Evidence map›Paper›PMID 42291717›Full record

ArticleHealth science reports2026

Prevalence and Factors Associated With Urologic Injury in Patients With Placenta Accreta Spectrum Undergoing Cesarean Hysterectomy Over a 10-Year Retrospective Cohort at a Tertiary Referral Center in Shiraz, Iran.

Shaghayegh Moradi Alamdarloo, Zahra Ovaisi, Hamide Barzegar, Soroush Sadr, Alireza Dehghanmanshadi, Erfan Taherifard, Aazam Faraji, Khadije Bazrafshan, Mohammad Reza Ensafdaran, Atefe Hashemi

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Article in Health science reports, 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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2 · The registry

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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

10 authors.

Shaghayegh Moradi AlamdarlooMaternal-fetal medicine Research Center Shiraz University of Medical Sciences Shiraz Iran.ORCID https://orcid.org/0000-0002-4064-4906
Zahra OvaisiMaternal-fetal medicine Research Center Shiraz University of Medical Sciences Shiraz Iran.ORCID https://orcid.org/0000-0003-4134-9869
Hamide BarzegarNeonatal Research Center Shiraz University of Medical Sciences Shiraz Iran.ORCID https://orcid.org/0000-0003-1114-5937
Soroush SadrDepartment of Urology, Faghihi Hospital Shiraz University of Medical Sciences Shiraz Iran.ORCID https://orcid.org/0000-0001-8154-877X
Alireza DehghanmanshadiDepartment of Urology, Faghihi Hospital Shiraz University of Medical Sciences Shiraz Iran.ORCID https://orcid.org/0000-0002-7777-5934
Erfan TaherifardShiraz School for Medicine Shiraz University of Medical Sciences Shiraz Iran.ORCID https://orcid.org/0000-0002-9101-0321
Aazam FarajiMaternal-fetal medicine Research Center Shiraz University of Medical Sciences Shiraz Iran.
Khadije BazrafshanMaternal-fetal medicine Research Center Shiraz University of Medical Sciences Shiraz Iran.ORCID https://orcid.org/0000-0002-6345-1277
Mohammad Reza EnsafdaranDepartment of Urology Shiraz University of Medical Sciences Shiraz Iran.ORCID https://orcid.org/0000-0002-6398-1905
Atefe HashemiMaternal-fetal medicine Research Center Shiraz University of Medical Sciences Shiraz Iran.ORCID https://orcid.org/0009-0007-2711-8825

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aim: This study assessed the prevalence, patterns, and risk factors of urologic injuries in patients with placenta accreta spectrum (PAS) undergoing cesarean hysterectomy, aiming to help clinicians identify high-risk cases and optimize surgical planning. Methods: In this retrospective cohort study with a 6-month postoperative follow-up, patients with a diagnosis of PAS referred to Namazi Hospital for treatment between January 2015 and December 2024. These patients were monitored for 6 months after their cesarean section for long-term urologic complications, and their demographic information, obstetric history, hospitalization course, and operation detail were collected. Results: A total of 115 patients (23.09%) had urologic injuries during cesarean section hysterectomy. Severe intraoperative blood loss (≥ 3000 mL), as a marker of surgical complexity, was strongly associated with urologic injury (adjusted OR 7.10, 95% CI 3.73-13.53; Conclusion: Approximately one-fifth of pregnant women with PAS undergoing cesarean hysterectomy develop urologic injuries. This emphasizes on having a multidisciplinary team of surgeons with adequate experience in the field of abnormal placental tissue involvement. Besides, efforts should be taken preoperatively with the use of sufficient diagnostic means to optimize the surgical planning and management to reduce the amount of blood loss and prevent surgical morbidities such as urologic damage.

Indexed as

cesarean hysterectomymorbid placentationplacenta accreta spectrumurinary tract injury

Identifiers

PMID42291717
PMCPMC13253982

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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.