TY - JOUR
T1 - Increased prognostic accuracy of TBI when a brain electrical activity biomarker is added to loss of consciousness (LOC)
AU - Hack, Dallas
AU - Huff, J. Stephen
AU - Curley, Kenneth
AU - Naunheim, Roseanne
AU - Ghosh Dastidar, Samanwoy
AU - Prichep, Leslie S.
N1 - Funding Information:
The data used in this study was collected under support in part by a research contract from the U.S. Army, contract # W81XWH-14-C-1405, entitled, “Validation of Point-of-Care TBI Detection System for Head Injured Patients,”2 and by research grants from BrainScope Company, Inc. to the clinical sites. The authors wish to acknowledge the contributions of the research staff at the clinical sites for their efforts toward conducting of this study and the patients who volunteered to participate.
Publisher Copyright:
© 2017 Elsevier Inc.
PY - 2017/7
Y1 - 2017/7
N2 - Background Extremely high accuracy for predicting CT+ traumatic brain injury (TBI) using a quantitative EEG (QEEG) based multivariate classification algorithm was demonstrated in an independent validation trial, in Emergency Department (ED) patients, using an easy to use handheld device. This study compares the predictive power using that algorithm (which includes LOC and amnesia), to the predictive power of LOC alone or LOC plus traumatic amnesia. Participants ED patients 18–85 years presenting within 72 h of closed head injury, with GSC 12–15, were study candidates. 680 patients with known absence or presence of LOC were enrolled (145 CT + and 535 CT − patients). Methods 5–10 min of eyes closed EEG was acquired using the Ahead 300 handheld device, from frontal and frontotemporal regions. The same classification algorithm methodology was used for both the EEG based and the LOC based algorithms. Predictive power was evaluated using area under the ROC curve (AUC) and odds ratios. Results The QEEG based classification algorithm demonstrated significant improvement in predictive power compared with LOC alone, both in improved AUC (83% improvement) and odds ratio (increase from 4.65 to 16.22). Adding RGA and/or PTA to LOC was not improved over LOC alone. Conclusions Rapid triage of TBI relies on strong initial predictors. Addition of an electrophysiological based marker was shown to outperform report of LOC alone or LOC plus amnesia, in determining risk of an intracranial bleed. In addition, ease of use at point-of-care, non-invasive, and rapid result using such technology suggests significant value added to standard clinical prediction.
AB - Background Extremely high accuracy for predicting CT+ traumatic brain injury (TBI) using a quantitative EEG (QEEG) based multivariate classification algorithm was demonstrated in an independent validation trial, in Emergency Department (ED) patients, using an easy to use handheld device. This study compares the predictive power using that algorithm (which includes LOC and amnesia), to the predictive power of LOC alone or LOC plus traumatic amnesia. Participants ED patients 18–85 years presenting within 72 h of closed head injury, with GSC 12–15, were study candidates. 680 patients with known absence or presence of LOC were enrolled (145 CT + and 535 CT − patients). Methods 5–10 min of eyes closed EEG was acquired using the Ahead 300 handheld device, from frontal and frontotemporal regions. The same classification algorithm methodology was used for both the EEG based and the LOC based algorithms. Predictive power was evaluated using area under the ROC curve (AUC) and odds ratios. Results The QEEG based classification algorithm demonstrated significant improvement in predictive power compared with LOC alone, both in improved AUC (83% improvement) and odds ratio (increase from 4.65 to 16.22). Adding RGA and/or PTA to LOC was not improved over LOC alone. Conclusions Rapid triage of TBI relies on strong initial predictors. Addition of an electrophysiological based marker was shown to outperform report of LOC alone or LOC plus amnesia, in determining risk of an intracranial bleed. In addition, ease of use at point-of-care, non-invasive, and rapid result using such technology suggests significant value added to standard clinical prediction.
KW - EEG
KW - LOC
KW - Loss of consciousness
KW - TBI
KW - Traumatic amnesia
KW - Traumatic brain injury
UR - http://www.scopus.com/inward/record.url?scp=85014066041&partnerID=8YFLogxK
U2 - 10.1016/j.ajem.2017.01.060
DO - 10.1016/j.ajem.2017.01.060
M3 - Article
C2 - 28258840
AN - SCOPUS:85014066041
VL - 35
SP - 949
EP - 952
JO - American Journal of Emergency Medicine
JF - American Journal of Emergency Medicine
SN - 0735-6757
IS - 7
ER -