The predictive value of triglyceride-glucose index combined with non–high-density lipoprotein cholesterol in coronary heart disease

• Published in: BMC cardiovascular disorders Vol. 25; no. 1; pp. 10 - 7
• Main Authors: Zhang, Chunge, Zhang, Hui, Yang, Zewen, Sheng, Yao, Ji, Ningning
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 09.01.2025; BioMed Central; BMC
• Subjects: Aged; Analysis and chemistry; Angiography; Arteriosclerosis; Atherosclerosis; Biomarkers - blood; Blood; Blood Glucose - analysis; Blood Glucose - metabolism; Blood sugar monitoring; Cardiovascular disease; China - epidemiology; Cholesterol; Cholesterol - blood; Coronary Angiography; Coronary artery disease; Coronary Artery Disease - blood; Coronary Artery Disease - diagnosis; Coronary Artery Disease - diagnostic imaging; Coronary heart disease; Diabetes mellitus; Echocardiography; Evaluation; Female; Heart diseases; High density lipoprotein; Humans; Male; Medical imaging; Middle Aged; Mortality; Non-HDL-C; Patients; Predictive Value of Tests; Prognosis; Regression analysis; Retrospective Studies; Risk Assessment; Risk Factors; Triglyceride -glucose product index; Triglycerides - blood; China; Non-HDL-C; Coronary heart disease; Triglyceride -glucose product index
• ISSN: 1471-2261; 1471-2261
• DOI: 10.1186/s12872-024-04410-z

To 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). We 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. TyG 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.