Brazilian Multicentre Study on Preterm Birth (EMIP): Prevalence and Factors Associated with Spontaneous Preterm Birth

被引:66
|
作者
Passini, Renato, Jr. [1 ]
Cecatti, Jose G. [1 ,2 ]
Lajos, Giuliane J. [1 ]
Tedesco, Ricardo P. [1 ,3 ]
Nomura, Marcelo L. [1 ]
Dias, Tabata Z. [1 ]
Haddad, Samira M. [1 ]
Rehder, Patricia M. [1 ]
Pacagnella, Rodolfo C. [1 ]
Costa, Maria L. [1 ]
Sousa, Maria H. [2 ]
机构
[1] Univ Estadual Campinas, Sch Med Sci, Dept Obstet & Gynaecol, Campinas, SP, Brazil
[2] Ctr Studies Reprod Hlth Campinas CEMICAMP, Campinas, SP, Brazil
[3] Jundiai Sch Med, Jundiai, Brazil
来源
PLOS ONE | 2014年 / 9卷 / 10期
基金
巴西圣保罗研究基金会;
关键词
MULTIPLE PREGNANCY; SHORT CERVIX; EPIDEMIOLOGY; METAANALYSIS; COUNTRIES; RISK;
D O I
10.1371/journal.pone.0109069
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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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页数:12
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