临床荟萃 ›› 2026, Vol. 41 ›› Issue (3): 212-218.doi: 10.3969/j.issn.1004-583X.2026.03.003

• 论著 • 上一篇    下一篇

重型颅脑损伤患者感染耐碳青霉烯类肺炎克雷伯菌的耐药性及列线图模型构建

廖宇宁1, 钟美兴2, 林小芳3()   

  1. 1.赣南医科大学,江西 赣州 341500
    2.赣南医科大学第一附属医院 感染管理科,江西 赣州 341000
    3.南方医科大学南方医院赣州医院(赣州市人民医院) 感染管理科, 江西 赣州 341000
  • 收稿日期:2025-12-11 出版日期:2026-03-20 发布日期:2026-03-27
  • 通讯作者: 林小芳,Email:linxiaofangtj@163.com
  • 基金资助:
    2026年江西省卫生健康委科技计划项目——三种消毒方式对ICU洗手池消毒效果研究及耐药性分析(202610896)

Antimicrobial resistance of carbapenem-resistant Klebsiella pneumoniae infection in patients with severe traumatic brain injury and construction of a nomogram model

Liao Yuning1, Zhong Meixing2, Lin Xiaofang3()   

  1. 1. Gannan Medical University, Ganzhou 341500, China
    2. Department of Infection Management, First Affiliated Hospital of Gannan Medical University, Ganzhou 341000, China
    3. Department of Infection Management, Nanfang Hospital Southern Medical University (Ganzhou People's Hospital), Ganzhou 341000, China
  • Received:2025-12-11 Online:2026-03-20 Published:2026-03-27

摘要:

目的 分析神经外科重型颅脑损伤(severe traumatic brain injury,sTBI)患者感染耐碳青霉烯类肺炎克雷伯菌(carbapenem-resistant Klebsiella pneumoniae, CRKP)的耐药性及sTBI患者感染CRKP的独立危险因素,并构建列线图预测模型。方法 选取赣州市人民医院神经外科2019年9月-2024年9月收治的sTBI患者524例,按照其CRKP感染情况,分为CRKP感染组(n=95)和非CRKP感染组(n=429),分析CRKP感染组对抗菌药物的耐药性。将CRKP感染组和非CRKP感染组差异有统计学意义的变量纳入多因素logistic回归分析,并根据独立危险因素构建列线图模型预测神经外科sTBI患者感染CRKP的风险。绘制受试者工作特征曲线,计算曲线下面积评估模型区分度;采用校准曲线评价模型的校准度。结果 药敏结果显示CRKP对常用抗菌药物耐药率高,对替加环素、头孢他啶阿维巴坦耐药率为0。两组年龄≥60岁、住院时间≥30 d、手术时间≥60 min、手术次数≥2次、首次手术术后预防用药、抗菌药物使用时间≥30 d、联合使用抗菌药物、使用抗菌药物种类≥3种、入院GCS评分≤5分、昏迷、气管切开、呼吸机、留置导尿管、中心静脉置管、留置胃管、二次置管、发热≥10 d、输血、低蛋白血症和使用免疫抑制剂或激素占比差异均有统计学意义(P<0.05)。Logistic 回归分析显示年龄≥60岁、抗菌药物使用时间≥30 d、使用抗菌药物种类≥3种、留置导尿管、留置胃管、发热≥10 d、输血和低蛋白血症是神经外科sTBI患者CRKP感染的独立危险因素(P<0.05)。基于多因素logistic回归分析中的独立危险因素,建立列线图预测模型模型,绘制受试者工作特征曲线,曲线下面积为0.965(95%CI:0.950~0.980,P<0.05),敏感度0.895,特异度0.944。校准曲线结果显示,校准后曲线和理想参考线拟合良好。结论 影响神经外科sTBI患者感染CRKP的因素有年龄≥60岁、抗菌药物使用时间≥30 d、使用抗菌药物种类≥3种、留置导尿管、留置胃管、发热≥10 d、输血、低蛋白血症等,基于上述因素构建的列线图模型有较好的预测效能。

关键词: 颅脑损伤, 肺炎克雷伯菌, 预测模型, 列线图, 耐药性

Abstract:

Objective To analyze the antimicrobial resistance profile of carbapenem-resistant Klebsiella pneumoniae (CRKP) isolated from neurosurgical patients with severe traumatic brain injury (sTBI), to identify independent risk factors for CRKP infection in this population, and to construct a nomogram for individualized risk prediction. Methods We retrospectively enrolled 524 sTBI patients admitted to the Department of Neurosurgery, Ganzhou People's Hospital, between September 2019 and September 2024. Patients were grouped by CRKP infection status into a CRKP infection group (n=95) and a non-CRKP infection group (n=429). Antimicrobial susceptibility of CRKP isolates was analyzed. Variables showing statistically significant differences between the two groups were entered into multivariable logistic regression to identify independent risk factors. A nomogram based on these independent predictors was developed to estimate the risk of CRKP infection. Model discrimination was assessed by receiver operating characteristic (ROC) curve and area under the curve (AUC); calibration was evaluated with a calibration curve. Results Antimicrobial susceptibility testing showed high resistance rates of CRKP to commonly used antibiotics, while resistance rates to tigecycline and ceftazidime-avibactam were 0%. Between the two groups, the proportions of patients with age ≥60 years, hospital stay ≥30 days, operative time ≥60 minutes, number of operations ≥2, postoperative prophylactic antibiotics after first surgery, antibiotic exposure ≥30 days, combination antibiotic therapy, use of ≥3 antibiotic agents, admission GCS ≤5, coma, tracheotomy, mechanical ventilation, indwelling urinary catheter, central venous catheter, indwelling gastric tube, repeat catheterization, fever ≥10 days, blood transfusion, hypoproteinemia, and use of immunosuppressants or steroids differed significantly (all P<0.05). Multivariable logistic regression identified the following independent risk factors for CRKP infection in neurosurgical sTBI patients: age ≥60 years, antibiotic exposure ≥30 days, use of ≥3 antibiotic classes, indwelling urinary catheter, indwelling gastric tube, fever ≥10 days, blood transfusion, and hypoproteinemia (all P<0.05). A nomogram constructed from these predictors yielded an AUC of 0.965(95%CI: 0.950-0.980, P<0.05), with sensitivity 0.895 and specificity 0.944. The calibration curve showed good agreement between predicted and observed risks. Conclusion Age ≥60 years, prolonged antibiotic exposure (≥30 days), use of multiple antibiotic classes (≥3), indwelling urinary catheter, indwelling gastric tube, prolonged fever (≥10 days), blood transfusion, and hypoproteinemia are independent risk factors for CRKP infection in neurosurgical patients with sTBI. The nomogram based on these factors demonstrates excellent discriminative ability and good calibration.

Key words: craniocerebral trauma, Klebsiella pneumoniae, predictive model, nomograms, drug resistance

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