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Multicenter Study
. 2014 Oct 9;9(10):e109069.
doi: 10.1371/journal.pone.0109069. eCollection 2014.

Brazilian multicentre study on preterm birth (EMIP): prevalence and factors associated with spontaneous preterm birth

Collaborators, Affiliations
Multicenter Study

Brazilian multicentre study on preterm birth (EMIP): prevalence and factors associated with spontaneous preterm birth

Renato Passini Jr et al. PLoS One. .

Erratum in

Abstract

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 (ORadj = 3.19, 2.30-4.43), multiple pregnancy (ORadj = 29.06, 8.43-100.2), cervical insufficiency (ORadj = 2.93, 1.07-8.05), foetal malformation (ORadj = 2.63, 1.43-4.85), polyhydramnios (ORadj = 2.30, 1.17-4.54), vaginal bleeding (ORadj = 2.16, 1.50-3.11), and previous abortion (ORadj = 1.39, 1.08-1.78). High BMI (ORadj = 0.94, 0.91-0.97) and weight gain during gestation (ORadj = 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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Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Figure 1
Figure 1. Regional distribution of centres participating in the Brazilian Multicentre Study on Preterm Birth (2 in region South, 7 in region Northeast and 11 in region Southeast).
Figure 2
Figure 2. Flow chart of births in the Brazilian Multicentre Study on Preterm Birth.
Figure 3
Figure 3. Proportion of preterm births in the Brazilian Multicentre Study on Preterm Birth (EMIP) according to regions, gestational age and main determining factor.

References

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