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Multicenter Evaluation of the BIOFIRE Blood Culture Identification 2 Panel for Detection of Bacteria, Yeasts, and Antimicrobial Resistance Genes in Positive Blood Culture Samples

Diagnostic tools that can rapidly identify and characterize microbes growing in blood cultures are important components of clinical microbiology practice because they help to provide timely information that can be used to optimize patient management. This publication describes the bioMérieux BIOFIRE...

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Autores principales: Rhoads, Daniel D., Pournaras, Spyros, Leber, Amy, Balada-Llasat, Joan-Miquel, Harrington, Amanda, Sambri, Vittorio, She, Rosemary, Berry, Gregory J., Daly, Judy, Good, Caryn, Tarpatzi, Aikaterini, Everhart, Kathy, Henry, Tai, McKinley, Kathleen, Zannoli, Silvia, Pak, Pil, Zhang, Fan, Barr, Rebecca, Holmberg, Kristen, Kensinger, Bart, Lu, Daisy Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10281132/
https://www.ncbi.nlm.nih.gov/pubmed/37227281
http://dx.doi.org/10.1128/jcm.01891-22
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author Rhoads, Daniel D.
Pournaras, Spyros
Leber, Amy
Balada-Llasat, Joan-Miquel
Harrington, Amanda
Sambri, Vittorio
She, Rosemary
Berry, Gregory J.
Daly, Judy
Good, Caryn
Tarpatzi, Aikaterini
Everhart, Kathy
Henry, Tai
McKinley, Kathleen
Zannoli, Silvia
Pak, Pil
Zhang, Fan
Barr, Rebecca
Holmberg, Kristen
Kensinger, Bart
Lu, Daisy Y.
author_facet Rhoads, Daniel D.
Pournaras, Spyros
Leber, Amy
Balada-Llasat, Joan-Miquel
Harrington, Amanda
Sambri, Vittorio
She, Rosemary
Berry, Gregory J.
Daly, Judy
Good, Caryn
Tarpatzi, Aikaterini
Everhart, Kathy
Henry, Tai
McKinley, Kathleen
Zannoli, Silvia
Pak, Pil
Zhang, Fan
Barr, Rebecca
Holmberg, Kristen
Kensinger, Bart
Lu, Daisy Y.
author_sort Rhoads, Daniel D.
collection PubMed
description Diagnostic tools that can rapidly identify and characterize microbes growing in blood cultures are important components of clinical microbiology practice because they help to provide timely information that can be used to optimize patient management. This publication describes the bioMérieux BIOFIRE Blood Culture Identification 2 (BCID2) Panel clinical study that was submitted to the U.S. Food & Drug Administration. Results obtained with the BIOFIRE BCID2 Panel were compared to standard-of-care (SoC) results, sequencing results, PCR results, and reference laboratory antimicrobial susceptibility testing results to evaluate the accuracy of its performance. Results for 1,093 retrospectively and prospectively collected positive blood culture samples were initially enrolled, and 1,074 samples met the study criteria and were included in the final analyses. The BIOFIRE BCID2 Panel demonstrated an overall sensitivity of 98.9% (1,712/1,731) and an overall specificity of 99.6% (33,592/33,711) for Gram-positive bacteria, Gram-negative bacteria and yeast targets which the panel is designed to detect. One hundred eighteen off-panel organisms, which the BIOFIRE BCID2 Panel is not designed to detect, were identified by SoC in 10.6% (114/1,074) of samples. The BIOFIRE BCID2 Panel also demonstrated an overall positive percent agreement (PPA) of 97.9% (325/332) and an overall negative percent agreement (NPA) of 99.9% (2,465/2,767) for antimicrobial resistance determinants which the panel is designed to detect. The presence or absence of resistance markers in Enterobacterales correlated closely with phenotypic susceptibility and resistance. We conclude that the BIOFIRE BCID2 Panel produced accurate results in this clinical trial.
