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Abstract Introduction Anti-vascular endothelial growth factor (VEGF) is generally given using pro re nata or “treat-and-extend” (T&E) regimens for neovascular age-related macular degeneration (nAMD). Randomized clinical trials have reported that T&E is superior to Pro re nata (PRN), but results from clinical trials may not always be replicated in clinical practice. Real-world data comparing T&E and PRN regimens for nAMD are limited. The objective of this work was to report 24-month outcomes of PRN versus T&E regimens for ranibizumab and aflibercept to treat nAMD in routine clinical practice. Methods We conducted a retrospective analysis of data from a prospectively designed observational outcomes registry, the Fight Retinal Blindness! Project (FRB). Treatment-naïve eyes starting nAMD treatment with at least three injections using a T&E or PRN regimen were tracked by using the FRB. The primary outcome was the mean change in visual acuity (VA) measured by the number of letters read on a logarithm of the minimum angle of resolution chart at 2 years versus baseline. The secondary outcome was the number of injections at 2 years. Results From January 1, 2015 to January 31, 2019, 3313 eyes from 2948 patients with nAMD were included: 1243 eyes from 1065 patients were classified as PRN and 2070 eyes from 1935 patients started a T&E regimen. At 24 months, patients on the T&E regimen experienced significantly greater mean (95% confidence interval) improvement in VA than those on PRN (+ 4.2 [3.1, 5.2] vs. + 1.3 [0.1, 2.6] letters; p

Abstract Age-related macular degeneration (AMD) is a leading cause of severe vision loss worldwide, with a global prevalence that is predicted to substantially increase. Identifying early biomarkers indicative of progression risk will improve our ability to assess which patients are at greatest risk of progressing from intermediate AMD (iAMD) to vision-threatening late-stage AMD. This is key to ensuring individualized management and timely intervention before substantial structural damage. Some structural biomarkers suggestive of AMD progression risk are well established, such as changes seen on color fundus photography and more recently optical coherence tomography (drusen volume, pigmentary abnormalities). Emerging biomarkers identified through multimodal imaging, including reticular pseudodrusen, hyperreflective foci, and drusen sub-phenotypes, are being intensively explored as risk factors for progression towards late-stage disease. Other structural biomarkers merit further research, such as ellipsoid zone reflectivity and choriocapillaris flow features. The measures of visual function that best detect change in iAMD and correlate with risk of progression remain under intense investigation, with tests such as dark adaptometry and cone-specific contrast tests being explored. Evidence on blood and plasma markers is preliminary, but there are indications that changes in levels of C-reactive protein and high-density lipoprotein cholesterol may be used to stratify patients and predict risk. With further research, some of these biomarkers may be used to monitor progression. Emerging artificial intelligence methods may help evaluate and validate these biomarkers; however, until we have large and well-curated longitudinal data sets, using artificial intelligence effectively to inform clinical trial design and detect outcomes will remain challenging. This is an exciting area of intense research, and further work is needed to establish the most promising biomarkers for disease progression and their use in clinical care and future trials. Ultimately, a multimodal approach may yield the most accurate means of monitoring and predicting future progression towards vision-threatening, late-stage AMD.