Placental uterine artery embolization followed by delayed hysterectomy for placenta percreta: A case series.

Massive transfusion protocol Morbidly adherent placenta Multidisciplinary team Placenta accreta spectrum Postpartum hemorrhage Uterine artery embolization

Journal

Gynecologic oncology reports
ISSN: 2352-5789
Titre abrégé: Gynecol Oncol Rep
Pays: Netherlands
ID NLM: 101652231

Informations de publication

Date de publication:
Aug 2021
Historique:
received: 21 04 2021
revised: 07 07 2021
accepted: 11 07 2021
entrez: 9 8 2021
pubmed: 10 8 2021
medline: 10 8 2021
Statut: epublish

Résumé

We describe outcomes of patients with suspected placenta percreta treated with placental uterine artery embolization (P-UAE) followed by delayed hysterectomy. This is a prospective case series of subjects from 2005 to 2018 with suspected placenta percreta who underwent P-UAE at the time of cesarean delivery followed by delayed hysterectomy. Both scheduled and unscheduled surgical cases were included. Maternal characteristics, surgical approaches, intra- and postoperative outcomes were abstracted from medical records. In total, twenty-two subjects were included. Median (interquartile range, IQR) delivery gestational age was 34.6 (31.9, 35.7) weeks, occurring as scheduled in 17 (77.3%) subjects and unscheduled in 5 (22.7%). Delayed hysterectomy was performed as scheduled in 17 (77.3%) subjects at a median (IQR) 40.5 (38.0, 44.0) days after delivery, and 5 (22.7%) subjects had a hysterectomy prior to scheduled date, median (IQR) 27.0 (17.0, 35.0) days after delivery. Indications for the 5 unscheduled hysterectomies included bleeding (n = 3) and suspected endometritis (n = 2). Three subjects (13.6%) received a blood transfusion (1, 3, 3 units) during delivery, and 7 (31.8%) were transfused during delayed hysterectomy (median [IQR] 2 [1,3] units). Three (13.6%) subjects had bladder resection at the time of hysterectomy; 1 (4.5%) had an unintentional cystotomy and 1 (4.5%) had a ureteral injury. P-UAE followed by delayed hysterectomy appears to be a safe and feasible, although appropriate patient selection and close surveillance are imperative, as 22.7% of patients underwent unscheduled hysterectomy.

Identifiants

pubmed: 34368412
doi: 10.1016/j.gore.2021.100833
pii: S2352-5789(21)00137-5
pmc: PMC8326725
doi:

Types de publication

Case Reports

Langues

eng

Pagination

100833

Informations de copyright

© 2021 The Authors.

Déclaration de conflit d'intérêts

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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Auteurs

Luke A Gatta (LA)

Division of Maternal-Fetal Medicine, Duke University Hospital, Durham, NC, USA.

Paula S Lee (PS)

Division of Gynecologic Oncology, Duke Cancer Institute, Duke University Hospital, Durham, NC, USA.

Jennifer B Gilner (JB)

Division of Maternal-Fetal Medicine, Duke University Hospital, Durham, NC, USA.

Jeremy M Weber (JM)

Department of Biostatistics & Bioinformatics, Duke University Hospital, Durham, NC, USA.

LaMani Adkins (L)

Department of Obstetrics & Gynecology, Duke University Hospital, Durham, NC, USA.

Julia R Salinaro (JR)

Department of Obstetrics & Gynecology, Duke University Hospital, Durham, NC, USA.

Ashraf S Habib (AS)

Department of Anesthesiology, Duke University Hospital, Durham, NC, USA.

Waleska Pabon-Ramos (W)

Department of Radiology and Medicine, Duke University Hospital, Durham, NC, USA.

Kyle C Strickland (KC)

Department of Pathology, Duke University Hospital, Durham, NC, USA.

James Ronald (J)

Department of Radiology and Medicine, Duke University Hospital, Durham, NC, USA.

Alaattin Erkanli (A)

Department of Biostatistics & Bioinformatics, Duke University Hospital, Durham, NC, USA.

Jennifer E Mehdiratta (JE)

Department of Anesthesiology, Duke University Hospital, Durham, NC, USA.

Chad A Grotegut (CA)

Division of Maternal-Fetal Medicine, Duke University Hospital, Durham, NC, USA.

Angeles Alvarez Secord (AA)

Division of Gynecologic Oncology, Duke Cancer Institute, Duke University Hospital, Durham, NC, USA.

Classifications MeSH