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A Study of Autonomic Dynamic Dysfunction to Predict Infections After Spinal Cord Injury.
Sponsor: Ohio State University
Summary
The study is designed to investigate whether autonomic shifts (dysautonomia, sympatho-vagal instability) that develop after SCI have value in predicting SCI-associated infections (SCI-AI). SCI-AI impair outcomes by (1) reducing the intrinsic neurological recovery potential and (2) increasing mortality. Heart Rate Variability (HRV) data will be tracked in both the time and frequency domains to discriminate between the relative contribution of sympathetic and parasympathetic innervation to changes in HRV. The ability to predict infections will enable novel treatments thereby reducing infection-associated mortality and improving neurological and functional outcomes.
Official title: PROSPECT ADDITION SCI - A PROSPECTive Study of Autonomic Dynamic Dysfunction to Predict infecTIONs After Spinal Cord Injury
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
50
Start Date
2017-09-29
Completion Date
2027-12-31
Last Updated
2025-08-11
Healthy Volunteers
No
Conditions
Locations (1)
The Ohio State University Wexner Medical Center
Columbus, Ohio, United States