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Mode of birth after caesarean section: individual prediction scores using Scottish population data

BACKGROUND: Rising caesarean section (CS) rates are a global health concern. Contemporary data indicates that almost 50% of CS are electively performed, with a high proportion of these being a repeat procedure. Vaginal birth after caesarean (VBAC) is recognised as a safe way to give birth in develop...

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Autores principales: Denham, Sara Helen, Humphrey, Tracy, deLabrusse, Claire, Dougall, Nadine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6396527/
https://www.ncbi.nlm.nih.gov/pubmed/30819140
http://dx.doi.org/10.1186/s12884-019-2226-6
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author Denham, Sara Helen
Humphrey, Tracy
deLabrusse, Claire
Dougall, Nadine
author_facet Denham, Sara Helen
Humphrey, Tracy
deLabrusse, Claire
Dougall, Nadine
author_sort Denham, Sara Helen
collection PubMed
description BACKGROUND: Rising caesarean section (CS) rates are a global health concern. Contemporary data indicates that almost 50% of CS are electively performed, with a high proportion of these being a repeat procedure. Vaginal birth after caesarean (VBAC) is recognised as a safe way to give birth in developed countries. UK national maternity policy and worldwide professional guidance supports shared decision-making about mode of birth with women following CS. Evidence suggests that women want individualised information, particularly about their likeilihood of successful VBAC, to enable them to participate in the decision making process. This study aimed to identify characteristics that could inform a predictive model which would allow women to receive personalised and clinically specific information about their likelihood of achieving a successful VBAC in subsequent pregnancies. METHODS: An observational study using anonymised clinical data extracted from a detailed, comprehensive socio-demographic and clinical dataset. All women who attempted a singleton term VBAC between 2000 and 2012 were included. Data were analysed using both logistic regression and Bayesian statistical techniques to identify clinical and demographic variables predictive of successful VBAC. RESULTS: Variables significantly associated with VBAC were: ethnicity (p = 0.011), maternal obstetric complications (p < 0.001), previous vaginal birth (p = < 0.001), antepartum haemorrhage (p = 0.005), pre-pregnancy BMI (p < 0.001) and a previous second stage CS (p < 0.001). CONCLUSIONS: By using current literature, expert clinical opinion and having access to clinically detailed variables, this study has identified a new significant characteristic. Women who had a previous CS in the second stage of labour are more likely to have a successful VBAC. This predictor may have international significance for women and clinicians in shared VBAC decision-making. Further research is planned to validate this model on a larger national sample leading to further development of the nomogram tool developed in this study for use in clinical practice to assist women and clinicians in the decision-making process about mode of birth after CS.
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spelling pubmed-63965272019-03-13 Mode of birth after caesarean section: individual prediction scores using Scottish population data Denham, Sara Helen Humphrey, Tracy deLabrusse, Claire Dougall, Nadine BMC Pregnancy Childbirth Research Article BACKGROUND: Rising caesarean section (CS) rates are a global health concern. Contemporary data indicates that almost 50% of CS are electively performed, with a high proportion of these being a repeat procedure. Vaginal birth after caesarean (VBAC) is recognised as a safe way to give birth in developed countries. UK national maternity policy and worldwide professional guidance supports shared decision-making about mode of birth with women following CS. Evidence suggests that women want individualised information, particularly about their likeilihood of successful VBAC, to enable them to participate in the decision making process. This study aimed to identify characteristics that could inform a predictive model which would allow women to receive personalised and clinically specific information about their likelihood of achieving a successful VBAC in subsequent pregnancies. METHODS: An observational study using anonymised clinical data extracted from a detailed, comprehensive socio-demographic and clinical dataset. All women who attempted a singleton term VBAC between 2000 and 2012 were included. Data were analysed using both logistic regression and Bayesian statistical techniques to identify clinical and demographic variables predictive of successful VBAC. RESULTS: Variables significantly associated with VBAC were: ethnicity (p = 0.011), maternal obstetric complications (p < 0.001), previous vaginal birth (p = < 0.001), antepartum haemorrhage (p = 0.005), pre-pregnancy BMI (p < 0.001) and a previous second stage CS (p < 0.001). CONCLUSIONS: By using current literature, expert clinical opinion and having access to clinically detailed variables, this study has identified a new significant characteristic. Women who had a previous CS in the second stage of labour are more likely to have a successful VBAC. This predictor may have international significance for women and clinicians in shared VBAC decision-making. Further research is planned to validate this model on a larger national sample leading to further development of the nomogram tool developed in this study for use in clinical practice to assist women and clinicians in the decision-making process about mode of birth after CS. BioMed Central 2019-02-28 /pmc/articles/PMC6396527/ /pubmed/30819140 http://dx.doi.org/10.1186/s12884-019-2226-6 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Denham, Sara Helen
Humphrey, Tracy
deLabrusse, Claire
Dougall, Nadine
Mode of birth after caesarean section: individual prediction scores using Scottish population data
title Mode of birth after caesarean section: individual prediction scores using Scottish population data
title_full Mode of birth after caesarean section: individual prediction scores using Scottish population data
title_fullStr Mode of birth after caesarean section: individual prediction scores using Scottish population data
title_full_unstemmed Mode of birth after caesarean section: individual prediction scores using Scottish population data
title_short Mode of birth after caesarean section: individual prediction scores using Scottish population data
title_sort mode of birth after caesarean section: individual prediction scores using scottish population data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6396527/
https://www.ncbi.nlm.nih.gov/pubmed/30819140
http://dx.doi.org/10.1186/s12884-019-2226-6
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