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2290. Identification of Pathogens in Synovial Fluid Samples With an Automated Multiplexed Molecular Detection System

BACKGROUND: Bone and Joint Infections (BJI) have high morbidity and are difficult to treat infections. Culture-based diagnosis is limited in its ability to recover fastidious bacteria and because several organisms can be involved; culture times of up to two weeks may be necessary for certain bacteri...

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Autores principales: Pons, Benedicte, Jay, Corinne, Martin, Thibault, Sothier, Isabelle, Savelli, Helene, Kensinger, Bart, Laurent, Frédéric, Abad, Lelia, Murphy, Caitlin, Craney, Arryn, Schmitt, Bryan, Waggoner, Amy, Butler-Wu, Susan, Costales, Cristina, Bien-Bard, Jennifer, Mestas, Javier, Esteban, Jaime, Salar-Vidal, Llanos, Harrington, Amanda, Collier, Samuel, Leber, Amy, Everhart, Kathy, Balada-Llasat, Joan-Miquel, D, Pharm, Horn, Jarid, Magro, Stephane, Bourzac, Kevin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6253585/
http://dx.doi.org/10.1093/ofid/ofy210.1943
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author Pons, Benedicte
Jay, Corinne
Martin, Thibault
Sothier, Isabelle
Savelli, Helene
Kensinger, Bart
Laurent, Frédéric
Abad, Lelia
Murphy, Caitlin
Craney, Arryn
Schmitt, Bryan
Waggoner, Amy
Butler-Wu, Susan
Costales, Cristina
Bien-Bard, Jennifer
Mestas, Javier
Esteban, Jaime
Salar-Vidal, Llanos
Harrington, Amanda
Collier, Samuel
Leber, Amy
Everhart, Kathy
Balada-Llasat, Joan-Miquel
D, Pharm
Horn, Jarid
Magro, Stephane
Bourzac, Kevin
author_facet Pons, Benedicte
Jay, Corinne
Martin, Thibault
Sothier, Isabelle
Savelli, Helene
Kensinger, Bart
Laurent, Frédéric
Abad, Lelia
Murphy, Caitlin
Craney, Arryn
Schmitt, Bryan
Waggoner, Amy
Butler-Wu, Susan
Costales, Cristina
Bien-Bard, Jennifer
Mestas, Javier
Esteban, Jaime
Salar-Vidal, Llanos
Harrington, Amanda
Collier, Samuel
Leber, Amy
Everhart, Kathy
Balada-Llasat, Joan-Miquel
D, Pharm
Horn, Jarid
Magro, Stephane
Bourzac, Kevin
author_sort Pons, Benedicte
collection PubMed
description BACKGROUND: Bone and Joint Infections (BJI) have high morbidity and are difficult to treat infections. Culture-based diagnosis is limited in its ability to recover fastidious bacteria and because several organisms can be involved; culture times of up to two weeks may be necessary for certain bacteria. The sensitivity of culture is also negatively impacted by antibiotics received before surgery. Alternatively, molecular methods offer a promising improvement for the diagnosis of BJI. The goal of this study was to evaluate a development version of Biofire(®) Bone and Joint Infection (BJI) Panel (bioMerieux SA, BioFire Diagnostics, LLC) using synovial fluid samples. METHODS: 121 synovial fluid specimens were collected from patients with suspected bone and joint infection in a pilot evaluation. All specimens were collected and tested in culture by the sites using their standard of care practices; in parallel, a leftover volume of 200 µL was tested on the BJI panel. BJI panel results were then compared with culture and discordant results were investigated using a comparator assay (PCR/sequencing). RESULTS: 49 synovial fluid specimens (40%) were positive by culture vs. 72 with the BJI panel (59%). Of the 97 positive detections by the BJI panel, 58 were concordant with culture; the 39 additional organism detections were in majority confirmed by PCR/sequencing. Lastly, two false negative results corresponding to the same sample are under investigation. CONCLUSION: The BJI Panel was able to identify most of the pathogens detected by culture. The majority of additional detections observed were confirmed by PCR/sequencing. While sites are currently enrolling more synovial fluids samples, these preliminary data suggest that a multiplexed molecular test may be more sensitive than culture to detect pathogens in synovial fluid specimens. The data presented in this abstract have not been reviewed by FDA or other regulatory agencies for In Vitro Diagnostic use. DISCLOSURES: B. Pons, bioMerieux: Employee, Salary. C. Jay, bioMerieux: Employee, Salary. T. Martin, bioMerieux: Employee, Salary. I. Sothier, bioMerieux: Employee, Salary. H. Savelli, bioMerieux: Employee, Salary. B. Kensinger, bioFire a bioMerieux company: Employee, Salary. F. Laurent, BioFire (bioMerieux company): Investigator, Research support. L. Abad, BioFire (bioMerieux company): Investigator, Research support. C. Murphy, BioFire (bioMerieux company): Investigator, Research support. A. Craney, BioFire (bioMerieux company): Investigator, Research support. B. Schmitt, BioFire (bioMerieux company): Investigator, Research support. A. Waggoner, BioFire (bioMerieux company): Investigator, Research support. S. Butler-Wu, BioFire (bioMerieux): Investigator, Research support. C. Costales, BioFire (bioMerieux company): Investigator, Research support. J. Bien-Bard, BioFire (bioMerieux): Investigator, Research support. J. Mestas, BioFire (bioMerieux): Investigator, Research support. J. Esteban, BioFire (bioMerieux): Investigator, Research support. L. Salar-Vidal, BioFire (BioMerieux company)): Investigator, Research support. A. Harrington, BioFire (bioMerieux company): Investigator, Research support. S. Collier, BioFire (BioMerieux Company): Investigator, Research support. A. Leber, BioFire (bioMerieux company): Investigator, Research support. K. Everhart, BioFire (bioMerieux company): Investigator, Research support. J. M. Balada-Llasat, BioFire (bioMerieux company): Investigator, Research support. J. Horn, BioFire (bioMerieux company): Investigator, Research support. S. Magro, bioMerieux: Employee, Salary. K. Bourzac, BioFire a bioMerieux company: Employee, Salary.
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spelling pubmed-62535852018-11-28 2290. Identification of Pathogens in Synovial Fluid Samples With an Automated Multiplexed Molecular Detection System Pons, Benedicte Jay, Corinne Martin, Thibault Sothier, Isabelle Savelli, Helene Kensinger, Bart Laurent, Frédéric Abad, Lelia Murphy, Caitlin Craney, Arryn Schmitt, Bryan Waggoner, Amy Butler-Wu, Susan Costales, Cristina Bien-Bard, Jennifer Mestas, Javier Esteban, Jaime Salar-Vidal, Llanos Harrington, Amanda Collier, Samuel Leber, Amy Everhart, Kathy Balada-Llasat, Joan-Miquel D, Pharm Horn, Jarid Magro, Stephane Bourzac, Kevin Open Forum Infect Dis Abstracts BACKGROUND: Bone and Joint Infections (BJI) have high morbidity and are difficult to treat infections. Culture-based diagnosis is limited in its ability to recover fastidious bacteria and because several organisms can be involved; culture times of up to two weeks may be necessary for certain bacteria. The sensitivity of culture is also negatively impacted by antibiotics received before surgery. Alternatively, molecular methods offer a promising improvement for the diagnosis of BJI. The goal of this study was to evaluate a development version of Biofire(®) Bone and Joint Infection (BJI) Panel (bioMerieux SA, BioFire Diagnostics, LLC) using synovial fluid samples. METHODS: 121 synovial fluid specimens were collected from patients with suspected bone and joint infection in a pilot evaluation. All specimens were collected and tested in culture by the sites using their standard of care practices; in parallel, a leftover volume of 200 µL was tested on the BJI panel. BJI panel results were then compared with culture and discordant results were investigated using a comparator assay (PCR/sequencing). RESULTS: 49 synovial fluid specimens (40%) were positive by culture vs. 72 with the BJI panel (59%). Of the 97 positive detections by the BJI panel, 58 were concordant with culture; the 39 additional organism detections were in majority confirmed by PCR/sequencing. Lastly, two false negative results corresponding