Prediction of major postoperative events after non-cardiac surgery for people with kidney failure: derivation and internal validation of risk models.

ABSTRACT:

Background

People with kidney failure often require surgery and experience worse postoperative outcomes compared to the general population, but existing risk prediction tools have excluded those with kidney failure during development or exhibit poor performance. Our objective was to derive, internally validate, and estimate the clinical utility of risk prediction models for people with kidney failure undergoing non-cardiac surgery.

Design, setting, participants, and measures

This study involved derivation and internal validation of prognostic risk prediction models using a retrospective, population-based cohort. We identified adults from Alberta, Canada with pre-existing kidney failure (estimated glomerular filtration rate [eGFR] < 15 mL/min/1.73m² or receipt of m

SUBMITTER: Harrison TG 

PROVIDER: S-EPMC9999551 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature