Literature DB >> 16182075

Identification of glycopeptide-resistant enterococci by VITEK 2 system and conventional and real-time polymerase chain reaction.

Alexandra Eisner1, Gregor Gorkiewicz, Gebhard Feierl, Eva Leitner, Josef Köfer, Harald H Kessler, Egon Marth.   

Abstract

Glycopeptide-resistant enterococci (GRE) are important causes of nosocomial infections in the United States and in Europe. Rapid detection of GRE is essential for the implementation of appropriate control measures to prevent the spread of GRE. In this study, we compared the reliability of 3 different methods, VITEK 2 automated system (bioMérieux), a conventional multiplex polymerase chain reaction (m-PCR) protocol, and a real-time PCR protocol performed on the LightCycler system (Roche) for identification of GRE in the routine microbiology laboratory. Species identification and glycopeptide resistance determination was tested with 80 enterococcal isolates with different glycopeptide resistance phenotypes. With the VITEK 2 system, 39% of the strains were correctly identified to species level. Resistance to vancomycin was detected in all isolates; however, discrepancies occurred in the correct detection of teicoplanin resistance. The PCR protocols proved to be suitable for detecting clinically relevant GRE; 90% of the isolates studied were correctly identified with the conventional m-PCR and 100% of vanA and vanB isolates with the real-time PCR protocol, respectively. High specificity and rapidity make the real-time PCR assays superior tools for identification of GRE in clinical samples; however, they do not have the ability to detect vanC.

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Year:  2005        PMID: 16182075     DOI: 10.1016/j.diagmicrobio.2005.04.001

Source DB:  PubMed          Journal:  Diagn Microbiol Infect Dis        ISSN: 0732-8893            Impact factor:   2.803


  4 in total

1.  Rapid identification of clinically relevant Enterococcus species by fluorescence in situ hybridization.

Authors:  Nele Wellinghausen; Melanie Bartel; Andreas Essig; Sven Poppert
Journal:  J Clin Microbiol       Date:  2007-08-01       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.  Use of the Phoenix automated system for identification of Streptococcus and Enterococcus spp.

Authors:  Gioconda Brigante; Francesco Luzzaro; Alessia Bettaccini; Gianluigi Lombardi; Francesca Meacci; Beatrice Pini; Stefania Stefani; Antonio Toniolo
Journal:  J Clin Microbiol       Date:  2006-09       Impact factor: 5.948

4.  Drug susceptibility testing of clinical isolates of streptococci and enterococci by the Phoenix automated microbiology system.

Authors:  Gioconda R Brigante; Francesco A Luzzaro; Beatrice Pini; Gianluigi Lombardi; Gertrude Sokeng; Antonio Q Toniolo
Journal:  BMC Microbiol       Date:  2007-05-23       Impact factor: 3.605

  4 in total

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