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Erschienen in: European Journal of Clinical Microbiology & Infectious Diseases 2/2021

17.08.2020 | Brief Report

Rapid identification of fungi from respiratory samples by Bruker Biotyper matrix–assisted laser desorption/ionisation time-of-flight using ID-FUNGI plates

verfasst von: Emilie Cardot Martin, Claudine Renaux, Emilie Catherinot, Lucie Limousin, Louis Jean Couderc, Marc Vasse

Erschienen in: European Journal of Clinical Microbiology & Infectious Diseases | Ausgabe 2/2021

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Abstract

Identification of moulds is crucial for the clinical management of patients. The goal of this study was to evaluate the new ID-FUNGI plate (IDFP) for the identification of moulds by MALDI Biotyper. IDFP was compared with Sabouraud with gentamicin and chloramphenicol plate (SAB) for the identification of 80 moulds from respiratory samples and eight reference strains. With the direct transfer method, species identification rose from 6% with SAB to 68% with IDFP using score cut-off 2 and from 20 to 75% using cut-off 1.7 (p < 0.001). Our study highlights that the new IDFP improves mycological diagnostic and workflow in laboratories.
Literatur
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Zurück zum Zitat Wayne PA: Clinical and Laboratory (2008) Reference method for broth dilution antifungal susceptibility testing of filamentous fungi; approved standard—second edition. CLSI document M38-A2. Second Edition Wayne PA: Clinical and Laboratory (2008) Reference method for broth dilution antifungal susceptibility testing of filamentous fungi; approved standard—second edition. CLSI document M38-A2. Second Edition
Metadaten
Titel
Rapid identification of fungi from respiratory samples by Bruker Biotyper matrix–assisted laser desorption/ionisation time-of-flight using ID-FUNGI plates
verfasst von
Emilie Cardot Martin
Claudine Renaux
Emilie Catherinot
Lucie Limousin
Louis Jean Couderc
Marc Vasse
Publikationsdatum
17.08.2020
Verlag
Springer Berlin Heidelberg
Erschienen in
European Journal of Clinical Microbiology & Infectious Diseases / Ausgabe 2/2021
Print ISSN: 0934-9723
Elektronische ISSN: 1435-4373
DOI
https://doi.org/10.1007/s10096-020-04007-2

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