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There is statistically significant correlation between invasive measures of intracranial pressure (ICP) and non-invasive, real-time, continuous physiologic waveform data algorithms to predict ICP. Furthermore, characteristics within this physiologic waveform data will allow modeling for trend prediction of derived ICP information. Specific aims: 1. Develop models to estimate ICP and cerebral perfusion pressure (CPP) after traumatic brain injury in humans. 2. Predict and anticipate changes in ICP for preemptive management purposes. 3. Analyze characteristics of changes in ICP after treatment failure. 4. Analyze data to predict/anticipate confounding physiologic factors that affect ICP and its treatment. 5. Test the resulting models in real time.
Age
18 - 89 years
Sex
ALL
Healthy Volunteers
No
Denver Health Medical Center
Denver, Colorado, United States
Start Date
August 1, 2011
Primary Completion Date
July 1, 2019
Completion Date
July 1, 2019
Last Updated
September 30, 2019
32
ACTUAL participants
No Interventions
OTHER
Lead Sponsor
University of Colorado, Denver
NCT07440277
NCT06254534
Data Source & Attribution
This clinical trial information is sourced from ClinicalTrials.gov, a service of the U.S. National Institutes of Health.
Modifications: This data has been reformatted for display purposes. Eligibility criteria have been parsed into inclusion/exclusion sections. Location data has been geocoded to enable distance-based search. For the authoritative and most current information, please visit ClinicalTrials.gov.
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View ClinicalTrials.gov Terms and ConditionsNCT03556085