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足月小于胎龄胎儿入住新生儿重症监护病房的风险:一种预测模型及内部验证

Risk of neonatal care unit admission in small for gestational age fetuses at term: a prediction model and internal validation.

作者信息

Kalafat Erkan, Morales-Rosello Jose, Thilaganathan Basky, Dhother Jasreen, Khalil Asma

机构信息

a Fetal Medicine Unit , St. George's Hospital, St. George's University of London , London , UK.

b Department of Obstetrics and Gynecology , Ankara University Faculty of Medicine , Ankara , Turkey.

出版信息

J Matern Fetal Neonatal Med. 2019 Jul;32(14):2361-2368. doi: 10.1080/14767058.2018.1437412. Epub 2018 Feb 15.

Abstract

OBJECTIVE

Small for gestational age (SGA) fetuses are at increased risk of admission to the neonatal unit, even at term. We aimed to develop and validate a predictive model for the risk of prolonged neonatal unit admission in suspected SGA fetuses at term.

METHODS

A single-center cohort study of singleton pregnancies with SGA fetus, defined as estimated fetal weight (EFW) less than the 10th centile, at term. The variables included known risk factors for neonatal unit admissions: maternal characteristics, EFW, abdominal circumference (AC), fetal Dopplers, gestational age (GA) at delivery, and intrapartum risk factors (meconium, pyrexia). Logistic regression analysis was used for model building and the prediction models were validated internally using bootstrapping.

RESULTS

Seven hundred and one SGA pregnancies at term were included; 5.9% had prolonged neonatal unit admission (>48 h). The multivariable model (AUC 0.71; 95% CI: 0.63-0.79) included GA at delivery <39 weeks (OR 2.76; 95% CI 1.23-6.04, p = .011), cerebroplacental ratio (CPR) multiples of median (MoM) (OR 0.21; 95% CI 0.05-0.79, p = .023), and EFW below the third centile (OR 2.43; 95% CI 1.26-4.68, p < .007). The combined model showed a sensitivity 30.9% (95% CI: 16.6-45.2%) for a fixed 10% false positive rate.

CONCLUSION

The prediction model shows good accuracy and good calibration for assessing the risk of neonatal unit admission in suspected SGA fetuses. It has the potential to be used for patient counseling, determining the timing of delivery and the individual risk. Brief rationale Objective: The objective of this study is to determine the factors associated with prolonged neonatal unit admissions in small for gestational age fetuses at term. What is already known: Fetal weight and Doppler parameters are associated with adverse outcome in small for gestational age fetuses. However, most studies use composite outcome criteria by combining neonatal unit admission with adverse delivery outcomes. A comprehensive model combining antenatal and intrapartum variables is also lacking.

WHAT THIS STUDY ADDS

Our model describes the association of antenatal and intrapartum variables with prolonged neonatal unit admission without using a composite adverse outcome measure. Estimated fetal weight, gestational age at delivery, and the cerebroplacental ratio can be used to estimate the risk of prolonged neonatal unit admission. The risk estimation can be useful for patient counseling and to determine the time of delivery.

摘要

目的

小于胎龄(SGA)胎儿即使足月时入住新生儿病房的风险也会增加。我们旨在开发并验证一种预测模型,以评估足月疑似SGA胎儿入住新生儿病房时间延长的风险。

方法

对足月单胎妊娠且胎儿为SGA(定义为估计胎儿体重(EFW)低于第10百分位数)的单中心队列研究。变量包括已知的新生儿病房入住风险因素:母亲特征、EFW、腹围(AC)、胎儿多普勒、分娩时的孕周(GA)以及产时风险因素(胎粪、发热)。采用逻辑回归分析进行模型构建,并使用自抽样法进行内部验证。

结果

纳入701例足月SGA妊娠;5.9%的胎儿入住新生儿病房时间延长(>48小时)。多变量模型(曲线下面积[AUC]为0.71;95%置信区间[CI]:0.63 - 0.79)包括分娩时孕周<39周(比值比[OR]为2.76;95%CI为1.23 - 6.04,p = 0.011)、脑胎盘比(CPR)中位数倍数(MoM)(OR为0.21;95%CI为0.05 - 0.79,p = 0.023)以及EFW低于第3百分位数(OR为2.43;95%CI为1.26 - 4.68,p < 0.007)。在固定假阳性率为10%时,联合模型的敏感度为30.9%(95%CI:16.6 - 45.2%)。

结论

该预测模型在评估足月疑似SGA胎儿入住新生儿病房的风险方面显示出良好的准确性和校准度。它有潜力用于患者咨询、确定分娩时间以及评估个体风险。简要理论依据 目的:本研究的目的是确定足月小于胎龄胎儿入住新生儿病房时间延长的相关因素。已知信息:胎儿体重和多普勒参数与小于胎龄胎儿的不良结局相关。然而,大多数研究通过将新生儿病房入住与不良分娩结局相结合来使用复合结局标准。也缺乏一个综合产前和产时变量的模型。

本研究的新增内容

我们的模型描述了产前和产时变量与新生儿病房入住时间延长之间的关联,且未使用复合不良结局指标。估计胎儿体重、分娩时孕周和脑胎盘比可用于估计新生儿病房入住时间延长的风险。风险评估有助于患者咨询和确定分娩时间。

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