to the same sample are under investigation. CONCLUSION: The BJI Panel was able to identify most of the pathogens detected by culture. The majority of additional detections observed were confirmed by PCR/sequencing. While sites are currently enrolling more synovial fluids samples, these preliminary data suggest that a multiplexed molecular test may be more sensitive than culture to detect pathogens in synovial fluid specimens. The data presented in this abstract have not been reviewed by FDA or other regulatory agencies for In Vitro Diagnostic use. DISCLOSURES: B. Pons, bioMerieux: Employee, Salary. C. Jay, bioMerieux: Employee, Salary. T. Martin, bioMerieux: Employee, Salary. I. Sothier, bioMerieux: Employee, Salary. H. Savelli, bioMerieux: Employee, Salary. B. Kensinger, bioFire a bioMerieux company: Employee, Salary. F. Laurent, BioFire (bioMerieux company): Investigator, Research support. L. Abad, BioFire (bioMerieux company): Investigator, Research support. C. Murphy, BioFire (bioMerieux company): Investigator, Research support. A. Craney, BioFire (bioMerieux company): Investigator, Research support. B. Schmitt, BioFire (bioMerieux company): Investigator, Research support. A. Waggoner, BioFire (bioMerieux company): Investigator, Research support. S. Butler-Wu, BioFire (bioMerieux): Investigator, Research support. C. Costales, BioFire (bioMerieux company): Investigator, Research support. J. Bien-Bard, BioFire (bioMerieux): Investigator, Research support. J. Mestas, BioFire (bioMerieux): Investigator, Research support. J. Esteban, BioFire (bioMerieux): Investigator, Research support. L. Salar-Vidal, BioFire (BioMerieux company)): Investigator, Research support. A. Harrington, BioFire (bioMerieux company): Investigator, Research support. S. Collier, BioFire (BioMerieux Company): Investigator, Research support. A. Leber, BioFire (bioMerieux company): Investigator, Research support. K. Everhart, BioFire (bioMerieux company): Investigator, Research support. J. M. Balada-Llasat, BioFire (bioMerieux company): Investigator, Research support. J. Horn, BioFire (bioMerieux company): Investigator, Research support. S. Magro, bioMerieux: Employee, Salary. K. Bourzac, BioFire a bioMerieux company: Employee, Salary. Oxford University Press 2018-11-26 /pmc/articles/PMC6253585/ http://dx.doi.org/10.1093/ofid/ofy210.1943 Text en © The Author(s) 2018. 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 Abstracts
Pons, Benedicte
Jay, Corinne
Martin, Thibault
Sothier, Isabelle
Savelli, Helene
Kensinger, Bart
Laurent, Frédéric
Abad, Lelia
Murphy, Caitlin
Craney, Arryn
Schmitt, Bryan
Waggoner, Amy
Butler-Wu, Susan
Costales, Cristina
Bien-Bard, Jennifer
Mestas, Javier
Esteban, Jaime
Salar-Vidal, Llanos
Harrington, Amanda
Collier, Samuel
Leber, Amy
Everhart, Kathy
Balada-Llasat, Joan-Miquel
D, Pharm
Horn, Jarid
Magro, Stephane
Bourzac, Kevin
2290. Identification of Pathogens in Synovial Fluid Samples With an Automated Multiplexed Molecular Detection System
title 2290. Identification of Pathogens in Synovial Fluid Samples With an Automated Multiplexed Molecular Detection System
title_full 2290. Identification of Pathogens in Synovial Fluid Samples With an Automated Multiplexed Molecular Detection System
title_fullStr 2290. Identification of Pathogens in Synovial Fluid Samples With an Automated Multiplexed Molecular Detection System
title_full_unstemmed 2290. Identification of Pathogens in Synovial Fluid Samples With an Automated Multiplexed Molecular Detection System
title_short 2290. Identification of Pathogens in Synovial Fluid Samples With an Automated Multiplexed Molecular Detection System
title_sort 2290. identification of pathogens in synovial fluid samples with an automated multiplexed molecular detection system
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6253585/
http://dx.doi.org/10.1093/ofid/ofy210.1943
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