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Prevalence and predictors of myopic macular degeneration among Asian adults: pooled analysis from the Asian Eye Epidemiology Consortium

医学 黄斑变性 流行病学 验光服务 眼科 眼病 病理
作者
Yee Ling Wong,Xiangjia Zhu,Yih‐Chung Tham,Jason C. Yam,Keke Zhang,Charumathi Sabanayagam,Carla Lança,Xiu Juan Zhang,So Young Han,Wenwen He,Pradeep Susvar,Mihir Trivedi,Nan Yuan,Sarang Lambat,Rajiv Raman,Su Jeong Song,Ya Xing Wang,Mukharram M. Bikbov,Vinay Nangia,Li Jia Chen
出处
期刊:British Journal of Ophthalmology [BMJ]
卷期号:105 (8): 1140-1148 被引量:30
标识
DOI:10.1136/bjophthalmol-2020-316648
摘要

Aims To determine the prevalence and predictors of myopic macular degeneration (MMD) in a consortium of Asian studies. Methods Individual-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. Results The 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). Conclusion In 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.
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