胫骨干骨折伴后踝骨折患者临床特点及预测模型构建

李晓亮, 刘红国, 夏国峰, 孙培锋

武警医学 ›› 2026, Vol. 37 ›› Issue (6) : 466-471.

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武警医学 ›› 2026, Vol. 37 ›› Issue (6) : 466-471. DOI: 10.3969/j.issn.1004-3594.2026.06.002
论著

胫骨干骨折伴后踝骨折患者临床特点及预测模型构建

  • 李晓亮, 刘红国, 夏国峰, 孙培锋
作者信息 +

Clinical features of patients with tibial shaft fractures combined with posterior malleolar fractures and construction of prediction model

  • LI Xiaoliang, LIU Hongguo, XIA Guofeng, SUN Peifeng
Author information +
文章历史 +

摘要

目的 探讨胫骨干骨折伴后踝骨折患者临床特点并构建胫骨干骨折伴后踝骨折的预测模型。方法 回顾性分析2019-01至2024-12海军第971医院骨科收治的术前接受X线片和CT检查的胫骨干骨折患者临床资料,共167例患者入选本研究,其中男108例,女59例,平均年龄(46.6±16.2)岁。根据术前CT检查结果分为合并后踝骨折组(n=63)和胫骨干骨折组(n=104)。收集患者临床及影像学资料,通过X线片和CT图像测量骨折部位、骨折长度、骨折形状的数据,使用多因素logistic回归分析胫骨干骨折合并后踝骨折的独立危险因素,并构建预测模型。采用受试者工作特征曲线(ROC)分析诊断因素的预测结果。结果 胫骨骨折位置(OR=0.913,P=0.001)、胫骨骨折长度(OR=1.154,P<0.001)和胫骨螺旋骨折(OR=10.202,P=0.002)是胫骨骨折合并后踝骨折的独立危险因素。构建预测模型为logit(P)=-0.091×胫骨骨折位置+0.143×胫骨骨折长度+2.323×胫骨螺旋骨折(是=1,否=0)-1.193。ROC曲线分析可见预测模型较单纯胫骨骨折位置、胫骨骨折长度和胫骨螺旋骨折的AUC更大。结论 基于胫骨骨折部位、胫骨骨折长度和胫骨螺旋型骨折构建的预测模型对胫骨干骨折伴后踝骨折具有较高预测价值。

Abstract

Objective To analyze the clinical features of patients with tibial shaft fractures combined with posterior malleolar fracture and to constructional model for the fractures. Methods A retrospective analysis was conducted on the clinical data of the patients with tibial shaft fractures who underwent preoperative X-ray and CT examinations at the 971th Hospital of PLA Navy from January 2019 to December 2024. A total of 167 patients were included in this study, comprising 108 males and 59 females, with a mean age of (46.6±16.2) years.The patients were divided into a combined posterior malleolar fracture group (n=63) and an isolated tibial shaft fracture group (n=104) based on the presence of posterior malleolar fracture on CT mages. Clinical and imaging data were collected. Data on fracture location, length, and morphology were measured using X-ray films and CT images. Multivariate logistic regression analysis was used to identify independent risk factors for tibial shaft fractures combined with posterior malleolar fractures, and a prediction model was constructed. The predictive results of the diagnostic factors was analyzed using the receiver operating characteristic curve (ROC). Results Tibial fracture location (OR=0.913, P=0.001), tibial fracture length (OR=1.154, P<0.001), and spiral tibial fracture (OR=10.202, P=0.002) were independent risk factors for tibial shaft fractures combined with posterior malleolar fractures. A prediction model was established, expressed as logit(P)=-0.091×tibial fracture location+0.143×tibial fracture length+2.323×spiral tibial fracture (yes=1, no=0)-1.193. The ROC curve analysis showed that the prediction model had a higher AUC than each individual factor including tibial fracture location, tibial fracture length, and spiral tibial fracture. Conclusions The prediction model constructed based on tibial fracture location, length, and spiral tibial fracture demonstrates high predictive value for tibial shaft fractures combined with posterior malleolar fractures.

关键词

胫骨干骨折 / 后踝骨折 / X线片 / CT / 危险因素 / 预测模型

Key words

tibial shaft fracture / posterior malleolar fracture / X-ray film / CT / risk factors / prediction model

引用本文

导出引用
李晓亮, 刘红国, 夏国峰, 孙培锋. 胫骨干骨折伴后踝骨折患者临床特点及预测模型构建[J]. 武警医学. 2026, 37(6): 466-471 https://doi.org/10.3969/j.issn.1004-3594.2026.06.002
LI Xiaoliang, LIU Hongguo, XIA Guofeng, SUN Peifeng. Clinical features of patients with tibial shaft fractures combined with posterior malleolar fractures and construction of prediction model[J]. Medical Journal of the Chinese People Armed Police Forces. 2026, 37(6): 466-471 https://doi.org/10.3969/j.issn.1004-3594.2026.06.002
中图分类号: R683.42   

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基金

青岛市卫健委医药科研指导计划项目(2020-wjzd191)

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