Literature DB >> 7490311

Evaluation of the AUXACOLOR system, a new method of clinical yeast identification.

K G Davey1, P M Chant, C S Downer, C K Campbell, D W Warnock.   

Abstract

AIMS: To compare the AUXACOLOR yeast identification system with the API 20C system.
METHODS: Yeast isolates (n = 215), comprising 16 species, were identified using the AUXACOLOR system and the API 20C system. Isolates that could not be identified with the API 20C system or which produced discrepant results in the two systems were identified by assimilation and fermentation procedures.
RESULTS: AUXACOLOR correctly identified 150 (85.7%) of 175 germ tube negative isolates while API 20C identified 155 (88.6%). Incorrect identifications were more common with API 20C (7.4%) than with AUXACOLOR (3.7%). Of 110 isolates of four common pathogens (Candida glabrata, C parapsilosis, C tropicalis, and Cryptococcus neoformans), 82.7% (91/110) were identified by AUXACOLOR while API 20C identified 74.5% (82/110). Of 65 less common germ tube negative isolates, 55.4% (36/65) were identified by AUXACOLOR while API 20C identified 63.1% (41/65).
CONCLUSION: Although it has a limited database of 26 species, the AUXACOLOR system is a useful method for identification of germ tube negative clinical yeast isolates. Compared with the API 20C, the AUXACOLOR system is simpler and quicker to set up, easier to interpret, and comparable in cost.

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Year:  1995        PMID: 7490311      PMCID: PMC502866          DOI: 10.1136/jcp.48.9.807

Source DB:  PubMed          Journal:  J Clin Pathol        ISSN: 0021-9746            Impact factor:   3.411


  9 in total

1.  Rapid identification of Candida albicans by filamentation on serum and serum substitutes.

Authors:  C L TASCHDJIAN; J J BURCHALL; P J KOZINN
Journal:  AMA J Dis Child       Date:  1960-02

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.  Evaluation of the MicroScan Rapid Yeast Identification panel.

Authors:  G St Germain; D Beauchesne
Journal:  J Clin Microbiol       Date:  1991-10       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 Abbott Quantum II yeast identification system.

Authors:  I F Salkin; K H Schadow; L A Bankaitis; M R McGinnis; M E Kemna
Journal:  J Clin Microbiol       Date:  1985-09       Impact factor: 5.948

7.  Comparison of updated Vitek Yeast Biochemical Card and API 20C yeast identification systems.

Authors:  J P Fenn; H Segal; B Barland; D Denton; J Whisenant; H Chun; K Christofferson; L Hamilton; K Carroll
Journal:  J Clin Microbiol       Date:  1994-05       Impact factor: 5.948

8.  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

9.  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

  9 in total
  9 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

2.  Molecular identification of unusual pathogenic yeast isolates by large ribosomal subunit gene sequencing: 2 years of experience at the United kingdom mycology reference laboratory.

Authors:  Christopher J Linton; Andrew M Borman; Grace Cheung; Ann D Holmes; Adrien Szekely; Michael D Palmer; Paul D Bridge; Colin K Campbell; Elizabeth M Johnson
Journal:  J Clin Microbiol       Date:  2007-01-24       Impact factor: 5.948

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

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.

Authors:  Brunella Posteraro; Ljupcho Efremov; Emanuele Leoncini; Rosarita Amore; Patrizia Posteraro; Walter Ricciardi; Maurizio Sanguinetti
Journal:  J Clin Microbiol       Date:  2015-05-20       Impact factor: 5.948

5.  Comparative study of seven commercial yeast identification systems.

Authors:  P E Verweij; I M Breuker; A J Rijs; J F Meis
Journal:  J Clin Pathol       Date:  1999-04       Impact factor: 3.411

6.  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

Review 7.  Advances in Candida detection platforms for clinical and point-of-care applications.

Authors:  Mohammadali Safavieh; Chad Coarsey; Nwadiuto Esiobu; Adnan Memic; Jatin Mahesh Vyas; Hadi Shafiee; Waseem Asghar
Journal:  Crit Rev Biotechnol       Date:  2016-04-19       Impact factor: 8.429

8.  Candida nivariensis, an emerging pathogenic fungus with multidrug resistance to antifungal agents.

Authors:  Andrew M Borman; Rebecca Petch; Christopher J Linton; Michael D Palmer; Paul D Bridge; Elizabeth M Johnson
Journal:  J Clin Microbiol       Date:  2008-01-16       Impact factor: 5.948

9.  Evaluation of the auxacolor system for biochemical identification of medically important yeasts.

Authors:  D C Sheppard; E deSouza; Z Hashmi; H G Robson; P René
Journal:  J Clin Microbiol       Date:  1998-12       Impact factor: 5.948

  9 in total

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