Novel lipid profiles and atherosclerotic cardiovascular disease risk: insights from a latent profile analysis.

ABSTRACT:

Background

Dyslipidemia is a key contributor to atherosclerotic cardiovascular disease (ASCVD). Despite the well-established correlation between abnormal lipid metabolism and ASCVD, existing diagnostic and predictive models based on lipid indices alone or in combination often exhibit suboptimal sensitivity and specificity. There is an urgent need for improved lipid indicators or novel combinations thereof.

Methods

The study included 898 cardiology inpatients who underwent coronary angiography (CAG). A latent profile analysis (LPA) was utilized to delineate lipid profiles on the basis of four routine lipid indices (total cholesterol (TC), low-density lipoprotein (LDL), high-density lipoprotein (HDL), and triglycerides (TG)) and the triglyceride‒glucose (TyG) index as a proxy

SUBMITTER: Wan H 

PROVIDER: S-EPMC11854406 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature