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Performance evaluation of three automated identification systems in detecting carbapenem-resistant Enterobacteriaceae

BACKGROUND: Carbapenem-resistant Enterobacteriaceae (CRE) is prevalent around the world. Rapid and accurate detection of CRE is urgently needed to provide effective treatment. Automated identification systems have been widely used in clinical microbiology laboratories for rapid and high-efficient id...

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Autores principales: He, Qingwen, Chen, Weiyuan, Huang, Liya, Lin, Qili, Zhang, Jingling, Liu, Rui, Li, Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4915035/
https://www.ncbi.nlm.nih.gov/pubmed/27328762
http://dx.doi.org/10.1186/s12941-016-0154-0
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author He, Qingwen
Chen, Weiyuan
Huang, Liya
Lin, Qili
Zhang, Jingling
Liu, Rui
Li, Bin
author_facet He, Qingwen
Chen, Weiyuan
Huang, Liya
Lin, Qili
Zhang, Jingling
Liu, Rui
Li, Bin
author_sort He, Qingwen
collection PubMed
description BACKGROUND: Carbapenem-resistant Enterobacteriaceae (CRE) is prevalent around the world. Rapid and accurate detection of CRE is urgently needed to provide effective treatment. Automated identification systems have been widely used in clinical microbiology laboratories for rapid and high-efficient identification of pathogenic bacteria. However, critical evaluation and comparison are needed to determine the specificity and accuracy of different systems. The aim of this study was to evaluate the performance of three commonly used automated identification systems on the detection of CRE. METHODS: A total of 81 non-repetitive clinical CRE isolates were collected from August 2011 to August 2012 in a Chinese university hospital, and all the isolates were confirmed to be resistant to carbapenems by the agar dilution method. The potential presence of carbapenemase genotypes of the 81 isolates was detected by PCR and sequencing. Using 81 clinical CRE isolates, we evaluated and compared the performance of three automated identification systems, MicroScan WalkAway 96 Plus, Phoenix 100, and Vitek 2 Compact, which are commonly used in China. To identify CRE, the comparator methodology was agar dilution method, while the PCR and sequencing was the comparator one to identify CPE. RESULTS: PCR and sequencing analysis showed that 48 of the 81 CRE isolates carried carbapenemase genes, including 23 (28.4 %) IMP-4, 14 (17.3 %) IMP-8, 5 (6.2 %) NDM-1, and 8 (9.9 %) KPC-2. Notably, one Klebsiella pneumoniae isolate produced both IMP-4 and NDM-1. One Klebsiellaoxytoca isolate produced both KPC-2 and IMP-8. Of the 81 clinical CRE isolates, 56 (69.1 %), 33 (40.7 %) and 77 (95.1 %) were identified as CRE by MicroScan WalkAway 96 Plus, Phoenix 100, and Vitek 2 Compact, respectively. The sensitivities/specificities of MicroScan WalkAway, Phoenix 100 and Vitek 2 were 93.8/42.4 %, 54.2/66.7 %, and 75.0/36.4 %, respectively. CONCLUSIONS: The MicroScan WalkAway and Viteck2 systems are more reliable in clinical identification of CRE, whereas additional tests are required for the Pheonix 100 system. Our study provides a useful guideline for using automated identification systems for CRE identification.
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spelling pubmed-49150352016-06-22 Performance evaluation of three automated identification systems in detecting carbapenem-resistant Enterobacteriaceae He, Qingwen Chen, Weiyuan Huang, Liya Lin, Qili Zhang, Jingling Liu, Rui Li, Bin Ann Clin Microbiol Antimicrob Research BACKGROUND: Carbapenem-resistant Enterobacteriaceae (CRE) is prevalent around the world. Rapid and accurate detection of CRE is urgently needed to provide effective treatment. Automated identification systems have been widely used in clinical microbiology laboratories for rapid and high-efficient identification of pathogenic bacteria. However, critical evaluation and comparison are needed to determine the specificity and accuracy of different systems. The aim of this study was to evaluate the performance of three commonly used automated identification systems on the detection of CRE. METHODS: A total of 81 non-repetitive clinical CRE isolates were collected from August 2011 to August 2012 in a Chinese university hospital, and all the isolates were confirmed to be resistant to carbapenems by the agar dilution method. The potential presence of carbapenemase genotypes of the 81 isolates was detected by PCR and sequencing. Using 81 clinical CRE isolates, we evaluated and compared the performance of three automated identification systems, MicroScan WalkAway 96 Plus, Phoenix 100, and Vitek 2 Compact, which are commonly used in China. To identify CRE, the comparator methodology was agar dilution method, while the PCR and sequencing was the comparator one to identify CPE. RESULTS: PCR and sequencing analysis showed that 48 of the 81 CRE isolates carried carbapenemase genes, including 23 (28.4 %) IMP-4, 14 (17.3 %) IMP-8, 5 (6.2 %) NDM-1, and 8 (9.9 %) KPC-2. Notably, one Klebsiella pneumoniae isolate produced both IMP-4 and NDM-1. One Klebsiellaoxytoca isolate produced both KPC-2 and IMP-8. Of the 81 clinical CRE isolates, 56 (69.1 %), 33 (40.7 %) and 77 (95.1 %) were identified as CRE by MicroScan WalkAway 96 Plus, Phoenix 100, and Vitek 2 Compact, respectively. The sensitivities/specificities of MicroScan WalkAway, Phoenix 100 and Vitek 2 were 93.8/42.4 %, 54.2/66.7 %, and 75.0/36.4 %, respectively. CONCLUSIONS: The MicroScan WalkAway and Viteck2 systems are more reliable in clinical identification of CRE, whereas additional tests are required for the Pheonix 100 system. Our study provides a useful guideline for using automated identification systems for CRE identification. BioMed Central 2016-06-21 /pmc/articles/PMC4915035/ /pubmed/27328762 http://dx.doi.org/10.1186/s12941-016-0154-0 Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
He, Qingwen
Chen, Weiyuan
Huang, Liya
Lin, Qili
Zhang, Jingling
Liu, Rui
Li, Bin
Performance evaluation of three automated identification systems in detecting carbapenem-resistant Enterobacteriaceae
title Performance evaluation of three automated identification systems in detecting carbapenem-resistant Enterobacteriaceae
title_full Performance evaluation of three automated identification systems in detecting carbapenem-resistant Enterobacteriaceae
title_fullStr Performance evaluation of three automated identification systems in detecting carbapenem-resistant Enterobacteriaceae
title_full_unstemmed Performance evaluation of three automated identification systems in detecting carbapenem-resistant Enterobacteriaceae
title_short Performance evaluation of three automated identification systems in detecting carbapenem-resistant Enterobacteriaceae
title_sort performance evaluation of three automated identification systems in detecting carbapenem-resistant enterobacteriaceae
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4915035/
https://www.ncbi.nlm.nih.gov/pubmed/27328762
http://dx.doi.org/10.1186/s12941-016-0154-0
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