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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...

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Detalles Bibliográficos
Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
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
Descripción
Sumario: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.