Evaluation of a Fully Automated Research Prototype for the Immediate Identification of Microorganisms from Positive Blood Cultures under Clinical Conditions

ABSTRACT A clinical laboratory evaluation of an intrinsic fluorescence spectroscopy (IFS)-based identification system paired to a BacT/Alert Virtuo microbial detection system (bioMérieux, Inc., Durham, NC) was performed to assess the potential for fully automated identification of positive blood cul...

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Autores principales:	Jay M. Hyman, John D. Walsh, Christopher Ronsick, Mark Wilson, Kevin C. Hazen, Larisa Borzhemskaya, John Link, Bradford Clay, Michael Ullery, Mirta Sanchez-Illan, Steven Rothenberg, Ron Robinson, Alex van Belkum, W. Michael Dunne
Formato:	article
Lenguaje:	EN
Publicado:	American Society for Microbiology 2016
Materias:	Microbiology QR1-502
Acceso en línea:	https://doaj.org/article/de07076e081544618e1810eba6c15268
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spelling	oai:doaj.org-article:de07076e081544618e1810eba6c152682021-11-15T15:41:40ZEvaluation of a Fully Automated Research Prototype for the Immediate Identification of Microorganisms from Positive Blood Cultures under Clinical Conditions10.1128/mBio.00491-162150-7511https://doaj.org/article/de07076e081544618e1810eba6c152682016-05-01T00:00:00Zhttps://journals.asm.org/doi/10.1128/mBio.00491-16https://doaj.org/toc/2150-7511ABSTRACT A clinical laboratory evaluation of an intrinsic fluorescence spectroscopy (IFS)-based identification system paired to a BacT/Alert Virtuo microbial detection system (bioMérieux, Inc., Durham, NC) was performed to assess the potential for fully automated identification of positive blood cultures. The prototype IFS system incorporates a novel method combining a simple microbial purification procedure with rapid in situ identification via spectroscopy. Results were available within 15 min of a bottle signaling positive and required no manual intervention. Among cultures positive for organisms contained within the database and producing acceptable spectra, 75 of 88 (85.2%) and 79 of 88 (89.8%) were correctly identified to the species and genus level, respectively. These results are similar to the performance of existing rapid methods. IMPORTANCE A fully automated research platform was developed to identify microbial growth from positive blood cultures in <15 min. Because of the automated format, results can be generated during all shifts, with or without staffing, which in turn could promote more timely administration of target antimicrobial therapy.Jay M. HymanJohn D. WalshChristopher RonsickMark WilsonKevin C. HazenLarisa BorzhemskayaJohn LinkBradford ClayMichael UlleryMirta Sanchez-IllanSteven RothenbergRon RobinsonAlex van BelkumW. Michael DunneAmerican Society for MicrobiologyarticleMicrobiologyQR1-502ENmBio, Vol 7, Iss 2 (2016)
institution	DOAJ
collection	DOAJ
language	EN
topic	Microbiology QR1-502
spellingShingle	Microbiology QR1-502 Jay M. Hyman John D. Walsh Christopher Ronsick Mark Wilson Kevin C. Hazen Larisa Borzhemskaya John Link Bradford Clay Michael Ullery Mirta Sanchez-Illan Steven Rothenberg Ron Robinson Alex van Belkum W. Michael Dunne Evaluation of a Fully Automated Research Prototype for the Immediate Identification of Microorganisms from Positive Blood Cultures under Clinical Conditions
description	ABSTRACT A clinical laboratory evaluation of an intrinsic fluorescence spectroscopy (IFS)-based identification system paired to a BacT/Alert Virtuo microbial detection system (bioMérieux, Inc., Durham, NC) was performed to assess the potential for fully automated identification of positive blood cultures. The prototype IFS system incorporates a novel method combining a simple microbial purification procedure with rapid in situ identification via spectroscopy. Results were available within 15 min of a bottle signaling positive and required no manual intervention. Among cultures positive for organisms contained within the database and producing acceptable spectra, 75 of 88 (85.2%) and 79 of 88 (89.8%) were correctly identified to the species and genus level, respectively. These results are similar to the performance of existing rapid methods. IMPORTANCE A fully automated research platform was developed to identify microbial growth from positive blood cultures in <15 min. Because of the automated format, results can be generated during all shifts, with or without staffing, which in turn could promote more timely administration of target antimicrobial therapy.
format	article
author	Jay M. Hyman John D. Walsh Christopher Ronsick Mark Wilson Kevin C. Hazen Larisa Borzhemskaya John Link Bradford Clay Michael Ullery Mirta Sanchez-Illan Steven Rothenberg Ron Robinson Alex van Belkum W. Michael Dunne
author_facet	Jay M. Hyman John D. Walsh Christopher Ronsick Mark Wilson Kevin C. Hazen Larisa Borzhemskaya John Link Bradford Clay Michael Ullery Mirta Sanchez-Illan Steven Rothenberg Ron Robinson Alex van Belkum W. Michael Dunne
author_sort	Jay M. Hyman
title	Evaluation of a Fully Automated Research Prototype for the Immediate Identification of Microorganisms from Positive Blood Cultures under Clinical Conditions
title_short	Evaluation of a Fully Automated Research Prototype for the Immediate Identification of Microorganisms from Positive Blood Cultures under Clinical Conditions
title_full	Evaluation of a Fully Automated Research Prototype for the Immediate Identification of Microorganisms from Positive Blood Cultures under Clinical Conditions
title_fullStr	Evaluation of a Fully Automated Research Prototype for the Immediate Identification of Microorganisms from Positive Blood Cultures under Clinical Conditions
title_full_unstemmed	Evaluation of a Fully Automated Research Prototype for the Immediate Identification of Microorganisms from Positive Blood Cultures under Clinical Conditions
title_sort	evaluation of a fully automated research prototype for the immediate identification of microorganisms from positive blood cultures under clinical conditions
publisher	American Society for Microbiology
publishDate	2016
url	https://doaj.org/article/de07076e081544618e1810eba6c15268
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Evaluation of a Fully Automated Research Prototype for the Immediate Identification of Microorganisms from Positive Blood Cultures under Clinical Conditions

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