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@article{1376902,
author = {Timkovič, Juraj and Pokrývková, Martina and Janurová, Kateřina and Bařinová, Denisa and Poláčková, Renáta and Mašek, Petr},
article_location = {Olomouc},
article_number = {1},
doi = {http://dx.doi.org/10.5507/bp.2016.061},
keywords = {retinopathy of prematurity;WinROP system;early diagnosis of ROP;ROP prediction},
language = {eng},
issn = {1213-8118},
journal = {Biomedical Papers of the Faculty of Medicine of Palacký University, Olomouc, Czech Republic},
title = {Evaluation of the WinROP system for identifying retinopathy of prematurity in czech preterm infants},
volume = {161},
year = {2017}
}
TY - JOUR
ID - 1376902
AU - Timkovič, Juraj - Pokrývková, Martina - Janurová, Kateřina - Bařinová, Denisa - Poláčková, Renáta - Mašek, Petr
PY - 2017
TI - Evaluation of the WinROP system for identifying retinopathy of prematurity in czech preterm infants
JF - Biomedical Papers of the Faculty of Medicine of Palacký University, Olomouc, Czech Republic
VL - 161
IS - 1
SP - 111 - 116
EP - 111 - 116
PB - Palacký University
SN - 12138118
KW - retinopathy of prematurity;WinROP system;early diagnosis of ROP;ROP prediction
N2 - 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.
ER -
TIMKOVIČ, Juraj, Martina POKRÝVKOVÁ, Kateřina JANUROVÁ, Denisa BAŘINOVÁ, Renáta POLÁČKOVÁ and Petr MAŠEK. Evaluation of the WinROP system for identifying retinopathy of prematurity in czech preterm infants. \textit{Biomedical Papers of the Faculty of Medicine of Palacký University, Olomouc, Czech Republic}. Olomouc: Palacký University, 2017, vol.~161, No~1, p.~111 - 116. ISSN~1213-8118. Available from: https://dx.doi.org/10.5507/bp.2016.061.
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