Development and Validation of a Predictive Model for Postpartum Hemorrhage in Non-Primiparous Women Who Deliver Vaginally

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Retrospective analysis identifies risk factors for postpartum hemorrhage in non-primiparous mothers, suggesting an improved predictive model.

Developed a logistic regression model to predict postpartum hemorrhage risks in non-primiparous women.
Among 436 deliveries analyzed, 41 cases of postpartum hemorrhage were identified, indicating a 9.4% prevalence.
Independent risk factors included in vitro fertilization, BMI, episiotomy, placenta previa, newborn weight, and manual removal of the placenta.
The model shows strong performance with an AUC of 0.839, supporting individualized intervention strategies.

Zhou et al. (2025) studied this question.

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Retrospective analysis identifies risk factors for postpartum hemorrhage in non-primiparous mothers, suggesting an improved predictive model.