Clinical Microbiology Laboratory, Attikon University Hospital, Medical School, National and Kapodistrian University of Athens, Rimini 1, Haidari 124 62, Athens, Greece.
J Clin Microbiol. 2011 Jul;49(7):2722-7. doi: 10.1128/JCM.01253-10. Epub 2011 May 4.
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.
采用 251 株经分子鉴定的血流感染分离株和 2 株参考菌株（共 35 个种，6 个常见种和 29 个稀有种）对商业酵母鉴定系统 API ID32C、Auxacolor 和 Vitek 进行了评估。常见种的鉴定准确率较高（Auxacolor，95%；API ID32C，94%；Vitek，92%），稀有种的鉴定准确率较低（Auxacolor，43%；API ID32C，56%；Vitek，64%）。前一组中所有系统的性能相当，而在后一组中 Vitek 的性能最佳。
