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使用半自动微生物系统和手工检测程序检测肠杆菌科细菌中的超广谱β-内酰胺酶

Detection of extended-spectrum beta-lactamases among Enterobacteriaceae by use of semiautomated microbiology systems and manual detection procedures.

作者信息

Wiegand Irith, Geiss Heinrich K, Mack Dietrich, Stürenburg Enno, Seifert Harald

机构信息

Institute for Medical Microbiology, Immunology, and Hygiene, University of Cologne, Goldenfelsstr. 19-21, 50935 Cologne, Germany.

出版信息

J Clin Microbiol. 2007 Apr;45(4):1167-74. doi: 10.1128/JCM.01988-06. Epub 2007 Feb 7.

Abstract

Three commercially available microbiology identification and susceptibility testing systems were compared with regard to their ability to detect extended-spectrum beta-lactamase (ESBL) production in Enterobacteriaceae, i.e., the Phoenix Automated Microbiology System (BD Diagnostic Systems, Sparks, MD), the VITEK 2 System (bioMérieux, Marcy l'Etoile, France), and the MicroScan WalkAway-96 System (Dade Behring, Inc., West Sacramento, CA), using routine testing panels. One hundred fifty putative ESBL producers were distributed blindly to three participating laboratories. Conventional phenotypic confirmatory tests such as the disk approximation method, the CLSI double-disk synergy test, and the Etest ESBL were also evaluated. Biochemical and molecular characterization of beta-lactamases performed at an independent laboratory was used as the reference method. One hundred forty-seven isolates of Escherichia coli, Klebsiella pneumoniae, Klebsiella oxytoca, Enterobacter cloacae, Enterobacter aerogenes, Citrobacter freundii, Serratia marcescens, Proteus mirabilis, Proteus vulgaris, and Morganella morganii were investigated. Of these isolates, 85 were identified as ESBL producers by the reference method. The remaining isolates were identified as non-ESBL producers; they were either hyperproducers of their chromosomal AmpC, Koxy, or SHV enzymes or lacked any detectable beta-lactamase activity. The system with the highest sensitivity for the detection of ESBLs was the Phoenix (99%), followed by the VITEK 2 (86%) and the MicroScan (84%); however, specificity was more variable, ranging from 52% (Phoenix) to 78% (VITEK 2). The performance of the semiautomated systems differed widely with the species investigated. The sensitivities of the conventional test methods ranged from 93 to 94%. The double-disk synergy test showed the highest specificity and positive predictive value among all test methods, i.e., 97% and 98%, respectively.

摘要

比较了三种市售的微生物鉴定和药敏试验系统检测肠杆菌科细菌中产超广谱β-内酰胺酶(ESBL)的能力,即使用常规检测板的菲尼克斯自动化微生物系统(BD诊断系统公司,美国马里兰州斯帕克斯)、VITEK 2系统(生物梅里埃公司,法国马西莱图瓦勒)和MicroScan WalkAway-96系统(达德拜林公司,美国加利福尼亚州西萨克拉门托)。150株疑似产ESBL细菌被随机分发给三个参与实验室。还评估了传统的表型确证试验,如纸片扩散法、CLSI双纸片协同试验和Etest ESBL试验。在独立实验室进行的β-内酰胺酶生化和分子特征鉴定用作参考方法。对147株大肠杆菌、肺炎克雷伯菌、产酸克雷伯菌、阴沟肠杆菌、产气肠杆菌、弗氏柠檬酸杆菌、粘质沙雷菌、奇异变形杆菌、普通变形杆菌和摩根摩根菌进行了研究。通过参考方法,这些菌株中有85株被鉴定为产ESBL细菌。其余菌株被鉴定为非产ESBL细菌;它们要么是染色体AmpC、Koxy或SHV酶的高产菌,要么缺乏任何可检测到的β-内酰胺酶活性。检测ESBL敏感性最高的系统是菲尼克斯系统(99%),其次是VITEK 2系统(86%)和MicroScan系统(84%);然而,特异性变化较大,从52%(菲尼克斯系统)到78%(VITEK 2系统)。半自动系统的性能因所研究的菌种不同而有很大差异。传统检测方法的敏感性范围为93%至94%。双纸片协同试验在所有检测方法中显示出最高的特异性和阳性预测值,分别为97%和98%。

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本文引用的文献

1
The beta-lactamase threat in Enterobacteriaceae, Pseudomonas and Acinetobacter.
Trends Microbiol. 2006 Sep;14(9):413-20. doi: 10.1016/j.tim.2006.07.008. Epub 2006 Jul 31.
3
Multiplex PCR for rapid detection of genes encoding CTX-M extended-spectrum (beta)-lactamases.
J Antimicrob Chemother. 2006 Jan;57(1):154-5. doi: 10.1093/jac/dki412. Epub 2005 Nov 10.
4
Extended-spectrum beta-lactamases: a clinical update.
Clin Microbiol Rev. 2005 Oct;18(4):657-86. doi: 10.1128/CMR.18.4.657-686.2005.
5
Treatment of infections with ESBL-producing organisms: pharmacokinetic and pharmacodynamic considerations.
Clin Microbiol Infect. 2005 Nov;11 Suppl 6:10-7. doi: 10.1111/j.1469-0691.2005.01265.x.
6
Emergence of Enterobacteriaceae producing extended-spectrum beta-lactamases (ESBLs) in the community.
J Antimicrob Chemother. 2005 Jul;56(1):52-9. doi: 10.1093/jac/dki166. Epub 2005 May 25.
8
Evaluation of four commercially available extended-spectrum beta-lactamase phenotypic confirmation tests.
J Clin Microbiol. 2005 Mar;43(3):1081-5. doi: 10.1128/JCM.43.3.1081-1085.2005.

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