ArticleArchives of medical science : AMS2013
Predictive factors for preeclampsia in pregnant women: a Receiver Operation Character approach.
Article in Archives of medical science : AMS, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses that pooled it.
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Who cites it
13 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- First-Trimester Prediction Models Based on Maternal Characteristics for Adverse Pregnancy Outcomes: A Systematic Review and Meta-Analysis.BJOG : an international journal of obstetrics and gynaecology · 2025Pooled it
- Global prevalence of preeclampsia, eclampsia, and HELLP syndrome: a systematic review and meta-analysis.Frontiers in reproductive health · 2025Pooled it
- Machine Learning Algorithms Versus Classical Regression Models in Pre-Eclampsia Prediction: A Systematic Review.Current hypertension reports · 2024Pooled it
- Risk factors and prediction model for new-onset hypertensive disorders of pregnancy: a retrospective cohort study.Frontiers in cardiovascular medicine · 2024Article
- Risk factors associated with attendance at postpartum blood pressure follow-up visit in discharged patients with hypertensive disorders of pregnancy.BMC pregnancy and childbirth · 2023Article
- A risk factor-based predictive model for new-onset hypertension during pregnancy in Chinese Han women.BMC cardiovascular disorders · 2020Article
- Predictors of Postpartum Persisting Hypertension Among Women with Preeclampsia Admitted at Carlos Manuel de Cèspedes Teaching Hospital, Cuba.International journal of women's health · 2020Article
- The relationship between body mass index and preeclampsia: A systematic review and meta-analysis.International journal of reproductive biomedicine · 2019Review
- External Validation and Clinical Usefulness of First Trimester Prediction Models for the Risk of Preeclampsia: A Prospective Cohort Study.Fetal diagnosis and therapy · 2019Article
- Renin-angiotensin-aldosterone system gene polymorphisms in gestational hypertension and preeclampsia: A case-control gene-association study.Scientific reports · 2016Article
- Prevalence and Predictive Factors of Sexual Dysfunction in Iranian Women: Univariate and Multivariate Logistic Regression Analyses.Korean journal of family medicine · 2016Article
- Predicting reintubation, prolonged mechanical ventilation and death in post-coronary artery bypass graft surgery: a comparison between artificial neural networks and logistic regression models.Archives of medical science : AMS · 2015Article
- The Maternal Near Miss Incidence Ratio with WHO Approach in Iran: A Systematic Review and Meta-Analysis.Iranian journal of nursing and midwifery researchReview
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionPreeclampsia is a major cause of maternal and prenatal mortality and morbidity worldwide. There are some risk factors that are of great value for prediction of preeclampsia by which the practitioners can counsel women regarding this disease. The aim of this study was to analyze the role of such risk factors as the predictors associated with preeclampsia among Iranian women using logistic regression. MATERIAL AND
methodsThe role of some risk factors such as demographic, anthropometric, medical and obstetrics variables in preeclampsia among 610 women attending the obstetric ward of Mustafa hospital in Ilam in the west of Iran was analyzed from May to September 2010. All the pregnant women referred to this hospital participated in the study except those cases that had abortion. Unvaried and Multiple logistic regression analyses were used to find the predictive factors behind preeclampsia. Standard errors of area compute using nonparametric methods. A p-value of 0.05 was considered statistically significant.
resultsPrevalence of preeclampsia was 9.5% (95% CI 7.4-11.6%). Predictive model build using history of preeclampsia, history of hypertension, and history of infertility. Area Under the Receiver Operation Character (AUROC) was estimated 0.67 (95% CI 0.59-0.67, p < 0.01) that showed that using the model is much better than having a guess.
conclusionsThe odd of preeclampsia increased in women with a history of preeclampsia, hypertension and infertility. Recognition of these predictor factors would improve the ability to diagnose and monitor women likely to develop preeclampsia before the onset of disease for timely interventions.
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