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首页> 外文期刊>Clinics in perinatology >Algorithms for the Prediction of Retinopathy of Prematurity Based on Postnatal Weight Gain
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Algorithms for the Prediction of Retinopathy of Prematurity Based on Postnatal Weight Gain

机译:基于产后体重增加的早产儿视网膜病变的预测算法

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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.
机译:当前的ROP筛查指南代表了一个简单的风险模型,具有两个二分法因素,即出生体重和出生时的胎龄。开拓性工作表明,跟踪出生后体重增加(低胰岛素样生长因子1的替代物)可以捕获许多其他ROP危险因素的影响并改善风险预测。与目前的指南相比,包括体重增加的模型,例如WINROP,ROPScore和CHOP ROP,已经证明了准确的ROP风险评估以及ROP检查的潜在减少。但是,需要进行更大的研究,并且在新生儿保健系统不断发展的国家中,推广性受到限制。

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