CLINICAL PROFILE OF DIABETIC RETINOPATHY AMONG TYPE II DIABETES MELLITUS PATIENTS IN A TERTIARY CARE HOSPITAL: A CROSS-SECTIONAL STUDY

Main Article Content

Dr RAHUL GOYAL

Keywords

Diabetic retinopathy, Type II diabetes mellitus, tertiary care, glycemic control, risk factors

Abstract

Introduction: Diabetic retinopathy (DR) represents a major microvascular complication of diabetes mellitus and a leading cause of preventable blindness globally. Understanding the clinical profile of DR in tertiary care settings is crucial for developing effective management strategies, particularly in resource-limited healthcare systems.


Methods: A hospital-based cross-sectional study was conducted at Vyas Medical College and Hospital, Jodhpur, over six months (March-August 2025). Using systematic random sampling, 350 Type II diabetes mellitus patients aged ≥18 years were enrolled. Comprehensive ophthalmologic examination including dilated fundoscopy and digital fundus photography was performed. DR grading followed International Clinical Diabetic Retinopathy severity scale. Data collection included demographic information, diabetes history, clinical parameters, and laboratory investigations. Statistical analysis employed chi-square tests, t-tests, and multivariate logistic regression.


Results: Overall DR prevalence was 31.1% (95% CI: 26.3-36.3%). Severity distribution included mild NPDR (16.0%), moderate NPDR (8.3%), severe NPDR (3.4%), and PDR (3.4%). Vision-threatening DR affected 6.9% of patients. Diabetes duration >15 years showed 7.42-fold increased risk (95% CI: 3.45-15.95), while poor glycemic control (HbA1c ≥9%) demonstrated 4.23-fold increased risk (95% CI: 2.27-7.87). Hypertension was associated with 1.74-fold increased risk (95% CI: 1.09-2.78). Progressive visual impairment correlated significantly with increasing DR severity.


Conclusion: The study reveals significant DR burden in tertiary care settings with strong associations between modifiable risk factors and disease development. Duration of diabetes, glycemic control, and hypertension emerged as key determinants requiring targeted interventions for effective DR prevention and management.

