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Dataset Information

Development and internal validation of a predictive model of cognitive decline 36 months following elective surgery.


ABSTRACT:

Introduction

Our goal was to determine if features of surgical patients, easily obtained from the medical chart or brief interview, could be used to predict those likely to experience more rapid cognitive decline following surgery.

Methods

We analyzed data from an observational study of 560 older adults (≥70 years) without dementia undergoing major elective non-cardiac surgery. Cognitive decline was measured using change in a global composite over 2 to 36 months following surgery. Predictive features were identified as variables readily obtained from chart review or a brief patient assessment. We developed predictive models for cognitive decline (slope) and predicting dichotomized cognitive decline at a clinically determined cut.

Results

In a hold-out testing set, the

SUBMITTER: Jones RN 

PROVIDER: S-EPMC8140204 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature