A predictive model to assess the risk of developing hyperlipidemia in patients with type 2 diabetes.

ABSTRACT:

Background

Type 2 diabetes (T2D) is increasingly recognized as a significant global health challenge, with a rising prevalence of hyperlipidemia among diabetic patients. Effectively predicting and reducing the risk of hyperlipidemia in T2D patients to mitigate their cardiovascular risk remains an urgent issue.

Objectives

The research sought to determine early clinical indicators that could predict the onset of hyperlipidemia in patients with T2D and to establish a predictive model that integrates clinical and laboratory indicators.

Methods

A cohort of T2D patients, excluding those with pre-existing hyperlipidemia or confounding factors, was analyzed. Clinical and laboratory data were used in a LASSO regression model to select key predictive variables. A nomogram was t

SUBMITTER: Ye R 

PROVIDER: S-EPMC11828393 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature