Multicenter Evaluation of the Vitek MS v3.0 System for the Identification of Filamentous Fungi

• Published in: Journal of clinical microbiology 2018-02, Vol.56 (2)
• Main Authors: Rychert, Jenna, Slechta, E Sue, Barker, Adam P, Miranda, Edwin, Babady, N Esther, Tang, Yi-Wei, Gibas, Connie, Wiederhold, Nathan, Sutton, DeAnna, Hanson, Kimberly E
• Format: Article
• Language: English
• Subjects: Databases, Factual; Diagnostic Errors; Diagnostic Tests, Routine - methods; Fungi - chemistry; Fungi - classification; Fungi - isolation & purification; Humans; Invasive Fungal Infections - diagnosis; Invasive Fungal Infections - microbiology; Microbiological Techniques - methods; Mycology; Sequence Analysis, DNA; Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
• ISSN: 0095-1137; 1098-660X
• DOI: 10.1128/JCM.01353-17

Invasive fungal infections are an important cause of morbidity and mortality affecting primarily immunocompromised patients. While fungal identification to the species level is critical to providing appropriate therapy, it can be slow and laborious and often relies on subjective morphological criteria. The use of matrix-assisted laser desorption ionization-time of flight (MALDI-TOF) mass spectrometry has the potential to speed up and improve the accuracy of identification. In this multicenter study, we evaluated the accuracy of the Vitek MS v3.0 system in identifying 1,601 clinical mold isolates compared to identification by DNA sequence analysis and supported by morphological and phenotypic testing. Among the 1,519 isolates representing organisms in the v3.0 database, 91% ( = 1,387) were correctly identified to the species level. An additional 27 isolates (2%) were correctly identified to the genus level. Fifteen isolates were incorrectly identified, due to either a single incorrect identification ( = 13) or multiple identifications from different genera ( = 2). In those cases, when a single identification was provided that was not correct, the misidentification was within the same genus. The Vitek MS v3.0 was unable to identify 91 (6%) isolates, despite repeat testing. These isolates were distributed among all the genera. When considering all isolates tested, even those that were not represented in the database, the Vitek MS v3.0 provided a single correct identification 98% of the time. These findings demonstrate that the Vitek MS v3.0 system is highly accurate for the identification of common molds encountered in the clinical mycology laboratory.