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糖尿病视网膜病变筛查:新视角与新挑战。

Screening for diabetic retinopathy: new perspectives and challenges.

机构信息

Eye Unit, University Hospital Maggiore della Carità, Novara, Italy.

Department of Ophthalmology, Gloucestershire Hospitals NHS Foundation Trust, Cheltenham, UK.

出版信息

Lancet Diabetes Endocrinol. 2020 Apr;8(4):337-347. doi: 10.1016/S2213-8587(19)30411-5. Epub 2020 Feb 27.

Abstract

Although the prevalence of all stages of diabetic retinopathy has been declining since 1980 in populations with improved diabetes control, the crude prevalence of visual impairment and blindness caused by diabetic retinopathy worldwide increased between 1990 and 2015, largely because of the increasing prevalence of type 2 diabetes, particularly in low-income and middle-income countries. Screening for diabetic retinopathy is essential to detect referable cases that need timely full ophthalmic examination and treatment to avoid permanent visual loss. In the past few years, personalised screening intervals that take into account several risk factors have been proposed, with good cost-effectiveness ratios. However, resources for nationwide screening programmes are scarce in many countries. New technologies, such as scanning confocal ophthalmology with ultrawide field imaging and handheld mobile devices, teleophthalmology for remote grading, and artificial intelligence for automated detection and classification of diabetic retinopathy, are changing screening strategies and improving cost-effectiveness. Additionally, emerging evidence suggests that retinal imaging could be useful for identifying individuals at risk of cardiovascular disease or cognitive impairment, which could expand the role of diabetic retinopathy screening beyond the prevention of sight-threatening disease.

摘要

虽然自 1980 年以来,随着糖尿病控制水平的提高,各阶段糖尿病视网膜病变的患病率一直在下降,但 1990 年至 2015 年间,全球因糖尿病视网膜病变导致的视力损害和失明的粗患病率却有所上升,这主要是由于 2 型糖尿病的患病率不断上升,尤其是在低收入和中等收入国家。筛查糖尿病视网膜病变对于发现需要及时进行全面眼科检查和治疗的可转诊病例至关重要,以避免永久性视力丧失。在过去几年中,人们提出了一些个性化的筛查间隔,这些间隔考虑了多种风险因素,具有较好的成本效益比。然而,许多国家的全国性筛查计划资源都很匮乏。一些新技术,如超广角成像扫描共聚焦眼科检查和手持式移动设备、远程分级的远程眼科技术,以及用于自动检测和分类糖尿病视网膜病变的人工智能,正在改变筛查策略并提高成本效益。此外,新出现的证据表明,视网膜成像可能有助于识别心血管疾病或认知障碍风险增加的个体,这可能会扩大糖尿病视网膜病变筛查的作用范围,超越预防威胁视力的疾病。

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