CORRELATION BETWEEN HBA1C LEVELS AND SEVERITY OF CORONARY ARTERY DISEASE

Main Article Content

Dr. Wafa Hyder Maitlo
Dr. Muhammad Nauman Khan
Dr, Farwa Anum
Dr, Arif Mehmood Kamboh
Dr. Ahsan Sikander
Dr. Anum Zamir

Keywords

HbA1c, glycated hemoglobin, coronary artery disease, coronary angiography, multivessel disease, type 2 diabetes mellitus

Abstract

Background: Chronic hyperglycemia is a risk factor for atherosclerotic progression, and coronary artery disease (CAD) is a major cause of morbidity and mortality in the world. One easy-to-obtain marker that could be used to assess coronary atherosclerotic burden is glycated hemoglobin (HbA1c).
Objective: To assess the relationship between HbA1c and the severity of coronary artery disease by angiography.
Methods: The study was cross-sectional analytical and was conducted at Hameed Latif Hospital, Lahore, from January, 2025 to June, 2025. Patients were recruited consecutively to the study for coronary angiography for suspected or established CAD (n = 200). HbA1C was determined by a standardized laboratory method, and the severity of the disease was determined by the number of diseased vessels. One-way ANOVA, correlation analysis, and receiver operating characteristic analysis (ROC) were used to assess the associations.
Results: The mean age was 57.8 ± 10.6 years, and 62.0% of patients were male. The mean HbA1c was significantly higher (p < 0.001) in patients with significant CAD (7.9 ± 1.3%) than in those without significant CAD (6.1 ± 0.7%). The number of diseased vessels was positively correlated with HbA1c (ρ = 0.50, p < 0.001). Multivessel disease was found in 72.0% of patients with HbA1c ≥ 7.0% and 36.0% of patients with HbA1c < 7.0% (p < 0.001). The AUC for HbA1c was fair for the discrimination of multivessel disease (0.74).
Conclusion: An elevated HbA1c is highly correlated with angiographic severity of CAD and could be used to help cardiovascular risk stratification, but it is not a substitute for angiography. Larger multicenter studies are recommended.


 

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References

1.Yan Y, Gao R, Zhang S, Gao Z, Chen A, Wang J, Zhang S, Dai W, Li F, Li X, Yang G. Hemoglobin A1c and angiographic severity with coronary artery disease: a cross-sectional study. International Journal of General Medicine. 2022 Feb 15:1485-95.
2.Jiao X, Zhang Q, Peng P, Shen Y. HbA1c is a predictive factor of severe coronary stenosis and major adverse cardiovascular events in patients with both type 2 diabetes and coronary heart disease. Diabetology & Metabolic Syndrome. 2023 Mar 20;15(1):50.
3.Wang X, Xu W, Song Q, Zhao Z, Meng X, Xia C, Xie Y, Yang C, Jin P, Wang F. Association between the triglyceride–glucose index and severity of coronary artery disease. Cardiovascular diabetology. 2022 Sep 1;21(1):168.
4.Zhang Y, Song H, Bai J, Xiu J, Wu G, Zhang L, Wu Y, Qu Y. Association between the stress hyperglycemia ratio and severity of coronary artery disease under different glucose metabolic states. Cardiovascular Diabetology. 2023 Feb 8;22(1):29.
5.Han S, Fang J, Yu L, Li B, Hu Y, Chen R, Li C, Zhao C, Li J, Wang Y, Gao Y. Serumderived exosomal hsalet7b5p as a biomarker for predicting the severity of coronary stenosis in patients with coronary heart disease and hyperglycemia. Molecular medicine reports. 2023 Sep 12;28(5):203.
6.Gao J, Lu J, Sha W, Xu B, Zhang C, Wang H, Xia J, Zhang H, Tang W, Lei T. Relationship between the neutrophil to high-density lipoprotein cholesterol ratio and severity of coronary artery disease in patients with stable coronary artery disease. Frontiers In Cardiovascular Medicine. 2022 Nov 24;9:1015398.
7.Xu L, Yan X, Tang Z, Feng B. Association between circulating oxidized OxLDL/LDL-C ratio and the severity of coronary atherosclerosis, along with other emerging biomarkers of cardiovascular disease in patients with type 2 diabetes. Diabetes research and clinical practice. 2022 Sep 1;191:110040.
8.Chen J, Yin D, Dou K. Intensified glycemic control by HbA1c for patients with coronary heart disease and Type 2 diabetes: a review of findings and conclusions. Cardiovascular Diabetology. 2023 Jun 22;22(1):146.
9.Su J, Li Z, Huang M, Wang Y, Yang T, Ma M, Ni T, Pan G, Lai Z, Li C, Li L. Triglyceride glucose index for the detection of the severity of coronary artery disease in different glucose metabolic states in patients with coronary heart disease: a RCSCD-TCM study in China. Cardiovascular diabetology. 2022 Jun 6;21(1):96.
10.Dykun I, Bayturan O, Carlo J, Nissen SE, Kapadia SR, Tuzcu EM, Nicholls SJ, Puri R. HbA1c, Coronary atheroma progression and cardiovascular outcomes. American Journal of Preventive Cardiology. 2022 Mar 1;9:100317.
11.Zhao S, Wang Z, Qing P, Li M, Liu Q, Pang X, Wang K, Gao X, Zhao J, Wu Y. Comprehensive analysis of the association between triglyceride-glucose index and coronary artery disease severity across different glucose metabolism states: a large-scale cross-sectional study from an Asian cohort. Cardiovascular diabetology. 2024 Jul 13;23(1):251.
12.Shali S, Luo L, Yao K, Sun X, Wu H, Zhang S, Xu L, Gao W, Li J, Qian J, Zheng Y. Triglyceride-glucose index is associated with severe obstructive coronary artery disease and atherosclerotic target lesion failure among young adults. Cardiovascular Diabetology. 2023 Oct 21;22(1):283.
13.Zhang Z, Chen Q, Chen Q, Hou J, Li X, Fu J, Luo Y, Su H, Long Y, Feng Q, Peng X. A synergistic effect of remnant cholesterol and C-Reactive protein on predicting the severity of coronary artery disease. Journal of Inflammation Research. 2024 Dec 31:11291-303.
14.Lin Z, He J, Yuan S, Song C, Bian X, Yang M, Dou K. Hemoglobin glycation index and cardiovascular outcomes in patients with diabetes and coronary artery disease: insights from a large cohort study. Nutrition & Diabetes. 2024 Aug 28;14(1):69.
15.Wang H, Huang Z, Wang J, Yue S, Hou Y, Ren R, Zhang Y, Cheng Y, Zhang R, Mu Y. Predictive value of system immune-inflammation index for the severity of coronary stenosis in patients with coronary heart disease and diabetes mellitus. Scientific reports. 2024 Dec 28;14(1):31370.
16.Hadi N, Zaidi IA, Kamal Z, Khan RU, Khan MH, Omair F, Khan Jr RU. Estimation of serum malondialdehyde (a marker of oxidative stress) as a predictive biomarker for the severity of coronary artery disease (CAD) and cardiovascular outcomes. Cureus. 2024 Sep 19;16(9).
17.Yang T, Li G, Wang C, Xu G, Li Q, Yang Y, Zhu L, Chen L, Li X, Yang H. Insulin resistance and coronary inflammation in patients with coronary artery disease: a cross-sectional study. Cardiovascular Diabetology. 2024 Feb 24;23(1):79.

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