Prognostic value of various intracranial pathologies in traumatic brain injury

2011 ◽  
Vol 38 (1) ◽  
pp. 25-32 ◽  
Author(s):  
M. M. Lesko ◽  
O. Bouamra ◽  
S. O’Brien ◽  
F. Lecky
2020 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Jernej Avsenik ◽  
Fajko F. Bajrović ◽  
Primož Gradišek ◽  
Nataša Kejžar ◽  
Katarina Šurlan Popović

2019 ◽  
Vol 47 (6) ◽  
pp. e522-e529 ◽  
Author(s):  
Michèle Shemilt ◽  
Amélie Boutin ◽  
François Lauzier ◽  
Ryan Zarychanski ◽  
Lynne Moore ◽  
...  

2017 ◽  
Vol 49 (4) ◽  
pp. 248-257 ◽  
Author(s):  
Antti Tolonen ◽  
Mika O. K. Särkelä ◽  
Riikka S. K. Takala ◽  
Ari Katila ◽  
Janek Frantzén ◽  
...  

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.


Author(s):  
Ana Rodríguez-Rodríguez ◽  
Juan José Egea-Guerrero ◽  
Ángel Vilches-Arenas ◽  
Elena Gordillo-Escobar ◽  
Zaida Ruiz de Azúa-López ◽  
...  

2012 ◽  
Vol 29 (7) ◽  
pp. 1292-1305 ◽  
Author(s):  
Joshua Betz ◽  
Jiachen Zhuo ◽  
Anindya Roy ◽  
Kathirkamanthan Shanmuganathan ◽  
Rao P. Gullapalli

2015 ◽  
Vol 157 (8) ◽  
pp. 1323-1328 ◽  
Author(s):  
Amrit Saika ◽  
Sonia Bansal ◽  
Mariamma Philip ◽  
Bhagavatula Indira Devi ◽  
Dhaval P. Shukla

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