Cargando…

Multicenter Evaluation of a PCR-Based Digital Microfluidics and Electrochemical Detection System for the Rapid Identification of 15 Fungal Pathogens Directly from Positive Blood Cultures

Routine identification of fungal pathogens from positive blood cultures by culture-based methods can be time-consuming, delaying treatment with appropriate antifungal agents. The GenMark Dx ePlex investigational use only blood culture identification fungal pathogen panel (BCID-FP) rapidly detects 15...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Sean X., Carroll, Karen C., Lewis, Shawna, Totten, Marissa, Mead, Peter, Samuel, Linoj, Steed, Lisa L., Nolte, Frederick S., Thornberg, Adam, Reid, Jennifer L., Whitfield, Natalie N., Babady, N. Esther
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7180249/
https://www.ncbi.nlm.nih.gov/pubmed/32075904
http://dx.doi.org/10.1128/JCM.02096-19
_version_ 1783525783147380736
author Zhang, Sean X.
Carroll, Karen C.
Lewis, Shawna
Totten, Marissa
Mead, Peter
Samuel, Linoj
Steed, Lisa L.
Nolte, Frederick S.
Thornberg, Adam
Reid, Jennifer L.
Whitfield, Natalie N.
Babady, N. Esther
author_facet Zhang, Sean X.
Carroll, Karen C.
Lewis, Shawna
Totten, Marissa
Mead, Peter
Samuel, Linoj
Steed, Lisa L.
Nolte, Frederick S.
Thornberg, Adam
Reid, Jennifer L.
Whitfield, Natalie N.
Babady, N. Esther
author_sort Zhang, Sean X.
collection PubMed
description Routine identification of fungal pathogens from positive blood cultures by culture-based methods can be time-consuming, delaying treatment with appropriate antifungal agents. The GenMark Dx ePlex investigational use only blood culture identification fungal pathogen panel (BCID-FP) rapidly detects 15 fungal targets simultaneously in blood culture samples positive for fungi by Gram staining. We aimed to determine the performance of the BCID-FP in a multicenter clinical study. Blood culture samples collected at 10 United States sites and tested with BCID-FP at 4 sites were compared to the standard-of-care microbiological and biochemical techniques, fluorescence in situ hybridization using peptide nucleic acid probes (PNA-FISH) and matrix-assisted laser desorption ionization–time of flight mass spectrometry (MALDI-TOF MS). Discrepant results were analyzed by bi-directional PCR/sequencing of residual blood culture samples. A total of 866 clinical samples, 120 retrospectively and 21 prospectively collected, along with 725 contrived samples were evaluated. Sensitivity and specificity of detection of Candida species (C. albicans, C. auris, C. dubliniensis, C. famata, C. glabrata, C. guilliermondii, C. kefyr, C. krusei, C. lusitaniae, C. parapsilosis, and C. tropicalis) ranged from 97.1 to 100% and 99.8 to 100%, respectively. For the other organism targets, sensitivity and specificity were as follows: 100% each for Cryptococcus neoformans and C. gattii, 98.6% and 100% for Fusarium spp., and 96.2% and 99.9% for Rhodotorula spp., respectively. In 4 of the 141 clinical samples, the BCID-FP panel correctly identified an additional Candida species, undetected by standard-of-care methods. The BCID-FP panel offers a faster turnaround time for identification of fungal pathogens in positive blood cultures that may allow for earlier antifungal interventions and includes C. auris, a highly multidrug-resistant fungus.
format Online
Article
Text
id pubmed-7180249
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher American Society for Microbiology
record_format MEDLINE/PubMed
spelling pubmed-71802492020-04-27 Multicenter Evaluation of a PCR-Based Digital Microfluidics and Electrochemical Detection System for the Rapid Identification of 15 Fungal Pathogens Directly from Positive Blood Cultures Zhang, Sean X. Carroll, Karen C. Lewis, Shawna Totten, Marissa Mead, Peter Samuel, Linoj Steed, Lisa L. Nolte, Frederick S. Thornberg, Adam Reid, Jennifer L. Whitfield, Natalie N. Babady, N. Esther J Clin Microbiol Mycology Routine identification of fungal pathogens from positive blood cultures by culture-based methods can be time-consuming, delaying treatment with appropriate antifungal agents. The GenMark Dx ePlex investigational use only blood culture identification fungal pathogen panel (BCID-FP) rapidly detects 15 fungal targets simultaneously in blood culture samples positive for fungi by Gram staining. We aimed to determine the performance of the BCID-FP in a multicenter clinical study. Blood culture samples collected at 10 United States sites and tested with BCID-FP at 4 sites were compared to the standard-of-care microbiological and biochemical techniques, fluorescence in situ hybridization using peptide nucleic acid probes (PNA-FISH) and matrix-assisted laser desorption ionization–time of flight mass spectrometry (MALDI-TOF MS). Discrepant results were analyzed by bi-directional PCR/sequencing of residual blood culture samples. A total of 866 clinical samples, 120 retrospectively and 21 prospectively collected, along with 725 contrived samples were evaluated. Sensitivity and specificity of detection of Candida species (C. albicans, C. auris, C. dubliniensis, C. famata, C. glabrata, C. guilliermondii, C. kefyr, C. krusei, C. lusitaniae, C. parapsilosis, and C. tropicalis) ranged from 97.1 to 100% and 99.8 to 100%, respectively. For the other organism targets, sensitivity and specificity were as follows: 100% each for Cryptococcus neoformans and C. gattii, 98.6% and 100% for Fusarium spp., and 96.2% and 99.9% for Rhodotorula spp., respectively. In 4 of the 141 clinical samples, the BCID-FP panel correctly identified an additional Candida species, undetected by standard-of-care methods. The BCID-FP panel offers a faster turnaround time for identification of fungal pathogens in positive blood cultures that may allow for earlier antifungal interventions and includes C. auris, a highly multidrug-resistant fungus. American Society for Microbiology 2020-04-23 /pmc/articles/PMC7180249/ /pubmed/32075904 http://dx.doi.org/10.1128/JCM.02096-19 Text en Copyright © 2020 Zhang et al. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Mycology
Zhang, Sean X.
