Estimating and Predicting Hemodynamic Changes During Hemodialysis

Recruiting in Palo Alto (17 mi)

+4 other locations

Overseen by Steve Moulton, MD

Age: Any Age

Sex: Any

Travel: May Be Covered

Time Reimbursement: Varies

Trial Phase: Academic

Waitlist Available

Sponsor: University of Colorado, Denver

No Placebo Group

Trial Summary

What is the purpose of this trial?

Machine learning techniques and algorithms originally developed for use in the field of robotics can be applied to continuous, noninvasive physiological waveform data to discover hidden, hemodynamic relationships. Newly developed algorithms can, in real-time: 1) estimate acute blood loss volume, 2) monitor and estimate fluid resuscitation needs, 3) predict cardiovascular collapse well ahead of any clinically significant changes in standard vital signs, and 4) estimate intracranial pressure. We hypothesize that these same methods can be used to monitor volume loss during hemodialysis, as well as predict intradialytic hypotension, well before it occurs.

Eligibility Criteria

Inclusion Criteria

Age: 2 - 89 years

Undergoing hemodialysis at the Fresenius Medical Centers, University of Colorado Hospital or Children's Hospital Colorado

Treatment Details

Interventions

• Machine Learning Techniques (Machine Learning Algorithm)

Find a Clinic Near You

Research Locations Nearby Select from list below to view details:

Fresenius Medical Center Rocky Mountain Denver, CO

Fresenius Medical Center Central Denver, CO

Fresenius Medical Center East Denver Aurora, CO

Children's Hospital Colorado Aurora, CO

More Trial Locations

Who Is Running the Clinical Trial?

University of Colorado, Denver Lead Sponsor

References