Elevated ICP (Intracranial Pressure), Intracranial Hypertension
Conditions
Keywords
Intracranial Hypertension, Elevated ICP (Intracranial Pressure)
Brief 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.
Interventions
OTHERNo Interventions
Sponsors
University of Colorado, Denver
Study design
Observational model
CASE_ONLY
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to 89 Years
Healthy volunteers
No
Inclusion criteria
* patients with severe traumatic brain injury resulting in motor Glasgow Coma Score (GCS) score \< 5 * age 18-89 years * health care provider indicating the need for hyperosmolar therapy for elevated ICP
Exclusion criteria
* pregnancy * incarceration * brain death (GCS 3 with fixed, dilated pupils) * life-threatening systemic injuries (Abbreviated Injury Scale (AIS) \>4 in an organ system other than CNS)
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Algorithm development | 24 months | Developing algorithms relating data to intracranial pressure. |
Countries
United States
Outcome results
None listed