Role of ante-partum ultrasound in predicting vaginal birth after cesarean section: A prospective cohort study.

Antepartum ultrasound Cervical length Fetal head circumference Prediction nomograms Sub-pubic angle Trial of labor after caesarean Vaginal birth after caesarean section

Journal

European journal of obstetrics, gynecology, and reproductive biology
ISSN: 1872-7654
Titre abrégé: Eur J Obstet Gynecol Reprod Biol
Pays: Ireland
ID NLM: 0375672

Informations de publication

Date de publication:
Jan 2021
Historique:
received: 17 05 2020
revised: 13 11 2020
accepted: 19 11 2020
pubmed: 7 12 2020
medline: 15 5 2021
entrez: 6 12 2020
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 33279807
pii: S0301-2115(20)30770-3
doi: 10.1016/j.ejogrb.2020.11.056
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

385-390

Informations de copyright

Copyright © 2020 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors report no declarations of interest.

Auteurs

Giuseppe Rizzo (G)

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. Electronic address: giuseppe.rizzo@uniroma2.it.

Victoria Bitsadze (V)

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.

Jamilya Khizroeva (J)

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.

Ilenia Mappa (I)

Università di Roma Tor Vergata, Division of Maternal Fetal Medicine, Ospedale Cristo Re, Roma, Italy.

Alexander Makatsariya (A)

The First I.M. Sechenov Moscow State Medical University, Department of Obstetric-Section and Gynecology, Moscow, Russia.

Marco Liberati (M)

Department of Obstetric-Section and Gynecology, University of Chieti, Chieti, Italy.

Francesco D'Antonio (F)

Department of Obstetric-Section and Gynecology, University of Chieti, Chieti, Italy.

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