医学
糖尿病性视网膜病变
眼底摄影
眼底(子宫)
眼科
检眼镜
糖尿病
眼底照相机
验光服务
视网膜
视网膜病变
金标准(测试)
视力
视网膜
内科学
荧光血管造影
内分泌学
光学
物理
作者
Ahmed Mohamud Yusuf,Rebecca Claire Lusobya,John Mukisa,Charles Batte,Damalie Nakanjako,Otiti Juliet-Sengeri
出处
期刊:PLOS ONE
[Public Library of Science]
日期:2022-09-06
卷期号:17 (9): e0273633-e0273633
被引量:3
标识
DOI:10.1371/journal.pone.0273633
摘要
Introduction Diabetic retinopathy (DR) is one of the major complications of diabetes mellitus and is a significant cause of blindness worldwide. In Uganda, the prevalence of diabetes is approximately 2.7% of the urban population and 1% in rural areas. Many diabetics cannot access an eye exam due to the lack of less costly and user-friendly equipment that primary eye workers can use. Smartphone-based fundus photography allows for a cheap and mobile fundus examination. The study aimed to determine the sensitivity and specificity of the Portable Eye Examination Kit (PEEK) retina compared to a standard ophthalmic fundus camera (Zeiss Visucam 200) for the diagnosis of DR. Methods From January-March 2020, 286 people with diabetes (type 1 & 2) patients were seen at Kiruddu National referral hospital diabetes clinic. All participants had funduscopy with PEEK retina and the standard ophthalmic fundus camera following ophthalmic examination and pupillary dilation. The PEEK retina’s sensitivity, specificity and reliability were determined using an ophthalmic fundus camera as the gold standard. Results The participants’ mean age was 51 with a standard deviation of ±11years, 213 (74.5%) were females, and the majority (93.4%) had Type 2 diabetes. The overall Sensitivity of PEEK retina for DR was 84% (95% CI 70.9–83.5), while the specificity was 79.9% (95% CI 76–83.5) with a positive predictive value (PPV) of 30.9% (95% CI 23.2–39.4) and a negative predictive value (NPV) of 97.9% (95% CI 95.9–99.1). Conclusions PEEK retina has high sensitivity and specificity, making it suitable for screening and diagnostic purposes. Therefore, we recommend the integration of the PEEK retina in the screening and diagnosis of DR in resource-limited settings.
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