Outcomes of High-Risk Pregnancies in Northern Iran: Multivariate Logistic Regression Model

Abstract

Background and Purpose High-risk pregnancy is referred to a situation in which mother, fetus or neonate are in higher risk of morbidity or mortality. Because of adverse outcomes of high-risk pregnancies, this study aims to determine these outcomes in the North of Iran. Materials And Methods We recruited 803 urban and rural pregnant women in this crosssectional study via consensus method. Data were collected by a questionnaire and analyzed using descriptive statistics [mean, standard deviation (SD)], chi-square test and multivariate logistic regression model. All data analyses were performed using SPSS software and P Results Mean ± SD, minimum and maximum age of participants were 27.0 ± 6.2, 14 and44 years, respectively, 26.3% of which were urban residences. The frequency of adverse outcomes of pregnancy (stillbirth, abortion, and weight under 2500 g) was 10.8%. According to the multivariate logistic regression model, preeclampsia was significantly associated with adverse outcomes of high-risk pregnancy (Odds ratio = 2.7, 95% confidence interval: 1.03-7.10). Conclusion Our study showed that preeclampsia during pregnancy is a predictive factor of adverse outcomes of pregnancy such as abortion, stillbirth, and low birth weight.