Cell-free plasma telomere length correlated with the risk of cardiovascular events using machine learning classifiers.

ABSTRACT: This retrospective study explored the association between circulating cell-free plasma telomere length (cf-TL) and coronary artery disease (CAD) and heart failure (HF). Data from 518 participants were collected, including clinical and laboratory data. cf-TL was measured in plasma samples and machine learning (ML) classification models were developed to differentiate between CAD, HF and control conditions. Our results showed that cf-TL was significantly prolonged in HF patients compared to controls, but no significant difference was observed between CAD patients and controls. Additionally, cf-TL was significantly correlated with nitric oxide metabolites (NOx) and flow-mediated dilation (FMD), suggesting a potential link with endothelial function. To avoid data leakage and ensure the model c

SUBMITTER: Dai M 

PROVIDER: S-EPMC11621410 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature