Combining triglyceride glucose-body mass index and high-sensitivity C-reactive protein to predict cardiovascular disease: results from a national cohort and a clinical verified cohort.

ABSTRACT:

Background

Accumulating evidence highlights a strong association between insulin resistance (IR) and inflammation in the context of cardiovascular disease (CVD). However, the combined impact of both factors on the risk of developing CVD remains underexplored. This study aims to investigate how inflammation and insulin resistance interact to influence the risk of incident CVD.

Methods

A total of 6,534 adults from the CHARLS were included. The primary endpoint was the occurrence of cardiovascular disease (CVD), defined as a composite of stroke and cardiac events. Participants were categorized according to the median values of two key markers: the triglyceride glucose-body mass index (TyG-BMI index) and high-sensitivity C-reactive protein (hsCRP). Cox proportional hazard models

SUBMITTER: Liu W 

PROVIDER: S-EPMC12819627 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature