Construction and validation of a risk prediction model for postoperative frailty in older adults:a multicenter study.

ABSTRACT:

Background

Postoperative frailty is an important determinant of postoperative recovery and survival outcomes. Predicting the onset of postoperative frailty is significant importance for the rehabilitation of the elderly people after surgery. Our study aims to develop and evaluate a predictive model for postoperative frailty on the 30^th day in elderly patients.

Methods

Data from seven Guangzhou hospitals were collected, encompassing 2,290 patients for analysis. This study constructed the model using LASSO regression and stepwise regression, and the optimal predictive model was selected based on comparison. Model performance was assessed through calibration curves, the area under the ROC curve (AUC), and decision curve analysis (DCA).

Results

The final model

SUBMITTER: Lu S 

PROVIDER: S-EPMC11809004 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature