Literature DB >> 3182994

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

M A Pfaller1, T Preston, M Bale, F P Koontz, B A Body.   

Abstract

The Quantum II Yeast Identification System (Abbott Laboratories) is a microprocessor-based spectrophotometric system for identification of clinical yeast isolates within 24 h. We compared the Quantum II system with the API Yeast Ident (Analytab Products) and the AutoMicrobic System Yeast Biochemical Card (AMS-YBC; Vitek Systems, Inc.) for the identification of 221 clinical yeast isolates, including 120 common clinical isolates (Candida albicans, C. tropicalis, C. parapsilosis, Torulopsis glabrata, and Cryptococcus neoformans) and 101 relatively uncommon clinical isolates. The API 20C (Analytab) was used as the reference system. The Quantum II and AMS-YBC systems correctly identified 181 (82%) and 184 (83%) isolates, respectively, whereas the Yeast Ident system correctly identified 132 (60%) isolates. Of the 120 common clinical isolates, 113 (94%) were correctly identified by Quantum II, 103 (86%) were correctly identified by AMS-YBC, and 83 (69%) were correctly identified by Yeast Ident. Of the 101 uncommon clinical isolates tested, 68 (67%) were correctly identified by Quantum II, 81 (80%) were correctly identified by AMS-YBC, and 49 (49%) were correctly identified by Yeast Ident. The overall accuracy of the Quantum II, AMS-YBC, and API Yeast Ident was not sufficient to recommend any of these systems for routine use in the clinical microbiology laboratory without substantial expansion of the respective data bases.

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Year:  1988        PMID: 3182994      PMCID: PMC266815          DOI: 10.1128/jcm.26.10.2054-2058.1988

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


  24 in total

1.  Risk factors for candidemia in cancer patients: a case-control study.

Authors:  A Karabinis; C Hill; B Leclercq; C Tancrède; D Baume; A Andremont
Journal:  J Clin Microbiol       Date:  1988-03       Impact factor: 5.948

Review 2.  Automated methods for detection of bacteriuria.

Authors:  M T Pezzlo
Journal:  Am J Med       Date:  1983-07-28       Impact factor: 4.965

3.  Automated methods in microbiology: II. Identification and susceptibility testing.

Authors:  P J Malloy; B G Miceika; M J Ducate
Journal:  Am J Med Technol       Date:  1983-05

4.  Evaluation of the AutoMicrobic system for identification of yeasts.

Authors:  J J Hasyn; H R Buckley
Journal:  J Clin Microbiol       Date:  1982-11       Impact factor: 5.948

5.  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

6.  Sensitivity, specificity, and reproducibility of the automicrobic system (with the Enterobacteriaceae-plus biochemical card) for identifying clinical isolates of Gram- negative bacilli.

Authors:  A L Barry; T L Gavan; R E Badal; M J Telenson
Journal:  J Clin Microbiol       Date:  1982-04       Impact factor: 5.948

7.  An outbreak of Candida parapsilosis bloodstream infections in patients receiving parenteral nutrition.

Authors:  S L Solomon; R F Khabbaz; R H Parker; R L Anderson; M A Geraghty; R M Furman; W J Martone
Journal:  J Infect Dis       Date:  1984-01       Impact factor: 5.226

8.  Clinical evaluation of the AutoMicrobic system Yeast Biochemical Card for rapid identification of medically important yeasts.

Authors:  D L Oblack; J C Rhodes; W J Martin
Journal:  J Clin Microbiol       Date:  1981-02       Impact factor: 5.948

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.  Further modifications of the auxanographic method for identification of yeasts.

Authors:  P A Mickelsen; L R McCarthy; M A Propst
Journal:  J Clin Microbiol       Date:  1977-03       Impact factor: 5.948

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  19 in total

Review 1.  Automated systems for identification of microorganisms.

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

2.  Comparison of the autoSCAN-W/A rapid bacterial identification system and the Vitek AutoMicrobic system for identification of gram-negative bacilli.

Authors:  M A Pfaller; D Sahm; C O'Hara; C Ciaglia; M Yu; N Yamane; G Scharnweber; D Rhoden
Journal:  J Clin Microbiol       Date:  1991-07       Impact factor: 5.948

3.  Multicenter evaluation of Microring YT, a new method of yeast identification.

Authors:  G S Shankland; V Hopwood; R A Forster; E G Evans; M D Richardson; D W Warnock
Journal:  J Clin Microbiol       Date:  1990-12       Impact factor: 5.948

4.  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

5.  Limitations of the current microbial identification system for identification of clinical yeast isolates.

Authors:  J A Kellogg; D A Bankert; V Chaturvedi
Journal:  J Clin Microbiol       Date:  1998-05       Impact factor: 5.948

6.  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

7.  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

8.  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

9.  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

10.  Evaluation of Gen-Probe's Histoplasma capsulatum and Cryptococcus neoformans AccuProbes.

Authors:  K E Huffnagle; R M Gander
Journal:  J Clin Microbiol       Date:  1993-02       Impact factor: 5.948

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