Integrating Human and Non-Human Primate Data to Estimate Human Tolerances for Traumatic Brain Injury

2021 ◽  
Author(s):  
Taotao Wu ◽  
Fusako Sato ◽  
Jacobo Antona-Makoshi ◽  
Lee Gabler ◽  
J. Sebastian Giudice ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Human Brain ◽  
Injury Risk ◽  
Motor Vehicle ◽  
Tissue Level ◽  
Complete Characterization ◽  
Crash Data ◽  
Injury Tolerance ◽  
Human Primate

Abstract Traumatic brain injury (TBI) contributes to a significant portion of the injuries resulting from motor vehicle crashes, falls, and sports collisions. The development of advanced countermeasures to mitigate these injuries requires a complete understanding of the tolerance of the human brain to injury. In this study, we developed a new method to establish human injury tolerance levels using an integrated database of reconstructed football impacts, sub-injurious human volunteer data, and non-human primate data. The human tolerance levels were analyzed using tissue-level metrics determined using harmonized species-specific finite element brain models. Kinematics-based metrics involving complete characterization of angular motion (e.g., DAMAGE) showed better power of predicting tissue-level deformation in a variety of impact conditions and were subsequently used to characterize injury tolerance. The proposed human brain tolerances for mild and severe TBI were estimated and presented in the form of injury risk curves based on selected tissue-level and kinematics-based injury metrics. The application of the estimated injury tolerances was finally demonstrated using real-world automotive crash data.

scholarly journals Analysis of patients with spinal cord trauma associated with traumatic brain injury

2014 ◽  
Vol 13 (4) ◽  
pp. 302-305 ◽  
Author(s):  
João Simão de Melo Neto ◽  
Waldir Antônio Tognola ◽  
Antonio Ronaldo Spotti ◽  
Dionei Freitas de Morais
Keyword(s):  
Risk Factors ◽  
Traumatic Brain Injury ◽  
Spinal Cord ◽  
Brain Injury ◽  
Injury Risk ◽  
Motor Vehicle ◽  
Motor Vehicle Accidents ◽  
Vehicle Accidents ◽  
Risk Of Death ◽  
Cord Injury

Objective: Characterize victims of spinal cord injury (SCI) associated with traumatic brain injury (TBI) and risk factors. Methods: Study conducted with 52 victims of SCI associated with TBI. The variables studied were: sex; age; marital status; occupation; educational level; religion; etiology and the lesion area; neurological condition by the ASIA scale; associated injuries and potential risk factors. Results: The male (85%), aged between 21-30 years (25%), civil status stable union (56%), low level of education (69%) and the Roman Catholic religion (77%) presented the greater number of victims. Motor vehicle accidents (58%) were the main etiology. The cervical segment had higher injury risk (RR=3.48, p<0.0001). The neurological status ASIA-E (52%), the syndromic neck pain (35%) and the rate of mild TBI (65%) were the most frequent. Complications occurred in 13 patients with increased frequency of pneumonia (62%). The length of hospital stay was significantly higher (20±28 days) and 17% of patients died. Men (RR=2.14, p=0.028) and individuals exposed to motor vehicle accidents (RR=1.91, p=0.022) showed a higher risk of these lesions concurrently. Moreover, these patients had 2.48 (p<0.01) higher risk of death than victims of SCI alone. Conclusion: The SCI associated with TBI was more frequent in men, young adults, and individuals exposed to motor vehicle accidents. The cervical spine is more likely to be affected. Furthermore, the length of hospitalization is significantly higher and the subjects analyzed have higher risk of death.

scholarly journals Traumatic Brain Injury Caused by Motor Vehicle Collision and Alcoholism in Piauí

2016 ◽  
Vol 37 (03) ◽  
pp. 174-181
Author(s):  
Benjamim Vale ◽  
Juçara Castro ◽  
Marx Araújo ◽  
Herb Morais ◽  
Lívio Macêdo
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Motor Vehicle ◽  
Care Service ◽  
Diffuse Axonal Injury ◽  
Total Sample ◽  
Motor Vehicle Collision ◽  
Alcoholic Beverages ◽  
Trauma Patients ◽  
Vehicle Collision

