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    Postpartum haemorrhage following vaginal delivery: a comprehensive analysis and development of predictive models for aetiological subgroups in Chinese women by Hong Lin, Dandan Zhang, Jinke Li, Mengyuan Shao, Xiaoxue Wang, Xueting Chen, Yangzi Zhou, Zixuan Song

    Published 2025-01-01
    “…Our goal was to craft and validate predictive models to guide clinical decision-making and optimise resource allocation.Design A retrospective cohort study.Setting Shengjing Hospital of China Medical University, Liaoning Maternal and Child Health Hospital, and Shenyang Women’s and Children’s Hospital.Participants 29 842 women who underwent vaginal delivery were enrolled in the study across three hospitals from 2016 to 2022.Primary outcome measures PPH, categorised into uterine atony (UA), placental factors (PF), cervical trauma (CT), and coagulation abnormalities (CA) by aetiology.Results The logistic regression for overall PPH and UA-PPH showcased high discrimination (AUCs of 0.807 and 0.794, respectively), coupled with commendable calibration and DCA-assessed clinical utility, culminating in the development of a nomogram for risk prediction. …”
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