Predictive algorithms for early detection of retinopathy of prematurity

Purpose To evaluate sensitivity, specificity and the safest cut‐offs of three predictive algorithms (WINROP, ROPScore and CHOP ROP) for retinopathy of prematurity (ROP). Methods A retrospective study was conducted in three centres from 2012 to 2014; 445 preterms with gestational age (GA) ≤ 30 weeks...

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Vydané v:	Acta ophthalmologica (Oxford, England) Ročník 95; číslo 2; s. 158 - 164
Hlavní autori:	Piermarocchi, Stefano, Bini, Silvia, Martini, Ferdinando, Berton, Marianna, Lavini, Anna, Gusson, Elena, Marchini, Giorgio, Padovani, Ezio Maria, Macor, Sara, Pignatto, Silvia, Lanzetta, Paolo, Cattarossi, Luigi, Baraldi, Eugenio, Lago, Paola
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	England Wiley Subscription Services, Inc 01.03.2017
Predmet:	Algorithms Babies CHOP ROP Early Diagnosis Female Gestational Age Humans Incidence Infant, Newborn Italy - epidemiology Male Neonatal Screening - methods Ophthalmology Ophthalmoscopy - methods Retina Retina - diagnostic imaging retinopathy of prematurity Retinopathy of Prematurity - diagnosis Retinopathy of Prematurity - epidemiology Retrospective Studies Risk Factors ROC Curve RORScore WINROP WINROP algorithms CHOP ROP retinopathy of prematurity RORScore
ISSN:	1755-375X, 1755-3768
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