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在农村中国,经过培训的乡村眼科医生与非医学影像分级员在糖尿病视网膜病变诊断中的准确性比较。

Accuracy of trained rural ophthalmologists versus non-medical image graders in the diagnosis of diabetic retinopathy in rural China.

机构信息

State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China.

Centre for Public Health, Queen's University Belfast, Belfast, UK.

出版信息

Br J Ophthalmol. 2018 Nov;102(11):1471-1476. doi: 10.1136/bjophthalmol-2018-312440. Epub 2018 Jul 4.

Abstract

BACKGROUND/AIMS: To determine the diagnostic accuracy of trained rural ophthalmologists and non-medical image graders in the assessment of diabetic retinopathy (DR) in rural China.

METHODS

Consecutive patients with diabetes mellitus were examined from January 2014 to December 2015 at 10 county-level facilities in rural Southern China. Trained rural ophthalmologists performed a complete eye examination, recording diagnoses using the UK National Diabetic Eye Screening Programme (NDESP) classification system. Two field, mydriatic, 45° digital photographs were made by nurses using NDESP protocols and graded by trained graders with no medical background using the NDESP system. A fellowship-trained retina specialist graded all images in masked fashion and served as reference standard.

RESULTS

Altogether, 375 participants (mean age 60±10 years, 48% men) were examined and 1277 images were graded. Grader sensitivity (0.82-0.94 (median 0.88)) and specificity (0.91-0.99 (median 0.98)), reached or exceeded NDESP standards (sensitivity 80%, specificity 95%) in all domains except specificity detecting any DR. Rural ophthalmologists' sensitivity was 0.65-0.95 (median 0.66) and specificity 0.59-0.95 (median 0.91). There was strong agreement between graders and the reference standard (kappa=0.84-0.87, p<0.001) and weak to moderate agreement between rural doctors and the reference (kappa=0.48-0.64, p<0.001).

CONCLUSION

This is the first study of diagnostic accuracy in DR grading among non-medical graders or ophthalmologists in low-income and middle-income countries. Non-medical graders can achieve high levels of accuracy, whereas accuracy of trained rural ophthalmologists is not optimal.

摘要

背景/目的:旨在评估中国农村地区经过培训的乡村眼科医生和非医学影像分级人员在糖尿病视网膜病变(DR)评估中的诊断准确性。

方法

2014 年 1 月至 2015 年 12 月期间,在中国南方的 10 个县级医疗机构连续检查了患有糖尿病的患者。经过培训的乡村眼科医生进行了全面的眼部检查,使用英国国家糖尿病眼病筛查计划(NDESP)分类系统记录诊断结果。护士按照 NDESP 方案使用扩瞳、45°数码照相,由经过培训且无医学背景的分级人员使用 NDESP 系统进行分级。一名接受过专业培训的视网膜专家对所有图像进行了盲法分级,并作为参考标准。

结果

共检查了 375 名参与者(平均年龄 60±10 岁,48%为男性),共分级了 1277 张图像。在所有领域中,分级人员的敏感性(0.82-0.94(中位数 0.88))和特异性(0.91-0.99(中位数 0.98))均达到或超过 NDESP 标准(敏感性 80%,特异性 95%),除了检测任何 DR 的特异性外。乡村眼科医生的敏感性为 0.65-0.95(中位数 0.66),特异性为 0.59-0.95(中位数 0.91)。分级人员与参考标准之间具有很强的一致性(kappa=0.84-0.87,p<0.001),而乡村医生与参考标准之间的一致性为弱至中度(kappa=0.48-0.64,p<0.001)。

结论

这是首次在低收入和中等收入国家中对非医学分级人员或眼科医生在 DR 分级中的诊断准确性进行的研究。非医学分级人员可以达到较高的准确性,而经过培训的乡村眼科医生的准确性则不理想。

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