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 ۸۰۳ 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 < ۰.۰۵ was considered significant. Results: Mean ± SD, minimum and maximum age of participants were ۲۷.۰ ± ۶.۲, ۱۴ and ۴۴ years, respectively, ۲۶.۳% of which were urban residences. The frequency of adverse outcomes of pregnancy (stillbirth, abortion, and weight under ۲۵۰۰ g) was ۱۰.۸%. According to the multivariate logistic regression model, preeclampsia was significantly associated with adverse outcomes of high-risk pregnancy (Odds ratio = ۲.۷, ۹۵% confidence interval: ۱.۰۳-۷.۱۰). 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.

Keywords:

Pregnancy , High-Risk , Abortion , Stillbirth , Low Birth Weight