Evidence map›Paper›PMID 42429827›Full record

ArticleArchives of gynecology and obstetrics2026

Risk factors for postpartum hemorrhage after pregnancy termination for fetal malformations: a retrospective study and internally validated prediction model.

Cuihua Zhou, Shujuan Yang, Xiuhua Zhang, Hongbiao Yu, Mei Song, Qian Rao

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Article in Archives of gynecology and obstetrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Cuihua Zhou *Department of Obstetrics, Beijing Anzhen Nanchong Hospital of Capital Medical University & Nanchong Central Hospital, Shunqing District, Nanchong City, 637000, Sichuan Province, China.
Shujuan Yang *Department of Obstetrics, Beijing Anzhen Nanchong Hospital of Capital Medical University & Nanchong Central Hospital, Shunqing District, Nanchong City, 637000, Sichuan Province, China. 173783525@qq.com.
Xiuhua ZhangDepartment of Obstetrics, Beijing Anzhen Nanchong Hospital of Capital Medical University & Nanchong Central Hospital, Shunqing District, Nanchong City, 637000, Sichuan Province, China.
Hongbiao YuDepartment of Obstetrics, Beijing Anzhen Nanchong Hospital of Capital Medical University & Nanchong Central Hospital, Shunqing District, Nanchong City, 637000, Sichuan Province, China.
Mei SongDepartment of Obstetrics, Beijing Anzhen Nanchong Hospital of Capital Medical University & Nanchong Central Hospital, Shunqing District, Nanchong City, 637000, Sichuan Province, China.
Qian RaoDepartment of Obstetrics, Beijing Anzhen Nanchong Hospital of Capital Medical University & Nanchong Central Hospital, Shunqing District, Nanchong City, 637000, Sichuan Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aims to elucidate the risk factors contributing to postpartum hemorrhage (PPH) in women undergoing pregnancy termination due to fetal malformations and to construct a predictive model.

methodsA retrospective study of 268 women after termination for fetal malformations was conducted. Logistic regression identified risk factors for postpartum hemorrhage, and a nomogram was constructed. Model discrimination, calibration, and goodness of fit were evaluated using the AUC, Hosmer-Lemeshow test, and 1,000 bootstrap resampling iterations.

resultsGravidity, placental adhesion/retention, history of uterine surgery, pregnancy-induced hypertension, and uterine atony were identified as independent risk factors for PPH in women undergoing termination for fetal malformations (P < 0.05). The predictive model demonstrated an overall accuracy of 89.55% (95% CI 85.31-92.67%), with a sensitivity of 37.14% (95% CI 23.17-53.66%), specificity of 97.42% (95% CI 94.50-98.81%), positive predictive value of 68.42% (95% CI 46.01-84.64%), and negative predictive value of 91.16% (95% CI 86.99-94.09%). The discriminative ability of the model was evaluated using the ROC curve, yielding an AUC of 0.8445 (95% CI 0.7731-0.9158, P < 0.0001).

conclusionOur proposed model may help identify a subset of women at increased risk of PPH after termination for fetal malformations and support clinical preparedness following internal validation. Further validation in independent cohorts is needed before broader clinical application.

Indexed as

Abortion, InducedCongenital AbnormalitiesPostpartum HemorrhageAdultFemaleHumansLogistic ModelsNomogramsPrediction AlgorithmsPredictive Value of TestsPregnancyRetrospective StudiesRisk FactorsUterine InertiaFetal malformationsLogistic regression modelPostpartum hemorrhageRisk factorsRisk prediction

Identifiers

PMID42429827
PMCPMC13638673

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.