临床外科杂志 ›› 2025, Vol. 33 ›› Issue (4): 370-374.doi: 10.3969/j.issn.1005-6483.20240823

• 论著 • 上一篇    下一篇

下肢开放性骨折术后切口感染病原学分析及风险预测模型的构建

刘官磊,武永东,李付彬,刘文东,高士杰   

  1. 061012 河北省沧州中西医结合医院下肢创伤科,河北省中西医结合骨关节病研究重点实验室(筹)(刘官磊、武永东、李付彬、高士杰):河北省沧州中西医结合医院微创骨伤科,河北省中西医结合骨关节病研究重点实验室(筹)(刘文东)
  • 收稿日期:2024-05-30 出版日期:2025-04-20 发布日期:2025-04-20
  • 通讯作者: 刘官磊,Email:lliuguanlei@163.com
  • 基金资助:
    河北省2023年度医学科学研究项目(20232141)

Etiological analysis of incision infection after open fracture of lower extremity and construction of risk prediction model

LIU Guanlei,WU Yongdong,LI Fubin,LIU Wendong,GAO Shijie   

  1. Department of Lower Limb Traumatology,Cangzhou Hospital of Integrated Traditional Chinese and Western Medicine,Hebei Province,Hebei Provincial of Integrated Traditional Chinese and Western Medicine (in preparation),Cangzhou 061012,China
  • Received:2024-05-30 Online:2025-04-20 Published:2025-04-20

摘要: 目的 分析下肢开放性骨折术后切口感染病原学,并构建其风险预测模型。方法 2022年1月~2023年8月行内固定手术治疗的下肢开放性骨折病人104例,根据术后是否切口感染分为感染组和未感染组。分析术后切口感染的病原菌分布情况。采用Logistic回归分析影响因素;构建术后切口感染的风险预测模型,采用受试者工作特征(receiver operating characteristic,ROC)曲线分析构建的预测模型对术后切口感染的预测价值。结果 104例病人术后切口感染发生率为19.23%;共分离出非重复病原菌45株,其中革兰阳性菌占53.33%,革兰阴性菌占42.22%,真菌占4.44%;革兰阳性菌对氨苄西林/舒巴坦、青霉素耐药率均为100.00%,对红霉素、克林霉素的耐药率均超过90.00%,革兰阴性菌对头孢唑林、磺胺甲噁唑/甲氧苄啶、左氧氟沙星、氨苄西林/舒巴坦、环丙沙星、庆大霉素的耐药率均超过67.00%,其中头孢唑林、磺胺甲噁唑/甲氧苄啶耐药率均超过90.00%。单因素、多因素分析发现,受伤至手术时间、手术时间、住院时间、围手术期预防用药、Gustilo分型均为该病病人术后切口感染危险因素(P<0.05)。ROC曲线显示,风险预测模型预测下肢开放性骨折病人术后切口感染发生的曲线下面积为0.861(95%CI:0.811~0.911),灵敏度为90.50%,特异度为72.92%。结论 下肢开放性骨折术后切口感染病原菌以革兰阴性菌为主,其中受伤至手术时间、手术时间、住院时间、围手术期预防用药、Gustilo分型是影响术后切口感染发生的因素。建立风险预测模型对该病病人术后切口感染的发生具有良好的预测效能。

关键词: 下肢骨折, 切口感染, 病原菌, 模型构建

Abstract: Objective To examine the causes of incision infections following lower extremity open fractures and develop a predictive model for assessing the risk.Methods A total of 104 patients with open fractures of the lower extremity,who received internal fixation from January 2022 to August 2023.According to whether there was incision infection after the operation,the patients were divided into infection group and non-infection group.The aim of the study was to analyze the distribution of pathogenic bacteria causing postoperative incision infections.Single-factor and multifactor Logistic regression analyses were employed to examine the factors influencing postoperative incisional infections.Subsequently,a risk prediction model for these infections was developed.The predictive capacity of this model was assessed using ROC curves.Results In the cohort of 104 patients with open fractures of the lower limb,the occurrence rate of postoperative incision infections was 19.23%.A total of 45 non-repeated pathogenic bacteria were isolated,among which gram-positive bacteria accounted for 53.33%,gram-negative bacteria 42.22%,fungi 4.44%.Gram-positive bacteria showed 100% resistance to ampicillin/sulbactam and penicillin,while resistance rates for erythromycin and clindamycin exceeded 90%.Among gram-negative bacteria,resistance rates to cefazolin,sulfamethoxazole/trimethoprim,levofloxacin,ampicillin/sulbactam,ciprofloxacin,and gentamicin were all above 67%.Notably,resistance rates for cefazolin,sulfamethoxazole,and trimethoprim surpassed 90%.Univariate and multifactorial Logistic stepwise regression analysis highlighted that time elapsed from injury to surgery,duration of surgery,length of hospital stay,perioperative prophylactic medication,and Gustilo classification were significant risk factors for postoperative incisional infections in patients with the condition (P<0.05).The ROC curves illustrated that the risk prediction model accurately forecasted the incidence of postoperative incisional infections in patients with open fractures of the lower extremity,with an area under the curve of 0.861 (95%CI:0.811 to 0.911),boasting a sensitivity of 90.50% and a specificity of 72.92%.Conclusion The main pathogen of wound infection after open fracture of lower extremity is Gram-negative,the time from injury to operation,operation time,hospitalization time,prophylactic medication during perioperative period and GUSTILO classification were the influencing factors of postoperative wound infection.In addition,the establishment of risk prediction model has a good prediction effect on the incidence of postoperative wound infection in patients with this disease.

Key words: lower limb fracture, wound infection, pathogen, model construction

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