首页> 外文期刊>Clinical microbiology and infection: European Society of Clinical Microbiology and Infectious Diseases >Evaluation of VITEK 2 for analysis of Enterobacteriaceae using the Advanced Expert System (AES) versus interpretive susceptibility guidelines used at Dynacare Kasper Medical Laboratories, Edmonton, Alberta.
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Evaluation of VITEK 2 for analysis of Enterobacteriaceae using the Advanced Expert System (AES) versus interpretive susceptibility guidelines used at Dynacare Kasper Medical Laboratories, Edmonton, Alberta.

机译:使用高级专家系统(AES)对VITEK 2进行肠杆菌科分析进行评估,对比艾伯塔省埃德蒙顿的Dynacare Kasper医学实验室使用的解释性药敏性指南。

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OBJECTIVE: To evaluate the applicability and adaptability of the bioMerieux VITEK 2 Advanced Expert System (AES) to the customized interpretive susceptibility guidelines used at Dynacare Kasper Medical Laboratories (DKML). METHODS: Three hundred isolates of Enterobacteriaceae (not more than 30% Escherichia coli) were tested on the VITEK 2 system and the API 20E for identification. Susceptibility testing for these isolates was performed on the VITEK 2 system and the Pasco broth microdilution panels. Minimal inhibitory concentrations (MICs) and interpreted results according to the AES and DKML antimicrobial susceptibility guidelines were compared. RESULTS: Of 300 isolates tested for susceptibility, 13 did not give AES interpretations. Of the remaining 287 isolates, interpretations between AES and DKML guidelines were compared for 10 antibiotics. The overall correlation between the AES and DKML interpretations was 96.2%. CONCLUSION: This study demonstrated the benefits and limitations of the bioMerieux AES. Automated knowledge-based systems provide a useful laboratory tool for the interpretation of susceptibility results.
机译:目的:评估bioMerieux VITEK 2高级专家系统(AES)对Dynacare Kasper医学实验室(DKML)所使用的定制解释性药敏性指南的适用性和适应性。方法:在VITEK 2系统和API 20E上测试了300株肠杆菌科细菌(不超过30%的大肠杆菌)以进行鉴定。这些分离物的药敏试验在VITEK 2系统和Pasco肉汤微稀释板上进行。比较了最低抑菌浓度(MIC)和根据AES和DKML抗菌药敏性指南得出的解释结果。结果:在300株分离株的药敏试验中,有13株未给出AES解释。在其余的287种分离物中,比较了AES和DKML指南之间的解释对10种抗生素的理解。 AES和DKML解释之间的总体相关性是96.2%。结论:本研究证明了bioMerieux AES的优点和局限性。自动化的基于知识的系统为解释敏感性结果提供了有用的实验室工具。

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