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Multicenter Evaluation of the FilmArray Blood Culture Identification 2 Panel for Pathogen Detection in Bloodstream Infections

The FilmArray Blood Culture Identification 2 panel (BCID2; bioMérieux) is a fully automated PCR-based assay for identifying bacteria, fungi, and bacterial resistance markers in positive blood cultures (BC) in about 1 h. In this multicenter study, we evaluated the performance of the BCID2 panel for p...

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Autores principales: Caméléna, François, Péan de Ponfilly, Gauthier, Pailhoriès, Hélène, Bonzon, Lucas, Alanio, Alexandre, Poncin, Thibaut, Lafaurie, Matthieu, Dépret, François, Cambau, Emmanuel, Godreuil, Sylvain, Chenouard, Rachel, Le Monnier, Alban, Jacquier, Hervé, Berçot, Béatrice
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9927563/
https://www.ncbi.nlm.nih.gov/pubmed/36519852
http://dx.doi.org/10.1128/spectrum.02547-22
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author Caméléna, François
Péan de Ponfilly, Gauthier
Pailhoriès, Hélène
Bonzon, Lucas
Alanio, Alexandre
Poncin, Thibaut
Lafaurie, Matthieu
Dépret, François
Cambau, Emmanuel
Godreuil, Sylvain
Chenouard, Rachel
Le Monnier, Alban
Jacquier, Hervé
Berçot, Béatrice
author_facet Caméléna, François
Péan de Ponfilly, Gauthier
Pailhoriès, Hélène
Bonzon, Lucas
Alanio, Alexandre
Poncin, Thibaut
Lafaurie, Matthieu
Dépret, François
Cambau, Emmanuel
Godreuil, Sylvain
Chenouard, Rachel
Le Monnier, Alban
Jacquier, Hervé
Berçot, Béatrice
author_sort Caméléna, François
collection PubMed
description The FilmArray Blood Culture Identification 2 panel (BCID2; bioMérieux) is a fully automated PCR-based assay for identifying bacteria, fungi, and bacterial resistance markers in positive blood cultures (BC) in about 1 h. In this multicenter study, we evaluated the performance of the BCID2 panel for pathogen detection in positive BC. Conventional culture and BCID2 were performed in parallel at four tertiary-care hospitals. We included 152 positive BC—130 monomicrobial and 22 polymicrobial cultures—in this analysis. The BCID2 assay correctly identified 90% (88/98) of Gram-negative and 89% (70/79) of Gram-positive bacteria. Five bacterial isolates targeted by the BCID2 panel and recovered from five positive BC, including three polymicrobial cultures, were missed by the BCID2 assay. Fifteen isolates were off-panel organisms, accounting for 8% (15/182) of the isolates obtained from BC. The mean positive percent agreement between the BCID2 assay and standard culture was 97% (95% confidence interval, 95 to 99%), with agreement ranging from 67% for Candida albicans to 100% for 17 targets included in the BCID2 panel. BCID2 also identified the bla(CTX-M) gene in seven BC, including one for which no extended-spectrum β-lactamase (ESBL)-producing isolate was obtained in culture. However, it failed to detect ESBL-encoding genes in three BC. Two of the 18 mecA/C genes detected by the BCID2 were not confirmed. No carbapenemase, mecA/C, or MREJ targets were detected. The median turnaround time was significantly shorter for BCID2 than for culture. The BCID2 panel may facilitate faster pathogen identification in bloodstream infections. IMPORTANCE Rapid molecular diagnosis combining the identification of pathogens and the detection of antibiotic resistance genes from positive blood cultures (BC) can improve the outcome for patients with bloodstream infections. The FilmArray BCID2 panel, an updated version of the original BCID, can detect 11 Gram-positive bacteria, 15 Gram-negative bacteria, 7 fungal pathogens, and 10 antimicrobial resistance genes directly from a positive BC. Here, we evaluated the real-life microbiological performance of the BCID2 assay in comparison to the results of standard methods used in routine practice at four tertiary care hospitals.
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spelling pubmed-99275632023-02-15 Multicenter Evaluation of the FilmArray Blood Culture Identification 2 Panel for Pathogen Detection in Bloodstream Infections Caméléna, François Péan de Ponfilly, Gauthier Pailhoriès, Hélène Bonzon, Lucas Alanio, Alexandre Poncin, Thibaut Lafaurie, Matthieu Dépret, François Cambau, Emmanuel Godreuil, Sylvain Chenouard, Rachel Le Monnier, Alban Jacquier, Hervé Berçot, Béatrice Microbiol Spectr Research Article The FilmArray Blood Culture Identification 2 panel (BCID2; bioMérieux) is a fully automated PCR-based assay for identifying bacteria, fungi, and bacterial resistance markers in positive blood cultures (BC) in about 1 h. In this multicenter study, we evaluated the performance of the BCID2 panel for pathogen detection in positive BC. Conventional culture and BCID2 were performed in parallel at four tertiary-care hospitals. We included 152 positive BC—130 monomicrobial and 22 polymicrobial cultures—in this analysis. The BCID2 assay correctly identified 90% (88/98) of Gram-negative and 89% (70/79) of Gram-positive bacteria. Five bacterial isolates targeted by the BCID2 panel and recovered from five positive BC, including three polymicrobial cultures, were missed by the BCID2 assay. Fifteen isolates were off-panel organisms, accounting for 8% (15/182) of the isolates obtained from BC. The mean positive percent agreement between the BCID2 assay and standard culture was 97% (95% confidence interval, 95 to 99%), with agreement ranging from 67% for Candida albicans to 100% for 17 targets included in the BCID2 panel. BCID2 also identified the bla(CTX-M) gene in seven BC, including one for which no extended-spectrum β-lactamase (ESBL)-producing isolate was obtained in culture. However, it failed to detect ESBL-encoding genes in three BC. Two of the 18 mecA/C genes detected by the BCID2 were not confirmed. No carbapenemase, mecA/C, or MREJ targets were detected. The median turnaround time was significantly shorter for BCID2 than for culture. The BCID2 panel may facilitate faster pathogen identification in bloodstream infections. IMPORTANCE Rapid molecular diagnosis combining the identification of pathogens and the detection of antibiotic resistance genes from positive blood cultures (BC) can improve the outcome for patients with bloodstream infections. The FilmArray BCID2 panel, an updated version of the original BCID, can detect 11 Gram-positive bacteria, 15 Gram-negative bacteria, 7 fungal pathogens, and 10 antimicrobial resistance genes directly from a positive BC. Here, we evaluated the real-life microbiological performance of the BCID2 assay in comparison to the results of standard methods used in routine practice at four tertiary care hospitals. American Society for Microbiology 2022-12-15 /pmc/articles/PMC9927563/ /pubmed/36519852 http://dx.doi.org/10.1128/spectrum.02547-22 Text en Copyright © 2022 Caméléna et al. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Article
Caméléna, François
Péan de Ponfilly, Gauthier
Pailhoriès, Hélène
Bonzon, Lucas
Alanio, Alexandre
Poncin, Thibaut
Lafaurie, Matthieu
Dépret, François
Cambau, Emmanuel
Godreuil, Sylvain
Chenouard, Rachel
Le Monnier, Alban
Jacquier, Hervé
Berçot, Béatrice
Multicenter Evaluation of the FilmArray Blood Culture Identification 2 Panel for Pathogen Detection in Bloodstream Infections
title Multicenter Evaluation of the FilmArray Blood Culture Identification 2 Panel for Pathogen Detection in Bloodstream Infections
title_full Multicenter Evaluation of the FilmArray Blood Culture Identification 2 Panel for Pathogen Detection in Bloodstream Infections
title_fullStr Multicenter Evaluation of the FilmArray Blood Culture Identification 2 Panel for Pathogen Detection in Bloodstream Infections
title_full_unstemmed Multicenter Evaluation of the FilmArray Blood Culture Identification 2 Panel for Pathogen Detection in Bloodstream Infections
title_short Multicenter Evaluation of the FilmArray Blood Culture Identification 2 Panel for Pathogen Detection in Bloodstream Infections
title_sort multicenter evaluation of the filmarray blood culture identification 2 panel for pathogen detection in bloodstream infections
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9927563/
https://www.ncbi.nlm.nih.gov/pubmed/36519852
http://dx.doi.org/10.1128/spectrum.02547-22
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