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一种使用体重增加预测模型和远程医疗系统的早产儿视网膜病变筛查分层方法(TARP)。

A Tiered Approach to Retinopathy of Prematurity Screening (TARP) Using a Weight Gain Predictive Model and a Telemedicine System.

作者信息

Gurwin Jaclyn, Tomlinson Lauren A, Quinn Graham E, Ying Gui-Shuang, Baumritter Agnieshka, Binenbaum Gil

机构信息

Division of Ophthalmology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania2Scheie Eye Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia.

Division of Ophthalmology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.

出版信息

JAMA Ophthalmol. 2017 Feb 1;135(2):131-136. doi: 10.1001/jamaophthalmol.2016.5203.

Abstract

IMPORTANCE

The Telemedicine Approaches to Evaluating Acute-Phase Retinopathy of Prematurity (e-ROP) Study telemedicine system of remote fundus image grading and The Children's Hospital of Philadelphia Retinopathy of Prematurity (CHOP-ROP) postnatal weight gain predictive model are 2 approaches for improving ROP screening efficiency. Current screening has low specificity for severe ROP.

OBJECTIVE

To describe a tiered approach to ROP screening (TARP) for identifying children who develop severe ROP using telemedicine and a predictive model synergistically.

DESIGN, SETTING, AND PARTICIPANTS: This investigation was a post hoc analysis of a cohort in the e-ROP Study (a multicenter prospective telemedicine study) and the Postnatal Growth and Retinopathy of Prematurity (G-ROP) Study (a multicenter retrospective cohort study). The setting was neonatal intensive care units at The Children's Hospital of Philadelphia and the Hospital of the University of Pennsylvania. Participants in the e-ROP Study were premature infants with a birth weight less than 1251 g and a known ROP outcome enrolled between May 25, 2011, and October 31, 2013. The G-ROP Study enrolled all infants undergoing ROP examinations with a known ROP outcome who were born between January 1, 2006, and December 31, 2011.

MAIN OUTCOMES AND MEASURES

The mean outcomes were the sensitivity for type 1 ROP, reductions in infants requiring imaging or examinations, numbers of imaging sessions and examinations, and total clinical encounters (imaging sessions and examinations combined). The following 4 screening approaches were evaluated: ROUTINE (only diagnostic examinations by an ophthalmologist), CHOP-ROP (birth weight and gestational age, with weekly weight gain initiating examinations when the risk cut point is surpassed), e-ROP IMAGING (trained reader grading of type 1 or 2 ROP initiates diagnostic examinations), and TARP (CHOP-ROP alarm initiates imaging, and imaging finding of severe ROP initiates diagnostic examinations).

RESULTS

A total of 242 infants were included in the study, with a median birth weight of 858 g (range, 690-1035 g). The median gestational age was 27 weeks (range, 25-29 weeks). Fifty-one percent (124 of 242) were female, and 49% (118 of 242) were male. The race/ethnicity was 27.3% (66 of 242) white, 56.2% (136 of 242) black, 2.1% (5 of 242) Native American, 1.7% (4 of 242) Asian, and 12.8% (31 of 242) other. The sensitivity for detecting type 1 ROP (32 infants) was 100% (95% CI, 89.3%-100%) with each approach. With ROUTINE, 242 infants had 877 examinations; with CHOP-ROP, 184 infants had 730 examinations; with e-ROP IMAGING, 242 infants had 532 imaging sessions, and 94 infants had 345 examinations (877 patient encounters); and with TARP, 182 infants had 412 imaging sessions, and 87 infants had 322 examinations (734 patient encounters).

CONCLUSIONS AND RELEVANCE

The tiered approach to ROP screening was associated with a reduced number of examinations and imaging sessions compared with the other approaches. Applying a postnatal growth model and telemedicine system in a tiered approach may reduce the number of clinical ROP interventions more than either approach alone.

摘要

重要性

远程眼底图像分级的远程医疗评估早产儿急性期视网膜病变(e-ROP)研究远程医疗系统和费城儿童医院早产儿视网膜病变(CHOP-ROP)出生后体重增加预测模型是提高ROP筛查效率的两种方法。目前的筛查对严重ROP的特异性较低。

目的

描述一种用于ROP筛查的分层方法(TARP),该方法利用远程医疗和预测模型协同识别发生严重ROP的儿童。

设计、地点和参与者:本研究是对e-ROP研究(一项多中心前瞻性远程医疗研究)和早产儿出生后生长与视网膜病变(G-ROP)研究(一项多中心回顾性队列研究)中的队列进行的事后分析。地点为费城儿童医院和宾夕法尼亚大学医院的新生儿重症监护病房。e-ROP研究的参与者为2011年5月25日至2013年10月31日期间出生体重小于1251g且已知ROP结局的早产儿。G-ROP研究纳入了2006年1月1日至2011年12月31日期间出生且已知ROP结局并接受ROP检查的所有婴儿。

主要结局和测量指标

平均结局包括1型ROP的敏感性、需要成像或检查的婴儿数量减少、成像次数和检查次数以及总临床诊疗次数(成像次数和检查次数之和)。评估了以下4种筛查方法:常规筛查(仅由眼科医生进行诊断检查)、CHOP-ROP(出生体重和胎龄,当超过风险切点时每周测量体重增加并开始检查)、e-ROP成像(由经过培训的阅片者对1型或2型ROP进行分级并开始诊断检查)和TARP(CHOP-ROP警报触发成像,严重ROP的成像结果触发诊断检查)。

结果

共有242名婴儿纳入研究,出生体重中位数为858g(范围690 - 1035g)。胎龄中位数为27周(范围25 - 29周)。51%(242名中的124名)为女性,49%(242名中的118名)为男性。种族/族裔分布为27.3%(242名中的66名)为白人,56.2%(242名中的136名)为黑人,2.1%(242名中的5名)为美洲原住民,1.7%(242名中的4名)为亚洲人,12.8%(242名中的31名)为其他。每种方法检测1型ROP(32名婴儿)的敏感性均为100%(95%CI,89.3% - 100%)。常规筛查中,242名婴儿进行了877次检查;CHOP-ROP筛查中,184名婴儿进行了730次检查;e-ROP成像筛查中,242名婴儿进行了532次成像,94名婴儿进行了345次检查(877次患者诊疗);TARP筛查中,182名婴儿进行了412次成像,87名婴儿进行了322次检查(734次患者诊疗)。

结论和意义

与其他方法相比,ROP筛查的分层方法与检查次数和成像次数减少相关。采用出生后生长模型和远程医疗系统的分层方法可能比单独使用任何一种方法更能减少临床ROP干预的次数。

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Screening examination of premature infants for retinopathy of prematurity.早产儿视网膜病变的筛查检查。
Pediatrics. 2013 Jan;131(1):189-95. doi: 10.1542/peds.2012-2996. Epub 2012 Dec 31.

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