MedTrace Logo

A Study of Autonomic Dynamic Dysfunction to Predict Infections After Spinal Cord Injury.

NCT03253952 · Status: ACTIVE_NOT_RECRUITING · Type: OBSERVATIONAL · Enrollment: 50

Last updated 2025-08-11

No results posted yet for this study

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.

Conditions

  • Trauma, Spinal Cord
  • SPINAL Fracture

Sponsors & Collaborators

  • Ohio State University

    lead OTHER

Principal Investigators

  • Jan M Schwab, MD, PhD · Ohio State University

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2017-09-29
Primary Completion
2025-06-30
Completion
2027-12-31

Countries

  • United States

Study Locations

More Related Trials

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT03253952 on ClinicalTrials.gov