ArticleAmerican journal of translational research2025
Construction of a predictive model for the risk of postpartum hemorrhage in women with advanced maternal age undergoing natural childbirth.
Article in American journal of translational research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Impact of Different Maternal Age Subgroups on Pregnancy Adverse Outcomes in China: A Multicenter Cohort Study.Health science reports · 2026Article
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4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
objectiveTo identify the risk factors of postpartum hemorrhage (PPH) in women of advanced maternal age (AMA) undergoing natural childbirth and to develop a nomogram model for PPH risk prediction in this population.
methodsThis study retrospectively collected data from 220 AMA women who had a natural childbirth at the Third Affiliated Hospital of Chengdu Medical College, Chengdu Pidu District People's Hospital between March 2020 and May 2023, forming the training cohort. The cohort was categorized into the PPH group and the non-PPH group based on the occurrence of PPH. Clinical data were compared between the two groups. Univariate and multivariate logistic analyses were employed to identify the factors associated with PPH. A predictive model for the risk of PPH in AMA women was developed, and its predictive accuracy was assessed using calibration curves, receiver operating characteristic (ROC) curves, and decision curve analysis (DCA). Additionally, clinical data from 110 AMA women who had a natural childbirth at our hospital between June 2023 and August 2024 were collected, forming the validation cohort.
resultsThe overall incidence of PPH was 17.58% (58/330), including 39 from the training cohort, and 19 from the validation cohort. Univariate logistic analysis revealed that age, placenta previa, hypertensive disorder of pregnancy (HDP), fetal macrosomia, uterine atony, and scarred uterus were significant risk factors for PPH in AMA women (all
conclusionThe nomogram prediction model developed in this study effectively estimates the risk of PPH in AMA women, offering valuable clinical guidance.
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