Prediction of In-hospital Mortality Among Intensive Care Unit Patients Using Modified Daily Laboratory-based Acute Physiology Score, Version 2.
Rachel KohnGary E WeissmanWei WangNicholas E IngrahamStefania ScottBrian BayesGeorge L AnesiScott D HalpernPatricia KipnisVincent X LiuRaymond Adams DudleyMeeta Prasad KerlinPublished in: Medical care (2023)
Patient-day-level models incorporating daily, time-updating LAPS2 to predict mortality among an ICU population performs as well or better than models incorporating modified admission LAPS2 alone. The use of daily LAPS2 may offer an improved tool for clinical prognostication and risk adjustment in research in this population.
Keyphrases
- intensive care unit
- physical activity
- end stage renal disease
- ejection fraction
- emergency department
- newly diagnosed
- liver failure
- type diabetes
- working memory
- cardiovascular events
- prognostic factors
- peritoneal dialysis
- respiratory failure
- psychometric properties
- coronary artery disease
- patient reported outcomes
- patient reported