Predictive value of platelet parameters for early-onset pre-eclampsia: A prospective cohort study in a teaching

DipenKumar Thakkar1, Jeel Shihora1, Rohankumar Gandhi1

  • 1Department of Community Medicine, Shri MP Shah Medical College, Jamnagar, Gujarat, India.

Insights

Platelet parameters like mean platelet volume (MPV), platelet distribution width (PDW), and platelet count (PC) can predict early-onset pre-eclampsia. These markers, measured early in pregnancy, aid in identifying high-risk pregnancies for timely intervention.

Area of Science:

  • Obstetrics and Gynecology
  • Hematology
  • Maternal-Fetal Medicine

Background:

  • Early-onset pre-eclampsia poses significant risks to mothers and newborns.
  • Early detection is vital for effective management and improved pregnancy outcomes.
  • Novel biomarkers are needed for predicting early-onset pre-eclampsia.

Purpose of the Study:

  • To assess the predictive capability of platelet parameters for early-onset pre-eclampsia.
  • To evaluate mean platelet volume (MPV), platelet distribution width (PDW), and platelet count (PC) as potential biomarkers.
  • To determine if these parameters measured in early gestation can forecast the condition.

Main Methods:

  • A prospective cohort study involving 712 pregnant women was conducted.
  • Platelet parameters (MPV, PDW, PC) were measured between 14-18 weeks of gestation.
  • Receiver operating characteristic (ROC) curves were utilized to analyze predictive accuracy.

Main Results:

  • Women who developed early-onset pre-eclampsia showed higher MPV and PDW, and lower PC.
  • A combination of MPV, PDW, and PC demonstrated high predictive value (AUC: 0.951).
  • Individual platelet parameters also exhibited significant predictive ability.

Conclusions:

  • Platelet parameters (MPV, PDW, PC) measured in early pregnancy are effective predictors of early-onset pre-eclampsia.
  • Integrating these parameters into antenatal screening can enhance early identification of at-risk pregnancies.
  • Further validation and cost-effectiveness studies are recommended.
Abstract

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