重症监护病房发生医院获得性肺炎的病原学特点及风险模型构建

Etiological characteristics of hospital-acquired pneumonia in intensive care unit and construction of risk model

  • 摘要:
      目的  探讨重症监护病房(ICU)发生医院获得性肺炎(HAP)的病原学特点,分析其危险因素并建立预测模型。
      方法  将ICU发生HAP的患者50例纳入感染组,另选取同期未发生HAP的ICU患者70例纳入未感染组。分析感染组患者的感染病原学特点,采用Logistic回归分析筛选ICU患者发生HAP的危险因素,基于危险因素的回归系数构建风险预测模型。采用受试者工作特征(ROC)曲线评估预测模型的区分度。
      结果  感染组患者共分离出73株阳性菌株,其中革兰阳性菌16株(21.92%),革兰阴性菌51株(69.86%),真菌6株(8.22%),革兰阴性菌检出率高于其他菌株类型,差异有统计学意义(P < 0.05);Logisitic回归分析显示,年龄≥ 60岁、糖尿病史、合并意识障碍、机械通气、慢性阻塞性肺疾病病史、入ICU时间>7 d是ICU患者发生HAP的独立危险因素(P < 0.05)。风险模型预测ICU患者发生HAP的ROC曲线下面积(AUC)为0.855。
      结论  ICU患者HAP感染的病原菌以革兰阴性菌为主,建立的风险模型具有较好的判别效度,可用于识别ICU患者HAP易感高危人群。

     

    Abstract:
      Objective  To explore the etiological characteristics of hospital-acquired pneumonia (HAP) in intensive care unit (ICU), analyze risk factors and construct the prediction model.
      Methods  Fifty HAP patients in ICU were included in infection group, while another 70 ICU patients without HAP during the same period were included in non-infection group. The etiological characteristics of infection in the infection group were analyzed. The risk factors of HAP were screened by Logistic regression analysis. The risk prediction model was constructed based on the regression coefficients of risk factors. The discrimination of the prediction model was assessed by receiver operating characteristics (ROC) curves.
      Results  There were 73 positive strains isolated from the 50 patients in the infection group, including 16 strains of Gram-positive bacteria (21.92%), 51 strains of Gram-negative bacteria (69.86%) and 6 strains of fungi (8.22%). The detection rate of Gram-negative bacteria was higher than that of the other types (P < 0.05). Logisitic regression analysis showed that age of 60 years and above, diabetic history, consciousness disorder, mechanical ventilation, history of chronic obstructive pulmonary disease and stay time in ICU over 7 d were independent risk factors of HAP (P < 0.05). The area under the ROC curve (AUC) predicted by the risk model for HAP in ICU patients was 0.855.
      Conclusion  The main pathogens of HAP infection are Gram-negative bacteria in ICU patients. The constructed risk model has better discrimination, which can be applied to identify high-risk groups susceptible to HAP.

     

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