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.
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http://dx.doi.org/10.1128/JCM.01353-17 | DOI Listing |
J Glob Antimicrob Resist
June 2020
Department of Microbiology, CMC Vellore, Vellore, Tamil Nadu, India.
PLoS One
April 2018
Division of Microbiology, Dept. of pathology and laboratory medicine, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan.
Background: Rapid identification of mycobacteria is important for timely treatment and the implementation of public health measures. The MGIT system ensures rapid detection of mycobacteria, but identification is usually delayed by days to weeks due to further subculture on solid medium. Matrix-assisted laser desorption time-of-flight mass spectrometry (MALDI-TOF MS) was demonstrated to effectively identify mycobacteria isolates subcultured from solid or liquid media.
View Article and Find Full Text PDFInfect Drug Resist
December 2017
Department of Clinical Laboratory, The First Affiliated Hospital of Anhui Medical University, Anhui, Hefei, People's Republic of China.
Fast and accurate discrimination of is significant, since misidentification may lead to inappropriate clinical therapy. This study assessed VITEK mass spectrometry (MS) V3.0 for identification using extracted fungal ribosomal proteins.
View Article and Find Full Text PDFJ Clin Microbiol
July 2015
University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA UNC Health Care, Chapel Hill, North Carolina, USA
We determined that the Vitek MS Plus matrix-assisted laser desorption ionization-time of flight mass spectrometry using research-use-only (RUO) v.4.12 and in vitro-diagnostic (IVD) v.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!