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A side-by-side comparison of the performance and time-and-motion data of VITEK MS

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European Journal of Clinical Microbiology & Infectious Diseases Aims and scope Submit manuscript

Abstract

Matrix-assisted laser desorption ionization time-of-flight (MALDI-TOF) mass spectrometry systems are designed for rapid and reliable microbial identification. VITEK MS PRIME is the bioMérieux’s new generation instrument equipped with a continuous load-and-go sample loading system, urgent slide prioritization for critical patient samples and new internal components for faster identification. The aim of this study was to assess the performance of VITEK MS PRIME and to compare it to that of the VITEK MS system. In addition, at two sites, we performed a time-and-motion study to evaluate the efficiency of sample analysis from colony picking to slide removal from the instrument. We analyzed by VITEK MS and VITEK MS PRIME a total of 1413 isolates (1320 bacterial and 76 yeast) deriving from routine diagnostic samples that came into four laboratories in Canada, France, Italy, and Spain. VITEK MS PRIME and VITEK MS were concordant to the species and genus level for 1354/1413 (95.8%) and to the species level for 1341/1413 (94.9%). The identification and concordance rates in individual centers were largely homogenous. Overall, VITEK MS PRIME identified 1370/1413 (97.0%) of isolates compared to 1367/1413 (96.7%) identified by VITEK MS. Identification rates were consistently high for all microorganism categories. A time-and-motion study showed that the use of VITEK MS PRIME was associated with significant time saving. VITEK MS PRIME performs as well as VITEK MS and reduces the time necessary for pathogen identification. To fully optimize the laboratory process and obtain maximum efficiency, VITEK MS PRIME must be integrated into the laboratory workflow.

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References

  1. Maurer FP, Christner M, Hentschke M, Rohde H (2017) Advances in rapid identification and susceptibility testing of bacteria in the clinical microbiology laboratory: implications for patient care and antimicrobial stewardship programs. Infect Dis Rep 9(1):6839

    Article  Google Scholar 

  2. Franco-Duarte R, Cernakova L, Kadam S, Kaushik KS, Salehi B, Bevilacqua A, Corbo MR, Antolak H, Dybka-Stepien K, Leszczewicz M, RelisonTintino S, Alexandrino de Souza VC, Sharifi-Rad J, Coutinho HDM, Martins N, Rodrigues CF (2019) Advances in chemical and biological methods to identify microorganisms-from past to present. Microorganisms 7(5):130

    Article  CAS  Google Scholar 

  3. Shin DJ, Andini N, Hsieh K, Yang S, Wang TH (2019) Emerging analytical techniques for rapid pathogen identification and susceptibility testing. Annu Rev Anal Chem (Palo Alto Calif) 12(1):41–67

    Article  CAS  Google Scholar 

  4. Angeletti S (2017) Matrix assisted laser desorption time of flight mass spectrometry (MALDI-TOF MS) in clinical microbiology. J Microbiol Methods 138:20–29

    Article  CAS  Google Scholar 

  5. Kostrzewa M, Nagy E, Schrottner P, Pranada AB (2019) How MALDI-TOF mass spectrometry can aid the diagnosis of hard-to-identify pathogenic bacteria - the rare and the unknown. Expert Rev Mol Diagn 19(8):667–682

    Article  CAS  Google Scholar 

  6. Byun JH, Yu AR, Kim MS, Lee K (2018) Performance of microflex LT biotyper and VITEK MS for routine identification of yeasts. Ann Lab Med 38(5):487–489

    Article  Google Scholar 

  7. Fan WT, Qin TT, Bi RR, Kang HQ, Ma P, Gu B (2017) Performance of the matrix-assisted laser desorption ionization time-of-flight mass spectrometry system for rapid identification of streptococci: a review. Eur J Clin Microbiol Infect Dis 36(6):1005–1012

    Article  CAS  Google Scholar 

  8. Garner O, Mochon A, Branda J, Burnham CA, Bythrow M, Ferraro M, Ginocchio C, Jennemann R, Manji R, Procop GW, Richter S, Rychert J, Sercia L, Westblade L, Lewinski M (2014) Multi-center evaluation of mass spectrometric identification of anaerobic bacteria using the VITEK(R) MS system. Clin Microbiol Infect 20(4):335–339

    Article  CAS  Google Scholar 

  9. Lee W, Kim M, Yong D, Jeong SH, Lee K, Chong Y (2015) Evaluation of VITEK mass spectrometry (MS), a matrix-assisted laser desorption ionization time-of-flight MS system for identification of anaerobic bacteria. Ann Lab Med 35(1):69–75

    Article  CAS  Google Scholar 

  10. Plongla R, Panagea T, Pincus DH, Jones MC, Gilligan PH (2016) Identification of Burkholderia and uncommon glucose-nonfermenting gram-negative Bacilli isolated from patients with cystic fibrosis by use of matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS). J Clin Microbiol 54(12):3071–3072

