISTRY | BLOOD | 808489 + 50824, -- SODIUM, WHOLE BLOOD | BLOOD GAS | BLOOD | 71503 + 51006, -- UREA NITROGEN | CHEMISTRY | BLOOD | 791925 + 51301, -- WHITE BLOOD CELLS | HEMATOLOGY | BLOOD | 753301 + 51300 -- WBC COUNT | HEMATOLOGY | BLOOD | 2371 + ) + and valuenum is not null and valuenum > 0 -- lab values cannot be 0 and cannot be negative +) pvt +group by pvt.subject_id, pvt.hadm_id, pvt.icustay_id +order by pvt.subject_id, pvt.hadm_id, pvt.icustay_id; \ No newline at end of file diff --git a/mimic-iii-carevue/code/concepts/26_rrt_first_day.sql b/mimic-iii-carevue/code/concepts/26_rrt_first_day.sql new file mode 100644 index 000000000..4b8c5d6aa --- /dev/null +++ b/mimic-iii-carevue/code/concepts/26_rrt_first_day.sql @@ -0,0 +1,85 @@ +drop table if exists rrt_first_day; create table rrt_first_day as +-- determines if patients received any dialysis during their stay + +-- Some example aggregate queries which summarize the data here. +-- This query estimates 6.7% of ICU patients received RRT. + -- select count(rrt.icustay_id) as numobs + -- , sum(rrt) as numrrt + -- , sum(case when rrt=1 then 1 else 0 end)*100.0 / count(rrt.icustay_id) + -- as percent_rrt + -- from rrt + -- inner join icustays ie on rrt.icustay_id = ie.icustay_id + -- inner join patients p + -- on rrt.subject_id = p.subject_id + -- and p.dob < ie.intime - interval '1' year + -- inner join admissions adm + -- on rrt.hadm_id = adm.hadm_id; + +-- This query estimates that 4.6% of first ICU stays received RRT. + -- select + -- count(rrt.icustay_id) as numobs + -- , sum(rrt) as numrrt + -- , sum(case when rrt=1 then 1 else 0 end)*100.0 / count(rrt.icustay_id) + -- as percent_rrt + -- from + -- ( + -- select ie.icustay_id, rrt.rrt + -- , row_number() over (partition by ie.subject_id order by ie.intime) rn + -- from rrt + -- inner join icustays ie + -- on rrt.icustay_id = ie.icustay_id + -- inner join patients p + -- on rrt.subject_id = p.subject_id + -- and p.dob < ie.intime - interval '1' year + -- inner join admissions adm + -- on rrt.hadm_id = adm.hadm_id + -- ) rrt + -- where rn = 1; + +with cv as +( + select ie.icustay_id + , max( + case + when ce.itemid in (152,148,149,146,147,151,150) and value is not null then 1 + when ce.itemid in (229,235,241,247,253,259,265,271) and value = 'Dialysis Line' then 1 + when ce.itemid = 582 and value in ('CAVH Start','CAVH D/C','CVVHD Start','CVVHD D/C','Hemodialysis st','Hemodialysis end') then 1 + else 0 end + ) as rrt + from icustays ie + inner join chartevents ce + on ie.icustay_id = ce.icustay_id + and ce.itemid in + ( + 152 -- "Dialysis Type";61449 + ,148 -- "Dialysis Access Site";60335 + ,149 -- "Dialysis Access Type";60030 + ,146 -- "Dialysate Flow ml/hr";57445 + ,147 -- "Dialysate Infusing";56605 + ,151 -- "Dialysis Site Appear";37345 + ,150 -- "Dialysis Machine";27472 + ,229 -- INV Line#1 [Type] + ,235 -- INV Line#2 [Type] + ,241 -- INV Line#3 [Type] + ,247 -- INV Line#4 [Type] + ,253 -- INV Line#5 [Type] + ,259 -- INV Line#6 [Type] + ,265 -- INV Line#7 [Type] + ,271 -- INV Line#8 [Type] + ,582 -- Procedures + ) + and ce.value is not null + and ce.charttime between ie.intime and (ie.intime + interval '1 day') + where ie.dbsource = 'carevue' + group by ie.icustay_id +) + +select ie.subject_id, ie.hadm_id, ie.icustay_id + , case + when cv.rrt = 1 then 1 + else 0 + end as rrt +from icustays ie +left join cv + on ie.icustay_id = cv.icustay_id +order by ie.icustay_id; \ No newline at end of file diff --git a/mimic-iii-carevue/code/concepts/27_urine_output_first_day.sql b/mimic-iii-carevue/code/concepts/27_urine_output_first_day.sql new file mode 100644 index 000000000..05fc05666 --- /dev/null +++ b/mimic-iii-carevue/code/concepts/27_urine_output_first_day.sql @@ -0,0 +1,38 @@ +drop table if exists urine_output_first_day; create table urine_output_first_day as +-- ------------------------------------------------------------------ +-- Purpose: Create a view of the urine output for each icustay_id over the first 24 hours. +-- ------------------------------------------------------------------ + +select + -- patient identifiers + ie.subject_id, ie.hadm_id, ie.icustay_id + + -- volumes associated with urine output ITEMIDs + , sum(oe.value) as urineoutput +from icustays ie +-- join to the outputevents table to get urine output +left join outputevents oe +-- join on all patient identifiers +on ie.subject_id = oe.subject_id and ie.hadm_id = oe.hadm_id and ie.icustay_id = oe.icustay_id +-- and ensure the data occurs during the first day +and oe.charttime between ie.intime and (ie.intime + interval '1 day') -- first icu day +where itemid in +( +-- these are the most frequently occurring urine output observations in CareVue +40055, -- "Urine Out Foley" +43175, -- "Urine" +40069, -- "Urine Out Void" +40094, -- "Urine Out Condom Cath" +40715, -- "Urine Out Suprapubic" +40473, -- "Urine Out IleoConduit" +40085, -- "Urine Out Incontinent" +40057, -- "Urine Out Rt Nephrostomy" +40056, -- "Urine Out Lt Nephrostomy" +40405, -- "Urine Out Other" +40428, -- "Urine Out Straight Cath" +40086, -- "Urine Out Incontinent" +40096, -- "Urine Out Ureteral Stent #1" +40651 -- "Urine Out Ureteral Stent #2" +) +group by ie.subject_id, ie.hadm_id, ie.icustay_id +order by ie.subject_id, ie.hadm_id, ie.icustay_id; \ No newline at end of file diff --git a/mimic-iii-carevue/code/concepts/28_ventilation_first_day.sql b/mimic-iii-carevue/code/concepts/28_ventilation_first_day.sql new file mode 100644 index 000000000..c870b7c99 --- /dev/null +++ b/mimic-iii-carevue/code/concepts/28_ventilation_first_day.sql @@ -0,0 +1,25 @@ +drop table if exists ventilation_first_day; create table ventilation_first_day as +-- Determines if a patient is ventilated on the first day of their ICU stay. +-- Creates a table with the result. +-- Requires the `durations_ventilation_durations` table, generated by ../durations_ventilation_durations.sql + +select + ie.subject_id, ie.hadm_id, ie.icustay_id + -- if vd.icustay_id is not null, then they have a valid ventilation event + -- in this case, we say they are ventilated + -- otherwise, they are not + , max(case + when vd.icustay_id is not null then 1 + else 0 end) as vent +from icustays ie +left join ventilation_durations vd + on ie.icustay_id = vd.icustay_id + and + ( + -- ventilation duration overlaps with ICU admission -> vented on admission + (vd.starttime <= ie.intime and vd.endtime >= ie.intime) + -- ventilation started during the first day + or (vd.starttime >= ie.intime and vd.starttime <= (ie.intime + interval '1 day')) + ) +group by ie.subject_id, ie.hadm_id, ie.icustay_id +order by ie.subject_id, ie.hadm_id, ie.icustay_id; \ No newline at end of file diff --git a/mimic-iii-carevue/code/concepts/29_vitals_first_day.sql b/mimic-iii-carevue/code/concepts/29_vitals_first_day.sql new file mode 100644 index 000000000..ddcdd59cd --- /dev/null +++ b/mimic-iii-carevue/code/concepts/29_vitals_first_day.sql @@ -0,0 +1,98 @@ +drop table if exists vitals_first_day; create table vitals_first_day as +-- This query pivots the vital signs for the first 24 hours of a patient's stay +-- Vital signs include heart rate, blood pressure, respiration rate, and temperature + +select pvt.subject_id, pvt.hadm_id, pvt.icustay_id + -- easier names + , min(case when vitalid = 1 then valuenum else null end) as heartrate_min + , max(case when vitalid = 1 then valuenum else null end) as heartrate_max + , avg(case when vitalid = 1 then valuenum else null end) as heartrate_mean + , min(case when vitalid = 2 then valuenum else null end) as sysbp_min + , max(case when vitalid = 2 then valuenum else null end) as sysbp_max + , avg(case when vitalid = 2 then valuenum else null end) as sysbp_mean + , min(case when vitalid = 3 then valuenum else null end) as diasbp_min + , max(case when vitalid = 3 then valuenum else null end) as diasbp_max + , avg(case when vitalid = 3 then valuenum else null end) as diasbp_mean + , min(case when vitalid = 4 then valuenum else null end) as meanbp_min + , max(case when vitalid = 4 then valuenum else null end) as meanbp_max + , avg(case when vitalid = 4 then valuenum else null end) as meanbp_mean + , min(case when vitalid = 5 then valuenum else null end) as resprate_min + , max(case when vitalid = 5 then valuenum else null end) as resprate_max + , avg(case when vitalid = 5 then valuenum else null end) as resprate_mean + , min(case when vitalid = 6 then valuenum else null end) as tempc_min + , max(case when vitalid = 6 then valuenum else null end) as tempc_max + , avg(case when vitalid = 6 then valuenum else null end) as tempc_mean + , min(case when vitalid = 7 then valuenum else null end) as spo2_min + , max(case when vitalid = 7 then valuenum else null end) as spo2_max + , avg(case when vitalid = 7 then valuenum else null end) as spo2_mean + , min(case when vitalid = 8 then valuenum else null end) as glucose_min + , max(case when vitalid = 8 then valuenum else null end) as glucose_max + , avg(case when vitalid = 8 then valuenum else null end) as glucose_mean +from + ( + select + ie.subject_id, ie.hadm_id, ie.icustay_id + , case + when itemid in (211) and valuenum > 0 and valuenum < 300 then 1 -- HeartRate + when itemid in (51,442,455,6701) and valuenum > 0 and valuenum < 400 then 2 -- SysBP + when itemid in (8368,8440,8441,8555) and valuenum > 0 and valuenum < 300 then 3 -- DiasBP + when itemid in (456,52,6702,443) and valuenum > 0 and valuenum < 300 then 4 -- MeanBP + when itemid in (615,618) and valuenum > 0 and valuenum < 70 then 5 -- RespRate + when itemid in (678) and valuenum > 70 and valuenum < 120 then 6 -- TempF, converted to degC in valuenum call + when itemid in (676) and valuenum > 10 and valuenum < 50 then 6 -- TempC + when itemid in (646) and valuenum > 0 and valuenum <= 100 then 7 -- SpO2 + when itemid in (807,811,1529,3745,3744) and valuenum > 0 then 8 -- Glucose + else null end as vitalid + -- convert F to C + , case when itemid in (678) then (valuenum-32)/1.8 else valuenum end as valuenum + from icustays ie + left join chartevents ce + on ie.icustay_id = ce.icustay_id + and ce.charttime between ie.intime and (ie.intime + interval '1 day') + and (cast(extract(epoch from (ce.charttime - ie.intime)) as numeric)) > 0 + and (cast(extract(epoch from (ie.outtime - ie.intime))/(60*60) as numeric)) <= 24 + -- exclude rows marked as error + and (ce.error is null or ce.error = 0) + where ce.itemid in + ( + -- HEART RATE + 211, --"Heart Rate" + + -- Systolic/diastolic + 51, -- Arterial BP [Systolic] + 442, -- Manual BP [Systolic] + 455, -- NBP [Systolic] + 6701, -- Arterial BP #2 [Systolic] + + 8368, -- Arterial BP [Diastolic] + 8440, -- Manual BP [Diastolic] + 8441, -- NBP [Diastolic] + 8555, -- Arterial BP #2 [Diastolic] + + -- MEAN ARTERIAL PRESSURE + 456, --"NBP Mean" + 52, --"Arterial BP Mean" + 6702, -- Arterial BP Mean #2 + 443, -- Manual BP Mean(calc) + + -- RESPIRATORY RATE + 618,-- Respiratory Rate + 615,-- Resp Rate (Total) + + -- SPO2, peripheral + 646, + + -- GLUCOSE, both lab and fingerstick + 807,-- Fingerstick Glucose + 811,-- Glucose (70-105) + 1529,-- Glucose + 3745,-- BloodGlucose + 3744,-- Blood Glucose + + -- TEMPERATURE + 676, -- "Temperature C" + 678 -- "Temperature F" + ) + ) pvt +group by pvt.subject_id, pvt.hadm_id, pvt.icustay_id +order by pvt.subject_id, pvt.hadm_id, pvt.icustay_id; \ No newline at end of file diff --git a/mimic-iii-carevue/code/concepts/30_weight_first_day.sql b/mimic-iii-carevue/code/concepts/30_weight_first_day.sql new file mode 100644 index 000000000..7ad05e88a --- /dev/null +++ b/mimic-iii-carevue/code/concepts/30_weight_first_day.sql @@ -0,0 +1,67 @@ +drop table if exists weight_first_day; create table weight_first_day as +-- This query extracts weights for adult ICU patients on their first ICU day. +-- It does *not* use any information after the first ICU day, as weight is +-- sometimes used to monitor fluid balance. + +-- ** Requires the echodata view, generated by concepts/echo-data.sql + +with ce as +( + select + c.icustay_id + -- we take the avg value from roughly first day + -- TODO: eliminate obvious outliers if there is a reasonable weight + -- (e.g. weight of 180kg and 90kg would remove 180kg instead of taking the median) + , avg(valuenum) as weight_admit + from chartevents c + inner join icustays ie + on c.icustay_id = ie.icustay_id + and c.charttime <= (ie.intime + interval '1 day') + and c.charttime > (ie.intime - interval '1 day') -- some fuzziness for admit time + where c.valuenum is not null + and c.itemid in (762) -- admit wt + and c.valuenum != 0 + -- exclude rows marked as error + and (c.error is null or c.error = 0) + group by c.icustay_id +) +, dwt as +( + select + c.icustay_id + , avg(valuenum) as weight_daily + from chartevents c + inner join icustays ie + on c.icustay_id = ie.icustay_id + and c.charttime <= (ie.intime + interval '1 day') + and c.charttime > (ie.intime - interval '1 day') -- some fuzziness for admit time + where c.valuenum is not null + and c.itemid in (763) -- daily weight + and c.valuenum != 0 + -- exclude rows marked as error + and (c.error is null or c.error = 0) + group by c.icustay_id +) + +select + ie.icustay_id + , round(cast(case + when ce.icustay_id is not null then ce.weight_admit + when dwt.icustay_id is not null then dwt.weight_daily + else null end as numeric), 2) + as weight + -- components + , ce.weight_admit + , dwt.weight_daily +from icustays ie +-- filter to only adults +inner join patients pat + on ie.subject_id = pat.subject_id + and ie.intime > (pat.dob + interval '1 year') +-- admission weight +left join ce + on ie.icustay_id = ce.icustay_id +-- daily weights +left join dwt + on ie.icustay_id = dwt.icustay_id +order by ie.icustay_id; \ No newline at end of file diff --git a/mimic-iii-carevue/code/concepts/31_urine_output.sql b/mimic-iii-carevue/code/concepts/31_urine_output.sql new file mode 100644 index 000000000..58c8f375b --- /dev/null +++ b/mimic-iii-carevue/code/concepts/31_urine_output.sql @@ -0,0 +1,28 @@ +drop table if exists urine_output; create table urine_output as +-- First we drop the table if it exists +select + oe.icustay_id + , oe.charttime + , sum(oe.value) as value +from outputevents oe +where oe.itemid in +( + -- these are the most frequently occurring urine output observations in CareVue + 40055, -- "Urine Out Foley" + 43175, -- "Urine" + 40069, -- "Urine Out Void" + 40094, -- "Urine Out Condom Cath" + 40715, -- "Urine Out Suprapubic" + 40473, -- "Urine Out IleoConduit" + 40085, -- "Urine Out Incontinent" + 40057, -- "Urine Out Rt Nephrostomy" + 40056, -- "Urine Out Lt Nephrostomy" + 40405, -- "Urine Out Other" + 40428, -- "Urine Out Straight Cath" + 40086, -- Urine Out Incontinent + 40096, -- "Urine Out Ureteral Stent #1" + 40651 -- "Urine Out Ureteral Stent #2" +) +and oe.value < 5000 -- sanity check on urine value +and oe.icustay_id is not null +group by icustay_id, charttime; \ No newline at end of file diff --git a/mimic-iii-carevue/code/concepts/32_angus.sql b/mimic-iii-carevue/code/concepts/32_angus.sql new file mode 100644 index 000000000..b9c06c542 --- /dev/null +++ b/mimic-iii-carevue/code/concepts/32_angus.sql @@ -0,0 +1,103 @@ +drop table if exists angus; create table angus as +-- ICD-9 codes for Angus criteria of sepsis + +-- Angus et al, 2001. Epidemiology of severe sepsis in the United States +-- http://www.ncbi.nlm.nih.gov/pubmed/11445675 + +-- Case selection and definitions +-- To identify cases with severe sepsis, we selected all acute care +-- hospitalizations with ICD-9-CM codes for both: +-- (a) a bacterial or fungal infectious process AND +-- (b) a diagnosis of acute organ dysfunction (Appendix 2). + +-- ICD-9 codes for infection - as sourced from Appendix 1 of above paper +with infection_group as +( + select subject_id, hadm_id, + case + when substr(icd9_code,1,3) in ('001','002','003','004','005','008', + '009','010','011','012','013','014','015','016','017','018', + '020','021','022','023','024','025','026','027','030','031', + '032','033','034','035','036','037','038','039','040','041', + '090','091','092','093','094','095','096','097','098','100', + '101','102','103','104','110','111','112','114','115','116', + '117','118','320','322','324','325','420','421','451','461', + '462','463','464','465','481','482','485','486','494','510', + '513','540','541','542','566','567','590','597','601','614', + '615','616','681','682','683','686','730') THEN 1 + when substr(icd9_code,1,4) in ('5695','5720','5721','5750','5990','7110', + '7907','9966','9985','9993') then 1 + when substr(icd9_code,1,5) in ('49121','56201','56203','56211','56213', + '56983') then 1 + else 0 end as infection + from diagnoses_icd +), +-- ICD-9 codes for organ dysfunction - as sourced from Appendix 2 of above paper +organ_diag_group as +( + select subject_id, hadm_id, + case + -- acute organ dysfunction diagnosis codes + when substr(icd9_code,1,3) in ('458','293','570','584') then 1 + when substr(icd9_code,1,4) in ('7855','3483','3481', + '2874','2875','2869','2866','5734') then 1 + else 0 end as organ_dysfunction, + -- Explicit diagnosis of severe sepsis or septic shock + case + when substr(icd9_code,1,5) in ('99592','78552') then 1 + else 0 end as explicit_sepsis + from diagnoses_icd +), +-- Mechanical ventilation +organ_proc_group as +( + select subject_id, hadm_id, + case + when icd9_code in ('9670', '9671', '9672') then 1 + else 0 end as mech_vent + from procedures_icd +), +-- Aggregate above views together +aggregate as +( + select subject_id, hadm_id, + case + when hadm_id in + (select distinct hadm_id + from infection_group + where infection = 1) + then 1 + else 0 end as infection, + case + when hadm_id in + (select distinct hadm_id + from organ_diag_group + where explicit_sepsis = 1) + then 1 + else 0 end as explicit_sepsis, + case + when hadm_id in + (select distinct hadm_id + from organ_diag_group + where organ_dysfunction = 1) + then 1 + else 0 end as organ_dysfunction, + case + when hadm_id in + (select distinct hadm_id + from organ_proc_group + where mech_vent = 1) + then 1 + else 0 end as mech_vent + from admissions +) +-- output component flags (explicit sepsis, organ dysfunction) and final flag (angus) +select subject_id, hadm_id, infection, + explicit_sepsis, organ_dysfunction, mech_vent, +case + when explicit_sepsis = 1 then 1 + when infection = 1 and organ_dysfunction = 1 then 1 + when infection = 1 and mech_vent = 1 then 1 + else 0 end +as angus +from aggregate; \ No newline at end of file diff --git a/mimic-iii-carevue/code/concepts/33_martin.sql b/mimic-iii-carevue/code/concepts/33_martin.sql new file mode 100644 index 000000000..20f53ffef --- /dev/null +++ b/mimic-iii-carevue/code/concepts/33_martin.sql @@ -0,0 +1,111 @@ +drop table if exists martin; create table martin as +-- ICD-9 codes for sepsis as validated by Martin et al. + +-- Greg S. Martin, David M. Mannino, Stephanie Eaton, and Marc Moss. The epidemiology of +-- sepsis in the united states from 1979 through 2000. N Engl J Med, 348(16):1546–1554, Apr +-- 2003. doi: 10.1056/NEJMoa022139. URL http://dx.doi.org/10.1056/NEJMoa022139. + +with co_dx as +( + select subject_id, hadm_id + , max( + case + -- septicemia + when substr(icd9_code,1,3) = '038' then 1 + -- septicemic, bacteremia, disseminated fungal infection, disseminated candida infection + -- NOTE: the paper specifies 020.0 ... but this is bubonic plague + -- presumably, they meant 020.2, which is septicemic plague + when substr(icd9_code,1,4) in ('0202','7907','1179','1125') then 1 + -- disseminated fungal endocarditis + when substr(icd9_code,1,5) = '11281' then 1 + else 0 end + ) as sepsis + , max( + case + when substr(icd9_code,1,4) in ('7991') then 1 + when substr(icd9_code,1,5) in ('51881','51882','51885','78609') then 1 + else 0 end + ) as respiratory + , max( + case + when substr(icd9_code,1,4) in ('4580','7855','4580','4588','4589','7963') then 1 + when substr(icd9_code,1,5) in ('785.51','785.59') then 1 + else 0 end + ) as cardiovascular + , max( + case + when substr(icd9_code,1,3) in ('584','580','585') then 1 + else 0 end + ) as renal + , max( + case + when substr(icd9_code,1,3) in ('570') then 1 + when substr(icd9_code,1,4) in ('5722','5733') then 1 + else 0 end + ) as hepatic + , max( + case + when substr(icd9_code,1,4) in ('2862','2866','2869','2873','2874','2875') then 1 + else 0 end + ) as hematologic + , max( + case + when substr(icd9_code,1,4) in ('2762') then 1 + else 0 end + ) as metabolic + , max( + case + when substr(icd9_code,1,3) in ('293') then 1 + when substr(icd9_code,1,4) in ('3481','3483') then 1 + when substr(icd9_code,1,5) in ('78001','78009') then 1 + else 0 end + ) as neurologic + from diagnoses_icd + group by subject_id, hadm_id +) +-- procedure codes: +-- "96.7 - Ventilator management" +-- translated: +-- 9670 Continuous invasive mechanical ventilation of unspecified duration +-- 9671 Continuous invasive mechanical ventilation for less than 96 consecutive hours +-- 9672 Continuous invasive mechanical ventilation for 96 consecutive hours or more +-- "39.95 - Hemodialysis" +-- 3995 Hemodialysis +-- "89.14 - Electroencephalography" +-- 8914 Electroencephalogram +, co_proc as +( + select + subject_id, hadm_id + , max(case when icd9_code = '967' then 1 else 0 end) as respiratory + , max(case when icd9_code = '3995' then 1 else 0 end) as renal + , max(case when icd9_code = '8914' then 1 else 0 end) as neurologic + from procedures_icd + group by subject_id, hadm_id +) +select + adm.subject_id, adm.hadm_id + , co_dx.sepsis + , case + when co_dx.respiratory = 1 or co_proc.respiratory = 1 + or co_dx.cardiovascular = 1 + or co_dx.renal = 1 or co_proc.renal = 1 + or co_dx.hepatic = 1 + or co_dx.hematologic = 1 + or co_dx.metabolic = 1 + or co_dx.neurologic = 1 or co_proc.neurologic = 1 + then 1 + else 0 + end as organ_failure + , case when co_dx.respiratory = 1 or co_proc.respiratory = 1 then 1 else 0 end as respiratory + , co_dx.cardiovascular + , case when co_dx.renal = 1 or co_proc.renal = 1 then 1 else 0 end as renal + , co_dx.hepatic + , co_dx.hematologic + , co_dx.metabolic + , case when co_dx.neurologic = 1 or co_proc.neurologic = 1 then 1 else 0 end as neurologic +from admissions adm +left join co_dx + on adm.hadm_id = co_dx.hadm_id +left join co_proc + on adm.hadm_id = co_proc.hadm_id; \ No newline at end of file diff --git a/mimic-iii-carevue/code/concepts/34_explicit.sql b/mimic-iii-carevue/code/concepts/34_explicit.sql new file mode 100644 index 000000000..3f851af87 --- /dev/null +++ b/mimic-iii-carevue/code/concepts/34_explicit.sql @@ -0,0 +1,35 @@ +drop table if exists explicit; create table explicit as +-- This code extracts explicit sepsis using ICD-9 diagnosis codes +-- That is, the two codes 995.92 (severe sepsis) or 785.52 (septic shock) +-- These codes are extremely specific to sepsis, but have very low sensitivity +-- From Iwashyna et al. (vs. chart reviews): 100% PPV, 9.3% sens, 100% specificity + +with co_dx as +( + select hadm_id + -- sepsis codes + , max( + case + when icd9_code = '99592' then 1 + else 0 end + ) as severe_sepsis + , max( + case + when icd9_code = '78552' then 1 + else 0 end + ) as septic_shock + from diagnoses_icd + group by hadm_id +) +select + adm.subject_id + , adm.hadm_id + , co_dx.severe_sepsis + , co_dx.septic_shock + , case when co_dx.severe_sepsis = 1 or co_dx.septic_shock = 1 + then 1 + else 0 end as sepsis +from admissions adm +left join co_dx + on adm.hadm_id = co_dx.hadm_id +order by adm.subject_id, adm.hadm_id; \ No newline at end of file diff --git a/mimic-iii-carevue/code/concepts/35_ccs_dx.sql b/mimic-iii-carevue/code/concepts/35_ccs_dx.sql new file mode 100644 index 000000000..c5d34562c --- /dev/null +++ b/mimic-iii-carevue/code/concepts/35_ccs_dx.sql @@ -0,0 +1,55 @@ +drop table if exists ccs_dx; +create table ccs_dx +( + icd9_code char(5) not null, + -- we will populate ccs_mid and ccs_name with the most granular id/name later + ccs_matched_id varchar(10), + ccs_matched_name varchar(100), + ccs_id integer, + ccs_name varchar(100), + -- ccs levels and names based on position in hierarchy + ccs_level1 varchar(10), + ccs_group1 varchar(100), + ccs_level2 varchar(10), + ccs_group2 varchar(100), + ccs_level3 varchar(10), + ccs_group3 varchar(100), + ccs_level4 varchar(10), + ccs_group4 varchar(100) +); + +-- copy all columns *but* ccs_mid and ccs_name +-- we will populate these after the data is loaded in +\copy ccs_dx (icd9_code, ccs_level1, ccs_group1, ccs_level2, ccs_group2, ccs_level3, ccs_group3, ccs_level4, ccs_group4) from program 'gzip -dc ./code/concepts/dx_data/ccs_multi_dx.csv.gz' csv header; + +-- add in matched ID, name, and ccs_id +-- matched id (ccs_mid): the ccs ID with the hierachy, e.g. 7.1.2.1 +-- name (ccs_name): the most granular CCS category the diagnosis is in +-- ID (ccs_id): the CCS identifier for the ICD-9 code (integer) +update ccs_dx +set ccs_matched_id=tt.ccs_matched_id, ccs_matched_name=tt.ccs_matched_name, + ccs_name=tt.ccs_name, ccs_id=cast(tt.ccs_id as integer) +from ( + select icd9_code + , coalesce(ccs_level4, ccs_level3, ccs_level2, ccs_level1) as ccs_matched_id + -- remove the trailing ccs_id from name column, i.e. "Burns [240.]" -> "Burns" + , regexp_replace(coalesce(ccs_group4, ccs_group3, ccs_group2, ccs_group1), '\[[0-9]+\.\]$', '') as ccs_matched_name + -- ccs_id is sometimes present at a higher level of granularity + -- e.g. for 7.1.2.1, the CCS name is at level 7.1.2 + -- therefore we pull from the first category to have the CCS ID + , case + when ccs_group4 ~ '\[([0-9]+)\.\]$' then regexp_replace(ccs_group4, '\[[0-9]+\.\]$', '') + when ccs_group3 ~ '\[([0-9]+)\.\]$' then regexp_replace(ccs_group3, '\[[0-9]+\.\]$', '') + when ccs_group2 ~ '\[([0-9]+)\.\]$' then regexp_replace(ccs_group2, '\[[0-9]+\.\]$', '') + when ccs_group1 ~ '\[([0-9]+)\.\]$' then regexp_replace(ccs_group1, '\[[0-9]+\.\]$', '') + else null end as ccs_name + -- extract the trailing ccs_id from name, i.e. "burns [240.]" -> "240" + , coalesce( + substring(ccs_group4, '\[([0-9]+)\.\]$'), + substring(ccs_group3, '\[([0-9]+)\.\]$'), + substring(ccs_group2, '\[([0-9]+)\.\]$'), + substring(ccs_group1, '\[([0-9]+)\.\]$') + ) as ccs_id + from ccs_dx +) as tt +where ccs_dx.icd9_code = tt.icd9_code; \ No newline at end of file diff --git a/mimic-iii-carevue/code/concepts/36_kdigo_creatinine.sql b/mimic-iii-carevue/code/concepts/36_kdigo_creatinine.sql new file mode 100644 index 000000000..0df6a5cdf --- /dev/null +++ b/mimic-iii-carevue/code/concepts/36_kdigo_creatinine.sql @@ -0,0 +1,38 @@ +drop table if exists kdigo_creatinine; create table kdigo_creatinine as +-- Extract all creatinine values from labevents around patient's ICU stay +with cr as +( +select + ie.icustay_id + , ie.intime, ie.outtime + , le.valuenum as creat + , le.charttime + from icustays ie + left join labevents le + on ie.subject_id = le.subject_id + and le.itemid = 50912 + and le.valuenum is not null + and (cast(extract(epoch from (le.charttime - ie.intime))/(60*60) as numeric)) <= (7*24-6) + and le.charttime >= (ie.intime - interval '6 hour') + and le.charttime <= (ie.intime + interval '7 day') +) +-- add in the lowest value in the previous 48 hours/7 days +select + cr.icustay_id + , cr.charttime + , cr.creat + , min(cr48.creat) as creat_low_past_48hr + , min(cr7.creat) as creat_low_past_7day +from cr +-- add in all creatinine values in the last 48 hours +left join cr cr48 + on cr.icustay_id = cr48.icustay_id + and cr48.charttime < cr.charttime + and (cast(extract(epoch from (cr.charttime - cr48.charttime))/(60*60) as numeric)) <= 48 +-- add in all creatinine values in the last 7 days +left join cr cr7 + on cr.icustay_id = cr7.icustay_id + and cr7.charttime < cr.charttime + and (cast(extract(epoch from (cr.charttime - cr7.charttime))/(60*60*24) as numeric)) <= 7 +group by cr.icustay_id, cr.charttime, cr.creat +order by cr.icustay_id, cr.charttime, cr.creat; \ No newline at end of file diff --git a/mimic-iii-carevue/code/concepts/37_kdigo_uo.sql b/mimic-iii-carevue/code/concepts/37_kdigo_uo.sql new file mode 100644 index 000000000..34eeaf622 --- /dev/null +++ b/mimic-iii-carevue/code/concepts/37_kdigo_uo.sql @@ -0,0 +1,83 @@ +drop table if exists kdigo_uo; create table kdigo_uo as +with ur_stg as +( + select io.icustay_id, io.charttime + -- we have joined each row to all rows preceding within 24 hours + -- we can now sum these rows to get total UO over the last 24 hours + -- we can use case statements to restrict it to only the last 6/12 hours + -- therefore we have three sums: + -- 1) over a 6 hour period + -- 2) over a 12 hour period + -- 3) over a 24 hour period + + -- note that we assume data charted at charttime corresponds to 1 hour of UO + -- therefore we use '5' and '11' to restrict the period, rather than 6/12 + -- this assumption may overestimate UO rate when documentation is done less than hourly + , sum(case when (cast(extract(epoch from (io.charttime - iosum.charttime))/(60*60) as numeric)) <= 5 + then iosum.value + else null end) as urineoutput_6hr + , sum(case when (cast(extract(epoch from (io.charttime - iosum.charttime))/(60*60) as numeric)) <= 11 + then iosum.value + else null end) as urineoutput_12hr + -- 24 hours + , sum(iosum.value) as urineoutput_24hr + + -- retain the earliest time used for each summation + -- this is later used to tabulate rates + , min(case when io.charttime <= (iosum.charttime + interval '5 hour') + then iosum.charttime + else null end) + as starttime_6hr + , min(case when io.charttime <= (iosum.charttime + interval '11 hour') + then iosum.charttime + else null end) + as starttime_12hr + , min(iosum.charttime) as starttime_24hr + from urine_output io + -- this join gives you all UO measurements over a 24 hour period + left join urine_output iosum + on io.icustay_id = iosum.icustay_id + and io.charttime >= iosum.charttime + and io.charttime <= (iosum.charttime + interval '23 hour') + group by io.icustay_id, io.charttime +) +-- calculate hours used to sum UO over +, ur_stg2 as +( + select + icustay_id + , charttime + , urineoutput_6hr + , urineoutput_12hr + , urineoutput_24hr + -- calculate time over which we summed UO + -- note: adding 1 hour as we assume data charted corresponds to previous hour + -- i.e. if documentation is: + -- 10:00, 100 mL + -- 11:00, 50 mL + -- then this is two hours of documentation, even though (11:00 - 10:00) is 1 hour + , round((cast(extract(epoch from (charttime - starttime_6hr))/(60*60) as numeric)), 4) + 1 as uo_tm_6hr + , round((cast(extract(epoch from (charttime - starttime_12hr))/(60*60) as numeric)), 4) + 1 as uo_tm_12hr + , round((cast(extract(epoch from (charttime - starttime_24hr))/(60*60) as numeric)), 4) + 1 as uo_tm_24hr + from ur_stg +) +select + ur.icustay_id +, ur.charttime +, wd.weight +, ur.urineoutput_6hr +, ur.urineoutput_12hr +, ur.urineoutput_24hr +, round(cast((ur.urineoutput_6hr/wd.weight/uo_tm_6hr) as numeric), 4) as uo_rt_6hr +, round(cast((ur.urineoutput_12hr/wd.weight/uo_tm_12hr) as numeric), 4) as uo_rt_12hr +, round(cast((ur.urineoutput_24hr/wd.weight/uo_tm_24hr) as numeric), 4) as uo_rt_24hr +-- time of earliest uo measurement that was used to calculate the rate +, uo_tm_6hr +, uo_tm_12hr +, uo_tm_24hr +from ur_stg2 ur +left join weight_durations wd + on ur.icustay_id = wd.icustay_id + and ur.charttime >= wd.starttime + and ur.charttime < wd.endtime +order by icustay_id, charttime; \ No newline at end of file diff --git a/mimic-iii-carevue/code/concepts/38_kdigo_stages.sql b/mimic-iii-carevue/code/concepts/38_kdigo_stages.sql new file mode 100644 index 000000000..f9e00712d --- /dev/null +++ b/mimic-iii-carevue/code/concepts/38_kdigo_stages.sql @@ -0,0 +1,91 @@ +drop table if exists kdigo_stages; create table kdigo_stages as +-- This query checks if the patient had AKI according to KDIGO. +-- AKI is calculated every time a creatinine or urine output measurement occurs. +-- Baseline creatinine is defined as the lowest creatinine in the past 7 days. + +-- get creatinine stages +with cr_stg as +( + select + cr.icustay_id + , cr.charttime + , cr.creat + , case + -- 3x baseline + when cr.creat >= (cr.creat_low_past_7day*3.0) then 3 + -- *OR* cr >= 4.0 with associated increase + when cr.creat >= 4 + -- For patients reaching Stage 3 by SCr >4.0 mg/dl + -- require that the patient first achieve ... acute increase >= 0.3 within 48 hr + -- *or* an increase of >= 1.5 times baseline + and (cr.creat_low_past_48hr <= 3.7 or cr.creat >= (1.5*cr.creat_low_past_7day)) + then 3 + -- TODO: initiation of RRT + when cr.creat >= (cr.creat_low_past_7day*2.0) then 2 + when cr.creat >= (cr.creat_low_past_48hr+0.3) then 1 + when cr.creat >= (cr.creat_low_past_7day*1.5) then 1 + else 0 end as aki_stage_creat + from kdigo_creatinine cr +) +-- stages for UO / creat +, uo_stg as +( + select + uo.icustay_id + , uo.charttime + , uo.weight + , uo.uo_rt_6hr + , uo.uo_rt_12hr + , uo.uo_rt_24hr + -- AKI stages according to urine output + , case + when uo.uo_rt_6hr is null then null + -- require patient to be in icu for at least 6 hours to stage uo + when uo.charttime <= (ie.intime + interval '6 hour') then 0 + -- require the uo rate to be calculated over half the period + -- i.e. for uo rate over 24 hours, require documentation at least 12 hr apart + when uo.uo_tm_24hr >= 11 and uo.uo_rt_24hr < 0.3 then 3 + when uo.uo_tm_12hr >= 5 and uo.uo_rt_12hr = 0 then 3 + when uo.uo_tm_12hr >= 5 and uo.uo_rt_12hr < 0.5 then 2 + when uo.uo_tm_6hr >= 2 and uo.uo_rt_6hr < 0.5 then 1 + else 0 end as aki_stage_uo + from kdigo_uo uo + inner join icustays ie + on uo.icustay_id = ie.icustay_id +) +-- get all charttimes documented +, tm_stg as +( + select + icustay_id, charttime + from cr_stg + union distinct + select + icustay_id, charttime + from uo_stg +) +select + ie.icustay_id + , tm.charttime + , cr.creat + , cr.aki_stage_creat + , uo.uo_rt_6hr + , uo.uo_rt_12hr + , uo.uo_rt_24hr + , uo.aki_stage_uo + -- Classify AKI using both creatinine/urine output criteria + , greatest( + coalesce(cr.aki_stage_creat, 0), + coalesce(uo.aki_stage_uo, 0) + ) as aki_stage +from icustays ie +-- get all possible charttimes as listed in tm_stg +left join tm_stg tm + on ie.icustay_id = tm.icustay_id +left join cr_stg cr + on ie.icustay_id = cr.icustay_id + and tm.charttime = cr.charttime +left join uo_stg uo + on ie.icustay_id = uo.icustay_id + and tm.charttime = uo.charttime +order by ie.icustay_id, tm.charttime; \ No newline at end of file diff --git a/mimic-iii-carevue/code/concepts/39_kdigo_stages_7day.sql b/mimic-iii-carevue/code/concepts/39_kdigo_stages_7day.sql new file mode 100644 index 000000000..4bff009f1 --- /dev/null +++ b/mimic-iii-carevue/code/concepts/39_kdigo_stages_7day.sql @@ -0,0 +1,68 @@ +drop table if exists kdigo_stages_7day; create table kdigo_stages_7day as +-- This query checks if the patient had AKI during the first 7 days of their ICU +-- stay according to the KDIGO guideline. +-- https://kdigo.org/wp-content/uploads/2016/10/KDIGO-2012-AKI-Guideline-English.pdf + +-- get the worst staging of creatinine in the first 48 hours +with cr_aki as +( + select + k.icustay_id + , k.charttime + , k.creat + , k.aki_stage_creat + , row_number() over (partition by k.icustay_id order by k.aki_stage_creat desc, k.creat desc) as rn + from icustays ie + inner join kdigo_stages k + on ie.icustay_id = k.icustay_id + where (cast(extract(epoch from (k.charttime - ie.intime))/(60*60) as numeric)) > -6 + and (cast(extract(epoch from (k.charttime - ie.intime))/(60*60*24) as numeric)) <= 7 + and k.aki_stage_creat is not null +) +-- get the worst staging of urine output in the first 48 hours +, uo_aki as +( + select + k.icustay_id + , k.charttime + , k.uo_rt_6hr, k.uo_rt_12hr, k.uo_rt_24hr + , k.aki_stage_uo + , row_number() over + ( + partition by k.icustay_id + order by k.aki_stage_uo desc, k.uo_rt_24hr desc, k.uo_rt_12hr desc, k.uo_rt_6hr desc + ) as rn + from icustays ie + inner join kdigo_stages k + on ie.icustay_id = k.icustay_id + where (cast(extract(epoch from (k.charttime - ie.intime))/(60*60) as numeric)) > -6 + and (cast(extract(epoch from (k.charttime - ie.intime))/(60*60*24) as numeric)) <= 7 + and k.aki_stage_uo is not null +) +-- final table is aki_stage, include worst cr/uo for convenience +select + ie.icustay_id + , cr.charttime as charttime_creat + , cr.creat + , cr.aki_stage_creat + , uo.charttime as charttime_uo + , uo.uo_rt_6hr + , uo.uo_rt_12hr + , uo.uo_rt_24hr + , uo.aki_stage_uo + + -- classify aki using both creatinine/urine output criteria + , greatest( + coalesce(cr.aki_stage_creat, 