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Multicenter evaluation of the Sherlock Mycobacteria Identification System for the identification of mycobacteria



Multicenter evaluation of the Sherlock Mycobacteria Identification System for the identification of mycobacteria



Abstracts of the General Meeting of the American Society for Microbiology 103: U-021



High-performance liquid chromatography of mycolic acids has been demonstrated by several laboratories to be an accurate method for mycobacteria identification. However, integration of this method into the mycobacteriology laboratory has been impeded by the lack of an accurate, completely automated system. The recently developed Sherlock(R) Mycobacteria Identification System, SMIS, (Midi Inc., Newark, DE) is a fluorescence detection HPLC instrument that incorporates system suitability, calibration, and pattern recognition software to achieve rapid and fully automated mycobacteria identification. In a multicenter study, we evaluated the performance of the SMIS to identify 316 isolates of mycobacteria grown on Middlebrook medium, representing 30 mycobacterial species. Each center analyzed an evaluation set of isolates that were representative of the isolates routinely identified at that center. The evaluation set was supplemented with reference strains of infrequently isolated mycobacterial species. Mycolic extracts were prepared and analyzed by the SMIS using the MYCOLC1 method and classified using the MYCAG1, Version 1.02 pattern library that contained 40 entries, representing 25 mycobacterial species or groups. Of the 316 total isolates analyzed by the SMIS, 269 (85.1%) were correctly identified, 44 (13.9%) were reported as inconclusive, and 3 (0.9%) were misidentified. Of the 98 Mycobacterium tuberculosis complex isolates analyzed by the SMIS, 96 (98.0%) were identified correctly, and 2 (2.0%) were reported as inconclusive. Of the 60 M. avium complex isolates analyzed by the SMIS, 56 (93.3%) isolates were identified correctly, and 4 (6.7%) were reported as inconclusive. The SMIS misidentified two isolates of M. kubicae and one isolate of M. gastri as M. tuberculosis complex, indicating a need to further refine the library. Overall, the SMIS was found to be easy to use, operationally reliable, and moderately to highly accurate for mycobacteria identification. The SMIS is a promising new tool for the mycobacteriology laboratory.

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Accession: 035349821

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