1. Multicenter validation study of the WINROP algorithm as a method for detecting retinopathy of prematurity
- Author
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María J Chaves-Samaniego, María C Chaves-Samaniego, Julia Escudero Gómez, Cristina Gómez Cabrera, José L García Serrano, Antonio Muñoz Hoyos, and José García Campos
- Subjects
Validation study ,Early detection ,Gestational Age ,Screening algorithm ,Risk Assessment ,03 medical and health sciences ,Neonatal Screening ,0302 clinical medicine ,Predictive Value of Tests ,Pregnancy ,030225 pediatrics ,Humans ,Infant, Very Low Birth Weight ,Medicine ,Retinopathy of Prematurity ,Retrospective Studies ,business.industry ,Infant, Newborn ,Obstetrics and Gynecology ,Retinopathy of prematurity ,University hospital ,medicine.disease ,Predictive value ,Pediatrics, Perinatology and Child Health ,030221 ophthalmology & optometry ,Population study ,Female ,business ,Algorithm ,Algorithms ,Infant, Premature - Abstract
Purpose: To assess the validity of the online WINROP algorithm in two Spanish populations of premature infants.Materials and methods: The study population consisted of 502 premature infants born in the San Cecilio University Hospital of Granada and the Regional University Hospital of Malaga in the years 2000-2015. The WINROP algorithm was used to determine an alarm threshold for retinopathy of prematurity (ROP). The results were compared with those obtained from serial examinations of premature infants.Results: The global WINROP algorithm showed a sensitivity of 62%, specificity of 74%, positive predictive value (PPV) of 59%, and negative predictive value (NPV) of 77%. This algorithm showed a greater sensitivity (76%) to identify severe ROP.Conclusions: The WINROP screening algorithm in this study showed moderate sensitivity, so many ROP cases amenable to treatment were not detected. Other criteria should be added to the algorithm to increase the sensitivity.
- Published
- 2018
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