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. 2013 Sep;54(5):344-8.
doi: 10.4103/0300-1652.122368.

Prognostic risk factors for early diagnosing of Preeclampsia in Nulliparas

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Prognostic risk factors for early diagnosing of Preeclampsia in Nulliparas

Morteza Ghojazadeh et al. Niger Med J. 2013 Sep.

Abstract

Background: Preeclampsia is of major complications of pregnancy that is associated with maternal morbidity and mortality. Therefore, prediction and early diagnosis of preeclampsia would be helpful for better controlling of related complications. Our study aimed to investigate risk factors helping to predict and early diagnose of preeclampsia.

Materials and methods: A total of 739 nulliparous women at their 24-28(th) weeks of the first pregnancy were enrolled in this multi-center cohort study. Incidence or absence of preeclampsia in this population was evaluated up to the end of pregnancy period. For each case, a record sheet was assigned that contained information about haematocrit level in weeks 24-28(th) of pregnancy, blood pressure, result of roll-over test in weeks 24-28(th) of pregnancy and the presence of disease up to end of the study. Diagnosis of preeclampsia was made based on gold standard.

Results: Overall, 3.9 % of all cases developed preeclampsia. The mean maternal age, body mass index (BMI), years of education and positive roll-over test were significantly higher in preeclampsia group (P < 0.001). However, the mean gestational age and changes in the levels of haematocrit were significantly higher in normotensive cases (P < 0.001). Our combined model could predict preeclampsia with a sensitivity of 93% and a specificity of 80%.

Conclusion: Simple combined model of demographic characteristics including maternal age, BMI, years of education and positive roll-over tests can predict preeclampsia without any cost for the patients.

Keywords: Preeclampsia; pregnancy; risk factors; roll-over test.

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Conflict of interest statement

Conflict of Interest: None declared.

Figures

Figure 1
Figure 1
Flowchart of prognostic risk factors for early diagnosing of Preeclampsia in Nulliparas
Figure 2
Figure 2
Receiver operator characteristic curve of the roll-over test performance in the prognosis of pregnancy-induced hypertension

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References

    1. Schroeder BM. American College of Obstetricians and Gynecologists. Practice Guidelines ACOG Practice Bulletin on Diagnosing and Managing Preeclampsia and Eclampsia. Am Fam Physician. 2002;66:330–1. - PubMed
    1. Li Z, Zhang Y, Ying Ma J, Kapoun AM, Shao Q, Kerr I, et al. Recombinant vascular endothelial growth factor 121 attenuates hypertension and improves kidney damage in a rat model of preeclampsia. Hypertension. 2007;50:686–92. - PubMed
    1. Mehrabian F, Rezaei A. Early measurement of thrombus precursor protein (TPP) in the third trimester as a predictor of preeclampsia. Journal of Cell and Tissue Research. 2009;9:1855–8.
    1. Sibai B, Dekker G, Kupferminc M. Pre-eclampsia. Lancet. 2005;365:785–99. - PubMed
    1. Sibai BM. Maternal and uteroplacental hemodynamics for the classification and prediction of preeclampsia. Hypertension. 2008;52:805–6. - PubMed