ArticleBMC musculoskeletal disorders2023
A practical nomogram for predicting amputation rates in acute compartment syndrome patients based on clinical factors and biochemical blood markers.
Article in BMC musculoskeletal disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.
- Post-fasciotomy complications in lower extremity acute compartment syndrome: a systematic review and proportional meta-analysis.European journal of orthopaedic surgery & traumatology : orthopedie traumatologie · 2025Pooled it
- Ultrasound-derived tibia-fascia angle for noninvasive assessment of intracompartmental pressure in tibial plateau fractures.PloS one · 2026Observational
- Clinical phenotypes and risk stratification for limb-threatening outcomes in acute compartment syndrome: a multicenter externally validated study.Frontiers in artificial intelligence · 2026Article
- Development and validation of a nomogram for predicting fasciotomy requirement in lower extremity arterial injuries: a retrospective case-control study.Journal of orthopaedics and traumatology : official journal of the Italian Society of Orthopaedics and Traumatology · 2025Article
- Review
- Shear wave elastography for noninvasive assessment of intracompartmental pressure in tibial plateau fractures: a cross-sectional study.Journal of orthopaedic surgery and research · 2025Article
- A nomogram for predicting ischaemic muscle sequelae after revascularization in patients with traumatic femoral-popliteal artery injuries: a retrospective cohort study.International orthopaedics · 2025Article
- Predictors of amputation in patients with acute compartment syndrome after tibial fracture: a nomogram prediction model.Journal of orthopaedic surgery and research · 2024Article
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundAmputation is a serious complication of acute compartment syndrome (ACS), and predicting the risk factors associated with amputation remains a challenge for surgeons. The aim of this study was to analyze the risk factors for amputation in patients with ACS and develop a nomogram to predict amputation risk more accurately.
methodsThe study population consisted of 143 patients (32 in the amputation group and 111 in the limb preservation group) diagnosed with ACS. LASSO and multivariate logistic regression were used to screen predictors and create a nomogram. The model's accuracy was assessed by receiver operating characteristic (ROC) curves, C-index, calibration curves, and decision curve analysis (DCA).
resultsThe predictors included cause of injury, vascular damage, shock, and fibrinogen in the nomogram. The C-index of the model was 0.872 (95% confidence interval: 0.854-0.962), and the C-index calculated by internal validation was 0.838. The nomogram's area under the curve (AUC) was 0.849, and the calibration curve demonstrated a high degree of agreement between the nomogram's predictions and actual observations. Additionally, the DCA indicated good clinical utility for the nomogram.
conclusionThe risk of amputation in ACS patients is associated with the cause of injury, vascular damage, shock, and fibrinogen. Our nomogram integrating clinical factors and biochemical blood markers enables doctors to more conveniently predict the risk of amputation in patients with ACS.
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