Algorithms for the Prediction of Retinopathy of Prematurity Based on Postnatal Weight Gain

被引:63
作者
Binenbaum, Gil [1 ]
机构
[1] Childrens Hosp Philadelphia, Div Ophthalmol, Philadelphia, PA 19104 USA
关键词
Infant; Nomogram; Prediction model; Retinopathy of prematurity; Risk model; ENDOTHELIAL GROWTH-FACTOR; PRETERM INFANTS; BIRTH-WEIGHT; RETINAL NEOVASCULARIZATION; BINDING-PROTEINS; PROGNOSTIC MODELS; IGF-I; RISK; POPULATION; OXYGEN;
D O I
10.1016/j.clp.2013.02.004
中图分类号
R71 [妇产科学];
学科分类号
100211 ;
摘要
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.
引用
收藏
页码:261 / +
页数:11
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