摘要
目的探讨重症监护病房(ICU)患者中心静脉导管相关性感染(CRI)的病原学特征以及相关危险因素,以指导临床实践,预防医院感染的发生。方法对2012年10月-2013年3月医院ICU 206例留置中心静脉导管患者进行回顾性研究,采用χ2检验及多因素非条件logistic回归分析,统计CRI发生率、观察其病原学特征并依此分析其相关危险因素。结果 206例中心静脉导管患者中34例发生CRI,发生率为16.50%;共检出病原菌34株,其中革兰阳性球菌占50.00%、革兰阴性杆菌占26.47%、真菌占23.53%;多因素非条件logistic回归分析提示,年龄、使用多腔导管、长期留置导管为CRI独立危险因素,差异有统计学意义(P<0.05)。结论应加强CRI危险因素控制,更换导管类型,缩短留置导管时间,预防医院感染的发生。
OBJECTIVE To explore the etiological characteristics of central venous catheter-related infections in patients of intensive care unit （ICU ） and analyze the related risk factors so as to guide the clinical practice and prevent nosocomial infections .METHODS A total of 206 patients who underwent the central venous catheterization in the ICU from Oct 2012 to Mar 2013 were retrospectively studied , then the chi-square test and the non-conditional multivariate logistic regression analysis were performed , the incidence of central venous catheter-related infections was taken for statistics ,and the etiological characteristics were observed to analyze the related risk factors .RESULTS Of the 206 patients ,the central venous catheter-related infections occurred in 34 cases with the infection rate of 16 .50% .Totally 34 strains of pathogens have been isolated ,among which the gram-positive cocci accounted for 50 .00% , the gram-negative bacilli 26 .47% , the fungi 23 .53% . The non-conditional multivariate logistic regression analysis indicated that the age ,use of multi-lumen catheter ,and long-term catheter indwelling were the independent risk factors for the central venous catheter-related infections with statistical significance （P〈0 .05） .CONCLUSIONS It is necessary to strengthen the control of the risk factors for central venous catheter-related infections ,change the types of catheter ,and shorten the time of catheter indwelling so as to prevent the nosocomial infections .
出处
《中华医院感染学杂志》
CAS
CSCD
北大核心
2014年第12期2957-2959,共3页
Chinese Journal of Nosocomiology
基金
山东省科技攻关基金资助项目(2009GG10002057)
关键词
导管相关性感染
中心静脉
相关因素
分析
Catheter-related infection
Central vein
Related factor
Analysis
