Development and validation of a model to predict the risk of frailty in older adults with panvascular disease.

ABSTRACT:

Background

This study aimed to identify factors influencing frailty in older adults with panvascular disease and to develop and validate a nomogram-based risk prediction model to support individualized frailty management.

Methods

A total of 1,344 patients aged ≥60 years with panvascular disease were recruited using convenience sampling from March to December 2024. Participants were randomly divided into training and validation sets (7:3). Data included general characteristics, laboratory indices, and scores from the PSQI, ADL, GDS-15, and frailty assessments. Least absolute shrinkage and selection operator (LASSO) regression was used to select predictors, followed by multivariate logistic regression to construct the model. Model performance was evaluated using the area under

SUBMITTER: Gao X 

PROVIDER: S-EPMC12683717 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature