Comparison of Automated Antimicrobial Susceptibility Testing Systems To Detect mecC-Positive Methicillin-Resistant Staphylococcus aureus

J Clin Microbiol. 2017 Dec;55(12):3554-3556. doi: 10.1128/JCM.01150-17. Epub 2017 Sep 13.

Camille Kolenda^{1

2}, Céline Dupieux^{3

2}, Jean-Winoc Decousser^{4

5}, Anders Rhod Larsen⁶, Bruno Pichon⁷, Mark Holmes⁸, Michèle Bès^{3

2}, Christopher Teale⁸, Elizabeth Dickson⁹, Robert Hill⁷, Robert Skov⁶, Angela Kearns⁷, Frédéric Laurent^{3

2

10}

¹ National Reference Centre for Staphylococci, International Centre of Infectious Research, INSERM U1111, CNRS UMR5308, University of Lyon 1, ENS de Lyon, Lyon, France camille.kolenda@chu-lyon.fr.
² Institute of Infectious Agents, Hospices Civils de Lyon, Lyon, France.
³ National Reference Centre for Staphylococci, International Centre of Infectious Research, INSERM U1111, CNRS UMR5308, University of Lyon 1, ENS de Lyon, Lyon, France.
⁴ Department of Virology, Bacteriology-Infect Control, Parasitology-Mycology, Assistance Publique-Hôpitaux de Paris, University Hospital Henri Mondor, Créteil, France.
⁵ Infection, Antimicrobials, Modelling, Evolution (IAME), UMR 1137, INSERM, Paris, France.
⁶ Department of Microbiological Surveillance and Research, Statens Serum Institut, Copenhagen, Denmark.
⁷ Antimicrobial Resistance and Healthcare Associated Infections Reference Unit, National Infection Service, Public Health England, London, United Kingdom.
⁸ Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom.
⁹ Scottish MRSA Reference Service, Scottish Microbiology Reference Laboratories, Glasgow, United Kingdom.
¹⁰ Microbiology-Mycology Department, Institut des Sciences Pharmaceutiques et Biologiques de Lyon, University of Lyon, Lyon, France.

No abstract available

Keywords: AST; Staphylococcus aureus; automated antimicrobial susceptibility testing; mecC; methicillin resistance.

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