Analysis on the incidence and related factors of ventilator-related pneumonia in a general hospital
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摘要:
目的 探讨重症监护病房(ICU)呼吸机相关性肺炎(VAP)发生情况和相关因素,为综合医院制定切实可行的VAP感染防控策略提供依据。 方法 2017—2018年在某综合医院ICU(包括ICU、EICU和NICU)开展VAP目标性监测,对使用呼吸机和发生VAP的患者进行调查,分析VAP发生情况、相关因素和病原菌特点。使用SPSS 20.0统计学软件进行数据分析,应用单因素分析和多因素logistic回归模型分析VAP发生的相关因素。 结果 (1) 2017—2018年ICU患者的呼吸机使用率为33.58%,共发生VAP感染58例次,感染率为5.89‰。2018年ICU患者呼吸机使用率较2017年低,差异有统计学意义(P<0.05)。(2)年龄(P<0.001)、脑出血(P=0.028)、气管切开(P=0.009)、患者住院天数(P<0.001)和呼吸机使用天数(P<0.001)是VAP的危险因素,差异有统计学意义。年龄、气管切开和患者使用呼吸机天数与VAP的发生密切相关(OR>1,P<0.05)。(3)VAP相关病原菌培养居于前列的分别为:鲍曼不动杆菌(27株,58.62%)、肺炎克雷伯菌(17株,24.14%)、奇异变形杆菌(4株,6.90%)和铜绿假单胞菌(4株,6.90%)。 结论 综合医院应加强VAP监测和防控,关注危险因素,降低VAP发生率。 Abstract:Objective To investigate the incidence and related factors of ventilator associated pneumonia (VAP) in the intensive care unit (ICU) of a general hospital, and guide the prevention and control of VAP. Methods Target monitoring of VAP was carried out in the ICU of a general hospital (including ICU, EICU and NICU) from 2017 to 2018. Patients on ventilator and patients with VAP were investigated. The occurrence of VAP, related factors and pathogen characteristics were analysed. SPSS 20.0 software was used to establish a multivariate logistic regression model and analyse the related factors of VAP. Results (1) The utilisation rate of ventilators in ICU patients was 33.58%, a total of 58 cases of VAP infection occurred, and the infection rate of VAP was 5.89‰. The use rate of ventilators in ICU patients in 2018 was lower than that in 2017, and the difference was statistically significant (P < 0.05). (2) Age (P < 0.001), cerebral haemorrhage (P=0.028), tracheotomy (P=0.009), length of stay in the hospital (P < 0.001) and length of ventilator use (P < 0.001) were risk factors for VAP, whilst age, tracheotomy and length of ventilator use were independent risk factors for VAP (OR>1, P < 0.05). (3) The top VAP-related pathogens were Acinetobacter baumannii (27, 58.62%), Klebsiella pneumoniae (17, 24.14%), Proteus mirabilis (4, 6.90%) and Pseudomonas aeruginosa (4, 6.90%). Conclusion The monitoring and prevention of VAP should be strengthened, and the risk factors should be focused to reduce the incidence of VAP. -
表 1 2017—2018年ICU患者呼吸机使用情况和VAP发生情况
Table 1. Occurrence of VAP in ICU patients from 2017 to 2018
调查时间 ICU患者住院时间(d) 呼吸机使用时间(d) 呼吸机使用率(%) 感染例次数 千日感染率(‰) 2017年 14 928 5 283 35.39 34 6.44 2018年 14 404 4 569 31.72 24 5.25 合计 29 332 9 852 33.58 58 5.89 注:呼吸机使用率比较,χ2=44.252,P<0.001;VAP感染率比较,χ2=0.444,P=0.510。 表 2 VAP相关因素的单因素分析
Table 2. Univariate analysis of the related factors of VAP
组别 例数 年龄(x±s,岁) 基础疾病[例(%)] 手术[例(%)] 脑梗死 脑出血 肺部感染 高血压 糖尿病 VAP组 58 76.11±2.91 27(46.55) 20(34.48) 48(82.76) 24(41.38) 12(20.69) 14(24.14) 非VAP组 55 65.79±12.17 20(36.36) 9(16.36) 40(72.73) 29(52.73) 12(21.82) 11(20.00) 统计量 6.273a 1.206b 4.858b 1.649b 1.460b 0.021b 0.281b P值 <0.001 0.272 0.028 0.199 0.227 0.893 0.596 组别 例数 侵入性操作[例(%)] 住院时间(x±s,d) 使用呼吸机时间[(M(P25, P75),d] APACHE Ⅱ评分(x±s,分) 留置导尿管 中心静脉置管 气管插管 气管切开 VAP组 58 56(96.55) 38(65.52) 40(68.97) 18(31.03) 53.71±18.18 16.5(12.0,34.0) 20.80±1.98 非VAP组 55 49(89.09) 43(78.18) 46(83.64) 6(10.91) 22.42±9.49 6.0(3.0,11.0) 24.44±9.89 统计量 2.389b 2.231b 3.341b 6.835b 11.380a 582.000c 2.746a P值 0.122 0.135 0.068 0.009 <0.001 <0.001 0.007 注:a为t值,b为χ2值, c为U值。 表 3 VAP的多因素logistic回归分析
Table 3. Multivariate logistic regression analysis of VAP
变量 B SE Wald χ2 P值 OR(95% CI) 年龄 0.040 0.015 8.562 0.003 1.041(1.011~1.072) 脑出血 0.522 0.564 0.857 0.355 1.685(0.558~5.085) 气管切开 1.319 0.672 3.850 0.049 3.740(1.002~13.968) 住院天数 0.003 0.008 0.169 0.681 1.003(0.987~1.020) 使用呼吸机天数 0.061 0.026 5.325 0.021 1.063(1.009~1.119) 表 4 VAP相关病原菌检出情况及其构成比
Table 4. VAP-related pathogenic bacteria detection and composition ratio
病原菌 检出株数 构成比(%) 鲍曼不动杆菌 27 46.55 肺炎克雷伯菌 17 29.31 奇异变形杆菌 4 6.90 铜绿假单胞杆菌 4 6.90 金黄色葡萄球菌 2 3.45 粘质沙雷菌 2 3.45 大肠埃希菌 1 1.72 真菌 1 1.72 合计 58 100.00 -
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