J Oral Med Oral Surg
Volume 29, Number 2, 2023
|Number of page(s)||8|
|Published online||11 August 2023|
Original Research Article
Clinical characteristics and management of odontogenic necrotizing fasciitis: a retrospective study
Stomatology Maxillofacial Reconstructive and Aesthetic Surgery Department, Mohamed Tahar Maamouri University Hospital, Nabeul, Tunisia
* Correspondence: firstname.lastname@example.org
Accepted: 12 July 2023
Background: Life-threatening illnesses like necrotizing fasciitis (NF) from dental origin arise suddenly and unexpectedly as a result of the debilitating condition and frequent self-medicating behaviour. This article aims to report the medical and therapeutic characteristics of 15 patients while discussing risk factors, pathogenetic mechanisms and management of this disease. Method: From 2012 up to 2022, a retrospective chart study of patients with odontogenic NF was carried out. Demographic, medical and therapeutic data were collected and analysed, using the Excel program. Results: Fifteen patients were identified with retrievable medical records. There was a male predominance, and the age ranged from 13 to 82 years with a majority over 40 years. Preadmission delay was ≤4 days in 40% of patients with self-medication of non-steroid anti-inflammatory drugs. 53.85% of patients had previous dental treatment without antibiotic coverage. Rheumatoid arthritis was the predominant comorbidity followed by diabetes mellitus and anaemia. Multispace involvement was found in 73.33% of patients. Preoperative computed tomography was performed for 60% of patients. Conclusion: Prompt and efficient treatment is required for NF, a polymicrobial odontogenic infection that is lethal even in healthy people. Self-medication and debilitating condition should be considered. Early diagnosis and therapy may reduce mortality and morbidity.
Key words: Computed tomography / necrotizing fasciitis / polymicrobial Infection
© The authors, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.