Geographic atrophy phenotype identification by cluster analysis. Issue 3 (20th July 2017)

• Record Type: Journal Article
• Authors: Monés, Jordi; Biarnés, Marc
• Is Part Of: British journal of ophthalmology. Volume 102:Issue 3(2018)
• Page Start: 388
• Page End: 392
• Publication Date: 2017-07-20
• Subjects: age-related macular degeneration -- geographic atrophy -- soft drusen -- reticular pseudodrusen -- cluster analysis; Ophthalmology -- Periodicals; 617.7
• DOI: 10.1136/bjophthalmol-2017-310268
• Languages: English
• ISSNs: 0007-1161

Abstract

Abstract : Background/aims: To identify ocular phenotypes in patients with geographic atrophy secondary to age-related macular degeneration (GA) using a data-driven cluster analysis. Methods: This was a retrospective analysis of data from a prospective, natural history study of patients with GA who were followed for ≥6 months. Cluster analysis was used to identify subgroups within the population based on the presence of several phenotypic features: soft drusen, reticular pseudodrusen (RPD), primary foveal atrophy, increased fundus autofluorescence (FAF), greyish FAF appearance and subfoveal choroidal thickness (SFCT). A comparison of features between the subgroups was conducted, and a qualitative description of the new phenotypes was proposed. The atrophy growth rate between phenotypes was then compared. Results: Data were analysed from 77 eyes of 77 patients with GA. Cluster analysis identified three groups: phenotype 1 was characterised by high soft drusen load, foveal atrophy and slow growth; phenotype 3 showed high RPD load, extrafoveal and greyish FAF appearance and thin SFCT; the characteristics of phenotype 2 were midway between phenotypes 1 and 3. Phenotypes differed in all measured features (p≤0.013), with decreases in the presence of soft drusen, foveal atrophy and SFCT seen from phenotypes 1 to 3 and corresponding increases in high RPD load, high FAF and greyish FAF appearance. Atrophy growth rate differed between phenotypes 1, 2 and 3 (0.63, 1.91 and 1.73 mm 2 /year, respectively, p=0.0005). Conclusion: Cluster analysis identified three distinct phenotypes in GA. One of them showed a particularly slow growth pattern.