Prediction of severe retinopathy of prematurity using the WINROP algorithm in a cohort from Malopolska. A retrospective, single-center study.

Mateusz Jagła, Anna Peterko, Katarzyna Olesińska, Izabela Szymońska, Przemko Kwinta

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Article in Developmental period medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

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5citing papers in PubMed, 1 pooled it

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

The Use of Postnatal Weight Gain Algorithms to Predict Severe or Type 1 Retinopathy of Prematurity: A Systematic Review and Meta-analysis.JAMA network open · 2021
Pooled it
Efficacy of the WINROP algorithm for retinopathy of prematurity screening in Southern China.International journal of ophthalmology · 2021
Article
The Effect of STAT3 Signal Pathway Activation on Retinopathy of Prematurity.Frontiers in pediatrics · 2021
Article
Prediction of retinopathy of prematurity using the screening algorithm WINROP in a Saudi cohort of preterm infants.Saudi medical journal · 2020
Article
Efficacy of WINROP as a Screening Tool for Retinopathy of Prematurity in the East Coast of Malaysia.Clinical ophthalmology (Auckland, N.Z.) · 2020
Article

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5 · Who and what money

Authors and funding

5 authors.

Mateusz JagłaChair of Pediatrics, Jagiellonian University, Collegium Medicum, Cracow, Poland.

Anna PeterkoStudent Research Group, Chair of Pediatrics, Jagiellonian University, Collegium Medicum, Cracow, Poland.

Katarzyna OlesińskaStudent Research Group, Chair of Pediatrics, Jagiellonian University, Collegium Medicum, Cracow, Poland.

Izabela SzymońskaChair of Pediatrics, Jagiellonian University, Collegium Medicum, Cracow, Poland.

Przemko KwintaChair of Pediatrics, Jagiellonian University, Collegium Medicum, Cracow, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionRetinopathy of prematurity (ROP) is one of the leading avoidable causes of blindness in childhood in developed countries. Accurate diagnosis and treatment are essential for preventing the loss of vision. WINROP (https://www.winrop.com) is an online monitoring system which predicts the risk for ROP requiring treatment based on gestational age, birth weight, and body weight gain.

aimTo validate diagnostic accuracy of the WINROP algorithm for the detection of severe ROP in a single centre cohort of Polish, high-risk preterm infant population. MATERIAL AND

methodsMedical records of neonates born before 32 weeks of gestation admitted to the third level neonatal centre in a 2-year retrospective investigation 79 patients were included in the study: their gestational age, birth weight and body weight gain were set in the WINROP system. The algorithm evaluated the risk for ROP divided into low or high-risk of disease and identified infants with high risk of developing severe ROP (type 1 ROP).

resultsOut of 79 patients 37 received a high-risk alarm, of whom 22 developed severe ROP. Low-risk alarm was triggered in 42 infants; five of them developed type 1 ROP. The sensitivity of the WINROP was found to be 81.5% (95% CI 61.9-93.7), specificity 71.2% (95% CI 56.9-82.9), negative predictive value (NPV) 88.1% (95% CI 76.7-94.3), and positive predictive value (PPV) 59.5 (95% CI 48.1-69.9), respectively. The accuracy of the test significantly increased after combined WINROP and surfactant therapy as an additional factor - sensitivity 96.3% (95% CI 81.0-99.9), specificity 63.5% (95% CI 49.0-76.4), NPV 97.1% (95% CI 82.3-99.6), and PPV 57.8 (95% CI 48.7-66.4).

conclusionsThe WINROP algorithm sensitivity from the Polish cohort was not as high as that reported in developed countries. However, combined with additional factors (e.g. surfactant treatment) it can be useful for identifying the risk groups of sight-threatening ROP. The accuracy of the WINROP algorithm should be validated in a large multi-center prospective study in a Polish population of preterm infants.

Indexed as

AlgorithmsInfant, PrematureSeverity of Illness IndexFemaleHumansInfant, NewbornIntensive Care Units, NeonatalMaleNeonatal ScreeningPolandRetinal NeovascularizationRetinopathy of PrematurityRetrospective StudiesRisk AssessmentRisk Factorsprematurityretinopathy of prematurityWINROP algorithm

Identifiers

PMID29291361

PMCPMC8522935

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