Evaluation of obesity and age as a predictive factor of lower extremity compartment syndrome: A national trauma data bank analysis.

Acute care Acute compartment syndrome Body mass index Gender Orthopaedic trauma Risk factors

Journal

American journal of surgery
ISSN: 1879-1883
Titre abrégé: Am J Surg
Pays: United States
ID NLM: 0370473

Informations de publication

Date de publication:
16 Apr 2024
Historique:
received: 04 02 2024
revised: 02 04 2024
accepted: 10 04 2024
medline: 24 4 2024
pubmed: 24 4 2024
entrez: 23 4 2024
Statut: aheadofprint

Résumé

Risk factors of acute compartment syndrome (ACS) of the leg include tibial fractures followed by soft tissue injuries. Data collected from the National Trauma Data Bank (NTDB) between 2017 and 2019 were analyzed for adult patients with lower extremity fractures, including proximal tibia, tibial shaft, and distal tibia. The primary outcome was a diagnosis of ACS. There were 1052/220,868 patients with lower extremity fractures with a concomitant diagnosis of compartment syndrome. Our study has shown that patients with a BMI of ≥30 had a lower incidence of compartment syndrome when compared with patients with a BMI of 25-29 and controlled for fracture type. Increased age ≥55 in males, and females between 65 and 84, also demonstrated a decreased risk. Proximal tibial fractures (n ​= ​54,696) were significantly associated with ACS compared to midshaft (n ​= ​42,153) and distal (n ​= ​100,432), p ​< ​0.0001. We found that being overweight decreases risk for development of compartment syndrome in patients with lower extremity fractures. This big data study aids in establishing risk factors for development of ACS in adult trauma patients.

Sections du résumé

BACKGROUND BACKGROUND
Risk factors of acute compartment syndrome (ACS) of the leg include tibial fractures followed by soft tissue injuries.
METHODS METHODS
Data collected from the National Trauma Data Bank (NTDB) between 2017 and 2019 were analyzed for adult patients with lower extremity fractures, including proximal tibia, tibial shaft, and distal tibia. The primary outcome was a diagnosis of ACS.
RESULTS RESULTS
There were 1052/220,868 patients with lower extremity fractures with a concomitant diagnosis of compartment syndrome. Our study has shown that patients with a BMI of ≥30 had a lower incidence of compartment syndrome when compared with patients with a BMI of 25-29 and controlled for fracture type. Increased age ≥55 in males, and females between 65 and 84, also demonstrated a decreased risk. Proximal tibial fractures (n ​= ​54,696) were significantly associated with ACS compared to midshaft (n ​= ​42,153) and distal (n ​= ​100,432), p ​< ​0.0001.
CONCLUSION CONCLUSIONS
We found that being overweight decreases risk for development of compartment syndrome in patients with lower extremity fractures. This big data study aids in establishing risk factors for development of ACS in adult trauma patients.

Identifiants

pubmed: 38653707
pii: S0002-9610(24)00230-7
doi: 10.1016/j.amjsurg.2024.04.013
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors have no known conflicts of interest associated with this publication to disclose. The authors all approved this manuscript for publication after editing and careful re-review. The order of authors listed has been approved by the participating authors.

Auteurs

Jonathan J Light (JJ)

Eastern Virginia Medical School, Norfolk, VA, USA.

Jana M Davis (JM)

Penn State College of Medicine, M.S. Hershey Medical Center, Hershey, PA, USA.

Jackie Dunahoe (J)

Washington University Department of Orthopaedic Surgery, St. Louis, MO, USA.

Dustin Stwalley (D)

Washington University Institute for Informatics, Data Sciences and Biostatistics, St. Louis, MO, USA.

Anna N Miller (AN)

Washington University Department of Orthopaedic Surgery, St. Louis, MO, USA.

Lisa K Cannada (LK)

Novant Health Orthopaedic Fracture Clinic, University of North Carolina School of Medicine, Charlotte Campus, Charlotte, NC, USA. Electronic address: cannada.lisa@gmail.com.

Classifications MeSH