a study on Traumatic Brain Injury
The overall goal of Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) study is to determine the relationships among the clinical, neuroimaging, cognitive, genetic and proteomic biomarker characteristics for the entire spectrum of TBI from concussion to coma. TRACK-TBI will validate biomarkers and outcome measures for clinical trials, advance diagnostic and prognostic models for TBI and improve clinical trial design.
Effective treatment of traumatic brain injury (TBI) remains one of the greatest unmet needs in public health. After 3 decades of failed clinical trials, a new approach is needed. Our proposal, Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI), establishes a public-private partnership of experienced TBI investigators, and philanthropic and industry collaborators, who share a mission to accelerate TBI research. TRACK-TBI will create a large, high quality database that integrates clinical, imaging, proteomic, genomic, and outcome biomarkers to establish more precise methods for TBI diagnosis and prognosis, refine outcome assessment, and compare the effectiveness and costs of TBI care.
We hypothesize that this approach will permit investigators to better characterize and stratify patients, allow meaningful comparisons of treatments and outcomes, and improve the next generation of clinical trials. We have built on the TRACK-TBI Pilot study (NCT01565551) and our team's precompetitive collaboration, forged by participation in the TBI Common Data Elements project (TBI-CDE) and the International TBI Research Initiative (InTBIR). Having provided the index dataset for the Federal Interagency TBI Research database (FITBIR), we now propose the following Specific Aims:
Specific Aim 1. To create a widely accessible, comprehensive TBI Information Commons that integrates clinical, imaging, proteomic, genomic, and outcome biomarkers from subjects across the age and injury spectra, and provides analytic tools and resources to support TBI research. Multi- disciplinary teams across 11 sites will enroll 3000 subjects of all ages across the injury spectrum of concussion to coma. Utilizing TBI-CDEs, along with uniform standards for acquiring multi-site MRI data, we will expand the TRACK-TBI Pilot informatics platform, leveraging existing informatics tools to populate FITBIR, yielding a resource for current and future TBI research and international collaboration.
Specific Aim 2. To validate imaging, proteomic, and genetic biomarkers that will improve classification of TBI, permit appropriate selection and stratification of patients for clinical trials, and contribute to the development of a new taxonomy for TBI. We hypothesize that validated imaging, proteomic, and genetic biomarkers will permit improved patient classification, beyond traditional categories of mild, moderate and severe TBI.
Subaim 2.1. To establish prognostic imaging biomarkers for TBI based on patho-anatomic analysis of CT and MRI, as well as quantitative MR volumetrics, diffusion tensor imaging (DTI), and resting state functional MRI (R-fMRI).
Subaim 2.2. To identify blood-based biomarkers that will provide additional diagnostic and prognostic information with which to identify TBI phenotypes that can be targeted by specific therapies.
Subaim 2.3. To identify common polymorphisms in candidate genes associated with outcome after TBI, and to elucidate causal molecular mechanisms of injury, response, and repair.
Subaim 2.4. To construct a multidimensional TBI classification system incorporating data from multiple domains that will define homogeneous classes of patients suitable for clinical trial inclusion.
Specific Aim 3. To evaluate a flexible outcome assessment battery comprised of a broad range of TBI common data elements that enables assessment of multiple outcome domains across all phases of recovery and at all levels of TBI severity. When compared with the current gold standard, the Glasgow Outcome Scale Extended (GOSE), we hypothesize that a flexible and more discriminating outcome battery reflecting multiple functional domains will more precisely and efficiently capture outcomes across the course of recovery, at all levels of TBI severity.
Subaim 3.1. To improve the granularity and breadth of TBI outcomes using a flexible outcome assessment battery that enables basic neurocognitive assessment in subjects too impaired to undergo standard neuropsychological testing, and comprehensive assessment of cognition, functional status, mental health, social participation, and quality of life in those cognitively intact enough to provide valid results.
Subaim 3.2. To determine the efficiency of a flexible outcome assessment battery, as compared with the GOSE, in reducing sample sizes needed to detect differences between groups.
Subaim 3.3. To identify specific TBI phenotypes amenable to targeted interventions, by relating patient classification factors (Subaim 2.4) to different outcome factor scores (Subaim 3.1).
Specific Aim 4. To determine which tests, treatments, and services are effective and appropriate for which TBI patients, and use this evidence to recommend practices that offer the best value. We will use established comparative effectiveness research (CER) and health economics methods to evaluate the ability of each clinical practice to improve outcomes while containing costs.
Subaim 4.1. To identify patients currently admitted to an ICU who could be safely and effectively cared for in a floor bed or discharged home with outpatient management, and to estimate the health and economic impact of changing the management of these patients.
Subaim 4.2. To determine whether routine follow up improves TBI outcomes and minimizes their economic burden.
Subaim 4.3. To assess variability in management of patients taking antiplatelet agents at the time of TBI, and the effect of management on progression of intracranial hemorrhage, need for craniotomy, and outcome.
We expect that achievement of these Specific Aims will advance our understanding of TBI, improve clinical trial design, lead to more effective patient-specific treatments, and improve outcome after TBI.
Traumatic Brain Injury Biomarkers Neuroimaging Psychological Health Comparative Effectiveness Research
Open to people ages up to 100 years
© 2017 The Regents of the University of California