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Journal of Clinical Microbiology, August 2008, p. 2646-2651, Vol. 46, No. 8
0095-1137/08/$08.00+0 doi:10.1128/JCM.00450-08
Copyright © 2008, American Society for Microbiology. All Rights Reserved.

Medical Microbiology Laboratory, University of Alberta Hospital, Edmonton, Alberta, Canada,1 Clinical Microbiology Laboratory, Duke University Hospital, Durham, North Carolina,2 University of Illinois Medical Center, Chicago, Illinois3
Received 6 March 2008/ Returned for modification 4 May 2008/ Accepted 11 June 2008
The new anaerobe and Corynebacterium (ANC) identification card for Vitek 2 was compared with a 16S rRNA gene sequencing (16S) reference method for accuracy in the identification of corynebacteria and anaerobic species. Testing was performed on a Vitek 2 XL system with modified software at three clinical trial laboratories. Reproducibility was determined with nine ATCC quality control strains that were tested 20 times over a minimum of 10 days at all three sites. A challenge set of 50 well-characterized strains and 365 recent fresh and frozen clinical isolates were included in the study. The expected positive and negative biochemical well reactions were also evaluated for substrate reproducibility. All strains were tested with the ANC card, and clinical isolates were saved for 16S rRNA gene sequencing. All reproducibility tests yielded expected results within a 95% confidence interval, except for that with Corynebacterium striatum ATCC 6940, for which identification failed at one trial site. For the challenge isolates, there was 98% correct identification, 5% low discrimination, and 2% incorrect identification, and 0% were unidentified. For clinical strains, there was 95.1% correct identification, 4.9% low discrimination, and 4.6% incorrect identification, and 0.3% were unidentified. The 4.6% (17/365) of clinical isolates that were incorrectly identified consisted of 14 isolates that were correct at the genus level and three that were incorrect at the genus level. The new ANC card met all performance criteria within a 95% confidence interval compared to the identification performance by 16S rRNA gene sequencing.
Published ahead of print on 18 June 2008.
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