Association of Estimated Glucose Disposal Rate With the Stenosis Severity of Coronary Artery Disease： A Cross-sectional Study
10.13471/j.cnki.j.sun.yat-sen.univ(med.sci).20240004.010
- VernacularTitle:估计葡萄糖处置率与冠状动脉狭窄严重程度关系的横断面研究
- Author:
Yubin WU
1
;
Zhiteng CHEN
2
;
Maoxiong WU
2
;
Wenhao LIU
2
;
Qian CHEN
2
;
Shiyi ZHOU
1
;
Yan-xin CHEN
2
;
Min XIA
1
Author Information
1. School of Public Health， Sun Yat-sen University， Guangzhou 510080， China
2. Department of Cardiology， Sun Yat-sen Memorial Hospital， Guangzhou 510120， China
- Publication Type:Journal Article
- Keywords:
coronary artery disease;
estimated glucose disposal rate;
stenosis severity of CAD;
multi-vessel coronary artery disease;
coronary artery stenosis;
cross-sectional study
- From:
Journal of Sun Yat-sen University(Medical Sciences)
2024;45(1):136-145
- CountryChina
- Language:Chinese
-
Abstract:
ObjectiveTo investigate the association between estimated glucose disposal rate （eGDR） and the severity of coronary heart disease. MethodsWe conducted a hospital-based cross-sectional study that included 1258 patients （mean age： 62（53-68） years） who underwent coronary angiography for suspected coronary artery disease （53.9% were male）. Insulin resistance level （IR） was calculated according to eGDR formula： eGDR = 21.158 - （0.09 × WC） - （3.407 × hypertension） - （0.551 × HbA1c） ［hypertension （yes = 1 / no = 0）， HbA1c = HbA1c （%）］. Subjects were grouped according to the eGDR quantile. CAD severity was determined by the number of narrowed vessels： no-obstructive CAD group （all coronary stenosis were<50%， n=704）， Single-vessel CAD group （only one involved major coronary artery stenosis≥50%， n=205）， Multi-vessel CAD group （two or more involved major coronary arteries stenosis≥50%， n=349）； Multivariate logistic regression model was used to analyze the association between eGDR and CAD severity. The linear relationship between eGDR and CAD in the whole range of eGDR was analyzed using restricted cubic spline. Subgroup analyses were used to assess the association between eGDR and CAD severity in different diabetic states. Receiver operating characteristic （ROC） curve analysis were used to evaluate the value of eGDR in improving CAD recognition. ResultsA decrease in the eGDR index was significantly associated with an increased risk of CAD severity （OR： 2.79； 95%CI： 1.72~4.55； P<0.001）. In multivariate logistic regression models， individuals with the lowest quantile of eGDR （T1） were 2.79 times more likely to develop multi-vessel CAD than those with the highest quantile of eGDR （T3） （OR： 2.79； 95%CI： 1.72~4.55； P<0.001）. Multivariate restricted cubic spline analysis showed that eGDR was negatively associated with CAD and multi-vessel CAD （P-nonlinear>0.05）. In non-diabetic patients， compared with the reference group （T3）， the T1 group had a significantly increased risk of CAD （OR： 1.42； 95% CI： 1.00~2.01； P<0.05） and multi-vessel CAD （OR： 1.86； 95%CI： 1.21~2.86； P<0.05）. No statistical association was found between eGDR and CAD in diabetic patients. In ROC curve analysis， when eGDR was added to traditional model for CAD， significant improvements were observed in the model's recognition of CAD and multi-vessel CAD. ConclusionOur study shows eGDR levels are inversely associated with CAD and CAD severity. eGDR， as a non-insulin measure to assess IR， could be a valuable indicator of CAD severity for population.
