Algorithms for the prediction of retinopathy of prematurity based on postnatal weight gain.
Publication/Presentation Date
6-1-2013
Abstract
Current ROP screening guidelines represent a simple risk model with two dichotomized factors, birth weight and gestational age at birth. Pioneering work has shown that tracking postnatal weight gain, a surrogate for low insulin-like growth factor 1, may capture the influence of many other ROP risk factors and improve risk prediction. Models including weight gain, such as WINROP, ROPScore, and CHOP ROP, have demonstrated accurate ROP risk assessment and a potentially large reduction in ROP examinations, compared to current guidelines. However, there is a need for larger studies, and generalizability is limited in countries with developing neonatal care systems.
Volume
40
Issue
2
First Page
261
Last Page
270
ISSN
1557-9840
Published In/Presented At
Binenbaum G. (2013). Algorithms for the prediction of retinopathy of prematurity based on postnatal weight gain. Clinics in perinatology, 40(2), 261–270. https://doi.org/10.1016/j.clp.2013.02.004
Disciplines
Medicine and Health Sciences | Pediatrics
PubMedID
23719309
Department(s)
Department of Pediatrics
Document Type
Article