Predictors of Facial Fractures in Trauma Patients: Retrospective Review at a Level I Trauma Center.


Journal

The American surgeon
ISSN: 1555-9823
Titre abrégé: Am Surg
Pays: United States
ID NLM: 0370522

Informations de publication

Date de publication:
Sep 2023
Historique:
medline: 16 11 2023
pubmed: 1 8 2023
entrez: 1 8 2023
Statut: ppublish

Résumé

The incidence and causes of facial fractures differ between patients, but patterns arise within populations. These patterns vary by gender, age, and between countries. This study aims to determine variables to identify patients at risk for facial fractures in a United States trauma population. This is a single-center study of Trauma Registry data, inclusive of years July 1, 2016, to January 31, 2022. Inclusion criteria were based upon all trauma patients. Confirmation of a non-isolated facial fracture (dependent variable) was verified using ICD10 diagnosis codes. A logistic regression was performed in SPSS to ascertain the effects of predictor variables on the likelihood that a trauma patient will experience a facial fracture. 20377 patients were included in the analysis based upon the requirements specified in the methods section; 1575 (7%) had a positive facial fracture. The logistic regression model was statistically significant (N = 18507, Patients with traumatic injuries from assault, moped, and motorcycle accidents were more likely to present with facial fractures. These patients had more severe injuries, seen as increased ISS scores, higher likelihood of transport by helicopter, and the need for additional care after discharge.

Sections du résumé

BACKGROUND BACKGROUND
The incidence and causes of facial fractures differ between patients, but patterns arise within populations. These patterns vary by gender, age, and between countries. This study aims to determine variables to identify patients at risk for facial fractures in a United States trauma population.
METHODS METHODS
This is a single-center study of Trauma Registry data, inclusive of years July 1, 2016, to January 31, 2022. Inclusion criteria were based upon all trauma patients. Confirmation of a non-isolated facial fracture (dependent variable) was verified using ICD10 diagnosis codes. A logistic regression was performed in SPSS to ascertain the effects of predictor variables on the likelihood that a trauma patient will experience a facial fracture.
RESULTS RESULTS
20377 patients were included in the analysis based upon the requirements specified in the methods section; 1575 (7%) had a positive facial fracture. The logistic regression model was statistically significant (N = 18507,
CONCLUSIONS CONCLUSIONS
Patients with traumatic injuries from assault, moped, and motorcycle accidents were more likely to present with facial fractures. These patients had more severe injuries, seen as increased ISS scores, higher likelihood of transport by helicopter, and the need for additional care after discharge.

Identifiants

pubmed: 37526073
doi: 10.1177/00031348231173974
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

3803-3810

Déclaration de conflit d'intérêts

Declaration of Conflicting InterestsThe author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: In compliance with the ICMJE uniform disclosure form, all authors declare the following: Payment/services info: All authors have declared that no financial support was received from any organizations that might have an interest in the submitted work. Other relationships: All authors have declared that there are no other relationships or activities that could appear to have influenced the submitted work.

Auteurs

Thomas Sanders (T)

University of South Carolina School of Medicine, Columbia SC, USA.

Heather Rhodes (H)

Grand Strand Medical Center, Myrtle Beach, SC, USA.

Joseph Boscia (J)

University of South Carolina School of Medicine, Columbia SC, USA.

Saptarshi Biswas (S)

Grand Strand Medical Center, Myrtle Beach, SC, USA.

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Classifications MeSH