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一种用于评估早产儿急性期视网膜病变的远程医疗系统的有效性

Validity of a telemedicine system for the evaluation of acute-phase retinopathy of prematurity.

作者信息

Quinn Graham E, Ying Gui-shuang, Daniel Ebenezer, Hildebrand P Lloyd, Ells Anna, Baumritter Agnieshka, Kemper Alex R, Schron Eleanor B, Wade Kelly

机构信息

Division of Pediatric Ophthalmology, The Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia.

Department of Ophthalmology, Scheie Eye Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia.

出版信息

JAMA Ophthalmol. 2014 Oct;132(10):1178-84. doi: 10.1001/jamaophthalmol.2014.1604.

Abstract

IMPORTANCE

The present strategy to identify infants needing treatment for retinopathy of prematurity (ROP) requires repeated examinations of at-risk infants by physicians. However, less than 10% ultimately require treatment. Retinal imaging by nonphysicians with remote image interpretation by nonphysicians may provide a more efficient strategy.

OBJECTIVE

To evaluate the validity of a telemedicine system to identify infants who have sufficiently severe ROP to require evaluation by an ophthalmologist.

DESIGN, SETTING, AND PARTICIPANTS: An observational study of premature infants starting at 32 weeks' postmenstrual age was conducted. This study involved 1257 infants with birth weight less than 1251 g in neonatal intensive care units in 13 North American centers enrolled from May 25, 2011, through October 31, 2013.

INTERVENTIONS

Infants underwent regularly scheduled diagnostic examinations by an ophthalmologist and digital imaging by nonphysician staff using a wide-field digital camera. Ophthalmologists documented findings consistent with referral-warranted (RW) ROP (ie, zone I ROP, stage 3 ROP or worse, or plus disease). A standard 6-image set per eye was sent to a central server and graded by 2 trained, masked, nonphysician readers. A reading supervisor adjudicated disagreements.

MAIN OUTCOMES AND MEASURES

The validity of grading retinal image sets was based on the sensitivity and specificity for detecting RW-ROP compared with the criterion standard diagnostic examination.

RESULTS

A total of 1257 infants (mean birth weight, 864 g; mean gestational age, 27 weeks) underwent a median of 3 sessions of examinations and imaging. Diagnostic examination identified characteristics of RW-ROP in 18.2% of eyes (19.4% of infants). Remote grading of images of an eye at a single session had sensitivity of 81.9% (95% CI, 77.4-85.6) and specificity of 90.1% (95% CI, 87.9-91.8). When both eyes were considered for the presence of RW-ROP, as would routinely be done in a screening, the sensitivity was 90.0% (95% CI, 85.4-93.5), with specificity of 87.0% (95% CI, 84.0-89.5), negative predictive value of 97.3%, and positive predictive value of 62.5% at the observed RW-ROP rate of 19.4%.

CONCLUSIONS AND RELEVANCE

When compared with the criterion standard diagnostic examination, these results provide strong support for the validity of remote evaluation by trained nonphysician readers of digital retinal images taken by trained nonphysician imagers from infants at risk for RW-ROP.

TRIAL REGISTRATION

clinicaltrials.gov Identifier:NCT01264276.

摘要

重要性

目前用于识别需要治疗早产儿视网膜病变(ROP)的婴儿的策略要求医生对高危婴儿进行反复检查。然而,最终需要治疗的婴儿不到10%。由非医生进行视网膜成像并由非医生进行远程图像解读可能会提供一种更有效的策略。

目的

评估一种远程医疗系统识别患有足够严重ROP需要眼科医生评估的婴儿的有效性。

设计、地点和参与者:对从孕龄32周开始的早产儿进行了一项观察性研究。该研究纳入了2011年5月25日至2013年10月31日期间北美13个中心新生儿重症监护病房中1257名出生体重小于1251g的婴儿。

干预措施

婴儿接受眼科医生定期安排的诊断检查以及非医生工作人员使用广角数码相机进行的数字成像。眼科医生记录与转诊指征(RW)ROP一致的检查结果(即I区ROP、3期或更严重的ROP或附加病变)。每只眼睛的一套标准6张图像被发送到中央服务器,并由2名经过培训、不知情的非医生阅片者进行分级。阅读主管对分歧进行裁决。

主要结局和指标

视网膜图像集分级的有效性基于与标准诊断检查相比检测RW-ROP的敏感性和特异性。

结果

共有1257名婴儿(平均出生体重864g;平均胎龄27周)接受了中位数为3次的检查和成像。诊断检查在18.2%的眼睛(19.4%的婴儿)中发现了RW-ROP的特征。在单次检查中对一只眼睛的图像进行远程分级,敏感性为81.9%(95%CI,77.4-85.6),特异性为90.1%(95%CI,87.9-91.8)。当像在筛查中常规操作那样考虑双眼是否存在RW-ROP时,在观察到的RW-ROP发生率为19.4%的情况下,敏感性为90.0%(95%CI,85.4-93.5),特异性为87.0%(95%CI,84.0-89.5),阴性预测值为97.3%,阳性预测值为62.5%。

结论和相关性

与标准诊断检查相比,这些结果为经过培训的非医生阅片者对有RW-ROP风险婴儿由经过培训的非医生成像者拍摄的数字视网膜图像进行远程评估的有效性提供了有力支持。

试验注册

clinicaltrials.gov标识符:NCT01264276。

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