    Article  Google Scholar 

  11. Porte L, Garcia P, Braun S, Ulloa MT, Lafourcade M, Montana A, Miranda C, Acosta-Jamett G, Weitzel T (2017) Head-to-head comparison of Microflex LT and Vitek MS systems for routine identification of microorganisms by MALDI-TOF mass spectrometry in Chile. PLoS ONE 12(5):e0177929

    Article  Google Scholar 

  12. Ulger Toprak N, Alida CMV, Urban E, Wybo I, Justesen US, Jean-Pierre H, Morris T, Akgul O, Kulekci G, Soyletir G, Nagy E, Infections ESGfA, (2018) Performance of mass spectrometric identification of clinical Prevotella species using the VITEK MS system: a prospective multi-center study. Anaerobe 54:205–209

    Article  CAS  Google Scholar 

  13. Wattal C, Oberoi JK, Goel N, Raveendran R, Khanna S (2017) Matrix-assisted laser desorption ionization time of flight mass spectrometry (MALDI-TOF MS) for rapid identification of microorganisms in the routine clinical microbiology laboratory. Eur J Clin Microbiol Infect Dis 36(5):807–812

    Article  CAS  Google Scholar 

  14. Hou TY, Chiang-Ni C, Teng SH (2019) Current status of MALDI-TOF mass spectrometry in clinical microbiology. J Food Drug Anal 27(2):404–414

    Article  CAS  Google Scholar 

  15. Dixon P, Davies P, Hollingworth W, Stoddart M, MacGowan A (2015) A systematic review of matrix-assisted laser desorption/ionisation time-of-flight mass spectrometry compared to routine microbiological methods for the time taken to identify microbial organisms from positive blood cultures. Eur J Clin Microbiol Infect Dis 34(5):863–876

    Article  CAS  Google Scholar 

  16. Deak E, Charlton CL, Bobenchik AM, Miller SA, Pollett S, McHardy IH, Wu MT, Garner OB (2015) Comparison of the Vitek MS and Bruker Microflex LT MALDI-TOF MS platforms for routine identification of commonly isolated bacteria and yeast in the clinical microbiology laboratory. Diagn Microbiol Infect Dis 81(1):27–33

    Article  CAS  Google Scholar 

Download references

Acknowledgements

The authors thank Alicja M. Gruszka of the TransPerfect Life Sciences for providing editorial support of this manuscript in accordance with Good Publication Practice (GPP3) guidelines.

Funding

The study was funded by the bioMérieux.

Author information

Author notes

  1. Marta Bardelli and Michela Padovani equally contributed to the work.

Authors and Affiliations

  1. Section of Microbiology, Department of Molecular and Translational Medicine, University of Brescia, UOC Microbiology and Virology ASST Spedali Civili Di Brescia, Brescia, Italy

    Marta Bardelli, Michela Padovani, Simona Fiorentini & Arnaldo Caruso

  2. Microbiology Department, Medical Microbiologist and Infectious Disease Physician, Hamilton Regional Laboratory Medicine Program, Hamilton, Canada

    Deborah Yamamura, Mark Gaskin & Ali Jissam

  3. Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Canada

    Deborah Yamamura

  4. Clinical Microbiology Department, Hospital Universitari Vall d’Hebron, Barcelona, Spain

    Juan José González-López, M. Nieves Larrosa & Tomàs Pumarola

  5. Microbiology and Genetics Department, Universitat Autònoma de Barcelona, Barcelona, Spain

    Juan José González-López, M. Nieves Larrosa & Tomàs Pumarola

  6. Biopath Laboratoires, Coquelles, France

    Anna Lassus, Barbara Louis & Nicolas Capron

Authors
  1. Marta Bardelli
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  2. Michela Padovani
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Contributions

MB acquired data and analyzed and interpreted the results. MP acquired data and analyzed and interpreted the results. SF designed the study and analyzed and interpreted the results. AC designed the study. DY acquired data and analyzed and interpreted the results. MG acquired data. AJ acquired data. JJG-L designed the study, acquired data, and analyzed and interpreted the results. MNL acquired data and analyzed and interpreted the results. JGL, NL analyzed and interpreted the results. AL acquired data and analyzed and interpreted the results. BL acquired data and analyzed and interpreted the results. NC designed the study. All authors supervised and approved the manuscript writing.

Corresponding author

Correspondence to Deborah Yamamura.

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Bardelli, M., Padovani, M., Fiorentini, S. et al. A side-by-side comparison of the performance and time-and-motion data of VITEK MS. Eur J Clin Microbiol Infect Dis 41, 1115–1125 (2022). https://doi.org/10.1007/s10096-022-04472-x

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  • DOI: https://doi.org/10.1007/s10096-022-04472-x

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