A Continuous, Non-Invasive, Real-time Method for Estimating and Predicting Intracranial Hypertension
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:
- Develop models to estimate ICP and cerebral perfusion pressure (CPP) after traumatic brain injury in humans.
- Predict and anticipate changes in ICP for preemptive management purposes.
- Analyze characteristics of changes in ICP after treatment failure.
- Analyze data to predict/anticipate confounding physiologic factors that affect ICP and its treatment.
- Test the resulting models in real time.
Elevated ICP (Intracranial Pressure)
Other: No Interventions
|Study Design:||Observational Model: Case-Only
Time Perspective: Prospective
|Official Title:||A Continuous, Non-Invasive, Real-time Method for Estimating and Predicting Intracranial Hypertension|
- Algorithm development [ Time Frame: 24 months ] [ Designated as safety issue: No ]Developing algorithms relating data to intracranial pressure.
|Study Start Date:||August 2011|
|Estimated Study Completion Date:||June 2017|
|Estimated Primary Completion Date:||January 2017 (Final data collection date for primary outcome measure)|
SICU patients with ICP
Surgical intensive care unit patients with elevated intracranial pressure
|Other: No Interventions|
Please refer to this study by its ClinicalTrials.gov identifier: NCT01448681
|United States, Colorado|
|Denver Health Medical Center|
|Denver, Colorado, United States, 80204|
|Principal Investigator:||Steven Moulton, MD||University of Colorado, Denver|