Cardiac Arrest Clinical Trial
Official title:
Phase IIB Study of Novel Quantitative Neurodiagnostic Technology in the Early Period After Cardiac Arrest
The purpose of the study is to collect EEG's as close to the cardiac arrest as possible using a standard hospital EEG machine and an investigational EEG device to help determine the neurological status of the cardiac arrest patient and to help decide on possible treatment and chance of recovery. The investigational EEG machine will be simple to operate as well as easy to interpret for the clinician and the nurses. It is not to replace the electrophysiologist interpretation but to determine ealy on if further evaluation and treatment can help the patient.
Cardiac arrest claims over 450,000 lives per year in the United States alone. There is a
high incidence of neurological complications amongst survivors, and these represent the
leading cause of morbidity.
Over the past several years, the care of these patients has been improved via the
introduction of new systemic as well as neurospecific therapies. Speed of institution of
therapy appears to be an important factor affecting efficacy. Yet, in the crucial initial
hours to days post-arrest, assessment of neurological status in these patients is
essentially non-existent.
Thus, there is a need for an objective validated tool to assess prognosis and to track
neurological status in the early recovery period. In response to this need, we have
developed an EEG based Cortical Health Index (CHI). This EEG-based index incorporates
multiple weighted parameters derived from 2 channels (4 scalp electrodes + 1 ground
electrode) which are related to neurologic functional recovery. The strength and uniqueness
of this approach results from consideration of both the temporal as well as the spectral
domains of EEG. Our Phase II results demonstrate that CHI measured within the first 6-hours
post-arrest resuscitation is strongly correlated with clinical outcome at hospital discharge
in a 30-patient cardiac arrest study. Together with our industry collaborator, we now
propose to pursue regulatory approval of the CHI Monitor. Our plan involves a prospective
clinical trial involving 4 centers and 100 patients (64 Cardiac Arrest Patients and 36
patients undergoing ICD placement as controls). We will test the ability of CHI to: 1)
provide early prediction of subsequent neurological functional outcome of cardiac arrest
patients, and 2) provide real-time tracking of brain injury and response to therapy.
Successful completion of this project is defined by FDA clearance of the CHI Monitor.
It is our goal that the CHI Monitor will identify patients who could benefit from aggressive
intervention, and then track the response to the therapy. Providing this information to the
treating physician in the immediate post-resuscitation period represents a major change in
care delivery for the cardiac arrest survivor.
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Observational Model: Case Control, Time Perspective: Prospective
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