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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:
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| SICU patients with ICP | Surgical intensive care unit patients with elevated intracranial pressure |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| No Interventions | Other |
|
| Measure | Description | Time Frame |
|---|---|---|
| Algorithm development | Developing algorithms relating data to intracranial pressure. | 24 months |
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Inclusion Criteria:
Exclusion Criteria:
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Surgical intensive care unit patients
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| Name | Affiliation | Role |
|---|---|---|
| Steven Moulton, MD | University of Colorado, Denver | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Denver Health Medical Center | Denver | Colorado | 80204 | United States |
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| ID | Term |
|---|---|
| D019586 | Intracranial Hypertension |
| ID | Term |
|---|---|
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
| D009422 | Nervous System Diseases |
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