• 1. Clinical Laboratory Center, Fuwai Hospital, Chinese Academy of Medical Sciences, Beijing, 100037, P.R.China;
  • 2. ICU of Cardiac Surgery, Fuwai Hospital, Chinese Academy of Medical Sciences, Beijing, 100037, P.R.China;
WANG Feiyan, Email: wang_feiyanfw@sina.com
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Objectives  To retrospectively analyze the isolation rate and drug-resistance of pseudomonas aeruginosa in Fuwai Hospital of Chinese Academy of Medical Sciences from 2013 to 2016. Methods  The specimens were collected and cultured. If the isolated bacteria were from the same part of the same patient, the first isolated strains were only counted. The isolated pathogens were identified and the drug-resistance were analyzed. Results  A total of 1 404 pseudomonas aeruginosa were isolated. The majority of them were from postoperative recovery room of surgery department (62.1%) and ICU of internal medicine (22.3%). The specimen source were mainly from respiratory tract (75.7%), followed by blood (10.0%) and venous catheter (5.5%). The resistance rate of piperacillin and piperacillin/sulbactam to pseudomonas aeruginosa was 0.6% to 10.4%. The resistance rate of ceftazidime and cefepime was 0.3% to 11.7%. The resistance rate of imipenem and meropenem was 7.6% to 20.1%. The resistance rate of amikacin, gentamicin, and tobramycin was 0.3% to 3.2%. The resistance rate of ciprofloxacin and levofloxacin was 0.6% to 5.2%. Conclusions  The isolates of pseudomonas aeruginosa are mainly from postoperative recovery room of surgery department and ICU of internal medicine . Imipenem and meropenem are not the best choices for pseudomonas aeruginosa infection. It has great value to combine piperacillin, piperacillin/sulbactam, ceftazidime and cefepime with aminoglycoside or quinolone antibiotics for the treatment of pseudomonas aeruginosa infection which will reduce drug resistance.

Citation: CHENG Jun, GENG Jie, LI Feng, ZHANG Siming, GAO Xiaojing, ZHANG Yanbo, WANG Feiyan. The distribution and drug-resistance of pseudomonas aeruginosa in Fuwai Hospital of Chinese Academy of Medical Sciences from 2013 to 2016 . Chinese Journal of Evidence-Based Medicine, 2018, 18(5): 450-453. doi: 10.7507/1672-2531.201712006 Copy

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