Purpose: To present clinical profile and risk factors of sight-threatening diabetic retinopathy (STDR) among people with age of onset of diabetes (AOD) <25 versus ≥25 years.
Methods: A retrospective chart analysis of consecutive patients with diabetic retinopathy (DR) n = 654) treated at 14 eye care centers across India between 2018 and 2019 was performed. Patients were divided into two groups, Group 1: AOD <25 years and Group 2: AOD ≥25 years. DR and diabetic macular edema (DME) were classified using the International Clinical Classification of DR severity scale. STDR included severe nonproliferative DR (NPDR), proliferative DR (PDR), and moderate to severe DME. A multilevel mixed-effects model was used for comparison between two groups: 1) Patients with DR and AOD <25 years and 2) Patients with DR and AOD ≥25 years. Bivariate and multivariate regression analyses were used to evaluate risk factors between the two groups.
Results: A total of 654 patients were included, 161 (307 eyes) in AOD <25 and 493 (927 eyes) in AOD >25 group. There was a higher prevalence of PDR with high-risk characteristics in AOD <25 group (24% vs. 12%) at baseline and 12-month follow-up (25% vs. 6%); P < 0.001. Systolic hypertension and poor glycemic control were risk factors in both groups, with no difference in these modifiable risk factors between groups.
Conclusion: People with youth-onset DM are likely to present with severer form of STDR despite similar modifiable risk factors. Therefore, strict control of systolic blood pressure, glycemic status, and regular screening for DR are recommended to reduce the risk of STDR irrespective of the age of onset of diabetes.
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http://dx.doi.org/10.4103/ijo.IJO_1459_21 | DOI Listing |
Sci Rep
January 2025
Department of Computer Science and Information Technology, Benazir Bhutto Shaheed University Lyari, Karachi, 75660, Pakistan.
Deep learning-based medical image analysis has shown strong potential in disease categorization, segmentation, detection, and even prediction. However, in high-stakes and complex domains like healthcare, the opaque nature of these models makes it challenging to trust predictions, particularly in uncertain cases. This sort of uncertainty can be crucial in medical image analysis; diabetic retinopathy is an example where even slight errors without an indication of confidence can have adverse impacts.
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January 2025
Department of Mathematics, Wollega University, 395, Nekemte, Ethiopia.
Topological indices (TIs) of chemical graphs of drugs hold the potential to compute important properties and biological activities leading to more thoughtful drug design. Here, we considered certain drugs treating eye-related disorders, including cataract, glaucoma, diabetic retinopathy, and macular degeneration. By combining modeling and decision-makings approaches, this study presents a cost-effective way to comprehend the behavior of molecules.
View Article and Find Full Text PDFBMJ Open
January 2025
Diabetes Care Unit, Caen University Hospital, Caen cedex 09, France.
Introduction: Glycated haemoglobin (HbA1c) is currently the gold standard for assessing glycaemic control in diabetes, given the established relationship with microvascular and macrovascular complications in this condition. However, HbA1c is affected by non-glycaemic factors, while also failing to provide data on hypoglycaemic exposure and glucose variability, which are associated with adverse vascular outcomes. Continuous glucose monitoring (CGM)-derived glucose metrics provide a more comprehensive assessment of glycaemia, but their role in predicting future vascular complications remains unclear.
View Article and Find Full Text PDFBMJ Case Rep
January 2025
Ophthalmology, JIPMER, Puducherry, India.
Central serous chorioretinopathy (CSC) is a known side effect of systemic steroid therapy. The role of intravitreal steroids in causing CSC is controversial. We present two cases of acute CSC that developed after intravitreal steroid injections.
View Article and Find Full Text PDFJ Ocul Pharmacol Ther
January 2025
Centre for Neuroscience Research (NeuRon), Faculty of Medicine, Universiti Teknologi MARA, Selangor, Malaysia.
Vitamin E is renowned for its potent antioxidant properties, crucial for shielding cells against oxidative stress and damage. Deficiency in this vitamin can lead to various health issues, including neurodegenerative diseases, due to its pivotal role in preserving cell membrane integrity and combating cellular oxidative damage. While its importance for overall health, including neurodegeneration, is acknowledged, the specific correlation between vitamin E deficiency and distinct ocular neurodegenerative disorders need to be further explored.
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