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

Treatment of bilateral Posterior Tibial Compartment Syndrome using a Novel Surgical Approach: A Case Report of the Posterior Approach

Osteofascial compartment syndrome is a serious surgical emergency that requires prompt diagnosis and treatment. It presents a challenge for surgeons due to its high disability rate and difficult management. Early fasciotomy decompression is crucial in preventing severe complications. Classic fasciotomy approaches for tibial osteofascial compartment syndrome include double-incision and single-incision techniques.This paper presents a case of a 24-year-old female with bilateral tibial posterior compartment syndrome resulting from prolonged squatting after alcohol intoxication, which is a relatively rare mechanism. We employed an innovative posterior approach to manage the patient with tibial posterior compartment syndrome. Ultimately, we successfully preserved the patient's legs and achieved a good functional recovery.The paper reported a rare case with bilateral posterior tibial compartment syndrome resulting from squatting for 10 hours after alcohol intoxication. The patient achieved favorable outcomes in lower limb function following treatment with a new fasciotomy approach, the posterior approach.The new approach for treating posterior tibial compartment syndrome can serve as a valuable reference for surgeons.

Predictors of Acute Compartment Syndrome in Patients With Forearm Fractures: A Systematic Review

Acute compartment syndrome (ACS) is a critical orthopedic and traumatology emergency arising from elevated pressure within a confined osteofascial compartment, leading to compromised blood circulation and tissue ischemia. This systematic review aims to comprehensively identify and analyze the most predictable risk factors associated with ACS development in patients with forearm fractures. Published articles on ACS were meticulously searched and evaluated on reputable medical databases such as PubMed. The keywords "risk factors associated with the ACS in patients who have sustained forearm fractures"were used to create the search syntax on various databases. Data were gathered on raw prevalence, population under study, and methodology. A total of 10 articles that met the search criteria were identified and included in this review with a total of more than 300,000 patients across the studies. Fracture-related ACS was the most common, followed by soft tissue damage among patients with forearm fractures. This review underscores fractures as primary ACS catalysts, along with the role of soft tissue trauma. Meticulous consideration of these risk factors can enhance clinical decision-making, early detection, and intervention, improving patient outcomes and care quality.

Olink proteomics analysis uncovers the landscape of inflammation-related proteins in patients with acute compartment syndrome

Purpose

Our primary purpose was to explore the landscape of inflammation-related proteins, and our second goal was to investigate these proteins as potential biomarkers of acute compartment syndrome (ACS), which is a serious complication of tibial fractures.

Methods

We collected sera from 15 healthy subjects (control group, CG) and 30 patients with tibial fractures on admission day, comprising 15 patients with ACS (ACS group, AG) and 15 patients without ACS (fracture group, FG). Ten samples in each group were analyzed by the inflammation panel of Olink Proteomics Analysis, and all samples were verified by an ELISA. Receiver-operating characteristic (ROC) curve analysis was performed to identify the diagnostic ability and cutoff values of potential biomarkers.

Results

Our findings showed that the levels of IL6, CSF-1, and HGF in the FG were significantly higher than those in the CG. Similar results were found between the AG and CG, and their cutoff values for predicting ACS compared with the CG were 9.225 pg/ml, 81.04 pg/ml, and 0.3301 ng/ml, respectively. Furthermore, their combination had the highest diagnostic accuracy. Notably, compared with FG, we only found a higher expression of CCL23 in the AG. Additionally, we identified 35.75 pg/ml as the cutoff value of CCL23 for predicting ACS in patients with tibial fractures.

Conclusion

We identified CCL23 as a potential biomarker of ACS in comparison with tibial fracture patients and the significance of the combined diagnosis of IL6, CSF-1, and HGF for predicting ACS compared with healthy individuals. Furthermore, we also found their cutoff values, providing clinicians with a new method for rapidly diagnosing ACS. However, we need larger samples to verify our results.