Rey H R, James L S, Wiele R V
Med Instrum. 1979 Nov-Dec;13(6):337-43.
A comprehensive computerized perinatal data management system was used to acquire and process FHR data and to link this information to a set of control and outcome variable for 1000 deliveries. Multivariate correlation analyses and stepwise linear regression techniques were used to study the interrelationships between risk factors of pregnancy and labor, monitored data, obstetric interventions, and outcome. It was found that while some FHR characteristics, such as moderate-to-severe bradycardia, lack of beat-to-beat variability, and severe variable decelerations were significantly associated with poor outcome, others, such as accelerations, early decelerations, mild bradycardia, and mild-to-moderate tachycardia, were positively correlated with good outcome. Several statistical models for outcome prediction were developed using FHR data alone and also in conjunction with small subsets of control variables.
使用一个全面的计算机化围产期数据管理系统来获取和处理胎儿心率（FHR）数据，并将这些信息与1000例分娩的一组对照和结局变量相关联。采用多变量相关分析和逐步线性回归技术来研究妊娠和分娩风险因素、监测数据、产科干预措施与结局之间的相互关系。结果发现，虽然一些FHR特征，如中度至重度心动过缓、缺乏逐搏变异性和严重变异减速与不良结局显著相关，但其他特征，如加速、早期减速、轻度心动过缓以及轻度至中度心动过速与良好结局呈正相关。仅使用FHR数据以及结合少量对照变量子集开发了几种结局预测统计模型。
