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640. Analytical Validation of the BioFire(®) Bone and Joint Infection (BJI) Panel for the Identification of Bacteria, Yeast, and Antimicrobial Resistance Genes from Synovial Fluid
BACKGROUND: The BioFire Bone and Joint Infection (BJI) Panel is a sample-to-answer test for the qualitative detection of nearly 40 different bacteria, yeast, and antimicrobial resistance (AMR) genes in synovial fluid (SF). The panel aims to improve on current culture-based diagnostics, particularly...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7777967/ http://dx.doi.org/10.1093/ofid/ofaa439.834 |
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author | Francis, Nicholas Barbier, Laurence Dubost, Caroline Billet, Elodie Manwaring, Joel Southwick, Josh Dawson, Tyson Gann, Jess Ekins, Kevin Arce, Jennifer Flaherty, Briana Durand, Harmonie Cantrell, Chris Amiott, Elizabeth |
author_facet | Francis, Nicholas Barbier, Laurence Dubost, Caroline Billet, Elodie Manwaring, Joel Southwick, Josh Dawson, Tyson Gann, Jess Ekins, Kevin Arce, Jennifer Flaherty, Briana Durand, Harmonie Cantrell, Chris Amiott, Elizabeth |
author_sort | Francis, Nicholas |
collection | PubMed |
description | BACKGROUND: The BioFire Bone and Joint Infection (BJI) Panel is a sample-to-answer test for the qualitative detection of nearly 40 different bacteria, yeast, and antimicrobial resistance (AMR) genes in synovial fluid (SF). The panel aims to improve on current culture-based diagnostics, particularly for detection of anaerobes (e.g. Finegoldia magna, Kingella kingae, Cutibacterium, Anaerococcus and Peptoniphilus species, and others) in about an hour. Analytical performance of the panel (Limit of Detection (LoD), analytical reactivity and specificity, interference, reproducibility), and specimen storage conditions are described. METHODS: LoD for each analyte was estimated from serial dilutions and confirmed at the lowest titer with ≥95% detection. A collection of >350 isolates representing genetic and geographic diversity of analytes was tested near LoD to assess analytical reactivity, and more than 420 near-neighbor, commensal, pathogenic, or environmental off-panel species were evaluated for assay specificity. Reproducibility was evaluated in a multi-laboratory multi-variable study, and the impact of storage and potentially interfering substances on the accuracy of test results was also assessed. Testing was performed with Investigational Use Only kits. RESULTS: The confirmed LoD for bacteria and yeast ranged from 100 - 10,000 CFU/mL. Sequence analysis and testing demonstrated clinically appropriate specificity and reactivity with a variety of isolates and different AMR gene types. Accurate and reproducible organism and AMR gene detection was observed with repeated testing of samples over several days (99.9% agreement with the expected results), and detection was not affected by potentially interfering substances nor by refrigerated sample storage. CONCLUSION: The BioFire BJI Panel is a robust, accurate, and easy-to-use multiplex PCR test capable of detecting many aerobic and anaerobic bacteria, yeast, and AMR genes in synovial fluid specimens. Rapid and reliable molecular detection of possible BJI pathogens may advance the diagnosis and effective management of bone and joint infections. NOTE: This panel has not been evaluated by the FDA or other regulatory agencies for diagnostic use. DISCLOSURES: Nicholas Francis, n/a, BioFire Diagnostics (Employee) Laurence Barbier, n/a, Biomerieux (Employee) Caroline Dubost, n/a, Biomerieux (Employee) Elodie Billet, n/a, Biomerieux (Employee) Joel Manwaring, n/a, BioFire Diagnostics (Employee) Josh Southwick, n/a, BioFire Diagnostics (Employee) Tyson Dawson, n/a, BioFire Diagnostics (Employee) Jess Gann, n/a, BioFire Diagnostics (Employee) Kevin Ekins, n/a, BioFire Diagnostics (Employee) Jennifer Arce, MS, BioFire Diagnostics/BioMerieux (Employee) Briana Flaherty, n/a, BioFire Diagnostics (Employee) Harmonie Durand, n/a, Biomerieux (Employee) Chris Cantrell, n/a, Biomerieux (Employee) Elizabeth Amiott, n/a, BioFire Diagnostics (Employee) |
format | Online Article Text |
