Haematological changes from conception to childbirth: An indicator of major pregnancy complications

Marion Patxot1,2, Miloš Stojanov3, Sven Erik Ojavee1,2

  • 1Department of Computational Biology, University of Lausanne, Lausanne, Switzerland.

Insights

Maternal hematological changes, like hemoglobin decrease, can predict pregnancy complications such as hypertension. Identifying these patterns aids in early diagnosis and improved maternal care strategies.

Area of Science:

  • Obstetrics and Gynecology
  • Hematology
  • Maternal Health

Background:

  • Pregnancy complications cause approximately 800 global maternal deaths daily.
  • Key complications include excessive blood loss, infections, and high blood pressure.
  • Improved screening for high-risk pregnancies is crucial.

Purpose of the Study:

  • To identify patterns of maternal hematological changes linked to future pregnancy complications.
  • To enhance screening for high-risk pregnancies.

Main Methods:

  • Utilized mixed effects models to analyze 14 complete blood count (CBC) parameters.
  • Established reference ranges for CBC parameters in 1710 healthy pregnancies.
  • Compared CBC data from healthy pregnancies with those experiencing pregnancy-induced hypertension, gestational diabetes, and postpartum hemorrhage.

Main Results:

  • Demonstrated interindividual variations but good individual repeatability in CBC values during physiological pregnancies.
  • Identified specific hematological alterations in women with obstetric complications.
  • Observed a significantly more pronounced decrease in hemoglobin levels in women who developed pregnancy-induced hypertension compared to uncomplicated pregnancies.
  • Confirmed that obstetric complications and white blood cell counts predict earlier delivery.

Conclusions:

  • Provided a comprehensive description of hematological changes associated with major obstetric complications.
  • The findings support strategies for the prevention and early diagnosis of pregnancy complications.
  • The study contributes to improving maternal care through better risk identification.
Abstract

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