Prediction of Retinopathy of Prematurity Using the Screening Algorithm WINROP in a Mexican Population of Preterm Infants
ABSTRACT To retrospectively validate the WINROP (weight, insulin-like growth factor I, neonatal, retinopathy of prematurity [ROP]) algorithm in identification of type 1 ROP in a Mexican population of preterm infants.
In infants admitted to the neonatal intensive care unit at Hospital Civil de Guadalajara from 2005 to 2010, weight measurements had been recorded once weekly for 192 very preterm infants (gestational age [GA] <32 weeks) and for 160 moderately preterm infants (GA ≥32 weeks). Repeated eye examinations had been performed and maximal ROP stage had been recorded. Data are part of a case-control database for severe ROP risk factors.
Type 1 ROP was found in 51.0% of very preterm and 35.6% of moderately preterm infants. The WINROP algorithm correctly identified type 1 ROP in 84.7% of very preterm infants but in only 5.3% of moderately preterm infants. For infants with GA less than 32 weeks, the specificity was 26.6%, and for those with GA 32 weeks or more, it was 88.3%.
In this Mexican population of preterm infants, WINROP detected type 1 ROP early in 84.7% of very preterm infants and correctly identified 26.6% of infants who did not develop type 1 ROP. Uncertainties in dating of pregnancies and differences in postnatal conditions may be factors explaining the different outcomes of WINROP in this population.
- New England Journal of Medicine 12/2012; 367(26):2515-26. DOI:10.1056/NEJMra1208129 · 54.42 Impact Factor
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ABSTRACT: OBJECTIVE: To develop an algorithm that allows advanced identification of infants requiring treatment for retinopathy of prematurity (ROP). STUDY DESIGN: A retrospective observational study was performed at 2 tertiary neonatal units serving a multiethnic population in the UK, using data on 929 infants eligible for ROP screening. The relationships between study variables and the risk of developing ROP requiring treatment were analyzed using multiple logistic regression. RESULTS: After applying exclusion criteria, data from 589 infants were analyzed; of these, 57 required laser treatment. The proportion of treated infants was 5.9% of those born to black mothers, 9.39% of those born to white mothers, and 12.8% of those born to Asian mothers (P = .047). Multiple logistic regression showed that gestational age, birth weight, maternal ethnicity, and early weight gain were predictors for the development of ROP requiring treatment, with maternal ethnicity having greater predictive power compared with early weight gain. We developed an algorithm for predicting the development of ROP requiring treatment with sensitivity, specificity, and positive and negative predictive values of 100%, 65.7%, 23.8%, and 100%, respectively. CONCLUSION: Gestational age, birth weight, early weight gain, and maternal ethnicity are important predictors for the development of ROP requiring treatment. In a multiethnic population, an algorithm to predict development of ROP requiring treatment should include maternal ethnicity. If confirmed through prospective studies, this algorithm could reduce the number of opthalmologic examinations performed for ROP screening.The Journal of pediatrics 01/2013; 163(1). DOI:10.1016/j.jpeds.2012.12.038 · 3.74 Impact Factor
- Archivos de la Sociedad Espanola de Oftalmologia 02/2013; 88(2):43-44.