NCT01448681

A Continuous, Non-Invasive, Real-time Method for Estimating and Predicting Intracranial Hypertension

• Status: Completed
• Phase: —
• Study type: Observational
• Enrollment: 32 (actual)
• Sponsor: University of Colorado, Denver · Academic / Other
• Sex: All
• Age: 18 Years – 89 Years
• Healthy volunteers: Not accepted

Summary

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.

Conditions

• Intracranial Hypertension
• Elevated ICP (Intracranial Pressure)

Interventions

Type	Name	Description
OTHER	No Interventions

Timeline

• Start date: 2011-08-01
• Primary completion: 2019-07-01
• Completion: 2019-07-01
• First posted: 2011-10-07
• Last updated: 2019-09-30

Locations

1 site across 1 country: United States