Genetics of Unilateral and Bilateral Age-Related Macular Degeneration Severity Stages

Linking Function and Structure with ReSensNet: Predicting Retinal Sensitivity from OCT using Deep Learning

PURPOSE

The currently used measures of retinal function are limited by being subjective, nonlocalized, or taxing for patients. To address these limitations, we sought to develop and evaluate a deep learning (DL) method to automatically predict the functional end point (retinal sensitivity) based on structural OCT images.

DESIGN

Retrospective, cross-sectional study.

SUBJECTS

In total, 714 volumes of 289 patients were used in this study.

METHODS

A DL algorithm was developed to automatically predict a comprehensive retinal sensitivity map from an OCT volume. Four hundred sixty-three spectral-domain OCT volumes from 174 patients and their corresponding microperimetry examinations (Nidek MP-1) were used for development and internal validation, with a total of 15 563 retinal sensitivity measurements. The patients presented with a healthy macula, early or intermediate age-related macular degeneration, choroidal neovascularization, or geographic atrophy. In addition, an external validation was performed using 251 volumes of 115 patients, comprising 3 different patient populations: those with diabetic macular edema, retinal vein occlusion, or epiretinal membrane.

MAIN OUTCOME MEASURES

We evaluated the performance of the algorithm using the mean absolute error (MAE), limits of agreement (LoA), and correlation coefficients of point-wise sensitivity (PWS) and mean sensitivity (MS).

RESULTS

The algorithm achieved an MAE of 2.34 dB and 1.30 dB, an LoA of 5.70 and 3.07, a Pearson correlation coefficient of 0.66 and 0.84, and a Spearman correlation coefficient of 0.68 and 0.83 for PWS and MS, respectively. In the external test set, the method achieved an MAE of 2.73 dB and 1.66 dB for PWS and MS, respectively.

CONCLUSIONS

The proposed approach allows the prediction of retinal function at each measured location directly based on an OCT scan, demonstrating how structural imaging can serve as a surrogate of visual function. Prospectively, the approach may help to complement retinal function measures, explore the association between image-based information and retinal functionality, improve disease progression monitoring, and provide objective surrogate measures for future clinical trials.

Revisiting the role of factor H in age-related macular degeneration: Insights from complement-mediated renal disease and rare genetic variants

Ophthalmologists are long familiar with the eye showing signs of systemic disease, but the association between age-related macular degeneration and abnormal complement activation, common to several renal disorders, has only recently been elucidated. Although complement activation products were identified in drusen almost three decades ago, it was not until the early 21st century that a single-nucleotide polymorphism in the complement factor H gene was identified as a major heritable determinant of age-related macular degeneration, galvanizing global efforts to unravel the pathogenesis of this common disease. Advances in proteomic analyses and familial aggregation studies have revealed distinctive clinical phenotypes segregated by the functional effects of common and rare genetic variants on the mature protein and its splice variant, factor H-like protein 1. The predominance of loss-of-function, N-terminal mutations implicate age-related macular degeneration as a disease of general complement dysregulation, offering several therapeutic avenues for its modulation. Here, we explore the molecular impact of these mutations/polymorphisms on the ability of variant factor H/factor H-like protein 1 to localize to polyanions, pentraxins, proinflammatory triggers, and cell surfaces across ocular and renal tissues and exert its multimodal regulatory functions and their clinical implications. Finally, we critically evaluate key therapeutic and diagnostic efforts in this rapidly evolving field.

Genetic Association of Age-Related Macular Degeneration and Polypoidal Choroidal Vasculopathy

Age-related macular degeneration (AMD) and polypoidal choroidal vasculopathy (PCV) are leading causes of irreversible blindness among the elderly population in developed countries. Although being considered as different subtypes of a same disease, neovascular AMD and PCV have differences in clinical, epidemiological, therapeutic, and genetic profiles. Both AMD and PCV are complex diseases involving multiple genetic and environmental risk factors. Different genetic strategies have been adopted to discover associated genes and variants for neovascular AMD and PCV, including genome-wide association study (GWAS), next-generation sequencing (NGS) based sequence analysis, and candidate gene analyses. So far, a number of susceptible genes have been identified for AMD and/or PCV, such as CFH, ARMS2-HTRA1, C2-CFB-SKIV2L, C3, CETP, and FGD6. Although many of these genes are shared by AMD and PCV, some showed difference between them, such as ARMS2-HTRA1 and FGD6. Also, some of the genes showed ethnic diversities, such as the CFH p.Tyr402His variant. Further larger-scale genomic studies should be warranted to identify more susceptibility genes for AMD and, in particular, PCV among different populations, and differentiate the genetic architectures between neovascular AMD and PCV.

