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Diagnostic accuracy of tablet-based software for the detection of concussion

Despite the high prevalence of traumatic brain injuries (TBI), there are few rapid and straightforward tests to improve its assessment. To this end, we developed a tablet-based software battery ("BrainCheck") for concussion detection that is well suited to sports, emergency department, and...

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Autores principales: Yang, Suosuo, Flores, Benjamin, Magal, Rotem, Harris, Kyrsti, Gross, Jonathan, Ewbank, Amy, Davenport, Sasha, Ormachea, Pablo, Nasser, Waleed, Le, Weidong, Peacock, W. Frank, Katz, Yael, Eagleman, David M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5501428/
https://www.ncbi.nlm.nih.gov/pubmed/28686616
http://dx.doi.org/10.1371/journal.pone.0179352
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author Yang, Suosuo
Flores, Benjamin
Magal, Rotem
Harris, Kyrsti
Gross, Jonathan
Ewbank, Amy
Davenport, Sasha
Ormachea, Pablo
Nasser, Waleed
Le, Weidong
Peacock, W. Frank
Katz, Yael
Eagleman, David M.
author_facet Yang, Suosuo
Flores, Benjamin
Magal, Rotem
Harris, Kyrsti
Gross, Jonathan
Ewbank, Amy
Davenport, Sasha
Ormachea, Pablo
Nasser, Waleed
Le, Weidong
Peacock, W. Frank
Katz, Yael
Eagleman, David M.
author_sort Yang, Suosuo
collection PubMed
description Despite the high prevalence of traumatic brain injuries (TBI), there are few rapid and straightforward tests to improve its assessment. To this end, we developed a tablet-based software battery ("BrainCheck") for concussion detection that is well suited to sports, emergency department, and clinical settings. This article is a study of the diagnostic accuracy of BrainCheck. We administered BrainCheck to 30 TBI patients and 30 pain-matched controls at a hospital Emergency Department (ED), and 538 healthy individuals at 10 control test sites. We compared the results of the tablet-based assessment against physician diagnoses derived from brain scans, clinical examination, and the SCAT3 test, a traditional measure of TBI. We found consistent distributions of normative data and high test-retest reliability. Based on these assessments, we defined a composite score that distinguishes TBI from non-TBI individuals with high sensitivity (83%) and specificity (87%). We conclude that our testing application provides a rapid, portable testing method for TBI.
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spelling pubmed-55014282017-07-25 Diagnostic accuracy of tablet-based software for the detection of concussion Yang, Suosuo Flores, Benjamin Magal, Rotem Harris, Kyrsti Gross, Jonathan Ewbank, Amy Davenport, Sasha Ormachea, Pablo Nasser, Waleed Le, Weidong Peacock, W. Frank Katz, Yael Eagleman, David M. PLoS One Research Article Despite the high prevalence of traumatic brain injuries (TBI), there are few rapid and straightforward tests to improve its assessment. To this end, we developed a tablet-based software battery ("BrainCheck") for concussion detection that is well suited to sports, emergency department, and clinical settings. This article is a study of the diagnostic accuracy of BrainCheck. We administered BrainCheck to 30 TBI patients and 30 pain-matched controls at a hospital Emergency Department (ED), and 538 healthy individuals at 10 control test sites. We compared the results of the tablet-based assessment against physician diagnoses derived from brain scans, clinical examination, and the SCAT3 test, a traditional measure of TBI. We found consistent distributions of normative data and high test-retest reliability. Based on these assessments, we defined a composite score that distinguishes TBI from non-TBI individuals with high sensitivity (83%) and specificity (87%). We conclude that our testing application provides a rapid, portable testing method for TBI. Public Library of Science 2017-07-07 /pmc/articles/PMC5501428/ /pubmed/28686616 http://dx.doi.org/10.1371/journal.pone.0179352 Text en © 2017 Yang et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Yang, Suosuo
Flores, Benjamin
Magal, Rotem
Harris, Kyrsti
Gross, Jonathan
Ewbank, Amy
Davenport, Sasha
Ormachea, Pablo
Nasser, Waleed
Le, Weidong
Peacock, W. Frank
Katz, Yael
Eagleman, David M.
Diagnostic accuracy of tablet-based software for the detection of concussion
title Diagnostic accuracy of tablet-based software for the detection of concussion
title_full Diagnostic accuracy of tablet-based software for the detection of concussion
title_fullStr Diagnostic accuracy of tablet-based software for the detection of concussion
title_full_unstemmed Diagnostic accuracy of tablet-based software for the detection of concussion
title_short Diagnostic accuracy of tablet-based software for the detection of concussion
title_sort diagnostic accuracy of tablet-based software for the detection of concussion
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5501428/
https://www.ncbi.nlm.nih.gov/pubmed/28686616
http://dx.doi.org/10.1371/journal.pone.0179352
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