ArticleJournal of orthopaedic surgery and research2023
Predictors for surgical site infection after fasciotomy in patients with acute leg compartment syndrome.
Article in Journal of orthopaedic surgery and research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed, 9 citations in OpenAlex.
- Benchmarking Early Unplanned Trauma Re-operations: A Five-Year Institutional Review of 7,400 Orthopaedic Cases.Cureus · 2026Article
- Sepsis predictors in earthquake survivors: A comparative analysis of amputation and fasciotomy patients.Joint diseases and related surgery · 2025Article
- Predicting Infection Risk in Acute Compartment Syndrome: A Nomogram Model Based on Admission Blood Indicators.International journal of general medicine · 2025Article
- Novel perspectives on early diagnosis of acute compartment syndrome: the role of admission blood tests.Journal of orthopaedics and traumatology : official journal of the Italian Society of Orthopaedics and Traumatology · 2024Article
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Authors and funding
5 authors at 3 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundSurgical site infection (SSI) is one of the most common complications of orthopedic surgery, which can result in fever, pain, and even life-threatening sepsis. This study aimed to determine the predictors of SSI after fasciotomy in patients with acute leg compartment syndrome (ALCS).
methodsWe collected information on 125 ALCS patients who underwent fasciotomy in two hospitals between November 2013 and January 2021. Patients with SSI were considered as the SSI group and those without SSI as the non-SSI group. Univariate analysis, logistic regression analysis, and receiver operating characteristic (ROC) curve analyses were used to evaluate patient demographics, comorbidities, and admission laboratory examinations.
resultsIn our research, the rate of SSI (26 of 125) was 20.8%. Several predictors of SSI were found using univariate analysis, including body mass index (BMI) (p = 0.001), patients with open fractures (p = 0.003), and patients with a history of smoking (p = 0.004). Besides, the levels of neutrophil (p = 0.022), glucose (p = 0.041), globulin (p = 0.010), and total carbon dioxide were higher in the SSI group than in the non-SSI group. According to the results of the logistic regression analysis, patients with open fractures (p = 0.023, OR 3.714), patients with a history of smoking (p = 0.010, OR 4.185), and patients with a higher BMI (p = 0.014, OR 1.209) were related predictors of SSI. Furthermore, ROC curve analysis indicated 24.69 kg/m
conclusionsOur results revealed open fractures, BMI, and smoking history as independent risk factors for SSI following fasciotomy in patients with ALCS and determined the cut-off value of BMI, enabling us to individualize the evaluation of the risk for SSI to implement early targeted treatments.
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