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Comparison of the MicroScan, VITEK 2, and Crystal GP with 16S rRNA sequencing and MicroSeq 500 v2.0 analysis for coagulase-negative Staphylococci

Cited 39 time in Web of Science Cited 40 time in Scopus
Authors
Kim, Miyoung; Heo, Se Ran; Choi, Soon Hee; Kwon, Hyelin; Park, Jeong Su; Seong, Moon-Woo; Lee, Do-Hoon; Park, Kyoung Un; Song, Junghan; Kim, Eui-Chong
Issue Date
2008-12-25
Publisher
BioMed Central
Citation
BMC Microbiol. 2008 Dec 23;8:233.
Keywords
Bacteriological Techniques/*methods/*standardsCoagulase/metabolismPhenotypeRNA, Ribosomal, 16S/geneticsReproducibility of ResultsStaphylococcal Infections/microbiologyStaphylococcus/*classification/enzymology/genetics/*physiology
Abstract
BACKGROUND: Three phenotypic identification systems (MicroScan, VITEK 2, and Crystal GP) were evaluated for their accuracy to identify coagulase-negative staphylococci (CNS). A total of 120 clinical isolates confirmed to be CNS via 16S rRNA sequencing and analysis with the MicroSeq 500 v2.0 database were assessed. RESULTS: The MicroScan, VITEK 2, and Crystal GP systems correctly identified 82.5%, 87.5%, and 67.5% of the isolates, respectively. Misidentification was the main problem in MicroScan (10.8%) and Crystal GP (23.3%) systems, whereas the main problem of VITEK 2 was low-level discrimination (7.5%). CONCLUSION: None of the 3 phenotypic systems tested could accurately and reliably identify CNS at the species level. Further verifications such as biochemical testing or 16S rRNA sequencing together with analysis using a comparable database might be helpful in this regard.
ISSN
1471-2180 (Electronic)
1471-2180 (Linking)
Language
English
URI
http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=19105808

http://www.biomedcentral.com/content/pdf/1471-2180-8-233.pdf

http://hdl.handle.net/10371/63095
DOI
https://doi.org/10.1186/1471-2180-8-233
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College of Medicine/School of Medicine (의과대학/대학원)Laboratory Medicine (검사의학전공)Journal Papers (저널논문_검사의학전공)
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