Impact of Intraoperative Data on Risk Prediction for Mortality After Intra-Abdominal Surgery.

ABSTRACT:

Background

Risk prediction models for postoperative mortality after intra-abdominal surgery have typically been developed using preoperative variables. It is unclear if intraoperative data add significant value to these risk prediction models.

Methods

With IRB approval, an institutional retrospective cohort of intra-abdominal surgery patients in the 2005 to 2015 American College of Surgeons National Surgical Quality Improvement Program was identified. Intraoperative data were obtained from the electronic health record. The primary outcome was 30-day mortality. We evaluated the performance of machine learning algorithms to predict 30-day mortality using: 1) baseline variables and 2) baseline + intraoperative variables. Algorithms evaluated were: 1) logistic regression with el

SUBMITTER: Yan X 

PROVIDER: S-EPMC8682663 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature