Literature DB >> 26043441

Prevalence, Risk Factors, and Visual Features of Undiagnosed Glaucoma: The Singapore Epidemiology of Eye Diseases Study.

Jacqueline Chua1, Mani Baskaran2, Peng Guan Ong1, Yingfeng Zheng1, Tien Yin Wong2, Tin Aung3, Ching-Yu Cheng2.   

Abstract

IMPORTANCE: Glaucoma can remain asymptomatic until a severe stage, resulting in a high prevalence of undiagnosed glaucoma worldwide. Asia accounts for 60% of the world's total glaucoma cases. To our knowledge, no epidemiological studies have assessed ethnic differences in undiagnosed glaucoma among various Asian subgroups.
OBJECTIVE: To determine the prevalence of, risk factors for, and visual features of undiagnosed primary glaucoma in a multiethnic Asian population. DESIGN, SETTING, AND PARTICIPANTS: The Singapore Epidemiology of Eye Diseases Study is a population-based trial in which 3353 Chinese (2009-2011), 3280 Malays (2004-2006), and 3400 Indians (2007-2009) aged 40 to 80 years were invited for an eye examination, including visual field assessment, to establish glaucoma diagnosis. Participants with undiagnosed glaucoma (ie, answering no to whether they previously had been told by a physician that they had glaucoma, not using glaucoma medication, or not having undergone glaucoma surgery) were identified. MAIN OUTCOMES AND MEASURES: Prevalence of, risk factors for, and visual features of undiagnosed glaucoma.
RESULTS: Of 272 participants with primary glaucoma, 196 (72.1%) were previously undiagnosed. The overall prevalence of undiagnosed primary glaucoma was highest among Malays (2.65%; 95% CI, 2.10%-3.31%), followed by Chinese (1.51%; 95% CI, 1.13%-2.01%) and Indians (0.97%; 95% CI, 0.64%-1.43%). In multivariable analysis, variables associated with higher risk of undiagnosed glaucoma were younger age (odds ratio [OR], 1.04; 95% CI, 1.00-1.09; P = .04), Malay ethnicity (OR, 3.65; 95% CI, 1.31-10.13; P = .01), presence of primary open-angle glaucoma (OR, 3.82; 95% CI, 1.60-9.14; P = .003), absence of yearly eyeglass checks (OR, 9.29; 95% CI, 3.43-25.21; P < .001), and lack of cataract surgery (OR, 4.19; 95% CI, 1.68-10.48; P < .001). No patients were blind in both eyes. A mean (SD) of 4.1% (2.8%) (n = 8) of the newly diagnosed patients were blind in 1 eye, and a mean (SD) of 56.0% (7.2%) (n = 102) had noteworthy visual field damage (mean deviation worse than -6 dB) in at least 1 eye. CONCLUSIONS AND RELEVANCE: The prevalence of undiagnosed primary glaucoma varied among ethnic populations in whom a mean (SD) of 49.0% (14.0%) (n = 24) of affected individuals 50 to 59 years old already had clinically significant visual field loss. Such data may assist policymakers in implementing cost-effective public health interventions to reduce the effect of blindness associated with undiagnosed glaucoma.

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Year:  2015        PMID: 26043441     DOI: 10.1001/jamaophthalmol.2015.1478

Source DB:  PubMed          Journal:  JAMA Ophthalmol        ISSN: 2168-6165            Impact factor:   7.389


  16 in total

1.  Crowdsourcing to Evaluate Fundus Photographs for the Presence of Glaucoma.

Authors:  Xueyang Wang; Lucy I Mudie; Mani Baskaran; Ching-Yu Cheng; Wallace L Alward; David S Friedman; Christopher J Brady
Journal:  J Glaucoma       Date:  2017-06       Impact factor: 2.503

2.  Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With Diabetes.

Authors:  Daniel Shu Wei Ting; Carol Yim-Lui Cheung; Gilbert Lim; Gavin Siew Wei Tan; Nguyen D Quang; Alfred Gan; Haslina Hamzah; Renata Garcia-Franco; Ian Yew San Yeo; Shu Yen Lee; Edmund Yick Mun Wong; Charumathi Sabanayagam; Mani Baskaran; Farah Ibrahim; Ngiap Chuan Tan; Eric A Finkelstein; Ecosse L Lamoureux; Ian Y Wong; Neil M Bressler; Sobha Sivaprasad; Rohit Varma; Jost B Jonas; Ming Guang He; Ching-Yu Cheng; Gemmy Chui Ming Cheung; Tin Aung; Wynne Hsu; Mong Li Lee; Tien Yin Wong
Journal:  JAMA       Date:  2017-12-12       Impact factor: 56.272

3.  A Case for the Use of Artificial Intelligence in Glaucoma Assessment.

Authors:  Joel S Schuman; Maria De Los Angeles Ramos Cadena; Rebecca McGee; Lama A Al-Aswad; Felipe A Medeiros
Journal:  Ophthalmol Glaucoma       Date:  2021-12-22

Review 4.  Oxidative and Anti-Oxidative Stress Markers in Chronic Glaucoma: A Systematic Review and Meta-Analysis.

Authors:  Cédric Benoist d'Azy; Bruno Pereira; Frédéric Chiambaretta; Frédéric Dutheil
Journal:  PLoS One       Date:  2016-12-01       Impact factor: 3.240

5.  Prevalence, Risk Factors, and Impact of Undiagnosed Visually Significant Cataract: The Singapore Epidemiology of Eye Diseases Study.

Authors:  Jacqueline Chua; Blanche Lim; Eva K Fenwick; Alfred Tau Liang Gan; Ava Grace Tan; Ecosse Lamoureux; Paul Mitchell; Jie Jin Wang; Tien Yin Wong; Ching-Yu Cheng
Journal:  PLoS One       Date:  2017-01-27       Impact factor: 3.240

6.  Performance of Deep Learning Architectures and Transfer Learning for Detecting Glaucomatous Optic Neuropathy in Fundus Photographs.

Authors:  Mark Christopher; Akram Belghith; Christopher Bowd; James A Proudfoot; Michael H Goldbaum; Robert N Weinreb; Christopher A Girkin; Jeffrey M Liebmann; Linda M Zangwill
Journal:  Sci Rep       Date:  2018-11-12       Impact factor: 4.379

7.  Validity and Reliability of the Glaucoma Knowledge Level Questionnaire.

Authors:  Zeynep Demirtaş; Gökçe Dağtekin; Muhammed Fatih Önsüz; Aziz Soysal; Nilgün Yıldırım; Selma Metintaş
Journal:  Turk J Ophthalmol       Date:  2018-06-28

Review 8.  Deep learning in glaucoma with optical coherence tomography: a review.

Authors:  An Ran Ran; Clement C Tham; Poemen P Chan; Ching-Yu Cheng; Yih-Chung Tham; Tyler Hyungtaek Rim; Carol Y Cheung
Journal:  Eye (Lond)       Date:  2020-10-07       Impact factor: 3.775

9.  The role of corneal hysteresis during the evaluation of patients with possible normal-tension glaucoma.

Authors:  Ming Chen; Laura Kueny; Arthur L Schwartz
Journal:  Clin Ophthalmol       Date:  2018-03-21

10.  A deep learning model for the detection of both advanced and early glaucoma using fundus photography.

Authors:  Jin Mo Ahn; Sangsoo Kim; Kwang-Sung Ahn; Sung-Hoon Cho; Kwan Bok Lee; Ungsoo Samuel Kim
Journal:  PLoS One       Date:  2018-11-27       Impact factor: 3.240

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