Role of platelet indices in prediction of preeclampsia

Muzaffer Temur1, Fatma Nurgül Taşgöz2, Tayfur Çift3

  • 1Bursa Yıldırım Special Doruk Hospital, Bursa Turkey.

Ginekologia Polska
|June 9, 2021
PubMed

Insights

Preeclamptic pregnant women exhibit higher mean platelet volume (MPV) values compared to healthy individuals. MPV and platelet count/MPV ratio show promise for predicting preeclampsia.

Area of Science:

  • Obstetrics and Gynecology
  • Hematology
  • Clinical Pathology

Background:

  • Preeclampsia is a significant cause of maternal and fetal morbidity.
  • Platelet indices are altered in various pathological conditions, including pregnancy complications.
  • Understanding changes in platelet parameters may offer insights into preeclampsia pathophysiology.

Purpose of the Study:

  • To compare various platelet indices between preeclamptic and normotensive pregnant women.
  • To evaluate the potential clinical utility of these platelet parameters for preeclampsia prediction.

Main Methods:

  • A retrospective case-control study involving 257 preeclampsia patients and 264 healthy pregnant controls.
  • Comparison of platelet count (PC), mean platelet volume (MPV), platelet distribution width (PDW), plateletcrit (Pct), Pct/MPV ratio, and PC/MPV ratio between groups.

Main Results:

  • Mean platelet volume (MPV) was significantly higher in the preeclampsia group (p < 0.001).
  • Platelet count, plateletcrit, and platelet distribution width did not show significant differences.
  • Pct/MPV and PC/MPV ratios were significantly lower in preeclamptic women (p = 0.01 and p = 0.001, respectively).
  • An MPV cut-off of 9.15 demonstrated 58.7% sensitivity and 61.7% specificity for preeclampsia prediction.

Conclusions:

  • Altered platelet function, destruction, and production in preeclampsia lead to changes in platelet indices.
  • Elevated MPV is a key finding in preeclamptic pregnancies compared to normotensive ones.
  • MPV and the PC/MPV ratio are identified as promising diagnostic parameters for preeclampsia prediction.
Abstract

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