Literature DB >> 21814758

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

L Patteet1, H Goossens, M Ieven.   

Abstract

An automated system, MicroScan WalkAway-96, in conjugation with Combo Pos® 28 panels, was validated for the identification and methicillin susceptibility of coagulase-negative staphylococci (CNS). The performance of this system was evaluated on 428 CNS. Identification results were compared using a validated in-house method. Methicillin susceptibility was compared with oxacillin MIC testing and the presence of the mecA gene by PCR (in-house real-time method). The MicroScan system correctly identified 94.6% of the staphylococci (405 out of 428). 3.5% of the strains (15 out of 428) were not correctly identified. 1.9% of the isolates (8 out of 428) were correctly identified with a low probability. Identification of Staphylococcus warneri and Staphylococcus lugdunensis was determined with the least accuracy. Microscan combines both oxacillin and cefoxitin for determination of the methicillin susceptibility result. Correlation between this result and the mecA method was 97.6%. Correlation with the oxacillin MIC method was also 97.6%. Fourteen isolates showed a discrepant result, 8 were reported to be resistant in mecA-negative strains, 2 were reported false-susceptible in mecA positive strains and 4 strains showed a discrepant result with oxacillin MIC, but not with mecA determination. The automated system can be considered a simple and reliable method for identification and methicillin susceptibility of CNS.

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Year:  2011        PMID: 21814758     DOI: 10.1007/s10096-011-1368-x

Source DB:  PubMed          Journal:  Eur J Clin Microbiol Infect Dis        ISSN: 0934-9723            Impact factor:   3.267


  15 in total

1.  Correlation of oxacillin MIC with mecA gene carriage in coagulase-negative staphylococci.

Authors:  Z Hussain; L Stoakes; V Massey; D Diagre; V Fitzgerald; S El Sayed; R Lannigan
Journal:  J Clin Microbiol       Date:  2000-02       Impact factor: 5.948

2.  Correlation between genotype and phenotypic categorization of staphylococci based on methicillin susceptibility and resistance.

Authors:  E Gradelski; L Valera; L Aleksunes; D Bonner; J Fung-Tomc
Journal:  J Clin Microbiol       Date:  2001-08       Impact factor: 5.948

3.  Coagulase-negative staphylococci: comparison of phenotypic and genotypic oxacillin susceptibility tests and evaluation of the agar screening test by using different concentrations of oxacillin.

Authors:  Rosana B R Ferreira; Natalia L P Iorio; Karoline L Malvar; Ana Paula F Nunes; Leila S Fonseca; Carla C R Bastos; Kátia R N Santos
Journal:  J Clin Microbiol       Date:  2003-08       Impact factor: 5.948

4.  Survey of infections due to Staphylococcus species: frequency of occurrence and antimicrobial susceptibility of isolates collected in the United States, Canada, Latin America, Europe, and the Western Pacific region for the SENTRY Antimicrobial Surveillance Program, 1997-1999.

Authors:  D J Diekema; M A Pfaller; F J Schmitz; J Smayevsky; J Bell; R N Jones; M Beach
Journal:  Clin Infect Dis       Date:  2001-05-15       Impact factor: 9.079

5.  Evaluation of MicroScan Rapid Pos Combo panels for identification of staphylococci.

Authors:  L Stoakes; B C Schieven; E Ofori; P Ewan; R Lannigan; Z Hussain
Journal:  J Clin Microbiol       Date:  1992-01       Impact factor: 5.948

6.  Rapid and economical method for species identification of clinically significant coagulase-negative staphylococci.

Authors:  M Ieven; J Verhoeven; S R Pattyn; H Goossens
Journal:  J Clin Microbiol       Date:  1995-05       Impact factor: 5.948

Review 7.  Methicillin resistance in staphylococci: molecular and biochemical basis and clinical implications.

Authors:  H F Chambers
Journal:  Clin Microbiol Rev       Date:  1997-10       Impact factor: 26.132

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

Authors:  Juliana Caierão; Silvana Superti; Cícero Ag Dias; Pedro Alves d'Azevedo
Journal:  Mem Inst Oswaldo Cruz       Date:  2006-05       Impact factor: 2.743

9.  Comparison of the MicroScan system with the API Staph-Ident system for species identification of coagulase-negative staphylococci.

Authors:  Z Hussain; L Stoakes; D L Stevens; B C Schieven; R Lannigan; C Jones
Journal:  J Clin Microbiol       Date:  1986-01       Impact factor: 5.948

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

Authors:  Miyoung Kim; Se Ran Heo; Soon Hee Choi; Hyelin Kwon; Jeong Su Park; Moon-Woo Seong; Do-Hoon Lee; Kyoung Un Park; Junghan Song; Eui-Chong Kim
Journal:  BMC Microbiol       Date:  2008-12-23       Impact factor: 3.605

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