Comparison study of broth macrodilution and microdilution antifungal susceptibility tests.

An evaluation of broth dilution antifungal susceptibility tests was performed by determining both the micro- and macrodilution MICs of amphotericin B, flucytosine, fluconazole, ketoconazole, and cilofungin against 38 isolates of Candida albicans, Candida lusitaniae, Candida parapsilosis, Candida tropicalis, Cryptococcus neoformans, and Torulopsis glabrata. The following preliminary antifungal working group recommendations of the National Committee for Clinical Laboratory Standards for broth macrodilution tests with antifungal agents were used: inocula standardized to 1 x 10(4) to 5 x 10(4) CFU/ml with a spectrophotometer, RPMI 1640 medium buffered with morpholinopropanesulfonic acid (pH 7.0), incubation at 35 degrees C for 24 to 48 h, and an additive drug dilution procedure. Broth microdilution MICs were higher (two or more dilutions) than broth macrodilution MICs for all isolates tested with amphotericin B and for most isolates tested with ketoconazole, fluconazole, and cilofungin. MICs of flucytosine were the same by both techniques or lower by the broth microdilution test except in tests with C. neoformans. However, the only statistically significant differences between the two tests were observed with amphotericin B against all isolates (P = 0.01 to 0.07), ketoconazole against C. neoformans (P = 0.01 to 0.02), and cilofungin against C. albicans (P = 0.05 to 0.14). Tests performed with less dense inocula (1 x 10(3) to 5 x 10(3] produced similar results.

Evaluation of the API 20C yeast identification system for the differentiation of some dematiaceous fungi.

Ninety-seven isolates of Cladosporium spp., Exophiala spp., Fonsecaea spp., Lecythophora hoffmannii, Phaeoannellomyces werneckii, Phialophora spp., Wangiella dermatitidis, and Xylohypha bantiana were used to evaluate the API 20C Yeast Identification System for the differentiation of dematiaceous fungi. Using the API 20C system, we were able to distinguish most species of Phialophora and Cladosporium and to separate L. hoffmannii from the species of Phialophora tested; X. bantiana from C. carrionii, C. resinae, and C. sphaerospermum; and W. dermatitidis from Exophiala jeanselmei and Exophiala spinifera. Ninety-two (60.1%) of 153 possible species-pair combinations were separated.

Evaluation of proteolytic activity to differentiate some dematiaceous fungi.

A total of 123 isolates of Cladosporium spp., Exophiala spp., Fonsecaea spp., Lecythophora hoffmannii, Phaeoannellomyces werneckii, Phialophora spp., Wangiella dermatitidis, and Xylohypha bantiana were tested for proteolytic activity by using 26 different formulations of gelatin, milk, casein, and Loeffler media. Other physiological properties examined included hydrolysis of tyrosine and xanthine, sodium nitrate utilization in Czapek Dox agar, and thermotolerance. Isolates of Exophiala jeanselmei, Fonsecaea compacta, Fonsecaea pedrosoi, W. dermatitidis, and X. bantiana lacked proteolytic activity. Proteolytic activity was variable among the remaining species, depending on the type of medium used. Thermotolerance had value in distinguishing some taxa.

Evaluation of YeastIdent and Uni-Yeast-Tek yeast identification systems.

The accuracy of the new API YeastIdent system and the Flow Laboratories Uni-Yeast-Tek identification kit with an expanded data base was evaluated in comparison to the API 20C yeast identification system by three laboratories. A total of 489 test isolates were used, biased toward yeasts commonly encountered in clinical specimens. Isolates not in a system's data base were not counted in the evaluation of that system. For isolates in their data base, YeastIdent was 55% accurate and Uni-Yeast-Tek was 40% accurate. By the manufacturer's criteria of reliable identification without additional tests, both systems failed to identify many common and uncommon species. The limited number of substrates and difficulties in assessing results obtained with 11 of the API YeastIdent substrates and apparent errors in the expanded Uni-Yeast-Tek data base appeared to be major factors limiting the accuracy of these systems.