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References

• Alswaina, N., Althomali, T. A., & Alrasheed, A. A. (2024). Association between HbA1c levels and the severity of diabetic retinopathy. Cureus, 16(12), e76395. https://doi.org/10.7759/cureus.76395
• Berrabeh, S., Elmehraoui, O., Benouda, S., Assarrar, I., Rouf, S., & Latrech, H. (2023). Prevalence and risk factors of retinopathy in type 1 diabetes: A cross-sectional study. Cureus, 15(10), e47993. https://doi.org/10.7759/cureus.47993
• Bhaskaranand, M., Cuadros, J., Ramachandra, C., Bhat, S., Nittala, M. G., Sadda, S. R., & Solanki, K. (2016). Automated diabetic retinopathy screening and monitoring using retinal fundus image analysis. Journal of Diabetes Science and Technology, 10(2), 254-261. https://doi.org/10.1177/1932296816629047
• Do, D. V., Han, G., Abariga, S. A., Sleilati, G., & Vedula, S. S. (2023). Blood pressure control for diabetic retinopathy. Cochrane Database of Systematic Reviews, 3(3), CD006127. https://doi.org/10.1002/14651858.CD006127.pub3
• Devatha, S., & Preethi, S. (2024). Prevalence of diabetic retinopathy in type 2 diabetic patients at tertiary hospital, Bangalore, India. International Journal of Medical Research and Review, 12(1), 29-35. https://doi.org/10.17511/ijmrr.2024.i01.05
• ElSayed, N. A., Aleppo, G., Bannuru, R. R., Bruemmer, D., Collins, B. S., Ekhlaspour, L., Gibbons, C. H., Giurini, J. M., Hilliard, M. E., Johnson, E. L., Khunti, K., Lingvay, I., Matfin, G., McCoy, R. G., Perry, M. L., Pilla, S. J., Polsky, S., Prahalad, P., Pratley, R. E., ... Gabbay, R. A. (2024). 12. Retinopathy, neuropathy, and foot care: Standards of care in diabetes—2024. Diabetes Care, 47(Supplement 1), S231-S243. https://doi.org/10.2337/dc24-S012
• Gurudas, S., Vasconcelos, J. C., Prevost, A. T., Raman, R., Rajalakshmi, R., Ramasamy, K., Mohan, V., Rani, P. K., Das, T., Conroy, D., Tapp, R. J., & Sivaprasad, S. (2022). Prevalence of diabetic retinopathy in India stratified by known and undiagnosed diabetes, urban-rural locations, and socioeconomic indices: results from the SMART India population-based cross-sectional screening study. The Lancet Global Health, 10(11), e1581-e1592. https://doi.org/10.1016/S2214-109X(22)00411-9
• Ishihara, M., Yukimura, Y., Aizawa, T., Yamada, T., Ohto, K., & Yoshizawa, K. (1987). High blood pressure as risk factor in diabetic retinopathy development in NIDDM patients. Diabetes Care, 10(1), 20-25. https://doi.org/10.2337/diacare.10.1.20
• Kropp, M., Golubnitschaja, O., Mazurakova, A., Koklesova, L., Sargheini, N., Vo, T. T., de Clerck, E., Polivka, J., Potuznik, P., Polivka, J., Mohelnikova-Duchonova, B., Kello, M., Samec, M., Liskova, A., Kubatka, P., & Golubnitschaja-Flammer, O. (2023). Diabetic retinopathy as the leading cause of blindness and early predictor of cascading complications—risks and mitigation. EPMA Journal, 14(1), 21-42. https://doi.org/10.1007/s13167-023-00314-8
• Lachin, J. M., Genuth, S., Nathan, D. M., Zinman, B., & Rutledge, B. N. (2001). Risk of developing retinopathy in diabetes control and complications trial type 1 diabetic patients with good or poor metabolic control. Diabetes Care, 24(7), 1275-1279. https://doi.org/10.2337/diacare.24.7.1275
• Li, C., Yu, H., Zhu, Z., Shang, X., Huang, Y., Sabanayagam, C., Yang, X., & Liu, L. (2023). Association of blood pressure with incident diabetic microvascular complications among diabetic patients: Longitudinal findings from the UK Biobank. Journal of Global Health, 13, 04027. https://doi.org/10.7189/jogh.13.04027
• Matthews, D. R., Stratton, I. M., Aldington, S. J., Holman, R. R., Kohner, E. M., & UK Prospective Diabetes Study Group. (2004). Risks of progression of retinopathy and vision loss related to tight blood pressure control in type 2 diabetes mellitus: UKPDS 69. Archives of Ophthalmology, 122(11), 1631-1640. https://doi.org/10.1001/archopht.122.11.1631
• Rajalakshmi, R., Arulmalar, S., Usha, M., Prathiba, V., Kareemuddin, K. S., Anjana, R. M., & Mohan, V. (2018). Automated diabetic retinopathy detection in smartphone-based fundus photography using artificial intelligence. Eye, 32(6), 1138-1144. https://doi.org/10.1038/s41433-018-0064-9
• Ramavat, P. R., Ramavat, M. R., Ghugare, B. W., Vaishnav, R. G., & Joshi, M. U. (2013). Prevalence of diabetic retinopathy in western Indian type 2 diabetic population: A hospital-based cross-sectional study. Journal of Clinical and Diagnostic Research, 7(7), 1387-1390. https://doi.org/10.7860/JCDR/2013/5259.3146
• Rani, P. K., Raman, R., Chandrakantan, A., Pal, S. S., Perumal, G. M., & Sharma, T. (2021). Prevalence of diabetic retinopathy in India: Results from the National Survey 2015-19. Indian Journal of Ophthalmology, 69(12), 3423-3428. https://doi.org/10.4103/ijo.IJO_1310_21
• Sen, S., Ramasamy, K., Vignesh, T. P., Kannan, N. B., Sivaprasad, S., Rajalakshmi, R., Raman, R., Mohan, V., Das, T., & Mani, I. (2021). Identification of risk factors for targeted diabetic retinopathy screening to urgently decrease the rate of blindness in people with diabetes in India. Indian Journal of Ophthalmology, 69(11), 3156-3164. https://doi.org/10.4103/ijo.IJO_496_21
• Simó, R., Franch-Nadal, J., Vlacho, B., Real, J., Amado, E., Flores, J., Mata-Cases, M., Ortega, E., Rigla, M., Vallés, J. A., Hernández, C., & Mauricio, D. (2023). Rapid reduction of HbA1c and early worsening of diabetic retinopathy: A real-world population-based study in subjects with type 2 diabetes. Diabetes Care, 46(9), 1633-1639. https://doi.org/10.2337/dc22-2521
• Tarasewicz, D., Conell, C., Gilliam, L. K., & Melles, R. B. (2023). Quantification of risk factors for diabetic retinopathy progression. Acta Diabetologica, 60(2), 153-161. https://doi.org/10.1007/s00592-022-01985-5
• Teo, Z. L., Tham, Y. C., Yu, M., Chee, M. L., Rim, T. H., Cheung, N., Bikbov, M. M., Wang, Y. X., Tang, Y., Lu, Y., Wong, I. Y., Ting, D. S., Tan, G. S., Jonas, J. B., Sabanayagam, C., Cheng, C. Y., Wang, N., Nangia, V., Resnikoff, S., ... Wong, T. Y. (2021). Global prevalence of diabetic retinopathy and projection of burden through 2045: Systematic review and meta-analysis. Ophthalmology, 128(11), 1580-1591. https://doi.org/10.1016/j.ophtha.2021.04.027
• The Diabetes Control and Complications Trial Research Group. (1995). The relationship of glycemic exposure (HbA1c) to the risk of development and progression of retinopathy in the diabetes control and complications trial. Diabetes, 44(8), 968-983. https://doi.org/10.2337/diab.44.8.968
• Wong, T. Y., Cheung, C. M., Larsen, M., Sharma, S., & Simó, R. (2016). Diabetic retinopathy. Nature Reviews Disease Primers, 2(1), 16012. https://doi.org/10.1038/nrdp.2016.12
• Zegeye, A. F., Temachu, Y. Z., & Mekonnen, C. K. (2023). Prevalence and factors associated with diabetes retinopathy among type 2 diabetic patients at Northwest Amhara Comprehensive Specialized Hospitals, Northwest Ethiopia 2021. BMC Ophthalmology, 23(1), 9. https://doi.org/10.1186/s12886-022-02746-8
• Zhang, L., Qiao, Y., Ozaki, M., Xu, B., Chen, L., Chen, X., Wang, L., Wu, J., & Chen, Z. (2023). Associations between blood pressure levels and diabetic retinopathy in patients with diabetes mellitus: A population-based study. Heliyon, 9(6), e16829. https://doi.org/10.1016/j.heliyon.2023.e16829