Development and Validation of a Multivariable Prediction Model for Postoperative Intensive Care Unit Stay in a Broad Surgical Population.

ABSTRACT:

Importance

Despite limited capacity and expensive cost, there are minimal objective data to guide postoperative allocation of intensive care unit (ICU) beds. The Surgical Risk Preoperative Assessment System (SURPAS) uses 8 preoperative variables to predict many common postoperative complications, but it has not yet been evaluated in predicting postoperative ICU admission.

Objective

To determine if the SURPAS model could accurately predict postoperative ICU admission in a broad surgical population.

Design, setting, and participants

This decision analytical model was a retrospective, observational analysis of prospectively collected patient data from the 2012 to 2018 American College of Surgeons (ACS) National Surgical Quality Improvement Program (NSQIP) database, which

SUBMITTER: Rozeboom PD 

PROVIDER: S-EPMC8851361 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature