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Predicting the success of vaginal birth after caesarean delivery: a retrospective cohort study in China

OBJECTIVES: To develop a nomogram to predict the likelihood of vaginal birth after caesarean section (VBAC) among women after a previous caesarean section (CS). DESIGN: A retrospective cohort study. SETTING: Two secondary hospitals in Guangdong Province, China. PARTICIPANTS: Inclusion criteria were...

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Autores principales: Li, Yun-Xiu, Bai, Zhi, Long, Da-Jian, Wang, Hai-Bo, Wu, Yang-Feng, Reilly, Kathleen H, Huang, Su-Ran, Ji, Yan-Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6538023/
https://www.ncbi.nlm.nih.gov/pubmed/31129593
http://dx.doi.org/10.1136/bmjopen-2018-027807
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author Li, Yun-Xiu
Bai, Zhi
Long, Da-Jian
Wang, Hai-Bo
Wu, Yang-Feng
Reilly, Kathleen H
Huang, Su-Ran
Ji, Yan-Jie
author_facet Li, Yun-Xiu
Bai, Zhi
Long, Da-Jian
Wang, Hai-Bo
Wu, Yang-Feng
Reilly, Kathleen H
Huang, Su-Ran
Ji, Yan-Jie
author_sort Li, Yun-Xiu
collection PubMed
description OBJECTIVES: To develop a nomogram to predict the likelihood of vaginal birth after caesarean section (VBAC) among women after a previous caesarean section (CS). DESIGN: A retrospective cohort study. SETTING: Two secondary hospitals in Guangdong Province, China. PARTICIPANTS: Inclusion criteria were as follows: pregnant women with singleton fetus, age ≥18 years, had a history of previous CS and scheduled for trial of labour after caesarean delivery (TOLAC). Patients with any of the following were excluded from the study: preterm labour (gestational age <37 weeks), two or more CSs, contradictions for vaginal birth, history of other uterine incision such as myomectomy, and incomplete medical records. PRIMARY OUTCOME MEASURE: The primary outcome was VBAC, which was retrospectively abstracted from computerised medical records by clinical staff. RESULTS: Of the women who planned for TOLAC, 84.0% (1686/2006) had VBAC. Gestational age, history of vaginal delivery, estimated birth weight, body mass index, spontaneous onset of labour, cervix Bishop score and rupture of membranes were independently associated with VBAC. An area under the receiver operating characteristic curve (AUC) in the prediction model was 0.77 (95% CI 0.73 to 0.81) in the training cohort. The validation set showed good discrimination with an AUC of 0.70 (95% CI 0.60 to 0.79). CONCLUSIONS: TOLAC may be a potential strategy for decreasing the CS rate in China. The validated nomogram to predict success of VBAC could be a potential tool for VBAC counselling.
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spelling pubmed-65380232019-06-12 Predicting the success of vaginal birth after caesarean delivery: a retrospective cohort study in China Li, Yun-Xiu Bai, Zhi Long, Da-Jian Wang, Hai-Bo Wu, Yang-Feng Reilly, Kathleen H Huang, Su-Ran Ji, Yan-Jie BMJ Open Obstetrics and Gynaecology OBJECTIVES: To develop a nomogram to predict the likelihood of vaginal birth after caesarean section (VBAC) among women after a previous caesarean section (CS). DESIGN: A retrospective cohort study. SETTING: Two secondary hospitals in Guangdong Province, China. PARTICIPANTS: Inclusion criteria were as follows: pregnant women with singleton fetus, age ≥18 years, had a history of previous CS and scheduled for trial of labour after caesarean delivery (TOLAC). Patients with any of the following were excluded from the study: preterm labour (gestational age <37 weeks), two or more CSs, contradictions for vaginal birth, history of other uterine incision such as myomectomy, and incomplete medical records. PRIMARY OUTCOME MEASURE: The primary outcome was VBAC, which was retrospectively abstracted from computerised medical records by clinical staff. RESULTS: Of the women who planned for TOLAC, 84.0% (1686/2006) had VBAC. Gestational age, history of vaginal delivery, estimated birth weight, body mass index, spontaneous onset of labour, cervix Bishop score and rupture of membranes were independently associated with VBAC. An area under the receiver operating characteristic curve (AUC) in the prediction model was 0.77 (95% CI 0.73 to 0.81) in the training cohort. The validation set showed good discrimination with an AUC of 0.70 (95% CI 0.60 to 0.79). CONCLUSIONS: TOLAC may be a potential strategy for decreasing the CS rate in China. The validated nomogram to predict success of VBAC could be a potential tool for VBAC counselling. BMJ Publishing Group 2019-05-24 /pmc/articles/PMC6538023/ /pubmed/31129593 http://dx.doi.org/10.1136/bmjopen-2018-027807 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Obstetrics and Gynaecology
Li, Yun-Xiu
Bai, Zhi
Long, Da-Jian
Wang, Hai-Bo
Wu, Yang-Feng
Reilly, Kathleen H
Huang, Su-Ran
Ji, Yan-Jie
Predicting the success of vaginal birth after caesarean delivery: a retrospective cohort study in China
title Predicting the success of vaginal birth after caesarean delivery: a retrospective cohort study in China
title_full Predicting the success of vaginal birth after caesarean delivery: a retrospective cohort study in China
title_fullStr Predicting the success of vaginal birth after caesarean delivery: a retrospective cohort study in China
title_full_unstemmed Predicting the success of vaginal birth after caesarean delivery: a retrospective cohort study in China
title_short Predicting the success of vaginal birth after caesarean delivery: a retrospective cohort study in China
title_sort predicting the success of vaginal birth after caesarean delivery: a retrospective cohort study in china
topic Obstetrics and Gynaecology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6538023/
https://www.ncbi.nlm.nih.gov/pubmed/31129593
http://dx.doi.org/10.1136/bmjopen-2018-027807
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