Citation

de Medeiros BKB, Cornetta MC, Crispim JO, Cobucci RN (2018) Risk Factors Associated with Preterm Birth in a Brazilian Maternal and Child Health Hospital. Obstet Gynecol Cases Rev 5:136. doi.org/10.23937/2377-9004/1410136

Copyright

© 2018 de Medeiros BKB, et al. 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 credited.

RESEARCH ARTICLE | OPEN ACCESS DOI: 10.23937/2377-9004/1410136

Risk Factors Associated with Preterm Birth in a Brazilian Maternal and Child Health Hospital

Bianca Karenina Brito de Medeiros1, Maria da Conceição Cornetta2, Janaína de Oliveira Crispim3 and Ricardo Ney Cobucci4*

1Resident at the Januário Cicco Maternity School, MEJC, Natal, Brazil

2Faculty of Medicine, Department of Gynecology and Obstetrics, Federal University of Rio Grande do Norte, Natal, Brazil

3Department of Clinical Analysis, School of Pharmacy, Federal University of Rio Grande do Norte, Natal, Brazil

4Faculty of Medicine, Department of Gynecology and Obstetrics, Potiguar University-UnP, Natal, Brazil

Abstract

This population-based case-control study aims to verify the risk factors associated with preterm birth (PTB) in a maternity school. The cases were newborns with a gestational age greater than or equal to 22 weeks and less than 37 weeks (birth weight greater than or equal to 500 g), and controls were those born with gestational age equal to or greater than 37 weeks gestation. Data are recorded in the Live Birth Information System of 3,915 births at the Januário Cicco Maternity School in the year 2017. Pearson's chi-square test was used in conjunction with the adjusted residuals analysis and a hierarchical logistic regression analysis to verify the predictive variables of PTB. The variables were placed into a hierarchy and grouped into sociodemographic variables, reproductive history, and gestational and birth factors. A total of 976 cases and 2,377 controls were allocated for the analyzes, approximately (1:2.5). None of the maternal sociodemographic variables presented enough relation to prematurity to be inserted into the regression model. The model containing the variables of reproductive history shows that an obstetric history of up to two previous vaginal deliveries was related to PTB [X2 = 24.450; p < 0.001, R2 Cox and Snell = 0.007]. The model containing the variables of gestational factors, as multiple pregnancy, was the one that best explained prematurity and presented a determination power of 6.7% [X2 = 232.8; p < 0.001, R2 Cox and Snell = 0.067]. Multiple gestation, inadequate prenatal follow-up, anomalous presentations and obstetric history of up to two vaginal deliveries are risk factors for PTB.