Systemic medications and cortical cataract: the Singapore Epidemiology of Eye Diseases Study

Author:

Dai Wei,Tham Yih Chung,Chee Miao Li,Majithia Shivani,Poh Stanley,Tan Ava Grace,Tao Yijin,Wang Jie Jin,Cheng Ching-YuORCID

Abstract

Background/aimsTo evaluate the association between systemic medications and cortical cataract prevalence in an Asian population.MethodsThe Singapore Epidemiology of Eye Diseases Study recruited 10 033 Chinese, Malay and Indian residents aged 40+ years living in Singapore. Information on medication use was collected at interview using questionnaires. The presence and severity of cortical cataract were assessed from lens photographs using the modified Wisconsin Cataract Grading System. Associations between medications and the presence of cortical cataract were assessed using logistic regression. Associations between medications and greater severity of cortical cataract (none, minimal, early and late) were assessed using ordinal logistic regression.ResultsA total of 8965 participants were included, the mean age was 57.6 (SD=9.8) years, and 4555 (50.8%) were women. After adjusting for age, gender, ethnicity, body mass index, smoking status, socioeconomic status, hypertension, hyperlipidaemia, diabetes, duration of diabetes and cardiovascular disease, ACE inhibitors (OR=1.27; 95% CI 1.05 to 1.55), fibrates (OR=1.57; 95% CI 1.05 to 2.35), alpha-glucosidase inhibitors (AGIs) (OR=1.85; 95% CI 1.13 to 3.02) and insulin (OR=1.80; 95% CI 1.11 to 2.93) were significantly associated with the presence of cortical cataract. Further adjusting for concurrent medication use did not alter these associations. Consistently, the four medications were also associated with a greater severity level of cortical cataract.ConclusionACE inhibitors, fibrates and AGIs were associated with increased prevalence of cortical cataract in this Asian population, independent of the presence of hypertension, hyperlipidaemia and diabetes, respectively. Whether they contribute to the risk of cortical cataract needs confirmation in longitudinal studies.

Funder

Agency for Science, Technology and Research

National Medical Research Council

Publisher

BMJ

Subject

Cellular and Molecular Neuroscience,Sensory Systems,Ophthalmology

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Cataract Detection on Ocular Fundus Images Using Machine Learning;Emerging Technologies in Data Mining and Information Security;2022-09-16

2. Artificial Intelligence for Cataract Detection and Management;Asia-Pacific Journal of Ophthalmology;2020-03

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