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已发表论文
空腹血糖与高密度脂蛋白胆固醇比值（GHR）与冠状动脉血管病变的关系：一项回顾性横断面研究
Authors Yan HB, Liu ZX, Yang YJ, Liu C, Yang ZC, Wang Y, Xu X, Liu WT, Wang XH, Zhang YN, He H
Received 8 August 2025
Accepted for publication 16 October 2025
Published 21 October 2025 Volume 2025:18 Pages 6387—6398
DOI https://doi.org/10.2147/IJGM.S555785
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Dr Redoy Ranjan
Han-Bing Yan,1 Zi-Xuan Liu,1 Yuan-Jiao Yang,1 Chen Liu,1 Zhi-Chao Yang,1 Yuan Wang,1 Xin Xu,1 Wen-Tao Liu,1 Xiao-Hui Wang,1 Ya-Nan Zhang,1 Hui He1– 4
1Clinical Research Center, Liaoning Province Benxi Central Hospital, Benxi, Liaoning, 117000, People’s Republic of China; 2Department of Research and Development, Liaoning Province Benxi Clinical Bio-Bank, Benxi, Liaoning, 117000, People’s Republic of China; 3Training Department, China Medical University Benxi Central Hospital Postgraduate Training Workstation, Benxi, Liaoning, 117000, People’s Republic of China; 4Department of Research and Development, Shenyang Kati Health Consulting Co. LTD, Shenyang, Liaoning, 110101, People’s Republic of China
Correspondence: Hui He, Clinical Research Center, Liaoning Province Benxi Central Hospital, Benxi, Liaoning, 117000, People’s Republic of China, Tel +86-18941435621, Email lnbxwxf@yeah.net
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.
Keywords: coronary artery disease, atherosclerosis, high-density lipoprotein cholesterol, fasting blood glucose, coronary stenosis
1Clinical Research Center, Liaoning Province Benxi Central Hospital, Benxi, Liaoning, 117000, People’s Republic of China; 2Department of Research and Development, Liaoning Province Benxi Clinical Bio-Bank, Benxi, Liaoning, 117000, People’s Republic of China; 3Training Department, China Medical University Benxi Central Hospital Postgraduate Training Workstation, Benxi, Liaoning, 117000, People’s Republic of China; 4Department of Research and Development, Shenyang Kati Health Consulting Co. LTD, Shenyang, Liaoning, 110101, People’s Republic of China
Correspondence: Hui He, Clinical Research Center, Liaoning Province Benxi Central Hospital, Benxi, Liaoning, 117000, People’s Republic of China, Tel +86-18941435621, Email lnbxwxf@yeah.net
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.
Keywords: coronary artery disease, atherosclerosis, high-density lipoprotein cholesterol, fasting blood glucose, coronary stenosis