Estimating and Predicting Hemodynamic Changes During Hemodialysis
NCT ID: NCT01700465
Last Updated: 2016-12-05
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
241 participants
OBSERVATIONAL
2012-09-30
2016-12-31
Brief Summary
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Detailed Description
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2. Combine the physiological data from patient monitors with clinical and demographic data, including age, gender, race, problem list, reason for dialysis, estimated dry weight, volume removed, arterial and venous pressures, etc. for use in developing mathematical models of hemodialysis.
3. Develop robust, real-time, computational models for:
* estimating acute intravascular volume loss during hemodialysis
* predicting an optimal, individual specific, intravascular volume to be removed during a hemodialysis session
* predicting intradialytic hypotension
4. Determine:
* which non-invasive signals are relevant to each model type
* which features extracted from these signals are relevant
* which algorithms are capable of using the extracted features for each decision type
Conditions
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Keywords
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Study Design
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CASE_ONLY
PROSPECTIVE
Study Groups
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Hemodialysis
Patients undergoing hemodialysis
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
* Undergoing hemodialysis at the Fresenius Medical Centers, University of Colorado Hospital or Children's Hospital Colorado
Exclusion Criteria
* Incarcerated
* Decisionally challenged
* Positive for hepatitis B surface antigen
* Limited access to or compromised monitoring sites for non-invasive finger and ear or forehead sensors
2 Years
89 Years
ALL
No
Sponsors
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University of Colorado, Denver
OTHER
Responsible Party
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Principal Investigators
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Steve Moulton, MD
Role: PRINCIPAL_INVESTIGATOR
Children's Hospital Colorado
Locations
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Fresenius Medical Center East Denver
Aurora, Colorado, United States
Children's Hospital Colorado
Aurora, Colorado, United States
University of Colorado Hospital
Aurora, Colorado, United States
Fresenius Medical Center Central
Denver, Colorado, United States
Fresenius Medical Center Rocky Mountain
Denver, Colorado, United States
Countries
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Other Identifiers
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11-1437
Identifier Type: -
Identifier Source: org_study_id