GE Guo-xing, WANG Zong-xin, WANG Qing. Distribution of respiratory infection pathogens and their drug resistance in intensive care unit in hospital, 2010-2011[J]. Disease Surveillance, 2013, 28(4): 310-313. DOI: 10.3784/j.issn.1003-9961.2013.4.017
Citation: GE Guo-xing, WANG Zong-xin, WANG Qing. Distribution of respiratory infection pathogens and their drug resistance in intensive care unit in hospital, 2010-2011[J]. Disease Surveillance, 2013, 28(4): 310-313. DOI: 10.3784/j.issn.1003-9961.2013.4.017

Distribution of respiratory infection pathogens and their drug resistance in intensive care unit in hospital, 2010-2011

  • Objective To understand the distribution of respiratory infection pathogens and their drug resistance in the intensive care unit(ICU) in our hospital and provide evidence for the rational use of antibiotics in clinical practice and effective control of nosocomial infection. Methods Pathogens were isolated from the respiratory samples of the patients with respiratory infection in ICU in our hospital from 2010 to 2011,the identification of the pathogens were conducted by using microbiological analyzer and related drug susceptibility test was done by disk diffusion test(K-B). Results Among the pathogens isolated from the respiratory samples, the majority were gram-negative bacilli, accounting for 80.50%, in which, Acinetobacter baumannii accounted for the largest proportion(27.36%), gram positive coccus accounted for 8.20%, in which 5.53% were Staphylococcus aureus, fungi accounted for 11.23%, in which, 8.20% were Candida albicans. The overall drug resistant rate was high. The detection rate of methicillin-resistant Staphylococcus aureus(MRSA) was 28.60%; The detection rates of Escherichia coli and Klebsiella pneumoniae ESBLs were 58.70% and 27.20%. Conclusion The pathogens detected in the ICU patients with respiratory infection were mainly gram-negative bacilli, and fungal infections tended to increase. Multi drug resistance was serious. It is necessary to strengthen the surveillance of pathogens’ drug resistance to guide clinical antibiotic use.
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