A predictive nomogram-based model for lower extremity compartment syndrome after trauma in the United States: a retrospective case-control study.

ABSTRACT:

Purpose

The aim of this study was to utilize the American College of Surgeons Trauma Quality Improvement Program (TQIP) database to identify risk factors associated with developing acute compartment syndrome (ACS) following lower extremity fractures. Specifically, a nomogram of variables was constructed in order to propose a risk calculator for ACS following lower extremity trauma.

Methods

A large retrospective case-control study was conducted using the TQIP database to identify risk factors associated with developing ACS following lower extremity fractures. Multivariable regression was used to identify significant risk factors and subsequently, these variables were implemented in a nomogram to develop a predictive model for developing ACS.

Results

Novel risk factors

SUBMITTER: Callahan B 

PROVIDER: S-EPMC11309193 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature