Development and validation of an EHR-based risk prediction model for geriatric patients undergoing urgent and emergency surgery.

ABSTRACT:

Background

Clinical determination of patients at high risk of poor surgical outcomes is complex and may be supported by clinical tools to summarize the patient's own personalized electronic health record (EHR) history and vitals data through predictive risk models. Since prior models were not readily available for EHR-integration, our objective was to develop and validate a risk stratification tool, named the Assessment of Geriatric Emergency Surgery (AGES) score, predicting risk of 30-day major postoperative complications in geriatric patients under consideration for urgent and emergency surgery using pre-surgical existing electronic health record (EHR) data.

Methods

Patients 65-years and older undergoing urgent or emergency non-cardiac surgery within 21 hospitals 2017-2021

SUBMITTER: Yap EN 

PROVIDER: S-EPMC11771050 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature