Please use this identifier to cite or link to this item: http://sgc.anlis.gob.ar/handle/123456789/1320
Title: Utility of platforms Viteks MS and Microflex LT for the identification of complex clinical isolates that require molecular methods for their taxonomic classification
Authors: Rocca, María Florencia 
Barrios, Rubén 
Zintgraff, Jonathan 
Martínez, Claudia 
Irazu, Lucía 
Vay, Carlos 
Prieto, Mónica A. 
Keywords: Espectrometría de Masas;Microbiología
Issue Date: 3-Jul-2019
Publisher: Yes
Journal: Plos one 
Abstract: 
Mass spectrometry has revolutionized the clinical microbiology field in America's and Europe's industrialized countries, for being a fast, reliable and inexpensive technique. Our study is based on the comparison of the performance of two commercial platforms, Microflex LT (Bruker Daltonics, Bremen, Germany) and Vitek MS (bioMérieux, Marcy l´Etoile, France) for the identification of unusual and hard-to-diagnose microorganisms in a Reference Laboratory in Argentina. During a four-month period (February-May 2018) the diagnostic efficiency and the concordance between both systems were assessed, and the results were compared with the polyphasic taxonomic identification of all isolates. The study included 265 isolates: 77 Gram-Negative Bacilli, 33 Gram-Positive Cocci, 40 Anaerobes, 35 Actinomycetales, 19 Fastidious Microorganisms and 61 Gram-Positive Bacilli. All procedures were practiced according to the manufacturer's recommendations in each case by duplicate, and strictly in parallel. Other relevant factors, such as the utility of the recommended extraction protocols, reagent stability and connectivity were also evaluated. Both systems correctly identified the majority of the isolates to species and complex level (82%, 217/265). Vitex MS achieved a higher number of correct species-level identifications between the gram-positive microorganisms; however, it presented greater difficulty in the identification of non-fermenting bacilli and a higher number of incorrect identifications when the profile of the microorganism was not represented in the commercial database. Both platforms showed an excellent performance on the identification of anaerobic bacteria and fastidious species. Both systems enabled the fast and reliable identification of most of the tested isolates and were shown to be very practical for the user.
Description: 
Fil: Rocca, María Florencia. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Infecciosas. Departamento de Bacteriología. Servicio de Bacteriología Especial; Argentina.

Fil: Barrios, Rubén. Laboratorio de Bacteriología, Hospital Italiano de Buenos Aires, Ciudad Autónoma de Buenos Aires; Argentina.

Fil: Zintgraff, Jonathan. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Infecciosas. Departamento de Bacteriología. Servicio de Bacteriología Clínica; Argentina.

Fil: Martínez, Claudia. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Infecciosas. Departamento de Bacteriología. Servicio de Bacteriología Especial; Argentina.

Fil: Irazu, Lucía. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Infecciosas; Argentina.

Fil: Vay, Carlos. Instituto de Fisiopatología y Bioquímica Clínica, Hospital de Clínicas José de San Martín, Facultad de Farmacia y Bioquímica, Ciudad Autónoma de Buenos Aires; Argentina.

Fil: Prieto, Mónica A. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Infecciosas. Departamento de Bacteriología. Servicio de Bacteriología Especial; Argentina.
URI: http://sgc.anlis.gob.ar/handle/123456789/1320
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0218077
Rights: Creative Commons Attribution 4.0 International License
Appears in Collections:Publicaciones INEI

Files in This Item:
File Description SizeFormat
10.1371_journal.pone.0218077..pdfArtículo en inglés730.12 kBAdobe PDFView/Open
Show full item record

Page view(s)

58
checked on Apr 23, 2024

Download(s)

4
checked on Apr 23, 2024

Google ScholarTM

Check

Altmetric

Altmetric


This item is licensed under a Creative Commons License Creative Commons