Abstract

Our objective is to identify the main risk factors for extreme preterm birth. We analysed the vital statistics database of DANE (EEV 2018). This database is of public access and collects the information from the live newborn records of 2018 in Colombia. All statistical analyses were performed in STATA 16.0. we did a logistic regression analysis. Descriptive statistics: In 2018, 643,913 live newborns were registered in Colombia. 2467 ( 0.38% ) were born between 22–28 weeks and 130452 (20.1%) were born between 29–36.6 weeks. Bivariate analysis: The variables considered were: maternal age, paternal age, the mother's marital status, the father's educational level, the mother's educational level, the social security scheme to which the mother belongs, the number of children, the number of deliveries and the presence or absence of multiple pregnancies. Logistic regression model: We carry out several logistic regression models and with the backward method, we choose the best possible model. Table 1 shows the summary of the findings. As risk factors associated with extreme preterm birth, were multiple pregnancy (OR 9.2 095% CI 8.2 -10.4) and less than 6 visits prenatal care (OR 10.1 95% CI 9.1 - 11.3). VP46.17: Table 1. Logistic regression model. risk factors for preterm birth before 28 weeks Multiple pregnancy and less than six visits prenatal care are two very important risk factors for preterm delivery before 28 weeks. Greater efforts to offer quality prenatal care to the entire population are necessary to reduce the incidence of preterm delivery and its complications in Colombia.

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