A1 Journal article – refereed
Quantitative EEG parameters for prediction of outcome in severe traumatic brain injury: Development study




List of Authors: Antti Tolonen, Mika O. K. Särkelä, Riikka S. K. Takala, Ari Katila, Janek Frantzén, Jussi P. Posti, Markus Müller, Mark van Gils, Olli Tenovuo
Publisher: Sage Publications, Inc.
Publication year: 2018
Journal: Clinical EEG and Neuroscience
Volume number: 49
Issue number: 4
Number of pages: 10
ISSN: 1550-0594
eISSN: 2169-5202

Abstract

Monitoring of quantitative EEG (QEEG) parameters in the intensive care unit (ICU) can aid in the treatment of traumatic brain injury (TBI) patients by complementing visual EEG review done by an expert. We performed an explorative study investigating the prognostic value of 59 QEEG parameters in predicting the outcome of patients with severe TBI. Continuous EEG recordings were done on 28 patients with severe TBI in the ICU of Turku University Hospital. We computed a set of QEEG parameters for each patient, and correlated these to patient outcome, measured by dichotomized Glasgow Outcome Scale (GOS) at a follow-up visit between 6 and 12 months, using area under receiver operating characteristic curve (AUC) as a nonlinear correlation measure. For 17 of the 59 QEEG parameters (28.8%), the AUC differed significantly from 0.5, most of these parameters measured EEG power or variability. The best QEEG parameters for outcome prediction were alpha power (AUC = 0.87, P < .01) and variability of the relative fast theta power (AUC = 0.84, P < .01). The results of this study indicate that QEEG parameters provide useful information for predicting outcome in severe TBI. Novel QEEG parameters with potential in outcome prediction were found, the prognostic value of these parameters should be confirmed in later studies. The results also provide further evidence of the usefulness of parameters studied in preexisting studies.


Last updated on 2019-16-07 at 18:06