0), + coalesce(uo.aki_stage_uo, 0) + ) as aki_stage_7day + , case when cr.aki_stage_creat > 0 or uo.aki_stage_uo > 0 then 1 else 0 end as aki_7day + +from icustays ie +left join cr_aki cr + on ie.icustay_id = cr.icustay_id + and cr.rn = 1 +left join uo_aki uo + on ie.icustay_id = uo.icustay_id + and uo.rn = 1 +order by ie.icustay_id; diff --git a/mimic-iii-carevue/code/concepts/40_kdigo_stages_48hr.sql b/mimic-iii-carevue/code/concepts/40_kdigo_stages_48hr.sql new file mode 100644 index 000000000..f38286b29 --- /dev/null +++ b/mimic-iii-carevue/code/concepts/40_kdigo_stages_48hr.sql @@ -0,0 +1,68 @@ +drop table if exists kdigo_stages_48hr; create table kdigo_stages_48hr as +-- This query checks if the patient had AKI during the first 48 hours of their ICU +-- stay according to the KDIGO guideline. +-- https://kdigo.org/wp-content/uploads/2016/10/KDIGO-2012-AKI-Guideline-English.pdf + +-- get the worst staging of creatinine in the first 48 hours +with cr_aki as +( + select + k.icustay_id + , k.charttime + , k.creat + , k.aki_stage_creat + , row_number() over (partition by k.icustay_id order by k.aki_stage_creat desc, k.creat desc) as rn + from icustays ie + inner join kdigo_stages k + on ie.icustay_id = k.icustay_id + where (cast(extract(epoch from (k.charttime - ie.intime))/(60*60) as numeric)) > -6 + and (cast(extract(epoch from (k.charttime - ie.intime))/(60*60) as numeric)) <= 48 + and k.aki_stage_creat is not null +) +-- get the worst staging of urine output in the first 48 hours +, uo_aki as +( + select + k.icustay_id + , k.charttime + , k.uo_rt_6hr, k.uo_rt_12hr, k.uo_rt_24hr + , k.aki_stage_uo + , row_number() over + ( + partition by k.icustay_id + order by k.aki_stage_uo desc, k.uo_rt_24hr desc, k.uo_rt_12hr desc, k.uo_rt_6hr desc + ) as rn + from icustays ie + inner join kdigo_stages k + on ie.icustay_id = k.icustay_id + where (cast(extract(epoch from (k.charttime - ie.intime))/(60*60) as numeric)) > -6 + and (cast(extract(epoch from (k.charttime - ie.intime))/(60*60) as numeric)) <= 48 + and k.aki_stage_uo is not null +) +-- final table is aki_stage, include worst cr/uo for convenience +select + ie.icustay_id + , cr.charttime as charttime_creat + , cr.creat + , cr.aki_stage_creat + , uo.charttime as charttime_uo + , uo.uo_rt_6hr + , uo.uo_rt_12hr + , uo.uo_rt_24hr + , uo.aki_stage_uo + + -- classify aki using both creatinine/urine output criteria + , greatest( + coalesce(cr.aki_stage_creat, 0), + coalesce(uo.aki_stage_uo, 0) + ) as aki_stage_48hr + , case when cr.aki_stage_creat > 0 or uo.aki_stage_uo > 0 then 1 else 0 end as aki_48hr + +from icustays ie +left join cr_aki cr + on ie.icustay_id = cr.icustay_id + and cr.rn = 1 +left join uo_aki uo + on ie.icustay_id = uo.icustay_id + and uo.rn = 1 +order by ie.icustay_id; diff --git a/mimic-iii-carevue/code/concepts/41_meld.sql b/mimic-iii-carevue/code/concepts/41_meld.sql new file mode 100644 index 000000000..cb0efe8d7 --- /dev/null +++ b/mimic-iii-carevue/code/concepts/41_meld.sql @@ -0,0 +1,157 @@ +drop table if exists meld; create table meld as +-- Model for end-stage liver disease (MELD) +-- This model is used to determine prognosis and receipt of liver transplantation. + +-- Reference: +-- Kamath PS, Wiesner RH, Malinchoc M, Kremers W, Therneau TM, +-- Kosberg CL, D'Amico G, Dickson ER, Kim WR. +-- A model to predict survival in patients with end-stage liver disease. +-- Hepatology. 2001 Feb;33(2):464-70. + + +-- Updated January 2016 to include serum sodium, see: +-- https://optn.transplant.hrsa.gov/news/meld-serum-sodium-policy-changes/ + +-- Here is the relevant portion of the policy note: +-- 9.1.D MELD Score +-- Candidates who are at least 12 years old receive an initial MELD(i) score equal to: +-- 0.957 x ln(creatinine mg/dL) + 0.378 x ln(bilirubin mg/dL) + 1.120 x ln(INR) + 0.643 + +-- Laboratory values less than 1.0 will be set to 1.0 when calculating a candidate’s MELD +-- score. + +-- The following candidates will receive a creatinine value of 4.0 mg/dL: +-- - Candidates with a creatinine value greater than 4.0 mg/dL +-- - Candidates who received two or more dialysis treatments within the prior week +-- - Candidates who received 24 hours of continuous veno-venous hemodialysis (CVVHD) within the prior week + +-- The maximum MELD score is 40. The MELD score derived from this calculation will be rounded to the tenth decimal place and then multiplied by 10. + +-- For candidates with an initial MELD score greater than 11, The MELD score is then recalculated as follows: +-- MELD = MELD(i) + 1.32*(137-Na) – [0.033*MELD(i)*(137-Na)] +-- Sodium values less than 125 mmol/L will be set to 125, and values greater than 137 mmol/L will be set to 137. + + + +-- TODO needed in this code: +-- 1. identify 2x dialysis in the past week, or 24 hours of CVVH +-- at the moment it just checks for any dialysis on the day +-- 2. adjust the serum sodium using the corresponding glucose measurement +-- Measured sodium + 0.024 * (Serum glucose - 100) (Hiller, 1999) + +with cohort as +( +select ie.subject_id, ie.hadm_id, ie.icustay_id + , ie.intime + , ie.outtime + + , labs.creatinine_max + , labs.bilirubin_max + , labs.inr_max + , labs.sodium_min + + , r.rrt + +from icustays ie +inner join admissions adm + on ie.hadm_id = adm.hadm_id +inner join patients pat + on ie.subject_id = pat.subject_id + +-- join to custom tables to get more data.... +left join labs_first_day labs + on ie.icustay_id = labs.icustay_id +left join rrt_first_day r + on ie.icustay_id = r.icustay_id +) +, score as +( + select subject_id, hadm_id, icustay_id + , rrt + , creatinine_max + , bilirubin_max + , inr_max + , sodium_min + + -- TODO: Corrected Sodium + , case + when sodium_min is null + then 0.0 + when sodium_min > 137 + then 0.0 + when sodium_min < 125 + then 12.0 -- 137 - 125 = 12 + else 137.0-sodium_min + end as sodium_score + + -- if hemodialysis, value for Creatinine is automatically set to 4.0 + , case + when rrt = 1 or creatinine_max > 4.0 + then (0.957 * ln(4)) + -- if creatinine < 1, score is 1 + when creatinine_max < 1 + then (0.957 * ln(1)) + else 0.957 * coalesce(ln(creatinine_max),ln(1)) + end as creatinine_score + + , case + -- if value < 1, score is 1 + when bilirubin_max < 1 + then 0.378 * ln(1) + else 0.378 * coalesce(ln(bilirubin_max),ln(1)) + end as bilirubin_score + + , case + when inr_max < 1 + then ( 1.120 * ln(1) + 0.643 ) + else ( 1.120 * coalesce(ln(inr_max),ln(1)) + 0.643 ) + end as inr_score + + from cohort +) +, score2 as +( + select + subject_id, hadm_id, icustay_id + , rrt + , creatinine_max + , bilirubin_max + , inr_max + , sodium_min + + , creatinine_score + , sodium_score + , bilirubin_score + , inr_score + + , case + when (creatinine_score + bilirubin_score + inr_score) > 40 + then 40.0 + else + round(cast(creatinine_score + bilirubin_score + inr_score as numeric),1)*10 + end as meld_initial + from score +) +select + subject_id, hadm_id, icustay_id + + -- MELD Score without sodium change + , meld_initial + + -- MELD Score (2016) = MELD*10 + 1.32*(137-Na) – [0.033*MELD*10*(137-Na)] + , case + when meld_initial > 11 + then meld_initial + 1.32*sodium_score - 0.033*meld_initial*sodium_score + else + meld_initial + end as meld + + -- original variables + , rrt + , creatinine_max + , bilirubin_max + , inr_max + , sodium_min + +from score2 +order by icustay_id; \ No newline at end of file diff --git a/mimic-iii-carevue/code/concepts/42_oasis.sql b/mimic-iii-carevue/code/concepts/42_oasis.sql new file mode 100644 index 000000000..04f4c6575 --- /dev/null +++ b/mimic-iii-carevue/code/concepts/42_oasis.sql @@ -0,0 +1,253 @@ +drop table if exists oasis; create table oasis as +-- ------------------------------------------------------------------ +-- Title: Oxford Acute Severity of Illness Score (oasis) +-- This query extracts the Oxford acute severity of illness score. +-- This score is a measure of severity of illness for patients in the ICU. +-- The score is calculated on the first day of each ICU patients' stay. +-- ------------------------------------------------------------------ + +-- Reference for OASIS: +-- Johnson, Alistair EW, Andrew A. Kramer, and Gari D. Clifford. +-- "A new severity of illness scale using a subset of acute physiology and chronic health evaluation data elements shows comparable predictive accuracy*." +-- Critical care medicine 41, no. 7 (2013): 1711-1718. + +-- Variables used in OASIS: +-- Heart rate, GCS, MAP, Temperature, Respiratory rate, Ventilation status (sourced FROM chartevents) +-- Urine output (sourced from OUTPUTEVENTS) +-- Elective surgery (sourced FROM admissions and SERVICES) +-- Pre-ICU in-hospital length of stay (sourced FROM admissions and ICUSTAYS) +-- Age (sourced FROM patients) + +-- The following views are required to run this query: +-- 1) urine_output_first_day - generated by urine-output-first-day.sql +-- 2) vent_first_day - generated by ventilated-first-day.sql +-- 3) vitals_first_day - generated by vitals-first-day.sql +-- 4) gcs_first_day - generated by gcs-first-day.sql + + +-- Regarding missing values: +-- The ventilation flag is always 0/1. It cannot be missing, since VENT=0 if no data is found for vent settings. + +-- Note: +-- The score is calculated for *all* ICU patients, with the assumption that the user will subselect appropriate ICUSTAY_IDs. +-- For example, the score is calculated for neonates, but it is likely inappropriate to actually use the score values for these patients. + + +with surgflag as +( + select ie.icustay_id + , max(case + when lower(curr_service) like '%surg%' then 1 + when curr_service = 'ORTHO' then 1 + else 0 end) as surgical + from icustays ie + left join services se + on ie.hadm_id = se.hadm_id + and se.transfertime < (ie.intime + interval '1 day') + group by ie.icustay_id +) +, cohort as +( +select ie.subject_id, ie.hadm_id, ie.icustay_id + , ie.intime + , ie.outtime + , adm.deathtime + , round((cast(extract(epoch from (ie.intime - adm.admittime))/(60) as numeric)),2) as preiculos + , round((cast(extract(epoch from (ie.intime - pat.dob))/(60*60*24*365) as numeric)),0) as age + , gcs.mingcs + , vital.heartrate_max + , vital.heartrate_min + , vital.meanbp_max + , vital.meanbp_min + , vital.resprate_max + , vital.resprate_min + , vital.tempc_max + , vital.tempc_min + , vent.vent as mechvent + , uo.urineoutput + + , case + when adm.admission_type = 'ELECTIVE' and sf.surgical = 1 + then 1 + when adm.admission_type is null or sf.surgical is null + then null + else 0 + end as electivesurgery + + -- age group + , case + when (cast(extract(epoch from (ie.intime - pat.dob))/(60*60*24*365) as numeric)) <= 1 then 'neonate' + when (cast(extract(epoch from (ie.intime - pat.dob))/(60*60*24*365) as numeric)) <= 15 then 'middle' + else 'adult' end as icustay_age_group + + -- mortality flags + , case + when adm.deathtime between ie.intime and ie.outtime + then 1 + when adm.deathtime <= ie.intime -- sometimes there are typographical errors in the death date + then 1 + when adm.dischtime <= ie.outtime and adm.discharge_location = 'DEAD/EXPIRED' + then 1 + else 0 end + as icustay_expire_flag + , adm.hospital_expire_flag +from icustays ie +inner join admissions adm + on ie.hadm_id = adm.hadm_id +inner join patients pat + on ie.subject_id = pat.subject_id +left join surgflag sf + on ie.icustay_id = sf.icustay_id +-- join to custom tables to get more data.... +left join gcs_first_day gcs + on ie.icustay_id = gcs.icustay_id +left join vitals_first_day vital + on ie.icustay_id = vital.icustay_id +left join urine_output_first_day uo + on ie.icustay_id = uo.icustay_id +left join ventilation_first_day vent + on ie.icustay_id = vent.icustay_id +) +, scorecomp as +( +select co.subject_id, co.hadm_id, co.icustay_id +, co.icustay_age_group +, co.icustay_expire_flag +, co.hospital_expire_flag + +-- Below code calculates the component scores needed for oasis +, case when preiculos is null then null + when preiculos < 10.2 then 5 + when preiculos < 297 then 3 + when preiculos < 1440 then 0 + when preiculos < 18708 then 1 + else 2 end as preiculos_score +, case when age is null then null + when age < 24 then 0 + when age <= 53 then 3 + when age <= 77 then 6 + when age <= 89 then 9 + when age >= 90 then 7 + else 0 end as age_score +, case when mingcs is null then null + when mingcs <= 7 then 10 + when mingcs < 14 then 4 + when mingcs = 14 then 3 + else 0 end as gcs_score +, case when heartrate_max is null then null + when heartrate_max > 125 then 6 + when heartrate_min < 33 then 4 + when heartrate_max >= 107 and heartrate_max <= 125 then 3 + when heartrate_max >= 89 and heartrate_max <= 106 then 1 + else 0 end as heartrate_score +, case when meanbp_min is null then null + when meanbp_min < 20.65 then 4 + when meanbp_min < 51 then 3 + when meanbp_max > 143.44 then 3 + when meanbp_min >= 51 and meanbp_min < 61.33 then 2 + else 0 end as meanbp_score +, case when resprate_min is null then null + when resprate_min < 6 then 10 + when resprate_max > 44 then 9 + when resprate_max > 30 then 6 + when resprate_max > 22 then 1 + when resprate_min < 13 then 1 else 0 + end as resprate_score +, case when tempc_max is null then null + when tempc_max > 39.88 then 6 + when tempc_min >= 33.22 and tempc_min <= 35.93 then 4 + when tempc_max >= 33.22 and tempc_max <= 35.93 then 4 + when tempc_min < 33.22 then 3 + when tempc_min > 35.93 and tempc_min <= 36.39 then 2 + when tempc_max >= 36.89 and tempc_max <= 39.88 then 2 + else 0 end as temp_score +, case when UrineOutput is null then null + when UrineOutput < 671.09 then 10 + when UrineOutput > 6896.80 then 8 + when UrineOutput >= 671.09 + and UrineOutput <= 1426.99 then 5 + when UrineOutput >= 1427.00 + and UrineOutput <= 2544.14 then 1 + else 0 end as urineoutput_score +, case when mechvent is null then null + when mechvent = 1 then 9 + else 0 end as mechvent_score +, case when electivesurgery is null then null + when electivesurgery = 1 then 0 + else 6 end as electivesurgery_score + + +-- The below code gives the component associated with each score +-- This is not needed to calculate oasis, but provided for user convenience. +-- If both the min/max are in the normal range (score of 0), then the average value is stored. +, preiculos +, age +, mingcs as gcs +, case when heartrate_max is null then null + when heartrate_max > 125 then heartrate_max + when heartrate_min < 33 then heartrate_min + when heartrate_max >= 107 and heartrate_max <= 125 then heartrate_max + when heartrate_max >= 89 and heartrate_max <= 106 then heartrate_max + else (heartrate_min+heartrate_max)/2 end as heartrate +, case when meanbp_min is null then null + when meanbp_min < 20.65 then meanbp_min + when meanbp_min < 51 then meanbp_min + when meanbp_max > 143.44 then meanbp_max + when meanbp_min >= 51 and meanbp_min < 61.33 then meanbp_min + else (meanbp_min+meanbp_max)/2 end as meanbp +, case when resprate_min is null then null + when resprate_min < 6 then resprate_min + when resprate_max > 44 then resprate_max + when resprate_max > 30 then resprate_max + when resprate_max > 22 then resprate_max + when resprate_min < 13 then resprate_min + else (resprate_min+resprate_max)/2 end as resprate +, case when tempc_max is null then null + when tempc_max > 39.88 then tempc_max + when tempc_min >= 33.22 and tempc_min <= 35.93 then tempc_min + when tempc_max >= 33.22 and tempc_max <= 35.93 then tempc_max + when tempc_min < 33.22 then tempc_min + when tempc_min > 35.93 and tempc_min <= 36.39 then tempc_min + when tempc_max >= 36.89 and tempc_max <= 39.88 then tempc_max + else (tempc_min+tempc_max)/2 end as temp +, urineoutput +, mechvent +, electivesurgery +from cohort co +) +, score as +( +select s.