title: Evaluation of the WinROP system for identifying retinopathy of prematurity in Czech preterm infants.
abstract: OBJECTIVE
  Retinopathy of Prematurity (ROP) is a potentially serious condition that can afflict preterm infants. Timely and correct identification of individuals at risk of developing a serious form of ROP is therefore of paramount importance. WinROP is an online system for predicting ROP based on birth weight and weight increments. However, the results vary significantly for various populations. It has not been evaluated in the Czech population. This study evaluates the test characteristics (specificity, sensitivity, positive and negative predictive values) of the WinROP system in Czech preterm infants.
  
  
  METHODS
  Data on 445 prematurely born infants included in the ROP screening program at the University Hospital Ostrava, Czech Republic, were retrospectively entered into the WinROP system and the outcomes of the WinROP and regular screening were compared.
  
  
  RESULTS
  All 24 infants who developed high-risk (Type 1 or Type 2) ROP were correctly identified by the system. The sensitivity and negative predictive values for this group were 100%. However, the specificity and positive predictive values were substantially lower, resulting in a large number of false positives. Extending the analysis to low risk ROP, the system did not provide such reliable results.
  
  
  CONCLUSIONS
  The system is a valuable tool for identifying infants who are not likely to develop high-risk ROP and this could help to substantially reduce the number of preterm infants in need of regular ROP screening. It is not suitable for predicting the development of less serious forms of ROP which is however in accordance with the declared aims of the WinROP system.
authors.affiliation: Clinic of Ophthalmology, University Hospital Ostrava, Czech Republic.|Department of Pediatric Ophthalmology, Faculty of Medicine, Masaryk University, Brno and Faculty Hospital Brno, Czech Republic.|Department of Craniofacial Surgery, Faculty of Medicine, University of Ostrava, Czech Republic.
authors.forename: Juraj
authors.initials: J
authors.lastname: Timkovic
authors.affiliation: Department of Neonatology, University Hospital Ostrava, Czech Republic.
authors.forename: Martina
authors.initials: M
authors.lastname: Pokryvkova
authors.affiliation: IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava, Czech Republic.
authors.forename: Katerina
authors.initials: K
authors.lastname: Janurova
authors.affiliation: Department of Neonatology, University Hospital Ostrava, Czech Republic.
authors.forename: Denisa
authors.initials: D
authors.lastname: Barinova
authors.affiliation: Department of Craniofacial Surgery, Faculty of Medicine, University of Ostrava, Czech Republic.|Department of Neonatology, University Hospital Ostrava, Czech Republic.
authors.forename: Renata
authors.initials: R
authors.lastname: Polackova
authors.affiliation: Clinic of Ophthalmology, University Hospital Ostrava, Czech Republic.|Department of Craniofacial Surgery, Faculty of Medicine, University of Ostrava, Czech Republic.
authors.forename: Petr
authors.initials: P
authors.lastname: Masek
mesh_terms: D005865:Gestational Age; D006801:Humans; D062071:Infant, Extremely Premature; D007231:Infant, Newborn; D007234:Infant, Premature; D015997:Neonatal Screening / Q000379:methods / Q000592:standards; D012178:Retinopathy of Prematurity / Q000175:diagnosis*; D042262:Retinoscopy / Q000379:methods / Q000592:standards; D012189:Retrospective Studies; D012680:Sensitivity and Specificity
keywords: ROP prediction; WinROP system; early diagnosis of ROP; retinopathy of prematurity