Validation of the WINROP screening algorithm among preterm infants in East Malaysia

Q4 Medicine
N. A. Kadir, S. Ahmad, S. A. Ghani, M. C. Bastion
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引用次数: 1

Abstract

Objective: To prospectively validate the WINROP (Weight, Insulin-like growth factor 1, Neonatal, Retinopathy of Prematurity) screening algorithm (www.winrop.com) based on longitudinal measurements of neonatal body weights in predicting the development of severe retinopathy of prematurity (ROP) among preterm infants admitted to the neonatal intensive care unit of a tertiary care center in East Malaysia. Methods: All premature infants of less than 32 weeks gestational age (GA) were included in this cohort. Their body weight was measured weekly from birth to 36 weeks postmenstrual age and entered into the computer-based surveillance system: WINROP. Infants were then classified by the system into high- or low-risk alarm group. The retinopathy findings were recorded according to Early Treatment for ROP criteria. However, the screening and management of infants were done according to the recommendations of the Continuous Practice Guidelines, Ministry of Health, Malaysia. The team members involved in screening and those recording the findings were kept blinded from each other. Results: A total of 151 infants with median GA at birth of 30 weeks (interquartile range [IQR] A} 2.1) and mean birth weight of 1,264 g (standard deviation A} 271) were analyzed. High-risk alarm was signaled in 85 (56.3%) infants and 9 (6.6%) infants developed type 1 ROP. One infant in the low-risk alarm group developed type 1 ROP requiring laser retinal photocoagulation. The median time lag from the high-risk alarm signal to the development of type 1 ROP was 10.4 (IQR A} 8.4) weeks. Conclusion: In this cohort, the WINROP algorithm had a sensitivity of 90%, with negative predictive value of 98.5% (95% confidence interval) for detecting infants with type 1 ROP and was able to predict infants with ROP earlier than their due screening date. This study shows that a modified version of the WINROP algorithm aimed at specific populations may improve the outcome of this technique.
东马早产儿WINROP筛查算法的验证
目的:前瞻性验证基于新生儿体重纵向测量的WINROP(体重,胰岛素样生长因子1,新生儿,早产儿视网膜病变)筛查算法(www.winrop.com)在预测马来西亚东部三级保健中心新生儿重症监护病房的早产儿中严重早产儿视网膜病变(ROP)的发展。方法:所有小于32周胎龄(GA)的早产儿纳入本队列。从出生到经后36周,每周测量她们的体重,并将其输入计算机监测系统:WINROP。然后,系统将婴儿分为高风险警报组和低风险警报组。根据ROP的早期治疗标准记录视网膜病变的发现。然而,婴儿的筛查和管理是根据马来西亚卫生部《持续实践指南》的建议进行的。参与筛选的团队成员和记录结果的团队成员彼此保密。结果:共分析151例出生时GA中位数为30周的婴儿(四分位间距[IQR] A} 2.1),平均出生体重为1264 g(标准差A} 271)。85例(56.3%)婴儿出现高危警报,9例(6.6%)婴儿出现1型ROP。低危报警组有1例发生1型ROP,需要激光视网膜光凝。从高危报警信号到发生1型ROP的中位滞后时间为10.4 (IQR A} 8.4)周。结论:在本队列中,WINROP算法检测1型ROP的敏感性为90%,阴性预测值为98.5%(95%置信区间),能够提前筛查出ROP患儿。本研究表明,针对特定种群的WINROP算法的改进版本可能会改善该技术的结果。
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来源期刊
Asian Journal of Ophthalmology
Asian Journal of Ophthalmology Medicine-Ophthalmology
自引率
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期刊介绍: Asian Journal of OPHTHALMOLOGY is the official peer-reviewed journal of the South East Asia Glaucoma Interest Group (SEAGIG) and is indexed in EMBASE/Excerpta Medica. Asian Journal of OPHTHALMOLOGY is published quarterly (four [4] issues per year) by Scientific Communications International Limited. The journal is published on-line only and is distributed free of cost via the SEAGIG website.
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