Colorado PROFILES, The Colorado Clinical and Translational Sciences Institute (CCTSI)
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Beyond Mild, Moderate, and Severe: Evaluating the Clinical, Biomarkers, Imaging, and Modifiers (CBI-M) Classification System for Traumatic Brain Injury


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Specific Aims. Aim 1. We will engage members of the TEP in a process of identifying and ranking, in terms of importance, PEFs expected to impact short- and long-term health-related outcomes following mTBI. Aim 2. 2A. Estimate the number of participants who meet history of mTBI criteria by the Department of Veterans Affairs and Defense (VA/DOD), American Congress of Rehabilitation Medicine (ACRM) Diagnostic Criteria for Mild Traumatic Brain Injury (ACRM) or Clinical, Biomarkers, Imaging and Modifiers (CBI-M) Classification System (based on presence of injury events reported most proximally to study enrollment [index TBI]), and measure associations between index mTBI (yes/no) and longitudinal health-related outcomes. Hypothesis 2A. We hypothesize that history of mTBI (versus no index TBI) will be significantly associated with poorer longitudinal health-related outcomes. 2B. Measure associations between individual CBI-M elements (e.g., loss of consciousness versus no loss of consciousness, history of multiple mTBIs versus single mTBI) and longitudinal health-related outcomes. Hypothesis 2B. We hypothesize that age (older), education (less), and history of multiple TBIs (versus one) will be associated with poorer longitudinal health-related outcomes. Aim 3. 3A. Identify unique classes of participants using latent class analysis (LCA) of the CBI-M criteria including PEFs identified by the TEP, and describe differences, including clinical interpretation, between unique classes. Hypothesis 3A. We hypothesize that two or more groups of patients with unique CBI-M criteria will emerge. 3B. Examine the association between longitudinal health-related outcomes measured at follow-up time points and CBI-M related LCA classes. Hypothesis 3B. We hypothesize that there will be a significant association between unique groups and longitudinal health outcomes.
Collapse sponsor award id
TP240146

Collapse Time 
Collapse start date
2025-09-01
Collapse end date
2029-08-31

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