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Journal of Clinical Microbiology, May 1998, p. 1197-1200, Vol. 36, No. 5
0095-1137/98/$04.00+0
Copyright © 1998, American Society for Microbiology. All rights reserved.

Limitations of the Current Microbial Identification System for Identification of Clinical Yeast Isolates

James A. Kellogg,1,* David A. Bankert,1 and Vishnu Chaturvedi2

Clinical Microbiology Laboratory, York Hospital, York, Pennsylvania 17405,1 and Laboratories for Mycology, Axelrod Institute, Wadsworth Center, New York State Department of Health, Albany, New York 12208-20022

Received 11 December 1997/Returned for modification 17 January 1998/Accepted 5 February 1998

The ability of the rapid, computerized Microbial Identification System (MIS; Microbial ID, Inc.) to identify a variety of clinical isolates of yeast species was compared to the abilities of a combination of tests including the Yeast Biochemical Card (bioMerieux Vitek), determination of microscopic morphology on cornmeal agar with Tween 80, and when necessary, conventional biochemical tests and/or the API 20C Aux system (bioMerieux Vitek) to identify the same yeast isolates. The MIS chromatographically analyzes cellular fatty acids and compares the results with the fatty acid profiles in its database. Yeast isolates were subcultured onto Sabouraud dextrose agar and were incubated at 28°C for 24 h. The resulting colonies were saponified, methylated, extracted, and chromatographically analyzed (by version 3.8 of the MIS YSTCLN database) according to the manufacturer's instructions. Of 477 isolates of 23 species tested, 448 (94%) were given species names by the MIS and 29 (6%) were unidentified (specified as "no match" by the MIS). Of the 448 isolates given names by the MIS, only 335 (75%) of the identifications were correct to the species level. While the MIS correctly identified only 102 (82%) of 124 isolates of Candida glabrata, the predictive value of an MIS identification of unknown isolates as C. glabrata was 100% (102 of 102) because no isolates of other species were misidentified as C. glabrata. In contrast, while the MIS correctly identified 100% (15 of 15) of the isolates of Saccharomyces cerevisiae, the predictive value of an MIS identification of unknown isolates as S. cerevisiae was only 47% (15 of 32), because 17 isolates of C. glabrata were misidentified as S. cerevisiae. The low predictive values for accuracy associated with MIS identifications for most of the remaining yeast species indicate that the procedure and/or database for the system need to be improved.

* Corresponding author. Mailing address: Clinical Microbiology Laboratory, York Hospital, 1001 S. George St., York, PA 17405. Phone: (717) 851-2393. Fax: (717) 851-2707. E-mail: jkellogg{at}yorkhospital.edu.

Journal of Clinical Microbiology, May 1998, p. 1197-1200, Vol. 36, No. 5
0095-1137/98/$04.00+0
Copyright © 1998, American Society for Microbiology. All rights reserved.


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