Literature DB >> 9774605

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

R Ramani1, S Gromadzki, D H Pincus, I F Salkin, V Chaturvedi.   

Abstract

The abilities of the API 20C and ID 32C yeast identification systems to identify 123 common and 120 rare clinical yeast isolates were compared. API 20C facilitated correct identification of 97% common and 88% rare isolates while ID 32C facilitated correct identification of 92% common and 85% rare isolates.

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Mesh：

Year:  1998        PMID： 9774605      PMCID： PMC105341     

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


  15 in total

1.  Comparison of the new API Candida system to the ID 32C system for identification of clinically important yeast species.

Authors:  H Fricker-Hidalgo; O Vandapel; M A Duchesne; M A Mazoyer; D Monget; B Lardy; B Lebeau; J Freney; P Ambroise-Thomas; R Grillot
Journal:  J Clin Microbiol       Date:  1996-07       Impact factor: 5.948

2.  Increase in Candida krusei infection among patients with bone marrow transplantation and neutropenia treated prophylactically with fluconazole.

Authors:  J R Wingard; W G Merz; M G Rinaldi; T R Johnson; J E Karp; R Saral
Journal:  N Engl J Med       Date:  1991-10-31       Impact factor: 91.245

3.  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

4.  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

5.  Secular trends in nosocomial primary bloodstream infections in the United States, 1980-1989. National Nosocomial Infections Surveillance System.

Authors:  S N Banerjee; T G Emori; D H Culver; R P Gaynes; W R Jarvis; T Horan; J R Edwards; J Tolson; T Henderson; W J Martone
Journal:  Am J Med       Date:  1991-09-16       Impact factor: 4.965

6.  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

Review 7.  Conventional and rapid methods for yeast identification.

Authors:  C C Lin; D Y Fung
Journal:  Crit Rev Microbiol       Date:  1987       Impact factor: 7.624

Review 8.  Emergence of a new opportunistic pathogen, Candida lusitaniae.

Authors:  R J Blinkhorn; D Adelstein; P J Spagnuolo
Journal:  J Clin Microbiol       Date:  1989-02       Impact factor: 5.948

Review 9.  Fungal infections in the immunocompromised host.

Authors:  D K Stein; A M Sugar
Journal:  Diagn Microbiol Infect Dis       Date:  1989 Jul-Aug       Impact factor: 2.803

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
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  32 in total

1.  Identification of medically important yeasts using PCR-based detection of DNA sequence polymorphisms in the internal transcribed spacer 2 region of the rRNA genes.

Authors:  Y C Chen; J D Eisner; M M Kattar; S L Rassoulian-Barrett; K LaFe; S L Yarfitz; A P Limaye; B T Cookson
Journal:  J Clin Microbiol       Date:  2000-06       Impact factor: 5.948

2.  Comparison of API20C with molecular identification of Candida spp isolated from bloodstream infections.

Authors:  J Xu; B C Millar; J E Moore; R McClurg; M J Walker; J Evans; S Hedderwick; R McMullan
Journal:  J Clin Pathol       Date:  2002-10       Impact factor: 3.411

3.  In vitro susceptibility of a large collection of Candida Strains against fluconazole and voriconazole by using the CLSI disk diffusion assay.

Authors:  Ana Carolina Azevedo; Fernando César Bizerra; Daniel Arquimedes da Matta; Leila Paula de Almeida; Robert Rosas; Arnaldo Lopes Colombo
Journal:  Mycopathologia       Date:  2010-12-23       Impact factor: 2.574

4.  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

5.  Evaluation of Pyrosequencing technology for the identification of clinically relevant non-dematiaceous yeasts and related species.

Authors:  C I Montero; Y R Shea; P A Jones; S M Harrington; N E Tooke; F G Witebsky; P R Murray
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2008-04-18       Impact factor: 3.267

Review 6.  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

7.  Molecular identification of veterinary yeast isolates by use of sequence-based analysis of the D1/D2 region of the large ribosomal subunit.

Authors:  Cherilyn D Garner; Jennifer K Starr; Patrick L McDonough; Craig Altier
Journal:  J Clin Microbiol       Date:  2010-04-14       Impact factor: 5.948

8.  Prototheca wickerhamii mimicking yeast: a cautionary tale.

Authors:  B McMullan; K Muthiah; D Stark; L Lee; D Marriott
Journal:  J Clin Microbiol       Date:  2011-06-08       Impact factor: 5.948

9.  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

10.  Advances in identification of clinical yeast isolates by use of matrix-assisted laser desorption ionization-time of flight mass spectrometry.

Authors:  Blake W Buchan; Nathan A Ledeboer
Journal:  J Clin Microbiol       Date:  2013-02-20       Impact factor: 5.948
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