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Screening for adverse perinatal outcomes: uterine artery Doppler, cerebroplacental ratio and estimated fetal weight in low-risk women at term

机译:筛选不良围产蛋白结果:术语中子宫动脉多普勒,脑膜动脉掺单,脑膜形态比和估计低危妇女的胎儿重量

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Objective: To stratify apparently low-risk pregnant women into those who are at risk of adverse perinatal outcomes. Appropriate stratification would allow targeted prenatal and intrapartum management.Methods: This prospective, observational study included normotensive women with appropriately grown, non-anomalous, singleton pregnancies. Participants underwent fortnightly ultrasounds from 36 weeks' gestation and intrapartum and neonatal outcomes were recorded. The association between uterine artery pulsatility index (UtA-PI), the cerebroplacental ratio (CPR) and estimated fetal weight (EFW) were explored along with their screening performance for CS-IFC and CNM.Results: The final cohort included 429 women. As continuous variables, UtA-PI and the CPR were not correlated (rho=-0.05, p=.33). UtA-PI >95(th) centile and the CPR <10(th) centile were predictive of CS-IFC and CNM, with the highest sensitivity achieved by their combination (33.3%, 95% CI 11.6-55.1) for a false positive rate (FPR) of 15.8% (12.3-19.3). For CNM, the highest sensitivity (28.4%, 95% CI 18.6-38.2) and corresponding FPR (17.0%, 95% CI 13.0-20.9) was achieved by combining UtA-PI 95(th) centile, the CPR 10(th) centile and EFW 10(th) centile. EFW was the weakest of the three predictors.Conclusion: In this population, UtA-PI 95(th) centile and the CPR 10(th) centile have modest screening performance for CS-IFC and CNM.
机译:目的:将明显低风险的孕妇分层,进入受不良围产期结果的人。适当的分层将允许有针对性的产前和intapartum Management.methods:这种前瞻性,观察性研究包括适当种植,非异常,单身妊娠的正常血性妇女。记录了参与者从36周的妊娠和血腥和新生儿结果中接受了每两周的超声波。探讨了子宫动脉脉动率指数(UTA-PI),脑膜形态比(CPR)和估计胎儿重量(EFW)的关联以及CS-IFC和CNM的筛选性能:结果:最后的队列包括429名女性。作为连续变量,UTA-PI和CPR不相关(rho = -0.05,p = .33)。 UTA-PI> 95(TH)CENCILE和CPR <10(TH)CENTILE预测CS-IFC和CNM,其组合实现的最高敏感性(33.3%,95%CI 11.6-55.1),用于假阳性率(FPR)为15.8%(12.3-19.3)。对于CNM,通过组合UTA-PI 95(TH)CENTILE,CPR 10(TH)实现最高敏感性(28.4%,95%CI 18.6-38.2)和相应的FPR(17.0%,95%CI 13.0-20.9) Ceniale和EFW 10(Th)Cenialile。 EFW是三个预测因子中最弱。结论:在这个人口中,UTA-PI 95(TH)Centile和CPR 10(Th)Cenile对CS-IFC和CNM具有适度的筛选性能。

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