摘要
目的:回顾性研究呼吸重症监护室(RICU)住院患者肺部多重耐药菌(MDRO)感染的临床特点,进一步探讨RICU患者肺部多重耐药菌感染的危险因素.方法:选取2021年1月至2021年12月在武汉大学中南医院RICU收治的502例患者为研究对象,收集患者临床资料,根据药敏试验结果分为多重耐药菌组(n=166)与非多重耐药菌组(n=336),采用SPSS 25.0系统分别行单因素和多因素分析RICU患者肺部多重耐药菌感染的危险因素.结果:502例患者中MDRO感染者166例.单因素分析显示,两组患者RICU住院时间＞14d、气切或气管插管、有创机械通气、中心静脉导管、使用3种及以上抗生素、多器官功能衰竭的差异均有统计学意义(P＜0.05);多因素分析显示,气切或气管插管、有创机械通气、使用3种及以上抗菌药物、RICU住院时间＞14d及多器官功能衰竭是肺部MDRO感染的危险因素(P＜0.05).结论:RICU患者肺部多重耐药菌感染率很高,抗生素的合理使用、尽量减少有创操作及缩短RICU住院时间可能有利于减少多重耐药菌感染的发生率.
Abstract
Objective:To retrospectively study the clinical characteristics of pulmonary multi drug resistant organism(MDRO)infection in hospitalized patients in respiratory intensive care unit(RICU),and to further explore the risk factors of pulmonary MDRO infection in RICU patients.Methods:From Janu-ary 2021 to December 2021,502 patients in RICU of Zhongnan Hospital of Wuhan University were selected as the research objects.The clinical data of the patients were collected.According to the re-sults of drug sensitivity test,the patients were divided into MDRO group(n=166)and non MDRO group(n=336).SPSS 25.0 software was used to analyze the risk factors of pulmonary MDRO infec-tion in RICU patients.Results:A total of 166 of the 502 patients were infected with MDRO.Univari-ate analysis showed that there were significant differences in RICU hospitalization time＞14 days,tra-cheotomy or endotracheal intubation,invasive mechanical ventilation,central venous catheter,use of three or more antibiotics,and multiple organ failure between the two groups(P＜0.05).Multivariate analysis showed that the risk factors of pulmonary MDRO infection were tracheotomy or endotracheal intubation,invasive mechanical ventilation,use of three or more antibiotics,RICU hospitalization time＞14 days,and multiple organ failure(P＜0.05).Conclusion:The infection rate of MDRO in RICU patients is very high.Rational use of antibiotics,minimizing invasive procedures and shorten-ing the length of stay in RICU may help to reduce the incidence of MDRO.
基金项目
中国科学院武汉感染性疾病及肿瘤研究中心项目(YKYXM20210102)
NETL
NSTL
维普
万方数据