Cross-validated prediction model for severe adverse neonatal outcomes in a term, non-anomalous, singleton cohort
Cross-validated prediction model for severe adverse neonatal outcomes in a term, non-anomalous, singleton cohort
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DOI：
10.1136/bmjpo-2018-000424
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发表时间：
2019-06-01
影响因子：
2.6
通讯作者：
Kumar, Sailesh
中科院分区：
文献类型：
--
作者：
Flatley, Christopher;Gibbons, Kristen;Kumar, Sailesh
目的建立一个预测足月儿严重不良新生儿结局复合指标（佐野）的模型。混合效应广义线性模型用于建模。使用K折交叉验证技术进行内部验证。设置这是一项针对2010年1月至2017年4月期间在澳大利亚布里斯班的Mater Mother's Hospital出生的女性的研究。患者我们纳入了所有足月、非异常单胎妊娠，这些妊娠在妊娠36至38周之间进行了超声检查，并记录了脐动脉搏动指数，主要结果测量佐野的组成部分包括：严重动脉酸中毒，新生儿重症监护室入院，Apgar评分，
Objective The aim of this study was to develop a predictive model using maternal, intrapartum and ultrasound variables for a composite of severe adverse neonatal outcomes (SANO) in term infants.Design Prospectively collected observational study. Mixed effects generalised linear models were used for modelling. Internal validation was performed using the K-fold cross-validation technique.Setting This was a study of women that birthed at the Mater Mother's Hospital in Brisbane, Australia between January 2010 and April 2017.Patients We included all term, non-anomalous singleton pregnancies that had an ultrasound performed between 36 and 38weeks gestation and had recordings for the umbilical artery pulsatility index, middle cerebral artery pulsatility index and the estimated fetal weight (EFW).Main outcome measures The components of the SANO were: severe acidosis arterial, admission to the neonatal intensive care unit, Apgar score of