Abstract
PURPOSE: To investigate the relationship between the ratio (GHR) of fasting blood glucose (FBG) to high-density lipoprotein cholesterol (HDL-C) and the degree of coronary artery stenosis. PATIENTS AND METHODS: This retrospective cross-sectional study enrolled 1313 eligible participants who underwent coronary arteriography (CAG) or coronary computed tomography angiography (CCTA) between January 1, 2022, and May 31, 2023, from the electronic medical record system of Liaoning Province Benxi Central Hospital. Participants were divided into two groups: a Coronary Artery Disease (CAD) group (n = 1071) and a non-CAD group (n = 242). Patients in the CAD group were further categorized into three groups based on their GS: a low GS group (GS ≤ 32, n = 404), a medium GS group (32 < GS ≤ 66, n = 313), and a high GS group (GS > 66, n = 354). Logistic regression analysis was used to determine the association between GHR and CAD, as well as severe CAD. Receiver operating characteristic (ROC) curves were constructed to analyze the predictive value of GHR for CAD and severe CAD. RESULTS: The median GHR in the CAD group was significantly higher than that in the non-CAD group (5.980 vs 4.871, P = 0.000). GHR was positively correlated with GS and the number of coronary artery lesions. Logistic regression analysis indicated that GHR was an independent predictor of CAD and severe CAD. ROC analysis showed that GHR had predictive value for CAD and severe CAD. The areas under the curve (AUC) were 0.672 and 0.591, respectively, both of which were statistically significant (P = 0.000). Combining GHD with other risk factors to construct a new diagnostic model significantly improved the AUC. CONCLUSION: GHR is associated with the degree of coronary artery stenosis and can predict CAD and its severity.