title: Evaluation of the Microbial Identification System for identification of clinically isolated yeasts.
abstract: The Microbial Identification System (MIS; Microbial ID, Inc., Newark, Del.) was evaluated for the identification of 550 clinically isolated yeasts. The organisms evaluated were fresh clinical isolates identified by methods routinely used in our laboratory (API 20C and conventional methods) and included Candida albicans (n = 294), C. glabrata (n = 145), C. tropicalis (n = 58), C. parapsilosis (n = 33), and other yeasts (n = 20). In preparation for fatty acid analysis, yeasts were inoculated onto Sabouraud dextrose agar and incubated at 28 degrees C for 24 h. Yeasts were harvested, saponified, derivatized, and extracted, and fatty acid analysis was performed according to the manufacturer's instructions. Fatty acid profiles were analyzed, and computer identifications were made with the Yeast Clinical Library (database version 3.8). Of the 550 isolates tested, 374 (68.0%) were correctly identified to the species level, with 87 (15.8%) being incorrectly identified and 89 (16.2%) giving no identification. Repeat testing of isolates giving no identification resulted in an additional 18 isolates being correctly identified. This gave the MIS an overall identification rate of 71.3%. The most frequently misidentified yeast was C. glabrata, which was identified as Saccharomyces cerevisiae 32.4% of the time. On the basis of these results, the MIS, with its current database, does not appear suitable for the routine identification of clinically important yeasts.
authors.affiliation: Department of Pathology, Polyclinic Medical Center, Harrisburg, Pennsylvania 17110, USA. microman@epix.net
authors.forename: A E
authors.initials: AE
authors.lastname: Crist
authors.forename: L M
authors.initials: LM
authors.lastname: Johnson
authors.forename: P J
authors.initials: PJ
authors.lastname: Burke
mesh_terms: D002175:Candida / Q000145:classification* / Q000302:isolation & purification; D016208:Databases, Factual; D016533:Mycological Typing Techniques