Literature DB >> 16862322

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

Juliana Caierão1, Silvana Superti, Cícero Ag Dias, Pedro Alves d'Azevedo.   

Abstract

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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Year:  2006        PMID: 16862322     DOI: 10.1590/s0074-02762006000300009

Source DB:  PubMed          Journal:  Mem Inst Oswaldo Cruz        ISSN: 0074-0276            Impact factor:   2.743


  6 in total

Review 1.  Expert systems in clinical microbiology.

Authors:  Trevor Winstanley; Patrice Courvalin
Journal:  Clin Microbiol Rev       Date:  2011-07       Impact factor: 26.132

2.  Validation of the MicroScan-96 for the species identification and methicillin susceptibility testing of clinical significant coagulase-negative staphylococci.

Authors:  L Patteet; H Goossens; M Ieven
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2011-08-04       Impact factor: 3.267

3.  Oxacilin-resistant Coagulase-negative staphylococci (CoNS) bacteremia in a general hospital at São Paulo city, Brasil.

Authors:  P A d'Azevedo; C Secchi; A L S Antunes; T Sales; F M Silva; R Tranchesi; A C C Pignatari
Journal:  Braz J Microbiol       Date:  2008-12-01       Impact factor: 2.476

4.  History and evolution of antibiotic resistance in coagulase-negative staphylococci: Susceptibility profiles of new anti-staphylococcal agents.

Authors:  Joseph F John; Alexander M Harvin
Journal:  Ther Clin Risk Manag       Date:  2007-12       Impact factor: 2.423

5.  Detection of methicillin-resistance gene in Staphylococcus epidermidis strains isolated from patients in Al-Zahra Hospital using polymerase chain reaction and minimum inhibitory concentration methods.

Authors:  Ebtehaj Pishva; Seyed Asghar Havaei; Firouz Arsalani; Tahmineh Narimani; Amir Azimian; Mojtaba Akbari
Journal:  Adv Biomed Res       Date:  2013-03-06

6.  Detection of the mecA gene and identification of Staphylococcus directly from blood culture bottles by multiplex polymerase chain reaction.

Authors:  Taisa Trevizani Rocchetti; Katheryne Benini Martins; Patricia Yoshida Faccioli Martins; Rogério Antonio de Oliveira; Alessandro Lia Mondelli; Carlos Magno Castelo Branco Fortaleza; Maria de Lourdes Ribeiro de Souza da Cunha
Journal:  Braz J Infect Dis       Date:  2018-03-13       Impact factor: 3.257

  6 in total

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