scholarly journals Evaluation of VITEK 2 and RapID Yeast Plus Systems for Yeast Species Identification: Experience at a Large Clinical Microbiology Laboratory

2007 ◽  
Vol 45 (4) ◽  
pp. 1343-1346 ◽  
Author(s):  
M. Sanguinetti ◽  
R. Porta ◽  
M. Sali ◽  
M. La Sorda ◽  
G. Pecorini ◽  
...  
Author(s):  
Svetlana A. Gordeeva ◽  
A.Yu. Zolotarev ◽  
M.G. Movsisyan ◽  
A.V. Rozinko

Objective. Assessment of bacterial identification effectiveness in clinical microbiology laboratory using the MALDI-MS based system BactoSCREEN. Materials and Methods. Bacteriological testing was done by the cultivation on Сolumbia agar with 5% of sheep blood (at 37°C for 24 hours). Colonies for identification were selected based on their growth pattern, type of hemolysis, morphology and consistency. The species identification was done by the MALDI-MS using the microbiology analyzer BactoSCREEN. Apart from MALDI-MS, we used morphology and biochemical methods for species identification when necessary. Serological tests were used for serovar and biovar identifications. Results. A total of 85945 bacterial identifications was performed in 2018. When compared to 2017, the throughput of the laboratory increased ten times. A total of 23252 isolates were obtained in the previously mentioned period. A single identification took 2.98–13.22 minutes including time for supporting procedures, whereas the staff time for one identification itself constituted an average of 1.55 minutes. When compared to manual methods, introduction of mass-spectrometry allowed us to achieve 3.5-fold decrease of the staff time in the average. Therefore, annual labor saving in terms of staffing corresponds to 11 full-time positions. Conclusions. In view of high throughput, analysis speed, simplicity and low cost of sample preparation, MALDI-MS identification fits well into the practice of clinical microbiology laboratory, especially when large-scale screening studies of bacterial cultures are required. The use of MALDI-MS is likely to be most promising when carrying out microbiological monitoring that is traditionally associated with large number of samples and wide range of microorganisms detected.


2014 ◽  
Vol 63 (2) ◽  
pp. 235-241 ◽  
Author(s):  
Angella Charnot-Katsikas ◽  
Vera Tesic ◽  
Sue Boonlayangoor ◽  
Cindy Bethel ◽  
Karen M. Frank

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.


2020 ◽  
Vol 7 (7) ◽  
pp. A336-340
Author(s):  
Hena Butta ◽  
Leena Mendiratta ◽  
Raman Sardana ◽  
Kirti Gilotra ◽  
Sana Hasan ◽  
...  

Background: Susceptibility testing for polymyxins is a great challenge for a Clinical Microbiology laboratory. There are several methodological issues associated with MIC (Minimum Inhibitory Concentration) determination of colistin. Methods: In our study, we have compared the results of colistin susceptibility testing by Automated system (Vitek-2, Biomerieux, France) with the reference Broth Microdilution method (BMD) to identify the type of discrepancies by Vitek-2 method and thus develop a practical and accurate approach for colistin susceptibility testing in a Clinical Microbiology laboratory. A total of 730 strains of Gram negative bacteria [Escherichia coli (325), Klebsiella sp.(346), Acinetobacter baumanii complex (37) and Pseudomonas aeruginosa (22)] from 485 patents were tested simultaneously by BMD and Vitek-2 method for colistin susceptibility testing. Results: The Essential agreement (EA), Categorical agreement (CA), Very major error (VME) and Major error (ME) rates for Klebsiella sp. were 87.3%, 89.3%, 8% and 2.3% respectively, for Escherichia coli were 88.3%, 89.5%, 9.2% and 1.2%  respectively, for Acinetobacter baumannii complex were 89.1%, 91.8%, 8.1% and 0% respectively, for Pseudomonas aeruginosa were 68.1%, 72.7%, 0% and 27.2% respectively. Conclusions: Colistin susceptibility testing by Vitek-2 method is an easily adoptable method and the results of Vitek-2 with reference to BMD are acceptable to a great extent in Klebsiella sp., Escherichia coli and Acinetobacter baumanii complex. So, we believe that Vitek-2 method may be used for colistin susceptibility testing in low risk patients. However, BMD should be used in high risk immunosupressed and immunocompromised patients who are admitted in critical care units. For Pseudomonas aeruginosa, BMD should be routinely used.


Author(s):  
Kami D Kies ◽  
Amber S Thomas ◽  
Matthew J Binnicker ◽  
Kelli L Bashynski ◽  
Robin Patel

Abstract Enteroviral meningitis is seasonal, typically exhibiting a rise in prevalence in late summer/early fall. Based on clinical microbiology laboratory testing data of cerebrospinal fluid, the expected August/September/October peak in enteroviral meningitis did not occur in 2020, possibly related to COVID-19 mitigation strategies.


Pathology ◽  
2020 ◽  
Vol 52 (7) ◽  
pp. 754-759 ◽  
Author(s):  
Eloise Williams ◽  
Katherine Bond ◽  
Brian Chong ◽  
Dawn Giltrap ◽  
Malcolm Eaton ◽  
...  

2016 ◽  
Vol 54 (6) ◽  
pp. 1416-1417 ◽  
Author(s):  
Richard B. Thomson

The Gram stain is one of the most commonly performed tests in the clinical microbiology laboratory, yet it is poorly controlled and lacks standardization. It was once the best rapid test in microbiology, but it is no longer trusted by many clinicians. The publication by Samuel et al. (J. Clin. Microbiol. 54:1442–1447, 2016,http://dx.doi.org/10.1128/JCM.03066-15) is a start for those who want to evaluate and improve Gram stain performance. In an age of emerging rapid molecular results, is the Gram stain still relevant? How should clinical microbiologists respond to the call to reduce Gram stain error rates?


2011 ◽  
Vol 49 (6) ◽  
pp. 2293-2295 ◽  
Author(s):  
Alejandro Sánchez-Chardi ◽  
Francesc Olivares ◽  
Thomas F. Byrd ◽  
Esther Julián ◽  
Cecilia Brambilla ◽  
...  

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