Prospective evaluation of the VITEK MS for the routine identification of bacteria and yeast in the clinical microbiology laboratory: assessment of accuracy of identification and turnaround time.
This study assessed the accuracy of bacterial and yeast identification using the VITEK MS, and the time to reporting of isolates before and after its implementation in routine clinical practice. Three hundred and sixty-two isolates of bacteria and yeast, consisting of a variety of clinical isolates and American Type Culture Collection strains, were tested. Results were compared with reference identifications from the VITEK 2 system and with 16S rRNA sequence analysis. The VITEK MS provided an acceptable identification to species level for 283 (78 %) isolates. Considering organisms for which genus-level identification is acceptable for routine clinical care, 315 isolates (87 %) had an acceptable identification. Six isolates (2 %) were identified incorrectly, five of which were Shigella species. Finally, the time for reporting the identifications was decreased significantly after implementation of the VITEK MS for a total mean reduction in time of 10.52 h (P<0.0001). Overall, accuracy of the VITEK MS was comparable or superior to that from the VITEK 2. The findings were also comparable to other studies examining the accuracy of the VITEK MS, although differences exist, depending on the diversity of species represented as well as on the versions of the databases used. The VITEK MS can be incorporated effectively into routine use in a clinical microbiology laboratory and future expansion of the database should provide improved accuracy for the identification of micro-organisms.
Department of Pathology, University of Chicago Medicine, 5841 S. Maryland Avenue, Chicago, IL 60637, USA.
Angella
A
Charnot-Katsikas
Department of Pathology, University of Chicago Medicine, 5841 S. Maryland Avenue, Chicago, IL 60637, USA.
Vera
V
Tesic
Department of Pathology, University of Chicago Medicine, 5841 S. Maryland Avenue, Chicago, IL 60637, USA.
Sue
S
Boonlayangoor
Department of Pathology, University of Chicago Medicine, 5841 S. Maryland Avenue, Chicago, IL 60637, USA.
Cindy
C
Bethel
Department of Pathology, University of Chicago Medicine, 5841 S. Maryland Avenue, Chicago, IL 60637, USA.
Karen M
KM
Frank
D001419:Bacteria / Q000737:chemistry / Q000145:classification / Q000302:isolation & purification*; D001424:Bacterial Infections / Q000175:diagnosis / Q000382:microbiology*; D003951:Diagnostic Errors / Q000706:statistics & numerical data; D008828:Microbiological Techniques / Q000379:methods*; D009181:Mycoses / Q000175:diagnosis / Q000382:microbiology*; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / Q000379:methods*; D013997:Time Factors; D015003:Yeasts / Q000737:chemistry / Q000145:classification / Q000302:isolation & purification*