Prevalence and antimicrobial resistance patterns of extended-spectrum beta-lactamase-producing Escherichia coli and Klebsiella pneumoniae isolated from blood cultures in an Istanbul University Hospital.

来自 PUBMED

作者:

Koksal FAk KKucukbasmaci OSamasti M

展开

摘要:

Between January 2001 and September 2006, a total of 459 Escherichia coli and 226 Klebsiella pneumoniae strains were isolated from blood samples of patients with bacteremia who were hospitalized at the Istanbul University Cerrahpasa Medical Faculty. Blood cultures were analyzed with the Bactec 9120 system (Becton Dickinson, USA). Antimicrobic resistance of the E. coli or K. pneumoniae strains was determined by the disk diffusion method according to the Clinical and Laboratory Standards Institute criteria. Extended spectrum beta-lactamase (ESBL) production was examined with the double-disk synergy test. The percentage of ESBL was 40% (182/459) for E. coli and 49% (111/226) for K. pneumoniae. ESBL-producing E. coli and K. pneumoniae were highly resistant to trimethoprim/sulfamethoxazole (60 and 40.5%), amoxicillin/clavulanic acid (56.5 and 48.6%), ciprofloxacin (57.6 and 35%) and gentamicin (38 and 40.5%), respectively; however, lower resistance rates were found for amikacin (19.7 and 16%) and piperacillin/tazobactam (29.6 and 24%). None of the strains were resistant to imipenem. Our data indicated that prevalence of ESBL-producing E. coli and K. pneumoniae strains isolated from blood cultures is high and antimicrobial resistance increases. Considerable effort should be made to decrease the ESBL-positive organisms.

收起

展开

DOI:

10.1159/000224657

被引量:

3

年份:

1970

SCI-Hub (全网免费下载) 发表链接

通过 文献互助 平台发起求助,成功后即可免费获取论文全文。

查看求助

求助方法1:

知识发现用户

每天可免费求助50篇

求助

求助方法1:

关注微信公众号

每天可免费求助2篇

求助方法2:

求助需要支付5个财富值

您现在财富值不足

您可以通过 应助全文 获取财富值

求助方法2:

完成求助需要支付5财富值

您目前有 1000 财富值

求助

我们已与文献出版商建立了直接购买合作。

你可以通过身份认证进行实名认证,认证成功后本次下载的费用将由您所在的图书馆支付

您可以直接购买此文献,1~5分钟即可下载全文,部分资源由于网络原因可能需要更长时间,请您耐心等待哦~

身份认证 全文购买

相似文献(1259)

参考文献(0)

引证文献(3)

来源期刊

-

影响因子:暂无数据

JCR分区: 暂无

中科院分区:暂无

研究点推荐

关于我们

zlive学术集成海量学术资源,融合人工智能、深度学习、大数据分析等技术,为科研工作者提供全面快捷的学术服务。在这里我们不忘初心,砥砺前行。

友情链接

联系我们

合作与服务

©2024 zlive学术声明使用前必读