* + , coalesce(age_score,0) + + coalesce(preiculos_score,0) + + coalesce(gcs_score,0) + + coalesce(heartrate_score,0) + + coalesce(meanbp_score,0) + + coalesce(resprate_score,0) + + coalesce(temp_score,0) + + coalesce(urineoutput_score,0) + + coalesce(mechvent_score,0) + + coalesce(electivesurgery_score,0) + as oasis +from scorecomp s +) +select + subject_id, hadm_id, icustay_id + , icustay_age_group + , hospital_expire_flag + , icustay_expire_flag + , oasis + -- Calculate the probability of in-hospital mortality + , 1 / (1 + exp(- (-6.1746 + 0.1275*(oasis) ))) as oasis_prob + , age, age_score + , preiculos, preiculos_score + , gcs, gcs_score + , heartrate, heartrate_score + , meanbp, meanbp_score + , resprate, resprate_score + , temp, temp_score + , urineoutput, urineoutput_score + , mechvent, mechvent_score + , electivesurgery, electivesurgery_score +from score +order by icustay_id; \ No newline at end of file diff --git a/mimic-iii-carevue/code/concepts/43_sofa.sql b/mimic-iii-carevue/code/concepts/43_sofa.sql new file mode 100644 index 000000000..f14bd8ae7 --- /dev/null +++ b/mimic-iii-carevue/code/concepts/43_sofa.sql @@ -0,0 +1,242 @@ +drop table if exists sofa; create table sofa as +-- ------------------------------------------------------------------ +-- Title: Sequential Organ Failure Assessment (SOFA) +-- This query extracts the sequential organ failure assessment (formally: sepsis-related organ failure assessment). +-- This score is a measure of organ failure for patients in the ICU. +-- The score is calculated on the first day of each ICU patients' stay. +-- ------------------------------------------------------------------ + +-- Reference for SOFA: +-- Jean-Louis Vincent, Rui Moreno, Jukka Takala, Sheila Willatts, Arnaldo De Mendonça, +-- Hajo Bruining, C. K. Reinhart, Peter M Suter, and L. G. Thijs. +-- "The SOFA (Sepsis-related Organ Failure Assessment) score to describe organ dysfunction/failure." +-- Intensive care medicine 22, no. 7 (1996): 707-710. + +-- Variables used in SOFA: +-- GCS, MAP, FiO2, Ventilation status (sourced FROM chartevents) +-- Creatinine, Bilirubin, FiO2, PaO2, Platelets (sourced FROM labevents) +-- Dobutamine, Epinephrine, Norepinephrine (sourced FROM inputevents_mv and INPUTEVENTS_CV) +-- Urine output (sourced from OUTPUTEVENTS) + +-- The following views required to run this query: +-- 1) urine_output_first_day - generated by urine-output-first-day.sql +-- 2) vitals_first_day - generated by vitals-first-day.sql +-- 3) gcs_first_day - generated by gcs-first-day.sql +-- 4) labs_first_day - generated by labs-first-day.sql +-- 5) blood_gas_first_day_arterial - generated by blood-gas-first-day-arterial.sql +-- 6) ventilation_durations - generated by ventilation_durations.sql + +-- Note: +-- The score is calculated for *all* ICU patients, with the assumption that the user will subselect appropriate ICUSTAY_IDs. +-- For example, the score is calculated for neonates, but it is likely inappropriate to actually use the score values for these patients. + +with wt as +( + select ie.icustay_id + -- ensure weight is measured in kg + , avg(case + when itemid in (762, 763, 3723, 3580, 226512) + then valuenum + -- convert lbs to kgs + when itemid in (3581) + then valuenum * 0.45359237 + when itemid in (3582) + then valuenum * 0.0283495231 + else null + end) as weight + + from icustays ie + left join chartevents c + on ie.icustay_id = c.icustay_id + where valuenum is not null + and itemid in + ( + 762, 763, 3723, 3580, -- Weight Kg + 3581, -- Weight lb + 3582, -- Weight oz + 226512 -- Metavision: Admission Weight (Kg) + ) + and valuenum != 0 + and charttime between (ie.intime - interval '1 day') and (ie.intime + interval '1 day') + -- exclude rows marked as error + and (c.error is null or c.error = 0) + group by ie.icustay_id +) + +, vaso_cv as +( + select ie.icustay_id + -- case statement determining whether the ITEMID is an instance of vasopressor usage + , max(case + when itemid = 30047 then rate / wt.weight -- measured in mcgmin + when itemid = 30120 then rate -- measured in mcgkgmin ** there are clear errors, perhaps actually mcgmin + else null + end) as rate_norepinephrine + + , max(case + when itemid = 30044 then rate / wt.weight -- measured in mcgmin + when itemid in (30119,30309) then rate -- measured in mcgkgmin + else null + end) as rate_epinephrine + + , max(case when itemid in (30043,30307) then rate end) as rate_dopamine + , max(case when itemid in (30042,30306) then rate end) as rate_dobutamine + + from icustays ie + inner join inputevents_cv cv + on ie.icustay_id = cv.icustay_id and cv.charttime between ie.intime and (ie.intime + interval '1 day') + left join wt + on ie.icustay_id = wt.icustay_id + where itemid in (30047,30120,30044,30119,30309,30043,30307,30042,30306) + and rate is not null + group by ie.icustay_id +) + +, pafi1 as +( + -- join blood gas to ventilation durations to determine if patient was vent + select bg.icustay_id, bg.charttime + , pao2fio2 + , case when vd.icustay_id is not null then 1 else 0 end as isvent + from blood_gas_first_day_arterial bg + left join ventilation_durations vd + on bg.icustay_id = vd.icustay_id + and bg.charttime >= vd.starttime + and bg.charttime <= vd.endtime + order by bg.icustay_id, bg.charttime +) +, pafi2 as +( + -- because pafi has an interaction between vent/PaO2:FiO2, we need two columns for the score + -- it can happen that the lowest unventilated PaO2/FiO2 is 68, but the lowest ventilated PaO2/FiO2 is 120 + -- in this case, the SOFA score is 3, *not* 4. + select icustay_id + , min(case when isvent = 0 then pao2fio2 else null end) as pao2fio2_novent_min + , min(case when isvent = 1 then pao2fio2 else null end) as pao2fio2_vent_min + from pafi1 + group by icustay_id +) +-- Aggregate the components for the score +, scorecomp as +( +select ie.icustay_id + , v.meanbp_min + , cv.rate_norepinephrine + , cv.rate_epinephrine + , cv.rate_dopamine + , cv.rate_dobutamine + + , l.creatinine_max + , l.bilirubin_max + , l.platelet_min + + , pf.pao2fio2_novent_min + , pf.pao2fio2_vent_min + + , uo.urineoutput + + , gcs.mingcs +from icustays ie +left join vaso_cv cv + on ie.icustay_id = cv.icustay_id +left join pafi2 pf + on ie.icustay_id = pf.icustay_id +left join vitals_first_day v + on ie.icustay_id = v.icustay_id +left join labs_first_day l + on ie.icustay_id = l.icustay_id +left join urine_output_first_day uo + on ie.icustay_id = uo.icustay_id +left join gcs_first_day gcs + on ie.icustay_id = gcs.icustay_id +) +, scorecalc as +( + -- Calculate the final score + -- note that if the underlying data is missing, the component is null + -- eventually these are treated as 0 (normal), but knowing when data is missing is useful for debugging + select icustay_id + -- Respiration + , case + when pao2fio2_vent_min < 100 then 4 + when pao2fio2_vent_min < 200 then 3 + when pao2fio2_novent_min < 300 then 2 + when pao2fio2_novent_min < 400 then 1 + when coalesce(pao2fio2_vent_min, pao2fio2_novent_min) is null then null + else 0 + end as respiration + + -- Coagulation + , case + when platelet_min < 20 then 4 + when platelet_min < 50 then 3 + when platelet_min < 100 then 2 + when platelet_min < 150 then 1 + when platelet_min is null then null + else 0 + end as coagulation + + -- Liver + , case + -- Bilirubin checks in mg/dL + when bilirubin_max >= 12.0 then 4 + when bilirubin_max >= 6.0 then 3 + when bilirubin_max >= 2.0 then 2 + when bilirubin_max >= 1.2 then 1 + when bilirubin_max is null then null + else 0 + end as liver + + -- Cardiovascular + , case + when rate_dopamine > 15 or rate_epinephrine > 0.1 or rate_norepinephrine > 0.1 then 4 + when rate_dopamine > 5 or rate_epinephrine <= 0.1 or rate_norepinephrine <= 0.1 then 3 + when rate_dopamine > 0 or rate_dobutamine > 0 then 2 + when meanbp_min < 70 then 1 + when coalesce(meanbp_min, rate_dopamine, rate_dobutamine, rate_epinephrine, rate_norepinephrine) is null then null + else 0 + end as cardiovascular + + -- Neurological failure (GCS) + , case + when (mingcs >= 13 and mingcs <= 14) then 1 + when (mingcs >= 10 and mingcs <= 12) then 2 + when (mingcs >= 6 and mingcs <= 9) then 3 + when mingcs < 6 then 4 + when mingcs is null then null + else 0 end + as cns + + -- Renal failure - high creatinine or low urine output + , case + when (creatinine_max >= 5.0) then 4 + when urineoutput < 200 then 4 + when (creatinine_max >= 3.5 and creatinine_max < 5.0) then 3 + when urineoutput < 500 then 3 + when (creatinine_max >= 2.0 and creatinine_max < 3.5) then 2 + when (creatinine_max >= 1.2 and creatinine_max < 2.0) then 1 + when coalesce(urineoutput, creatinine_max) is null then null + else 0 end + as renal + from scorecomp +) +select ie.subject_id, ie.hadm_id, ie.icustay_id + -- Combine all the scores to get SOFA + -- Impute 0 if the score is missing + , coalesce(respiration,0) + + coalesce(coagulation,0) + + coalesce(liver,0) + + coalesce(cardiovascular,0) + + coalesce(cns,0) + + coalesce(renal,0) + as sofa +, respiration +, coagulation +, liver +, cardiovascular +, cns +, renal +from icustays ie +left join scorecalc s + on ie.icustay_id = s.icustay_id +order by ie.icustay_id; \ No newline at end of file diff --git a/mimic-iii-carevue/code/concepts/44_saps.sql b/mimic-iii-carevue/code/concepts/44_saps.sql new file mode 100644 index 000000000..ce794ea12 --- /dev/null +++ b/mimic-iii-carevue/code/concepts/44_saps.sql @@ -0,0 +1,335 @@ +drop table if exists saps; create table saps as +-- ------------------------------------------------------------------ +-- Title: Simplified Acute Physiology Score (SAPS) +-- This query extracts the simplified acute physiology score. +-- This score is a measure of patient severity of illness. +-- The score is calculated on the first day of each ICU patients' stay. +-- ------------------------------------------------------------------ + +-- Reference for SAPS: +-- Jean-Roger Le Gall, Philippe Loirat, Annick Alperovitch, Paul Glaser, Claude Granthil, +-- Daniel Mathieu, Philippe Mercier, Remi Thomas, and Daniel Villers. +-- "A simplified acute physiology score for ICU patients." +-- Critical care medicine 12, no. 11 (1984): 975-977. + +-- Variables used in SAPS: +-- Age, GCS +-- VITALS: Heart rate, systolic blood pressure, temperature, respiration rate +-- FLAGS: ventilation/cpap +-- IO: urine output +-- LABS: blood urea nitrogen, hematocrit, WBC, glucose, potassium, sodium, HCO3 + +-- The following views are required to run this query: +-- 1) urine_output_first_day - generated by urine-output-first-day.sql +-- 2) vent_first_day - generated by ventilated-first-day.sql +-- 3) vitals_first_day - generated by vitals-first-day.sql +-- 4) gcs_first_day - generated by gcs-first-day.sql +-- 5) labs_first_day - generated by labs-first-day.sql + +-- Note: +-- The score is calculated for *all* ICU patients, with the assumption that the user will subselect appropriate icustay_ids. +-- For example, the score is calculated for neonates, but it is likely inappropriate to actually use the score values for these patients. + +-- extract CPAP from the "Oxygen Delivery Device" fields +with cpap as +( + select ie.icustay_id + , max(case + when lower(ce.value) like '%cpap%' then 1 + when lower(ce.value) like '%bipap mask%' then 1 + else 0 end) as cpap + from icustays ie + inner join chartevents ce + on ie.icustay_id = ce.icustay_id + and ce.charttime between ie.intime and (ie.intime + interval '1 day') + where itemid in + ( + -- TODO: when metavision data import fixed, check the values in 226732 match the value clause below + 467, 469, 226732 + ) + and (lower(ce.value) like '%cpap%' or lower(ce.value) like '%bipap mask%') + -- exclude rows marked as error + AND (ce.error IS NULL OR ce.error = 0) + group by ie.icustay_id +) +, cohort as +( +select ie.subject_id, ie.hadm_id, ie.icustay_id + , ie.intime + , ie.outtime + + -- the casts ensure the result is numeric.. we could equally extract EPOCH from the interval + -- however this code works in Oracle and Postgres + , round((cast(extract(epoch from (ie.intime - pat.dob))/(60*60*24*365) as numeric)),0) as age + , gcs.mingcs + , vital.heartrate_max + , vital.heartrate_min + , vital.sysbp_max + , vital.sysbp_min + , vital.resprate_max + , vital.resprate_min + , vital.tempc_max + , vital.tempc_min + + , coalesce(vital.glucose_max, labs.glucose_max) as glucose_max + , coalesce(vital.glucose_min, labs.glucose_min) as glucose_min + + , labs.bun_max + , labs.bun_min + , labs.hematocrit_max + , labs.hematocrit_min + , labs.wbc_max + , labs.wbc_min + , labs.sodium_max + , labs.sodium_min + , labs.potassium_max + , labs.potassium_min + , labs.bicarbonate_max + , labs.bicarbonate_min + + , vent.vent as mechvent + , uo.urineoutput + + , cp.cpap + +from icustays ie +inner join admissions adm + on ie.hadm_id = adm.hadm_id +inner join patients pat + on ie.subject_id = pat.subject_id + +-- join to above view to get CPAP +left join cpap cp + on ie.icustay_id = cp.icustay_id + +-- join to custom tables to get more data.... +left join gcs_first_day gcs + on ie.icustay_id = gcs.icustay_id +left join vitals_first_day vital + on ie.icustay_id = vital.icustay_id +left join urine_output_first_day uo + on ie.icustay_id = uo.icustay_id +left join ventilation_first_day vent + on ie.icustay_id = vent.icustay_id +left join labs_first_day labs + on ie.icustay_id = labs.icustay_id +) +, scorecomp as +( +select + cohort.* + -- Below code calculates the component scores needed for SAPS + , case + when age is null then null + when age <= 45 then 0 + when age <= 55 then 1 + when age <= 65 then 2 + when age <= 75 then 3 + when age > 75 then 4 + end as age_score + , case + when heartrate_max is null then null + when heartrate_max >= 180 then 4 + when heartrate_min < 40 then 4 + when heartrate_max >= 140 then 3 + when heartrate_min <= 54 then 3 + when heartrate_max >= 110 then 2 + when heartrate_min <= 69 then 2 + when heartrate_max >= 70 and heartrate_max <= 109 + and heartrate_min >= 70 and heartrate_min <= 109 + then 0 + end as hr_score + , case + when sysbp_min is null then null + when sysbp_max >= 190 then 4 + when sysbp_min < 55 then 4 + when sysbp_max >= 150 then 2 + when sysbp_min <= 79 then 2 + when sysbp_max >= 80 and sysbp_max <= 149 + and sysbp_min >= 80 and sysbp_min <= 149 + then 0 + end as sysbp_score + + , case + when tempc_max is null then null + when tempc_max >= 41.0 then 4 + when tempc_min < 30.0 then 4 + when tempc_max >= 39.0 then 3 + when tempc_min <= 31.9 then 3 + when tempc_min <= 33.9 then 2 + when tempc_max > 38.4 then 1 + when tempc_min < 36.0 then 1 + when tempc_max >= 36.0 and tempc_max <= 38.4 + and tempc_min >= 36.0 and tempc_min <= 38.4 + then 0 + end as temp_score + + , case + when resprate_min is null then null + when resprate_max >= 50 then 4 + when resprate_min < 6 then 4 + when resprate_max >= 35 then 3 + when resprate_min <= 9 then 2 + when resprate_max >= 25 then 1 + when resprate_min <= 11 then 1 + when resprate_max >= 12 and resprate_max <= 24 + and resprate_min >= 12 and resprate_min <= 24 + then 0 + end as resp_score + + , case + when coalesce(mechvent,cpap) is null then null + when cpap = 1 then 3 + when mechvent = 1 then 3 + else 0 + end as vent_score + + , case + when urineoutput is null then null + when urineoutput > 5000.0 then 2 + when urineoutput >= 3500.0 then 1 + when urineoutput >= 700.0 then 0 + when urineoutput >= 500.0 then 2 + when urineoutput >= 200.0 then 3 + when urineoutput < 200.0 then 4 + end as uo_score + + , case + when bun_max is null then null + when bun_max >= 55.0 then 4 + when bun_max >= 36.0 then 3 + when bun_max >= 29.0 then 2 + when bun_max >= 7.50 then 1 + when bun_min < 3.5 then 1 + when bun_max >= 3.5 and bun_max < 7.5 + and bun_min >= 3.5 and bun_min < 7.5 + then 0 + end as bun_score + + , case + when hematocrit_max is null then null + when hematocrit_max >= 60.0 then 4 + when hematocrit_min < 20.0 then 4 + when hematocrit_max >= 50.0 then 2 + when hematocrit_min < 30.0 then 2 + when hematocrit_max >= 46.0 then 1 + when hematocrit_max >= 30.0 and hematocrit_max < 46.0 + and hematocrit_min >= 30.0 and hematocrit_min < 46.0 + then 0 + end as hematocrit_score + + , case + when wbc_max is null then null + when wbc_max >= 40.0 then 4 + when wbc_min < 1.0 then 4 + when wbc_max >= 20.0 then 2 + when wbc_min < 3.0 then 2 + when wbc_max >= 15.0 then 1 + when wbc_max >= 3.0 and wbc_max < 15.0 + and wbc_min >= 3.0 and wbc_min < 15.0 + then 0 + end as wbc_score + + , case + when glucose_max is null then null + when glucose_max >= 44.5 then 4 + when glucose_min < 1.6 then 4 + when glucose_max >= 27.8 then 3 + when glucose_min < 2.8 then 3 + when glucose_min < 3.9 then 2 + when glucose_max >= 14.0 then 1 + when glucose_max >= 3.9 and glucose_max < 14.0 + and glucose_min >= 3.9 and glucose_min < 14.0 + then 0 + end as glucose_score + + , case + when potassium_max is null then null + when potassium_max >= 7.0 then 4 + when potassium_min < 2.5 then 4 + when potassium_max >= 6.0 then 3 + when potassium_min < 3.0 then 2 + when potassium_max >= 5.5 then 1 + when potassium_min < 3.5 then 1 + when potassium_max >= 3.5 and potassium_max < 5.5 + and potassium_min >= 3.5 and potassium_min < 5.5 + then 0 + end as potassium_score + + , case + when sodium_max is null then null + when sodium_max >= 180 then 4 + when sodium_min < 110 then 4 + when sodium_max >= 161 then 3 + when sodium_min < 120 then 3 + when sodium_max >= 156 then 2 + when sodium_min < 130 then 2 + when sodium_max >= 151 then 1 + when sodium_max >= 130 and sodium_max < 151 + and sodium_min >= 130 and sodium_min < 151 + then 0 + end as sodium_score + + , case + when bicarbonate_max is null then null + when bicarbonate_min < 5.0 then 4 + when bicarbonate_max >= 40.0 then 3 + when bicarbonate_min < 10.0 then 3 + when bicarbonate_max >= 30.0 then 1 + when bicarbonate_min < 20.0 then 1 + when bicarbonate_max >= 20.0 and bicarbonate_max < 30.0 + and bicarbonate_min >= 20.0 and bicarbonate_min < 30.0 + then 0 + end as bicarbonate_score + + , case + when mingcs is null then null + when mingcs < 3 then null -- erroneous value/on trach + when mingcs = 3 then 4 + when mingcs < 7 then 3 + when mingcs < 10 then 2 + when mingcs < 13 then 1 + when mingcs >= 13 + and mingcs <= 15 + then 0 + end as gcs_score +from cohort +) +select ie.subject_id, ie.hadm_id, ie.icustay_id +-- coalesce statements impute normal score of zero if data element is missing +, coalesce(age_score,0) ++ coalesce(hr_score,0) ++ coalesce(sysbp_score,0) ++ coalesce(resp_score,0) ++ coalesce(temp_score,0) ++ coalesce(uo_score,0) ++ coalesce(vent_score,0) ++ coalesce(bun_score,0) ++ coalesce(hematocrit_score,0) ++ coalesce(wbc_score,0) ++ coalesce(glucose_score,0) ++ coalesce(potassium_score,0) ++ coalesce(sodium_score,0) ++ coalesce(bicarbonate_score,0) ++ coalesce(gcs_score,0) + as saps +, age_score +, hr_score +, sysbp_score +, resp_score +, temp_score +, uo_score +, vent_score +, bun_score +, hematocrit_score +, wbc_score +, glucose_score +, potassium_score +, sodium_score +, bicarbonate_score +, gcs_score + +from icustays ie +left join scorecomp s + on ie.icustay_id = s.icustay_id +order by ie.icustay_id; \ No newline at end of file diff --git a/mimic-iii-carevue/code/concepts/45_sapsii.sql b/mimic-iii-carevue/code/concepts/45_sapsii.sql new file mode 100644 index 000000000..7cbd6043e --- /dev/null +++ b/mimic-iii-carevue/code/concepts/45_sapsii.sql @@ -0,0 +1,383 @@ +drop table if exists sapsii; create table sapsii as +-- ------------------------------------------------------------------ +-- Title: Simplified Acute Physiology Score II (SAPS II) +-- This query extracts the simplified acute physiology score II. +-- This score is a measure of patient severity of illness. +-- The score is calculated on the first day of each ICU patients' stay. +-- ------------------------------------------------------------------ + +-- Reference for SAPS II: +-- Le Gall, Jean-Roger, Stanley Lemeshow, and Fabienne Saulnier. +-- "A new simplified acute physiology score (SAPS II) based on a European/North American multicenter study." +-- JAMA 270, no. 24 (1993): 2957-2963. + +-- Variables used in SAPS II: +-- Age, GCS +-- VITALS: Heart rate, systolic blood pressure, temperature +-- FLAGS: ventilation/cpap +-- IO: urine output +-- LABS: PaO2/FiO2 ratio, blood urea nitrogen, WBC, potassium, sodium, HCO3 + +-- The following views are required to run this query: +-- 1) urine_output_first_day - generated by urine-output-first-day.sql +-- 2) ventilation_durations - generated by ventilation_durations.sql +-- 3) vitals_first_day - generated by vitals-first-day.sql +-- 4) gcs_first_day - generated by gcs-first-day.sql +-- 5) labs_first_day - generated by labs-first-day.sql +-- 6) blood_gas_arterial_first_day - generated by blood-gas-first-day-arterial.sql + +-- Note: +-- The score is calculated for *all* ICU patients, with the assumption that the user will subselect appropriate ICUSTAY_IDs. +-- For example, the score is calculated for neonates, but it is likely inappropriate to actually use the score values for these patients. + +-- extract CPAP from the "Oxygen Delivery Device" fields +with cpap as +( + select ie.icustay_id + , min(charttime - interval '1 hour') as starttime + , max(charttime + interval '4 hour') as endtime + , max(case + when lower(ce.value) like '%cpap%' then 1 + when lower(ce.value) like '%bipap mask%' then 1 + else 0 end) as cpap + from icustays ie + inner join chartevents ce + on ie.icustay_id = ce.icustay_id + and ce.charttime between ie.intime and (ie.intime + interval '1 day') + where itemid in + ( + -- TODO: when metavision data import fixed, check the values in 226732 match the value clause below + 467, 469, 226732 + ) + and (lower(ce.value) like '%cpap%' or lower(ce.value) like '%bipap mask%') + -- exclude rows marked as error + and (ce.error is null or ce.error = 0) + group by ie.icustay_id +) +-- extract a flag for surgical service +-- this combined with "elective" FROM admissions table defines elective/non-elective surgery +, surgflag as +( + select adm.hadm_id + , case when lower(curr_service) like '%surg%' then 1 else 0 end as surgical + , row_number() over + ( + partition by adm.hadm_id + order by transfertime + ) as serviceorder + from admissions adm + left join services se + on adm.hadm_id = se.hadm_id +) +-- icd-9 diagnostic codes are our best source for comorbidity information +-- unfortunately, they are technically a-causal +-- however, this shouldn't matter too much for the SAPS II comorbidities +, comorb as +( +select hadm_id +-- these are slightly different than elixhauser comorbidities, but based on them +-- they include some non-comorbid ICD-9 codes (e.g. 20302, relapse of multiple myeloma) + , max(case + when substr(icd9_code,1,3) between '042' and '044' then 1 + end) as aids /* HIV and AIDS */ + , max(case + when icd9_code between '20000' and '20238' then 1 -- lymphoma + when icd9_code between '20240' and '20248' then 1 -- leukemia + when icd9_code between '20250' and '20302' then 1 -- lymphoma + when icd9_code between '20310' and '20312' then 1 -- leukemia + when icd9_code between '20302' and '20382' then 1 -- lymphoma + when icd9_code between '20400' and '20522' then 1 -- chronic leukemia + when icd9_code between '20580' and '20702' then 1 -- other myeloid leukemia + when icd9_code between '20720' and '20892' then 1 -- other myeloid leukemia + when substr(icd9_code,1,4) = '2386' then 1 -- lymphoma + when substr(icd9_code,1,4) = '2733' then 1 -- lymphoma + end) as hem + , max(case + when substr(icd9_code,1,4) between '1960' and '1991' then 1 + when icd9_code between '20970' and '20975' then 1 + when icd9_code = '20979' then 1 + when icd9_code = '78951' then 1 + end) as mets /* Metastatic cancer */ + from diagnoses_icd + group by hadm_id +) +, pafi1 as +( + -- join blood gas to ventilation durations to determine if patient was vent + -- also join to cpap table for the same purpose + select bg.icustay_id, bg.charttime + , pao2fio2 + , case when vd.icustay_id is not null then 1 else 0 end as vent + , case when cp.icustay_id is not null then 1 else 0 end as cpap + from blood_gas_first_day_arterial bg + left join ventilation_durations vd + on bg.icustay_id = vd.icustay_id + and bg.charttime >= vd.starttime + and bg.charttime <= vd.endtime + left join cpap cp + on bg.icustay_id = cp.icustay_id + and bg.charttime >= cp.starttime + and bg.charttime <= cp.endtime +) +, pafi2 as +( + -- get the minimum PaO2/FiO2 ratio *only for ventilated/cpap patients* + select icustay_id + , min(pao2fio2) as pao2fio2_vent_min + from pafi1 + where vent = 1 or cpap = 1 + group by icustay_id +) +, cohort as +( +select ie.subject_id, ie.hadm_id, ie.icustay_id + , ie.intime + , ie.outtime + + -- the casts ensure the result is numeric.. we could equally extract EPOCH from the interval + -- however this code works in Oracle and Postgres + , round((cast(extract(epoch from (ie.intime - pat.dob))/(60*60*24*365) as numeric)),0) as age + + , vital.heartrate_max + , vital.heartrate_min + , vital.sysbp_max + , vital.sysbp_min + , vital.tempc_max + , vital.tempc_min + + -- this value is non-null iff the patient is on vent/cpap + , pf.pao2fio2_vent_min + + , uo.urineoutput + + , labs.bun_min + , labs.bun_max + , labs.wbc_min + , labs.wbc_max + , labs.potassium_min + , labs.potassium_max + , labs.sodium_min + , labs.sodium_max + , labs.bicarbonate_min + , labs.bicarbonate_max + , labs.bilirubin_min + , labs.bilirubin_max + + , gcs.mingcs + + , comorb.aids + , comorb.hem + , comorb.mets + + , case + when adm.admission_type = 'ELECTIVE' and sf.surgical = 1 + then 'ScheduledSurgical' + when adm.admission_type != 'ELECTIVE' and sf.surgical = 1 + then 'UnscheduledSurgical' + else 'Medical' + end as admissiontype + + +from icustays ie +inner join admissions adm + on ie.hadm_id = adm.hadm_id +inner join patients pat + on ie.subject_id = pat.subject_id + +-- join to above views +left join pafi2 pf + on ie.icustay_id = pf.icustay_id +left join surgflag sf + on adm.hadm_id = sf.hadm_id and sf.serviceorder = 1 +left join comorb + on ie.hadm_id = comorb.hadm_id + +-- join to custom tables to get more data.... +left join gcs_first_day gcs + on ie.icustay_id = gcs.icustay_id +left join vitals_first_day vital + on ie.icustay_id = vital.icustay_id +left join urine_output_first_day uo + on ie.icustay_id = uo.icustay_id +left join labs_first_day labs + on ie.icustay_id = labs.icustay_id +) +, scorecomp as +( +select + cohort.* + -- Below code calculates the component scores needed for SAPS + , case + when age is null then null + when age < 40 then 0 + when age < 60 then 7 + when age < 70 then 12 + when age < 75 then 15 + when age < 80 then 16 + when age >= 80 then 18 + end as age_score + + , case + when heartrate_max is null then null + when heartrate_min < 40 then 11 + when heartrate_max >= 160 then 7 + when heartrate_max >= 120 then 4 + when heartrate_min < 70 then 2 + when heartrate_max >= 70 and heartrate_max < 120 + and heartrate_min >= 70 and heartrate_min < 120 + then 0 + end as hr_score + + , case + when sysbp_min is null then null + when sysbp_min < 70 then 13 + when sysbp_min < 100 then 5 + when sysbp_max >= 200 then 2 + when sysbp_max >= 100 and sysbp_max < 200 + and sysbp_min >= 100 and sysbp_min < 200 + then 0 + end as sysbp_score + + , case + when tempc_max is null then null + when tempc_min < 39.0 then 0 + when tempc_max >= 39.0 then 3 + end as temp_score + + , case + when pao2fio2_vent_min is null then null + when pao2fio2_vent_min < 100 then 11 + when pao2fio2_vent_min < 200 then 9 + when pao2fio2_vent_min >= 200 then 6 + end as pao2fio2_score + + , case + when urineoutput is null then null + when urineoutput < 500.0 then 11 + when urineoutput < 1000.0 then 4 + when urineoutput >= 1000.0 then 0 + end as uo_score + + , case + when bun_max is null then null + when bun_max < 28.0 then 0 + when bun_max < 84.0 then 6 + when bun_max >= 84.0 then 10 + end as bun_score + + , case + when wbc_max is null then null + when wbc_min < 1.0 then 12 + when wbc_max >= 20.0 then 3 + when wbc_max >= 1.0 and wbc_max < 20.0 + and wbc_min >= 1.0 and wbc_min < 20.0 + then 0 + end as wbc_score + + , case + when potassium_max is null then null + when potassium_min < 3.0 then 3 + when potassium_max >= 5.0 then 3 + when potassium_max >= 3.0 and potassium_max < 5.0 + and potassium_min >= 3.0 and potassium_min < 5.0 + then 0 + end as potassium_score + + , case + when sodium_max is null then null + when sodium_min < 125 then 5 + when sodium_max >= 145 then 1 + when sodium_max >= 125 and sodium_max < 145 + and sodium_min >= 125 and sodium_min < 145 + then 0 + end as sodium_score + + , case + when bicarbonate_max is null then null + when bicarbonate_min < 15.0 then 5 + when bicarbonate_min < 20.0 then 3 + when bicarbonate_max >= 20.0 + and bicarbonate_min >= 20.0 + then 0 + end as bicarbonate_score + + , case + when bilirubin_max is null then null + when bilirubin_max < 4.0 then 0 + when bilirubin_max < 6.0 then 4 + when bilirubin_max >= 6.0 then 9 + end as bilirubin_score + + , case + when mingcs is null then null + when mingcs < 3 then null -- erroneous value/on trach + when mingcs < 6 then 26 + when mingcs < 9 then 13 + when mingcs < 11 then 7 + when mingcs < 14 then 5 + when mingcs >= 14 + and mingcs <= 15 + then 0 + end as gcs_score + + , case + when aids = 1 then 17 + when hem = 1 then 10 + when mets = 1 then 9 + else 0 + end as comorbidity_score + + , case + when admissiontype = 'ScheduledSurgical' then 0 + when admissiontype = 'Medical' then 6 + when admissiontype = 'UnscheduledSurgical' then 8 + else null + end as admissiontype_score + +from cohort +) +-- Calculate SAPS II here so we can use it in the probability calculation below +, score as +( + select s.* + -- coalesce statements impute normal score of zero if data element is missing + , coalesce(age_score,0) + + coalesce(hr_score,0) + + coalesce(sysbp_score,0) + + coalesce(temp_score,0) + + coalesce(pao2fio2_score,0) + + coalesce(uo_score,0) + + coalesce(bun_score,0) + + coalesce(wbc_score,0) + + coalesce(potassium_score,0) + + coalesce(sodium_score,0) + + coalesce(bicarbonate_score,0) + + coalesce(bilirubin_score,0) + + coalesce(gcs_score,0) + + coalesce(comorbidity_score,0) + + coalesce(admissiontype_score,0) + as sapsii + from scorecomp s +) +select ie.subject_id, ie.hadm_id, ie.icustay_id +, sapsii +, 1 / (1 + exp(- (-7.7631 + 0.0737*(sapsii) + 0.9971*(ln(sapsii + 1))) )) as sapsii_prob +, age_score +, hr_score +, sysbp_score +, temp_score +, pao2fio2_score +, uo_score +, bun_score +, wbc_score +, potassium_score +, sodium_score +, bicarbonate_score +, bilirubin_score +, gcs_score +, comorbidity_score +, admissiontype_score +from icustays ie +left join score s + on ie.icustay_id = s.icustay_id +order by ie.icustay_id; diff --git a/mimic-iii-carevue/code/concepts/46_apsiii.sql b/mimic-iii-carevue/code/concepts/46_apsiii.sql new file mode 100644 index 000000000..fee02064f --- /dev/null +++ b/mimic-iii-carevue/code/concepts/46_apsiii.sql @@ -0,0 +1,835 @@ +drop table if exists apsiii; create table apsiii as +-- ------------------------------------------------------------------ +-- Title: Acute Physiology Score III (APS III) +-- This query extracts the acute physiology score III. +-- This score is a measure of patient severity of illness. +-- The score is calculated on the first day of each ICU patients' stay. +-- ------------------------------------------------------------------ + +-- Reference for APS III: +-- Knaus WA, Wagner DP, Draper EA, Zimmerman JE, Bergner M, Bastos PG, Sirio CA, Murphy DJ, Lotring T, Damiano A. +-- The APACHE III prognostic system. Risk prediction of hospital mortality for critically ill hospitalized adults. +-- Chest Journal. 1991 Dec 1;100(6):1619-36. + +-- Reference for the equation for calibrating APS III to hospital mortality: +-- Johnson, A. E. W. (2015). Mortality prediction and acuity assessment in critical care. +-- University of Oxford, Oxford, UK. + +-- Variables used in APS III: +-- GCS +-- VITALS: Heart rate, mean blood pressure, temperature, respiration rate +-- FLAGS: ventilation/cpap, chronic dialysis +-- IO: urine output +-- LABS: pao2, A-aDO2, hematocrit, WBC, creatinine +-- , blood urea nitrogen, sodium, albumin, bilirubin, glucose, pH, pCO2 + +-- The following views are required to run this query: +-- 1) urine_output_first_day - generated by urine-output-first-day.sql +-- 2) ventilation_first_day - generated by ventilated-first-day.sql +-- 3) vitals_first_day - generated by vitals-first-day.sql +-- 4) gcs_first_day - generated by gcs-first-day.sql +-- 5) labs_first_day - generated by labs-first-day.sql + +-- Note: +-- The score is calculated for *all* ICU patients, with the assumption that the user will subselect appropriate icustay_ids. +-- For example, the score is calculated for neonates, but it is likely inappropriate to actually use the score values for these patients. + +-- List of TODO: +-- The site of temperature is not incorporated. Axillary measurements should be increased by 1 degree. +-- Unfortunately the data for metavision is not available at the moment. +-- 674 | Temp. Site +-- 224642 | Temperature Site + +with pa as +( + select bg.icustay_id, bg.charttime + , po2 as PaO2 + , row_number() over (partition by bg.icustay_id order by bg.po2 desc) as rn + from blood_gas_first_day_arterial bg + left join ventilation_durations vd + on bg.icustay_id = vd.icustay_id + and bg.charttime >= vd.starttime + and bg.charttime <= vd.endtime + where vd.icustay_id is null -- patient is *not* ventilated + -- and fio2 < 50, or if no fio2, assume room air + and coalesce(fio2, fio2_chartevents, 21) < 50 + and bg.po2 is not null +) +, aa as +( + -- join blood gas to ventilation durations to determine if patient was vent + -- also join to cpap table for the same purpose + select bg.icustay_id, bg.charttime + , bg.aado2 + , row_number() over (partition by bg.icustay_id order by bg.aado2 desc) as rn + -- row number indicating the highest AaDO2 + from blood_gas_first_day_arterial bg + inner join ventilation_durations vd + on bg.icustay_id = vd.icustay_id + and bg.charttime >= vd.starttime + and bg.charttime <= vd.endtime + where vd.icustay_id is not null -- patient is ventilated + and coalesce(fio2, fio2_chartevents) >= 50 + and bg.aado2 is not null +) +-- because ph/pco2 rules are an interaction *within* a blood gas, we calculate them here +-- the worse score is then taken for the final calculation +, acidbase as +( + select bg.icustay_id + , ph, pco2 as paco2 + , case + when ph is null or pco2 is null then null + when ph < 7.20 then + case + when pco2 < 50 then 12 + else 4 + end + when ph < 7.30 then + case + when pco2 < 30 then 9 + when pco2 < 40 then 6 + when pco2 < 50 then 3 + else 2 + end + when ph < 7.35 then + case + when pco2 < 30 then 9 + when pco2 < 45 then 0 + else 1 + end + when ph < 7.45 then + case + when pco2 < 30 then 5 + when pco2 < 45 then 0 + else 1 + end + when ph < 7.50 then + case + when pco2 < 30 then 5 + when pco2 < 35 then 0 + when pco2 < 45 then 2 + else 12 + end + when ph < 7.60 then + case + when pco2 < 40 then 3 + else 12 + end + else -- ph >= 7.60 + case + when pco2 < 25 then 0 + when pco2 < 40 then 3 + else 12 + end + end as acidbase_score + from blood_gas_first_day_arterial bg + where ph is not null and pco2 is not null +) +, acidbase_max as +( + select icustay_id, acidbase_score, ph, paco2 + -- create integer which indexes maximum value of score with 1 + , row_number() over (partition by icustay_id order by acidbase_score desc) as acidbase_rn + from acidbase +) +-- define acute renal failure (ARF) as: +-- creatinine >=1.5 mg/dl +-- and urine output <410 cc/day +-- and no chronic dialysis +, arf as +( + select ie.icustay_id + , case + when labs.creatinine_max >= 1.5 + and uo.urineoutput < 410 + -- acute renal failure is only coded if the patient is not on chronic dialysis + -- we use ICD-9 coding of ESRD as a proxy for chronic dialysis + and icd.ckd = 0 + then 1 + else 0 end as arf + from icustays ie + left join urine_output_first_day uo + on ie.icustay_id = uo.icustay_id + left join labs_first_day labs + on ie.icustay_id = labs.icustay_id + left join + ( + select hadm_id + , max(case + -- severe kidney failure requiring use of dialysis + when icd9_code in ('5854','5855','5856') then 1 + -- we do not include 5859 as that is sometimes coded for acute-on-chronic ARF + else 0 end) + as ckd + from diagnoses_icd + group by hadm_id + ) icd + on ie.hadm_id = icd.hadm_id +) +, cohort as +( +select ie.subject_id, ie.hadm_id, ie.icustay_id + , ie.intime + , ie.outtime + + , vital.heartrate_min + , vital.heartrate_max + , vital.meanbp_min + , vital.meanbp_max + , vital.tempc_min + , vital.tempc_max + , vital.resprate_min + , vital.resprate_max + + , pa.pao2 + , aa.aado2 + + , ab.ph + , ab.paco2 + , ab.acidbase_score + + , labs.hematocrit_min + , labs.hematocrit_max + , labs.wbc_min + , labs.wbc_max + , labs.creatinine_min + , labs.creatinine_max + , labs.bun_min + , labs.bun_max + , labs.sodium_min + , labs.sodium_max + , labs.albumin_min + , labs.albumin_max + , labs.bilirubin_min + , labs.bilirubin_max + + , case + when labs.glucose_max is null and vital.glucose_max is null + then null + when labs.glucose_max is null or vital.glucose_max > labs.glucose_max + then vital.glucose_max + when vital.glucose_max is null or labs.glucose_max > vital.glucose_max + then labs.glucose_max + else labs.glucose_max -- if equal, just pick labs + end as glucose_max + + , case + when labs.glucose_min is null and vital.glucose_min is null + then null + when labs.glucose_min is null or vital.glucose_min < labs.glucose_min + then vital.glucose_min + when vital.glucose_min is null or labs.glucose_min < vital.glucose_min + then labs.glucose_min + else labs.glucose_min -- if equal, just pick labs + end as glucose_min + + -- , labs.bicarbonate_min + -- , labs.bicarbonate_max + , vent.vent + , uo.urineoutput + -- gcs and its components + , gcs.mingcs + , gcs.gcsmotor, gcs.gcsverbal, gcs.gcseyes, gcs.endotrachflag + -- acute renal failure + , arf.arf as arf + +from icustays ie +inner join admissions adm + on ie.hadm_id = adm.hadm_id +inner join patients pat + on ie.subject_id = pat.subject_id + +-- join to above views - the row number filters to 1 row per icustay_id +left join pa + on ie.icustay_id = pa.icustay_id + and pa.rn = 1 +left join aa + on ie.icustay_id = aa.icustay_id + and aa.rn = 1 +left join acidbase_max ab + on ie.icustay_id = ab.icustay_id + and ab.acidbase_rn = 1 +left join arf + on ie.icustay_id = arf.icustay_id + +-- join to custom tables to get more data.... +left join ventilation_first_day vent + on ie.icustay_id = vent.icustay_id +left join gcs_first_day gcs + on ie.icustay_id = gcs.icustay_id +left join vitals_first_day vital + on ie.icustay_id = vital.icustay_id +left join urine_output_first_day uo + on ie.icustay_id = uo.icustay_id +left join labs_first_day labs + on ie.icustay_id = labs.icustay_id +) +-- First, we calculate the score for the minimum values +, score_min as +( + select cohort.subject_id, cohort.hadm_id, cohort.icustay_id + , case + when heartrate_min is null then null + when heartrate_min < 40 then 8 + when heartrate_min < 50 then 5 + when heartrate_min < 100 then 0 + when heartrate_min < 110 then 1 + when heartrate_min < 120 then 5 + when heartrate_min < 140 then 7 + when heartrate_min < 155 then 13 + when heartrate_min >= 155 then 17 + end as hr_score + + , case + when meanbp_min is null then null + when meanbp_min < 40 then 23 + when meanbp_min < 60 then 15 + when meanbp_min < 70 then 7 + when meanbp_min < 80 then 6 + when meanbp_min < 100 then 0 + when meanbp_min < 120 then 4 + when meanbp_min < 130 then 7 + when meanbp_min < 140 then 9 + when meanbp_min >= 140 then 10 + end as meanbp_score + + -- TODO: add 1 degree to axillary measurements + , case + when tempc_min is null then null + when tempc_min < 33.0 then 20 + when tempc_min < 33.5 then 16 + when tempc_min < 34.0 then 13 + when tempc_min < 35.0 then 8 + when tempc_min < 36.0 then 2 + when tempc_min < 40.0 then 0 + when tempc_min >= 40.0 then 4 + end as temp_score + + , case + when resprate_min is null then null + -- special case for ventilated patients + when vent = 1 and resprate_min < 14 then 0 + when resprate_min < 6 then 17 + when resprate_min < 12 then 8 + when resprate_min < 14 then 7 + when resprate_min < 25 then 0 + when resprate_min < 35 then 6 + when resprate_min < 40 then 9 + when resprate_min < 50 then 11 + when resprate_min >= 50 then 18 + end as resprate_score + + , case + when hematocrit_min is null then null + when hematocrit_min < 41.0 then 3 + when hematocrit_min < 50.0 then 0 + when hematocrit_min >= 50.0 then 3 + end as hematocrit_score + + , case + when wbc_min is null then null + when wbc_min < 1.0 then 19 + when wbc_min < 3.0 then 5 + when wbc_min < 20.0 then 0 + when wbc_min < 25.0 then 1 + when wbc_min >= 25.0 then 5 + end as wbc_score + + , case + when creatinine_min is null then null + when arf = 1 and creatinine_min < 1.5 then 0 + when arf = 1 and creatinine_min >= 1.5 then 10 + when creatinine_min < 0.5 then 3 + when creatinine_min < 1.5 then 0 + when creatinine_min < 1.95 then 4 + when creatinine_min >= 1.95 then 7 + end as creatinine_score + + , case + when bun_min is null then null + when bun_min < 17.0 then 0 + when bun_min < 20.0 then 2 + when bun_min < 40.0 then 7 + when bun_min < 80.0 then 11 + when bun_min >= 80.0 then 12 + end as bun_score + + , case + when sodium_min is null then null + when sodium_min < 120 then 3 + when sodium_min < 135 then 2 + when sodium_min < 155 then 0 + when sodium_min >= 155 then 4 + end as sodium_score + + , case + when albumin_min is null then null + when albumin_min < 2.0 then 11 + when albumin_min < 2.5 then 6 + when albumin_min < 4.5 then 0 + when albumin_min >= 4.5 then 4 + end as albumin_score + + , case + when bilirubin_min is null then null + when bilirubin_min < 2.0 then 0 + when bilirubin_min < 3.0 then 5 + when bilirubin_min < 5.0 then 6 + when bilirubin_min < 8.0 then 8 + when bilirubin_min >= 8.0 then 16 + end as bilirubin_score + + , case + when glucose_min is null then null + when glucose_min < 40 then 8 + when glucose_min < 60 then 9 + when glucose_min < 200 then 0 + when glucose_min < 350 then 3 + when glucose_min >= 350 then 5 + end as glucose_score + +from cohort +) +, score_max as +( + select cohort.subject_id, cohort.hadm_id, cohort.icustay_id + , case + when heartrate_max is null then null + when heartrate_max < 40 then 8 + when heartrate_max < 50 then 5 + when heartrate_max < 100 then 0 + when heartrate_max < 110 then 1 + when heartrate_max < 120 then 5 + when heartrate_max < 140 then 7 + when heartrate_max < 155 then 13 + when heartrate_max >= 155 then 17 + end as hr_score + + , case + when meanbp_max is null then null + when meanbp_max < 40 then 23 + when meanbp_max < 60 then 15 + when meanbp_max < 70 then 7 + when meanbp_max < 80 then 6 + when meanbp_max < 100 then 0 + when meanbp_max < 120 then 4 + when meanbp_max < 130 then 7 + when meanbp_max < 140 then 9 + when meanbp_max >= 140 then 10 + end as meanbp_score + + -- TODO: add 1 degree to axillary measurements + , case + when tempc_max is null then null + when tempc_max < 33.0 then 20 + when tempc_max < 33.5 then 16 + when tempc_max < 34.0 then 13 + when tempc_max < 35.0 then 8 + when tempc_max < 36.0 then 2 + when tempc_max < 40.0 then 0 + when tempc_max >= 40.0 then 4 + end as temp_score + + , case + when resprate_max is null then null + -- special case for ventilated patients + when vent = 1 and resprate_max < 14 then 0 + when resprate_max < 6 then 17 + when resprate_max < 12 then 8 + when resprate_max < 14 then 7 + when resprate_max < 25 then 0 + when resprate_max < 35 then 6 + when resprate_max < 40 then 9 + when resprate_max < 50 then 11 + when resprate_max >= 50 then 18 + end as resprate_score + + , case + when hematocrit_max is null then null + when hematocrit_max < 41.0 then 3 + when hematocrit_max < 50.0 then 0 + when hematocrit_max >= 50.0 then 3 + end as hematocrit_score + + , case + when wbc_max is null then null + when wbc_max < 1.0 then 19 + when wbc_max < 3.0 then 5 + when wbc_max < 20.0 then 0 + when wbc_max < 25.0 then 1 + when wbc_max >= 25.0 then 5 + end as wbc_score + + , case + when creatinine_max is null then null + when arf = 1 and creatinine_max < 1.5 then 0 + when arf = 1 and creatinine_max >= 1.5 then 10 + when creatinine_max < 0.5 then 3 + when creatinine_max < 1.5 then 0 + when creatinine_max < 1.95 then 4 + when creatinine_max >= 1.95 then 7 + end as creatinine_score + + , case + when bun_max is null then null + when bun_max < 17.0 then 0 + when bun_max < 20.0 then 2 + when bun_max < 40.0 then 7 + when bun_max < 80.0 then 11 + when bun_max >= 80.0 then 12 + end as bun_score + + , case + when sodium_max is null then null + when sodium_max < 120 then 3 + when sodium_max < 135 then 2 + when sodium_max < 155 then 0 + when sodium_max >= 155 then 4 + end as sodium_score + + , case + when albumin_max is null then null + when albumin_max < 2.0 then 11 + when albumin_max < 2.5 then 6 + when albumin_max < 4.5 then 0 + when albumin_max >= 4.5 then 4 + end as albumin_score + + , case + when bilirubin_max is null then null + when bilirubin_max < 2.0 then 0 + when bilirubin_max < 3.0 then 5 + when bilirubin_max < 5.0 then 6 + when bilirubin_max < 8.0 then 8 + when bilirubin_max >= 8.0 then 16 + end as bilirubin_score + + , case + when glucose_max is null then null + when glucose_max < 40 then 8 + when glucose_max < 60 then 9 + when glucose_max < 200 then 0 + when glucose_max < 350 then 3 + when glucose_max >= 350 then 5 + end as glucose_score + +from cohort +) +-- Combine together the scores for min/max, using the following rules: +-- 1) select the value furthest from a predefined normal value +-- 2) if both equidistant, choose the one which gives a worse score +-- 3) calculate score for acid-base abnormalities as it requires interactions +-- sometimes the code is a bit redundant, i.e. we know the max would always be furthest from 0 +, scorecomp as +( + select co.* + -- The rules for APS III require the definition of a "worst" value + -- This value is defined as whatever value is furthest from a predefined normal + -- e.g., for heart rate, worst is defined as furthest from 75 + , case + when heartrate_max is null then null + when abs(heartrate_max-75) > abs(heartrate_min-75) + then smax.hr_score + when abs(heartrate_max-75) < abs(heartrate_min-75) + then smin.hr_score + when abs(heartrate_max-75) = abs(heartrate_min-75) + and smax.hr_score >= smin.hr_score + then smax.hr_score + when abs(heartrate_max-75) = abs(heartrate_min-75) + and smax.hr_score < smin.hr_score + then smin.hr_score + end as hr_score + + , case + when meanbp_max is null then null + when abs(meanbp_max-90) > abs(meanbp_min-90) + then smax.meanbp_score + when abs(meanbp_max-90) < abs(meanbp_min-90) + then smin.meanbp_score + -- values are equidistant - pick the larger score + when abs(meanbp_max-90) = abs(meanbp_min-90) + and smax.meanbp_score >= smin.meanbp_score + then smax.meanbp_score + when abs(meanbp_max-90) = abs(meanbp_min-90) + and smax.meanbp_score < smin.meanbp_score + then smin.meanbp_score + end as meanbp_score + + , case + when tempc_max is null then null + when abs(tempc_max-38) > abs(tempc_min-38) + then smax.temp_score + when abs(tempc_max-38) < abs(tempc_min-38) + then smin.temp_score + -- values are equidistant - pick the larger score + when abs(tempc_max-38) = abs(tempc_min-38) + and smax.temp_score >= smin.temp_score + then smax.temp_score + when abs(tempc_max-38) = abs(tempc_min-38) + and smax.temp_score < smin.temp_score + then smin.temp_score + end as temp_score + + , case + when resprate_max is null then null + when abs(resprate_max-19) > abs(resprate_min-19) + then smax.resprate_score + when abs(resprate_max-19) < abs(resprate_min-19) + then smin.resprate_score + -- values are equidistant - pick the larger score + when abs(resprate_max-19) = abs(resprate_max-19) + and smax.resprate_score >= smin.resprate_score + then smax.resprate_score + when abs(resprate_max-19) = abs(resprate_max-19) + and smax.resprate_score < smin.resprate_score + then smin.resprate_score + end as resprate_score + + , case + when hematocrit_max is null then null + when abs(hematocrit_max-45.5) > abs(hematocrit_min-45.5) + then smax.hematocrit_score + when abs(hematocrit_max-45.5) < abs(hematocrit_min-45.5) + then smin.hematocrit_score + -- values are equidistant - pick the larger score + when abs(hematocrit_max-45.5) = abs(hematocrit_max-45.5) + and smax.hematocrit_score >= smin.hematocrit_score + then smax.hematocrit_score + when abs(hematocrit_max-45.5) = abs(hematocrit_max-45.5) + and smax.hematocrit_score < smin.hematocrit_score + then smin.hematocrit_score + end as hematocrit_score + + , case + when wbc_max is null then null + when abs(wbc_max-11.5) > abs(wbc_min-11.5) + then smax.wbc_score + when abs(wbc_max-11.5) < abs(wbc_min-11.5) + then smin.wbc_score + -- values are equidistant - pick the larger score + when abs(wbc_max-11.5) = abs(wbc_max-11.5) + and smax.wbc_score >= smin.wbc_score + then smax.wbc_score + when abs(wbc_max-11.5) = abs(wbc_max-11.5) + and smax.wbc_score < smin.wbc_score + then smin.wbc_score + end as wbc_score + + + -- For some labs, "furthest from normal" doesn't make sense + -- e.g. creatinine w/ ARF, the minimum could be 0.3, and the max 1.6 + -- while the minimum of 0.3 is "further from 1", seems like the max should be scored + + , case + when creatinine_max is null then null + -- if they have arf then use the max to score + when arf = 1 then smax.creatinine_score + -- otherwise furthest from 1 + when abs(creatinine_max-1) > abs(creatinine_min-1) + then smax.creatinine_score + when abs(creatinine_max-1) < abs(creatinine_min-1) + then smin.creatinine_score + -- values are equidistant + when smax.creatinine_score >= smin.creatinine_score + then smax.creatinine_score + when smax.creatinine_score < smin.creatinine_score + then smin.creatinine_score + end as creatinine_score + + -- the rule for BUN is the furthest from 0.. equivalent to the max value + , case + when bun_max is null then null + else smax.bun_score + end as bun_score + + , case + when sodium_max is null then null + when abs(sodium_max-145.5) > abs(sodium_min-145.5) + then smax.sodium_score + when abs(sodium_max-145.5) < abs(sodium_min-145.5) + then smin.sodium_score + -- values are equidistant - pick the larger score + when abs(sodium_max-145.5) = abs(sodium_max-145.5) + and smax.sodium_score >= smin.sodium_score + then smax.sodium_score + when abs(sodium_max-145.5) = abs(sodium_max-145.5) + and smax.sodium_score < smin.sodium_score + then smin.sodium_score + end as sodium_score + + , case + when albumin_max is null then null + when abs(albumin_max-3.5) > abs(albumin_min-3.5) + then smax.albumin_score + when abs(albumin_max-3.5) < abs(albumin_min-3.5) + then smin.albumin_score + -- values are equidistant - pick the larger score + when abs(albumin_max-3.5) = abs(albumin_max-3.5) + and smax.albumin_score >= smin.albumin_score + then smax.albumin_score + when abs(albumin_max-3.5) = abs(albumin_max-3.5) + and smax.albumin_score < smin.albumin_score + then smin.albumin_score + end as albumin_score + + , case + when bilirubin_max is null then null + else smax.bilirubin_score + end as bilirubin_score + + , case + when glucose_max is null then null + when abs(glucose_max-130) > abs(glucose_min-130) + then smax.glucose_score + when abs(glucose_max-130) < abs(glucose_min-130) + then smin.glucose_score + -- values are equidistant - pick the larger score + when abs(glucose_max-130) = abs(glucose_max-130) + and smax.glucose_score >= smin.glucose_score + then smax.glucose_score + when abs(glucose_max-130) = abs(glucose_max-130) + and smax.glucose_score < smin.glucose_score + then smin.glucose_score + end as glucose_score + + + -- Below are interactions/special cases where only 1 value is important + , case + when urineoutput is null then null + when urineoutput < 400 then 15 + when urineoutput < 600 then 8 + when urineoutput < 900 then 7 + when urineoutput < 1500 then 5 + when urineoutput < 2000 then 4 + when urineoutput < 4000 then 0 + when urineoutput >= 4000 then 1 + end as uo_score + + , case + when endotrachflag = 1 + -- here they are intubated, so their verbal score is inappropriate + -- normally you are supposed to use "clinical judgement" + -- we don't have that, so we just assume normal (as was done in the original study) + then 0 + when gcseyes = 1 + then case + when gcsverbal = 1 and gcsmotor in (1,2) + then 48 + when gcsverbal = 1 and gcsmotor in (3,4) + then 33 + when gcsverbal = 1 and gcsmotor in (5,6) + then 16 + when gcsverbal in (2,3) and gcsmotor in (1,2) + then 29 + when gcsverbal in (2,3) and gcsmotor in (3,4) + then 24 + when gcsverbal in (2,3) and gcsmotor >= 5 + -- highly unlikely clinical combination + then null + when gcsverbal >= 4 + then null + end + when gcseyes > 1 + then case + when gcsverbal = 1 and gcsmotor in (1,2) + then 29 + when gcsverbal = 1 and gcsmotor in (3,4) + then 24 + when gcsverbal = 1 and gcsmotor in (5,6) + then 15 + when gcsverbal in (2,3) and gcsmotor in (1,2) + then 29 + when gcsverbal in (2,3) and gcsmotor in (3,4) + then 24 + when gcsverbal in (2,3) and gcsmotor = 5 + then 13 + when gcsverbal in (2,3) and gcsmotor = 6 + then 10 + when gcsverbal = 4 and gcsmotor in (1,2,3,4) + then 13 + when gcsverbal = 4 and gcsmotor = 5 + then 8 + when gcsverbal = 4 and gcsmotor = 6 + then 3 + when gcsverbal = 5 and gcsmotor in (1,2,3,4,5) + then 3 + when gcsverbal = 5 and gcsmotor = 6 + then 0 + end + else null + end as gcs_score + + , case + when pao2 is null and aado2 is null + then null + when pao2 is not null then + case + when pao2 < 50 then 15 + when pao2 < 70 then 5 + when pao2 < 80 then 2 + else 0 end + when aado2 is not null then + case + when aado2 < 100 then 0 + when aado2 < 250 then 7 + when aado2 < 350 then 9 + when aado2 < 500 then 11 + when aado2 >= 500 then 14 + else 0 end + end as pao2_aado2_score + +from cohort co +left join score_min smin + on co.icustay_id = smin.icustay_id +left join score_max smax + on co.icustay_id = smax.icustay_id +) +-- tabulate the APS III using the scores from the worst values +, score as +( + select s.* + -- coalesce statements impute normal score of zero if data element is missing + , coalesce(hr_score,0) + + coalesce(meanbp_score,0) + + coalesce(temp_score,0) + + coalesce(resprate_score,0) + + coalesce(pao2_aado2_score,0) + + coalesce(hematocrit_score,0) + + coalesce(wbc_score,0) + + coalesce(creatinine_score,0) + + coalesce(uo_score,0) + + coalesce(bun_score,0) + + coalesce(sodium_score,0) + + coalesce(albumin_score,0) + + coalesce(bilirubin_score,0) + + coalesce(glucose_score,0) + + coalesce(acidbase_score,0) + + coalesce(gcs_score,0) + as apsiii + from scorecomp s +) +select ie.subject_id, ie.hadm_id, ie.icustay_id +, apsiii +-- Calculate probability of hospital mortality using equation from Johnson 2014. +, 1 / (1 + exp(- (-4.4360 + 0.04726*(apsiii) ))) as apsiii_prob +, hr_score +, meanbp_score +, temp_score +, resprate_score +, pao2_aado2_score +, hematocrit_score +, wbc_score +, creatinine_score +, uo_score +, bun_score +, sodium_score +, albumin_score +, bilirubin_score +, glucose_score +, acidbase_score +, gcs_score +from icustays ie +left join score s + on ie.icustay_id = s.icustay_id +order by ie.icustay_id; \ No newline at end of file diff --git a/mimic-iii-carevue/code/concepts/47_lods.sql b/mimic-iii-carevue/code/concepts/47_lods.sql new file mode 100644 index 000000000..774841f3d --- /dev/null +++ b/mimic-iii-carevue/code/concepts/47_lods.sql @@ -0,0 +1,235 @@ +drop table if exists lods; create table lods as +-- ------------------------------------------------------------------ +-- Title: Logistic Organ Dysfunction Score (LODS) +-- This query extracts the logistic organ dysfunction system. +-- This score is a measure of organ failure in a patient. +-- The score is calculated on the first day of each ICU patients' stay. +-- ------------------------------------------------------------------ + +-- Reference for LODS: +-- Le Gall, J. R., Klar, J., Lemeshow, S., Saulnier, F., Alberti, C., Artigas, A., & Teres, D. +-- The Logistic Organ Dysfunction system: a new way to assess organ dysfunction in the intensive care unit. +-- JAMA 276.10 (1996): 802-810. + +-- Variables used in LODS: +-- GCS +-- VITALS: Heart rate, systolic blood pressure +-- FLAGS: ventilation/cpap +-- IO: urine output +-- LABS: blood urea nitrogen, WBC, bilirubin, creatinine, prothrombin time (PT), platelets +-- ABG: PaO2 with associated FiO2 + +-- The following views are required to run this query: +-- 1) urine_output_first_day - generated by urine-output-first-day.sql +-- 2) ventilation_durations - generated by ventilation_durations.sql +-- 3) vitals_first_day - generated by vitals-first-day.sql +-- 4) gcs_first_day - generated by gcs-first-day.sql +-- 5) labs_first_day - generated by labs-first-day.sql +-- 5) blood_gas_first_day_arterial - generated by blood-gas-first-day-arterial.sql + +-- Note: +-- The score is calculated for *all* ICU patients, with the assumption that the user will subselect appropriate ICUSTAY_IDs. +-- For example, the score is calculated for neonates, but it is likely inappropriate to actually use the score values for these patients. + +-- extract CPAP from the "Oxygen Delivery Device" fields +with cpap as +( + select ie.icustay_id + , min(charttime - interval '1 hour') as starttime + , max(charttime + interval '4 hour') as endtime + , max(case + when lower(ce.value) like '%cpap%' then 1 + when lower(ce.value) like '%bipap mask%' then 1 + else 0 end) as cpap + from icustays ie + inner join chartevents ce + on ie.icustay_id = ce.icustay_id + and ce.charttime between ie.intime and (ie.intime + interval '1 day') + where itemid in + ( + -- TODO: when metavision data import fixed, check the values in 226732 match the value clause below + 467, 469, 226732 + ) + and (lower(ce.value) like '%cpap%' or lower(ce.value) like '%bipap mask%') + -- exclude rows marked as error + and (ce.error is null or ce.error = 0) + group by ie.icustay_id +) +, pafi1 as +( + -- join blood gas to ventilation durations to determine if patient was vent + -- also join to cpap table for the same purpose + select bg.icustay_id, bg.charttime + , pao2fio2 + , case when vd.icustay_id is not null then 1 else 0 end as vent + , case when cp.icustay_id is not null then 1 else 0 end as cpap + from blood_gas_first_day_arterial bg + left join ventilation_durations vd + on bg.icustay_id = vd.icustay_id + and bg.charttime >= vd.starttime + and bg.charttime <= vd.endtime + left join cpap cp + on bg.icustay_id = cp.icustay_id + and bg.charttime >= cp.starttime + and bg.charttime <= cp.endtime +) +, pafi2 as +( + -- get the minimum PaO2/FiO2 ratio *only for ventilated/cpap patients* + select icustay_id + , min(pao2fio2) as pao2fio2_vent_min + from pafi1 + where vent = 1 or cpap = 1 + group by icustay_id +) +, cohort as +( +select ie.subject_id + , ie.hadm_id + , ie.icustay_id + , ie.intime + , ie.outtime + + , gcs.mingcs + , vital.heartrate_max + , vital.heartrate_min + , vital.sysbp_max + , vital.sysbp_min + + -- this value is non-null iff the patient is on vent/cpap + , pf.pao2fio2_vent_min + + , labs.bun_max + , labs.bun_min + , labs.wbc_max + , labs.wbc_min + , labs.bilirubin_max + , labs.creatinine_max + , labs.pt_min + , labs.pt_max + , labs.platelet_min + + , uo.urineoutput + +from icustays ie +inner join admissions adm + on ie.hadm_id = adm.hadm_id +inner join patients pat + on ie.subject_id = pat.subject_id + +-- join to above view to get pao2/fio2 ratio +left join pafi2 pf + on ie.icustay_id = pf.icustay_id + +-- join to custom tables to get more data.... +left join gcs_first_day gcs + on ie.icustay_id = gcs.icustay_id +left join vitals_first_day vital + on ie.icustay_id = vital.icustay_id +left join urine_output_first_day uo + on ie.icustay_id = uo.icustay_id +left join labs_first_day labs + on ie.icustay_id = labs.icustay_id +) +, scorecomp as +( +select + cohort.* + -- Below code calculates the component scores needed for SAPS + + -- neurologic + , case + when mingcs is null then null + when mingcs < 3 then null -- erroneous value/on trach + when mingcs <= 5 then 5 + when mingcs <= 8 then 3 + when mingcs <= 13 then 1 + else 0 + end as neurologic + + -- cardiovascular + , case + when heartrate_max is null + and sysbp_min is null then null + when heartrate_min < 30 then 5 + when sysbp_min < 40 then 5 + when sysbp_min < 70 then 3 + when sysbp_max >= 270 then 3 + when heartrate_max >= 140 then 1 + when sysbp_max >= 240 then 1 + when sysbp_min < 90 then 1 + else 0 + end as cardiovascular + + -- renal + , case + when bun_max is null + or urineoutput is null + or creatinine_max is null + then null + when urineoutput < 500.0 then 5 + when bun_max >= 56.0 then 5 + when creatinine_max >= 1.60 then 3 + when urineoutput < 750.0 then 3 + when bun_max >= 28.0 then 3 + when urineoutput >= 10000.0 then 3 + when creatinine_max >= 1.20 then 1 + when bun_max >= 17.0 then 1 + when bun_max >= 7.50 then 1 + else 0 + end as renal + + -- pulmonary + , case + when pao2fio2_vent_min is null then 0 + when pao2fio2_vent_min >= 150 then 1 + when pao2fio2_vent_min < 150 then 3 + else null + end as pulmonary + + -- hematologic + , case + when wbc_max is null + and platelet_min is null + then null + when wbc_min < 1.0 then 3 + when wbc_min < 2.5 then 1 + when platelet_min < 50.0 then 1 + when wbc_max >= 50.0 then 1 + else 0 + end as hematologic + + -- hepatic + -- We have defined the "standard" PT as 12 seconds. + -- This is an assumption and subsequent analyses may be affected by this assumption. + , case + when pt_max is null + and bilirubin_max is null + then null + when bilirubin_max >= 2.0 then 1 + when pt_max > (12+3) then 1 + when pt_min < (12*0.25) then 1 + else 0 + end as hepatic + +from cohort +) +select ie.subject_id, ie.hadm_id, ie.icustay_id +-- coalesce statements impute normal score of zero if data element is missing +, coalesce(neurologic,0) ++ coalesce(cardiovascular,0) ++ coalesce(renal,0) ++ coalesce(pulmonary,0) ++ coalesce(hematologic,0) ++ coalesce(hepatic,0) + as lods +, neurologic +, cardiovascular +, renal +, pulmonary +, hematologic +, hepatic +from icustays ie +left join scorecomp s + on ie.icustay_id = s.icustay_id +order by ie.icustay_id; \ No newline at end of file diff --git a/mimic-iii-carevue/code/concepts/48_sirs.sql b/mimic-iii-carevue/code/concepts/48_sirs.sql new file mode 100644 index 000000000..c472635f0 --- /dev/null +++ b/mimic-iii-carevue/code/concepts/48_sirs.sql @@ -0,0 +1,112 @@ +drop table if exists sirs; create table sirs as +-- ------------------------------------------------------------------ +-- Title: Systemic inflammatory response syndrome (SIRS) criteria +-- This query extracts the Systemic inflammatory response syndrome (SIRS) criteria +-- The criteria quantify the level of inflammatory response of the body +-- The score is calculated on the first day of each ICU patients' stay. +-- ------------------------------------------------------------------ + +-- Reference for SIRS: +-- American College of Chest Physicians/Society of Critical Care Medicine Consensus Conference: +-- definitions for sepsis and organ failure and guidelines for the use of innovative therapies in sepsis" +-- Crit. Care Med. 20 (6): 864–74. 1992. +-- doi:10.1097/00003246-199206000-00025. PMID 1597042. + +-- Variables used in SIRS: +-- Body temperature (min and max) +-- Heart rate (max) +-- Respiratory rate (max) +-- PaCO2 (min) +-- White blood cell count (min and max) +-- the presence of greater than 10% immature neutrophils (band forms) + +-- The following views required to run this query: +-- 1) vitals_first_day - generated by vitals-first-day.sql +-- 2) labs_first_day - generated by labs-first-day.sql +-- 3) blood_gas_first_day_arterial - generated by blood-gas-first-day-arterial.sql + +-- Note: +-- The score is calculated for *all* ICU patients, with the assumption that the user will subselect appropriate ICUSTAY_IDs. +-- For example, the score is calculated for neonates, but it is likely inappropriate to actually use the score values for these patients. + +with bg as +( + -- join blood gas to ventilation durations to determine if patient was vent + select bg.icustay_id + , min(pco2) as paco2_min + from blood_gas_first_day_arterial bg + where specimen_pred = 'ART' + group by bg.icustay_id +) +-- Aggregate the components for the score +, scorecomp as +( +select ie.icustay_id + , v.tempc_min + , v.tempc_max + , v.heartrate_max + , v.resprate_max + , bg.paco2_min + , l.wbc_min + , l.wbc_max + , l.bands_max +from icustays ie +left join bg + on ie.icustay_id = bg.icustay_id +left join vitals_first_day v + on ie.icustay_id = v.icustay_id +left join labs_first_day l + on ie.icustay_id = l.icustay_id +) +, scorecalc as +( + -- Calculate the final score + -- note that if the underlying data is missing, the component is null + -- eventually these are treated as 0 (normal), but knowing when data is missing is useful for debugging + select icustay_id + + , case + when tempc_min < 36.0 then 1 + when tempc_max > 38.0 then 1 + when tempc_min is null then null + else 0 + end as temp_score + + + , case + when heartrate_max > 90.0 then 1 + when heartrate_max is null then null + else 0 + end as heartrate_score + + , case + when resprate_max > 20.0 then 1 + when paco2_min < 32.0 then 1 + when coalesce(resprate_max, paco2_min) is null then null + else 0 + end as resp_score + + , case + when wbc_min < 4.0 then 1 + when wbc_max > 12.0 then 1 + when bands_max > 10 then 1-- > 10% immature neurophils (band forms) + when coalesce(wbc_min, bands_max) is null then null + else 0 + end as wbc_score + + from scorecomp +) +select + ie.subject_id, ie.hadm_id, ie.icustay_id + -- Combine all the scores to get SOFA + -- Impute 0 if the score is missing + , coalesce(temp_score,0) + + coalesce(heartrate_score,0) + + coalesce(resp_score,0) + + coalesce(wbc_score,0) + as sirs + , temp_score, heartrate_score, resp_score, wbc_score +from icustays ie +left join scorecalc s + on ie.icustay_id = s.icustay_id +order by ie.icustay_id; \ No newline at end of file diff --git a/mimic-iii-carevue/code/concepts/49_qsofa.sql b/mimic-iii-carevue/code/concepts/49_qsofa.sql new file mode 100644 index 000000000..c0a044ff2 --- /dev/null +++ b/mimic-iii-carevue/code/concepts/49_qsofa.sql @@ -0,0 +1,70 @@ +drop table if exists qsofa; create table qsofa as +-- ------------------------------------------------------------------ +-- Title: Quick Sequential Organ Failure Assessment (qSOFA) +-- This query extracts the quick sequential organ failure assessment. +-- This score was a recent revision of SOFA, aiming to detect patients at risk of sepsis. +-- The score is calculated on the first day of each ICU patients' stay - though needn't be. +-- ------------------------------------------------------------------ + +-- Reference for qSOFA: +-- Singer M, et al. The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3) +-- Seymour CW, et al. Assessment of Clinical Criteria for Sepsis: For the Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3) + +-- Variables used in qSOFA: +-- GCS, respiratory rate, systolic blood pressure + +-- The following views required to run this query: +-- 1) gcsfirstday - generated by gcs-first-day.sql +-- 2) vitalsfirstday - generated by vitals-first-day.sql + +-- Note: +-- The score is calculated for *all* ICU patients, with the assumption that the user will subselect appropriate ICUSTAY_IDs. +-- For example, the score is calculated for neonates, but it is likely inappropriate to actually use the score values for these patients. + +with scorecomp as +( +select ie.icustay_id + , v.sysbp_min + , v.resprate_max + , gcs.mingcs +from icustays ie +left join vitals_first_day v + on ie.icustay_id = v.icustay_id +left join gcs_first_day gcs + on ie.icustay_id = gcs.icustay_id +) +, scorecalc as +( + -- Calculate the final score + -- note that if the underlying data is missing, the component is null + -- eventually these are treated as 0 (normal), but knowing when data is missing is useful for debugging + select icustay_id + , case + when sysbp_min is null then null + when sysbp_min <= 100 then 1 + else 0 end + as sysbp_score + , case + when mingcs is null then null + when mingcs <= 13 then 1 + else 0 end + as gcs_score + , case + when resprate_max is null then null + when resprate_max >= 22 then 1 + else 0 end + as resprate_score + from scorecomp +) +select ie.subject_id, ie.hadm_id, ie.icustay_id +, coalesce(sysbp_score,0) + + coalesce(gcs_score,0) + + coalesce(resprate_score,0) + as qsofa +, sysbp_score +, gcs_score +, resprate_score +from icustays ie +left join scorecalc s + on ie.icustay_id = s.icustay_id +order by ie.icustay_id; diff --git a/mimic-iii-carevue/code/concepts/50_sepsis3.sql b/mimic-iii-carevue/code/concepts/50_sepsis3.sql new file mode 100644 index 000000000..0ca9afa07 --- /dev/null +++ b/mimic-iii-carevue/code/concepts/50_sepsis3.sql @@ -0,0 +1,375 @@ +-- https://github.com/alistairewj/sepsis3-mimic +-- Johnson AEW, Aboab J, Raffa JD, Pollard TJ, Deliberato RO, Celi LA, Stone DJ. A Comparative Analysis of Sepsis Identification Methods in an Electronic Database. Crit Care Med. 2018 Apr;46(4):494-499. doi: 10.1097/CCM.0000000000002965. PMID: 29303796; PMCID: PMC5851804. + +drop table if exists sepsis3; create table sepsis3 as +-- abx_poe_list +with t1 as ( + select + drug, drug_name_generic + , route + , case + when lower(drug) like '%' || lower('adoxa') || '%' then 1 + when lower(drug) like '%' || lower('ala-tet') || '%' then 1 + when lower(drug) like '%' || lower('alodox') || '%' then 1 + when lower(drug) like '%' || lower('amikacin') || '%' then 1 + when lower(drug) like '%' || lower('amikin') || '%' then 1 + when lower(drug) like '%' || lower('amoxicillin') || '%' then 1 + when lower(drug) like '%' || lower('amoxicillin%clavulanate') || '%' then 1 + when lower(drug) like '%' || lower('clavulanate') || '%' then 1 + when lower(drug) like '%' || lower('ampicillin') || '%' then 1 + when lower(drug) like '%' || lower('augmentin') || '%' then 1 + when lower(drug) like '%' || lower('avelox') || '%' then 1 + when lower(drug) like '%' || lower('avidoxy') || '%' then 1 + when lower(drug) like '%' || lower('azactam') || '%' then 1 + when lower(drug) like '%' || lower('azithromycin') || '%' then 1 + when lower(drug) like '%' || lower('aztreonam') || '%' then 1 + when lower(drug) like '%' || lower('axetil') || '%' then 1 + when lower(drug) like '%' || lower('bactocill') || '%' then 1 + when lower(drug) like '%' || lower('bactrim') || '%' then 1 + when lower(drug) like '%' || lower('bethkis') || '%' then 1 + when lower(drug) like '%' || lower('biaxin') || '%' then 1 + when lower(drug) like '%' || lower('bicillin l-a') || '%' then 1 + when lower(drug) like '%' || lower('cayston') || '%' then 1 + when lower(drug) like '%' || lower('cefazolin') || '%' then 1 + when lower(drug) like '%' || lower('cedax') || '%' then 1 + when lower(drug) like '%' || lower('cefoxitin') || '%' then 1 + when lower(drug) like '%' || lower('ceftazidime') || '%' then 1 + when lower(drug) like '%' || lower('cefaclor') || '%' then 1 + when lower(drug) like '%' || lower('cefadroxil') || '%' then 1 + when lower(drug) like '%' || lower('cefdinir') || '%' then 1 + when lower(drug) like '%' || lower('cefditoren') || '%' then 1 + when lower(drug) like '%' || lower('cefepime') || '%' then 1 + when lower(drug) like '%' || lower('cefotetan') || '%' then 1 + when lower(drug) like '%' || lower('cefotaxime') || '%' then 1 + when lower(drug) like '%' || lower('cefpodoxime') || '%' then 1 + when lower(drug) like '%' || lower('cefprozil') || '%' then 1 + when lower(drug) like '%' || lower('ceftibuten') || '%' then 1 + when lower(drug) like '%' || lower('ceftin') || '%' then 1 + when lower(drug) like '%' || lower('cefuroxime ') || '%' then 1 + when lower(drug) like '%' || lower('cefuroxime') || '%' then 1 + when lower(drug) like '%' || lower('cephalexin') || '%' then 1 + when lower(drug) like '%' || lower('chloramphenicol') || '%' then 1 + when lower(drug) like '%' || lower('cipro') || '%' then 1 + when lower(drug) like '%' || lower('ciprofloxacin') || '%' then 1 + when lower(drug) like '%' || lower('claforan') || '%' then 1 + when lower(drug) like '%' || lower('clarithromycin') || '%' then 1 + when lower(drug) like '%' || lower('cleocin') || '%' then 1 + when lower(drug) like '%' || lower('clindamycin') || '%' then 1 + when lower(drug) like '%' || lower('cubicin') || '%' then 1 + when lower(drug) like '%' || lower('dicloxacillin') || '%' then 1 + when lower(drug) like '%' || lower('doryx') || '%' then 1 + when lower(drug) like '%' || lower('doxycycline') || '%' then 1 + when lower(drug) like '%' || lower('duricef') || '%' then 1 + when lower(drug) like '%' || lower('dynacin') || '%' then 1 + when lower(drug) like '%' || lower('ery-tab') || '%' then 1 + when lower(drug) like '%' || lower('eryped') || '%' then 1 + when lower(drug) like '%' || lower('eryc') || '%' then 1 + when lower(drug) like '%' || lower('erythrocin') || '%' then 1 + when lower(drug) like '%' || lower('erythromycin') || '%' then 1 + when lower(drug) like '%' || lower('factive') || '%' then 1 + when lower(drug) like '%' || lower('flagyl') || '%' then 1 + when lower(drug) like '%' || lower('fortaz') || '%' then 1 + when lower(drug) like '%' || lower('furadantin') || '%' then 1 + when lower(drug) like '%' || lower('garamycin') || '%' then 1 + when lower(drug) like '%' || lower('gentamicin') || '%' then 1 + when lower(drug) like '%' || lower('kanamycin') || '%' then 1 + when lower(drug) like '%' || lower('keflex') || '%' then 1 + when lower(drug) like '%' || lower('ketek') || '%' then 1 + when lower(drug) like '%' || lower('levaquin') || '%' then 1 + when lower(drug) like '%' || lower('levofloxacin') || '%' then 1 + when lower(drug) like '%' || lower('lincocin') || '%' then 1 + when lower(drug) like '%' || lower('macrobid') || '%' then 1 + when lower(drug) like '%' || lower('macrodantin') || '%' then 1 + when lower(drug) like '%' || lower('maxipime') || '%' then 1 + when lower(drug) like '%' || lower('mefoxin') || '%' then 1 + when lower(drug) like '%' || lower('metronidazole') || '%' then 1 + when lower(drug) like '%' || lower('minocin') || '%' then 1 + when lower(drug) like '%' || lower('minocycline') || '%' then 1 + when lower(drug) like '%' || lower('monodox') || '%' then 1 + when lower(drug) like '%' || lower('monurol') || '%' then 1 + when lower(drug) like '%' || lower('morgidox') || '%' then 1 + when lower(drug) like '%' || lower('moxatag') || '%' then 1 + when lower(drug) like '%' || lower('moxifloxacin') || '%' then 1 + when lower(drug) like '%' || lower('myrac') || '%' then 1 + when lower(drug) like '%' || lower('nafcillin sodium') || '%' then 1 + when lower(drug) like '%' || lower('nicazel doxy 30') || '%' then 1 + when lower(drug) like '%' || lower('nitrofurantoin') || '%' then 1 + when lower(drug) like '%' || lower('noroxin') || '%' then 1 + when lower(drug) like '%' || lower('ocudox') || '%' then 1 + when lower(drug) like '%' || lower('ofloxacin') || '%' then 1 + when lower(drug) like '%' || lower('omnicef') || '%' then 1 + when lower(drug) like '%' || lower('oracea') || '%' then 1 + when lower(drug) like '%' || lower('oraxyl') || '%' then 1 + when lower(drug) like '%' || lower('oxacillin') || '%' then 1 + when lower(drug) like '%' || lower('pc pen vk') || '%' then 1 + when lower(drug) like '%' || lower('pce dispertab') || '%' then 1 + when lower(drug) like '%' || lower('panixine') || '%' then 1 + when lower(drug) like '%' || lower('pediazole') || '%' then 1 + when lower(drug) like '%' || lower('penicillin') || '%' then 1 + when lower(drug) like '%' || lower('periostat') || '%' then 1 + when lower(drug) like '%' || lower('pfizerpen') || '%' then 1 + when lower(drug) like '%' || lower('piperacillin') || '%' then 1 + when lower(drug) like '%' || lower('tazobactam') || '%' then 1 + when lower(drug) like '%' || lower('primsol') || '%' then 1 + when lower(drug) like '%' || lower('proquin') || '%' then 1 + when lower(drug) like '%' || lower('raniclor') || '%' then 1 + when lower(drug) like '%' || lower('rifadin') || '%' then 1 + when lower(drug) like '%' || lower('rifampin') || '%' then 1 + when lower(drug) like '%' || lower('rocephin') || '%' then 1 + when lower(drug) like '%' || lower('smz-tmp') || '%' then 1 + when lower(drug) like '%' || lower('septra') || '%' then 1 + when lower(drug) like '%' || lower('septra ds') || '%' then 1 + when lower(drug) like '%' || lower('septra') || '%' then 1 + when lower(drug) like '%' || lower('solodyn') || '%' then 1 + when lower(drug) like '%' || lower('spectracef') || '%' then 1 + when lower(drug) like '%' || lower('streptomycin sulfate') || '%' then 1 + when lower(drug) like '%' || lower('sulfadiazine') || '%' then 1 + when lower(drug) like '%' || lower('sulfamethoxazole') || '%' then 1 + when lower(drug) like '%' || lower('trimethoprim') || '%' then 1 + when lower(drug) like '%' || lower('sulfatrim') || '%' then 1 + when lower(drug) like '%' || lower('sulfisoxazole') || '%' then 1 + when lower(drug) like '%' || lower('suprax') || '%' then 1 + when lower(drug) like '%' || lower('synercid') || '%' then 1 + when lower(drug) like '%' || lower('tazicef') || '%' then 1 + when lower(drug) like '%' || lower('tetracycline') || '%' then 1 + when lower(drug) like '%' || lower('timentin') || '%' then 1 + when lower(drug) like '%' || lower('tobi') || '%' then 1 + when lower(drug) like '%' || lower('tobramycin') || '%' then 1 + when lower(drug) like '%' || lower('trimethoprim') || '%' then 1 + when lower(drug) like '%' || lower('unasyn') || '%' then 1 + when lower(drug) like '%' || lower('vancocin') || '%' then 1 + when lower(drug) like '%' || lower('vancomycin') || '%' then 1 + when lower(drug) like '%' || lower('vantin') || '%' then 1 + when lower(drug) like '%' || lower('vibativ') || '%' then 1 + when lower(drug) like '%' || lower('vibra-tabs') || '%' then 1 + when lower(drug) like '%' || lower('vibramycin') || '%' then 1 + when lower(drug) like '%' || lower('zinacef') || '%' then 1 + when lower(drug) like '%' || lower('zithromax') || '%' then 1 + when lower(drug) like '%' || lower('zmax') || '%' then 1 + when lower(drug) like '%' || lower('zosyn') || '%' then 1 + when lower(drug) like '%' || lower('zyvox') || '%' then 1 + else 0 + end as antibiotic + from prescriptions + where drug_type in ('MAIN','ADDITIVE') + -- we exclude routes via the eye, ears, or topically + and route not in ('OU','OS','OD','AU','AS','AD', 'TP') + and route not ilike '%ear%' + and route not ilike '%eye%' + -- we exclude certain types of antibiotics: topical creams, gels, desens, etc + and drug not ilike '%cream%' + and drug not ilike '%desensitization%' + and drug not ilike '%ophth oint%' + and drug not ilike '%gel%' + -- other routes not sure about... + -- for sure keep: ('IV','PO','PO/NG','ORAL', 'IV DRIP', 'IV BOLUS') + -- ? VT, PB, PR, PL, NS, NG, NEB, NAS, LOCK, J TUBE, IVT + -- ? IT, IRR, IP, IO, INHALATION, IN, IM + -- ? IJ, IH, G TUBE, DIALYS + -- ?? enemas?? +) + +, abx_poe_list as ( + select + drug --, drug_name_generic + , count(*) as numobs + from t1 + where antibiotic = 1 + group by drug --, drug_name_generic + order by numobs desc +) + + + +-- abx_micro_poe +-- defines suspicion of infection using prescriptions + microbiologyevents +, abx as ( + select pr.hadm_id + , pr.drug as antibiotic_name + , pr.startdate as antibiotic_time + , pr.enddate as antibiotic_endtime + from prescriptions pr + -- inner join to subselect to only antibiotic prescriptions + inner join abx_poe_list ab + on pr.drug = ab.drug +) +-- get cultures for each icustay +-- note this duplicates prescriptions +-- each ICU stay in the same hospitalization will get a copy of all prescriptions for that hospitalization +, ab_tbl as ( + select + ie.subject_id, ie.hadm_id, ie.icustay_id + , ie.intime, ie.outtime + , abx.antibiotic_name + , abx.antibiotic_time + , abx.antibiotic_endtime + from icustays ie + left join abx + on ie.hadm_id = abx.hadm_id +) +, me as ( + select hadm_id + , chartdate, charttime + , spec_type_desc + , max(case when org_name is not null and org_name != '' then 1 else 0 end) as PositiveCulture + from microbiologyevents + group by hadm_id, chartdate, charttime, spec_type_desc +) +, ab_fnl as ( + select + ab_tbl.icustay_id, ab_tbl.intime, ab_tbl.outtime + , ab_tbl.antibiotic_name + , ab_tbl.antibiotic_time + , coalesce(me72.charttime,me72.chartdate) as last72_charttime + , coalesce(me24.charttime,me24.chartdate) as next24_charttime + + , me72.positiveculture as last72_positiveculture + , me72.spec_type_desc as last72_specimen + , me24.positiveculture as next24_positiveculture + , me24.spec_type_desc as next24_specimen + from ab_tbl + -- blood culture in last 72 hours + left join me me72 + on ab_tbl.hadm_id = me72.hadm_id + and ab_tbl.antibiotic_time is not null + and + ( + -- if charttime is available, use it + ( + ab_tbl.antibiotic_time > me72.charttime + and ab_tbl.antibiotic_time <= me72.charttime + interval '72' hour + ) + or + ( + -- if charttime is not available, use chartdate + me72.charttime is null + and ab_tbl.antibiotic_time > me72.chartdate + and ab_tbl.antibiotic_time < me72.chartdate + interval '96' hour -- could equally do this with a date_trunc, but that's less portable + ) + ) + -- blood culture in subsequent 24 hours + left join me me24 + on ab_tbl.hadm_id = me24.hadm_id + and ab_tbl.antibiotic_time is not null + and me24.charttime is not null + and + ( + -- if charttime is available, use it + ( + ab_tbl.antibiotic_time > me24.charttime - interval '24' hour + and ab_tbl.antibiotic_time <= me24.charttime + ) + or + ( + -- if charttime is not available, use chartdate + me24.charttime is null + and ab_tbl.antibiotic_time > me24.chartdate + and ab_tbl.antibiotic_time <= me24.chartdate + interval '24' hour + ) + ) +) +, ab_laststg as ( +select + icustay_id + , antibiotic_name + , antibiotic_time + , last72_charttime + , next24_charttime + + -- time of suspected infection: either the culture time (if before antibiotic), or the antibiotic time + , case + when coalesce(last72_charttime,antibiotic_time) is null + then 0 + else 1 end as suspected_infection + + , coalesce(last72_charttime,antibiotic_time) as suspected_infection_time + + -- the specimen that was cultured + , case + when last72_charttime is not null + then last72_specimen + when next24_charttime is not null + then next24_specimen + else null + end as specimen + + -- whether the cultured specimen ended up being positive or not + , case + when last72_charttime is not null + then last72_positiveculture + when next24_charttime is not null + then next24_positiveculture + else null + end as positiveculture +from ab_fnl +) + +, abx_micro_poe as ( + select + icustay_id + , antibiotic_name + , antibiotic_time + , last72_charttime + , next24_charttime + , suspected_infection_time + -- -- the below two fields are used to extract data - modifying them facilitates sensitivity analyses + -- , suspected_infection_time - interval '48' hour as si_starttime + -- , suspected_infection_time + interval '24' hour as si_endtime + , specimen, positiveculture + from ab_laststg + order by icustay_id, antibiotic_time +) + +-- suspinfect_poe +, susp_abx as +( + select icustay_id + , suspected_infection_time + , specimen, positiveculture + , antibiotic_name + , antibiotic_time + , row_number() over (partition by icustay_id order by suspected_infection_time) as rn + from abx_micro_poe +) + +, suspinfect_poe as ( + select + ie.icustay_id + , ie.intime + , antibiotic_name + , antibiotic_time + , suspected_infection_time as suspected_infection_time_poe + , extract(EPOCH from ie.intime - suspected_infection_time) / 60.0 / 60.0 / 24.0 as suspected_infection_time_poe_days + , specimen + , positiveculture + from icustays ie + left join susp_abx sa + on ie.icustay_id = sa.icustay_id + and sa.rn = 1 + order by ie.icustay_id +) + +, sepsis3_info as ( + select + sp.icustay_id, + sofa, + case + when suspected_infection_time_poe_days is not null then 1 + else 0 + end as suspicion_poe + from + suspinfect_poe sp + left join sofa so + using(icustay_id) +) + +select + icustay_id, + case + when sofa >= 2 and suspicion_poe = 1 then 1 + else 0 + end as sepsis3 +from + sepsis3_info +order by + icustay_id; diff --git a/mimic-iii-carevue/code/concepts/51_age.sql b/mimic-iii-carevue/code/concepts/51_age.sql new file mode 100644 index 000000000..866f622d9 --- /dev/null +++ b/mimic-iii-carevue/code/concepts/51_age.sql @@ -0,0 +1,29 @@ + +-- THIS SCRIPT IS AUTOMATICALLY GENERATED. DO NOT EDIT IT DIRECTLY. +drop table if exists age; create table age as + +-- https://mimic.mit.edu/docs/iii/about/time/#dates-of-birth + +-- Dates of birth which occur in the present time are not true dates of birth. +-- Furthermore, dates of birth which occur before the year 1900 occur if the patient is older than 89. +-- In these cases, the patient’s age at their first admission has been fixed to 300. + +with age_raw as ( + select + icustay_id, + hadm_id, + round(cast(extract(epoch from (admittime - dob))/(60*60*24*365) as numeric), 2) as age + from + mimiciii_cv.icustays + left join mimiciii_cv.patients + using (subject_id) + left join mimiciii_cv.admissions + using (hadm_id) +) + +select + distinct + hadm_id, + case when age >= 90 then 90 else age end as age +from + age_raw; \ No newline at end of file diff --git a/mimic-iii-carevue/code/concepts/52_charlson.sql b/mimic-iii-carevue/code/concepts/52_charlson.sql new file mode 100644 index 000000000..1a2b9f05d --- /dev/null +++ b/mimic-iii-carevue/code/concepts/52_charlson.sql @@ -0,0 +1,226 @@ +-- THIS SCRIPT IS AUTOMATICALLY GENERATED. DO NOT EDIT IT DIRECTLY. +drop table if exists charlson; create table charlson as +-- ------------------------------------------------------------------ +-- This query extracts Charlson Comorbidity Index (CCI) based on the recorded ICD-9 codes. +-- +-- Reference for CCI: +-- (1) Charlson ME, Pompei P, Ales KL, MacKenzie CR. (1987) A new method of classifying prognostic +-- comorbidity in longitudinal studies: development and validation.J Chronic Dis; 40(5):373-83. +-- +-- (2) Charlson M, Szatrowski TP, Peterson J, Gold J. (1994) Validation of a combined comorbidity +-- index. J Clin Epidemiol; 47(11):1245-51. +-- +-- Reference for ICD-9-CM Coding Algorithm for Charlson Comorbidities: +-- (3) Quan H, Sundararajan V, Halfon P, et al. Coding algorithms for defining Comorbidities in ICD-9-CM +-- and ICD-10 administrative data. Med Care. 2005 Nov; 43(11): 1130-9. +-- ------------------------------------------------------------------ + +with diag as ( + select + hadm_id, + icd9_code + from + diagnoses_icd +) + +, com as ( + select + ad.hadm_id + + -- Myocardial infarction + , max(case when + substr(icd9_code, 1, 3) in ('410','412') + then 1 + else 0 end) as myocardial_infarct + + -- Congestive heart failure + , max(case when + substr(icd9_code, 1, 3) = '428' + or + substr(icd9_code, 1, 5) in ('39891','40201','40211','40291','40401','40403','40411','40413','40491','40493') + or + substr(icd9_code, 1, 4) between '4254' and '4259' + then 1 + else 0 end) as congestive_heart_failure + + -- Peripheral vascular disease + , max(case when + substr(icd9_code, 1, 3) in ('440','441') + or + substr(icd9_code, 1, 4) in ('0930','4373','4471','5571','5579','V434') + or + substr(icd9_code, 1, 4) between '4431' and '4439' + then 1 + else 0 end) as peripheral_vascular_disease + + -- Cerebrovascular disease + , max(case when + substr(icd9_code, 1, 3) between '430' and '438' + or + substr(icd9_code, 1, 5) = '36234' + then 1 + else 0 end) as cerebrovascular_disease + + -- Dementia + , max(case when + substr(icd9_code, 1, 3) = '290' + or + substr(icd9_code, 1, 4) in ('2941','3312') + then 1 + else 0 end) as dementia + + -- Chronic pulmonary disease + , max(case when + substr(icd9_code, 1, 3) between '490' and '505' + or + substr(icd9_code, 1, 4) in ('4168','4169','5064','5081','5088') + then 1 + else 0 end) as chronic_pulmonary_disease + + -- Rheumatic disease + , max(case when + substr(icd9_code, 1, 3) = '725' + or + substr(icd9_code, 1, 4) in ('4465','7100','7101','7102','7103','7104','7140','7141','7142','7148') + then 1 + else 0 end) as rheumatic_disease + + -- Peptic ulcer disease + , max(case when + substr(icd9_code, 1, 3) in ('531','532','533','534') + then 1 + else 0 end) as peptic_ulcer_disease + + -- Mild liver disease + , max(case when + substr(icd9_code, 1, 3) in ('570','571') + or + substr(icd9_code, 1, 4) in ('0706','0709','5733','5734','5738','5739','V427') + or + substr(icd9_code, 1, 5) in ('07022','07023','07032','07033','07044','07054') + then 1 + else 0 end) as mild_liver_disease + + -- Diabetes without chronic complication + , max(case when + substr(icd9_code, 1, 4) in ('2500','2501','2502','2503','2508','2509') + then 1 + else 0 end) as diabetes_without_cc + + -- Diabetes with chronic complication + , max(case when + substr(icd9_code, 1, 4) in ('2504','2505','2506','2507') + then 1 + else 0 end) as diabetes_with_cc + + -- Hemiplegia or paraplegia + , max(case when + substr(icd9_code, 1, 3) in ('342','343') + or + substr(icd9_code, 1, 4) in ('3341','3440','3441','3442','3443','3444','3445','3446','3449') + then 1 + else 0 end) as paraplegia + + -- Renal disease + , max(case when + substr(icd9_code, 1, 3) in ('582','585','586','V56') + or + substr(icd9_code, 1, 4) in ('5880','V420','V451') + or + substr(icd9_code, 1, 4) between '5830' and '5837' + or + substr(icd9_code, 1, 5) in ('40301','40311','40391','40402','40403','40412','40413','40492','40493') + then 1 + else 0 end) as renal_disease + + -- Any malignancy, including lymphoma and leukemia, except malignant neoplasm of skin + , max(case when + substr(icd9_code, 1, 3) between '140' and '172' + or + substr(icd9_code, 1, 4) between '1740' and '1958' + or + substr(icd9_code, 1, 3) between '200' and '208' + or + substr(icd9_code, 1, 4) = '2386' + then 1 + else 0 end) as malignant_cancer + + -- Moderate or severe liver disease + , max(case when + substr(icd9_code, 1, 4) in ('4560','4561','4562') + or + substr(icd9_code, 1, 4) between '5722' and '5728' + then 1 + else 0 end) as severe_liver_disease + + -- Metastatic solid tumor + , max(case when + substr(icd9_code, 1, 3) in ('196','197','198','199') + then 1 + else 0 end) as metastatic_solid_tumor + + -- AIDS/HIV + , max(case when + substr(icd9_code, 1, 3) in ('042','043','044') + then 1 + else 0 end) as aids + from + admissions ad + left join diag + on ad.hadm_id = diag.hadm_id + group by ad.hadm_id +) + +, ag as ( + select + hadm_id, + age, + case when age <= 40 then 0 + when age <= 50 then 1 + when age <= 60 then 2 + when age <= 70 then 3 + else 4 + end as age_score + from + age +) + +select + ad.subject_id, + ad.hadm_id, + ag.age_score, + myocardial_infarct, + congestive_heart_failure, + peripheral_vascular_disease, + cerebrovascular_disease, + dementia, + chronic_pulmonary_disease, + rheumatic_disease, + peptic_ulcer_disease, + mild_liver_disease, + diabetes_without_cc, + diabetes_with_cc, + paraplegia, + renal_disease, + malignant_cancer, + severe_liver_disease, + metastatic_solid_tumor, + aids, + -- Calculate the Charlson Comorbidity Score using the original + -- weights from Charlson, 1987. + age_score + + myocardial_infarct + congestive_heart_failure + peripheral_vascular_disease + + cerebrovascular_disease + dementia + chronic_pulmonary_disease + + rheumatic_disease + peptic_ulcer_disease + + greatest(mild_liver_disease, 3*severe_liver_disease) + + greatest(2*diabetes_with_cc, diabetes_without_cc) + + greatest(2*malignant_cancer, 6*metastatic_solid_tumor) + + 2*paraplegia + 2*renal_disease + + 6*aids + as charlson_comorbidity_index +from + admissions ad +left join com + on ad.hadm_id = com.hadm_id +left join ag + on com.hadm_id = ag.hadm_id; \ No newline at end of file From 02c72eee6cfd6ed16ec570ae61d68f17d1a67092 Mon Sep 17 00:00:00 2001 From: Yile Ning Date: Fri, 20 Jan 2023 23:42:21 +0800 Subject: [PATCH 07/12] dx data --- .../code/concepts/dx_data/ccs_multi_dx.csv.gz | Bin 0 -> 63797 bytes 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 mimic-iii-carevue/code/concepts/dx_data/ccs_multi_dx.csv.gz diff --git a/mimic-iii-carevue/code/concepts/dx_data/ccs_multi_dx.csv.gz b/mimic-iii-carevue/code/concepts/dx_data/ccs_multi_dx.csv.gz new file mode 100644 index 0000000000000000000000000000000000000000..5e13857a6603729ac73748164940930757f34445 GIT binary 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Here] + +"icon"="C:\\Program Files\\Git\\mingw64\\share\\git\\git-for-windows.ico" + +@="Bash Here" + +[HKEY_CLASSES_ROOT\Directory\shell\Bash Here\command] + +@="C:\\Program Files\\Git\\bin\\bash --login -i" + +[HKEY_CLASSES_ROOT\Directory\Background\shell\Bash Here] + +"icon"="C:\\Program Files\\Git\\mingw64\\share\\git\\git-for-windows.ico" + +@="Bash Here" + +[HKEY_CLASSES_ROOT\Directory\Background\shell\Bash Here\command] + +@="C:\\Program Files\\Git\\bin\\bash --login -i" \ No newline at end of file From 054706c7784b3d38e0f44e59449f60ef556f3cd5 Mon Sep 17 00:00:00 2001 From: Yile Ning Date: Fri, 20 Jan 2023 23:45:18 +0800 Subject: [PATCH 09/12] images in readme --- mimic-iii-carevue/img/01.png | Bin 0 -> 239049 bytes mimic-iii-carevue/img/02.png | Bin 0 -> 64200 bytes mimic-iii-carevue/img/03.png | Bin 0 -> 113095 bytes mimic-iii-carevue/img/04.png | Bin 0 -> 166646 bytes mimic-iii-carevue/img/05.png | Bin 0 -> 2055533 bytes mimic-iii-carevue/img/06.png | Bin 0 -> 67466 bytes 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