Carroll, Karen C.
Lewis, Shawna
Totten, Marissa
Mead, Peter
Samuel, Linoj
Steed, Lisa L.
Nolte, Frederick S.
Thornberg, Adam
Reid, Jennifer L.
Whitfield, Natalie N.
Babady, N. Esther
Multicenter Evaluation of a PCR-Based Digital Microfluidics and Electrochemical Detection System for the Rapid Identification of 15 Fungal Pathogens Directly from Positive Blood Cultures
title Multicenter Evaluation of a PCR-Based Digital Microfluidics and Electrochemical Detection System for the Rapid Identification of 15 Fungal Pathogens Directly from Positive Blood Cultures
title_full Multicenter Evaluation of a PCR-Based Digital Microfluidics and Electrochemical Detection System for the Rapid Identification of 15 Fungal Pathogens Directly from Positive Blood Cultures
title_fullStr Multicenter Evaluation of a PCR-Based Digital Microfluidics and Electrochemical Detection System for the Rapid Identification of 15 Fungal Pathogens Directly from Positive Blood Cultures
title_full_unstemmed Multicenter Evaluation of a PCR-Based Digital Microfluidics and Electrochemical Detection System for the Rapid Identification of 15 Fungal Pathogens Directly from Positive Blood Cultures
title_short Multicenter Evaluation of a PCR-Based Digital Microfluidics and Electrochemical Detection System for the Rapid Identification of 15 Fungal Pathogens Directly from Positive Blood Cultures
title_sort multicenter evaluation of a pcr-based digital microfluidics and electrochemical detection system for the rapid identification of 15 fungal pathogens directly from positive blood cultures
topic Mycology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7180249/
https://www.ncbi.nlm.nih.gov/pubmed/32075904
http://dx.doi.org/10.1128/JCM.02096-19
work_keys_str_mv AT zhangseanx multicenterevaluationofapcrbaseddigitalmicrofluidicsandelectrochemicaldetectionsystemfortherapididentificationof15fungalpathogensdirectlyfrompositivebloodcultures
AT carrollkarenc multicenterevaluationofapcrbaseddigitalmicrofluidicsandelectrochemicaldetectionsystemfortherapididentificationof15fungalpathogensdirectlyfrompositivebloodcultures
AT lewisshawna multicenterevaluationofapcrbaseddigitalmicrofluidicsandelectrochemicaldetectionsystemfortherapididentificationof15fungalpathogensdirectlyfrompositivebloodcultures
AT tottenmarissa multicenterevaluationofapcrbaseddigitalmicrofluidicsandelectrochemicaldetectionsystemfortherapididentificationof15fungalpathogensdirectlyfrompositivebloodcultures
AT meadpeter multicenterevaluationofapcrbaseddigitalmicrofluidicsandelectrochemicaldetectionsystemfortherapididentificationof15fungalpathogensdirectlyfrompositivebloodcultures
AT samuellinoj multicenterevaluationofapcrbaseddigitalmicrofluidicsandelectrochemicaldetectionsystemfortherapididentificationof15fungalpathogensdirectlyfrompositivebloodcultures
AT steedlisal multicenterevaluationofapcrbaseddigitalmicrofluidicsandelectrochemicaldetectionsystemfortherapididentificationof15fungalpathogensdirectlyfrompositivebloodcultures
AT noltefredericks multicenterevaluationofapcrbaseddigitalmicrofluidicsandelectrochemicaldetectionsystemfortherapididentificationof15fungalpathogensdirectlyfrompositivebloodcultures
AT thornbergadam multicenterevaluationofapcrbaseddigitalmicrofluidicsandelectrochemicaldetectionsystemfortherapididentificationof15fungalpathogensdirectlyfrompositivebloodcultures
AT reidjenniferl multicenterevaluationofapcrbaseddigitalmicrofluidicsandelectrochemicaldetectionsystemfortherapididentificationof15fungalpathogensdirectlyfrompositivebloodcultures
AT whitfieldnatalien multicenterevaluationofapcrbaseddigitalmicrofluidicsandelectrochemicaldetectionsystemfortherapididentificationof15fungalpathogensdirectlyfrompositivebloodcultures
AT babadynesther multicenterevaluationofapcrbaseddigitalmicrofluidicsandelectrochemicaldetectionsystemfortherapididentificationof15fungalpathogensdirectlyfrompositivebloodcultures