Literature DB >> 23887600

The use of the WINROP screening algorithm for the prediction of retinopathy of prematurity in a Chinese population.

Huiqing Sun1, Wengqing Kang, Xiuyong Cheng, Chao Chen, Hong Xiong, Jing Guo, Chongchen Zhou, Yinghui Zhang, Ann Hellström, Chatarina Löfqvist, Changlian Zhu.   

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 © 2013 S. Karger AG, Basel.

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Year:  2013        PMID: 23887600     DOI: 10.1159/000351297

Source DB:  PubMed          Journal:  Neonatology        ISSN: 1661-7800            Impact factor:   4.035


  13 in total

1.  POSTNATAL SERUM INSULIN-LIKE GROWTH FACTOR I AND RETINOPATHY OF PREMATURITY.

Authors:  Anne K Jensen; Gui-Shuang Ying; Jiayan Huang; Graham E Quinn; Gil Binenbaum
Journal:  Retina       Date:  2017-05       Impact factor: 4.256

2.  Use of an online screening algorithm - Weight, Insulin-derived growth factor 1, Neonatal Retinopathy of Prematurity (WINROP) for predicting retinopathy of prematurity in Indian preterm babies.

Authors:  Smith Snehal Sute; Suksham Jain; Deepak Chawla; Subina Narang
Journal:  Indian J Ophthalmol       Date:  2021-05       Impact factor: 1.848

3.  WINROP algorithm for prediction of sight threatening retinopathy of prematurity: Initial experience in Indian preterm infants.

Authors:  Gaurav Sanghi; Anil Narang; Sunny Narula; Mangat R Dogra
Journal:  Indian J Ophthalmol       Date:  2018-01       Impact factor: 1.848

4.  The ROPScore as a Screening Algorithm for Predicting Retinopathy of Prematurity in a Brazilian Population.

Authors:  Kellen Cristiane do Vale Lucio; Maria Regina Bentlin; Ana Carolina de Lima Augusto; José Eduardo Corrente; Taísa Bertoco Carregal Toscano; Regina El Dib; Eliane Chaves Jorge
Journal:  Clinics (Sao Paulo)       Date:  2018-07-26       Impact factor: 2.365

5.  Efficacy of WINROP as a Screening Tool for Retinopathy of Prematurity in the East Coast of Malaysia.

Authors:  Zi Di Lim; Kok Tian Oo; Evelyn Li Min Tai; Ismail Shatriah
Journal:  Clin Ophthalmol       Date:  2020-04-24

6.  Using ROPScore and CHOP ROP for early prediction of retinopathy of prematurity in a Chinese population.

Authors:  Huiqing Sun; Yubin Dong; Yanxia Liu; Qingqin Chen; Yanxi Wang; Bin Cheng; Shaobo Qin; Liping Meng; Shanxiu Li; Yanlun Zhang; Aiguo Zhang; Weiling Yan; Yuhong Dong; Shuyi Cheng; Mingchao Li; Zengyuan Yu
Journal:  Ital J Pediatr       Date:  2021-02-18       Impact factor: 2.638

7.  The Use of Postnatal Weight Gain Algorithms to Predict Severe or Type 1 Retinopathy of Prematurity: A Systematic Review and Meta-analysis.

Authors:  Sam Athikarisamy; Saumil Desai; Sanjay Patole; Shripada Rao; Karen Simmer; Geoffrey C Lam
Journal:  JAMA Netw Open       Date:  2021-11-01

8.  Assessment of WINROP algorithm as screening tool for preterm infants in Manitoba to detect retinopathy of prematurity.

Authors:  Ebtihal Ali; Nasser Al-Shafouri; Abrar Hussain; R John Baier
Journal:  Paediatr Child Health       Date:  2017-05-08       Impact factor: 2.253

9.  Validation of the DIGIROP-birth model in a Chinese cohort.

Authors:  Sizhe Chen; Rong Wu; He Chen; Wenbei Ma; Shaolin Du; Chao Li; Xiaohe Lu; Songfu Feng
Journal:  BMC Ophthalmol       Date:  2021-05-27       Impact factor: 2.209

10.  Prediction of retinopathy of prematurity using the screening algorithm WINROP in a Saudi cohort of preterm infants.

Authors:  Lina H Raffa; Sara K Alessa; Aliaa S Alamri; Rawan H Malaikah
Journal:  Saudi Med J       Date:  2020-06       Impact factor: 1.484

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