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Five Predictors Affecting the Prognosis of Patients with Severe Odontogenic Infections

Background: Dental cellulitis management is no longer a simple procedure, as more and more patients are needing long-time hospitalization, several surgeries and intensive care follow-up. This prospective study seeks to highlight criteria that can split patients with severe odontogenic infection into...

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Autores principales: Pham Dang, Nathalie, Delbet-Dupas, Candice, Mulliez, Aurélien, Devoize, Laurent, Dallel, Radhouane, Barthélémy, Isabelle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7730806/
https://www.ncbi.nlm.nih.gov/pubmed/33266250
http://dx.doi.org/10.3390/ijerph17238917
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author Pham Dang, Nathalie
Delbet-Dupas, Candice
Mulliez, Aurélien
Devoize, Laurent
Dallel, Radhouane
Barthélémy, Isabelle
author_facet Pham Dang, Nathalie
Delbet-Dupas, Candice
Mulliez, Aurélien
Devoize, Laurent
Dallel, Radhouane
Barthélémy, Isabelle
author_sort Pham Dang, Nathalie
collection PubMed
description Background: Dental cellulitis management is no longer a simple procedure, as more and more patients are needing long-time hospitalization, several surgeries and intensive care follow-up. This prospective study seeks to highlight criteria that can split patients with severe odontogenic infection into two groups: those with simple evolution and those for whom complex management is necessary. Methods: In this observational study, all patients considered with a severe odontogenic infection (which necessitated hospital admission, intravenous antibiotics and general anaesthesia) were enrolled between January 2004 and December 2014 from Clermont-Ferrand University Hospital (France). They were split into two groups: those who needed one surgical intervention with tooth extraction and collection drainage combined with probabilistic antibiotic to treat infection and those who need several surgeries, intensive care unit follow-up or tracheotomy to achieve healing. Results: 653 patients were included, of which 611 (94%) had one surgery, 42 (6%) had more than one surgery before healing. Penicillin allergy (p < 0.001), psychiatric disorders (p = 0.005), oropharyngeal oedema (p = 0.008), floor oedema (p = 0.004), fever (p = 0.04) and trismus (p = 0.018) on admission were the most relevant predictors of complex evolution. A conditional inference tree (CTREE) illustrated the association of prognostic factors and the need of multiple surgery. Conclusions: Besides clinical symptoms of severity, complications of severe odontogenic infection are predicted by measurables and objectives criteria as penicillin allergy, mandibular molar, C-reactive protein level, psychiatric disorders and alcohol abuse. Their specific association potentialize the risks. IRB number: CE-CIC-GREN-12-08.
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spelling pubmed-77308062020-12-12 Five Predictors Affecting the Prognosis of Patients with Severe Odontogenic Infections Pham Dang, Nathalie Delbet-Dupas, Candice Mulliez, Aurélien Devoize, Laurent Dallel, Radhouane Barthélémy, Isabelle Int J Environ Res Public Health Article Background: Dental cellulitis management is no longer a simple procedure, as more and more patients are needing long-time hospitalization, several surgeries and intensive care follow-up. This prospective study seeks to highlight criteria that can split patients with severe odontogenic infection into two groups: those with simple evolution and those for whom complex management is necessary. Methods: In this observational study, all patients considered with a severe odontogenic infection (which necessitated hospital admission, intravenous antibiotics and general anaesthesia) were enrolled between January 2004 and December 2014 from Clermont-Ferrand University Hospital (France). They were split into two groups: those who needed one surgical intervention with tooth extraction and collection drainage combined with probabilistic antibiotic to treat infection and those who need several surgeries, intensive care unit follow-up or tracheotomy to achieve healing. Results: 653 patients were included, of which 611 (94%) had one surgery, 42 (6%) had more than one surgery before healing. Penicillin allergy (p < 0.001), psychiatric disorders (p = 0.005), oropharyngeal oedema (p = 0.008), floor oedema (p = 0.004), fever (p = 0.04) and trismus (p = 0.018) on admission were the most relevant predictors of complex evolution. A conditional inference tree (CTREE) illustrated the association of prognostic factors and the need of multiple surgery. Conclusions: Besides clinical symptoms of severity, complications of severe odontogenic infection are predicted by measurables and objectives criteria as penicillin allergy, mandibular molar, C-reactive protein level, psychiatric disorders and alcohol abuse. Their specific association potentialize the risks. IRB number: CE-CIC-GREN-12-08. MDPI 2020-11-30 2020-12 /pmc/articles/PMC7730806/ /pubmed/33266250 http://dx.doi.org/10.3390/ijerph17238917 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Pham Dang, Nathalie
Delbet-Dupas, Candice
Mulliez, Aurélien
Devoize, Laurent
Dallel, Radhouane
Barthélémy, Isabelle
Five Predictors Affecting the Prognosis of Patients with Severe Odontogenic Infections
title Five Predictors Affecting the Prognosis of Patients with Severe Odontogenic Infections
title_full Five Predictors Affecting the Prognosis of Patients with Severe Odontogenic Infections
title_fullStr Five Predictors Affecting the Prognosis of Patients with Severe Odontogenic Infections
title_full_unstemmed Five Predictors Affecting the Prognosis of Patients with Severe Odontogenic Infections
title_short Five Predictors Affecting the Prognosis of Patients with Severe Odontogenic Infections
title_sort five predictors affecting the prognosis of patients with severe odontogenic infections
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7730806/
https://www.ncbi.nlm.nih.gov/pubmed/33266250
http://dx.doi.org/10.3390/ijerph17238917
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