Evaluation of the WinROP system for identifying retinopathy of prematurity in Czech preterm infants
Autor: | Katerina Janurova, Denisa Barinova, Petr Mašek, Martina Pokryvkova, Juraj Timkovič, Renata Polackova |
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Rok vydání: | 2017 |
Předmět: |
Czech
early diagnosis of rop Pediatrics medicine.medical_specialty Birth weight Population lcsh:Medicine Gestational Age Sensitivity and Specificity General Biochemistry Genetics and Molecular Biology 03 medical and health sciences Neonatal Screening 0302 clinical medicine 030225 pediatrics Positive predicative value medicine False positive paradox Humans Retinopathy of Prematurity education winrop system Retrospective Studies education.field_of_study business.industry lcsh:R Infant Newborn Retinopathy of prematurity medicine.disease University hospital Predictive value rop prediction eye diseases language.human_language 3. Good health Infant Extremely Premature 030221 ophthalmology & optometry language business Infant Premature Retinoscopy |
Zdroj: | Biomedical Papers, Vol 161, Iss 1, Pp 111-116 (2017) |
ISSN: | 1804-7521 1213-8118 |
Popis: | Aims: 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. |
Databáze: | OpenAIRE |
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