Evidence map›Paper›PMID 42824681›Full record

ArticleEuropean journal of obstetrics & gynecology and reproductive biology: X2026

Prenatal predictors of severe maternal outcomes in placenta accreta spectrum: A multicenter cohort study in China.

Shuai Zeng, Dunjin Chen, Aiqing Zhang, Yiwen Chong, Lili Du, Wanjiang Zeng, Yangyu Zhao, Lian Chen

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Article in European journal of obstetrics & gynecology and reproductive biology: X, 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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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Shuai ZengDepartment of Obstetrics and Gynecology, Peking University Third Hospital, China.
Dunjin ChenDepartment of Obstetrics and Gynecology, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, China.
Aiqing ZhangDepartment of Obstetrics and Gynecology, Peking University Third Hospital, China.
Yiwen ChongDepartment of Obstetrics and Gynecology, Peking University Third Hospital, China.
Lili DuDepartment of Obstetrics and Gynecology, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, China.
Wanjiang ZengTongji Hospital, Tongji Medical College, Huazhong University of Technology and Science, China.
Yangyu ZhaoDepartment of Obstetrics and Gynecology, Peking University Third Hospital, China.
Lian ChenDepartment of Obstetrics and Gynecology, Peking University Third Hospital, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To identify preoperative risk factors and develop predictive models for severe postpartum hemorrhage (PPH) (≥2000 mL) and hysterectomy in patients with placenta accreta spectrum (PAS). Methods: This retrospective multicenter cohort study included 508 patients diagnosed with PAS. Medical history, timing of ultrasound diagnosis (TUD), specific sonographic signs, and pre-delivery laboratory parameters were analyzed. Multivariate logistic regression was employed to identify independent risk factors for severe PPH and hysterectomy. Model discrimination was evaluated using the area under the receiver operating characteristic curve (AUC). Results: Severe PPH occurred in 138 (27.2%) patients, and 90 (17.7%) underwent hysterectomy. Independent predictors for severe PPH included TUD in the first or second trimester (odds ratio [OR] 9.45 and 5.97, respectively), presence of placental lacunae (OR 1.75), and prolonged preoperative prothrombin time (PT) (OR 1.35). For hysterectomy, independent risk factors included TUD in the first trimester (OR 8.34), placental lacunae feeder vessels (OR 3.07), bladder wall interruption (OR 2.88), and prolonged preoperative activated partial thromboplastin time (APTT) (OR 1.19). The predictive models showed good performance, with an AUC of 0.744 (95% CI 0.696-0.792) for severe PPH and 0.831 (95% CI 0.788-0.875) for hysterectomy. Conclusion: Preoperative risk stratification for PAS could be improved by integrating routinely available coagulation profiles and specific sonographic findings. Early ultrasound identification of PAS-related signs and prolonged preoperative PT and APTT may indicate an increased risk of severe complications. Placental lacunae feeder vessels, bladder wall interruption may provide additional prognostic value for hysterectomy and severe PPH.

Indexed as

Coagulation profileHysterectomyPlacenta accreta spectrumPostpartum hemorrhagePrenatal ultrasound

Identifiers

PMID42824681
PMCPMC13627801

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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.