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

Author:

Wong Yee LingORCID,Zhu Xiangjia,Tham Yih ChungORCID,Yam Jason C SORCID,Zhang Keke,Sabanayagam CharumathiORCID,Lanca CarlaORCID,Zhang Xiujuan,Han So Young,He Wenwen,Susvar Pradeep,Trivedi Mihir,Yuan Nan,Lambat Sarang,Raman RajivORCID,Song Su Jeong,Wang Ya XingORCID,Bikbov Mukharram M,Nangia Vinay,Chen Li JiaORCID,Wong Tien YinORCID,Lamoureux Ecosse Luc,Pang Chi-Pui,Cheng Ching Yu,Lu Yi,Jonas Jost BORCID,Saw Seang Mei

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.

Funder

CUHK Jockey Club Children Eye Care Programme

National Medical Research Council

Centaline Myopia Fund

Heidelberg Engineering Co., Heidelberg, Germany

Orbis, India

Om Drishti Trust, Nagpur, India

Rotary Sight Saver Netherlands

National Natural Science Foundation of China

Biomedical Research Council

Direct Grants of the Chinese University of Hong Kong

Intelligent Medical Project of Shanghai Municipal Science and Technology Commission

General Research Fund, Research Grants Council, Hong Kong

Health and Medical Research Fund, Hong Kong

Economic Development Board - Singapore

Publisher

BMJ

Subject

Cellular and Molecular Neuroscience,Sensory Systems,Ophthalmology

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