Diabetic retinopathy (DR) is a leading cause of preventable vision impairment and blindness in the European Region. Despite the fact that almost all European countries have some kind of prophylactic eye examination for people with diabetes, the examinations are not properly arranged and are not organized according to the principles of screening in medicine. In 2021, the current COVID-19 pandemic moved telemedicine to the forefront healthcare services. Due to that, a lot more patients could benefit from comfortable and faster access to ophthalmology specialist care. This study aimed to conduct a narrative literature review on current DR screening programs and registries in the European Union for the last 20 years. With the implementation of telemedicine in daily medical practice, performing screening programs became much more attainable. Remote assessment of retinal pictures simultaneously saves countries time, money, and other resources.

Background: Diabetic retinopathy (DR) is a leading cause of visual impairment globally among working-aged individuals. This study aims to update data on DR prevalence in Bulgaria. Methods: The present cross-sectional study was conducted between 1 January 2022 and 1 January 2023, using a local diabetes registry from the city of Varna as a sampling framework. In total, 587 diabetic patients underwent DR examination. Data included demographics, diabetes type/duration, treatment, and ophthalmic history. DR status was assessed using indirect slit-lamp biomicroscopy or digital fundus photography, graded by the International Clinical Diabetic Retinopathy Scale. Results: Of 587 participants, 13 were excluded due to cataract-related ungradable images. The median age was 65 years (IQR 56–73), with a slight female predominance (54%). The overall prevalence of any DR was 39.9% (95% CI 35.9–44.0), with non-proliferative DR (NPDR) at 27.5%, proliferative DR (PDR) at 7.3%, and macular edema (DME) at 5%. Type 1 diabetes patients had significantly higher DR prevalence (68.8%) than type 2 (34.1%, p < 0.001). Men exhibited higher DR prevalence. Age and diabetes duration correlated positively with DR prevalence. Insulin treatment was associated with higher DR prevalence (55.6%) than oral antidiabetic treatment (22.5%, p < 0.001) for type 2 diabetes patients. Among those diagnosed with DR, 70.9% received treatment, mainly laser therapy. Conclusions: These findings provide epidemiological insights for future research and emphasize the need for a comprehensive national DR screening program in Bulgaria. Technological advancements enable proactive measures to mitigate DR-related visual impairment and blindness, including widespread screening, even in rural areas.

Summary The purpose of the study was to present the ability of Drusen analysis software tool to measure drusen area and volume in patients with dry age-related macular degeneration (AMD). Eleven patients with confirmed dry AMD aged 59-74 years were scanned with 3D OCT-2000 Topcon 3D Macula scanning protocol by a single operator. All subjects underwent a complete ophthalmologic examination including best corrected visual acuity, indirect biomicroscopy, tonometry, fluorescein angiography and OCT. Drusen analysis was performed on the macula with 6.0 × 6.0 mm volume cube scans and 512×128 pixels scan resolution. The results were presented along with calculated values in two clearly arranged reports. Mean follow-up period was 19 months (6-40). Count, area occupation, volume of the drusen and 3D retinal pigment epithelium (RPE) elevation map were presented in a Macula drusen analysis report. Drusen count and volume in 6 patients were increased at the end of follow-up period. There were 5 patients with regression in drusen count and area and volume of the drusen in 3 of them were higher than on previous examination. Another 2 were with regression not only in drusen count but also in their area and volume. With this software tool the status of RPE can be objectively and automatically examined in detail and can be followed up over time. OCT allows for precise quantitative evaluation and study of microstructural changes in patients with dry AMD and provides three-dimensional information of macular pathology in situ and in real time. This could be useful for determining stages and monitoring the progression of AMD.

Comparative analysis of the quality of life in patients with different stages of diabetic retinopathy

Background: To evaluate the association between glaucomatous visual field loss and self-reported driving limitation, and to explore potential threshold ranges of visual field loss associated with an increased likelihood of driving restriction. Methods: In this cross-sectional study, 100 patients with primary open-angle glaucoma underwent standard automated perimetry. Visual function was assessed using Mean Deviation (MD) and Visual Field Index (VFI) from the better eye. Driving status, driving limitation, and self-reported driving difficulties were assessed using a structured questionnaire. Multivariable logistic regression was performed to determine independent associations between visual field parameters and driving limitation, adjusting for age, sex, cataract status, and systemic comorbidities. Because MD and VFI are closely related indices of visual field loss, separate multivariable models were constructed for each parameter. Receiver operating characteristic (ROC) analysis was used to explore threshold values associated with driving limitation. Results: Driving limitation increased progressively with worsening functional severity, affecting 17% of participants with preserved function, 48% of those with borderline impairment, and 72% of those with definite impairment (p < 0.001). Reduced VFI was independently associated with driving limitation (OR = 0.972, 95% CI: 0.948–0.996; p = 0.021). In a separate model, more negative MD was also independently associated with driving limitation (OR = 0.924, 95% CI: 0.875–0.976; p = 0.004). Male sex was associated with a lower likelihood of driving limitation. ROC analysis identified threshold values of VFI ≤ 71% (AUC = 0.663) and MD ≤ −13.36 dB (AUC = 0.650), both characterized by high specificity but limited sensitivity. Participants who had ceased driving demonstrated worse visual field indices than active drivers, whereas never-drivers showed no consistent association with visual field loss. Conclusions: Glaucomatous visual field loss was significantly associated with self-reported driving limitation and behavioural self-regulation. Objective perimetric parameters, particularly VFI and MD in the better eye, may help identify patients more likely to report driving difficulties. The reported threshold values should be interpreted as exploratory reference points rather than clinically actionable criteria and require further validation before clinical application.