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Related Concept Videos

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Comparing the Survival Analysis of Two or More Groups

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Related Experiment Video

Updated: May 26, 2026

A New Hybrid Quantitative Evaluation Model for Axillary Junctional Hemorrhage in Swine
08:27

A New Hybrid Quantitative Evaluation Model for Axillary Junctional Hemorrhage in Swine

Published on: December 6, 2024

Direct Comparison of Three Postpartum Hemorrhage Risk Assessment Tools: A Retrospective Secondary Data Analysis.

Stefanie Modri1, Mohika Nagpal2, Margaret Brace3

  • 1Department of Family & Community Health, University of Pennsylvania, Philadelphia, Pennsylvania, USA, upenn.edu.

Obstetrics and Gynecology International
|May 25, 2026
PubMed
Summary

This study compared postpartum hemorrhage risk screening tools, finding the Association of Women's Health, Obstetric and Neonatal Nurses' tool most sensitive. However, even this tool misclassified 21% of high-risk cases, indicating a need for improved predictive models.

Keywords:
anemiachildbirthmaternal morbiditymidwiferyobstetricspostpartum hemorrhage

Related Experiment Videos

Last Updated: May 26, 2026

A New Hybrid Quantitative Evaluation Model for Axillary Junctional Hemorrhage in Swine
08:27

A New Hybrid Quantitative Evaluation Model for Axillary Junctional Hemorrhage in Swine

Published on: December 6, 2024

Area of Science:

  • Obstetrics and Gynecology
  • Maternal Health
  • Clinical Performance Evaluation

Background:

  • Postpartum hemorrhage (PPH) remains a leading cause of maternal morbidity and mortality worldwide.
  • Accurate and timely risk assessment is crucial for effective PPH management.
  • Existing screening tools require evaluation for their predictive performance in diverse clinical settings.

Purpose of the Study:

  • To compare the performance of three established postpartum hemorrhage risk screening tools.
  • To evaluate the sensitivity, specificity, and predictive values of these tools using a validated patient data set.
  • To identify the most effective tool for identifying patients at risk of significant blood loss during childbirth.

Main Methods:

  • Retrospective secondary data analysis of a parent study involving 525 participants from a US tertiary care hospital.
  • Inclusion criteria: ≥37 weeks gestation, ≥18 years, singleton pregnancy.
  • Statistical analysis included t-tests and chi-square tests to assess associations between risk scores and hemorrhage outcomes.

Main Results:

  • Using the World Health Organization's definition (≥500 mL blood loss), the PPH prevalence was 36.8%.
  • The Association of Women's Health, Obstetric and Neonatal Nurses (AWHONN) tool demonstrated the highest sensitivity and negative predictive value (86% accuracy).
  • Despite high performance, the AWHONN tool identified 21% of cases with blood loss ≥500 mL as low risk.

Conclusions:

  • The AWHONN tool shows the greatest promise among the evaluated screening methods for PPH risk.
  • Current screening tools, including the AWHONN tool, have limitations in accurately predicting all cases of significant postpartum blood loss.
  • Further development of novel biomarkers and predictive models is essential to enhance the early detection and management of postpartum hemorrhage.