Ophthalmology. Retina · 2025
Risk Factors for 15-Letter Visual Acuity Loss from Geographic Atrophy Progression over 1 Year in the Age-Related Eye Disease Study 2.
СтатьяМногоцентровое исследованиеНазвание и аннотация: Перевод пока не подготовлен
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Vance Emily, von der Emde Leon, Mukherjee Souvick, Hou Jintong, Domalpally Amitha, Chew Emily Y, Chakravarthy Usha, Keenan Tiarnán D L, AREDS2 Research Group
Аннотация
PURPOSE: A change of ≥15 letters in best-corrected visual acuity (BCVA) is typically defined as clinically significant by regulatory agencies, but risk factors for rapid 15-letter loss in geographic atrophy (GA) are poorly understood. The purpose was to identify independent risk factors for 15-letter loss within 1 year in eyes with GA.
DESIGN: Post hoc analysis of the Age-Related Eye Disease Study 2.
PARTICIPANTS: Nine hundred sixty-one eyes (743 participants).
METHODS: Annual fundus photographs were graded for GA presence/morphology. Best-corrected visual acuity was measured using the ETDRS chart. Multivariable analyses comprised logistic regression for 15-letter loss within 1 year, based on (1) baseline variables (demographic, BCVA, and GA morphology variables, defined at first time point with GA), (2) genetic variables (CFH Y402H and ARMS2), and (3) GA enlargement rate (from first time point with GA).
MAIN OUTCOME MEASURES: Fifteen-letter loss in BCVA within 1 year.
RESULTS: During 1-year follow-up, BCVA declined by ≥15 letters in 53 eyes (5.5%). In a model with baseline variables, the risk factors were as follows: age (adjusted odds ratio [aOR], 1.08; 95% confidence interval [CI], 1.04-1.14; P = 0.0005), closer GA proximity to fovea (aOR, 0.90 per 0.1 mm increase; 95% CI, 0.84-0.97; P = 0.005), current smoking (aOR, 3.85; 95% CI, 1.49-9.97; P = 0.005), and BCVA <20/40 (aOR, 2.09; 95% CI, 1.17-3.74; P = 0.013). In a model with baseline variables and genotype, CFH was a risk factor (aOR, 4.63; 95% CI, 1.27-16.9; P = 0.020; 2 vs. 0 risk alleles), whereas ARMS2 was not. In a model with baseline variables and GA enlargement rate, faster enlargement was a risk factor (aOR, 1.12 per 0.1 mm/year increase; 95% CI, 1.07-1.18; P < 0.0001).
CONCLUSIONS: We identified multiple independent risk factors for rapid, clinically significant BCVA loss in GA. We also developed clinically relevant models for different scenarios. These can guide the design and interpretation of interventional trials aimed at decreasing vision loss in GA and provide prognostic information in clinical practice. The risk factors for BCVA loss and faster GA enlargement overlap only partially, so that trial inclusion criteria, power calculations, and covariate adjustment should differ according to the choice of a functional versus structural measure as the primary end point.
FINANCIAL DISCLOSURE(S): Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.
DESIGN: Post hoc analysis of the Age-Related Eye Disease Study 2.
PARTICIPANTS: Nine hundred sixty-one eyes (743 participants).
METHODS: Annual fundus photographs were graded for GA presence/morphology. Best-corrected visual acuity was measured using the ETDRS chart. Multivariable analyses comprised logistic regression for 15-letter loss within 1 year, based on (1) baseline variables (demographic, BCVA, and GA morphology variables, defined at first time point with GA), (2) genetic variables (CFH Y402H and ARMS2), and (3) GA enlargement rate (from first time point with GA).
MAIN OUTCOME MEASURES: Fifteen-letter loss in BCVA within 1 year.
RESULTS: During 1-year follow-up, BCVA declined by ≥15 letters in 53 eyes (5.5%). In a model with baseline variables, the risk factors were as follows: age (adjusted odds ratio [aOR], 1.08; 95% confidence interval [CI], 1.04-1.14; P = 0.0005), closer GA proximity to fovea (aOR, 0.90 per 0.1 mm increase; 95% CI, 0.84-0.97; P = 0.005), current smoking (aOR, 3.85; 95% CI, 1.49-9.97; P = 0.005), and BCVA <20/40 (aOR, 2.09; 95% CI, 1.17-3.74; P = 0.013). In a model with baseline variables and genotype, CFH was a risk factor (aOR, 4.63; 95% CI, 1.27-16.9; P = 0.020; 2 vs. 0 risk alleles), whereas ARMS2 was not. In a model with baseline variables and GA enlargement rate, faster enlargement was a risk factor (aOR, 1.12 per 0.1 mm/year increase; 95% CI, 1.07-1.18; P < 0.0001).
CONCLUSIONS: We identified multiple independent risk factors for rapid, clinically significant BCVA loss in GA. We also developed clinically relevant models for different scenarios. These can guide the design and interpretation of interventional trials aimed at decreasing vision loss in GA and provide prognostic information in clinical practice. The risk factors for BCVA loss and faster GA enlargement overlap only partially, so that trial inclusion criteria, power calculations, and covariate adjustment should differ according to the choice of a functional versus structural measure as the primary end point.
FINANCIAL DISCLOSURE(S): Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.