id | pubmed-7777967 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-77779672021-01-07 640. Analytical Validation of the BioFire(®) Bone and Joint Infection (BJI) Panel for the Identification of Bacteria, Yeast, and Antimicrobial Resistance Genes from Synovial Fluid Francis, Nicholas Barbier, Laurence Dubost, Caroline Billet, Elodie Manwaring, Joel Southwick, Josh Dawson, Tyson Gann, Jess Ekins, Kevin Arce, Jennifer Flaherty, Briana Durand, Harmonie Cantrell, Chris Amiott, Elizabeth Open Forum Infect Dis Poster Abstracts BACKGROUND: The BioFire Bone and Joint Infection (BJI) Panel is a sample-to-answer test for the qualitative detection of nearly 40 different bacteria, yeast, and antimicrobial resistance (AMR) genes in synovial fluid (SF). The panel aims to improve on current culture-based diagnostics, particularly for detection of anaerobes (e.g. Finegoldia magna, Kingella kingae, Cutibacterium, Anaerococcus and Peptoniphilus species, and others) in about an hour. Analytical performance of the panel (Limit of Detection (LoD), analytical reactivity and specificity, interference, reproducibility), and specimen storage conditions are described. METHODS: LoD for each analyte was estimated from serial dilutions and confirmed at the lowest titer with ≥95% detection. A collection of >350 isolates representing genetic and geographic diversity of analytes was tested near LoD to assess analytical reactivity, and more than 420 near-neighbor, commensal, pathogenic, or environmental off-panel species were evaluated for assay specificity. Reproducibility was evaluated in a multi-laboratory multi-variable study, and the impact of storage and potentially interfering substances on the accuracy of test results was also assessed. Testing was performed with Investigational Use Only kits. RESULTS: The confirmed LoD for bacteria and yeast ranged from 100 - 10,000 CFU/mL. Sequence analysis and testing demonstrated clinically appropriate specificity and reactivity with a variety of isolates and different AMR gene types. Accurate and reproducible organism and AMR gene detection was observed with repeated testing of samples over several days (99.9% agreement with the expected results), and detection was not affected by potentially interfering substances nor by refrigerated sample storage. CONCLUSION: The BioFire BJI Panel is a robust, accurate, and easy-to-use multiplex PCR test capable of detecting many aerobic and anaerobic bacteria, yeast, and AMR genes in synovial fluid specimens. Rapid and reliable molecular detection of possible BJI pathogens may advance the diagnosis and effective management of bone and joint infections. NOTE: This panel has not been evaluated by the FDA or other regulatory agencies for diagnostic use. DISCLOSURES: Nicholas Francis, n/a, BioFire Diagnostics (Employee) Laurence Barbier, n/a, Biomerieux (Employee) Caroline Dubost, n/a, Biomerieux (Employee) Elodie Billet, n/a, Biomerieux (Employee) Joel Manwaring, n/a, BioFire Diagnostics (Employee) Josh Southwick, n/a, BioFire Diagnostics (Employee) Tyson Dawson, n/a, BioFire Diagnostics (Employee) Jess Gann, n/a, BioFire Diagnostics (Employee) Kevin Ekins, n/a, BioFire Diagnostics (Employee) Jennifer Arce, MS, BioFire Diagnostics/BioMerieux (Employee) Briana Flaherty, n/a, BioFire Diagnostics (Employee) Harmonie Durand, n/a, Biomerieux (Employee) Chris Cantrell, n/a, Biomerieux (Employee) Elizabeth Amiott, n/a, BioFire Diagnostics (Employee) Oxford University Press 2020-12-31 /pmc/articles/PMC7777967/ http://dx.doi.org/10.1093/ofid/ofaa439.834 Text en © The Author 2020. Published by Oxford University Press on behalf of Infectious Diseases Society of America. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Poster Abstracts Francis, Nicholas Barbier, Laurence Dubost, Caroline Billet, Elodie Manwaring, Joel Southwick, Josh Dawson, Tyson Gann, Jess Ekins, Kevin Arce, Jennifer Flaherty, Briana Durand, Harmonie Cantrell, Chris Amiott, Elizabeth 640. Analytical Validation of the BioFire(®) Bone and Joint Infection (BJI) Panel for the Identification of Bacteria, Yeast, and Antimicrobial Resistance Genes from Synovial Fluid |
title | 640. Analytical Validation of the BioFire(®) Bone and Joint Infection (BJI) Panel for the Identification of Bacteria, Yeast, and Antimicrobial Resistance Genes from Synovial Fluid |
title_full | 640. Analytical Validation of the BioFire(®) Bone and Joint Infection (BJI) Panel for the Identification of Bacteria, Yeast, and Antimicrobial Resistance Genes from Synovial Fluid |
title_fullStr | 640. Analytical Validation of the BioFire(®) Bone and Joint Infection (BJI) Panel for the Identification of Bacteria, Yeast, and Antimicrobial Resistance Genes from Synovial Fluid |
title_full_unstemmed | 640. Analytical Validation of the BioFire(®) Bone and Joint Infection (BJI) Panel for the Identification of Bacteria, Yeast, and Antimicrobial Resistance Genes from Synovial Fluid |
title_short | 640. Analytical Validation of the BioFire(®) Bone and Joint Infection (BJI) Panel for the Identification of Bacteria, Yeast, and Antimicrobial Resistance Genes from Synovial Fluid |
title_sort | 640. analytical validation of the biofire(®) bone and joint infection (bji) panel for the identification of bacteria, yeast, and antimicrobial resistance genes from synovial fluid |
topic | Poster Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7777967/ http://dx.doi.org/10.1093/ofid/ofaa439.834 |
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