The purpose of the study is to validate the clinical outcome in patients with closed head injuries (GCS 14-15, ages 18-85) who are being evaluated for head trauma, integrating the BrainScope One structural injury classifier (SIC) algorithm, with focus on SIC negative classification. In addition, to assess functional impairment (concussion) in these patients, results from Brain Function Index (BFI) or Concussion Index (CI) algorithms will be used for analysis.
BrainScope One incorporates brain electrical activity (EEG, a proven electrophysiological core technology) and other multimodal assessment capabilities in a portable, point-of-care, non-invasive device containing algorithms designed to improve early identification, staging, and optimization of treatment for head injured patients (GCS 13-15) who are suspected of a brain injury. Structural Injury Classifier (SIC) provides objective results that indicate the likelihood of a structural brain injury being present, potentially visible on CT Scan. Brain Function Index (BFI) provides an objective measurement to determine the likelihood and severity of brain function impairment such as that seen in concussion/mTBI. The BFI is presented as a percentile compared to a normal corresponding population. Lastly, the Concussion Index (CI) was derived in the most recent BrainScope concussion assessment clinical study, and it is defined as a multivariate, multimodal index to assess the presence and severity of concussion and has been demonstrated to reliably reflect change over time. The present study population targets those patients who sustained a head injury, have high GCS scores (14-15) and present mild symptoms, for whom the suspicion of structural brain injury is therefore low. Having a rapid, reliable, and sensitive assessment tool to aid in the triage of patients who are suspected of a traumatically induced structural brain injury could aid in appropriate and timely diagnosis and subsequent medical care. It may also result in more appropriate utilization of medical imaging (potentially having associated health risks) and reductions in hospitalizations. Patients discharged from the ED who were deemed to not require a CT scan will be followed-up for outcome.
Study Type
OBSERVATIONAL
Enrollment
660
EEG recording acquired on BrainScope One device.
Cognitive performance tests performed on BrainScope One device.
Clinician evaluation performed as part of standard of care at the clinical site.
Self assessed 22-item Concussion Symptom Inventory (CSI).
Wayne State University - Detroit Receiving Hospital
Detroit, Michigan, United States
Henry Ford Health System
Detroit, Michigan, United States
Wayne State University - Sinai Grace Hospital
Detroit, Michigan, United States
Beaumont Hospital
Royal Oak, Michigan, United States
Beaumont Hospital
Troy, Michigan, United States
Washington University - Barnes Jewish Hospital
St Louis, Missouri, United States
El Paso Medical Center
El Paso, Texas, United States
Clinical utility of integration of BSC SIC into the triage of closed head injured patients.
Demonstrate the accuracy of the BrainScope Structural Injury Classifier (SIC) negative findings through repeated follow ups of those patients discharged from the ED without receiving a CT scan, as determined by the ED physician.
Time frame: 30 days
High NPV adds confidence to the clinical decision not to scan when the BrainScope SIC is negative
For those who were BSC SIC negative and who are referred to CT due to clinician's decision, CT results will be obtained to assess the accuracy of BrainScope finding, this will allow an estimate of NPV.
Time frame: After enrollment closure
Higher specificity in BSC SIC compared to Nexus II and CCHR could result in decrease of referral for unnecessary CT scans due to higher specificity.
Compare accuracy of Nexus II and CCHR Imaging rules to BrainScope in predicting true negatives
Time frame: After enrollment closure
To correlate BFI and CI to the severity and duration of concussive symptom burden (measured by CSI)
The BFI/CI can help to inform the clinical decision on the likely of concussion at the time of injury in the ED environment and predict prolonged recovery.
Time frame: After enrollment closure
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