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Evaluation of Microbiological Performance and the Potential Clinical Impact of the ePlex(®) Blood Culture Identification Panels for the Rapid Diagnosis of Bacteremia and Fungemia
Molecular rapid diagnostic assays associated with antimicrobial stewardship have proven effective for the early adaptation of empiric therapy in bloodstream infections. The ePlex(®) BCID (GenMark Diagnostics) Panels allow identification of 56 bacteria and fungi and 10 resistance genes in 90 min dire...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7726344/ https://www.ncbi.nlm.nih.gov/pubmed/33324578 http://dx.doi.org/10.3389/fcimb.2020.594951 |
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author | Bryant, Sabrina Almahmoud, Iyad Pierre, Isabelle Bardet, Julie Touati, Saber Maubon, Daniele Cornet, Muriel Richarme, Claire Maurin, Max Pavese, Patricia Caspar, Yvan |
author_facet | Bryant, Sabrina Almahmoud, Iyad Pierre, Isabelle Bardet, Julie Touati, Saber Maubon, Daniele Cornet, Muriel Richarme, Claire Maurin, Max Pavese, Patricia Caspar, Yvan |
author_sort | Bryant, Sabrina |
collection | PubMed |
description | Molecular rapid diagnostic assays associated with antimicrobial stewardship have proven effective for the early adaptation of empiric therapy in bloodstream infections. The ePlex(®) BCID (GenMark Diagnostics) Panels allow identification of 56 bacteria and fungi and 10 resistance genes in 90 min directly from positive blood cultures. We prospectively evaluated 187 sepsis episodes at Grenoble University Hospital and retrospectively analyzed the cases to measure the potential clinical impact of the ePlex BCID results. Identification of all pathogens was obtained for 164/187 (88%) bloodstream infections with 100% detection of antimicrobial resistance genes (17 bla(CTX-M), 1 vanA, and 17 mecA genes). Only 15/209 (7%) strains were not covered by the panels. Sensitivity for detection of micro-organisms targeted by the RUO BCID-GP, BCID-GN, and BCID-FP Panels was respectively 84/84 (100%), 103/107 (96%), and 14/14 (100%). Interestingly, accurate identification of all pathogens was achieved in 15/17 (88%) polymicrobial samples. Retrospective analysis of medical records showed that a modification of antimicrobial treatment would have been done in 45% of the patients. Treatment modifications would have been an optimization of empiric therapy, a de-escalation or an escalation in respectively 16, 17, and 11% of the patients. Moreover, 11% of the samples were classified as contaminants or not clinically relevant and would have led to early de-escalation or withdrawal of any antibiotic. Detection of resistance genes in addition to identification alone increased escalation rate from 4 to 11% of the patients. Absence of the ePlex result was considered a lost opportunity for therapy modification in 28% of patients. |
format | Online Article Text |
id | pubmed-7726344 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-77263442020-12-14 Evaluation of Microbiological Performance and the Potential Clinical Impact of the ePlex(®) Blood Culture Identification Panels for the Rapid Diagnosis of Bacteremia and Fungemia Bryant, Sabrina Almahmoud, Iyad Pierre, Isabelle Bardet, Julie Touati, Saber Maubon, Daniele Cornet, Muriel Richarme, Claire Maurin, Max Pavese, Patricia Caspar, Yvan Front Cell Infect Microbiol Cellular and Infection Microbiology Molecular rapid diagnostic assays associated with antimicrobial stewardship have proven effective for the early adaptation of empiric therapy in bloodstream infections. The ePlex(®) BCID (GenMark Diagnostics) Panels allow identification of 56 bacteria and fungi and 10 resistance genes in 90 min directly from positive blood cultures. We prospectively evaluated 187 sepsis episodes at Grenoble University Hospital and retrospectively analyzed the cases to measure the potential clinical impact of the ePlex BCID results. Identification of all pathogens was obtained for 164/187 (88%) bloodstream infections with 100% detection of antimicrobial resistance genes (17 bla(CTX-M), 1 vanA, and 17 mecA genes). Only 15/209 (7%) strains were not covered by the panels. Sensitivity for detection of micro-organisms targeted by the RUO BCID-GP, BCID-GN, and BCID-FP Panels was respectively 84/84 (100%), 103/107 (96%), and 14/14 (100%). Interestingly, accurate identification of all pathogens was achieved in 15/17 (88%) polymicrobial samples. Retrospective analysis of medical records showed that a modification of antimicrobial treatment would have been done in 45% of the patients. Treatment modifications would have been an optimization of empiric therapy, a de-escalation or an escalation in respectively 16, 17, and 11% of the patients. Moreover, 11% of the samples were classified as contaminants or not clinically relevant and would have led to early de-escalation or withdrawal of any antibiotic. Detection of resistance genes in addition to identification alone increased escalation rate from 4 to 11% of the patients. Absence of the ePlex result was considered a lost opportunity for therapy modification in 28% of patients. Frontiers Media S.A. 2020-11-26 /pmc/articles/PMC7726344/ /pubmed/33324578 http://dx.doi.org/10.3389/fcimb.2020.594951 Text en Copyright © 2020 Bryant, Almahmoud, Pierre, Bardet, Touati, Maubon, Cornet, Richarme, Maurin, Pavese and Caspar http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Cellular and Infection Microbiology Bryant, Sabrina Almahmoud, Iyad Pierre, Isabelle Bardet, Julie Touati, Saber Maubon, Daniele Cornet, Muriel Richarme, Claire Maurin, Max Pavese, Patricia Caspar, Yvan Evaluation of Microbiological Performance and the Potential Clinical Impact of the ePlex(®) Blood Culture Identification Panels for the Rapid Diagnosis of Bacteremia and Fungemia |
title | Evaluation of Microbiological Performance and the Potential Clinical Impact of the ePlex(®) Blood Culture Identification Panels for the Rapid Diagnosis of Bacteremia and Fungemia |
title_full | Evaluation of Microbiological Performance and the Potential Clinical Impact of the ePlex(®) Blood Culture Identification Panels for the Rapid Diagnosis of Bacteremia and Fungemia |
title_fullStr | Evaluation of Microbiological Performance and the Potential Clinical Impact of the ePlex(®) Blood Culture Identification Panels for the Rapid Diagnosis of Bacteremia and Fungemia |
title_full_unstemmed | Evaluation of Microbiological Performance and the Potential Clinical Impact of the ePlex(®) Blood Culture Identification Panels for the Rapid Diagnosis of Bacteremia and Fungemia |
title_short | Evaluation of Microbiological Performance and the Potential Clinical Impact of the ePlex(®) Blood Culture Identification Panels for the Rapid Diagnosis of Bacteremia and Fungemia |
title_sort | evaluation of microbiological performance and the potential clinical impact of the eplex(®) blood culture identification panels for the rapid diagnosis of bacteremia and fungemia |
topic | Cellular and Infection Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7726344/ https://www.ncbi.nlm.nih.gov/pubmed/33324578 http://dx.doi.org/10.3389/fcimb.2020.594951 |
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