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Brazilian Multicentre Study on Preterm Birth (EMIP): Prevalence and Factors Associated with Spontaneous Preterm Birth
BACKGROUND: Preterm birth rate is increasing and is currently a worldwide concern. The purpose of this study was to estimate the prevalence of preterm birth in a sample of health facilities in Brazil and to identify the main risk factors associated with spontaneous preterm births. METHODS AND FINDIN...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4192080/ https://www.ncbi.nlm.nih.gov/pubmed/25299699 http://dx.doi.org/10.1371/journal.pone.0109069 |
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author | Passini, Renato Cecatti, Jose G. Lajos, Giuliane J. Tedesco, Ricardo P. Nomura, Marcelo L. Dias, Tabata Z. Haddad, Samira M. Rehder, Patricia M. Pacagnella, Rodolfo C. Costa, Maria L. Sousa, Maria H. |
author_facet | Passini, Renato Cecatti, Jose G. Lajos, Giuliane J. Tedesco, Ricardo P. Nomura, Marcelo L. Dias, Tabata Z. Haddad, Samira M. Rehder, Patricia M. Pacagnella, Rodolfo C. Costa, Maria L. Sousa, Maria H. |
author_sort | Passini, Renato |
collection | PubMed |
description | BACKGROUND: Preterm birth rate is increasing and is currently a worldwide concern. The purpose of this study was to estimate the prevalence of preterm birth in a sample of health facilities in Brazil and to identify the main risk factors associated with spontaneous preterm births. METHODS AND FINDINGS: This was a multicentre cross sectional study on preterm births in 20 referral obstetric hospitals with a case-control component to identify factors associated with spontaneous preterm birth. Surveillance was implemented at all centres to identify preterm births. For eligible consenting women, data were collected through a post-delivery questionnaire completed with information from all mother-newborn medical records until death or discharge or at a maximum of 60 days post-delivery, whichever came first. The risk of spontaneous preterm birth was estimated with OR and 95%CI for several predictors. A non-conditional logistic regression analysis was then performed to identify independently associated factors. The overall prevalence of preterm birth was 12.3%. Among them, 64.6% were spontaneous and 35.4% therapeutic. In the case-control component, 2,682 spontaneous preterm births were compared to a sample of 1,146 term births. Multivariate analyses identified the following as risk factors for spontaneous preterm birth among women with at least one previous birth: a previous preterm birth (OR(adj) = 3.19, 2.30–4.43), multiple pregnancy (OR(adj) = 29.06, 8.43–100.2), cervical insufficiency (OR(adj) = 2.93, 1.07–8.05), foetal malformation (OR(adj) = 2.63, 1.43–4.85), polyhydramnios (OR(adj) = 2.30, 1.17–4.54), vaginal bleeding (OR(adj) = 2.16, 1.50–3.11), and previous abortion (OR(adj) = 1.39, 1.08–1.78). High BMI (OR(adj) = 0.94, 0.91–0.97) and weight gain during gestation (OR(adj) = 0.92, 0.89–0.95) were found to be protective factors. CONCLUSIONS: The preterm birth rate in these health facilities in Brazil is high and spontaneous preterm births account for two thirds of them. A better understanding of the factors associated with spontaneous preterm birth is of utmost importance for planning effective measures to reduce the burden of its increasing rates. |
format | Online Article Text |
id | pubmed-4192080 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-41920802014-10-14 Brazilian Multicentre Study on Preterm Birth (EMIP): Prevalence and Factors Associated with Spontaneous Preterm Birth Passini, Renato Cecatti, Jose G. Lajos, Giuliane J. Tedesco, Ricardo P. Nomura, Marcelo L. Dias, Tabata Z. Haddad, Samira M. Rehder, Patricia M. Pacagnella, Rodolfo C. Costa, Maria L. Sousa, Maria H. PLoS One Research Article BACKGROUND: Preterm birth rate is increasing and is currently a worldwide concern. The purpose of this study was to estimate the prevalence of preterm birth in a sample of health facilities in Brazil and to identify the main risk factors associated with spontaneous preterm births. METHODS AND FINDINGS: This was a multicentre cross sectional study on preterm births in 20 referral obstetric hospitals with a case-control component to identify factors associated with spontaneous preterm birth. Surveillance was implemented at all centres to identify preterm births. For eligible consenting women, data were collected through a post-delivery questionnaire completed with information from all mother-newborn medical records until death or discharge or at a maximum of 60 days post-delivery, whichever came first. The risk of spontaneous preterm birth was estimated with OR and 95%CI for several predictors. A non-conditional logistic regression analysis was then performed to identify independently associated factors. The overall prevalence of preterm birth was 12.3%. Among them, 64.6% were spontaneous and 35.4% therapeutic. In the case-control component, 2,682 spontaneous preterm births were compared to a sample of 1,146 term births. Multivariate analyses identified the following as risk factors for spontaneous preterm birth among women with at least one previous birth: a previous preterm birth (OR(adj) = 3.19, 2.30–4.43), multiple pregnancy (OR(adj) = 29.06, 8.43–100.2), cervical insufficiency (OR(adj) = 2.93, 1.07–8.05), foetal malformation (OR(adj) = 2.63, 1.43–4.85), polyhydramnios (OR(adj) = 2.30, 1.17–4.54), vaginal bleeding (OR(adj) = 2.16, 1.50–3.11), and previous abortion (OR(adj) = 1.39, 1.08–1.78). High BMI (OR(adj) = 0.94, 0.91–0.97) and weight gain during gestation (OR(adj) = 0.92, 0.89–0.95) were found to be protective factors. CONCLUSIONS: The preterm birth rate in these health facilities in Brazil is high and spontaneous preterm births account for two thirds of them. A better understanding of the factors associated with spontaneous preterm birth is of utmost importance for planning effective measures to reduce the burden of its increasing rates. Public Library of Science 2014-10-09 /pmc/articles/PMC4192080/ /pubmed/25299699 http://dx.doi.org/10.1371/journal.pone.0109069 Text en © 2014 Passini Jr et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Passini, Renato Cecatti, Jose G. Lajos, Giuliane J. Tedesco, Ricardo P. Nomura, Marcelo L. Dias, Tabata Z. Haddad, Samira M. Rehder, Patricia M. Pacagnella, Rodolfo C. Costa, Maria L. Sousa, Maria H. Brazilian Multicentre Study on Preterm Birth (EMIP): Prevalence and Factors Associated with Spontaneous Preterm Birth |
title | Brazilian Multicentre Study on Preterm Birth (EMIP): Prevalence and Factors Associated with Spontaneous Preterm Birth |
title_full | Brazilian Multicentre Study on Preterm Birth (EMIP): Prevalence and Factors Associated with Spontaneous Preterm Birth |
title_fullStr | Brazilian Multicentre Study on Preterm Birth (EMIP): Prevalence and Factors Associated with Spontaneous Preterm Birth |
title_full_unstemmed | Brazilian Multicentre Study on Preterm Birth (EMIP): Prevalence and Factors Associated with Spontaneous Preterm Birth |
title_short | Brazilian Multicentre Study on Preterm Birth (EMIP): Prevalence and Factors Associated with Spontaneous Preterm Birth |
title_sort | brazilian multicentre study on preterm birth (emip): prevalence and factors associated with spontaneous preterm birth |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4192080/ https://www.ncbi.nlm.nih.gov/pubmed/25299699 http://dx.doi.org/10.1371/journal.pone.0109069 |
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