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临床评价VITEK2高级专家系统对常见细菌β内酰胺耐药表型的检测和分析
引用本文:张军民,罗燕萍,崔岩,佘丹阳.临床评价VITEK2高级专家系统对常见细菌β内酰胺耐药表型的检测和分析[J].中华检验医学杂志,2003,26(4):233-235.
作者姓名:张军民  罗燕萍  崔岩  佘丹阳
作者单位:1. 100853,北京,解放军总医院微生物科
2. 100853,北京,解放军总医院微呼吸科
摘    要:目的 评价VITEK2高级专家系统(AES)对临床常见细菌β内酰胺耐药表型的检测和分析。方法 用VITEK2 AES检测并分析已知耐药表型的葡萄球菌、大肠埃希菌、克雷伯菌和阴沟肠杆菌共124株。结果 VITEK2 AES耐甲氧西林葡萄球菌、大肠埃希菌、肺炎克雷伯菌、产酸克雷伯菌产超广语β内酰胺酶ESBLs(TEM型、SHV型或CTX—M型)]、阴沟肠杆菌产诱导型AmpC酶或高产AmpC酶、ESBLs均能正确检测。对9株同时产ESBLs和高产AmpC酶阴沟肠杆菌检测,其中1株正确,其余8株只报告高产AmpC酶。结论 VITEK2 AES能够对临床菌株中重要的β内酰胺耐药表型准确检测,并能根据所测耐药表型对某些影响临床抗菌药物治疗的药敏结果进行修订。对阴沟肠杆菌某些耐药表型的分析、判断有待进一步改进。

关 键 词:临床评价  VITEK2高级专家系统  常见细菌  β内酰胺  耐药表型  检测和分析  葡萄球菌  大肠埃希菌  抗药性
修稿时间:2002年9月9日

Clinical evaluation of VITEK2 advanced expert system for detection and analysis of betalactam phenotypes in common bacteria
ZHANG Jun-min,LUO Yan-ping,CUI Yan,SHE Dan-yang.Clinical evaluation of VITEK2 advanced expert system for detection and analysis of betalactam phenotypes in common bacteria[J].Chinese Journal of Laboratory Medicine,2003,26(4):233-235.
Authors:ZHANG Jun-min  LUO Yan-ping  CUI Yan  SHE Dan-yang
Institution:ZHANG Jun-min,LUO Yan-ping,CUI Yan,SHE Dan-yang.Department of Microbiology,Chinese PLA General Hospital,Beijing 100853,China
Abstract:Objective To evaluate VITEK2 Advanced Expert System (AES) for detection and analysis of clinically important beta-lactam phenotypes.Methods 124 known resistant phenotype strains including Staphylococcus spp, E.coli, Klebsiella spp. and Ent. cloacae were tested by VITEK2 AES. Results The resistant phenotypes for methicillin susceptible, and resistant Staphylococcus spp, producing ESBL E. coli, Klebsiella spp. and Ent. cloacae isolates, and inducible AmpC and hyperproduced AmpC Ent. cloacae isolates can be accurately identified by VITEK2 AES. The most Ent. cloacae strains for both producing ESBLs and hyperproduced AmpC were partially identified.Conclusion VITEK2 AES can be accurately identified most clinically important beta-lactam phenotypes and suggested additional therapeutic correction based on phenotype. Certain problems for Ent. cloacae in the study should be remediable with further work on AES.
Keywords:Expert system  beta-Lactamases  Drug resistance  Microbial  Phenotype
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