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利用 IntelligentRetinalImagingSystem(IRIS)平台提高内分泌科使用 telemedicine 筛查糖尿病视网膜病变疗效的因素识别。

Identification of factors to increase efficacy of telemedicine screening for diabetic retinopathy in endocrinology practices using the Intelligent Retinal Imaging System (IRIS) platform.

机构信息

Department of Internal Medicine, University of Texas, Houston, TX, USA.

Blanton Eye Institute, Houston Methodist Hospital, Houston, TX, USA; Retina Consultants of Houston, Houston, TX, USA.

出版信息

Diabetes Res Clin Pract. 2018 Jun;140:265-270. doi: 10.1016/j.diabres.2018.04.011. Epub 2018 Apr 9.

Abstract

AIMS

Diabetic retinopathy (DR) and diabetic macular edema (DME) can be evaluated using telemedicine systems, such as the Intelligent Retinal Imaging Systems (IRIS), in patients with Diabetes Mellitus (DM). In an endocrinology-based population utilizing IRIS we determine prevalence rates of DR and DME, and identify associated epidemiologic correlations.

METHODS

This is a multicenter, retrospective chart review using screening data from IRIS. Centers for Disease Control and Prevention (CDC) data on epidemiologic variables (by county) namely, prevalence of DM, incidence of DM, obesity, and time of physical inactivity, were compared against prevalence rates of DR found at screening.

RESULTS

A total of 10,223 eyes of 5,242 patients with DM were imaged. DR and DME were noted in 1781 (33.98%) and 226 imaging studies (4.31%) respectively. The coefficient of determination was greatest for incidence of DM (R = 0.92), followed by DM prevalence (R = 0.79), obesity, (R = 0.67), and physical inactivity (R = 0.34). The presence of DR during screening varied significantly by county (p < 0.001).

CONCLUSIONS

Screening in counties with a higher incidence of DM led to a higher prevalence of identified DR at time of screening. The current work suggests that telemedicine screening in areas known to have a higher incidence of DM may be worthwhile.

摘要

目的

糖尿病视网膜病变 (DR) 和糖尿病黄斑水肿 (DME) 可以通过远程医疗系统(如 Intelligent Retinal Imaging Systems [IRIS])进行评估,用于患有糖尿病 (DM) 的患者。我们在一个基于内分泌的利用 IRIS 的人群中,确定了 DR 和 DME 的患病率,并确定了相关的流行病学相关性。

方法

这是一项多中心、回顾性图表审查,使用来自 IRIS 的筛查数据。疾病预防控制中心 (CDC) 的流行病学变量(按县)数据,即 DM 的患病率、DM 的发病率、肥胖和身体活动时间,与筛查时发现的 DR 患病率进行了比较。

结果

共对 5242 例糖尿病患者的 10223 只眼进行了成像。在 1781 项(33.98%)和 226 项成像研究(4.31%)中分别记录了 DR 和 DME。DM 发病率的决定系数最大(R=0.92),其次是 DM 患病率(R=0.79)、肥胖(R=0.67)和身体活动不足(R=0.34)。筛查时的 DR 存在情况因县而异(p<0.001)。

结论

在 DM 发病率较高的县进行筛查可导致筛查时发现的 DR 患病率更高。目前的工作表明,在已知 DM 发病率较高的地区进行远程医疗筛查可能是值得的。

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