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Changes in Platelet Indices during Pregnancy as Potential Markers for Prediction of Preeclampsia Development

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DOI: 10.4236/ojog.2015.512099    3,273 Downloads   4,562 Views   Citations

ABSTRACT

Objective: To assess whether changes in platelet indices, detectable by simple complete blood count (CBC), during pregnancy could be used as markers for prediction of development of preeclampsia (PE). Methods: A total of 2813 pregnant women who received regular antenatal care until delivery were included. Participants were divided into 3 groups: normotensive pregnant women (n = 2621), women with PE without severe features (n = 169), and women with PE with severe features (n = 23). Blood samples were collected during antenatal visits and/or during the period of in-patient hospital stay, and changes in platelet indices were compared among the three groups. Results: Platelet count (PC) was decreasing while mean platelet volume (MPV) and platelet distribution width (PDW) were increasing as PE progressed. Receiver operating characteristics (ROC) curve analysis showed that PDW had the largest area under curve (AUC) [0.980 (95% CI: 0.964 - 1.000)], making it the best marker for predicting development of PE. Also, PDW showed the most statistically significant correlation with mean arterial pressure (MAP) (r = 0.902, p = 0.000), making it the best marker for predicting severity of hypertension. Conclusion: This study provides evidence that PC decreases while MPV and PDW increase as pregnancy advances, and these changes are more pronounced in PE than normotensive pregnancy. These changes predate development of PE by 2 - 8 weeks and are proportional to the progress of this disorder. The selected platelet indices, especially PDW, have the potential to be utilized as markers for not only prediction of PE development but also severity of hypertension.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

Nooh, A. and Abdeldayem, H. (2015) Changes in Platelet Indices during Pregnancy as Potential Markers for Prediction of Preeclampsia Development. Open Journal of Obstetrics and Gynecology, 5, 703-712. doi: 10.4236/ojog.2015.512099.

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