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359. The Clinical Utility of the GenMark Dx ePlex® Fungal Blood Culture Identification Panel

BACKGROUND: The GenMark ePlex® Fungal Blood Culture Identification (BCID) Panel utilizes electrowetting technology to detect 15 most common causes of fungemia. Rapid identification of fungal species and innate resistance patterns enable improved antifungal stewardship. METHODS: In this prospective s...

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Autores principales: Carmona, Stefania, Meeder, Jeremy, Moates, Derek, McCarty, Todd P, Lee, Rachael A, Leal, Sixto M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9752164/
http://dx.doi.org/10.1093/ofid/ofac492.437
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author Carmona, Stefania
Meeder, Jeremy
Moates, Derek
McCarty, Todd P
Lee, Rachael A
Leal, Sixto M
author_facet Carmona, Stefania
Meeder, Jeremy
Moates, Derek
McCarty, Todd P
Lee, Rachael A
Leal, Sixto M
author_sort Carmona, Stefania
collection PubMed
description BACKGROUND: The GenMark ePlex® Fungal Blood Culture Identification (BCID) Panel utilizes electrowetting technology to detect 15 most common causes of fungemia. Rapid identification of fungal species and innate resistance patterns enable improved antifungal stewardship. METHODS: In this prospective study, aliquots of the initial diagnostic blood culture bottle with fungal organisms detected on Gram Stain (n=61) received standard of care (SOC) fungal identification in two study periods. MALDI-TOF MS was utilized in both phases. BCID-FP results were not reported to treating clinicians during the pre-implementation phase. After 35 isolates, BCID-FP results became part of the SOC for all bloodstream infections (implementation phase) with results available to providers. Chart reviews were performed to assess risk factors for candidemia and evaluate the potential then actual impact of the BCID-FP on the time to organism identification, treatment, and patient outcomes. RESULTS: A total of 61 patients were included in the final analysis, 35 in the pre-implementation phase and 26 in the post-implementation phase (Table 1). C. albicans was most common, followed by C. glabrata and C. parapsilosis. The cohort includes two cases of Cryptococcus as well as two rare yeasts unable to be identified by BCID-FP and requiring the state lab identification (Table 2). Overall outcomes and differences between groups are seen in Table 3. The BCID-FP identified species 1.4 days faster compared to SOC methods across all patients, 1.12 days in the pre-implementation phase vs. 1.81 days in the post-implementation phase. In 32 patients (52%), the BCID-FP allowed for an earlier change in antifungal therapy for species with known low risk of fluconazole resistance. [Figure: see text] [Figure: see text] [Figure: see text] CONCLUSION: The BCID-FP enabled earlier fungal identification compared to SOC identification. Earlier identification allows for earlier antifungal stewardship as well as better empiric therapy for non-Candida­ fungal pathogens. Empiric therapy rates were low with high mortality rates, indicative of an ongoing need for improving the care of patients with fungemia. DISCLOSURES: Todd P. McCarty, MD, GenMark Dx: Grant/Research Support|GenMark Dx: Honoraria Sixto M. Leal, Jr., MD, PhD, GenMark Dx: Grant/Research Support|GenMark Dx: Honoraria.
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spelling pubmed-97521642022-12-16 359. The Clinical Utility of the GenMark Dx ePlex® Fungal Blood Culture Identification Panel Carmona, Stefania Meeder, Jeremy Moates, Derek McCarty, Todd P Lee, Rachael A Leal, Sixto M Open Forum Infect Dis Abstracts BACKGROUND: The GenMark ePlex® Fungal Blood Culture Identification (BCID) Panel utilizes electrowetting technology to detect 15 most common causes of fungemia. Rapid identification of fungal species and innate resistance patterns enable improved antifungal stewardship. METHODS: In this prospective study, aliquots of the initial diagnostic blood culture bottle with fungal organisms detected on Gram Stain (n=61) received standard of care (SOC) fungal identification in two study periods. MALDI-TOF MS was utilized in both phases. BCID-FP results were not reported to treating clinicians during the pre-implementation phase. After 35 isolates, BCID-FP results became part of the SOC for all bloodstream infections (implementation phase) with results available to providers. Chart reviews were performed to assess risk factors for candidemia and evaluate the potential then actual impact of the BCID-FP on the time to organism identification, treatment, and patient outcomes. RESULTS: A total of 61 patients were included in the final analysis, 35 in the pre-implementation phase and 26 in the post-implementation phase (Table 1). C. albicans was most common, followed by C. glabrata and C. parapsilosis. The cohort includes two cases of Cryptococcus as well as two rare yeasts unable to be identified by BCID-FP and requiring the state lab identification (Table 2). Overall outcomes and differences between groups are seen in Table 3. The BCID-FP identified species 1.4 days faster compared to SOC methods across all patients, 1.12 days in the pre-implementation phase vs. 1.81 days in the post-implementation phase. In 32 patients (52%), the BCID-FP allowed for an earlier change in antifungal therapy for species with known low risk of fluconazole resistance. [Figure: see text] [Figure: see text] [Figure: see text] CONCLUSION: The BCID-FP enabled earlier fungal identification compared to SOC identification. Earlier identification allows for earlier antifungal stewardship as well as better empiric therapy for non-Candida­ fungal pathogens. Empiric therapy rates were low with high mortality rates, indicative of an ongoing need for improving the care of patients with fungemia. DISCLOSURES: Todd P. McCarty, MD, GenMark Dx: Grant/Research Support|GenMark Dx: Honoraria Sixto M. Leal, Jr., MD, PhD, GenMark Dx: Grant/Research Support|GenMark Dx: Honoraria. Oxford University Press 2022-12-15 /pmc/articles/PMC9752164/ http://dx.doi.org/10.1093/ofid/ofac492.437 Text en © The Author(s) 2022. 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 Abstracts
Carmona, Stefania
Meeder, Jeremy
Moates, Derek
McCarty, Todd P
Lee, Rachael A
Leal, Sixto M
359. The Clinical Utility of the GenMark Dx ePlex® Fungal Blood Culture Identification Panel
title 359. The Clinical Utility of the GenMark Dx ePlex® Fungal Blood Culture Identification Panel
title_full 359. The Clinical Utility of the GenMark Dx ePlex® Fungal Blood Culture Identification Panel
title_fullStr 359. The Clinical Utility of the GenMark Dx ePlex® Fungal Blood Culture Identification Panel
title_full_unstemmed 359. The Clinical Utility of the GenMark Dx ePlex® Fungal Blood Culture Identification Panel
title_short 359. The Clinical Utility of the GenMark Dx ePlex® Fungal Blood Culture Identification Panel
title_sort 359. the clinical utility of the genmark dx eplex® fungal blood culture identification panel
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9752164/
http://dx.doi.org/10.1093/ofid/ofac492.437
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