Literature DB >> 26008180

A model to predict vaginal delivery in nulliparous women based on maternal characteristics and intrapartum ultrasound.

Tørbjorn Moe Eggebø1, Charlotte Wilhelm-Benartzi2, Wassim A Hassan3, Sana Usman4, Kjell A Salvesen5, Christoph C Lees6.   

Abstract

OBJECTIVE: Accurate prediction of whether a nulliparous woman will have a vaginal delivery would be a major advance in obstetrics. The objective of the study was to develop such a model based on maternal characteristics and the results of intrapartum ultrasound. STUDY
DESIGN: One hundred twenty-two nulliparous women in the first stage of labor were included in a prospective observational 2-centre study. Labor was classified as prolonged according to the respective countries' national guidelines. Fetal head position was assessed with transabdominal ultrasound and cervical dilatation by digital examination, and transperineal ultrasound was used to determine head-perineum distance and the presence of caput succedaneum. The subjects were divided into a testing set (n = 61) and a validation set (n = 61) and a risk score derived using multivariable logistic regression with vaginal birth as the outcome, which was dichotomized into no/cesarean delivery and yes/vaginal birth. Covariates included head-perineum distance, caput succedaneum, and occiput posterior position, which were dichotomized respectively into the following: ≤40 mm, >40 mm, <10 mm, ≥10 mm, and no, yes. Maternal age, gestational age, and maternal body mass index were included as continuous covariates.
RESULTS: Dichotomized score is significantly associated with vaginal delivery (P = .03). Women with a score above the median had greater than 10 times the odds of having a vaginal delivery as compared with those with a score below the median. The receiver-operating characteristic curve showed an area under the curve of 0.853 (95% confidence interval, 0.678-1.000).
CONCLUSION: A risk score based on maternal characteristics and intrapartum findings can predict vaginal delivery in nulliparous women in the first stage of labor.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  cesarean delivery; head-perineum distance; prediction model; transperineal

Mesh:

Year:  2015        PMID: 26008180     DOI: 10.1016/j.ajog.2015.05.044

Source DB:  PubMed          Journal:  Am J Obstet Gynecol        ISSN: 0002-9378            Impact factor:   8.661


  4 in total

1.  The views of pregnant women, midwives, and a women's panel on intrapartum ultrasound research: A pilot study.

Authors:  Michael Wilkinson; Sana Usman; Helen Barton; Christoph C Lees
Journal:  Australas J Ultrasound Med       Date:  2019-06-19

2.  Multitask Deep Neural Network for the Fully Automatic Measurement of the Angle of Progression.

Authors:  Yaosheng Lu; Dengjiang Zhi; Minghong Zhou; Fan Lai; Gaowen Chen; Zhanhong Ou; Rongdan Zeng; Shun Long; Ruiyu Qiu; Mengqiang Zhou; Xiaosong Jiang; Huijin Wang; Jieyun Bai
Journal:  Comput Math Methods Med       Date:  2022-09-02       Impact factor: 2.809

3.  The Relationship between Fetal Abdominal Wall Thickness and Intrapartum Complications amongst Mothers with Pregestational Type 2 Diabetes.

Authors:  E Paige Isabey; Christy L Pylypjuk
Journal:  J Diabetes Res       Date:  2021-05-31       Impact factor: 4.011

4.  Measurement of retropubic tissue thickness using intrapartum transperineal ultrasound to assess cephalopelvic disproportion.

Authors:  Chung Ming Chor; Wai Yin Winnie Chan; Wing Ting Ada Tse; Daljit Singh Sahota
Journal:  Ultrasonography       Date:  2017-08-11
  4 in total

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