Milan E P, Malheiros E S, Fischman O, Colombo A L
Discipline of Infectious and Parasitic Diseases, Universidade Federal de São Paulo, Brazil.
Mycopathologia. 1997;137(3):153-7. doi: 10.1023/a:1006801616134.
In the last decade the number of systemic yeast infections has increased significantly. Although Candida albicans is the most frequently isolated yeast from clinical specimens, the emergence of non-albicans species has clearly been a recent concern. As a consequence, there is a greater need for rapid and accurate methods for yeast identification. The aim of this study was to evaluate the performance of the AUXACOLOR system (Sanofi Diagnostics Pasteur) for the identification of clinically relevant yeasts, as compared with the conventional method. Yeast isolates (n = 97) belonging to 12 species were identified by the commercial system and the classic method. Correct identifications were obtained by using AUXACOLOR system in 79.4% of the isolates tested. Misidentification occurred in 5.2% of the strains and 15.5% were not identified due to a failure in the manufacturer's data base. In order to improve its accuracy, there is a need for expanding the database or revamping the tests included in the system.
在过去十年中，全身性酵母菌感染的数量显著增加。虽然白色念珠菌是临床标本中最常分离出的酵母菌，但非白色念珠菌种类的出现显然已成为近期关注的问题。因此，对快速准确的酵母菌鉴定方法的需求更大。本研究的目的是与传统方法相比，评估AUXACOLOR系统（赛诺菲巴斯德诊断公司）对临床相关酵母菌的鉴定性能。通过商业系统和经典方法对属于12个种的97株酵母菌分离株进行了鉴定。使用AUXACOLOR系统在79.4%的测试分离株中获得了正确鉴定。5.2%的菌株出现错误鉴定，15.5%由于制造商数据库故障未被鉴定。为了提高其准确性，需要扩展数据库或改进系统中包含的测试。
