Literature DB >> 24915558

Using WINROP as an adjuvant screening tool for retinopathy of prematurity in southern Taiwan.

Chia-Hung Ko1, Hsi-Kung Kuo2, Chih-Cheng Chen1, Feng-Shun Chen1, Yi-Hao Chen2, Hsin-Chun Huang1, Po-Chiung Fang2, Mei-Yung Chung1.   

Abstract

OBJECTIVE: To study the efficacy of the WINROP (https://winrop.com) algorithm in Taiwan, a middle income, moderately developed country in Asia. STUDY
DESIGN: We enrolled all preterm infants born with a gestational age less than 32(+0) weeks from September 2008 to August 2010. The results of serial retinopathy of prematurity examinations according to the screening guidelines in our hospital were recorded. Weekly body weight was also recorded for the WINROP algorithm. The sensitivity, specificity, positive predictive value, and negative predictive value were calculated.
RESULTS: Overall, 148 infants were included. Seventeen infants (11.5%) received treatment for retinopathy of prematurity. But, six infants (35.3%) were missed when severe retinopathy of prematurity was predicted with WINROP algorithm. The sensitivity is only 64.7%. However, when focusing on the preterm infants with a birth weight < 1,000 g or gestational age < 28 weeks, it could predict the need for treatment up to 13 weeks in advance.
CONCLUSION: The WINROP algorithm is a very effective noninvasive screening tool for retinopathy of prematurity, especially in preterm infants with a birth weight  < 1,000 g or a gestational age < 28 weeks. However, the overall sensitivity in this report from Taiwan was not as high as that reported in highly developed countries. Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.

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Mesh:

Year:  2014        PMID: 24915558     DOI: 10.1055/s-0034-1376389

Source DB:  PubMed          Journal:  Am J Perinatol        ISSN: 0735-1631            Impact factor:   1.862


  9 in total

Review 1.  Screening and Treatment in Retinopathy of Prematurity.

Authors:  Andreas Stahl; Wolfgang Göpel
Journal:  Dtsch Arztebl Int       Date:  2015-10-23       Impact factor: 5.594

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.  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

7.  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

8.  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

9.  Diagnostic Accuracy of WINROP, CHOP-ROP and ROPScore in Detecting Type 1 Retinopathy of Prematurity.

Authors:  Deena Thomas; Shamnad Madathil; Anu Thukral; M Jeeva Sankar; Parijat Chandra; Ramesh Agarwal; Ashok Deorari
Journal:  Indian Pediatr       Date:  2021-05-20       Impact factor: 1.411

  9 in total

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