体外膜肺氧合患者医院感染病原菌分布及危险因素分析

Analysis in pathogenic bacteria distribution and risk factors of nosocomial infection in patients with extracorporeal membrane oxygenation

  • 摘要:
    目的 分析体外膜肺氧合(ECMO)患者医院感染病原菌分布及危险因素。
    方法 分析76例接受ECMO治疗患者的临床资料, 分为感染组与非感染组。分析2组患者感染情况及其危险因素、检出病原菌分布及其耐药性,采用受试者工作特征(ROC)曲线分析ECMO术后医院感染的危险因素。
    结果 76例患者医院感染发生率为53.95%(41/76), 下呼吸道(76.12%)为主要感染部位,革兰氏阴性杆菌检出率最高(85.07%)。2组患者在年龄、机械通气时间、ECMO辅助时间、抗菌药使用时间、中心静脉置管时间、导尿管置管时间方面比较,差异有统计学意义(P<0.05或P<0.01)。Logistic回归分析显示, ECMO辅助时间、机械通气时间是发生医院感染的独立危险因素(P<0.05)。ROC曲线分析显示, ECMO辅助时间预测ECMO后医院感染的曲线下面积(AUC)为0.812, 最佳临界值为128.04 h, 敏感性为68.3%, 特异性为85.7%;机械通气时间预测ECMO后医院感染的AUC为0.873, 最佳临界值为64.48 h, 敏感性为97.6%, 特异性为68.6%。
    结论 ECMO术后医院感染率较高,下呼吸道为主要感染部位,病原菌多为革兰氏阴性杆菌,多重耐药菌比例高,机械通气时间和ECMO辅助时间是发生医院感染的独立危险因素。

     

    Abstract:
    Objective To analyze the pathogenic bacteria distribution and risk factors of nosocomial infection in patients with extracorporeal membrane oxygenation (ECMO).
    Methods Clinical materials of 76 patients with ECMO were analyzed, and they were divided into infection group and non-infection group. The infection situation and its risk factors as well as the distribution of detected pathogenic bacteria and their drug resistance were analyzed, and the risk factors of nosocomial infection after ECMO were analyzed by receiver operating characteristic (ROC) curve.
    Results The incidence of nosocomial infection in 76 patients was 53.95% (41/76), lower respiratory tract (76.12%) was the main infection site, and the detection rate of Gram-negative bacilli was the highest (85.07%). There were significant differences in age, mechanical ventilation time, ECMO assisted time, antibacterial drug use time, central venous catheterization time and catheter catheterization time between the two groups (P < 0.05 or P < 0.01). Logistic regression analysis showed that ECMO assisted time and mechanical ventilation time were the independent risk factors for nosocomial infection (P < 0.05). ROC curve analysis showed that the area under the curve (AUC) of ECMO assisted time to predict nosocomial infection after ECMO was 0.812, the best critical value was 128.04 h, the sensitivity was 68.3%, and the specificity was 85.7%; the AUC of mechanical ventilation time in predicting nosocomial infection after ECMO was 0.873, the best critical value was 64.48 h, the sensitivity was 97.6%, and the specificity was 68.6%.
    Conclusion The nosocomial infection rate after ECMO is high, the lower respiratory tract is the main infection site, and most of pathogenic bacteria are Gram-negative bacteria, the proportion of multidrug-resistant bacteria is high, and mechanical ventilation time and ECMO assisted time are the independent risk factors for nosocomial infection.

     

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