Predictors of Foot Acute Compartment Syndrome: Big Data analysis

Abstract

Acute compartment syndrome (ACS) in the foot is a challenging diagnosis and can lead to significant disabilities to patients. The present study aims to investigate the incidence, risk factors, demographics and association in the analysis of acute compartment syndrome (ACS) of the foot. We performed a retrospective review of the Trauma Quality Programs data from the American College of Surgeons including 70,525 patients who sustained a fracture of the foot from 2015 to 2018 (4 calendar years). Fasciotomies were performed in 0.7% of all foot fractures. Open fractures, crush injuries and multiple foot fractures were the strongest predictors of fasciotomies, with odds ratios of 2.38, 2.38 and 2.33 respectively. Being a male was associated with an increased likelihood of fasciotomies of 64% (p < .0001 O.R. = [1.42-1.90]), while a dislocation in the foot increased likelihood of fasciotomies by 48% (p = .0008 O.R. = [1.18-1.86]). Trauma centre level III had higher rate of fasciotomy than Tertiary Trauma centers. Multiple other factors were addressed while controlling for cofounders. This big data analysis provided information not previously reported on the risk factors, demographics, and clinical association of ACS in the foot.

Keywords: acute compartment syndrome; big data analysis; compartment pressure monitoring; foot compartment syndrome.