TY - JOUR
T1 - Diagnostic accuracy of tablet-based software for the detection of concussion
AU - Yang, Suosuo
AU - Flores, Benjamin
AU - Magal, Rotem
AU - Harris, Kyrsti
AU - Gross, Jonathan
AU - Ewbank, Amy
AU - Davenport, Sasha
AU - Ormachea, Pablo
AU - Nasser, Waleed
AU - Le, Weidong
AU - Peacock, W. Frank
AU - Katz, Yael
AU - Eagleman, David M.
PY - 2017/7
Y1 - 2017/7
N2 - 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.
AB - 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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U2 - 10.1371/journal.pone.0179352
DO - 10.1371/journal.pone.0179352
M3 - Article
C2 - 28686616
AN - SCOPUS:85021856560
VL - 12
JO - PLoS ONE
JF - PLoS ONE
SN - 1932-6203
IS - 7
M1 - e0179352
ER -