Associations of triglyceride-glucose index and remnant cholesterol with carotid intima-media thickness in non-diabetic population
10.3760/cma.j.issn.1673-4165.2024.09.006
- VernacularTitle:甘油三酯-葡萄糖指数和残余胆固醇与非糖尿病人群颈动脉内膜-中膜厚度的相关性
- Author:
Yunzhi SHEN
1
;
Xiaoqiong DU
;
Rongchao MA
;
Xuan HE
;
Dujuan SHA
Author Information
1. 南京大学医学院，南京 210008
- Keywords:
Carotid intima-media thickness;
Atherosclerosis;
Triglycerides;
Blood glucose;
Cholesterol;
Risk factors
- From:
International Journal of Cerebrovascular Diseases
2024;32(9):674-680
- CountryChina
- Language:Chinese
-
Abstract:
Objectives:To investigate associations of triglyceride glucose (TyG) index and remnant cholesterol (RC) with carotid intima-media thickness (cIMT) in non-diabetes population, and to evaluate the predictive value of TyG combined with RC for cIMT.Methods:Non-diabetes adult subjects underwent physical examination in Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University from January 2021 to December 2021 were included retrospectively. According to the findings of carotid ultrasound examination, they were divided into cIMT thickening group (≥1 mm) and non-cIMT thickening group. Multivariate logistic regression analysis was used to identify the independent risk factors for cIMT thickening. The receiver operating characteristic (ROC) curve was used to evaluate the predictive value of TyG index combined with RC for cIMT thickening. Results:A total of 1 109 subjects were enrolled, including 640 males (57.7%), aged 56.44±14.58 years, and 626 (56.4%) had cIMT thickening. The age and male proportion of the cIMT thickening group were significantly higher than those of the non-cIMT thickening group, and there were significant differences in the quartiles distribution of RC and TyG index between the two groups (all P<0.001). Multivariate logistic regression analysis showed that RC (odds ratio 1.601, 95% confidence interval 1.162-2.207; P=0.004) and TyG index (odds ratio 1.807, 95% confidence interval 1.302-2.508; P<0.001) were the independent risk factors for cIMT thickening. ROC curve analysis showed that the area under the curve of TyG index combined with RC to predict cIMT thickening was 0.717 (95% confidence interval, 0.687-0.747), indicating higher diagnostic efficacy than TyG index and RC alone. Conclusion:TyG index and RC are associated with cIMT thickening in the non-diabetes population, and the combination of them had good predictive value for cIMT thickening.
