Objective: The study aimed to determine the prevalence of sight-threatening diabetic retinopathy and its predictors among patients with diabetes attending Adare General Hospital in Southern Ethiopia.
Design: A hospital-based cross-sectional study was conducted using a systematic random sampling method.
Setting: The study was conducted at the diabetic clinic of Adare General Hospital in Sidama region, Southern Ethiopia.
Participants: The study included 391 patients with diabetes aged ≥18 years who had attended the diabetic clinic of Adare General Hospital in Southern Ethiopia.
Main Outcome Measures: Data were collected using questionnaires completed by an interviewer, a review of medical records and eye examinations.
Result: The study included 391 patients with diabetes with a median age of 49 years. The prevalence of sight-threatening diabetic retinopathy was 10.7% (95% CI: 7.7% to 14%). Rural dwellers (adjusted OR (AOR)=2.17, 95% CI: 1.05 to 4.46), duration of diabetes ≥6 years (AOR=2.43, 95% CI: 1.06 to 5.57), poor glycaemic control (AOR=2.80, 95% CI: 1.03 to 7.64), low physical activity (AOR=2.85, 95% CI: 1.01 to 8.05), hypertension (AOR=3.25, 95% CI: 1.48 to 7.15) and diabetic peripheral neuropathy (AOR=3.32, 95% CI: 1.18 to 9.33) were significantly associated with sight-threatening diabetic retinopathy.
Conclusion: This study showed a high prevalence of sight-threatening diabetic retinopathy. Sight-threatening diabetic retinopathy was significantly associated with modified factors such as glycaemic control, hypertension, physical activity and diabetic peripheral neuropathy. Therefore, all patients with diabetes were recommended to maintain normal blood glucose, avoid hypertension, exercise regularly and have regular eye examinations.
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http://dx.doi.org/10.1136/bmjopen-2023-077552 | DOI Listing |
Indian J Ophthalmol
January 2025
Department of Pharmacy Practice, National Institute of Pharmaceutical Education and Research (NIPER), SAS Nagar (Mohali), Punjab, India.
Diabetic retinopathy (DR) is a predominant cause of vision impairment globally. Understanding risk factors is crucial for effective planning. The aim of this study is to comprehensively investigate the risk factors in the Indian population contributing to the increased incidence of DR, which is a potentially sight-threatening complication among diabetic individuals.
View Article and Find Full Text PDFPeerJ
December 2024
Department of Public Health, Faculty of Medicine, Hasanuddin University, Makassar, Indonesia.
Background: Diabetic retinopathy (DR), a leading cause of vision loss worldwide, is a common complication of type 2 diabetes mellitus (T2DM) driven by chronic hyperglycemia and microvascular damage. Fibroblast growth factor 21 (FGF21) is crucial in blood sugar regulation and has been linked to DR incidence and severity. While some studies suggest that FGF21 levels may contribute to the DR incidence, others propose a protective role.
View Article and Find Full Text PDFActa Ophthalmol
December 2024
Department of Ophthalmology, University Hospitals UZ Leuven, Leuven, Belgium.
Purpose: To compare two artificial intelligence (AI)-based Automated Diabetic Retinopathy Image Assessment (ARIA) softwares in terms of concordance with specialist human graders and referable diabetic retinopathy (DR) diagnostic capacity.
Methods: Retrospective comparative study including 750 consecutive diabetes mellitus patients imaged for non-mydriatic fundus photographs. For each patient four images (45 degrees field of view) were captured, centered on the optic disc and macula.
Acta Ophthalmol
November 2024
School of Public Health; The Fourth Affiliated Hospital of Soochow University, Suzhou Medical College of Soochow University, Suzhou, China.
The purpose of this study was to: (a) investigate the comorbidities of major sight-threatening eye disorders with mental disorders, (b) investigate the associations and prevalence of reported comorbidities and (c) identify potential influencing factors. A systematic review of the PubMed, Embase, Web of Science and Cochrane Library databases was conducted from inception to 30 December 2023. Studies that presented only laboratory results or used non-representative sampling methods were excluded.
View Article and Find Full Text PDFSemin Ophthalmol
November 2024
Department of Diabetology, Dr. Mohan's Diabetes Specialities Centre and Madras Diabetes Research Foundation, Chennai, India.
Aim: Regular screening of large number of people with diabetes for diabetic retinopathy (DR) with the support of available human resources alone is a global challenge. Digital health innovation is a boon in screening for DR. Multiple artificial intelligence (AI)-based deep learning (DL) algorithms have shown promise for accurate diagnosis of referable DR (RDR).
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