scholarly journals Is the shock index based classification of hypovolemic shock applicable in multiple injured patients with severe traumatic brain injury?—an analysis of the TraumaRegister DGU®

2016 ◽  
Vol 24 (1) ◽  
Author(s):  
Matthias Fröhlich ◽  
◽  
Arne Driessen ◽  
Andreas Böhmer ◽  
Ulrike Nienaber ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Severe Traumatic Brain Injury ◽  
Hypovolemic Shock ◽  
Shock Index ◽  
Multiple Injured ◽  
Injured Patients ◽  
Multiple Injured Patients

scholarly journals Diverse Effects of Hypothermia Therapy in Patients with Severe Traumatic Brain Injury Based on the Computed Tomography Classification of the Traumatic Coma Data Bank

2015 ◽  
Vol 32 (5) ◽  
pp. 353-358 ◽  
Author(s):  
Eiichi Suehiro ◽  
Hiroyasu Koizumi ◽  
Hirosuke Fujisawa ◽  
Motoki Fujita ◽  
Tadashi Kaneko ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Severe Traumatic Brain Injury ◽  
Data Bank ◽  
Traumatic Coma

Classification and Prediction of Outcome in Traumatic Brain Injury Based on Computed Tomographic Imaging

2009 ◽  
Vol 37 (4) ◽  
pp. 983-995 ◽  
Author(s):  
GW Zhu ◽  
F Wang ◽  
WG Liu
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Foreign Bodies ◽  
Intraventricular Haemorrhage ◽  
Computed Tomographic ◽  
Morphological Criteria ◽  
Current Classification ◽  
Diffuse Injury ◽  
Injured Patients

Traumatic brain injury (TBI) is a common and potentially devastating problem. The classification of TBI is necessary for accurate diagnosis and the prediction of outcomes. The increased use of early sedation, intubation and ventilation in more severely injured patients has decreased the value of the Glasgow Coma Scale for the purposes of classification. An alternative is the classification of TBI according to morphological criteria based on computed tomography (CT) investigations. This article reviews the current classification and prediction of outcomes in TBI based on CT imaging. Classifications based on the presence or absence of intracranial local lesions, diffuse injury, signs of subarachnoid or intraventricular haemorrhage and fractures or foreign bodies are considered, and their predictive value is discussed. Future studies should address the complicated issue of how optimally to combine CT characteristics for prognostic purposes and how to improve on currently used CT classifications to predict outcomes more accurately.

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