Objectives To determine the relationship between alcohol consumption and the incidence of traumatic brain injury (TBI) with diffuse axonal injury (DAI), determining these indices, checking acquired comorbidities and characterizing the patients by gender, age and race/color, as well as describing the characteristics of the motor vehicle collision (vehicle, period of the day, day of the week and site) in people admitted to an emergency hospital in the city of Teresina, in the state of Piauí, Brazil. Methods We have analyzed the data contained in the medical records of patients admitted with a history of motor vehicle collision and severe TBI in intensive care units, based on the forms provided by the Mobile Emergency Care Service (SAMU, in the Portuguese acronym) in the period between February 28 and November 28, 2013. Results In the period covered by the present study, 200 individuals were analyzed, and 54 (27%) had consumed alcohol; of these 11 had DAI. Of the total sample, 17% (34) presented DAI, however, with unknown data regarding the consumption of alcoholic beverages. Conclusion Considering the data, we observed that the profile of the head trauma patients are brown men, mostly (53.5%) aged between 15 and 30 years. The collisions occurred mostly on weekends and at night (55%), and 89.5% of the crashes involved motorcycles.

Mild traumatic brain injury from motor vehicle accidents: Factors associated with return to work

1999 ◽  
Vol 80 (4) ◽  
pp. 392-398 ◽  
Author(s):  
Carol F. Ruffolo ◽  
Judith F. Friedland ◽  
Deirdre R. Dawson ◽  
Angela Colantonio ◽  
Peter H. Lindsay
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Return To Work ◽  
Mild Traumatic Brain Injury ◽  
Motor Vehicle ◽  
Motor Vehicle Accidents ◽  
Factors Associated ◽  
Vehicle Accidents

scholarly journals Effects of Prescription Opioid Use on Traumatic Brain Injury Risk in Older Adults

2021 ◽  
Vol 36 (5) ◽  
pp. 388-395 ◽  
Author(s):  
Anthony V. Herrera ◽  
Linda Wastila ◽  
Jessica P. Brown ◽  
Hegang Chen ◽  
Steven R. Gambert ◽  
...  
Keyword(s):  
Older Adults ◽  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Injury Risk ◽  
Prescription Opioid ◽  
Opioid Use ◽  
Prescription Opioid Use

scholarly journals Proteomic differences between focal and diffuse traumatic brain injury in human brain tissue

2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Sami Abu Hamdeh ◽  
Ganna Shevchenko ◽  
Jia Mi ◽  
Sravani Musunuri ◽  
Jonas Bergquist ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Human Brain ◽  
Brain Tissue ◽  
Human Brain Tissue

scholarly journals Recent trends in hospitalization and in-hospital mortality associated with traumatic brain injury in Canada: a nationwide, population-based study

2015 ◽  
Vol 42 (S1) ◽  
pp. S21-S21
Author(s):  
T Fu ◽  
R Jing ◽  
S McFaull ◽  
M Cusimano
Keyword(s):  
Traumatic Brain Injury ◽  
Young Adults ◽  
Brain Injury ◽  
Hospital Mortality ◽  
Injury Severity ◽  
Motor Vehicle ◽  
Population Based ◽  
Hospital Length Of Stay ◽  
Elderly Adults ◽  
Hospitalization Rates

Background: Traumatic brain injury (TBI) is the leading cause of traumatic death and disability worldwide. We examined nationwide trends in TBI-related hospitalizations and in-hospital mortality between April 2006 and March 2010 using a population-based database that is mandatory for all hospitals in Canada. Methods: Trends in hospitalization rates were analyzed using linear regression. Independent predictors of in-hospital mortality were evaluated using logistic regression. Results: Hospitalization rates remained stable for children and young adults, but increased considerably among elderly adults (ages 65 and older). Falls and motor vehicle collisions (MVCs) were the most common causes of TBI hospitalizations. TBIs caused by falls increased by 24% (p=0.01), while MVC-related hospitalization rates decreased by 18% (p=0.03). Elderly adults were most vulnerable to falls, and experienced the greatest increase (29%) in fall-related hospitalization rates. Young adults (ages 15-24) were most at risk for MVCs, but experienced the greatest decline (28%) in MVC-related admissions. There were significant trends towards increasing age, injury severity, comorbidity, hospital length of stay, and in-hospital mortality. However, multivariate regression showed that the odds of death decreased over time after controlling for relevant factors. Conclusions: Hospitalizations for TBI are increasing in severity and involve older populations with more complex comorbidities.

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