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Multicenter Evaluation of the Accelerate PhenoTest BC Kit for Rapid Identification and Phenotypic Antimicrobial Susceptibility Testing Using Morphokinetic Cellular Analysis
We describe results from a multicenter study evaluating the Accelerate Pheno system, a first of its kind diagnostic system that rapidly identifies common bloodstream pathogens from positive blood cultures within 90 min and determines bacterial phenotypic antimicrobial susceptibility testing (AST) re...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Microbiology
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5869823/ https://www.ncbi.nlm.nih.gov/pubmed/29305546 http://dx.doi.org/10.1128/JCM.01329-17 |
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author | Pancholi, Preeti Carroll, Karen C. Buchan, Blake W. Chan, Raymond C. Dhiman, Neelam Ford, Bradley Granato, Paul A. Harrington, Amanda T. Hernandez, Diana R. Humphries, Romney M. Jindra, Matthew R. Ledeboer, Nathan A. Miller, Shelley A. Mochon, A. Brian Morgan, Margie A. Patel, Robin Schreckenberger, Paul C. Stamper, Paul D. Simner, Patricia J. Tucci, Nancy E. Zimmerman, Cynthia Wolk, Donna M. |
author_facet | Pancholi, Preeti Carroll, Karen C. Buchan, Blake W. Chan, Raymond C. Dhiman, Neelam Ford, Bradley Granato, Paul A. Harrington, Amanda T. Hernandez, Diana R. Humphries, Romney M. Jindra, Matthew R. Ledeboer, Nathan A. Miller, Shelley A. Mochon, A. Brian Morgan, Margie A. Patel, Robin Schreckenberger, Paul C. Stamper, Paul D. Simner, Patricia J. Tucci, Nancy E. Zimmerman, Cynthia Wolk, Donna M. |
author_sort | Pancholi, Preeti |
collection | PubMed |
description | We describe results from a multicenter study evaluating the Accelerate Pheno system, a first of its kind diagnostic system that rapidly identifies common bloodstream pathogens from positive blood cultures within 90 min and determines bacterial phenotypic antimicrobial susceptibility testing (AST) results within ∼7 h. A combination of fresh clinical and seeded blood cultures were tested, and results from the Accelerate Pheno system were compared to Vitek 2 results for identification (ID) and broth microdilution or disk diffusion for AST. The Accelerate Pheno system accurately identified 14 common bacterial pathogens and two Candida spp. with sensitivities ranging from 94.6 to 100%. Of fresh positive blood cultures, 89% received a monomicrobial call with a positive predictive value of 97.3%. Six common Gram-positive cocci were evaluated for ID. Five were tested against eight antibiotics, two resistance phenotypes (methicillin-resistant Staphylococcus aureus and Staphylococcus spp. [MRSA/MRS]), and inducible clindamycin resistance (MLSb). From the 4,142 AST results, the overall essential agreement (EA) and categorical agreement (CA) were 97.6% and 97.9%, respectively. Overall very major error (VME), major error (ME), and minor error (mE) rates were 1.0%, 0.7%, and 1.3%, respectively. Eight species of Gram-negative rods were evaluated against 15 antibiotics. From the 6,331 AST results, overall EA and CA were 95.4% and 94.3%, respectively. Overall VME, ME, and mE rates were 0.5%, 0.9%, and 4.8%, respectively. The Accelerate Pheno system has the unique ability to identify and provide phenotypic MIC and categorical AST results in a few hours directly from positive blood culture bottles and support accurate antimicrobial adjustment. |
format | Online Article Text |
id | pubmed-5869823 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | American Society for Microbiology |
record_format | MEDLINE/PubMed |
