Development and validation of a risk prediction model for frailty in patients with diabetes.

ABSTRACT:

Background

Frailty is the third most common complication of diabetes after macrovascular and microvascular complications. The aim of this study was to develop a validated risk prediction model for frailty in patients with diabetes.

Methods

The research used data from the China Health and Retirement Longitudinal Study (CHARLS), a dataset representative of the Chinese population. Twenty-five indicators, including socio-demographic variables, behavioral factors, health status, and mental health parameters, were analyzed in this study. The study cohort was randomly divided into a training set and a validation set at a ratio of 70 to 30%. LASSO regression analysis was used to screen the variables for the best predictors of the model based on a 10-fold cross-validation. The logist

SUBMITTER: Bu F 

PROVIDER: S-EPMC10045211 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature