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Development and Validation of a Nomogram for Predicting the Risk of Postoperative Fracture Blister after Pilon Fracture

Peiyuan Wang,Chengsi Li, Lin Liu, Zihang Zhao, Zhiang Zhang,Kuo Zhao,Wei Chen,Yingze Zhang,Lin Jin,Zhiyong Hou

FRONTIERS IN SURGERY(2024)

Hebei Med Univ

Cited 0|Views3
Abstract
BackgroundFracture blister (FB) is one of the most common complications in pilon fractures. This study aimed to construct and validate a nomogram for predicting postoperative FB risk in patients with pilon fractures.MethodsWe retrospectively collected information on 1,119 patients with lower extremity fractures in the 3rd Hospital of Hebei Medical University between January 2023 and January 2024. Patients with FBs were considered as the FB group and those without FB as the non-FB group. 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 FB. The selected predictors were then entered into R software for further analysis and Nomogram construction.ResultsIn our research, the rate of FB (119 of 1,119) was 10.63%. Several predictors of FB were found using univariate analysis, including body mass index (BMI) (p < 0.001), the presence of DVT (p < 0.001), closed fractures (p < 0.001), time from injury to admission (p < 0.001), smoking history (p < 0.01), not utilizing dehydrating agents (p < 0.010), fixation mode of fracture (p < 0.001), the mode of surgical suture (p < 0.001), postoperative infection (p < 0.001) and Elixhauser comorbidity index (ECI) (p < 0.01). In addition, FB group exhibited significantly higher levels of blood serum indicators, such as EOS (p = 0.029), HCT (p < 0.01), LYM (p = 0.01), MPV (p = 0.014), NEU (p < 0.01), CKMB (p < 0.01), PLT (p < 0.01), ALB (p < 0.01), ALP (p < 0.01), AST (p < 0.01), CK (p = 0.019), CREA(p < 0.01), DBIL (p < 0.01), GLU (p < 0.01), Na (p < 0.01), P (p < 0.01), TC (p = 0.024), ALT (p < 0.01), TCO2 (p < 0.01), TG (p < 0.01), TP (p < 0.01), UA (p = 0.018), UREA (p = 0.033) compared to the non-FB group. According to the stepwise logistic regression analysis, higher BMI (p = 0.011, OR 0.873, 95% CI 0.785–0.970), NEU (p = 0.036, OR 0.982, 95% CI 0.865–0.995) and CKMB (p < 0.014, OR 0.994, 95% CI 0.989–0.999) were associated with increased FB risk, while plate fixation (p = 0.017, OR 0.371, 95% CI 0.123–0.817), the mode of surgical suture (p < 0.01, OR 0.348, 95% CI 0.161–0.749), and postoperative infection (p = 0.020, OR 0.406, 95% CI 0.190–0.866) were also correlated with increased FB risk. The nomogram was established based on 6 predictors independently related to FB.ConclusionsOur investigation has shown that BMI, NEU, CKMB, plate fixation, the mode of surgical suture, and postoperative infection are independent risk factors for FB in patients with pilon fractures. The predictors identified by the nomogram could potentially be used to assess the possibility of blister formation, which could be a sign of fascial compartmental pressure release.
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fracture blister,pilon fractures,postoperation,body mass index,neutrophil,creatine kinase (MB form),plate fixation,the mode of surgical suture
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要点】:本研究构建并验证了一种新的预测模型(列线图),用于预测患有pilon骨折的患者术后发生骨折水疱的风险,确定了六个独立的风险因素:BMI、NEU、CKMB、钢板固定、手术缝合方式和术后感染。

方法】:通过回顾性收集1,119名在河北医科大学第三医院治疗的下肢骨折患者数据,将患有骨折水疱的患者归为FB组,未患有的归为非FB组,使用单因素分析和多因素逻辑回归分析确定与骨折水疱相关的独立风险因素,并利用这些因素在R软件中构建列线图。

实验】:实验通过回顾性分析2023年1月至2024年1月之间的患者数据完成,使用的数据集为河北医科大学第三医院下肢骨折患者信息,最终确定骨折水疱的发生率为10.63%,并通过逻辑回归分析得出独立风险因素,构建的列线图模型在验证中表现良好。