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

被引：41

作者：

Kim, Miyoung ^{[1
]}

Heo, Se Ran ^{[2
]}

Choi, Soon Hee ^{[2
]}

Kwon, Hyelin ^{[2
]}

Park, Jeong Su ^{[1
]}

Seong, Moon-Woo ^{[3
]}

Lee, Do-Hoon ^{[3
]}

Park, Kyoung Un ^{[1
,2
,4
]}

Song, Junghan ^{[1
,2
,4
]}

Kim, Eui-Chong ^{[1
,4
]}

机构：

[1] Seoul Natl Univ Hosp, Dept Lab Med, Seoul 110744, South Korea

[2] Seoul Natl Univ, Dept Lab Med, Bundang Hosp, Songnam, Gyeonggi Do, South Korea

[3] Natl Canc Ctr, Dept Lab Med, Goyang, Gyeonggi Do, South Korea

[4] Seoul Natl Univ, Coll Med, Dept Lab Med, Seoul, South Korea

来源：

BMC MICROBIOLOGY | 2008年 / 8卷 / 1期

关键词：

D O I：

10.1186/1471-2180-8-233

中图分类号：

Q93 [微生物学];

学科分类号：

071005 ; 100705 ;

摘要：

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.

引用

页数：7

共 27 条

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