Transforming Research and Clinical Knowledge in Traumatic Brain Injury
Abstract
Using the TRACK-TBI (Transforming Research and Clinical Knowledge in TBI) dataset we have created an Information Commons that integrates clinical, imaging, proteomic, genomic, and outcome biomarkers based upon the domains of the TBI Common Data Elements. The comprehensive TBI-CDE outcome measures allow for analyses of biomarker associations with a variety of measures. Available prognostic models have been evaluated against new prognostic models for TBI and found to be unsatisfactory using a multivariate approach that goes beyond the crude definitions of Mild, Moderate and Severe TBI. The latest neuroimaging methods including Quantitative CT, DTI, and resting-state functional MRI are surpassing other methods for predicting TBI patient outcomes. In emergency settings where high resolution neuroimaging is not available, rapid measurement of proteomic markers is appearing to be a valuable adjunct to current screening practices for ruling out TBI. Most importantly improving the collection of biomarkers in TBI patients will be vital to the design of future clinical trials. For future plans during Year 2 we are on target to complete the original tasks to conduct multivariate diagnostic and prognostic modeling across all aims and CDE domains.
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 01, 2014
- Accession Number
- ADA622960
Entities
People
- Geoffrey T. Manley
Organizations
- University of California, San Francisco