Prevalence of age-related macular degeneration among optometric telemedicine users in Spain: a retrospective nationwide population-based study

Prevalence and Risk Factors of Fundus Pathology in Patients with Type 2 Diabetes in a Northeastern Chinese Cohort

PURPOSE

To assess the prevalence of and risk factors for fundus pathology in patients with type 2 diabetes mellitus (T2DM) in a cohort from northeastern China.

METHODS

Patients were included from the Fushun Diabetic Retinopathy Cohort Study. Patients aged ≥ 30 years with T2DM were recruited between July 2012 and May 2013. Fundus pathology included retinal vascular occlusion (RVO), age-related macular degeneration (AMD), macular pathology, pathologic myopia (PM) and glaucomatous optic atrophy (GOA).

RESULTS

A Total of 1998 patients with gradable fundus photographs were included in this study, of whom 388 (19.42%) had fundus pathology regardless of whether they had diabetic retinopathy (DR). There were 187 (9.36%) patients with AMD, 97 (4.85%) with GOA, 67 (3.35%) with macular pathology, 35 (1.75%) with PM and 23 (1.15%) with RVO. Advanced age was significantly associated with AMD (odds ratio (OR), 95% confidence interval (CI): 1.03, 1.01-1.05), macular pathology (OR, 95% CI: 1.06, 1.03-1.09) and GOA (OR, 95% CI: 1.06, 1.04-1.09). A wider central retinal arteriolar equivalent was protective against PM (OR, 95% CI: 0.78, 0.66-0.92). Wider central retinal venular equivalent was a protective factor for PM (OR, 95% CI: 0.75, 0.68-0.82) and GOA (OR, 95% CI: 0.93, 0.87-0.99).

CONCLUSIONS

One-fifth of these patients in northeast China with T2DM had fundus pathology regardless of whether they had DR, indicating the importance of early screening and long-term follow-up.

An overview of retinal light damage models for preclinical studies on age-related macular degeneration: identifying molecular hallmarks and therapeutic targets

Age-related macular degeneration (AMD) is a complex, multifactorial disease leading to progressive and irreversible retinal degeneration, whose pathogenesis has not been fully elucidated yet. Due to the complexity and to the multiple features of the disease, many efforts have been made to develop animal models which faithfully reproduce the overall AMD hallmarks or that are able to mimic the different AMD stages. In this context, light damage (LD) rodent models of AMD represent a suitable and reliable approach to mimic the different AMD forms (dry, wet and geographic atrophy) while maintaining the time-dependent progression of the disease. In this review, we comprehensively reported how the LD paradigms reproduce the main features of human AMD. We discuss the capability of these models to broaden the knowledge in AMD research, with a focus on the mechanisms and the molecular hallmarks underlying the pathogenesis of the disease. We also critically revise the remaining challenges and future directions for the use of LD models.

Expert Consensus on Geographic Atrophy in the EU: A Call for Urgent Policy Action

Geographic atrophy is an eye disease that greatly interferes with the daily lives of patients and their families, posing a serious threat to the aging European demographic. Over the past 30 months, this initiative has assembled leading experts in the field of ophthalmology to share insights on the necessary policy steps that need to be taken to overcome this challenge on an EU-wide scale. Through analyzing best practices in Germany, Italy, France, and Spain, this consensus paper sets out a series of policy recommendations, which, if implemented, could greatly benefit all individuals affected by geographic atrophy. Amongst other features, these countries have provided valuable examples of awareness campaigns and an overall commitment to inclusive and comprehensive policies. The policy recommendations emerging from this paper include the adoption of comprehensive screening programs, retinal disease screening in the EU Driving License Directive, the development of a white paper at the European Commission, and the creation of Council recommendations on eye health screening. Given the significant improvements made at the national level throughout the EU, countries will require unitary support at the European level to further develop their policies and successfully address the burden of geographic atrophy.

