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Evaluation of the updated Vitek yeast identification data base.
M el-Zaatari1, L Pasarell, M R McGinnis
1Department of Pathology, University of Texas Medical Branch, Galveston 77550.
Journal of Clinical Microbiology
|September 1, 1990
Summary
The Vitek yeast identification system, with an expanded database, showed comparable efficacy to the API 20C system for identifying clinical yeast isolates. Minor discrepancies were noted in both yeast identification methods.
Area of Science:
- Medical Mycology
- Clinical Microbiology
- Diagnostic Laboratory Science
Background:
- Accurate identification of yeast and yeast-like fungi is crucial for effective clinical management.
- Existing identification systems require continuous evaluation and database expansion to maintain accuracy.
Purpose of the Study:
- To compare the performance of the API 20C yeast identification system against a modified Vitek yeast identification system with an expanded database.
- To assess the accuracy and identify discrepancies in yeast identification between the two systems.
Main Methods:
- A total of 398 yeast and yeast-like fungal isolates were analyzed.
- Comparative analysis using the API 20C system and the modified Vitek system with an expanded database.
- Identification discrepancies were documented and categorized.
Main Results:
- Eleven discrepancies were observed between the two identification systems.
- Five isolates had biocodes not present in the expanded Vitek database (1.3%).
- Six isolates were misidentified by the Vitek system (1.5%), including common clinical species.
Conclusions:
- The modified Vitek yeast identification system demonstrates favorable efficacy compared to the API 20C system.
- The expanded Vitek database improved identification accuracy, though further refinement may be needed.
- Both systems are valuable tools for identifying clinically significant yeasts, with Vitek showing a slight advantage.