Literature DB >> 11270413

Yeast identification in the clinical microbiology laboratory: phenotypical methods.

A M Freydiere1, R Guinet, P Boiron.   

Abstract

Emerging yeast pathogens are favoured by increasing numbers of immunocompromised patients and by certain current medical practices. These yeasts differ in their antifungal drug susceptibilities, and rapid species identification is imperative. A large variety of methods have been developed with the aim of facilitating rapid, accurate yeast identification. Significant recent commercial introductions have included species-specific direct enzymatic colour tests, differential chromogenic isolation plates, direct immunological tests, and enhanced manual and automated biochemical and enzymatic panels. Chromogenic isolation media demonstrate better detection rates of yeasts in mixed cultures than traditional media, and allow the direct identification of Candida albicans by means of colony colour. Comparative evaluation of rapid methods for C. albicans identification, including the germ tube test, shows that chromogenic media may be economically advantageous. Accurate tests for single species include the Bichrolatex Albicans and Krusei Color tests, both immunologically based, as well as the Remel Rapid Trehalose Assimilation Broth for C. glabrata. Among broad-spectrum tests, the RapID Yeast Plus system gives same-day identification of clinical yeasts, but performance depends on inoculum density and geographic isolate source. The API 20 C AUX system is considered a reference method, but newer systems such as Auxacolor and Fungichrom are as accurate and are more convenient. Among automated systems, the ID 32 C strip, the Vitek Yeast Biochemical Card and the Vitek 2 ID-YST system correctly identify >93% of common yeasts, but the ID-YST is the most accurate with uncommon yeasts, including C. dubliniensis. Spectroscopic methods such as Fourier transformed-infrared spectroscopy offer potential advantages for the future. Overall, the advantages of rapid yeast identification methods include relative simplicity and low cost. For all rapid methods, meticulous, standardized multicenter comparisons are needed before tests are fully accepted.

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Year:  2001        PMID: 11270413     DOI: 10.1080/mmy.39.1.9.33

Source DB:  PubMed          Journal:  Med Mycol        ISSN: 1369-3786            Impact factor:   4.076


  52 in total

1.  The effect of cumulative length of hospital stay on the antifungal resistance of Candida strains isolated from critically ill surgical patients.

Authors:  Themistoklis K Kourkoumpetis; George C Velmahos; Panayiotis D Ziakas; Emmanouil Tampakakis; Dimitra Manolakaki; Jeffrey J Coleman; Eleftherios Mylonakis
Journal:  Mycopathologia       Date:  2010-10-08       Impact factor: 2.574

2.  Evaluation of matrix-assisted laser desorption ionization-time of flight mass spectrometry for identification of clinically important yeast species.

Authors:  Lindsay G Stevenson; Steven K Drake; Yvonne R Shea; Adrian M Zelazny; Patrick R Murray
Journal:  J Clin Microbiol       Date:  2010-07-28       Impact factor: 5.948

3.  Assessment of accuracy of identification of pathogenic yeasts in microbiology laboratories in the United kingdom.

Authors:  Andrew M Borman; Adrien Szekely; Michael D Palmer; Elizabeth M Johnson
Journal:  J Clin Microbiol       Date:  2012-05-30       Impact factor: 5.948

4.  Comparison of Vitek Matrix-assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry Versus Conventional Methods in Candida Identification.

Authors:  Sema Aşkın Keçeli; Devrim Dündar; Gülden Sönmez Tamer
Journal:  Mycopathologia       Date:  2015-09-23       Impact factor: 2.574

5.  Comparison of a new commercial test, GLABRATA RTT, with a dipstick test for rapid identification of Candida glabrata.

Authors:  Birgit Willinger; Susanne Wein; Alexander M Hirschl; Manfred L Rotter; Mammad Manafi
Journal:  J Clin Microbiol       Date:  2005-01       Impact factor: 5.948

6.  Rapid and accurate identification of Candida albicans isolates by use of PNA FISHFlow.

Authors:  Jan Trnovsky; William Merz; Phyllis Della-Latta; Fann Wu; Maiken Cavling Arendrup; Henrik Stender
Journal:  J Clin Microbiol       Date:  2008-02-20       Impact factor: 5.948

7.  Differentiation between atypical isolates of Candida lusitaniae and Candida pulcherrima by determination of mating type.

Authors:  Thierry Noël; Anne Favel; Annie Michel-Nguyen; Abdelhak Goumar; Karim Fallague; Christiane Chastin; Florence Leclerc; Jean Villard
Journal:  J Clin Microbiol       Date:  2005-03       Impact factor: 5.948

8.  Incidence of bloodstream infections due to Candida species and in vitro susceptibilities of isolates collected from 1998 to 2000 in a population-based active surveillance program.

Authors:  Rana A Hajjeh; Andre N Sofair; Lee H Harrison; G Marshall Lyon; Beth A Arthington-Skaggs; Sara A Mirza; Maureen Phelan; Juliette Morgan; Wendy Lee-Yang; Meral A Ciblak; Lynette E Benjamin; Laurie Thomson Sanza; Sharon Huie; Siew Fah Yeo; Mary E Brandt; David W Warnock
Journal:  J Clin Microbiol       Date:  2004-04       Impact factor: 5.948

9.  Molecular epidemiology of Candida albicans and its closely related yeasts Candida dubliniensis and Candida africana.

Authors:  Orazio Romeo; Giuseppe Criseo
Journal:  J Clin Microbiol       Date:  2008-11-05       Impact factor: 5.948

10.  Identification of Candida albicans and Candida glabrata within 1.5 hours directly from positive blood culture bottles with a shortened peptide nucleic acid fluorescence in situ hybridization protocol.

Authors:  Michael Gherna; William G Merz
Journal:  J Clin Microbiol       Date:  2008-11-05       Impact factor: 5.948

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