Objective: The effects of pelvic artery embolization (PAE) for postpartum hemorrhage (PPH) on subsequent pregnancies have been explored in small case series and one case-control study by mailed questionnaire with uncomplicated pregnancies as controls. We conducted a single-center retrospective cohort study using women with PPH without PAE for comparison.
Study Design: From a cohort of 103 women undergoing PAE for primary PPH between January 1999 and December 2012 (exposed) and 189 pregnancies with PPH not requiring PAE between January 2008 and December 2012 (unexposed), we queried the electronic medical records for readmissions to labor and delivery in subsequent years. Outcomes of subsequent pregnancies continuing past 20 weeks were obtained by chart review.
Results: Repeat pregnancies were documented in 17 of 103 exposed women (16.5%) and 18 of 189 unexposed women (9.5%). At delivery complicated by PPH, the groups did not differ in demographics, gestational age, units of blood transfused, or PPH cause. At the time of subsequent deliveries, there was a greater interdelivery interval in women exposed to PAE than those unexposed (1710 ± 938 days vs 904 ± 358 days; P = .002), and the 2 groups were similar in terms of gestational age and birthweight. However, there was a significantly higher rate of placenta accreta in exposed than unexposed women (23.5 % vs 0%; P = .04), with 3 of 17 sustaining total abdominal hysterectomy and 1 requiring repeat PAE for severe PPH.
Conclusion: Pregnancies following PAE for PPH were more likely than those not receiving PAE for treatment to be complicated by placenta accreta. Pregnancies following PAE should be followed up for imaging evidence of placenta accreta.
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http://dx.doi.org/10.1016/j.ajog.2015.06.063 | DOI Listing |
Purpose: To compare risks of neonatal anomalies and obstetric complications among frozen-thawed embryo transfer (FET), fresh embryo transfer (FreshET), and non-assisted reproductive technology (non-ART) treatments in infertile women.
Methods: This retrospective cohort study analyzed 7378 singleton births (2643 non-ART, 4219 FET, 516 FreshET) from 2013 to 2022. Outcomes were compared using inverse probability weighting regression adjustment, with adjustment for maternal factors.
World J Emerg Surg
January 2025
The Research Office, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates.
Background: Postpartum hemorrhage (PPH) is one of the leading preventable causes of maternal morbidity and mortality causing one-fourth of all maternal deaths. We aimed to study the role of uterine artery embolization (UAE) in controlling PPH and its impact on the need for hysterectomy.
Methods: We studied patients who were diagnosed with primary PPH between February 2012 and March 2020 at Al Ain Hospital, United Arab Emirates.
Acta Radiol
January 2025
Department of Diagnostic and Therapeutic Radiology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Background: Cesarean hysterectomy in the placenta accreta spectrum (PAS) remains challenging due to difficulty in controlling perioperative bleeding.
Purpose: To compare the effectiveness and safety of perioperative balloon occlusion with versus without pelvic artery embolization in PAS women who underwent a cesarean hysterectomy.
Material And Methods: A total of 26 pathological confirmed cases of PAS were retrospectively reviewed and categorized into two groups: perioperative balloon occlusion at either the anterior division of the internal iliac artery or uterine artery followed by gelfoam embolization (n = 12, study group) and perioperative balloon occlusion alone (n = 14, control group).
Eur J Obstet Gynecol Reprod Biol X
March 2025
Mother and Newborn Health Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
This review examines the emerging applications of machine learning (ML) and radiomics in the diagnosis and prediction of placenta accreta spectrum (PAS) disorders, addressing a significant challenge in obstetric care. It highlights recent advancements in ML algorithms and radiomic techniques that utilize medical imaging modalities like magnetic resonance imaging (MRI) and ultrasound for effective classification and risk stratification of PAS. The review discusses the efficacy of various deep learning models, such as nnU-Net and DenseNet-PAS, which have demonstrated superior performance over traditional diagnostic methods through high AUC scores.
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