Predicting severe traumatic brain injury events
Official title: Prediction and Prevention of Intracranial Hypertension and Tissue Hypoxia in Severe Traumatic Brain Injury
Run by University of Chicago · NCT06966713 · Data updated 2026-11-12
This study is testing a new computer method to see if it can predict serious brain injury events in patients before they happen, so doctors can act quickly to help prevent more damage.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 120 (estimated) |
| Sponsor | University of Chicago Academic / other |
| Locations | 2 sites (Chicago, Illinois and 1 other locations) |
| Status | Recruiting |
| Started | February 20, 2023 |
| Main results expected | July 13, 2027 |
| Study ends | August 31, 2027 |
| Registry record updated | October 29, 2026 |
| Trial ID | NCT06966713 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates for this study are adults over 18 years old with severe TBI, as indicated by a Glasgow Coma Scale score of 8 or less.
✕Probably not a fit
Patients who are in imminent brain death or have conditions that contraindicate intracranial monitoring will not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational study aims to develop a computerized method to predict severe traumatic brain injury (TBI) events, specifically episodes of intracranial hypertension and brain tissue hypoxia, before they occur. By analyzing physiologic data from TBI patients, the study utilizes machine-learning algorithms to identify patterns that precede these critical events. The first phase focuses on establishing the necessary informatics infrastructure, while the second phase involves real-time testing of predictions in patients. The goal is to enable timely clinical interventions that could prevent further brain damage.
Why it matters
Potential benefit: If successful, this approach could significantly reduce mortality and disability rates associated with severe TBI by allowing for earlier medical interventions.
How similar studies have gone: While this approach is innovative, similar predictive methodologies in critical care settings have shown promise, suggesting potential for success.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Patients age \>18 years old * Severe TBI, determined by initial Glasgow Coma Scale (GCS) score after resuscitation and without the influence of paralytics or sedation, (GCS score ≤8, motor score ≤5, not following commands) * The clinical need for ICP and/or PbtO2 monitoring according to the BTF guidelines * Be able to enroll during the course of their stay in the ICU Exclusion Criteria: * Neurological exam suggesting imminent brain death (bilateral, fixed and dilated pupils) or questionable accuracy of the neurologic exam (high blood alcohol level and/or seizure activity \< 30 minutes of exam) * Evidence of pregnancy (urine or blood test) * Placement of intracranial monitoring is contraindicated (e.g., uncorrected coagulopathy, depressed skull fracture) * Inability to obtain informed consent from legal authorized representative (LAR) prior to research procedures * Participation in another interventional clinical trial (coenrollment with the BOOST3 (CIRB19-0228) trial is allowed\*) * Prisoner
Where it's running
-
University of Chicago
Chicago, Illinois, United States Recruiting -
Baylor college of medicine
Houston, Texas, United States Recruiting
Study contacts
- Principal investigator: Christos Lazaridis, MD — clazaridis@bsd.uchicago.edu
- Study coordinator: Farima Fakhri, MD
- Email: Farima.Fakhri@bsd.uchicago.edu
- Phone: 7737021220
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.