Literature DB >> 1939587

Evaluation of the MicroScan Rapid Yeast Identification panel.

G St Germain1, D Beauchesne.   

Abstract

The MicroScan Rapid Yeast Identification (RYI) panel is a 4-h microdilution system for identification of clinical yeastlike isolates. Its accuracy was evaluated by using 357 isolates encompassing 11 genera and 30 species. The RYI panel identifications were compared with those obtained by the API 20C system assisted with morphological characterization on cornmeal-Tween 80 agar. The panels were read both visually and with the AutoScan-4, a computer-controlled microplate reader. Both the RYI panel and the API 20C system correctly identified 78% of the strains within 4 and 72 h, respectively, with no additional tests. Supplementary tests recommended by the manufacturers made it possible to identify up to 96.6% (AutoScan-4) and 98.9% (API 20C) of the strains. The accuracy of the RYI panel was 99.5% with common strains and 92.1% with less common strains. The RYI panel misidentified 10 or 12 strains and failed to identify 2 or 3 strains, depending on whether it was read with the AutoScan-4 or visually. Errors occurred with one strain of Torulopsis glabrata and the less common yeasts T. candida, Candida lusitaniae, C. lambica, C. rugosa, C. stellatoidea, Cryptococcus albidus, C. laurentii, and C. uniguttulatus. Overall, the RYI panel appears to be a reliable system for identification of the more common clinical yeast isolates.

Entities:  

Mesh:

Year:  1991        PMID: 1939587      PMCID: PMC270316          DOI: 10.1128/jcm.29.10.2296-2299.1991

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


  10 in total

1.  Accuracy and reproducibility of the MicroScan rapid anaerobe identification system with an automated reader.

Authors:  L Stoakes; T Kelly; K Manarin; B Schieven; R Lannigan; D Groves; Z Hussain
Journal:  J Clin Microbiol       Date:  1990-06       Impact factor: 5.948

2.  Evaluation of the modified API 20C system for identification of clinically important yeasts.

Authors:  W J Buesching; K Kurek; G D Roberts
Journal:  J Clin Microbiol       Date:  1979-05       Impact factor: 5.948

3.  Evaluation of the updated Vitek yeast identification data base.

Authors:  M el-Zaatari; L Pasarell; M R McGinnis; J Buckner; G A Land; I F Salkin
Journal:  J Clin Microbiol       Date:  1990-09       Impact factor: 5.948

4.  Rapid detection of yeast enzymes by using 4-methylumbelliferyl substrates.

Authors:  D G Bobey; G M Ederer
Journal:  J Clin Microbiol       Date:  1981-02       Impact factor: 5.948

5.  Comparison of the Quantum II, API Yeast Ident, and AutoMicrobic systems for identification of clinical yeast isolates.

Authors:  M A Pfaller; T Preston; M Bale; F P Koontz; B A Body
Journal:  J Clin Microbiol       Date:  1988-10       Impact factor: 5.948

6.  Evaluation of the Baxter-MicroScan 4-hour enzyme-based yeast identification system.

Authors:  G A Land; I F Salkin; M el-Zaatari; M R McGinnis; G Hashem
Journal:  J Clin Microbiol       Date:  1991-04       Impact factor: 5.948

7.  Evaluation of the new API 20C strip for yeast identification against a conventional method.

Authors:  G A Land; B A Harrison; K L Hulme; B H Cooper; J C Byrd
Journal:  J Clin Microbiol       Date:  1979-09       Impact factor: 5.948

8.  Evaluation of the "Yeast-IDENT System" for the identification of medically important yeasts.

Authors:  A S Sekhon; A A Padhye; A K Garg; A H Gowa
Journal:  Mycoses       Date:  1988-12       Impact factor: 4.377

9.  Contribution to the study of the enzymatic profiles of yeast organisms with medical interest.

Authors:  M Casal; M J Linares
Journal:  Mycopathologia       Date:  1983-03-22       Impact factor: 2.574

10.  Evaluation of YeastIdent and Uni-Yeast-Tek yeast identification systems.

Authors:  I F Salkin; G A Land; N J Hurd; P R Goldson; M R McGinnis
Journal:  J Clin Microbiol       Date:  1987-04       Impact factor: 5.948

  10 in total
  15 in total

1.  Simple strategy for direct identification of medically important yeast species from positive blood culture vials.

Authors:  D C Sheppard; P René; A D Harris; M A Miller; M Laverdière; E deSouza; H G Robson
Journal:  J Clin Microbiol       Date:  1999-06       Impact factor: 5.948

Review 2.  Automated systems for identification of microorganisms.

Authors:  C E Stager; J R Davis
Journal:  Clin Microbiol Rev       Date:  1992-07       Impact factor: 26.132

3.  Efficacy of API 20C and ID 32C systems for identification of common and rare clinical yeast isolates.

Authors:  R Ramani; S Gromadzki; D H Pincus; I F Salkin; V Chaturvedi
Journal:  J Clin Microbiol       Date:  1998-11       Impact factor: 5.948

4.  Ability of RapID Yeast Plus System to identify 304 clinically significant yeasts within 5 hours.

Authors:  T T Kitch; M R Jacobs; M R McGinnis; P C Appelbaum
Journal:  J Clin Microbiol       Date:  1996-05       Impact factor: 5.948

5.  Comparative performance of the RapID Yeast Plus System and the API 20C AUX Clinical Yeast System.

Authors:  M B Smith; D Dunklee; H Vu; G L Woods
Journal:  J Clin Microbiol       Date:  1999-08       Impact factor: 5.948

6.  Comparison of RapID yeast plus system with API 20C system for identification of common, new, and emerging yeast pathogens.

Authors:  A Espinel-Ingroff; L Stockman; G Roberts; D Pincus; J Pollack; J Marler
Journal:  J Clin Microbiol       Date:  1998-04       Impact factor: 5.948

Review 7.  Current knowledge of Trichosporon spp. and Trichosporonosis.

Authors:  Arnaldo L Colombo; Ana Carolina B Padovan; Guilherme M Chaves
Journal:  Clin Microbiol Rev       Date:  2011-10       Impact factor: 26.132

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.  Experience with the MicroSeq D2 large-subunit ribosomal DNA sequencing kit for identification of commonly encountered, clinically important yeast species.

Authors:  Leslie Hall; Sherri Wohlfiel; Glenn D Roberts
Journal:  J Clin Microbiol       Date:  2003-11       Impact factor: 5.948

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