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WINROP identifies severe retinopathy of prematurity at an early stage in a nation-based cohort of extremely preterm infants

Journal article
Authors Pia Lundgren
E. Stoltz Sjostrom
M. Domellof
K. Kallen
G. Holmstrom
Anna-Lena Hård
L. E. Smith
Chatarina Löfqvist
Ann Hellström
Published in PLoS ONE
Volume 8
Issue 9
Pages e73256
ISSN 1932-6203
Publication year 2013
Published at Institute of Neuroscience and Physiology, Department of Audiology, Logopedics, Occupational Therapy & Physiotherapy
Institute of Neuroscience and Physiology, Department of Clinical Neuroscience and Rehabilitation
Pages e73256
Language en
Links dx.doi.org/10.1371/journal.pone.007...
Subject categories Ophthalmology

Abstract

OBJECTIVE: To evaluate the ability of a postnatal weight-gain algorithm (WINROP) to identify sight-threatening retinopathy of prematurity (ROP type 1) in a nation-based extremely preterm infant cohort. METHODS: This study enrolled all 707 live-born extremely preterm (gestational age [GA] <27 weeks) infants, born 2004-2007 in Sweden; the Extremely preterm Infants in Sweden Study (EXPRESS). WINROP analysis was performed retrospectively in 407 of the infants using weekly weight gain to assess the preterm infant's risk of developing ROP type 1 requiring treatment. GA, birthweight (BW), and weekly postnatal weight measurements were entered into WINROP. WINROP signals with an alarm to indicate if the preterm infant is at risk for ROP type 1. RESULTS: In this extremely preterm population, WINROP correctly identified 96% (45/47) of the infants who required treatment for ROP type 1. The median time from alarm to treatment was 9 weeks (range, 4-20 weeks). CONCLUSIONS: WINROP, an online surveillance system using weekly weight gain, identified extremely preterm infants at risk for ROP type 1 requiring treatment at an early stage and with high sensitivity in a Swedish nation-based cohort.

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