Study on the TyG index in combination with monocyte-to-high-density lipoprotein-cholesterol ratio and the severity of coronary artery stenosis
10.3760/cma.j.cn311282-20230803-00017
- VernacularTitle:TyG指数联合单核细胞/高密度脂蛋白胆固醇比值与冠状动脉狭窄程度的研究
- Author:
Jianping FU
1
;
Xue WANG
Author Information
1. 衡水市人民医院，衡水 053000
- Keywords:
Coronary artery stenosis;
Triglyceride-glucose index;
Monocyte to high-density lipoprotein-cholesterol ratio
- From:
Chinese Journal of Endocrinology and Metabolism
2023;39(11):923-927
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the relationship between the triglyceride-glucose(TyG) index, the monocyte-to-high-density lipoprotein-cholesterol ratio(MHR) and the severity of coronary artery stenosis in patients with coronary artery heart disease(CHD).Methods:A total of 178 CHD patients who underwent coronary angiography at Hengshui People′s Hospital from June 2021 to June 2023 were retrospectively included. All patients were divided into four groups based on the Gensini score: no stenosis group(44 cases, Gensini score=0), mild stenosis group(48 cases, 1≤Gensini score≤20), moderate stenosis group(46 cases, 21≤Gensini score≤40), and severe stenosis group(40 cases, Gensini score>40). Logistic stepwise regression analysis, Pearson correlation analysis, and receiver operating characteristic(ROC) curve analysis were used to assess the correlation and diagnostic value among TyG index, MHR, and the degree of coronary artery stenosis in CHD patients. Results:At baseline, except for heart failure, arrhythmia, hypertension, diabetes, and alanine aminotransferase(ALT) ( P>0.05), the other indicators showed statistically significant differences among the four groups( P<0.05). Logistic stepwise regression analysis showed that smoking, increased TyG index, and MHR were independent risk factors for coronary artery stenosis. In addition, Pearson correlation analysis showed a positive correlation between TyG index( r=0.548, P=0.002) or MHR( r=0.595, P<0.001) and the degree of coronary artery stenosis. ROC curve analysis revealed that the area under the ROC curve, based on the combined coefficients of TyG index and MHR, was 0.851(95% CI 0.791-0.911), indicating the highest diagnostic efficacy for assessing the degree of coronary artery stenosis. Conclusion:TyG index and MHR are correlated with the severity of coronary artery stenosis, and the combination of TyG index and MHR has potential value as a biomarker for reflecting coronary artery stenosis.
