ArticleBMC cardiovascular disorders2025
The predictive value of triglyceride-glucose index combined with non-high-density lipoprotein cholesterol in coronary heart disease.
Article in BMC cardiovascular disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Joint association of triglyceride-glucose index and atherogenic lipid markers with incident stroke risk.Scientific reports · 2026Article
- Triglyceride-glucose index and its derivatives as emerging biomarkers of insulin resistance for prognostic evaluation of cardiovascular-kidney-metabolic syndrome: mechanisms and clinical applications.Frontiers in pharmacology · 2026Review
- Triglyceride-glucose (TyG) index combined with C-reactive protein outperforms the TyG index alone in predicting stroke in arthritis patients: a nationwide prospective cohort study.Lipids in health and disease · 2025Article
- Article
- TyG index and CBC-derived inflammatory indicators individual and mixed effects on all-cause and cardiovascular disease deaths in patients with CHD.Frontiers in cardiovascular medicine · 2025Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
BACKGROUND AND
aimsTo explore the predictive value of the triglyceride-glucose(TyG)index combined with non-high-density lipoprotein cholesterol (Non-HDL-C) in coronary atherosclerotic heart disease (CHD). METHODS AND
resultsWe retrospectively collected patients who were suspected of CHD and underwent coronary angiography in Yiwu Central Hospital and collected medical history, other serum biochemical evaluation and echocardiography from the enrolled population, Non-HDL-C and TyG indices were calculated, and their correlation with Gensini score was analyzed. Logistic regression analysis was used to analyze the risk factors of coronary heart disease, and ROC curves were plotted to assess the predictive value of CHD in subjects with single or multiple indices. TyG index and Non-HDL-C were higher in patients with CHD than in patients without CHD (P < 0.05), and they were independent risk factors for the development of CHD after logistic regression analysis. Diabetes, Non-HDL-C, TyG index, and Gensini score were positively correlated. The areas under the ROC curves for TyG index and Non-HDL-C for the diagnosis of coronary heart disease were 0.719 (95% CI 0.675-0.763) and 0.652 (95% CI 0.605-0.700), respectively, and the area under the ROC curve plotted with the joint equation of the two was 0.724 (95% CI 0.681-0.768), which can better predict the occurrence of coronary heart disease.
conclusionTyG index and Non-HDL-C are independent risk factors for the occurrence of coronary heart disease, and the combination of the two can better predict the occurrence of coronary heart disease.
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