“…The data were extracted from the MIMIC-IV database using structured query language with PostgreSQL. The following information was extracted: (1) demographic information: age, sex, ethnicity, weight, and height; (2) comorbidities: hypertension, myocardial infarction, congestive heart failure, peripheral vascular disease, cerebrovascular disease, obstructive sleep apnea, diabetes, chronic pulmonary disease, chronic liver disease, and chronic renal disease; (3) lifestyle factor: alcohol abuse; (4) type of surgery: CABG, valve surgery, aortic replacement, as well as a combined cardiac surgery; (5) laboratory findings before surgery and on the first day in the ICU: peripheral white blood cell count, hemoglobin, serum albumin, and serum creatinine; (6) mean values of vital signs on the first day in the ICU: heart rate, mean arterial blood pressure (MAP), percutaneous oxygen saturation (SpO 2 ), and respiratory rate; (7) the Sequential Organ Failure Assessment (SOFA) score on the first day in the ICU; (8) use of benzodiazepines during ICU stay; (9) outcomes: delirium during hospital stay, ICU and hospital stay lengths, and hospital mortality. The data extraction code is accessible on GitHub (https://github.com/MIT-LCP/mimic -iv).…”