• Media type: E-Article
  • Title: Predictive factors for preeclampsia in pregnant women: a unvariate and multivariate logistic regression analysis
  • Contributor: Direkvand-Moghadam, Ashraf; Khosravi, Afra; Sayehmiri, Kourosh
  • imprint: Frontiers Media SA, 2012
  • Published in: Acta Biochimica Polonica
  • Language: Not determined
  • DOI: 10.18388/abp.2012_2109
  • ISSN: 0001-527X; 1734-154X
  • Keywords: General Biochemistry, Genetics and Molecular Biology
  • Origination:
  • Footnote:
  • Description: <jats:p>Several risk factors have been used to predict preeclampsia. The role of some risk factors as predictors associated with preeclampsia among Iranian women was analyzed in the present study using logistic regression. 610 women attending the obstetric ward of Mustafa hospital in Ilam were enrolled in this study. Demographic variables such as age, Body Mass Index (BMI), medical and obstetrics variables such as education, number of pregnancy, abortion and parity from May to September 2010 were analyzed. We used the unvaried and multiple logistic regression analyses to predict preeclampsia. The history of preeclampsia, hypertension, and infertility showed to be good independent predicator variables for preeclampsia using multivariate logistic regression analysis (OR was 5.46, 2.34 and 3.07 respectively). Area Under the Receiver Operation Character (AUROC) was estimated to be 0.67 (95% CI 0.59-0.67, p</jats:p>
  • Access State: Open Access