Cargando…
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...
Autores principales: | , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1783248780450070528 |
---|---|
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. |
format | Online Article Text |
id | pubmed-5501428 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT yangsuosuo diagnosticaccuracyoftabletbasedsoftwareforthedetectionofconcussion AT floresbenjamin diagnosticaccuracyoftabletbasedsoftwareforthedetectionofconcussion AT magalrotem diagnosticaccuracyoftabletbasedsoftwareforthedetectionofconcussion AT harriskyrsti diagnosticaccuracyoftabletbasedsoftwareforthedetectionofconcussion AT grossjonathan diagnosticaccuracyoftabletbasedsoftwareforthedetectionofconcussion AT ewbankamy diagnosticaccuracyoftabletbasedsoftwareforthedetectionofconcussion AT davenportsasha diagnosticaccuracyoftabletbasedsoftwareforthedetectionofconcussion AT ormacheapablo diagnosticaccuracyoftabletbasedsoftwareforthedetectionofconcussion AT nasserwaleed diagnosticaccuracyoftabletbasedsoftwareforthedetectionofconcussion AT leweidong diagnosticaccuracyoftabletbasedsoftwareforthedetectionofconcussion AT peacockwfrank diagnosticaccuracyoftabletbasedsoftwareforthedetectionofconcussion AT katzyael diagnosticaccuracyoftabletbasedsoftwareforthedetectionofconcussion AT eaglemandavidm diagnosticaccuracyoftabletbasedsoftwareforthedetectionofconcussion |