Prediction of severe retinopathy of prematurity using the WINROP algorithm in a birth cohort in South East Scotland

Piyasena, Chinthika; Dhaliwal, Catharine; Russell, Heather; Hellström, Ann; Löfqvist, Chatarina; Stenson, Ben J; Fleck, Brian

doi:10.1136/archdischild-2013-304101

Cited by 34 publications

(23 citation statements)

References 26 publications

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“…Similar results have also been reported in other moderately developed countries and a few developed countries. 17,19,25 However, the sensitivity of WINROP in predicting patients at high risk of treatment-demanding ROP in preterm infants with a BW less than 1,000 g was still high in the current study. Therefore, WINROP may be still useful as an adjuvant screening tool in extremely low birth weight (BW < 1,000 g) infants and may be able to decrease the frequency of ROP examinations in moderately developed countries.…”

Section: Discussioncontrasting

confidence: 61%

Using WINROP as an Adjuvant Screening Tool for Retinopathy of Prematurity in Southern Taiwan

Kuo

Chen

et al. 2014

Amer J Perinatol

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Section: Discussioncontrasting

confidence: 61%

Using WINROP as an Adjuvant Screening Tool for Retinopathy of Prematurity in Southern Taiwan

Kuo

Chen

et al. 2014

Amer J Perinatol

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“…While prediction has shown to be excellent in one Swedish publication, 24 application of the algorithm did not reach a sensitivity of 100% in all other populations with values mostly around 90%. [25][26][27][28] Furthermore, these retrospective analyses included relatively small sample sizes of approximately 600 patients. This shows that a screening solely based on WINROP would fail to detect several patients developing severe ROP.…”

Section: Discussionmentioning

confidence: 99%

Prediction of ROP Treatment and Evaluation of Screening Criteria in VLBW Infants–a Population Based Analysis

et al. 2018

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“…WINROP was originally developed in a Swedish preterm population and has been validated in another Swedish population with 100% sensitivity and 84.5% specificity [9,12]. In other countries, the sensitivity and specificity of WINROP have been slightly reduced [13,14,15,16,17]. WINROP was previously validated in infants screened for ROP in 2005-2010 at the neonatal intensive care unit (NICU) at the Hospital Civil de Guadalajara, Mexico [16].…”

Section: Introductionmentioning

confidence: 99%

Oxygen Monitoring Reduces the Risk for Retinopathy of Prematurity in a Mexican Population

et al. 2016

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Background: Retinopathy of prematurity (ROP), a potentially blinding disease, affects preterm infants. High levels of oxygen saturation are a well-known risk factor for ROP. Objectives: To assess the frequency of ROP type 1 needing treatment after improved oxygen monitoring (2011) in a Mexican preterm population selected for WINROP analyses and to retrospectively revalidate WINROP, an online surveillance system identifying infants at risk of developing ROP type 1. Methods: Preterm infants born with birth weight (BW) <1,750 g and/or at gestational age (GA) ≤34 weeks, screened for ROP in 2012-2014 at the Hospital Civil de Guadalajara, Mexico were included (n = 151). Eighty-five infants with GA <32 weeks qualified for WINROP analyses. GA, BW, maximal ROP stage, ROP treatment and weekly weights were recorded. The results in the present study were compared to those of a previous WINROP study in the same hospital (2005-2010; n = 352). Results: In the present WINROP cohort, 11.8% of the infants born at GA <32 weeks received treatment compared to 51.0% of the infants in the previous WINROP cohort. One infant (3%) born at GA ≥32 weeks received treatment during the present study period compared to 35.6% during the previous period. WINROP displayed 80.0% sensitivity in infants born at GA <32 weeks in the present study compared to 84.7% in the previous study. Conclusions: Uncontrolled oxygen supplementation is the major risk factor for severe ROP in infants born at GA ≥32 weeks. After improved oxygen monitoring, the frequency of ROP treatment was dramatically reduced at the Hospital Civil de Guadalajara, Mexico.

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Prediction of severe retinopathy of prematurity using the WINROP algorithm in a birth cohort in South East Scotland

Abstract: The WINROP program offers a non-invasive method of identifying infants at high risk of severe ROP and also identifying those not at risk. However, for WINROP to function optimally, it has to be used as recommended and designed, namely weekly body weight measurements are required.

Cited by 34 publications

References 26 publications

Using WINROP as an Adjuvant Screening Tool for Retinopathy of Prematurity in Southern Taiwan

Using WINROP as an Adjuvant Screening Tool for Retinopathy of Prematurity in Southern Taiwan

Prediction of ROP Treatment and Evaluation of Screening Criteria in VLBW Infants–a Population Based Analysis

Oxygen Monitoring Reduces the Risk for Retinopathy of Prematurity in a Mexican Population

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