Data-driven analysis for detecting transitions in health status in traumatic brain injury: Implications for prevention.

Thursday, November 10, 2022

3:15 PM – 3:31 PM

Presenting Author(s)

Tatyana Mollayeva, PhD, MD

Scientist
KITE Research Institute, Toronto Rehabilitation Institute- University Health Network
Toronto, Ontario, Canada

Slides

Non-presenting Author(s)

Andrew Tran, MSc

Medical Student
KITE Research Institute
Toronto, Ontario, Canada
Angela Colantonio, PhD, OT. Reg. (Ont.)

Professor, Rehabilitation Sciences Institute
University of Toronto
Toronto, Ontario, Canada
Vincy Chan, PhD

Assistant Scientist
University Health Network
Toronto, United States
MS

Mitchell Sutton, BBA, BSc, MSc

Biostatistician
University Health Network
Toronto, Ontario, Canada

Presenting Author(s)

Michael Escobar, PhD

Professor
Dalla Lana School of Public Health
Toronto, Ontario, Canada

Traumatic brain injury (TBI) takes place against the backdrop of various personal, social, and environmental processes. We used computational and data visualization techniques to examine the health records of over 200,000 patients with TBI in Ontario, Canada, starting prior to injury through to the injury event. We found that health status before TBI, informed by social and environmental variables, generally carried through to the injury event and health status was also reflected in the external causes of injury and injury severity. The most significant associations implicated multiple body system pathology and advanced age-related brain pathology. Health status on a time continuum can influence post-injury trajectories and should be considered in TBI risk analysis to improve prevention, diagnosis, and care.

Learning Objectives:

Appreciate the value of computational and data visualization techniques in examining health status transitions in traumatic brain injury
Observe that data-driven approaches to the analysis of health status preceding injury enable novel approaches to the study of external course of injury and injury severity
Think about how the study of pre-injury health status can inform the development of primary and secondary prevention interventions