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Distribution and drug resistance of pathogenic bacteria isolated from cancer hospital in 2013 被引量:10
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作者 Linjuan Liu Qi Li +3 位作者 Qingyun Zhang Guohong Wang Guobin Xu Ji Zhang 《Chinese Journal of Cancer Research》 SCIE CAS CSCD 2014年第6期698-704,共7页
Objective: To understand distribution and drug resistance of pathogenic bacteria from a specialized cancer hospital in 2013 in order to provide a basis for rational clinical antimicrobial agents. Methods: Pathogenic... Objective: To understand distribution and drug resistance of pathogenic bacteria from a specialized cancer hospital in 2013 in order to provide a basis for rational clinical antimicrobial agents. Methods: Pathogenic bacteria identification and drug sensitivity tests were performed with a VITEK 2 compact automatic identification system and data were analyzed using WHONET5.6 software.Results: Of the 1,378 strains tested, 980 were Gram-negative bacilli, accounting for 71.1%, in which Klebsiella pneumonia, Escherichia coli and Pseudomonas aeruginosa were the dominant strains. We found 328 Gram-positive coccus, accounting for 23.8%, in which the amount of Staphylococcus aureus was the highest. We identified 46 fungi, accounting for 4.1%. According to the departmental distribution within the hospital, the surgical departments isolated the major strains, accounting for 49.7%. According to disease types, lung cancer, intestinal cancer and esophagus cancer were the top three, accounting for 20.9%, 17.3% and 14.2%, respectively. No strains were resistant to imipenem, ertapenem or vancomycin.Conclusions: Pathogenic bacteria isolated from the specialized cancer hospital have different resistance rates compared to commonly used antimicrobial agents; therefore antimicrobial agents to reduce the morbidity and mortality of infections should be used. 展开更多
关键词 Tumor pathogenic bacteria distribution drug resistance rate
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A New Evaluation Method for Antibiotic-Resistant Bacterial Groups in Environment
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作者 Katsuji Watanabe Naoto Horinishi +2 位作者 Kunimasa Matsumoto Akihiro Tanaka Kenichi Yakushido 《Advances in Microbiology》 2016年第3期133-151,共19页
In the present manuscript it was presented whether spreading of antibiotic resistant bacterial groups in environment could be monitored by our newly developed method by enumerating antibiotic resistant bacterial group... In the present manuscript it was presented whether spreading of antibiotic resistant bacterial groups in environment could be monitored by our newly developed method by enumerating antibiotic resistant bacterial groups in various biological wastes and composts. Although the numbers were not so high, diverse kinds of colistin resistant bacteria (25 mg·L<sup>-1</sup><sup></sup>) were included in row cattle feces (1.78 × 10<sup>4</sup> MPN g<sup>-1</sup>) and cattle feces manure (>3.84 × 10<sup>4</sup> MPN g<sup>-1</sup>). Compost originated from leftover food (>44.8 × 10<sup>4</sup> MPN g<sup>-1</sup>) and shochu lee (>320 × 10<sup>4</sup> MPN g<sup>-1</sup>) included higher numbers of chlortetracycline resistant Pseudomonas sp., (25 mg·L<sup>-1</sup><sup></sup>), and row cattle feces included higher numbers of chlortetracycline resistant Enterobacteriacea (15.7 × 10<sup>4</sup> MPN g<sup>-1</sup>), which mostly consisted from Pantoea sp. or Xenorhobdus doucetiae. Numbers of multi drug resistant bacteria, resistant to 25 mg·L<sup>-1 </sup>of<sup> </sup>ciprofloxacin, streptomycin, chloramphenicol, and ampicillin, were the highest in row cattle feces (>143.6 × 10<sup>4</sup> MPN g<sup>-1</sup>), followed by cattle feces manure (4.19 × 10<sup>4</sup> MPN g<sup>-1</sup>), and shochu lee (0.36 × 10<sup>4</sup> MPN g<sup>-1</sup>), which included diverse kinds of bacterial group. The present results indicated that higher numbers of multi drug resistant bacteria were typically found in row cattle feces, and the method was found suitable to enumerate and identify them. These results suggested that the method might become their environmental risk evaluation method. 展开更多
关键词 Colistin resistant bacteria Chlortetracycline resistant bacteria Multi drug resistant bacteria Multiple Enzyme Restriction Fragment Length Polymorphism Analysis The Most Probable Number Method Microchip Electrophoresis System
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