Rizzo Giuseppe, Bitsadze Victoria, Khizroeva Jamilya, Mappa Ilenia, Makatsariya Alexander, Liberati Marco, D'Antonio Francesco
Università di Roma Tor Vergata, Division of Maternal Fetal Medicine, Ospedale Cristo Re, Roma, Italy; The First I.M. Sechenov Moscow State Medical University, Department of Obstetric-Section and Gynecology, Moscow, Russia.
Università di Roma Tor Vergata, Division of Maternal Fetal Medicine, Ospedale Cristo Re, Roma, Italy; The First I.M. Sechenov Moscow State Medical University, Department of Obstetric-Section and Gynecology, Moscow, Russia.
Eur J Obstet Gynecol Reprod Biol. 2021 Jan;256:385-390. doi: 10.1016/j.ejogrb.2020.11.056. Epub 2020 Nov 21.
Vaginal birth after caesarean delivery is associated with better outcomes compared to repeat caesarean section. Accurate antenatal risk stratification of women undergoing a trial of labor after caesarean section is crucial in order to maximize perinatal and maternal outcomes. The primary aim of this study was to explore the role of antepartum ultrasound in predicting the probability of vaginal birth in women attempting trial of labor; the secondary aim was to build a multiparametric prediction model including pregnancy and ultrasound characteristics able to predict vaginal birth and compare its diagnostic performance with previously developed models based exclusively upon clinical and pregnancy characteristics.
Prospective study of consecutive singleton pregnancies scheduled for trial of labor undergoing a dedicated antepartum ultrasound assessment at 36-38 weeks of gestation. Head circumference, estimated fetal weight cervical length, sub-pubic angle were recorded before the onset of labour. The obstetricians and midwives attending the delivery suite were blinded to the ultrasound findings. Multivariate logistic regression and area under the curve analyses were used to explore the strength of association and test the diagnostic accuracy of different maternal and ultrasound characteristics in predicting vaginal birth. Comparison with previously reported clinical models developed by the Maternal-Fetal Medicine Unit Network (Grobman's models) was performed using De Long analysis.
A total of 161women who underwent trial of labor were included in the study. Among them 114 (70.8 %) women had successful vaginal birth. At multivariable logistic regression analysis maternal height (adjusted odds ratio (aOR):1.24;9 5% Confidence Interval (CI)1.17-1.33), previous C-section for arrest labor (aOR:0.77; 95 %CI0.66-0.93), cervical dilation at admission (aOR:1.35 ; 95 %CI1.12-1.74), fetal head circumference (aOR:0.77 ; 5%CI0.43-0.89), subpubic angle (aOR:1.39 95 %CI1.11-1.99) and cervical length (aOR:0.82 95 % CI0.54-0.98) were independently associated with VBAC. A model integrating these variables had an area under curve of 0.839(95 % CI 0.710-0.727) for the prediction of vaginal birth, significantly higher than those achieved with intake (0.694; 95 %CI0.549-0.815; p = 0.01) and admission (0.732: 95 % CI 0.590-0.84; p = 0.04) models reported by Grobman.
Antepartum prediction of vaginal birth after a caesarean section is feasible. Fetal head circumference, subpubic angle and cervical length are independently associated and predictive of vaginal birth. Adding these variables to a multiparametric model including maternal parameters improves the diagnostic accuracy of vaginal birth compared to those based only on maternal characteristic.
与再次剖宫产相比,剖宫产术后经阴道分娩的结局更好。为使围产期和孕产妇结局最大化,对剖宫产术后进行试产的女性进行准确的产前风险分层至关重要。本研究的主要目的是探讨产前超声在预测试产女性阴道分娩可能性中的作用;次要目的是构建一个包含妊娠和超声特征的多参数预测模型,以预测阴道分娩,并将其诊断性能与之前仅基于临床和妊娠特征开发的模型进行比较。
对计划在妊娠36 - 38周进行试产并接受专门产前超声评估的连续单胎妊娠进行前瞻性研究。在分娩开始前记录头围、估计胎儿体重、宫颈长度、耻骨下角。产房的产科医生和助产士对超声检查结果不知情。采用多因素逻辑回归和曲线下面积分析来探讨关联强度,并测试不同母体和超声特征在预测阴道分娩中的诊断准确性。使用德龙分析与先前由母胎医学单位网络开发的临床模型(格罗布曼模型)进行比较。
本研究共纳入161例进行试产的女性。其中114例(70.8%)女性成功经阴道分娩。在多因素逻辑回归分析中,母体身高(调整优势比(aOR):1.24;95%置信区间(CI)1.17 - 1.33)、既往因产程停滞行剖宫产(aOR:0.77;95%CI 0.66 - 0.93)、入院时宫颈扩张情况(aOR:1.35;95%CI 1.12 - 1.74)、胎儿头围(aOR:0.77;95%CI 0.43 - 0.89)、耻骨下角(aOR:1.39;95%CI 1.11 - 1.99)和宫颈长度(aOR:0.82;95%CI 0.54 - 0.98)与剖宫产术后经阴道分娩独立相关。整合这些变量的模型在预测阴道分娩方面的曲线下面积为0.839(95%CI 0.710 - 0.727)显著高于格罗布曼报告的入院时(0.694;95%CI 0.549 - 0.815;p = 0.01)和入院时(0.732;95%CI 0.590 - 0.84;p = 0.04)模型。
剖宫产术后阴道分娩的产前预测是可行的。胎儿头围、耻骨下角和宫颈长度与阴道分娩独立相关且具有预测性。将这些变量添加到包含母体参数的多参数模型中,与仅基于母体特征的模型相比,可提高阴道分娩的诊断准确性。