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Development and Validation of the Nomogram of High Fascial Compartment Pressure with Pilon Fracture

Xin Hu, Peiyuan Wang, Chengsi Li, Lin Liu,Xin Wang,Lin Jin,Kuo Zhao,Ling Wang,Zhiyong Hou

International Orthopaedics(2025)

The Third Hospital of Hebei Medical University | Orthopaedic Research Institute of Hebei Province

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Abstract
High Fascial Compartment Pressure (HCP) is one of the most common complications in ankle fractures. This study aimed to investigate the incidence of HCP in pilon fracture and analyze the risk factors of HCP in order to closely monitor its further development into Acute Compartment Syndrome. A nomogram is constructed and validated to predict HCP in patients with pilon fracture. We collected information on 1,863 patients with pilon fracture in the 3rd Hospital of Hebei Medical University Hospital from January 2019 to March 2024. Patients with HCP were assigned to the HCP group and those without HCP to the non-HCP group. The inpatient medical record system was inquired for data collection, including demographics, comorbidities, injury types, and laboratory biomarkers. Variables with a significance level of P < 0.05 in the univariate analysis were included in the multivariate logistic regression analysis. The backward stepwise regression method was applied to identify independent risk factors associated with HCP. The selected predictors were then entered into R software for further analysis, and Nomogram construction. The rate of HCP was 11.57
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Key words
High fascial compartment pressure,Acute compartmental syndrome,Pilon fracture,Predictors,Nomogram,Systemic immune-inflammation index
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要点】:本研究旨在探究跟骨骨折患者中高筋膜室压力(HCP)的发生率及其风险因素,并构建了一个用于预测HCP发生的诺模图,创新点在于提出了一个专门针对跟骨骨折患者的HCP预测模型。

方法】:通过回顾性分析河北医科大学第三医院2019年1月至2024年3月间1863例跟骨骨折患者的信息,包括人口学数据、合并症、受伤类型和实验室生物标志物等,利用单因素分析和多因素逻辑回归方法确定与HCP相关的独立风险因素,并使用R软件构建诺模图。

实验】:研究收集了1863例跟骨骨折患者的数据,将这些患者分为HCP组和非HCP组,利用医院住院病历系统查询相关数据,最终得到HCP发生率为11.57%,并使用这些数据验证了诺模图的预测准确性。