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The Use of the WINROP Screening Algorithm for the Prediction of Retinopathy of Prematurity in a Chinese Population

Journal article
Authors H. Q. Sun
W. Q. Kang
X. Y. Cheng
C. Chen
H. Xiong
J. Guo
C. C. Zhou
Y. H. Zhang
Ann Hellström
Chatarina Löfqvist
Changlian Zhu
Published in Neonatology
Volume 104
Issue 2
Pages 127-132
ISSN 1661-7800
Publication year 2013
Published at Institute of Neuroscience and Physiology
Pages 127-132
Language en
Links dx.doi.org/10.1159/000351297
Keywords WINROP, Preterm infant, Weight gain, Retinopathy of prematurity, EARLY WEIGHT-GAIN, LONGITUDINAL POSTNATAL WEIGHT, PRETERM INFANTS, BIRTH-WEIGHT, PROLIFERATIVE RETINOPATHY, DEVELOPING-COUNTRIES, OXYGEN, RISK
Subject categories Clinical Medicine

Abstract

Background: Retinopathy of prematurity (ROP) is a gestational age (GA)-related illness that can lead to blindness in premature infants. Timely screening of premature infants could improve visual prognosis. Objective: To evaluate the WINROP algorithm as a method of predicting severe ROP in a Chinese population. Methods: 590 infants with a GA <32 weeks were entered into an online surveillance system (www.winrop.com) that included ROP evaluations and weekly weight measurements from birth to a corrected GA of 40 weeks. If the rate of weight gain decreased to a certain degree, the algorithm signaled an alarm that the infant was at risk for developing sight-threatening ROP. Each infant was categorized as having no, mild, or severe ROP. Results: Among the 590 infants with a GA <32 weeks, an alarm was triggered in 85 infants (14.4%), 50 of which developed severe ROP and were identified in this alarm group. Twenty-seven infants triggered the alarm signal in the first week after birth and 7 infants triggered the alarm at birth. Seven of the infants developed proliferative ROP and the median GA at birth for these infants was 31 weeks. Conclusions: The WINROP system had a sensitivity of 87.5% in a Chinese population for the early identification of infants that developed severe ROP. Postnatal weight gain may help predict ROP in lower birth weight infants. Copyright (C) 2013 S. Karger AG, Basel

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