Prevalence and Associated Risk Factors of Age-Related Macular Degeneration in the Retina Clinic at a Tertiary Center in Makkah Province, Saudi Arabia: A Retrospective Record Review

Background Age-related macular degeneration (AMD) is a progressive disease involving the macular region of the retina and is considered a significant cause of vision loss worldwide. With the increase in life expectancy in various countries, this problem has become more apparent. We retrospectively evaluated the prevalence of AMD among patients visiting the retina clinic at King Abdulaziz University Hospital (Jeddah, Makkah Province, Saudi Arabia) to identify the commonly associated risk factors of AMD. Methods The records of 3,067 individuals from 2017 to 2021 were reviewed. Of these, 1,935 were enrolled in the study. Results The prevalence of AMD among the patients was 4%. Regarding non-modifiable risk factors, age and having a family history of AMD showed a significant association (p = 0.001 and 0.043, respectively). However, sex and nationality were not significantly associated. As for modifiable risk factors, smoking and hypertension demonstrated a significant relationship (p < 0.001 and p = 0.002, respectively). However, the association with diabetes mellitus and dyslipidemia was not significant. Conclusion Our study shows that AMD is widely prevalent in Saudi Arabia and is associated with age, family history, smoking, and hypertension. Therefore, patients at risk of AMD must be screened and managed promptly before disease progression.

Binary and multi-class automated detection of age-related macular degeneration using convolutional- and transformer-based architectures

BACKGROUND AND OBJECTIVE

Age-related macular degeneration (AMD) is an eye disease that happens when ageing causes damage to the macula, and it is the leading cause of blindness in developed countries. Screening retinal fundus images allows ophthalmologists to early detect, diagnose and treat this disease; however, the manual interpretation of images is a time-consuming task. In this paper, we aim to study different deep learning methods to diagnose AMD.

METHODS

We have conducted a thorough study of two families of deep learning models based on convolutional neural networks (CNN) and transformer architectures to automatically diagnose referable/non-referable AMD, and grade AMD severity scales (no AMD, early AMD, intermediate AMD, and advanced AMD). In addition, we have analysed several progressive resizing strategies and ensemble methods for convolutional-based architectures to further improve the performance of the models.

RESULTS

As a first result, we have shown that transformer-based architectures obtain considerably worse results than convolutional-based architectures for diagnosing AMD. Moreover, we have built a model for diagnosing referable AMD that yielded a mean F1-score (SD) of 92.60% (0.47), a mean AUROC (SD) of 97.53% (0.40), and a mean weighted kappa coefficient (SD) of 85.28% (0.91); and an ensemble of models for grading AMD severity scales with a mean accuracy (SD) of 82.55% (2.92), and a mean weighted kappa coefficient (SD) of 84.76% (2.45).

CONCLUSIONS

This work shows that working with convolutional based architectures is more suitable than using transformer based models for classifying and grading AMD from retinal fundus images. Furthermore, convolutional models can be improved by means of progressive resizing strategies and ensemble methods.

Real-World Performance of a Self-Operated Home Monitoring System for Early Detection of Neovascular Age-Related Macular Degeneration

The real-world performance of a home telemonitoring strategy (ForeseeHome AMD Monitoring System^®, Notal Vision, Inc.,Manassas VA, USA) was evaluated and compared to the device arm of the AREDS2-HOME study among patients with intermediate AMD (iAMD) who converted to neovascular AMD (nAMD). All patients with confirmed conversion to nAMD who used the home monitoring system from 10/2009 through 9/2018 were identified by Notal Vision Diagnostic Clinic’s medical records. Selected outcome variables were evaluated, including visual acuity (VA) at baseline and at conversion, and change in visual acuity (VA) from baseline to time of conversion. In total, 8991 patients performed 3,200,999 tests at a frequency of 5.6 ± 3.2 times/week. The 306 eyes that converted from iAMD to nAMD over the study period (a 2.7% annual rate) were included in the analyses. There was a median (interquartile range) change of −3.0 (0.0–(−10.0)) letters among converted eyes, 81% [95% confidence interval (72–88%)] maintained a VA ≥ 20/40 at the time of conversion, while 69% of the conversion detections were triggered by system alerts. The real-world performance of an at-home testing strategy was similar to that reported for the device arm of the AREDS2-HOME study. The home telemonitoring system can markedly increase early detection of conversion to nAMD.