Development and validation of a predictive model for white matter lesions in young- and middle-aged people.

ABSTRACT:

Background

White matter lesion (WML) is an age-related disorder associated with stroke and cognitive impairment. This study aimed to investigate the risk factors and build a predictive model of WML in young- and middle-aged people.

Methods

We performed a second analysis of the data from the Dryad Digital Repository. We selected those people who are <60 years old and randomly divided them into the training group and the validation group. We investigated the risk factors of WML in the training group with logistic regression analysis and built a prediction nomogram based on multivariate logistic regression analysis; finally, the performance of the prediction nomogram was evaluated for discrimination, accuracy, and clinical utility.

Results

There were 308 people in the tr

SUBMITTER: Zhang R 

PROVIDER: S-EPMC10622790 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature