J Med Microbiol 55 (2006), 387-392; DOI: 10.1099/jmm.0.46231-0
© 2006 Society for General Microbiology
ISSN 0022-2615
Identification of biochemically atypical Staphylococcus aureus clinical isolates with three automated identification systems
Yoshikazu Ishii1,
Jimena Alba1,
Chikako Maehara2,
Hinako Murakami2,
Tetsuya Matsumoto1,2,
Kazuhiro Tateda1,2,
Nobuhiko Furuya1,2,
Morihiro Iwata2 and
Keizo Yamaguchi1,2
1 Department of Microbiology and Infectious Diseases, Toho University School of Medicine, 5-21-16 Omori-nishi, Ota-ku, Tokyo 1438540, Japan
2 Clinical Laboratory Department, Toho University Omori Hospital, Japan
Correspondence
Yoshikazu Ishii
yoishii{at}med.toho-u.ac.jp
Received 6 July 2005
Accepted 23 November 2005
Between January and April 2002, a total of 271 strains of Staphylococcus aureus were isolated from clinical specimens at Toho University Omori Hospital, Japan, including 201 (74·2 %) which were identified as meticillin-resistant S. aureus (MRSA). However, 34 (12·5 %) were biochemically atypical, because they did not produce acid on mannitol salt agar or did not agglutinate in Staphaurex testing but were categorized as MRSA by PCR analysis and by antibiotic susceptibility. Three automatic identification systems, AutoScan-4® (Dade Behring), BD PhoenixTM (Becton Dickinson) and Vitek® 2 (bioMérieux), were evaluated by testing these atypical S. aureus isolates. The AutoScan-4® and PhoenixTM systems identified all 34 isolates as S. aureus. Without additional tests such as Staphaurex, observation of colony pigment and haemolysins on sheep blood agar, Vitek® 2 identified only 16 isolates (47·1 %) as S. aureus with good or better confidence levels and misidentified one of the remaining isolates as Staphylococcus chromogenes. This study shows that it is possible to identify these physiologically atypical S. aureus isolates correctly by using the PhoenixTM and AutoScan-4® fully automatic identification systems.
Abbreviations: MRSA, meticillin-resistant Staphylococcus aureus.
Copyright © 2006 Society for General Microbiology.