The Value of Mean Platelet Volume in Predicting The Severity of Preeclampsia and of Hellp Syndrome

Authors

  • Pınar Kumru Haydarpaşa Numune Education and Research Hospital, Department of Gynecology and Obstetrics, İstanbul
  • Nurettin Aka Haydarpaşa Numune Education and Research Hospital, Department of Gynecology and Obstetrics, İstanbul
  • Gültekin Köse Haydarpaşa Numune Education and Research Hospital, Department of Gynecology and Obstetrics, İstanbul
  • Özgür Kartal Haydarpaşa Numune Education and Research Hospital, Department of Gynecology and Obstetrics, İstanbul
  • Sacide Atalay Haydarpaşa Numune Education and Research Hospital, Department of Clinical Biochemistry, İstanbul

Keywords:

Preeclampsia, HELLP syndrome, Mean Platelet Volume (MPV), Platelets

Abstract

OBJECTIVE: Assessing the value of MPV in predicting the severity of preeclampsia, and HELLP syndrome.
STUDY DESIGN:12 women with HELLP syndrome,57 severely preeclamptic,30 mildly preeclamptic, 170 healthy pregnant women were included in this study and their MPV are recorded.
RESULTS: The calculated sensitivity was 53% for mild preeclampsia,77% for severe preeclampsia, and 83% for HELLP syndrome.
CONCLUSION: The measurement of MPV is not enough for diagnosis but can be useful with other sensitive tests.

Downloads

Download data is not yet available.

Downloads

Published

2007-04-15

How to Cite

1.
Kumru P, Aka N, Köse G, Kartal Özgür, Atalay S. The Value of Mean Platelet Volume in Predicting The Severity of Preeclampsia and of Hellp Syndrome. Gynecol Obstet Reprod Med [Internet]. 2007Apr.15 [cited 2024Nov.24];13(1):9-13. Available from: https://gorm.com.tr/index.php/GORM/article/view/503

Issue

Vol. 13 No. 1 (2007)

Section

Obstetrics; Maternal Fetal Medicine and Perinatology

License

CC BY

All the articles published in GORM are licensed with "Creative Commons Attribution 4.0 License (CC BY 4.0)". This license entitles all parties to copy, share and redistribute all the articles, data sets, figures and supplementary files published in this journal in data mining, search engines, web sites, blogs and other digital platforms under the condition of providing references.