Automated systems in the identification and determination of methicillin resistance among coagulase negative staphylococci

Coagulase-negative staphylococci (CoNS) are an important cause of nosocomial bacteremia, specially in patients with indwelling devices or those submitted to invasive medical procedures. The identification of species and the accurate and rapid detection of methicillin resistance are directly dependent on the quality of the identification and susceptibility tests used, either manual or automated. The objective of this study was to evaluate the accuracy of two automated systems MicroScan and Vitek - in the identification of CoNS species and determination of susceptibility to methicillin, considering as gold standard the biochemical tests and the characterization of the mecA gene by polymerase chain reaction, respectively. MicroScan presented better results in the identification of CoNS species (accuracy of 96.8 vs 78.8%, respectively); isolates from the following species had no precise identification: Staphylococcus haemolyticus, S. simulans, and S. capitis. Both systems were similar in the characterization of methicillin resistance. The higher discrepancies for gene mec detection were observed among species other than S. epidermidis (S. hominis, S. saprophyticus, S. sciuri, S. haemolyticus, S. warneri, S. cohnii), and those with borderline MICs.

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Main Authors: Caierão,Juliana, Superti,Silvana, Dias,Cícero AG, d'Azevedo,Pedro Alves
Format: Digital revista
Language:English
Published: Instituto Oswaldo Cruz, Ministério da Saúde 2006
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0074-02762006000300009
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spelling oai:scielo:S0074-027620060003000092006-07-12Automated systems in the identification and determination of methicillin resistance among coagulase negative staphylococciCaierão,JulianaSuperti,SilvanaDias,Cícero AGd'Azevedo,Pedro Alves coagulase-negative staphylococci methicillin automated systems Coagulase-negative staphylococci (CoNS) are an important cause of nosocomial bacteremia, specially in patients with indwelling devices or those submitted to invasive medical procedures. The identification of species and the accurate and rapid detection of methicillin resistance are directly dependent on the quality of the identification and susceptibility tests used, either manual or automated. The objective of this study was to evaluate the accuracy of two automated systems MicroScan and Vitek - in the identification of CoNS species and determination of susceptibility to methicillin, considering as gold standard the biochemical tests and the characterization of the mecA gene by polymerase chain reaction, respectively. MicroScan presented better results in the identification of CoNS species (accuracy of 96.8 vs 78.8%, respectively); isolates from the following species had no precise identification: Staphylococcus haemolyticus, S. simulans, and S. capitis. Both systems were similar in the characterization of methicillin resistance. The higher discrepancies for gene mec detection were observed among species other than S. epidermidis (S. hominis, S. saprophyticus, S. sciuri, S. haemolyticus, S. warneri, S. cohnii), and those with borderline MICs.info:eu-repo/semantics/openAccessInstituto Oswaldo Cruz, Ministério da SaúdeMemórias do Instituto Oswaldo Cruz v.101 n.3 20062006-05-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0074-02762006000300009en10.1590/S0074-02762006000300009
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country Brasil
countrycode BR
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access En linea
databasecode rev-scielo-br
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libraryname SciELO
language English
format Digital
author Caierão,Juliana
Superti,Silvana
Dias,Cícero AG
d'Azevedo,Pedro Alves
spellingShingle Caierão,Juliana
Superti,Silvana
Dias,Cícero AG
d'Azevedo,Pedro Alves
Automated systems in the identification and determination of methicillin resistance among coagulase negative staphylococci
author_facet Caierão,Juliana
Superti,Silvana
Dias,Cícero AG
d'Azevedo,Pedro Alves
author_sort Caierão,Juliana
title Automated systems in the identification and determination of methicillin resistance among coagulase negative staphylococci
title_short Automated systems in the identification and determination of methicillin resistance among coagulase negative staphylococci
title_full Automated systems in the identification and determination of methicillin resistance among coagulase negative staphylococci
title_fullStr Automated systems in the identification and determination of methicillin resistance among coagulase negative staphylococci
title_full_unstemmed Automated systems in the identification and determination of methicillin resistance among coagulase negative staphylococci
title_sort automated systems in the identification and determination of methicillin resistance among coagulase negative staphylococci
description Coagulase-negative staphylococci (CoNS) are an important cause of nosocomial bacteremia, specially in patients with indwelling devices or those submitted to invasive medical procedures. The identification of species and the accurate and rapid detection of methicillin resistance are directly dependent on the quality of the identification and susceptibility tests used, either manual or automated. The objective of this study was to evaluate the accuracy of two automated systems MicroScan and Vitek - in the identification of CoNS species and determination of susceptibility to methicillin, considering as gold standard the biochemical tests and the characterization of the mecA gene by polymerase chain reaction, respectively. MicroScan presented better results in the identification of CoNS species (accuracy of 96.8 vs 78.8%, respectively); isolates from the following species had no precise identification: Staphylococcus haemolyticus, S. simulans, and S. capitis. Both systems were similar in the characterization of methicillin resistance. The higher discrepancies for gene mec detection were observed among species other than S. epidermidis (S. hominis, S. saprophyticus, S. sciuri, S. haemolyticus, S. warneri, S. cohnii), and those with borderline MICs.
publisher Instituto Oswaldo Cruz, Ministério da Saúde
publishDate 2006
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0074-02762006000300009
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