Genetic risk score has added value over initial clinical grading stage in predicting disease progression in age-related macular degeneration

Several prediction models for progression of age-related macular degeneration (AMD) have been developed, but the added value of using genetic information in those models in addition to clinical characteristics is ambiguous. In this prospective cohort study, we explored the added value of genetics using a genetic risk score (GRS) based on 52 AMD-associated variants, in addition to the clinical severity grading at baseline as quantified by validated drusen detection software, to predict disease progression in 177 AMD patients after 6.5 years follow-up. The GRS was strongly associated with the drusen coverage at baseline (P < 0.001) and both the GRS and drusen coverage were associated with disease progression. When the GRS was added as predictor in addition to the drusen coverage, R² increased from 0.46 to 0.56. This improvement by the GRS was predominantly seen in patients with a drusen coverage <15%. In patients with a larger drusen coverage, the GRS had less added value to predict progression. Thus, genetic information has added value over clinical characteristics in predicting disease progression in AMD, but only in patients with a less severe disease stage. Patients with a high GRS should be made aware of their risk and could be selected for clinical trials for arresting progression.

Characterization of Patients With Geographic Atrophy in Routine Clinical Practice

BACKGROUND AND OBJECTIVE

Geographic atrophy (GA) affects millions of patients with age-related macular degeneration (AMD) worldwide, leading to significant, irreversible visual impairment. This study aims to characterize the visual impairment of patients with GA in a routine clinical practice.

PATIENTS AND METHODS

This single-center, cross-sectional study used a novel natural language processing to select 1,045 GA cases utilizing the macula examination records from 19,359 patients with AMD.

RESULTS

Patients were classified based on the diagnosis of the fellow-eye as follow: 502 in group 1 (GA:GA), 403 in group 2 (GA : choroidal neovascularization), and 234 in group 3 (GA : early / intermediate AMD). Best-corrected visual acuity (BCVA) in the affected eye was 50.3 (± 22.1) letters in group 1, 52.5 (± 21.3) letters in group 2, and 48.5 (± 23.6) letters in group 3 (P < .05). Visual impairment (ineligibility for an unrestricted driver license) was present in 70.5% of group 1, 59.7% of group 2, and 39.6% of group 3. Legal blindness (BCVA < 20 letters in the best-seeing eye) was seen in 2.2% of group 1, 3% of group 2, and 0.8% of group 3.

CONCLUSION

Differences in visual impairment between subgroups of patients with GA can be seen in routine clinical practice. [Ophthalmic Surg Lasers Imaging Retina. 2019;50:93-98.].

Incidence and risk factors for neovascular age-related macular degeneration in the fellow eye

PURPOSE

The epidemiology, risk factors, and the effect of anti-VEGF treatment on neovascular age-related macular degeneration (nAMD) have primarily been studied in the first eye developing the disease. The understanding of pathophysiology and planning of follow-up examinations can be improved by knowledge of incidence and risk factors for development of the disease in the fellow eye.

METHODS

In a prospective observational cohort study, epidemiological and clinical risk factors for the development of nAMD in the fellow eye among 2516 patients consecutively diagnosed with the disease from a population of 0.9 million citizens during a period of more than 10 years were studied.

RESULTS

nAMD had been diagnosed in the fellow eye of 541 (21.5%) of the patients. The incidence of fellow-eye involvement increased from approximately 5% in patients initially presenting with bilateral disease to approximately 28% more than 6 years after the diagnosis in the first eye. Visual acuity (VA) was higher and central retinal thickness (CRT) was lower in fellow eyes with nAMD diagnosed later than the first eye. Male gender, increasing leakage area, and peripapillary location of the subretinal neovascular membrane in the first eye reduced the risk of developing disease in the fellow eye.

CONCLUSIONS

The planning of follow-up examinations of patients diagnosed with nAMD in one eye should consider that the risk of fellow-eye involvement is higher within the first 6 years, in women, and when the leakage area in the first eye is small and not located peripapillary.