Trial reportJournal of orthopaedic surgery and research2023
Risk factors and nomogram predictive model of surgical site infection in closed pilon fractures.
Trial report 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 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, 11 citations in OpenAlex.
- Systematic review of risk prediction models for surgical site infection after abdominal surgery in adults.Frontiers in public health · 2026Pooled it
- Risk factors for surgical site infection following posterior internal fixation of thoracolumbar fractures.Frontiers in surgery · 2026Article
- Explainable machine learning for perioperative surgical site infection risk enrichment after operative treatment of closed pilon fractures: a multicenter retrospective study with external validation.Frontiers in surgery · 2026Article
- Article
- Identifying predictors of surgical site infection in closed patellar fracture surgery: a multicenter study.Scientific reports · 2025Article
- Simple Intraoperative Method for Administration of Local Antibiotic Powder in Orthopaedic Surgery.Arthroscopy techniques · 2025Article
- Predictive model of surgical infection to enhance patient safety: A retrospective cohort study.Revista da Escola de Enfermagem da U S P · 2025Article
- Nomogram construction and validation of axial deviation in patients with tibial defects treated with the Ilizarov bone transport technique.BMC musculoskeletal disorders · 2024Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
objectivesIn this study, we try to investigate the risk factors of postoperative surgical site infection (SSI) in closed pilon fractures and establish a nomogram prediction model.
methodsFrom January 2012 to June 2021, 516 closed pilon fracture patients were included in this study. Of these, 387 patients were randomly assigned to the training group and 129 patients were assigned to the validation group (3:1). By univariate and multivariate Cox analysis, we identified independent risk factors for postoperative SSI after Pilon fracture. We established a nomogram model and used receiver operating characteristic (ROC) and calibration chart to evaluate its discriminant and calibration.
resultsSSI occurred in 71 patients in the training group and 23 patients in the validation group. Ultimately, age, preoperative blood sugar, operative time, Tscherne classification and fracture classification were identified as independent risk factors for SSI. The AUC values for SSI of the training and validation group were 0.898 and 0.880, and the P value of the Hosmer-Lemeshow test was 0.125. We established a nomogram prediction model based on age, preoperative blood sugar, operative time, Tscherne classification and fracture classification.
conclusionOur nomogram model had good discrimination and calibration power, so it could be used to predict SSI risk in patients with pilon fracture.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.