Traumatic abdominal wall hernias: disruptions of the abdominal wall muscles associated to pelvic bone fractures illustrated by two case reports.

Details

Ressource 1Download: Article - Traumatic abdominal wall hernias disruptions of the abdominal wall muscles associated to pelvic bone fractures illustrated by two case reports - BMC Surgery 2020.pdf (1177.98 [Ko])
State: Public
Version: Final published version
License: CC BY 4.0
Serval ID
serval:BIB_A3EBED38D5C1
Type
Article: article from journal or magazin.
Publication sub-type
Case report (case report): feedback on an observation with a short commentary.
Collection
Publications
Institution
Title
Traumatic abdominal wall hernias: disruptions of the abdominal wall muscles associated to pelvic bone fractures illustrated by two case reports.
Journal
BMC surgery
Author(s)
Delaune L., Steinmetz S., Heutschi-Öztürk H., Borens O.
ISSN
1471-2482 (Electronic)
ISSN-L
1471-2482
Publication state
Published
Issued date
27/10/2020
Peer-reviewed
Oui
Volume
20
Number
1
Pages
253
Language
english
Notes
Publication types: Journal Article
Publication Status: epublish
Abstract
Blunt abdominal traumas are often associated with intra-abdominal injuries and pelvic fractures. Traumatic abdominal wall hernias due to disruption of the abdominal wall muscles may be overlooked. Delayed diagnosis can lead to hernia related complications.
We present two cases of high kinetic trauma with pelvic fractures and acute traumatic abdominal wall herniation. Both of these cases suffered from a delayed diagnosis and needed surgery to treat the symptomatic herniation.
Clinical reassessment and appropriate medical imaging are mandatory in patients with high kinetic abdominal blunt traumas and associated pelvic fracture, in order to prevent delayed diagnosis and possible complications.
Keywords
Abdominal wall disruption, Blunt abdominal trauma, Pelvic fractures, Traumatic abdominal wall hernia
Pubmed
Web of science
Open Access
Yes
Create date
02/11/2020 13:39
Last modification date
09/12/2020 7:24
Usage data