Cargando…

1022. Evaluating the Impact of GenMark Dx ePlex® Blood Culture Identification (BCID) on Gram-negative Bloodstream Infections

BACKGROUND: The GenMark Dx ePlex BCID Gram-Negative (GN) panel utilizes electrowetting technology to detect the most common causes of GN bacteremia (21 targets) and 6 antimicrobial resistance (AMR) genes from positive blood culture (BC) bottles. Rapid detection of extended spectrum β-lactamases (ESB...

Descripción completa

Detalles Bibliográficos
Autores principales: Cumagun, Pia, Meeder, Jeremy, Moates, Derek, Pierce, Hannah, McCarty, Todd P, Lee, Rachael A, Leal, Sixto M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8644973/
http://dx.doi.org/10.1093/ofid/ofab466.1216
_version_ 1784610210804924416
author Cumagun, Pia
Meeder, Jeremy
Moates, Derek
Pierce, Hannah
McCarty, Todd P
Lee, Rachael A
Leal, Sixto M
author_facet Cumagun, Pia
Meeder, Jeremy
Moates, Derek
Pierce, Hannah
McCarty, Todd P
Lee, Rachael A
Leal, Sixto M
author_sort Cumagun, Pia
collection PubMed
description BACKGROUND: The GenMark Dx ePlex BCID Gram-Negative (GN) panel utilizes electrowetting technology to detect the most common causes of GN bacteremia (21 targets) and 6 antimicrobial resistance (AMR) genes from positive blood culture (BC) bottles. Rapid detection of extended spectrum β-lactamases (ESBL: CTX-M & carbapenemases: KPC, NDM, IMP, VIM, OXA 23/48), and highly resistant bacteria such as S. maltophilia should enable early optimization of antimicrobial therapy. METHODS: In this prospective study, aliquots of positive BC bottles with GN bacteria detected on Gram stain (GS) (n=108) received standard of care (SOC) culture and antimicrobial susceptibility testing (AST). Additionally, samples were evaluated with the BCID-GN panel but only SOC results were reported in the EMR and available to inform clinical decisions. Chart reviews were performed to evaluate the impact of the BCID-GN panel on the time to organism identification, AST results, and optimization of antimicrobial therapy. RESULTS: A total of 108 patients are included in the analysis (Table 1). Escherichia coli was the most common bacteria identified followed by Klebsiella pneumoniae, Pseudomonas aeruginosa, and Enterobacter species (Table 2). There were 11 (10.2%) polymicrobial bacteremias. Repeat BCs were obtained in 68 (63%) patients of which 13 (19%) were persistently positive. Eight (7%) patients had evidence of additional gram-positive (GP) pathogens. Organism identification occurred 26.7 hours faster than culture. In conjunction with GS, negative pan-GP marker data could have helped providers make the decision to remove GP antibiotic coverage in 63 (58%) patients. Narrowing from empiric meropenem could have occurred in 5 patients. Of 10 individuals infected with resistant isolates (1 S. maltophilia, 1 OXA 23/48, and 8 CTX-M) empiric therapy was ineffective in 4 (40%) cases. Optimization of antimicrobial therapy for 9 (8.3%) patients could have occurred an average of 52.4 hours earlier than standard methods. Table 1. Patient demographics and co-morbidities. [Image: see text] Table 2. Gram-negative bacteria frequency. [Image: see text] CONCLUSION: The BCID-GN panel enabled earlier time to optimal treatment of highly resistant bacteria as well as multiple opportunities for narrowing gram negative spectrum and a higher degree of certainty in cessation of broad-spectrum gram-positive antibiotics DISCLOSURES: Todd P. McCarty, MD, Cidara (Grant/Research Support)GenMark (Grant/Research Support, Other Financial or Material Support, Honoraria for Research Presentation)T2 Biosystems (Consultant) Sixto M. Leal, Jr., MD, PhD, Abnova (Grant/Research Support)AltImmune (Grant/Research Support)Amplyx Pharmaceuticals (Grant/Research Support)Astellas Pharmaceuticals (Grant/Research Support)CNINE Dx (Grant/Research Support)GenMark Diagnostics (Grant/Research Support, Other Financial or Material Support, Honoraria- Research Presentation)IHMA (Grant/Research Support)IMMY Dx (Grant/Research Support)JMI/Sentry (Grant/Research Support)mFluiDx Dx (Grant/Research Support)SpeeDx Dx (Grant/Research Support)Tetraphase Pharmaceuticals (Grant/Research Support)
format Online
Article
Text
id pubmed-8644973
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-86449732021-12-06 1022. Evaluating the Impact of GenMark Dx ePlex® Blood Culture Identification (BCID) on Gram-negative Bloodstream Infections Cumagun, Pia Meeder, Jeremy Moates, Derek Pierce, Hannah McCarty, Todd P Lee, Rachael A Leal, Sixto M Open Forum Infect Dis Poster Abstracts BACKGROUND: The GenMark Dx ePlex BCID Gram-Negative (GN) panel utilizes electrowetting technology to detect the most common causes of GN bacteremia (21 targets) and 6 antimicrobial resistance (AMR) genes from positive blood culture (BC) bottles. Rapid detection of extended spectrum β-lactamases (ESBL: CTX-M & carbapenemases: KPC, NDM, IMP, VIM, OXA 23/48), and highly resistant bacteria such as S. maltophilia should enable early