Suppr超能文献

[Analysis of drug resistance spectrum and its mechanism in 1017 clinical bacterial isolates].

作者信息

Geng Sui-na, Rui Yong-yu, Wang Qian, Mou Cheng-hui, Zhou Xiao-hong, Zhang Jie

机构信息

Clinical Laboratory, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.

出版信息

Di Yi Jun Yi Da Xue Xue Bao. 2005 Dec;25(12):1529-32, 1545.

Abstract

OBJECTIVE

To investigate the drug susceptibility of the clinical bacterial isolates to provide evidence for more adequate use of antibiotics.

METHODS

Altogether 1017 clinical bacterial isolates were identified by BD Phoenix and tested for resistance against antimicrobial agents by K-B method. WHONET5 was applied for the analysis.

RESULTS

The most frequent bacteria detected included P. aeruginosa (19.37%), coagulase-negative Staphylococci (CNS, 17.70%), E. coli (13.27%), S. aureu (SA, 12.09%), E. faecalis (11.8%), and K. pneumoniae (7.57%). In gram-negative isolates, the susceptibility rate of imipenem was 81.5%, and that of ceftazidime was above 70%. The incidences of E.coli and K. pneumoniae isolates producing extended spectrum beta-lactamase (ESBLs) were 34.8% and 45.5% respectively. In gram-positive isolates, the susceptibility rates of vancomycin and Teicoplanin were 98.8% and 100.0% respectively, and those of furazolidone, imipenem, amikacin, piperacillin/ tazobactam were above 70%. The oxacillin resistant rates of CNS and SA were 78.2% and 46.8%.

CONCLUSION

The 1017 clinical bacterial isolates are characterized by high ratio of ESBL production and oxacillin resistance, suggesting the importance of adequate use of antimicrobial agents and effective control measures for reducing the drug resistance and preventing the spread of multi drug- resistant bacteria.

摘要

相似文献

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验