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糖尿病视网膜病变的个体化风险评估及筛查间隔的优化:一种降低医疗成本的科学方法。

Individualised risk assessment for diabetic retinopathy and optimisation of screening intervals: a scientific approach to reducing healthcare costs.

作者信息

Lund S H, Aspelund T, Kirby P, Russell G, Einarsson S, Palsson O, Stefánsson E

机构信息

Faculty of Medicine, University of Iceland, Reykjavik, Iceland.

Faculty of Medicine, University of Iceland, Reykjavik, Iceland Risk ehf, Reykjavik, Iceland.

出版信息

Br J Ophthalmol. 2016 May;100(5):683-7. doi: 10.1136/bjophthalmol-2015-307341. Epub 2015 Sep 16.

Abstract

OBJECTIVE

To validate a mathematical algorithm that calculates risk of diabetic retinopathy progression in a diabetic population with UK staging (R0-3; M1) of diabetic retinopathy. To establish the utility of the algorithm to reduce screening frequency in this cohort, while maintaining safety standards.

RESEARCH DESIGN AND METHODS

The cohort of 9690 diabetic individuals in England, followed for 2 years. The algorithms calculated individual risk for development of preproliferative retinopathy (R2), active proliferative retinopathy (R3A) and diabetic maculopathy (M1) based on clinical data. Screening intervals were determined such that the increase in risk of developing certain stages of retinopathy between screenings was the same for all patients and identical to mean risk in fixed annual screening. Receiver operating characteristic curves were drawn and area under the curve calculated to estimate the prediction capability.

RESULTS

The algorithm predicts the occurrence of the given diabetic retinopathy stages with area under the curve =80% for patients with type II diabetes (CI 0.78 to 0.81). Of the cohort 64% is at less than 5% risk of progression to R2, R3A or M1 within 2 years. By applying a 2 year ceiling to the screening interval, patients with type II diabetes are screened on average every 20 months, which is a 40% reduction in frequency compared with annual screening.

CONCLUSIONS

The algorithm reliably identifies patients at high risk of developing advanced stages of diabetic retinopathy, including preproliferative R2, active proliferative R3A and maculopathy M1. Majority of patients have less than 5% risk of progression between stages within a year and a small high-risk group is identified. Screening visit frequency and presumably costs in a diabetic retinopathy screening system can be reduced by 40% by using a 2 year ceiling. Individualised risk assessment with 2 year ceiling on screening intervals may be a pragmatic next step in diabetic retinopathy screening in UK, in that safety is maximised and cost reduced by about 40%.

摘要

目的

验证一种数学算法,该算法可计算英国糖尿病视网膜病变分期(R0 - 3;M1)的糖尿病患者群体中糖尿病视网膜病变进展的风险。确定该算法在保持安全标准的同时,降低该队列筛查频率的效用。

研究设计与方法

对英格兰的9690名糖尿病患者进行为期2年的随访。该算法根据临床数据计算个体发生增殖前期视网膜病变(R2)、活动性增殖性视网膜病变(R3A)和糖尿病性黄斑病变(M1)的风险。确定筛查间隔,使得所有患者在两次筛查之间发生特定阶段视网膜病变的风险增加相同,且与固定年度筛查中的平均风险相同。绘制受试者工作特征曲线并计算曲线下面积以评估预测能力。

结果

该算法对II型糖尿病患者预测给定糖尿病视网膜病变阶段的发生情况,曲线下面积 = 80%(95%置信区间0.78至0.81)。在该队列中,64%的患者在2年内进展至R2、R3A或M1的风险低于5%。通过将筛查间隔设置为2年上限,II型糖尿病患者平均每20个月接受一次筛查,与年度筛查相比,频率降低了40%。

结论

该算法能可靠地识别出有发展为糖尿病视网膜病变晚期高风险的患者,包括增殖前期R2、活动性增殖性R3A和黄斑病变M1。大多数患者在一年内各阶段之间进展的风险低于5%,并识别出一小部分高风险组。通过使用2年上限,糖尿病视网膜病变筛查系统中的筛查就诊频率以及可能的成本可降低40%。在英国糖尿病视网膜病变筛查中,采用2年上限的个体化风险评估及筛查间隔可能是务实的下一步举措,因为这样可使安全性最大化且成本降低约40%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4607/4853547/05d37152ed50/bjophthalmol-2015-307341f01.jpg

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