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

University of Colorado, Denver32 enrolled

Overview

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.

Study Type

OBSERVATIONAL

Enrollment

Conditions

Intracranial Hypertension Elevated ICP (Intracranial Pressure)

Interventions

No InterventionsOTHER

Eligibility

Sex: ALLMin age: 18 YearsMax age: 89 Years

Medical Language ↔ Plain English

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)

Outcomes

Primary Outcomes

Algorithm development

Developing algorithms relating data to intracranial pressure.

Time frame: 24 months