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Dataset Information

Agnostic identification of plasma biomarkers for postpartum hemorrhage risk.


ABSTRACT:

Background

Postpartum hemorrhage is difficult to predict, is associated with significant maternal morbidity, and is the leading cause of maternal mortality worldwide. The identification of maternal biomarkers that can predict increased postpartum hemorrhage risk would enhance clinical care and may uncover mechanisms that lead to postpartum hemorrhage.

Objective

This retrospective case-control study employed agnostic proteomic profiling of maternal plasma samples to identify differentially abundant proteins in controls and postpartum hemorrhage cases.

Study design

Maternal plasma samples were procured from a cohort of >60,000 participants in a single institution's perinatal repository. Postpartum hemorrhage was defined as a decrease in hematocrit of ≥10% or receipt of

SUBMITTER: Reitsma SE 

PROVIDER: S-EPMC11538378 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature