J 2017

Evaluation of the WinROP system for identifying retinopathy of prematurity in czech preterm infants

TIMKOVIČ, Juraj, Martina POKRÝVKOVÁ, Kateřina JANUROVÁ, Denisa BAŘINOVÁ, Renáta POLÁČKOVÁ et. al.

Základní údaje

Originální název

Evaluation of the WinROP system for identifying retinopathy of prematurity in czech preterm infants

Autoři

TIMKOVIČ, Juraj (703 Slovensko, garant, domácí), Martina POKRÝVKOVÁ (703 Slovensko), Kateřina JANUROVÁ (203 Česká republika), Denisa BAŘINOVÁ (203 Česká republika), Renáta POLÁČKOVÁ (203 Česká republika) a Petr MAŠEK (203 Česká republika)

Vydání

Biomedical Papers of the Faculty of Medicine of Palacký University, Olomouc, Czech Republic, Olomouc, Palacký University, 2017, 1213-8118

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

30207 Ophthalmology

Stát vydavatele

Česká republika

Utajení

není předmětem státního či obchodního tajemství

Impakt faktor

Impact factor: 1.087

Kód RIV

RIV/00216224:14110/17:00096381

Organizační jednotka

Lékařská fakulta

UT WoS

000398093500017

Klíčová slova česky

retinopathy of prematurity;WinROP system;early diagnosis of ROP;ROP prediction

Klíčová slova anglicky

retinopathy of prematurity;WinROP system;early diagnosis of ROP;ROP prediction

Štítky

Příznaky

Mezinárodní význam, Recenzováno
Změněno: 20. 3. 2018 15:57, Soňa Böhmová

Anotace

V originále

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.