Comparative evaluation of three commercial identification systems using common and rare bloodstream yeast isolates |
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| Authors: | Meletiadis Joseph Arabatzis Michael Bompola Maria Tsiveriotis Konstantinos Hini Stavroula Petinaki Efthymia Velegraki Aristea Zerva Loukia |
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| Affiliation: | Clinical Microbiology Laboratory, Attikon University Hospital, Medical School, National and Kapodistrian University of Athens, Rimini 1, Haidari 124 62, Athens, Greece. jmeletiadis@med.uoa.gr |
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| Abstract: | The commercial yeast identification systems API ID32C, Auxacolor, and Vitek were evaluated using 251 molecularly identified bloodstream isolates and 2 reference strains, representing a total of 35 species (6 common and 29 rare). Correct identification rates were higher for common species (Auxacolor, 95%; API ID32C, 94%; Vitek, 92%) than for rare species (Auxacolor, 43%; API ID32C, 56%; Vitek, 64%). All systems performed equally among the former, and Vitek performed best among the latter. |
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