Special Issue on the NCAA-DoD CARE Consortium Research
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Annals of Biomedical Engineering, Vol. 47, No. 10, October 2019 (Ó 2019) pp. 2045–2047 https://doi.org/10.1007/s10439-019-02379-x
Special Issue on the NCAA-DoD CARE Consortium Research BETHANY ROWSON, JOEL D. STITZEL, and STEFAN M. DUMA Institute for Critical Technology and Applied Sciences, Blacksburg, USA
The National Collegiate Athletic Association (NCAA) and the U.S. Department of Defense (DoD) partnered to establish the NCAA-DoD Grand Alliance and the Concussion Assessment, Research, and Education (CARE) Consortium in 2014. The CARE Consortium was established to inform policy decisions concerning concussion and its long-term consequences on health as public concern continued to grow. CARE is now in its second phase and is the largest prospective concussion study ever conducted, with over 41,000 male and female NCAA student-athletes and service academy cadets enrolled. The first phase of CARE focused on defining the clinical and neurobiological natural history of concussion and recovery, along with factors that predict poor outcomes following injury. The second phase was initiated to study the cumulative and long-term effects of concussion and repetitive head impacts.
Joel D. Stitzel The CARE Consortium is one of many initiatives to better understand concussion as an injury and its longterm consequences. As public concern over concussion increases, more research is being devoted to filling in knowledge gaps clinically as well as understanding the mechanics of injuries and how to prevent them. The Annals of Biomedical Engineering (ABME) has published 15 papers related to sports concussions in the last 2 years. The papers covered a wide variety of topics including sensors to measure real-world head impact kinematics, clinical measures of concussion, helmet evaluation, and brain injury modeling. One study presented a novel foam-based technology for measuring real-world head impacts.11 Another used existing helmet-mounted sensors to evaluate the correlation between different head injury metrics and concussion risk.13 Balance is often used as a component of clinical evaluation of concussion and recovery, but the most common assessments are visually scored by trained personnel, which introduces human error and variance. Due to these limitations, investigators have evaluated different automated methods to detect changes in postural stability.8,12 Several studies evaluated the impact performance of existing helmets and newly developed technologies.4,5,10 Others looked at helmet testing methods and how they influence helmet evaluation.3,14 Finite element modeling has become increasingly important in studying head injury biomechanics since it is difficult to determine the mechanism of injury and relative motion in the brain during impact. Efforts have been made to increase the
Stefan M. Duma
Address correspondence to Stefan M. Duma, Institute for Critical Technology and Applied Sciences, Blacksburg, USA. Electronic mail: [email protected]
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Ó 2019 Biomedical Engineering Society
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