Multivariable models using administrative data and biomarkers to adjust for case mix in the ICU.
Miklos LipcseyAnna AronssonAnders O LarssonHenrik RenlundRolf GedeborgPublished in: Acta anaesthesiologica Scandinavica (2019)
Automatically collected baseline variables are almost as predictive of both short- and long-term mortality in general ICU patients, as the SAPS II score. This can facilitate internal control of confounding in non-interventional studies of mortality using administrative data.
Keyphrases
- end stage renal disease
- intensive care unit
- electronic health record
- cardiovascular events
- ejection fraction
- newly diagnosed
- chronic kidney disease
- mechanical ventilation
- risk factors
- peritoneal dialysis
- prognostic factors
- type diabetes
- patient reported outcomes
- data analysis
- coronary artery disease
- extracorporeal membrane oxygenation