Precision prediction of hyperhomocysteinemia development in perimenopausal women using LASSO regression.

ABSTRACT:

Background

Hyperhomocysteinemia (HHcy) is associated with an increased risk of cardiovascular diseases, particularly in perimenopausal women, who are more susceptible to metabolic disorders due to declining estrogen levels. This study aimed to identify risk factors and develop a predictive model for HHcy in this population.

Methods

A retrospective study included 687 perimenopausal women, divided into a training set (481) and an internal validation set (206). Demographic characteristics, pregnancy-related factors, lifestyles, and diet information were collected by questionnaire. 63 perimenopausal women hospitalized from March to June 2025 were selected as the external validation set. The least absolute shrinkage and selection operator (LASSO) regression was used to select var

SUBMITTER: Tan X 

PROVIDER: S-EPMC12546042 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature