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NCT01700465 · ClinicalTrials.gov registry record
Estimating and Predicting Hemodynamic Changes During Hemodialysis
A clinical trial, sponsored by University of Colorado, Denver.
- Completed
- Registry status
- 241
- Enrollment target
NCT01700465 is a clinical trial that has completed, run by University of Colorado, Denver. The registered enrollment target is 241 participants.
The verdict
NCT01700465 has completed, sponsored by University of Colorado, Denver.
- COMPLETED
- Registry status
- 241 participants
- Enrollment target
Study Summary
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.
Trial Details
| Field | Value |
|---|---|
| Enrollment Target | 241 participants |
| Start Date | 2012-09 |
| Est. Completion | 2016-12 |
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Full Details on ClinicalTrials.gov ↗What the Registry Record Tells You About NCT01700465
The ClinicalTrials.gov registry entry for NCT01700465 describes a study currently listed as completed, categorized as an unspecified phase. The registered enrollment target is 241 participants, a figure that helps gauge the scale of data the investigators plan to collect. The listed sponsor is University of Colorado, Denver, which has 1,283 total studies on file at ClinicalTrials.gov.
The record links to 0 conditions, and to 0 interventions.
NCT01700465 reports 0 study locations.
Frequently Asked Questions
What is clinical trial NCT01700465 about?
NCT01700465 is a clinical study titled "Estimating and Predicting Hemodynamic Changes During Hemodialysis". 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) ...
What is the current status of trial NCT01700465?
This trial is currently completed. The enrollment target is 241 participants. The study started on 2012-09. Estimated completion is 2016-12.
Who is sponsoring clinical trial NCT01700465?
This trial is sponsored by University of Colorado, Denver, which has 1,283 total clinical trials registered on ClinicalTrials.gov.
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