The impact of both-bone forearm fractures on acute compartment syndrome: An analysis of predisposing factors

Objectives: Acute compartment syndrome (ACS) is a severe medical condition that, if left untreated, can cause permanent nerve and muscle damage, and may even require amputation. The objective of this study was to identify the risk factors associated with the development of ACS in patients with both-bone fractures of the forearm.Methods: Between November 2013 and January 2021, a retrospective data collection was conducted on 611 individuals who experienced both-bone forearm fractures at a level 1 trauma center. Among these patients, 78 patients were diagnosed with ACS, while the remaining 533 patients did not have ACS. Based on this division, the patients were categorized into two groups: the ACS group and the non-ACS group. Demographics (including factors such as age, gender, body mass index, crush injury, etc.), comorbidities (including conditions such as diabetes, hypertension, heart disease, anemia, etc.), and admission lab results (including complete blood count, comprehensive metabolic panel, and coagulation profiles, etc.) were analyzed using univariate analysis, logistic regression, and ROC curve analysis.Results: Predictors of ACS were identified through the final multivariable logistic regression analysis, which revealed that crush injury (p < 0.001, OR =10.930), the levels of neutrophils (NEU) (p < 0.001, OR =1.338) and the levels of creatine kinase (CK) (p < 0.001, OR = 1.001) were significant risk factors. Additionally, age (p = 0.045, OR = 0.978) and albumin (ALB) level (p < 0.001, OR = 0.798) were found to provide protective effects against ACS. Furthermore, the receiver operating characteristic (ROC) curve analysis determined cut-off values for NEU and CK to predict ACS: 7.01/L and 669.1 U/L respectively.Conclusions: Our study identified crush injury, NEU, and CK as significant risk factors for ACS in patients with both-bone forearm fractures. We also determined the cut-off values of NEU and CK, allowing for the individualized evaluation of ACS risk and the implementation of early targeted treatments.