Predicting the risk of preterm birth in women with multiplepregnancies in the population cohort of Vinnitsa region depending on their initial state of health and the course of pregnancy


  • O. V. Bulavenko
  • A. V. Vozniuk
Keywords: multiple pregnancy, preterm birth, logistic regression model, risk factors

Abstract

The study is based on performing analysis of the anamnesis data, the initial state of health, the course of pregnancy and other characteristics of 86 women with multiple pregnancies, which had preterm labor between 27 to 36 weeks of the gestation period (main group), and 463 women, which gave birth after full-term multiple pregnancies (control group). A modified model for predicting the risk of premature birth in women with multiple pregnancies was developed. The model can be used to individually forecast preterm delivery in women of this category and to evaluate more accurately its risk comparing to the assessment of the risk based on a single predictive factor.

Published
2017-03-31
How to Cite
Bulavenko, O. V., & Vozniuk, A. V. (2017). Predicting the risk of preterm birth in women with multiplepregnancies in the population cohort of Vinnitsa region depending on their initial state of health and the course of pregnancy. Biomedical and Biosocial Anthropology, (28), 123-127. Retrieved from https://bba-journal.com/index.php/journal/article/view/249