# Transforming Research And Clinical Knowledge in Geriatric Traumatic Brain Injury (TRACK-GERI) > **NIH NIH R01** · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · 2020 · $633,918 ## Abstract PROJECT SUMMARY / ABSTRACT Some 2.8 million Americans seek medical attention for traumatic brain injury (TBI) annually, resulting in estimated annual costs of over $75 billion. Older adults have the highest and fastest rising rate of TBI of any other age-group, with 1 in 50 adults age ≥75y seeking medical attention for TBI in 2013. Older adults with TBI experience higher mortality, slower recovery, worse outcomes, and may be at especially high risk for post-TBI dementia. There are few evidence-based guidelines for management, no tools to provide patients and families with reliable estimates of prognosis, and few proven treatments. Progress has been limited by: 1. systematic exclusion of older disabled patients from most prior prospective TBI studies, and 2. lack of age-appropriate TBI research tools. The overall objective is to launch a 2-site prospective geriatric TBI cohort study that will directly address these barriers by applying state-of-the-art geriatric research methods to the field of TBI to improve representation of older patients in TBI research, and to develop a novel approach to measuring age- appropriate TBI predictors, outcomes, blood-based biomarkers, and neuropathology. The approach rests on 2 foundational concepts: 1. Geriatric TBI is different from TBI in younger patients and will require a targeted age- appropriate approach. 2. Baseline health status – including comorbidities/polypharmacy, physical frailty, functional status, and brain structure – is recognized as a key predictor of outcome in the field of geriatrics but is not systematically measured in TBI research. The central hypothesis is that pre-injury health will be extremely heterogeneous in geriatric TBI and will be a key predictor of outcome in this population. An outstanding team of experts in TBI and aging research will achieve these Aims: Aim 1: Assemble a prospective cohort of patients age ≥65y presenting to the Emergency Department ≤72h after TBI who underwent CT. Enroll 270 TBI patient/study-partner dyads and 90 controls; perform baseline assessments and blood draws, and assess longitudinal outcomes at 2wk, 3mo, 6mo (primary endpoint) and 12mo; offer enrollment in a brain donation program. Aim 2: Develop and validate optimized geriatric TBI predictor and outcome assessments: 2a: Systematically measure apolipoprotein E allele and pre-injury comorbidities/polypharmacy, physical frailty, and multi-domain functional status via detailed patient and study partner interviews using validated geriatric instruments and assess association of these predictors with outcome after TBI. 2b: Describe the natural history of geriatric TBI using validated TBI and geriatric outcomes and then use data-driven analytics to identify the most parsimonious set of measures for longitudinal outcome assessment in this population. 2c (exploratory): Measure pre-injury brain structure (atrophy/white matter disease of uninjured brain visualized on baseline CT) and explore association with outc... ## Key facts - **NIH application ID:** 10001043 - **Project number:** 5R01NS110944-02 - **Recipient organization:** UNIVERSITY OF CALIFORNIA, SAN FRANCISCO - **Principal Investigator:** Raquel C. Gardner - **Activity code:** R01 (R01, R21, SBIR, etc.) - **Funding institute:** NIH - **Fiscal year:** 2020 - **Award amount:** $633,918 - **Award type:** 5 - **Project period:** 2019-09-01 → 2024-05-31 ## Primary source NIH RePORTER: https://reporter.nih.gov/project-details/10001043 ## Citation > US National Institutes of Health, RePORTER application 10001043, Transforming Research And Clinical Knowledge in Geriatric Traumatic Brain Injury (TRACK-GERI) (5R01NS110944-02). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10001043. Licensed CC0. --- *[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*