慢性肾衰竭维持性血液透析患者肺部感染病原菌及其危险因素模型构建

Distribution of pathogenic bacteria and construction of risk factors model of pulmonary infection in patients on maintenance hemodialysis for chronic renal failure

  • 摘要:
    目的 分析慢性肾衰竭(CRF)维持性血液透析(MHD)患者肺部感染的风险因素及病原菌特征, 并构建相关的预测模型, 进一步分析预测模型对CRF MHD患者肺部感染的预测价值。
    方法 2020年1月-2022年12月, 回顾性收集青岛市青岛大学附属青岛市海慈医院的368例CRF MHD患者临床资料, 根据是否发生肺部感染将其分为感染组(112例)和未感染组(256例)。分析CRF MHD患者肺部感染的风险因素, 构建相关的预测模型, 分析预测模型对CRF MHD患者肺部感染的预测价值, 统计CRF MHD患者肺部感染的病原菌特征。
    结果 CRF MHD患者肺部感染发生率为30.43%;年龄、合并糖尿病、合并心力衰竭、合并贫血、留置静脉导管、行MHD时间及血清白蛋白、血红蛋白水平较低均为CRF MHD患者肺部感染的风险因素(P<0.05);预测模型预测CRF MHD患者肺部感染的曲线下面积(AUC)值为0.895, 敏感度为81.25%, 特异度为85.94%;CRF MHD肺部感染患者革兰阴性菌占59.24%, 革兰阳性菌占34.39%, 真菌占6.37%。
    结论 CRF MHD患者肺部感染发生率较高, 其危险因素相关预测模型的预测价值较好。

     

    Abstract:
    OBJECTIVE To analyze the risk factors and pathogen characteristics of pulmonary infection in patients with chronic renal failure (CRF) on maintenance hemodialysis (MHD), and to construct a prediction model to further analyze its predictive value in pulmonary infection in patients with CRF on MHD.
    METHODS From Jan 2020 to Dec 2022, the clinical data of 368 patients with CRF on MHD in Qingdao Haici Hospital affiliated to Qingdao University were retrospectively collected and divided into the infected group (112 cases) and non-infected group (256 cases) according to whether they had pulmonary infection. The risk factors for pulmonary infection in MHD patients with CRF was analyzed, and a related prediction model was built to, analyze its predictive value in pulmonary infection in MHD patients with CRF. The characteristics of pathogenic bacteria of pulmonary infection in MHD patients with CRF was described.
    RESULTS The incidence of pulmonary infection in MHD patients with CRF was 30.43%. Age, diabetes, heart failure, anemia, indwelling venous catheter, MHD time, low serum albumin and hemoglobin levels were all risk factors for pulmonary infection in MHD patients with CRF (P < 0.05). The area under the curve (AUC) value was 0.895, with the sensitivity of 81.25% and specificity of 85.94% for predicting lung infection in patients with CRF MHD. Gram-negative bacteria accounted for 59.24% in patients with CRF MHD pulmonary infection and gram-positive bacteria accounted for 34.39%. Fungi accounted for 6.37%.
    CONCLUSION The incidence of pulmonary infection in patients with CRF MHD is higher, and the prediction model of risk factors has good predictive value.

     

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