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CN 34-1304/RISSN 1674-3679

Volume 20 Issue 1
Jan.  2016
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LIU Dan-dan, SHEN Ji-lu, DAI Meng-yuan, XU Yuan-hong, FEI Guang-he. Dynamic analysis on bacterium spectrum and drug resistance of lower respiratory tract infections for consecutive 5 years[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2016, 20(1): 63-66. doi: 10.16462/j.cnki.zhjbkz.2016.01.016
Citation: LIU Dan-dan, SHEN Ji-lu, DAI Meng-yuan, XU Yuan-hong, FEI Guang-he. Dynamic analysis on bacterium spectrum and drug resistance of lower respiratory tract infections for consecutive 5 years[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2016, 20(1): 63-66. doi: 10.16462/j.cnki.zhjbkz.2016.01.016

Dynamic analysis on bacterium spectrum and drug resistance of lower respiratory tract infections for consecutive 5 years

doi: 10.16462/j.cnki.zhjbkz.2016.01.016
  • Received Date: 2015-09-02
  • Rev Recd Date: 2015-11-23
  • Objective To investigate the bacterial spectrum of lower respiratory tract and the drug resistance change in the first affiliated hospital of Anhui Medical University in recent five years, and to provide basis for the reasonable use of antibiotics in clinic. Methods A retrospective survey of the hospitalized patients with bacterial culture of sputum specimens from January 2009 to December 2013 was conducted. All the data were input WHONET 5.6 and statistically analyzed by SPSS 17.0. Results 6 564 bacteria strains were isolated with bacteria from 37 410 sputum spectimens of lower respiratory tract, including gram-positive bacteria 617(9.4%) and gram-negative bacteria 5 947(90.6%). The bacteria detection rate of acinetobacter baumannii and pseudomonas aeruginosa ranked in the top two, showed increasing trend, followed by klebsiella pneumoniae, whose detection rate presented decreasing trend. The resistance results showed that the resistance rate of pseudomonas aeruginosa against amikacin and the fourth generation cephalosporins was about 20.0% or lower. Staphylococcus ureus was resistant to many kinds of anti-biotics, however, no vancomycin and teicoplanin resistant strains were found yet. Conclusions Through the surveillance of drug-resistant bacteria of lower respiratory tract infections, help to understand the distribution of drug-resistant bacteria and bacterial resistance of antibiotics and guide the rational use of antibiotics in clinic, and to improve the efficacy of treatment.
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