Post-Operative Infections in Head and Neck Cancer Surgery: Risk Factors for Different Infection Sites.

bacteremia head and neck cancer head and neck surgery pneumonia post-operative infection surgical site infection urinary tract infection

Journal

Journal of clinical medicine
ISSN: 2077-0383
Titre abrégé: J Clin Med
Pays: Switzerland
ID NLM: 101606588

Informations de publication

Date de publication:
24 Aug 2022
Historique:
received: 13 07 2022
revised: 17 08 2022
accepted: 19 08 2022
entrez: 9 9 2022
pubmed: 10 9 2022
medline: 10 9 2022
Statut: epublish

Résumé

Post-operative infections in head and neck cancer (HNC) surgery represent a major problem and are associated with an important increase in mortality, morbidity, and burden on the healthcare system. The aim of this retrospective observational study was to evaluate post-operative infections in HNC surgery and to analyze risk factors, with a specific focus on different sites of infection. Clinical data about 488 HNC patients who underwent surgery were recorded. Univariate and multivariate analyses were performed to identify risk factors for post-operative infections. Post-operative infections were observed in 22.7% of cases. Respiratory and surgical site infections were the most common. Multiple site infections were observed in 3.9% of cases. Considering all infection sites, advanced stage, tracheotomy, and higher duration of surgery were risk factors at multivariate analysis. Median hospital stay was significantly longer in patients who had post-operative infection (38 vs. 9 days). Post-operative infections may negatively affect surgical outcomes. A correct identification of risk factors may help the physicians to prevent post-operative infections in HNC surgery.

Sections du résumé

BACKGROUND BACKGROUND
Post-operative infections in head and neck cancer (HNC) surgery represent a major problem and are associated with an important increase in mortality, morbidity, and burden on the healthcare system. The aim of this retrospective observational study was to evaluate post-operative infections in HNC surgery and to analyze risk factors, with a specific focus on different sites of infection.
METHODS METHODS
Clinical data about 488 HNC patients who underwent surgery were recorded. Univariate and multivariate analyses were performed to identify risk factors for post-operative infections.
RESULTS RESULTS
Post-operative infections were observed in 22.7% of cases. Respiratory and surgical site infections were the most common. Multiple site infections were observed in 3.9% of cases. Considering all infection sites, advanced stage, tracheotomy, and higher duration of surgery were risk factors at multivariate analysis. Median hospital stay was significantly longer in patients who had post-operative infection (38 vs. 9 days).
CONCLUSIONS CONCLUSIONS
Post-operative infections may negatively affect surgical outcomes. A correct identification of risk factors may help the physicians to prevent post-operative infections in HNC surgery.

Identifiants

pubmed: 36078898
pii: jcm11174969
doi: 10.3390/jcm11174969
pmc: PMC9456570
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Giancarlo Pecorari (G)

Division of Otorhinolaryngology, Department of Surgical Sciences, University of Turin, 10126 Turin, Italy.

Giuseppe Riva (G)

Division of Otorhinolaryngology, Department of Surgical Sciences, University of Turin, 10126 Turin, Italy.

Andrea Albera (A)

Division of Otorhinolaryngology, Department of Surgical Sciences, University of Turin, 10126 Turin, Italy.

Ester Cravero (E)

Division of Otorhinolaryngology, Department of Surgical Sciences, University of Turin, 10126 Turin, Italy.

Elisabetta Fassone (E)

Division of Otorhinolaryngology, Department of Surgical Sciences, University of Turin, 10126 Turin, Italy.

Andrea Canale (A)

Division of Otorhinolaryngology, Department of Surgical Sciences, University of Turin, 10126 Turin, Italy.

Roberto Albera (R)

Division of Otorhinolaryngology, Department of Surgical Sciences, University of Turin, 10126 Turin, Italy.

Classifications MeSH