Multicenter Evaluation of the Accelerate PhenoTest BC Kit for Rapid Identification and Phenotypic Antimicrobial Susceptibility Testing Using Morphokinetic Cellular Analysis

Preeti Pancholi; Karen C Carroll; Blake W Buchan; Raymond C Chan; Neelam Dhiman; Bradley Ford; Paul A Granato; Amanda T Harrington; Diana R Hernandez; Romney M Humphries; Matthew R Jindra; Nathan A Ledeboer; Shelley A Miller; A Brian Mochon; Margie A Morgan; Robin Patel; Paul C Schreckenberger; Paul D Stamper; Patricia J Simner; Nancy E Tucci; Cynthia Zimmerman; Donna M Wolk

doi:10.1128/JCM.01329-17

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Multicenter Evaluation of the Accelerate PhenoTest BC Kit for Rapid Identification and Phenotypic Antimicrobial Susceptibility Testing Using Morphokinetic Cellular Analysis

Journal article

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Peer reviewed

Multicenter Evaluation of the Accelerate PhenoTest BC Kit for Rapid Identification and Phenotypic Antimicrobial Susceptibility Testing Using Morphokinetic Cellular Analysis

Preeti Pancholi, Karen C Carroll, Blake W Buchan, Raymond C Chan, Neelam Dhiman, Bradley Ford, Paul A Granato, Amanda T Harrington, Diana R Hernandez, Romney M Humphries, …

Journal of clinical microbiology, Vol.56(4), e01329-17

04/2018

DOI: 10.1128/JCM.01329-17

PMCID: PMC5869823

PMID: 29305546

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Abstract

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 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 and 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.

Phenotype

Disk Diffusion Antimicrobial Tests - methods

Gram-Positive Bacteria - drug effects

Humans

Methicillin-Resistant Staphylococcus aureus - drug effects

Gram-Positive Bacterial Infections - diagnosis

Gram-Positive Bacterial Infections - blood

Reagent Kits, Diagnostic - statistics & numerical data

Gram-Negative Bacterial Infections - microbiology

Blood Culture - instrumentation

Gram-Negative Bacteria - drug effects

Blood Culture - methods

Gram-Positive Bacterial Infections - microbiology

Gram-Negative Bacterial Infections - blood

Anti-Bacterial Agents - pharmacology

Gram-Negative Bacterial Infections - diagnosis

Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization

Microbial Sensitivity Tests - methods

Details

Title: Subtitle: Multicenter Evaluation of the Accelerate PhenoTest BC Kit for Rapid Identification and Phenotypic Antimicrobial Susceptibility Testing Using Morphokinetic Cellular Analysis
Creators: Preeti Pancholi - The Ohio State University Wexner Medical Center, Columbus, Ohio, USA Preeti.Pancholi@osumc.edu
Karen C Carroll - The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
Blake W Buchan - Medical College of Wisconsin, Milwaukee, Wisconsin, USA
Raymond C Chan - Cedars-Sinai Medical Center, Los Angeles, California, USA
Neelam Dhiman - Med Fusion, Lewisville, Texas, USA
Bradley Ford - University of Iowa Hospitals and Clinics, Iowa City, Iowa, USA
Paul A Granato - Laboratory Alliance of Central New York, Liverpool, New York, USA
Amanda T Harrington - Loyola University Medical Center, Maywood, Illinois, USA
Diana R Hernandez - Geisinger, Danville, Pennsylvania, USA
Romney M Humphries - UCLA, Los Angeles, California, USA
Matthew R Jindra - The Ohio State University Wexner Medical Center, Columbus, Ohio, USA
Nathan A Ledeboer - Medical College of Wisconsin, Milwaukee, Wisconsin, USA
Shelley A Miller - UCLA, Los Angeles, California, USA
A Brian Mochon - Banner Gateway Medical Center, Gilbert, Arizona, USA
Margie A Morgan - Cedars-Sinai Medical Center, Los Angeles, California, USA
Robin Patel - Mayo Clinic, Rochester, Minnesota, USA
Paul C Schreckenberger - Loyola University Medical Center, Maywood, Illinois, USA
Paul D Stamper - MRIGlobal, Gaithersburg, Maryland, USA
Patricia J Simner - The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
Nancy E Tucci - Laboratory Alliance of Central New York, Liverpool, New York, USA
Cynthia Zimmerman - MRIGlobal, Gaithersburg, Maryland, USA
Donna M Wolk - Geisinger, Danville, Pennsylvania, USA
Resource Type: Journal article
Publication Details: Journal of clinical microbiology, Vol.56(4), e01329-17
DOI: 10.1128/JCM.01329-17
PMID: 29305546
PMCID: PMC5869823
NLM abbreviation: J Clin Microbiol
ISSN: 0095-1137
eISSN: 1098-660X
Publisher: United States
Language: English
Date published: 04/2018
Academic Unit: Pathology
Record Identifier: 9984047635402771

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