Literature DB >> 21543578

Comparative evaluation of three commercial identification systems using common and rare bloodstream yeast isolates.

Joseph Meletiadis1, Michael Arabatzis, Maria Bompola, Konstantinos Tsiveriotis, Stavroula Hini, Efthymia Petinaki, Aristea Velegraki, Loukia Zerva.   

Abstract

The commercial yeast identification systems API ID32C, Auxacolor, and Vitek were evaluated using 251 molecularly identified bloodstream isolates and 2 reference strains, representing a total of 35 species (6 common and 29 rare). Correct identification rates were higher for common species (Auxacolor, 95%; API ID32C, 94%; Vitek, 92%) than for rare species (Auxacolor, 43%; API ID32C, 56%; Vitek, 64%). All systems performed equally among the former, and Vitek performed best among the latter.

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Year:  2011        PMID: 21543578      PMCID: PMC3147866          DOI: 10.1128/JCM.01253-10

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


  20 in total

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Journal:  FEMS Immunol Med Microbiol       Date:  1999-04

Review 2.  Yeast identification in the clinical microbiology laboratory: phenotypical methods.

Authors:  A M Freydiere; R Guinet; P Boiron
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3.  Evaluation of four commercial systems for identification of medically important yeasts.

Authors:  I Schuffenecker; A Freydière; H de Montclos; Y Gille
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4.  Comparative study of seven commercial yeast identification systems.

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8.  Comparison of the API Candida system with the AUXACOLOR system for identification of common yeast pathogens.

Authors:  C K Campbell; K G Davey; A D Holmes; A Szekely; D W Warnock
Journal:  J Clin Microbiol       Date:  1999-03       Impact factor: 5.948

9.  Rapid identification of Candida albicans and other human pathogenic yeasts by using short oligonucleotides in a PCR.

Authors:  B M Mannarelli; C P Kurtzman
Journal:  J Clin Microbiol       Date:  1998-06       Impact factor: 5.948

10.  Nosocomial bloodstream infections in US hospitals: analysis of 24,179 cases from a prospective nationwide surveillance study.

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  16 in total

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Review 4.  Are the Conventional Commercial Yeast Identification Methods Still Helpful in the Era of New Clinical Microbiology Diagnostics? A Meta-Analysis of Their Accuracy.

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5.  Comparison and optimization of two MALDI-TOF MS platforms for the identification of medically relevant yeast species.

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6.  Molecular identification and antifungal susceptibility testing of Pucciniomycotina red yeast clinical isolates from Rio de Janeiro, Brazil.

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7.  Intra- and Interlaboratory Agreement in Assessing the In Vitro Activity of Micafungin against Common and Rare Candida Species with the EUCAST, CLSI, and Etest Methods.

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8.  Matrix-assisted laser desorption/ionization time-of-flight mass spectrometric identification and antifungal susceptibility analysis of Candida species isolated from patients with invasive yeast infections in five university hospitals.

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9.  Three cases of candidiasis misidentified as Candida famata by the Vitek 2 system.

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10.  Species identification of invasive yeasts including Candida in Pakistan: limitations of phenotypic methods.

Authors:  Joveria Farooqi; Kauser Jabeen; Noureen Saeed; Afia Zafar; Mary Eleanor Brandt; Rumina Hasan
Journal:  J Pak Med Assoc       Date:  2012-10       Impact factor: 0.781

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