spelling | pubmed-58698232018-04-06 Multicenter Evaluation of the Accelerate PhenoTest BC Kit for Rapid Identification and Phenotypic Antimicrobial Susceptibility Testing Using Morphokinetic Cellular Analysis Pancholi, Preeti Carroll, Karen C. Buchan, Blake W. Chan, Raymond C. Dhiman, Neelam Ford, Bradley Granato, Paul A. Harrington, Amanda T. Hernandez, Diana R. Humphries, Romney M. Jindra, Matthew R. Ledeboer, Nathan A. Miller, Shelley A. Mochon, A. Brian Morgan, Margie A. Patel, Robin Schreckenberger, Paul C. Stamper, Paul D. Simner, Patricia J. Tucci, Nancy E. Zimmerman, Cynthia Wolk, Donna M. J Clin Microbiol Bacteriology We describe results from a multicenter study evaluating the Accelerate Pheno system, a first of its kind diagnostic system that rapidly identifies common bloodstream pathogens from positive blood cultures within 90 min and determines bacterial phenotypic antimicrobial susceptibility testing (AST) results within ∼7 h. A combination of fresh clinical and seeded blood cultures were tested, and results from the Accelerate Pheno system were compared to Vitek 2 results for identification (ID) and broth microdilution or disk diffusion for AST. The Accelerate Pheno system accurately identified 14 common bacterial pathogens and two Candida spp. with sensitivities ranging from 94.6 to 100%. Of fresh positive blood cultures, 89% received a monomicrobial call with a positive predictive value of 97.3%. Six common Gram-positive cocci were evaluated for ID. Five were tested against eight antibiotics, two resistance phenotypes (methicillin-resistant Staphylococcus aureus and Staphylococcus spp. [MRSA/MRS]), and inducible clindamycin resistance (MLSb). From the 4,142 AST results, the overall essential agreement (EA) and categorical agreement (CA) were 97.6% and 97.9%, respectively. Overall very major error (VME), major error (ME), and minor error (mE) rates were 1.0%, 0.7%, and 1.3%, respectively. Eight species of Gram-negative rods were evaluated against 15 antibiotics. From the 6,331 AST results, overall EA and CA were 95.4% and 94.3%, respectively. Overall VME, ME, and mE rates were 0.5%, 0.9%, and 4.8%, respectively. The Accelerate Pheno system has the unique ability to identify and provide phenotypic MIC and categorical AST results in a few hours directly from positive blood culture bottles and support accurate antimicrobial adjustment. American Society for Microbiology 2018-03-26 /pmc/articles/PMC5869823/ /pubmed/29305546 http://dx.doi.org/10.1128/JCM.01329-17 Text en Copyright © 2018 Pancholi 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 | Bacteriology Pancholi, Preeti Carroll, Karen C. Buchan, Blake W. Chan, Raymond C. Dhiman, Neelam Ford, Bradley Granato, Paul A. Harrington, Amanda T. Hernandez, Diana R. Humphries, Romney M. Jindra, Matthew R. Ledeboer, Nathan A. Miller, Shelley A. Mochon, A. Brian Morgan, Margie A. Patel, Robin Schreckenberger, Paul C. Stamper, Paul D. Simner, Patricia J. Tucci, Nancy E. Zimmerman, Cynthia Wolk, Donna M. Multicenter Evaluation of the Accelerate PhenoTest BC Kit for Rapid Identification and Phenotypic Antimicrobial Susceptibility Testing Using Morphokinetic Cellular Analysis |
title | Multicenter Evaluation of the Accelerate PhenoTest BC Kit for Rapid Identification and Phenotypic Antimicrobial Susceptibility Testing Using Morphokinetic Cellular Analysis |
title_full | Multicenter Evaluation of the Accelerate PhenoTest BC Kit for Rapid Identification and Phenotypic Antimicrobial Susceptibility Testing Using Morphokinetic Cellular Analysis |
title_fullStr | Multicenter Evaluation of the Accelerate PhenoTest BC Kit for Rapid Identification and Phenotypic Antimicrobial Susceptibility Testing Using Morphokinetic Cellular Analysis |
title_full_unstemmed | Multicenter Evaluation of the Accelerate PhenoTest BC Kit for Rapid Identification and Phenotypic Antimicrobial Susceptibility Testing Using Morphokinetic Cellular Analysis |
title_short | Multicenter Evaluation of the Accelerate PhenoTest BC Kit for Rapid Identification and Phenotypic Antimicrobial Susceptibility Testing Using Morphokinetic Cellular Analysis |
title_sort | multicenter evaluation of the accelerate phenotest bc kit for rapid identification and phenotypic antimicrobial susceptibility testing using morphokinetic cellular analysis |
topic | Bacteriology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5869823/ https://www.ncbi.nlm.nih.gov/pubmed/29305546 http://dx.doi.org/10.1128/JCM.01329-17 |
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