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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 Finding... Full description

Journal Title: PLoS ONE 01 January 2014, Vol.9(10), p.e109069
Main Author: Renato Passini
Other Authors: Jose G Cecatti , Giuliane J Lajos , Ricardo P Tedesco , Marcelo L Nomura , Tabata Z Dias , Samira M Haddad , Patricia M Rehder , Rodolfo C Pacagnella , Maria L Costa , Maria H Sousa , Brazilian Multicentre Study on Preterm Birth Study Group
Format: Electronic Article Electronic Article
Language: English
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ID: E-ISSN: 1932-6203 ; DOI: 10.1371/journal.pone.0109069
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recordid: doaj_soai_doaj_org_article_f998a1c70bb246c0a1b40d44b86304c5
title: Brazilian multicentre study on preterm birth (EMIP): prevalence and factors associated with spontaneous preterm birth
format: Article
creator:
  • Renato Passini
  • Jose G Cecatti
  • Giuliane J Lajos
  • Ricardo P Tedesco
  • Marcelo L Nomura
  • Tabata Z Dias
  • Samira M Haddad
  • Patricia M Rehder
  • Rodolfo C Pacagnella
  • Maria L Costa
  • Maria H Sousa
  • Brazilian Multicentre Study on Preterm Birth Study Group
subjects:
  • Sciences (General)
ispartof: PLoS ONE, 01 January 2014, Vol.9(10), p.e109069
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.sub.adj = 3.19, 2.30-4.43), multiple pregnancy (OR.sub.adj = 29.06, 8.43-100.2), cervical insufficiency (OR.sub.adj = 2.93, 1.07-8.05), foetal malformation (OR.sub.adj = 2.63, 1.43-4.85), polyhydramnios (OR.sub.adj = 2.30, 1.17-4.54), vaginal bleeding (OR.sub.adj = 2.16, 1.50-3.11), and previous abortion (OR.sub.adj = 1.39, 1.08-1.78). High BMI (OR.sub.adj = 0.94, 0.91-0.97) and weight gain during gestation (OR.sub.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.
language: eng
source:
identifier: E-ISSN: 1932-6203 ; DOI: 10.1371/journal.pone.0109069
fulltext: fulltext_linktorsrc
issn:
  • 1932-6203
  • 19326203
url: Link


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titleBrazilian multicentre study on preterm birth (EMIP): prevalence and factors associated with spontaneous preterm birth
creatorRenato Passini ; Jose G Cecatti ; Giuliane J Lajos ; Ricardo P Tedesco ; Marcelo L Nomura ; Tabata Z Dias ; Samira M Haddad ; Patricia M Rehder ; Rodolfo C Pacagnella ; Maria L Costa ; Maria H Sousa ; Brazilian Multicentre Study on Preterm Birth Study Group
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descriptionBackground 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.sub.adj = 3.19, 2.30-4.43), multiple pregnancy (OR.sub.adj = 29.06, 8.43-100.2), cervical insufficiency (OR.sub.adj = 2.93, 1.07-8.05), foetal malformation (OR.sub.adj = 2.63, 1.43-4.85), polyhydramnios (OR.sub.adj = 2.30, 1.17-4.54), vaginal bleeding (OR.sub.adj = 2.16, 1.50-3.11), and previous abortion (OR.sub.adj = 1.39, 1.08-1.78). High BMI (OR.sub.adj = 0.94, 0.91-0.97) and weight gain during gestation (OR.sub.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.
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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.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...

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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.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...

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