학술논문
Prevalence and predictors of myopic macular degeneration among Asian adults: pooled analysis from the Asian Eye Epidemiology Consortium
Document Type
Article
Author
Wong, Yee Ling; Zhu, Xiangjia; Tham, Yih Chung; Yam, Jason C S; Zhang, Keke; Sabanayagam, Charumathi; Lanca, Carla; Zhang, Xiujuan; Han, So Young; He, Wenwen; Susvar, Pradeep; Trivedi, Mihir; Yuan, Nan; Lambat, Sarang; Raman, Rajiv; Song, Su Jeong; Wang, Ya Xing; Bikbov, Mukharram M; Nangia, Vinay; Chen, Li Jia; Wong, Tien Yin; Lamoureux, Ecosse Luc; Pang, Chi-Pui; Cheng, Ching Yu; Lu, Yi; Jonas, Jost B; Saw, Seang Mei
Source
British Journal of Ophthalmology; 2021, Vol. 105 Issue: 8 p1140-1148, 9p
Subject
Language
ISSN
00071161; 14682079
Abstract
AimsTo determine the prevalence and predictors of myopic macular degeneration (MMD) in a consortium of Asian studies.MethodsIndividual-level data from 19 885 participants from four population-based studies, and 1379 highly myopic participants (defined as axial length (AL) >26.0 mm) from three clinic-based/school-based studies of the Asian Eye Epidemiology Consortium were pooled. MMD was graded from fundus photographs following the meta-analysis for pathologic myopia classification and defined as the presence of diffuse choroidal atrophy, patchy chorioretinal atrophy, macular atrophy, with or without ‘plus’ lesion (lacquer crack, choroidal neovascularisation or Fuchs’ spot). Area under the curve (AUC) evaluation for predictors was performed for the population-based studies.ResultsThe prevalence of MMD was 0.4%, 0.5%, 1.5% and 5.2% among Asians in rural India, Beijing, Russia and Singapore, respectively. In the population-based studies, older age (per year; OR=1.13), female (OR=2.0), spherical equivalent (SE; per negative diopter; OR=1.7), longer AL (per mm; OR=3.1) and lower education (OR=1.9) were associated with MMD after multivariable adjustment (all p<0.001). Similarly, in the clinic-based/school-based studies, older age (OR=1.07; p<0.001), female (OR=2.1; p<0.001), longer AL (OR=2.1; p<0.001) and lower education (OR=1.7; p=0.005) were associated with MMD after multivariable adjustment. SE had the highest AUC of 0.92, followed by AL (AUC=0.87). The combination of SE, age, education and gender had a marginally higher AUC (0.94).ConclusionIn this pooled analysis of multiple Asian studies, older age, female, lower education, greater myopia severity and longer AL were risk factors of MMD, and myopic SE was the strongest single predictor of MMD.