Literature DB >> 33837878

Multicenter evaluation of the VITEK MS matrix-assisted laser desorption/ionization-time of flight mass spectrometry system for identification of bacteria, including Brucella, and yeasts.

Victoria Girard1, Valérie Monnin2, Delphine Giraud2, Sophie Polsinelli2, Marion Caillé2,3, Gary W Procop4, Marion Tuohy4, Deborah Wilson4, Sandra S Richter4,5, Katalin Kiss6, Kimberly Clem6, Nicholas Tolli6, Laurence Bridon7, Constance Bradford8, Sara Blamey8, Jay Li9, David H Pincus10.   

Abstract

The use of matrix-assisted laser desorption ionization-time of flight (MALDI-TOF) mass spectrometry has proven to be rapid and accurate for the majority of clinical isolates. Some gaps remain concerning rare, emerging, or highly pathogenic species, showing the need to continuously expand the databases. In this multicenter study, we evaluated the accuracy of the VITEK MS v3.2 database in identifying 1172 unique isolates compared to identification by DNA sequence analysis. A total of 93.6% of the isolates were identified to species or group/complex level. A remaining 5.2% of the isolates were identified to the genus level. Forty tests gave a result of no identification (0.9%) and 12 tests (0.3%) gave a discordant identification compared to the reference identification. VITEK MS is also the first MALDI-TOF MS system that is able to delineate the four members of the Acinetobacter baumannii complex at species level without any specific protocol or special analysis method. These findings demonstrate that the VITEK MS v3.2 database is highly accurate for the identification of bacteria and fungi encountered in the clinical laboratory as well as emerging species like Candida auris and the highly pathogenic Brucella species.
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Brucella; Emerging pathogens; MALDI-TOF; Mass spectrometry; VITEK MS

Year:  2021        PMID: 33837878     DOI: 10.1007/s10096-021-04242-1

Source DB:  PubMed          Journal:  Eur J Clin Microbiol Infect Dis        ISSN: 0934-9723            Impact factor:   3.267


  22 in total

1.  Multicenter validation of the VITEK MS v2.0 MALDI-TOF mass spectrometry system for the identification of fastidious gram-negative bacteria.

Authors:  John A Branda; Jenna Rychert; Carey-Ann D Burnham; Maureen Bythrow; Omai B Garner; Christine C Ginocchio; Rebecca Jennemann; Michael A Lewinski; Ryhana Manji; A Brian Mochon; Gary W Procop; Sandra S Richter; Linda F Sercia; Lars F Westblade; Mary Jane Ferraro
Journal:  Diagn Microbiol Infect Dis       Date:  2013-12-08       Impact factor: 2.803

2.  Multi-center evaluation of the VITEK® MS system for mass spectrometric identification of non-Enterobacteriaceae Gram-negative bacilli.

Authors:  R Manji; M Bythrow; J A Branda; C-A D Burnham; M J Ferraro; O B Garner; R Jennemann; M A Lewinski; A B Mochon; G W Procop; S S Richter; J A Rychert; L Sercia; L F Westblade; C C Ginocchio
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2013-09-10       Impact factor: 3.267

3.  Multicenter study evaluating the Vitek MS system for identification of medically important yeasts.

Authors:  Lars F Westblade; Rebecca Jennemann; John A Branda; Maureen Bythrow; Mary Jane Ferraro; Omai B Garner; Christine C Ginocchio; Michael A Lewinski; Ryhana Manji; A Brian Mochon; Gary W Procop; Sandra S Richter; Jenna A Rychert; Linda Sercia; Carey-Ann D Burnham
Journal:  J Clin Microbiol       Date:  2013-05-08       Impact factor: 5.948

4.  An update on the routine application of MALDI-TOF MS in clinical microbiology.

Authors:  Martin Welker; Alex Van Belkum; Victoria Girard; Jean-Philippe Charrier; David Pincus
Journal:  Expert Rev Proteomics       Date:  2019-07-31       Impact factor: 3.940

5.  Multicenter evaluation of the Vitek MS matrix-assisted laser desorption ionization-time of flight mass spectrometry system for identification of Gram-positive aerobic bacteria.

Authors:  Jenna Rychert; Carey-Ann D Burnham; Maureen Bythrow; Omai B Garner; Christine C Ginocchio; Rebecca Jennemann; Michael A Lewinski; Ryhana Manji; A Brian Mochon; Gary W Procop; Sandra S Richter; Linda Sercia; Lars F Westblade; Mary Jane Ferraro; John A Branda
Journal:  J Clin Microbiol       Date:  2013-05-08       Impact factor: 5.948

Review 6.  Mini review: New pathogen profiles: Elizabethkingia anophelis.

Authors:  J Michael Janda; Denise L Lopez
Journal:  Diagn Microbiol Infect Dis       Date:  2017-03-16       Impact factor: 2.803

7.  Identification of Enterobacteriaceae by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry using the VITEK MS system.

Authors:  S S Richter; L Sercia; J A Branda; C-A D Burnham; M Bythrow; M J Ferraro; O B Garner; C C Ginocchio; R Jennemann; M A Lewinski; R Manji; A B Mochon; J A Rychert; L F Westblade; G W Procop
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2013-07-02       Impact factor: 3.267

8.  Multi-centre evaluation of mass spectrometric identification of anaerobic bacteria using the VITEK® MS system.

Authors:  O Garner; A Mochon; J Branda; C-A Burnham; M Bythrow; M Ferraro; C Ginocchio; R Jennemann; R Manji; G W Procop; S Richter; J Rychert; L Sercia; L Westblade; M Lewinski
Journal:  Clin Microbiol Infect       Date:  2013-08-09       Impact factor: 8.067

9.  Emerging Multidrug-Resistant Candida duobushaemulonii Infections in Panama Hospitals: Importance of Laboratory Surveillance and Accurate Identification.

Authors:  Ruben Ramos; Diego H Caceres; Marilyn Perez; Nicole Garcia; Wendy Castillo; Erika Santiago; Jovanna Borace; Shawn R Lockhart; Elizabeth L Berkow; Lizbeth Hayer; Andres Espinosa-Bode; Jose Moreno; Brendan R Jackson; Jackeline Moran; Tom Chiller; Gloriela de Villarreal; Nestor Sosa; Snigdha Vallabhaneni
Journal:  J Clin Microbiol       Date:  2018-06-25       Impact factor: 5.948

Review 10.  Klebsiella variicola: an emerging pathogen in humans.

Authors:  Nadia Rodríguez-Medina; Humberto Barrios-Camacho; Josefina Duran-Bedolla; Ulises Garza-Ramos
Journal:  Emerg Microbes Infect       Date:  2019       Impact factor: 7.163

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