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- Publisher Website: 10.1136/bjophthalmol-2020-316648
- Scopus: eid_2-s2.0-85090849945
- PMID: 32878826
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Article: Prevalence and predictors of myopic macular degeneration among Asian adults: Pooled analysis from the Asian Eye Epidemiology Consortium
Title | Prevalence and predictors of myopic macular degeneration among Asian adults: Pooled analysis from the Asian Eye Epidemiology Consortium |
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Authors | Wong, Yee LingZhu, XiangjiaTham, Yih ChungYam, Jason C.S.Zhang, KekeSabanayagam, CharumathiLanca, CarlaZhang, XiujuanHan, So YoungHe, WenwenSusvar, PradeepTrivedi, MihirYuan, NanLambat, SarangRaman, RajivSong, Su JeongWang, Ya XingBikbov, Mukharram M.Nangia, VinayChen, Li JiaWong, Tien YinLamoureux, Ecosse LucPang, Chi PuiCheng, Ching YuLu, YiJonas, Jost B.Saw, Seang Mei |
Keywords | degeneration Epidemiology macula public health |
Issue Date | 2021 |
Citation | British Journal of Ophthalmology, 2021, v. 105, n. 8, p. 1140-1148 How to Cite? |
Abstract | 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 á € 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. |
Persistent Identifier | http://hdl.handle.net/10722/345011 |
ISSN | 2023 Impact Factor: 3.7 2023 SCImago Journal Rankings: 1.862 |
DC Field | Value | Language |
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dc.contributor.author | Wong, Yee Ling | - |
dc.contributor.author | Zhu, Xiangjia | - |
dc.contributor.author | Tham, Yih Chung | - |
dc.contributor.author | Yam, Jason C.S. | - |
dc.contributor.author | Zhang, Keke | - |
dc.contributor.author | Sabanayagam, Charumathi | - |
dc.contributor.author | Lanca, Carla | - |
dc.contributor.author | Zhang, Xiujuan | - |
dc.contributor.author | Han, So Young | - |
dc.contributor.author | He, Wenwen | - |
dc.contributor.author | Susvar, Pradeep | - |
dc.contributor.author | Trivedi, Mihir | - |
dc.contributor.author | Yuan, Nan | - |
dc.contributor.author | Lambat, Sarang | - |
dc.contributor.author | Raman, Rajiv | - |
dc.contributor.author | Song, Su Jeong | - |
dc.contributor.author | Wang, Ya Xing | - |
dc.contributor.author | Bikbov, Mukharram M. | - |
dc.contributor.author | Nangia, Vinay | - |
dc.contributor.author | Chen, Li Jia | - |
dc.contributor.author | Wong, Tien Yin | - |
dc.contributor.author | Lamoureux, Ecosse Luc | - |
dc.contributor.author | Pang, Chi Pui | - |
dc.contributor.author | Cheng, Ching Yu | - |
dc.contributor.author | Lu, Yi | - |
dc.contributor.author | Jonas, Jost B. | - |
dc.contributor.author | Saw, Seang Mei | - |
dc.date.accessioned | 2024-08-15T09:24:39Z | - |
dc.date.available | 2024-08-15T09:24:39Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | British Journal of Ophthalmology, 2021, v. 105, n. 8, p. 1140-1148 | - |
dc.identifier.issn | 0007-1161 | - |
dc.identifier.uri | http://hdl.handle.net/10722/345011 | - |
dc.description.abstract | 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 á € 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. | - |
dc.language | eng | - |
dc.relation.ispartof | British Journal of Ophthalmology | - |
dc.subject | degeneration | - |
dc.subject | Epidemiology | - |
dc.subject | macula | - |
dc.subject | public health | - |
dc.title | Prevalence and predictors of myopic macular degeneration among Asian adults: Pooled analysis from the Asian Eye Epidemiology Consortium | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1136/bjophthalmol-2020-316648 | - |
dc.identifier.pmid | 32878826 | - |
dc.identifier.scopus | eid_2-s2.0-85090849945 | - |
dc.identifier.volume | 105 | - |
dc.identifier.issue | 8 | - |
dc.identifier.spage | 1140 | - |
dc.identifier.epage | 1148 | - |
dc.identifier.eissn | 1468-2079 | - |