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spelling pubmed-102811322023-06-21 Multicenter Evaluation of the BIOFIRE Blood Culture Identification 2 Panel for Detection of Bacteria, Yeasts, and Antimicrobial Resistance Genes in Positive Blood Culture Samples Rhoads, Daniel D. Pournaras, Spyros Leber, Amy Balada-Llasat, Joan-Miquel Harrington, Amanda Sambri, Vittorio She, Rosemary Berry, Gregory J. Daly, Judy Good, Caryn Tarpatzi, Aikaterini Everhart, Kathy Henry, Tai McKinley, Kathleen Zannoli, Silvia Pak, Pil Zhang, Fan Barr, Rebecca Holmberg, Kristen Kensinger, Bart Lu, Daisy Y. J Clin Microbiol Bacteriology Diagnostic tools that can rapidly identify and characterize microbes growing in blood cultures are important components of clinical microbiology practice because they help to provide timely information that can be used to optimize patient management. This publication describes the bioMérieux BIOFIRE Blood Culture Identification 2 (BCID2) Panel clinical study that was submitted to the U.S. Food & Drug Administration. Results obtained with the BIOFIRE BCID2 Panel were compared to standard-of-care (SoC) results, sequencing results, PCR results, and reference laboratory antimicrobial susceptibility testing results to evaluate the accuracy of its performance. Results for 1,093 retrospectively and prospectively collected positive blood culture samples were initially enrolled, and 1,074 samples met the study criteria and were included in the final analyses. The BIOFIRE BCID2 Panel demonstrated an overall sensitivity of 98.9% (1,712/1,731) and an overall specificity of 99.6% (33,592/33,711) for Gram-positive bacteria, Gram-negative bacteria and yeast targets which the panel is designed to detect. One hundred eighteen off-panel organisms, which the BIOFIRE BCID2 Panel is not designed to detect, were identified by SoC in 10.6% (114/1,074) of samples. The BIOFIRE BCID2 Panel also demonstrated an overall positive percent agreement (PPA) of 97.9% (325/332) and an overall negative percent agreement (NPA) of 99.9% (2,465/2,767) for antimicrobial resistance determinants which the panel is designed to detect. The presence or absence of resistance markers in Enterobacterales correlated closely with phenotypic susceptibility and resistance. We conclude that the BIOFIRE BCID2 Panel produced accurate results in this clinical trial. American Society for Microbiology 2023-05-25 /pmc/articles/PMC10281132/ /pubmed/37227281 http://dx.doi.org/10.1128/jcm.01891-22 Text en Copyright © 2023 Rhoads 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 Bacteriology
Rhoads, Daniel D.
Pournaras, Spyros
Leber, Amy
Balada-Llasat, Joan-Miquel
Harrington, Amanda
Sambri, Vittorio
She, Rosemary
Berry, Gregory J.
Daly, Judy
Good, Caryn
Tarpatzi, Aikaterini
Everhart, Kathy
Henry, Tai
McKinley, Kathleen
Zannoli, Silvia
Pak, Pil
Zhang, Fan
Barr, Rebecca
Holmberg, Kristen
Kensinger, Bart
Lu, Daisy Y.
Multicenter Evaluation of the BIOFIRE Blood Culture Identification 2 Panel for Detection of Bacteria, Yeasts, and Antimicrobial Resistance Genes in Positive Blood Culture Samples
title Multicenter Evaluation of the BIOFIRE Blood Culture Identification 2 Panel for Detection of Bacteria, Yeasts, and Antimicrobial Resistance Genes in Positive Blood Culture Samples
title_full Multicenter Evaluation of the BIOFIRE Blood Culture Identification 2 Panel for Detection of Bacteria, Yeasts, and Antimicrobial Resistance Genes in Positive Blood Culture Samples
title_fullStr Multicenter Evaluation of the BIOFIRE Blood Culture Identification 2 Panel for Detection of Bacteria, Yeasts, and Antimicrobial Resistance Genes in Positive Blood Culture Samples
title_full_unstemmed Multicenter Evaluation of the BIOFIRE Blood Culture Identification 2 Panel for Detection of Bacteria, Yeasts, and Antimicrobial Resistance Genes in Positive Blood Culture Samples
title_short Multicenter Evaluation of the BIOFIRE Blood Culture Identification 2 Panel for Detection of Bacteria, Yeasts, and Antimicrobial Resistance Genes in Positive Blood Culture Samples
title_sort multicenter evaluation of the biofire blood culture identification 2 panel for detection of bacteria, yeasts, and antimicrobial resistance genes in positive blood culture samples
topic Bacteriology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10281132/
https://www.ncbi.nlm.nih.gov/pubmed/37227281
http://dx.doi.org/10.1128/jcm.01891-22
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