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

被引:62
作者
Rychert, Jenna [1 ]
Slechta, E. Sue [1 ]
Barker, Adam P. [2 ]
Miranda, Edwin [3 ]
Babady, N. Esther [3 ]
Tang, Yi-Wei [3 ,5 ]
Gibas, Connie [4 ]
Wiederhold, Nathan [4 ]
Sutton, DeAnna [4 ]
Hanson, Kimberly E. [2 ]
机构
[1] ARUP Labs, Salt Lake City, UT 84108 USA
[2] Univ Utah, Salt Lake City, UT USA
[3] Mem Sloan Kettering Canc Ctr, 1275 York Ave, New York, NY 10021 USA
[4] Univ Texas Hlth Sci Ctr San Antonio, San Antonio, TX 78229 USA
[5] Cornell Univ, Weill Med Coll, New York, NY 10021 USA
关键词
filamentous fungi; fungi; MALDI-TOF; mass spectrometry; mold; Vitek MS; DESORPTION IONIZATION-TIME; TOF MASS-SPECTROMETRY; SPECIES IDENTIFICATION; CLINICAL DERMATOPHYTE; MOLDS; ENTEROBACTERIACEAE; ASPERGILLUS; MUCORALES; FUSARIUM; BIOTYPER;
D O I
10.1128/JCM.01353-17
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
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% (n = 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 (n = 13) or multiple identifications from different genera (n = 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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页数:11
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