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TRACK-TBI
Data Repository
Data Service
Study Enrollment
Ongoing
Added on Portal
Dec 04, 2018
Collection

Part of InTBIR

TRACK-TBI

Overview


Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) is a 5-year NINDS funded study with an overall goal 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 aims validate biomarkers and outcome measures for clinical trials, advance diagnostic and prognostic models for TBI and improve clinical trial design. The study will collect and analyze clinical data on 3,000 subjects across 11 U.S. trauma centers. Data will be collected across the injury spectrum, along with CT/MRI imaging, blood biospecimens, and detailed clinical outcomes. As of February 1, 2016 1,300 patients have been enrolled in the study. 


This rich and diverse precision medicine dataset will reside in a publicly accessible infrastructure of integrated databases, imaging repositories, and biosample repositories – a true TBI Information Commons. Our high quality and fully integrated TBI-Common Data Element dataset will provide a global platform to connect TBI’s best scientists. 

Lead Scientist
Geoff Manley, UCSF
Meta Data
Number of Subjects 3,410
Primary Diagnoses
  • Traumatic Brain Injury (TBI)
Species Human
Domains
  • Demographics, patient history or other descriptive data
  • Neuroimaging data
  • Biospecimens
  • Physiological data
  • Neurobehavioral or other outcome assessments
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Keywords
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