A Multidisciplinary Translational Approach to Investigate the Mechanisms, Predictors, and Prevention of Persistent Post-Traumatic Headache

Abstract

Annually in the US there are 2.8 million TBI-related ED visits, hospitalizations, and deaths and over 2 million individuals are diagnosed with mild TBI (mTBI). From 2000 to 2016, 360,000 US armed service members were diagnosed with TBIs, of which over 80 were mTBIs. Post-traumatic headache (PTH) is the most common symptom following mTBI. Although some PTHs resolve within the first few days, a large proportion of individuals with PTH do not have headache resolution during the acute phase and have PTH persistence (PPTH). Optimally, individuals who are at high risk for PPTH would be identified and treated during the acute stage of PTH, prior to and with the intent of preventing PTH persistence. This Focused Program will address this area of need by investigating mechanisms for PTH persistence, biomarkers that predict an increased risk for PPTH, and methods of preventing the development of PPTH. This Focused Program consists of six synergistic, non-interdependent, individual projects that address the overarching goal via use of PTH animal models, human investigations of individuals with PTH via in-depth phenotyping, neurophysiology testing, imaging brain structure and function, and via human and animal molecular and genetic biomarker identification. Finally, this Focused Program includes a phase II clinical trial of a CGRP receptor monoclonal antibody administered during the acute stage of PTH with the intent of preventing PTH persistence.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2021
Accession Number
AD1155917

Entities

People

  • Todd J. Schwedt

Organizations

  • Mayo Clinic Hospital

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Biomedical Research
  • Brain
  • Brain Injuries
  • Computational Science
  • Data Analysis
  • Data Mining
  • Data Processing
  • Deep Learning
  • Dimensionality Reduction
  • Feature Extraction
  • Headache Disorders
  • Health Services
  • Information Science
  • Machine Learning
  • Medical Personnel
  • Predictive Modeling
  • Social Media

Fields of Study

  • Medicine

Readers

  • Neurotrauma and Rehabilitation Medicine.

Technology Areas

  • Biotechnology