Interrelationship between glycated hemoglobin and fasting blood sugar on status of diabetic retinopathy among type 2 diabetic patients at a tertiary hospital in northwestern Nigeria
Abstract
INTRODUCTION
Diabetic retinopathy (DR) is the most common cause of preventable blindness in the world's adult working population.1 More than 60% of patients with type 2 diabetes mellitus (DM) will develop some degree of retinopathy after 20 years with the disease.2 DR is the most common complication of DM and is expected to increase substantially by 2045.3
Glycated hemoglobin (HbA1c) reflects the average blood glucose level over about three months, but may mask clinically significant glycemic fluctuations.4 Current screening methods may be missing those at highest risk of DR. Glycemic gap refers to the difference between the estimated average glucose derived from HbA1c and the measured fasting blood sugar (FBS). Glycemic gap can act as a useful surrogate marker of glycemic fluctuation.5
METHODS
The study was a hospital-based observational cross-sectional study involving 329 patients selected consecutively. The study population were type 2 diabetic patients attending routine diabetic clinic at Aminu Kano Teaching Hospital (AKTH). Patients with chronic kidney disease and media opacities were excluded.
All participants underwent:
- Fasting blood samples for HbA1c and FBS, collected at the same time
- Comprehensive ophthalmic examination including dilated fundoscopy and fundus photography
- Early Treatment Diabetic Retinopathy Study (ETDRS) grading of DR
- Calculation of Glycemic Gap = FBS - [(28.7 × HbA1c) – 46.7]5
RESULTS
The participants’ ages ranged from 26 to 77 years with a mean of 53.78 ± 11.58 years. The prevalence of diabetic retinopathy was 28.9%. The mean glycemic gap for the entire study population was 10.0 mg/dl, with a range of -63.5 mg/dl to +52.8 mg/dl. Among the participants, 187 (56.8%) had a positive glycemic gap and 142 (43.2%) had a negative glycemic gap. There was a significant association between the level of glycemic gap and the presence of diabetic retinopathy (p = 0.015). Patients with positive glycemic gap were significantly more likely to have diabetic retinopathy compared to those with negative glycemic gap (Table 1).
DISCUSSION
The prevalence of DR in this study is comparable to the global prevalence6 and the prevalence figures from a pooled analysis of various hospital-based studies in Africa7 and in Enugu8 and Katsina9 states. The mean glycemic gap was lower than that reported by Sonoda10 and slightly higher than that reported by Caprnda11. This may be due to differences in the study design. A significant association was found between glycaemic variability (GV) measured as glycemic gap and diabetic retinopathy, aligning with findings from several recent studies. 5,12,13,14 However, studies by Sonoda10 and Caprnda11 reported no association. This discrepancy may be attributed to differences in the methods used to evaluate GV, as both studies utilized the mean amplitude of glycemic excursions index. A positive glycemic gap drives DR through repetitive oxidative stress and endothelial dysfunction, triggering pericyte loss, VEGF upregulation and blood-retinal barrier breakdown.
CONCLUSION
This study showed a significant association between glycemic gap as a marker for glycemic variability and diabetic retinopathy.
References
REFERENCES
1. Cheung N, Mitchell P, Wong TY. Diabetic retinopathy. Lancet 2010;376(9735):124-136.
2. Wat N, Wong RL, Wong IY. Associations between diabetic retinopathy and systemic risk factors. Hong Kong Med J. 2016;22(6):589-599.
3. Tan TE, Wong TY. Diabetic retinopathy: Looking forward to 2030. Front Endocrinol (Lausanne). 2023;13:1077669. doi: 10.3389/fendo.2022.1077669.
4. Gomez-Peralta F, Choudhary P, Cosson E, Irace C, Rami-Merhar B, Seibold A. Understanding the clinical implications of differences between glucose management indicator and glycated haemoglobin. Diabetes, Obesity & Metabolism. 2022;24(4):599-608.
5. Hsing SC, Lin C, Chen JT, Chen YH, Fang WH. Glycemic gap as a useful surrogate marker for glucose variability and progression of diabetic retinopathy. J Pers Med. 2021;11(8):799-813.
6. Thomas RL, Halim S, Gurudas S, Sivaprasad S, Owens DR. IDF Diabetes Atlas: A review of studies utilizing retinal photography on the global prevalence of diabetes related retinopathy between 2015 and 2018. Diabetes Res Clin Pract. 2019;157(1):107840.
7. Alemu MG, Alimaw YA, Woredekal AT. Prevalence of diabetic retinopathy among diabetic patients in Northwest Ethiopia—A cross sectional hospital based study. PLoS ONE 2022;17(1):e0262664.
8. Kizor-Akaraiwe NN, Ezegwui IR, Oguego N, Uche NJ, N Asimadu I, Shiweobi J. Prevalence, awareness and determinants of diabetic retinopathy in a screening centre in Nigeria. J Com Eye Health. 2016;41(4):767-771.
9. Muhammad M, Manal O, Nasiru M, Oladigbolu K. Prevalence of diabetes mellitus and diabetic retinopathy in persons 50 years and above in Katsina state Nigeria: A Population based cross-sectional survey. Ophthalmic Epidemiol. 2020;27(5):384-389.
10. Sonoda S, Okada Y, Mori H, Uemura F, Sugai K, Hajime M, et al. Association between diabetic microangiopathies and glycemic variability assessed by continuous glucose monitoring. J Uni Oc Env Heal. 2018;40(1):11-18.
11. Caprnda M, Mesarosova D, Ortega PF, Krahulec B, Egom E, Rodrigo L, et al. Glycemic variability and vascular complications in patients with type 2 diabetes mellitus. Folia Med. 2017;59(3):270-278
12. Yin L, Zhang D, Ren Q, Su X, Sun Z. Prevalence and risk factors of diabetic retinopathy in diabetic patients: A community based cross-sectional study. Medicine. 2020;99(9):e19236.
13. Smith-Palmer J, Brändle M, Trevisan R, Orsini FM, Liabat S, Valentine W. Assessment of the association between glycemic variability and diabetes-related complications in type 1 and type 2 diabetes. Diabetes Res Clin Pract. 2014;105(3):273-284.
14. Gorst C, Kwok CS, Aslam S, Buchan I, Kontopantelis E, Myint PK, et al. Long-term glycemic variability and risk of adverse outcomes: a systematic review and meta-analysis. Diabetes Care. 2015;38(12):2354-2369
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