Pathways from insulin resistance to incident cardiovascular disease: a Bayesian network analysis.

ABSTRACT:

Background

Insulin resistance coexist with many metabolic disorders, whether these disorders were promotors or pathway-factors for the association of insulin resistance and cardiovascular disease (CVD) remained unclear. We aimed to investigate the pathways related to elevated the triglyceride-glucose (TyG) index and pathways through elevated TyG index to the occurrence of CVD in Chinese adults.

Methods

A total of 96,506 participants were enrolled from the Kailuan study. Bayesian network model with the max-min hill climbing algorithm and maximum likelihood estimation was applied to identify factors and pathways related to the TyG index, and quantitatively infer the impact of associated factors on elevated TyG index and the occurrence of CVD by computing conditional probabilit

SUBMITTER: Tian X 

PROVIDER: S-EPMC11583553 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature