Identifying and predicting headache trajectories among those with acute post‐traumatic headache
This study identified subgroups of individuals with acute PTH with distinct headache improvement trajectories. The proposed ML method accurately classified individuals into these subgroups using the minimally necessary early headache data for each person, including detecting the subgroup with the mildest headaches at 2 weeks. This approach could offer an estimated forecast of headache burden over time and could assist clinicians with determining treatment needs and eligibility for PTH clinical trials.
Authors
- Todd J. Schwedt (ORCID: https://orcid.org/0000-0002-7780-7086)
- Catherine D. Chong (ORCID: https://orcid.org/0000-0002-9035-8748)
- Lingchao Mao
- Gina Dumkrieger (ORCID: https://orcid.org/0000-0001-9519-5370)
- Teresa Wu (ORCID: https://orcid.org/0000-0002-0529-7048)
- Jing Li (ORCID: https://orcid.org/0000-0003-0410-6673)
- Katherine Ross (ORCID: https://orcid.org/0000-0003-0347-5303)
- Dani C. Smith
Institutions
- Georgia Institute of Technology (US)
- Veterans Health Administration (US)
- WinnMed (US)
- Phoenix VA Health Care System (US)
- Mayo Clinic Hospital (US)
- Mayo Clinic in Florida (US)
- Arizona State University (US)
Publication Details
- Journal
- Headache The Journal of Head and Face Pain
- Published
- 2025-05-30
- DOI
- https://doi.org/10.1111/head.14955
- Citations
- 6
- Primary Topic
- Advanced Neuroimaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 8.16
Funders
- U.S. Department of Defense
- American Heart Association
- Amgen
- Eli Lilly and Company
- Pfizer
- American Brain Foundation
- Patient-Centered Outcomes Research Institute
- H. Lundbeck A/S
- Ipsen
- National Institutes of Health
- Allergan