Apresentação pélvica - Construção de um modelo preditivo da via de parto
Main Author: | |
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Publication Date: | 2019 |
Other Authors: | , , , , , |
Format: | Article |
Language: | por |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | http://scielo.pt/scielo.php?script=sci_arttext&pid=S1646-58302019000400003 |
Summary: | Overview and Aims: The decision of the route of delivery in a breech presentation is one of the most controversial topics in contemporary obstetrics. The aim of this study is to develop a predictive model for vaginal breech delivery (VBD). Study Design, Population and Methods: It was performed an observational, retrospective, descriptive study based on the review of clinical records of pregnant woman with singleton gestations in breech presentation at term, with delivery between 2005 and 2015, in Hospital de Braga and Unidade Local de Saúde do Alto Minho. Potential predictors of VBD were analyzed by bivariate analysis and binary logistic regression. Results: There were included 92 VBD and 167 cesareans. The final model includes 6 variables: Maternal age, number of previous deliveries, percentile of estimated fetus weight, weight of the heaviest previous newborn, Bishops index and fetal gender. The area under the curve was 0,83, corresponding to a good discriminative ability. A probability equal to or greater than 50.3% may be an adjunct to the decision of the delivery route. Conclusions: A predictive model with good discriminative capacity was developed that can be useful helping the decision of the route of delivery in pregnant woman with singleton gestations in breech presentation at term. |
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Apresentação pélvica - Construção de um modelo preditivo da via de partoBreech presentationDeliveryObstetricsOverview and Aims: The decision of the route of delivery in a breech presentation is one of the most controversial topics in contemporary obstetrics. The aim of this study is to develop a predictive model for vaginal breech delivery (VBD). Study Design, Population and Methods: It was performed an observational, retrospective, descriptive study based on the review of clinical records of pregnant woman with singleton gestations in breech presentation at term, with delivery between 2005 and 2015, in Hospital de Braga and Unidade Local de Saúde do Alto Minho. Potential predictors of VBD were analyzed by bivariate analysis and binary logistic regression. Results: There were included 92 VBD and 167 cesareans. The final model includes 6 variables: Maternal age, number of previous deliveries, percentile of estimated fetus weight, weight of the heaviest previous newborn, Bishops index and fetal gender. The area under the curve was 0,83, corresponding to a good discriminative ability. A probability equal to or greater than 50.3% may be an adjunct to the decision of the delivery route. Conclusions: A predictive model with good discriminative capacity was developed that can be useful helping the decision of the route of delivery in pregnant woman with singleton gestations in breech presentation at term.Euromédice, Edições Médicas Lda.2019-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articletext/htmlhttp://scielo.pt/scielo.php?script=sci_arttext&pid=S1646-58302019000400003Acta Obstétrica e Ginecológica Portuguesa v.13 n.4 2019reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAPporhttp://scielo.pt/scielo.php?script=sci_arttext&pid=S1646-58302019000400003Trocado,VeraMota,Vanessa daGomes,MarinaPereira,JoanaReis,IsabelPinheiro,PaulaNogueira-Silva,Cristinainfo:eu-repo/semantics/openAccess2024-02-06T17:21:46Zoai:scielo:S1646-58302019000400003Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T13:09:10.492941Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
dc.title.none.fl_str_mv |
Apresentação pélvica - Construção de um modelo preditivo da via de parto |
title |
Apresentação pélvica - Construção de um modelo preditivo da via de parto |
spellingShingle |
Apresentação pélvica - Construção de um modelo preditivo da via de parto Trocado,Vera Breech presentation Delivery Obstetrics |
title_short |
Apresentação pélvica - Construção de um modelo preditivo da via de parto |
title_full |
Apresentação pélvica - Construção de um modelo preditivo da via de parto |
title_fullStr |
Apresentação pélvica - Construção de um modelo preditivo da via de parto |
title_full_unstemmed |
Apresentação pélvica - Construção de um modelo preditivo da via de parto |
title_sort |
Apresentação pélvica - Construção de um modelo preditivo da via de parto |
author |
Trocado,Vera |
author_facet |
Trocado,Vera Mota,Vanessa da Gomes,Marina Pereira,Joana Reis,Isabel Pinheiro,Paula Nogueira-Silva,Cristina |
author_role |
author |
author2 |
Mota,Vanessa da Gomes,Marina Pereira,Joana Reis,Isabel Pinheiro,Paula Nogueira-Silva,Cristina |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Trocado,Vera Mota,Vanessa da Gomes,Marina Pereira,Joana Reis,Isabel Pinheiro,Paula Nogueira-Silva,Cristina |
dc.subject.por.fl_str_mv |
Breech presentation Delivery Obstetrics |
topic |
Breech presentation Delivery Obstetrics |
description |
Overview and Aims: The decision of the route of delivery in a breech presentation is one of the most controversial topics in contemporary obstetrics. The aim of this study is to develop a predictive model for vaginal breech delivery (VBD). Study Design, Population and Methods: It was performed an observational, retrospective, descriptive study based on the review of clinical records of pregnant woman with singleton gestations in breech presentation at term, with delivery between 2005 and 2015, in Hospital de Braga and Unidade Local de Saúde do Alto Minho. Potential predictors of VBD were analyzed by bivariate analysis and binary logistic regression. Results: There were included 92 VBD and 167 cesareans. The final model includes 6 variables: Maternal age, number of previous deliveries, percentile of estimated fetus weight, weight of the heaviest previous newborn, Bishops index and fetal gender. The area under the curve was 0,83, corresponding to a good discriminative ability. A probability equal to or greater than 50.3% may be an adjunct to the decision of the delivery route. Conclusions: A predictive model with good discriminative capacity was developed that can be useful helping the decision of the route of delivery in pregnant woman with singleton gestations in breech presentation at term. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-12-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://scielo.pt/scielo.php?script=sci_arttext&pid=S1646-58302019000400003 |
url |
http://scielo.pt/scielo.php?script=sci_arttext&pid=S1646-58302019000400003 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
http://scielo.pt/scielo.php?script=sci_arttext&pid=S1646-58302019000400003 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Euromédice, Edições Médicas Lda. |
publisher.none.fl_str_mv |
Euromédice, Edições Médicas Lda. |
dc.source.none.fl_str_mv |
Acta Obstétrica e Ginecológica Portuguesa v.13 n.4 2019 reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia instacron:RCAAP |
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FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
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RCAAP |
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RCAAP |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
collection |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
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info@rcaap.pt |
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