临床外科杂志 ›› 2026, Vol. 34 ›› Issue (4): 390-394.doi: 10.3969/j.issn.1005-6483.20250584

• 论著 • 上一篇    下一篇

创伤性骨盆骨折内固定术后感染的影响因素及列线图模型

赵斐斐 赛欢 王伶伶 彭杉 赵仕敏 梁少卿 张瑞鹏   

  1. 050051河北石家庄,河北医科大学第三医院骨科
  • 收稿日期:2025-06-06 出版日期:2026-06-08 发布日期:2026-06-08
  • 通讯作者: 张瑞鹏,Email:zhangruipengdoctor@126.com
  • 基金资助:
    国家自然科学基金资助项目(82202682);河北省自然科学基金项目(H2025206300)

Influencing factors andNomogram model of infection after internal fixation of traumatic pelvic fractures

ZHAO Feifei,SAI Huan,WANG Lingling,PENG Shan,ZHAO Shimin,LIANG Shaoqing,ZHANG Ruipeng   

  1. Department of Orthopaedic Surgery,the ThirdHospital of Hebei Medical University,Shijiazhuang 050051,China
  • Received:2025-06-06 Online:2026-06-08 Published:2026-06-08

摘要: 目的 探讨创伤性骨盆骨折内固定术后感染的影响因素,并构建列线图模型。方法 2022年10月~2024年2月于我院就诊的创伤性骨盆骨折病人246例。根据切开复位内固定术后感染情况分为感染组和非感染组,通过1∶1倾向性评分匹配均衡两组协变量之间的差异,采用Logistic回归分析筛选创伤性骨盆骨折内固定术后感染因素,采用R4.3.2软件构建列线图模型,绘制受试者工作特征(ROC)曲线、校准曲线、决策曲线检验列线图模型预测效能。选取2024年3月~2024年12月就诊的100例创伤性骨盆骨折病人进行列线图模型外部验证。结果 匹配后,感染组创伤严重程度(ISS)评分、白细胞介素(IL)-23、IL-17、Toll样受体7(TLR7)分别为(16.11±1.34)分、(735.59±213.75)pg/ml、(542.42±160.66)pg/ml和(72.55±10.24)ng/ml,髋臼骨折发生率为30.00%;非感染组病人分别为(15.18±1.46)分、(568.81±166.71)pg/ml、(400.03±118.86)pg/ml、(66.43±9.27)ng/ml和10.00%,两组比较差异有统计学意义(P<0.05);ISS评分(OR=1.597)、髋臼骨折(OR=2.296)、IL-23(OR=1.544)、IL-17(OR=1.512)和TLR7(OR=1.384)均是创伤性骨盆骨折病人内固定术后感染的影响因素(P<0.05);列线图模型预测创伤性骨盆骨折内固定术后感染的AUC分别为0.885和0.886,预测概率与实际观测概率接近,当阈值概率处于0.1~0.8、0.0~0.8时,病人净收益率高。结论 基于ISS评分、髋臼骨折、IL-23、IL-17、TLR7构建的列线图模型预测效果良好,可为创伤性骨盆骨折内固定术后感染的早期筛查提供工具,协助临床治疗决策。

关键词: 创伤性骨盆骨折, 内固定术, 感染, 影响因素, 列线图模型

Abstract: Objective To explore the influencing factors of infection after internal fixation of traumatic pelvic fractures and establish a nomogram model.Methods A prospective study design wasused to conveniently select 246 patients with traumatic pelvic fractures who were treated at Hebei Medical University Third Hospital from October 2022 to February 2024 as the research subjects.Patients were divided into an infected group and a Non-infected group based on the infection status after open reduction and internal fixation.The difference between the two groups of covariates was balanced by 1∶1 propensity score matching.Logistic regression equations were used to analyze the factors that contribute to infection after internal fixation for traumatic pelvic fractures.R4.3.2 software was used to establish the nomogram model,and the receiver operating characteristic curve (ROC),calibration curve and decision curve were drawn to test the predictive efficacy of the nomogram model.Another 100 patients with traumatic pelvic fractures who were treated from March 2024 to December 2024 were selected for external validation of the nomogram model.Results After matching,the ISS score,IL-23,IL-17 and TLR7 in the infection group were (16.11±1.34) scores,(735.59±213.75) pg/ml,(542.42±160.66) pg/ml and (72.55±10.24) ng/ml,respectively,the incidence of acetabular fracture was 30.00%.The data in the non-infected group were (15.18±1.46) scores,(568.81±166.71) pg/ml,(400.03±118.86) pg/ml,(66.43±9.27) ng/ml and 10.00%,respectively(P<0.05).ISS score (OR:1.597),acetabular fracture (OR:2.296),IL-23 (OR:1.544),IL-17 (OR:1.512) and TLR7 (OR:1.384) were the influencing factors of infection after internal fixation in patients with traumatic pelvic fracture (P<0.05).The AUC of nomogram model for predicting infection after internal fixation of traumatic pelvic fractures was 0.885 and 0.886,respectively.The predicted probability was close to the actual observed probability.When the threshold probability was between 0.1 and 0.8,or between 0.0 and 0.8,the net patient benefit was high.Conclusion The nomogram model constructed based on ISS score,acetabular fracture,IL-23,IL-17,and TLR7 has good predictive performance and can provide a reliable tool for early screening of infection after internal fixation of traumatic pelvic fractures,assisting clinical treatment decisions.

Key words: traumatic pelvic fracture, internal fixation, infected, influencing factors, nomograph model

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