PHOTOFUNDUS CHARACTERISTIC OF DIABETES MELITUS PATIENT IN PRIMARY AND SECONDARY HEALTH CARE CENTERS
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Abstract
Introduction: The prevalence of diabetes mellitus increases over time in line with the prevalence of diabetic retinopathy is also expected to increase. It is not possible to determine which diabetic patients will have retinopathy, so therefore screening is needed. This study aims to have a better understanding in managing DM patients in the future, especially in cases of diabetic retinopathy in primary, secondary & community health care centers.
Methods: A descriptive analytical study. Data collected cross sectional study based of characteristic and portable photo fundus from DM patients while doing social service at a health service center.
Results: Portable photo fundus in this study, screening 138 DM patients, with majority of subjects is in the range 44-64 year age group (68.1%). There was the same number of patient between gender or type. History of DM in the family (63.0%) with a duration of DM ≤ 5 years (56.5%), mostly the quality of photo fundus that can be assessed (97.1%), patients who needed further treatment were referred to the ophthalmologist 59 cases (42.8%).
Conclusion: People who live far from cities and have limited access to health facilities can be reached using this portable photo fundus, so that blindness in peripheral areas will be more easily detected and this can be used as a screening modality and blindness due to diabetic retinopathy can be prevented.
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References
2. International Diabetes Federation. Diabetes and cardiovascular disease. Brussels, Belgium: International Diabetes Federation 2016. Available from www.idf.org/our-activities/care-prevention/cardiovascular-disease/cvd report.
3. Global Burden of Disease 2019 Blindness and Vision Impairment Collaborators, Vision Loss Expert Group of the Global Burden of Disease Study. Causes of blindness and vision impairment in 2020 and trends over 30 years, and prevalence of avoidable blindness in relation to VISION 2020: the Right to Sight: an analysis for the Global Burden of Disease Study. Lancet Glob Health,2021. 9(2):e144ee160.
4. Khandekar R. Screening and Public Health Strategies for Diabetic Retinopathy in the Eastern Mediterranean Region. Middle East Afr J Ophthalmol, 2012. 19(2):178–184. PMID: 22623855
5. Sasongko MB, Widyaputri F, Agni AN, Wardhana FS, Kotha S, Gupta P, et al. Prevalence of diabetic retinopathy and blindness in Indonesian adults with type 2 diabetes. American Journal of Ophthalmology. 2017. 181:79-87
6. Mas Putrawati A A.,Bakta M, Suastika K, Habiba-Muhiddin H S, Niti Susila N K. Polymorphism of vascular endothelial Growth factor regio promoter c(-634)g as a risk factor of balinese type-2 diabetic retinopathy. Bali Medical Journal. 2015
7. American Diabetes Association. Diagnosis and Classification of Diabetes Melitus. Diabetes Care. 2010. Vol.33: S62-9
8. Deshpande, A. D., Harris-Hayes, M., & Schootman, M. Epidemiology of diabetes and diabetes-related complications. Physical therapy, 2008. 88(11), 1254–1264. https://doi.org/10.2522/ptj.20080020
9. El-Kebbi, I. M., Bidikian, N. H., Hneiny, L., & Nasrallah, M. P. Epidemiology of type 2 diabetes in the Middle East and North Africa: Challenges and call for action. World journal of diabetes. 2021. 12(9), 1401–1425. https://doi.org/10.4239/wjd.v12.i9.1401
10. Gonzalez RC, Woods RE. Digital image processing. Upper Saddle River, NJ: Prentice Hall; 2002
11. Panwar, N., Huang, P., Lee, J., Keane, P. A., Chuan, T. S., Richhariya, A., Teoh, S., Lim, T. H., & Agrawal, R. Fundus Photography in the 21st Century--A Review of Recent Technological Advances and Their Implications for Worldwide Healthcare. Telemedicine journal and e-health : the official journal of the American Telemedicine Association. 2016. 22(3), 198–208. https://doi.org/10.1089/tmj.2015.0068
12. Wang FH, Liang YB, Zhang F, Wang JJ, Wei WB, Tao QS, et al. Prevalence of diabetic retinopathy in rural China: the Handan Eye Study. Ophthalmology 2009;116(3):461-7.
13. Maberley D, Morris A, Hay D. A comparison of digital retinal image quality among photographers with different levels of training using a nonmydriatic fundus camera. Ophthalmic Epidemiol; 2004. 11(3):191-7.
14. Song SJ, Han K, Choi KS, Ko SH, Rhee EJ, Park CY et al .Trends in diabetic retinopathy and related medical practices among type 2 diabetes patients: results from the National Insurance Service Survey 2006–2013. J Diabetes Investig 2018. 9:173–178
15. Ting DS, Cheung GC, Wong TY. Diabetic retinopathy: global prevalence, major risk factors, screening practices and public health challenges: a review. Clin Exp Ophthalmol; 2016. 44(4): 260e277.
16. Ting DSW, Cheung CYL, Lim G, Tan GSW, Quang ND, Gan A, et al. Development and validation of a deep learning system for diabetic retinopathy and related eye diseases using retinal images from multiethnic populations with diabetes. JAMA - Journal of the American Medical Association. 2017 Dec 12;318(22):2211–23.
17. The Saint Vincent Declaration. Acta Ophthalmol Scand. 1997;75(S223):63 http://onlinelibrary.wiley.com/doi/10.1111/j.1600-0420.1997.tb00440.x/pdf.
18. Wong T, Sun J, Kawasaki R, Ruamviboonsuk P, Gupta N, Lansingh V et al. Guidelines on diabetic eye care. Ophthalmology. 2018;125(10):1608-22