Evolving Frameworks for the Foundation and Practice of Electronic Fetal Monitoring.

IF 1.7
Mark I Evans, David W Britt, Shara M Evans, Lawrence D Devoe
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Abstract

Since the 1970s, electronic fetal monitoring (EFM) also known as cardiotocography (CTG) has been used extensively in labor around the world, despite its known failure to help prevent many babies from developing neonatal encephalopathy and cerebral palsy. Part of EFM's poor performance with respect to these outcomes arises from a fundamental misunderstanding of the differences between screening and diagnostic tests, subjective classifications of fetal heart rate (FHR) patterns that lead to large inter-observer variability in its interpretation, failure to appreciate early stages of fetal compromise, and poor statistical modeling for its use as a screening test. We have developed a new approach to the practice and interpretation of EFM called the fetal reserve index (FRI) which does the following: (1) breaking FHR components down into 4 components, (heart rate, variability, accelerations, and decelerations); (2) contextualizing the metrics by adding increased uterine activity; (3) adding specific maternal, fetal, and obstetric risk factors. The result is an eight-point scoring metric that, when directly compared with current American College of Obstetricians and Gynecologists EFM categories, even in version 1.0 with equal weighting of variables, shows that the FRI has performed much better for identifying cases at risk before damage had occurred, reducing the need for emergency deliveries, and lowering overall Cesarean delivery rates. With increased data, we expect further refinements in the specifics of scoring that will allow even earlier detection of compromise in labor.

胎儿电子监护的基础和实践的发展框架。
自20世纪70年代以来,电子胎儿监测(EFM)也被称为心脏造影(CTG)在世界各地的分娩中广泛使用,尽管它无法帮助预防许多婴儿患上新生儿脑病和脑瘫。EFM在这些结果方面表现不佳的部分原因是对筛查和诊断测试之间差异的根本误解,胎儿心率(FHR)模式的主观分类导致其解释在观察者之间存在很大差异,未能了解胎儿损害的早期阶段,以及将其用作筛查测试的统计模型不完善。我们开发了一种新的方法来实践和解释EFM,称为胎儿储备指数(FRI),它做以下工作:(1)将FHR成分分解为4个成分(心率,变异性,加速和减速);(2)通过增加子宫活动来将指标置于情境中;(3)添加特定的母体、胎儿和产科危险因素。结果是一个8分的评分指标,当直接与当前的美国妇产科学院EFM分类进行比较时,即使在变量权重相同的1.0版本中,FRI在识别损害发生前的危险病例方面表现得更好,减少了紧急分娩的需要,降低了剖宫产率。随着数据的增加,我们期望在评分的细节上进一步改进,以便更早地发现劳动中的妥协。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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