title: Comparative evaluation of three commercial identification systems using common and rare bloodstream yeast isolates.
abstract: 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.
authors.affiliation: Clinical Microbiology Laboratory, Attikon University Hospital, Medical School, National and Kapodistrian University of Athens, Rimini 1, Haidari 124 62, Athens, Greece. jmeletiadis@med.uoa.gr
authors.forename: Joseph
authors.initials: J
authors.lastname: Meletiadis
authors.forename: Michael
authors.initials: M
authors.lastname: Arabatzis
authors.forename: Maria
authors.initials: M
authors.lastname: Bompola
authors.forename: Konstantinos
authors.initials: K
authors.lastname: Tsiveriotis
authors.forename: Stavroula
authors.initials: S
authors.lastname: Hini
authors.forename: Efthymia
authors.initials: E
authors.lastname: Petinaki
authors.forename: Aristea
authors.initials: A
authors.lastname: Velegraki
authors.forename: Loukia
authors.initials: L
authors.lastname: Zerva
mesh_terms: D001769:Blood / Q000382:microbiology; D016469:Fungemia / Q000175:diagnosis* / Q000382:microbiology*; D006801:Humans; D008828:Microbiological Techniques / Q000379:methods*; D009172:Mycology / Q000379:methods*; D012680:Sensitivity and Specificity; D015003:Yeasts / Q000145:classification* / Q000302:isolation & purification*