Literature DB >> 15585502

Antimicrobial susceptibility testing of vancomycin-resistant Enterococcus by the VITEK 2 system, and comparison with two NCCLS reference methods.

Intetsu Kobayashi1, Hiroe Muraoka1, Takako Iyoda1, Minoru Nishida1, Miyuki Hasegawa1, Keizou Yamaguchi1.   

Abstract

We evaluated the automated VITEK 2 system (bioMerieux) for antimicrobial susceptibility testing of vancomycin-resistant Enterococcus (VRE). The results obtained with the VITEK 2 system were compared to those obtained using two NCCLS reference methods. The VITEK 2 system produced MICs for penicillin G, erythromycin and vancomycin that were very similar to those of the reference agar-dilution test with all results being within a twofold dilution. When MICs of teicoplanin for these isolates were measured by the agar-dilution method and VITEK 2 system, there was one 'very major' error and seven 'minor' errors. There were no 'major' errors for any of the antibiotics tested. When the results obtained by the micro broth-dilution method were compared with those obtained by the VITEK 2 system, there was one 'very major' error for teicoplanin by the VITEK 2 system, as was the case with the agar-dilution method. There were two 'minor' errors for erythromycin and seven 'minor' errors for teicoplanin. There were no 'major' errors for any of the antibiotics tested. The 35 VRE strains identified phenotypically by the VITEK 2 Advanced Expert System included nine of Enterococcus faecalis and 23 of Enterococcus faecium. Neither Enterococcus avium nor Enterococcus hirae were identified. A total of 32 phenotypes were classified into 22 VanA and 10 VanB strains. PCR genotyping demonstrated 23 vanA+ and nine vanB+ strains. There were differences between the VITEK 2 system results and those of PCR. Overall, 54.3 % of the test results were obtained within 7 h. All MIC values for the 35 VRE isolates were determined within 13 h of completing incubation. The VITEK 2 system is a simple method for accurately detecting vancomycin-resistant strains of Enterococcus and can be used to rapidly determine MICs.

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Year:  2004        PMID: 15585502     DOI: 10.1099/jmm.0.45765-0

Source DB:  PubMed          Journal:  J Med Microbiol        ISSN: 0022-2615            Impact factor:   2.472


  5 in total

1.  Validation of VITEK 2 version 4.01 software for detection, identification, and classification of glycopeptide-resistant enterococci.

Authors:  Marianne Abele-Horn; Leif Hommers; René Trabold; Matthias Frosch
Journal:  J Clin Microbiol       Date:  2006-01       Impact factor: 5.948

Review 2.  Expert systems in clinical microbiology.

Authors:  Trevor Winstanley; Patrice Courvalin
Journal:  Clin Microbiol Rev       Date:  2011-07       Impact factor: 26.132

3.  Sources of systematic errors in the epidemiology of vancomycin-resistant enterococci.

Authors:  N T Mutters; U Frank
Journal:  Infection       Date:  2013-02-06       Impact factor: 3.553

4.  Characterization of Clinical Isolates of Enterococci with Special Reference to Glycopeptide Susceptibility at a Tertiary Care Center of Eastern Nepal.

Authors:  Aasish Karna; Ratna Baral; Basudha Khanal
Journal:  Int J Microbiol       Date:  2019-07-01

5.  Identification, antimicrobial resistance and genotypic characterization of Enterococcus spp. isolated in Porto Alegre, Brazil.

Authors:  Eduardo André Bender; Ana Lúcia Peixoto de Freitas; Keli Cristine Reiter; Larissa Lutz; Afonso Luís Barth
Journal:  Braz J Microbiol       Date:  2009-09-01       Impact factor: 2.476

  5 in total

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