ArticleInternational orthopaedics2023
Predictors of muscle necrosis in patients with acute compartment syndrome.
Article in International orthopaedics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed, 8 citations in OpenAlex.
- A nomogram for predicting ischaemic muscle sequelae after revascularization in patients with traumatic femoral-popliteal artery injuries: a retrospective cohort study.International orthopaedics · 2025Article
- Serum inflammation-related proteins in a acute compartment syndrome rat model.Scientific reports · 2025Article
- Predicting Infection Risk in Acute Compartment Syndrome: A Nomogram Model Based on Admission Blood Indicators.International journal of general medicine · 2025Article
- Predictors of amputation in patients with acute compartment syndrome after tibial fracture: a nomogram prediction model.Journal of orthopaedic surgery and research · 2024Article
- Limb circumference measurements contributing to the diagnosis of snake venom-induced compartment syndrome.Heliyon · 2024Article
- Letter to the editor on "Predictors of muscle necrosis in patients with acute compartment syndrome".International orthopaedics · 2023Article
- Olink proteomics analysis uncovers the landscape of inflammation-related proteins in patients with acute compartment syndrome.Frontiers in immunology · 2023Article
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5 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
purposeThe predictors of muscle necrosis after acute compartment syndrome (ACS) remain debated. This study aimed to investigate the predictors for muscle necrosis in ACS patients.
methodsWe collected data on ACS patients following fractures from January 2010 to November 2022. Patients were divided into the muscle necrosis group (MG) and the non-muscle necrosis group (NG). The demographics, comorbidities, and admission laboratory indicators were computed by univariate analysis, logistic regression analysis, and receiver-operating characteristic (ROC) curve analysis.
resultsIn our study, the rate of MN was 37.6% (83 of 221). Univariate analysis showed that numerous factors were associated with muscle necrosis following ACS. Logistic regression analysis indicated that crush injury (p = 0.007), neutrophil (NEU, p = 0.001), creatine kinase myocardial band (CKMB, p = 0.047), and prothrombin time (PT, p = 0.031) were risk factors. Additionally, ROC curve analysis identified 11.415 10
conclusionsOur findings showed that crush injury and the level of NEU, CKMB, and PT were risk factors for muscle necrosis after ACS. Additionally, we also identified the cut-off values of NEU, CKMB, and PT and found the combination of crush injury, PT, and NEU with the highest diagnostic accuracy, helping us individualize the assessment risk of muscle necrosis to manage early targeted interventions.
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