Marc Biarnés1, Carlos G Forero2, Luis Arias3, Jordi Alonso4, Jordi Monés5. 1. Institut de la Màcula i de la Retina, Barcelona, Spain Universitat Pompeu Fabra, Barcelona, Spain. 2. Health Services Research, Institut Hospital del Mar d'Investigacions Mèdiques, Barcelona, Spain Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública, Barcelona, Spain. 3. Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Barcelona, Spain. 4. Universitat Pompeu Fabra, Barcelona, Spain. 5. Institut de la Màcula i de la Retina, Barcelona, Spain Barcelona Macula Foundation, Barcelona, Spain.
Abstract
PURPOSE: To reappraise fundus autofluorescence (FAF) patterns in patients with geographic atrophy (GA) with the aim of simplifying the existing classification and to evaluate their stability with time using a data-driven approach, latent class analysis (LCA). METHODS: One hundred seventy-one patients in the prospective, natural history study on GA (GAIN, NCT01694095) with a minimum follow-up of 12 months were screened. Five experienced observers independently evaluated FAF patterns according to the original classification, and LCA was used to determine the new, emerging categories (classes). A set of prespecified FAF features was then used to characterize each resulting class. RESULTS: Seventy-five eyes of 59 subjects with a median follow-up of 19 months were included. The optimal LCA model resulted in five classes, which showed an association with GA size, among others. The classes did not change in a given individual during the study period, but the time frame may have been too short to evaluate hypothetical transitions. CONCLUSIONS: The original description of FAF patterns, which is based exclusively on distribution of hyperautofluorescence around GA, ultimately classifies patients according to area of atrophy. These results suggest that FAF patterns are not true phenotypes and that they rather represent different stages of the disease. This may have implications regarding the role of lipofuscin on disease pathogenesis. Copyright 2014 The Association for Research in Vision and Ophthalmology, Inc.
PURPOSE: To reappraise fundus autofluorescence (FAF) patterns in patients with geographic atrophy (GA) with the aim of simplifying the existing classification and to evaluate their stability with time using a data-driven approach, latent class analysis (LCA). METHODS: One hundred seventy-one patients in the prospective, natural history study on GA (GAIN, NCT01694095) with a minimum follow-up of 12 months were screened. Five experienced observers independently evaluated FAF patterns according to the original classification, and LCA was used to determine the new, emerging categories (classes). A set of prespecified FAF features was then used to characterize each resulting class. RESULTS: Seventy-five eyes of 59 subjects with a median follow-up of 19 months were included. The optimal LCA model resulted in five classes, which showed an association with GA size, among others. The classes did not change in a given individual during the study period, but the time frame may have been too short to evaluate hypothetical transitions. CONCLUSIONS: The original description of FAF patterns, which is based exclusively on distribution of hyperautofluorescence around GA, ultimately classifies patients according to area of atrophy. These results suggest that FAF patterns are not true phenotypes and that they rather represent different stages of the disease. This may have implications regarding the role of lipofuscin on disease pathogenesis. Copyright 2014 The Association for Research in Vision and Ophthalmology, Inc.