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Prediction of Retinopathy of Prematurity Using the Screening Algorithm WINROP in a Mexican Population of Preterm Infants

Prediction of Retinopathy of Prematurity Using the Screening Algorithm WINROP in a Mexican... CLINICAL SCIENCES Prediction of Retinopathy of Prematurity Using the Screening Algorithm WINROP in a Mexican Population of Preterm Infants Luz Consuelo Zepeda-Romero, MD, MSc; Anna-Lena Ha˚rd, MD, PhD; Larissa Maria Gomez-Ruiz, MD; Jose Alfonso Gutierrez-Padilla, MD, MSc; Eusebio Angulo-Castellanos, MD; Juan Carlos Barrera-de-Leon, MD, PhD; Juan Manuel Ramirez-Valdivia, MD; Cesareo Gonzalez-Bernal, MD; Claudia Ivette Valtierra-Santiago, MD; Esperanza Garnica-Garcia, MD; Chatarina Lo¨fqvist, PhD; Ann Hellstro¨m, MD, PhD Objective: To retrospectively validate the WINROP WINROP algorithm correctly identified type 1 ROP in (weight, insulin-like growth factor I, neonatal, retinopa- 84.7% of very preterm infants but in only 5.3% of mod- thy of prematurity [ROP]) algorithm in identification of erately preterm infants. For infants with GA less than 32 type 1 ROP in a Mexican population of preterm infants. weeks, the specificity was 26.6%, and for those with GA 32 weeks or more, it was 88.3%. Methods: In infants admitted to the neonatal intensive care unit at Hospital Civil de Guadalajara from 2005 to 2010, Conclusions: In this Mexican population of preterm in- weight measurements had been recorded once weekly for fants, WINROP detected type 1 ROP early in 84.7% of 192 very preterm infants (gestational age [GA]32 weeks) very preterm infants http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png JAMA Ophthalmology American Medical Association

Prediction of Retinopathy of Prematurity Using the Screening Algorithm WINROP in a Mexican Population of Preterm Infants

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References (25)

Publisher
American Medical Association
Copyright
Copyright 2012 American Medical Association. All Rights Reserved. Applicable FARS/DFARS Restrictions Apply to Government Use.
ISSN
2168-6165
eISSN
2168-6173
DOI
10.1001/archophthalmol.2012.215
pmid
22801831
Publisher site
See Article on Publisher Site

Abstract

CLINICAL SCIENCES Prediction of Retinopathy of Prematurity Using the Screening Algorithm WINROP in a Mexican Population of Preterm Infants Luz Consuelo Zepeda-Romero, MD, MSc; Anna-Lena Ha˚rd, MD, PhD; Larissa Maria Gomez-Ruiz, MD; Jose Alfonso Gutierrez-Padilla, MD, MSc; Eusebio Angulo-Castellanos, MD; Juan Carlos Barrera-de-Leon, MD, PhD; Juan Manuel Ramirez-Valdivia, MD; Cesareo Gonzalez-Bernal, MD; Claudia Ivette Valtierra-Santiago, MD; Esperanza Garnica-Garcia, MD; Chatarina Lo¨fqvist, PhD; Ann Hellstro¨m, MD, PhD Objective: To retrospectively validate the WINROP WINROP algorithm correctly identified type 1 ROP in (weight, insulin-like growth factor I, neonatal, retinopa- 84.7% of very preterm infants but in only 5.3% of mod- thy of prematurity [ROP]) algorithm in identification of erately preterm infants. For infants with GA less than 32 type 1 ROP in a Mexican population of preterm infants. weeks, the specificity was 26.6%, and for those with GA 32 weeks or more, it was 88.3%. Methods: In infants admitted to the neonatal intensive care unit at Hospital Civil de Guadalajara from 2005 to 2010, Conclusions: In this Mexican population of preterm in- weight measurements had been recorded once weekly for fants, WINROP detected type 1 ROP early in 84.7% of 192 very preterm infants (gestational age [GA]32 weeks) very preterm infants

Journal

JAMA Ophthalmology – American Medical Association

Published: Jun 1, 2012

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