optimization of antimicrobial therapy. METHODS: In this prospective study, aliquots of positive BC bottles with GN bacteria detected on Gram stain (GS) (n=108) received standard of care (SOC) culture and antimicrobial susceptibility testing (AST). Additionally, samples were evaluated with the BCID-GN panel but only SOC results were reported in the EMR and available to inform clinical decisions. Chart reviews were performed to evaluate the impact of the BCID-GN panel on the time to organism identification, AST results, and optimization of antimicrobial therapy. RESULTS: A total of 108 patients are included in the analysis (Table 1). Escherichia coli was the most common bacteria identified followed by Klebsiella pneumoniae, Pseudomonas aeruginosa, and Enterobacter species (Table 2). There were 11 (10.2%) polymicrobial bacteremias. Repeat BCs were obtained in 68 (63%) patients of which 13 (19%) were persistently positive. Eight (7%) patients had evidence of additional gram-positive (GP) pathogens. Organism identification occurred 26.7 hours faster than culture. In conjunction with GS, negative pan-GP marker data could have helped providers make the decision to remove GP antibiotic coverage in 63 (58%) patients. Narrowing from empiric meropenem could have occurred in 5 patients. Of 10 individuals infected with resistant isolates (1 S. maltophilia, 1 OXA 23/48, and 8 CTX-M) empiric therapy was ineffective in 4 (40%) cases. Optimization of antimicrobial therapy for 9 (8.3%) patients could have occurred an average of 52.4 hours earlier than standard methods. Table 1. Patient demographics and co-morbidities. [Image: see text] Table 2. Gram-negative bacteria frequency. [Image: see text] CONCLUSION: The BCID-GN panel enabled earlier time to optimal treatment of highly resistant bacteria as well as multiple opportunities for narrowing gram negative spectrum and a higher degree of certainty in cessation of broad-spectrum gram-positive antibiotics DISCLOSURES: Todd P. McCarty, MD, Cidara (Grant/Research Support)GenMark (Grant/Research Support, Other Financial or Material Support, Honoraria for Research Presentation)T2 Biosystems (Consultant) Sixto M. Leal, Jr., MD, PhD, Abnova (Grant/Research Support)AltImmune (Grant/Research Support)Amplyx Pharmaceuticals (Grant/Research Support)Astellas Pharmaceuticals (Grant/Research Support)CNINE Dx (Grant/Research Support)GenMark Diagnostics (Grant/Research Support, Other Financial or Material Support, Honoraria- Research Presentation)IHMA (Grant/Research Support)IMMY Dx (Grant/Research Support)JMI/Sentry (Grant/Research Support)mFluiDx Dx (Grant/Research Support)SpeeDx Dx (Grant/Research Support)Tetraphase Pharmaceuticals (Grant/Research Support) Oxford University Press 2021-12-04 /pmc/articles/PMC8644973/ http://dx.doi.org/10.1093/ofid/ofab466.1216 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of Infectious Diseases Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Poster Abstracts
Cumagun, Pia
Meeder, Jeremy
Moates, Derek
Pierce, Hannah
McCarty, Todd P
Lee, Rachael A
Leal, Sixto M
1022. Evaluating the Impact of GenMark Dx ePlex® Blood Culture Identification (BCID) on Gram-negative Bloodstream Infections
title 1022. Evaluating the Impact of GenMark Dx ePlex® Blood Culture Identification (BCID) on Gram-negative Bloodstream Infections
title_full 1022. Evaluating the Impact of GenMark Dx ePlex® Blood Culture Identification (BCID) on Gram-negative Bloodstream Infections
title_fullStr 1022. Evaluating the Impact of GenMark Dx ePlex® Blood Culture Identification (BCID) on Gram-negative Bloodstream Infections
title_full_unstemmed 1022. Evaluating the Impact of GenMark Dx ePlex® Blood Culture Identification (BCID) on Gram-negative Bloodstream Infections
title_short 1022. Evaluating the Impact of GenMark Dx ePlex® Blood Culture Identification (BCID) on Gram-negative Bloodstream Infections
title_sort 1022. evaluating the impact of genmark dx eplex® blood culture identification (bcid) on gram-negative bloodstream infections
topic Poster Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8644973/
http://dx.doi.org/10.1093/ofid/ofab466.1216
work_keys_str_mv AT cumagunpia 1022evaluatingtheimpactofgenmarkdxeplexbloodcultureidentificationbcidongramnegativebloodstreaminfections
AT meederjeremy 1022evaluatingtheimpactofgenmarkdxeplexbloodcultureidentificationbcidongramnegativebloodstreaminfections
AT moatesderek 1022evaluatingtheimpactofgenmarkdxeplexbloodcultureidentificationbcidongramnegativebloodstreaminfections
AT piercehannah 1022evaluatingtheimpactofgenmarkdxeplexbloodcultureidentificationbcidongramnegativebloodstreaminfections
AT mccartytoddp 1022evaluatingtheimpactofgenmarkdxeplexbloodcultureidentificationbcidongramnegativebloodstreaminfections
AT leerachaela 1022evaluatingtheimpactofgenmarkdxeplexbloodcultureidentificationbcidongramnegativebloodstreaminfections
AT lealsixtom 1022evaluatingtheimpactofgenmarkdxeplexbloodcultureidentificationbcidongramnegativebloodstreaminfections