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This study will look to validate predictive algorithms developed in a previous study where we collected relevant data from trauma registry and after using advanced signal-processing and machine-learning, determined prediction scores regarding neuroworsening and other outcomes following traumatic brain injury.
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| Measure | Description | Time Frame |
|---|---|---|
| Neurological Decline | Neurological decline is defined as a worsening in neurological status determined by a 2 point decline GCS, pupillary change, radiographic worsening defined by Rotterdam score, need for neurological or neurosurgical intervention (eg. treatment of seizure, raised ICP, hematoma evacuation) | First 48 hours of injury |
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Inclusion Criteria:
Exclusion Criteria:
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Adult TBI patients
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Neeraj Badjatia, MD MSc | Contact | 14103284515 | nbadjatia@umm.edu |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University of Maryland Medical Center | Recruiting | Baltimore | Maryland | 21210 | United States |
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| ID | Term |
|---|---|
| D000070642 | Brain Injuries, Traumatic |
| ID | Term |
|---|---|
| D001930 | Brain Injuries |
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
| D009422 | Nervous System Diseases |
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| D006259 |
| Craniocerebral Trauma |
| D020196 | Trauma, Nervous System |
| D014947 | Wounds and Injuries |