Efficacy of the Screening Algorithm WINROP in a Korean Population of Preterm Infants

Jama Ophthalmology (Impact Factor: 3.32). 01/2013; 131(1):62-6. DOI: 10.1001/jamaophthalmol.2013.566
Source: PubMed


To investigate the efficacy of WINROP (, an algorithm based on serial measurements of neonatal body weight to predict proliferative retinopathy of prematurity (ROP), in a Korean population of preterm infants.

The records of preterm infants with gestational age less than 32 weeks who were admitted to the neonatal intensive care unit at Chonnam National University Hospital, Gwangju, South Korea, from October 2006 to November 2010 were reviewed. The body weight of infants was measured weekly and entered into a computer-based surveillance system, WINROP, and the outcome was analyzed.

A total of 314 preterm infants participated in the study. The mean gestational age was 29 weeks (range, 25-32 weeks). The mean body weight was 1263 g (range, 590-2260 g). For 166 of 314 infants (52.9%), a high-risk alarm was noted. In the high-risk alarm group, 36 infants developed type 1 ROP, according to the Early Treatment for Retinopathy of Prematurity criteria, and they were treated for ROP. The remaining 148 infants (47.1%) had a low-risk alarm. In the low-risk alarm group, 3 infants with bronchopulmonary dysplasia and intraventricular hemorrhage, a risk factor for ROP, and 1 infant without any risk factors for ROP developed type 1 ROP and were treated.

In a Korean population, the WINROP algorithm had a sensitivity of 90% for identifying infants with type 1 ROP. Although some limitations are present, adjustment to the WINROP algorithm for a specific population may improve the efficacy of predicting proliferative ROP and reduce the frequency of retinal examinations.

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    • "In this study the sensitivity was 95.7% similar to previously performed studies in Sweden [11,12]. The specificity of 23.9% was lower than in previously performed studies in Sweden as well as in Canada, the U.S, Brazil and Korea [11-13,16,23,24]. The reason for this finding is most likely that the present study includes a cohort of extremely premature infants, who have the poorest postnatal weight development and thus are more likely to signal an alarm in WINROP. "
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    ABSTRACT: To evaluate the ability of a postnatal weight-gain algorithm (WINROP) to identify sight-threatening retinopathy of prematurity (ROP type 1) in a nation-based extremely preterm infant cohort. This study enrolled all 707 live-born extremely preterm (gestational age [GA] <27 weeks) infants, born 2004-2007 in Sweden; the Extremely preterm Infants in Sweden Study (EXPRESS). WINROP analysis was performed retrospectively in 407 of the infants using weekly weight gain to assess the preterm infant's risk of developing ROP type 1 requiring treatment. GA, birthweight (BW), and weekly postnatal weight measurements were entered into WINROP. WINROP signals with an alarm to indicate if the preterm infant is at risk for ROP type 1. In this extremely preterm population, WINROP correctly identified 96% (45/47) of the infants who required treatment for ROP type 1. The median time from alarm to treatment was 9 weeks (range, 4-20 weeks). WINROP, an online surveillance system using weekly weight gain, identified extremely preterm infants at risk for ROP type 1 requiring treatment at an early stage and with high sensitivity in a Swedish nation-based cohort.
    PLoS ONE 09/2013; 8(9):e73256. DOI:10.1371/journal.pone.0073256 · 3.23 Impact Factor
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    ABSTRACT: Objective: To study the efficacy of the WINROP ( 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.
    American Journal of Perinatology 06/2014; 30(02). DOI:10.1055/s-0034-1376389 · 1.91 Impact Factor
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    ABSTRACT: Objective To investigate whether postnatal weight at first detection of retinopathy of prematurity (ROP) can predict preterm infants who will develop severe ROP warranting treatment. Design This modern, population-based cohort included 147 infants born at gestational age (GA) <32 weeks in the Gothenburg region during 2011–2012 and screened for ROP at Sahlgrenska University hospital. GA, birth weight (BW), and weekly postnatal weight from birth until postmenstrual age (PMA) 40 weeks data were retrospectively retrieved. Birth weight SD scores (BWSDS) were calculated. ROP data, including first detected ROP stage, maximal ROP stage, ROP treatment, and PMA at first detected sign of ROP were also retrieved. Weight SDS (WSDS) at first ROP detection was calculated. Results Stepwise multivariate logistic regression analysis revealed that the best fit-model of risk factors for developing severe ROP warranting treatment included; GA (OR=0.28, CI 95% 0.12 to 0.66, p<0.01) and WSDS at first ROP detection (OR=0.22, CI 95% 0.05 to 0.89, p<0.05). Conclusions Low weight and low WSDS at first ROP detection can be useful predictors for ROP warranting treatment.
    British Journal of Ophthalmology 06/2014; 98(11). DOI:10.1136/bjophthalmol-2014-304905 · 2.98 Impact Factor
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