Cardiovascular disease remains the leading cause of death in the United States. Mortality rates from cardiac arrest range from 60-85%, and of survivors, up to 80% are initially comatose. Once circulation has been reestablished, the extent of brain injury is a key factor for prognostication. Poor neurologic prognosis commonly leads to the withdrawal of life-sustaining therapies (WLST) and subsequent death. According to the 2015 American Heart Association Guidelines, the most reliable strategy for prognostication of poor outcome remains a key knowledge gap in the treatment of post-cardiac arrest survivors. Traditional recommendations for neurologic prognostication have proven unreliable in modern studies of cardiac arrest patients. New techniques with improved accuracy are needed to avoid premature WLST from patients who may ultimately recover with good neurologic outcome. A large subset of patients initially comatose after cardiac arrest will have normal neuroimaging and electrophysiology, only to deteriorate in the subsequent days. This likely represents a therapeutic window prior to the onset progressive ischemia, apoptosis, hypoperfusion and cerebral edema, which most often leads to poor outcome. We hypothesize that multimodal approaches that include clinical, electrophysiology, biochemical and MRI data will improve prognostication of short-term and long-term outcome in initially comatose cardiac arrest patients, helping to identify those most likely to benefit from therapeutic interventions in the future. We propose to perform a prospective observational study in cardiac arrest patients still comatose 24 hours post-arrest, or 24 hours post-rewarming in those treated with targeted temperature management. Our study focuses on patients for whom prognostication is typically most challenging, and who are most likely to benefit from advanced assessment tools. We will systematically evaluate whether these tests can predict short-term neurological recovery and ultimately long-term neurological outcome.
Our first aim i s to determine whether acute MRI and electrophysiology can identify which patients are most likely to regain arousal. The benefit of using recovery of arousal as a surrogate marker for long-term outcome is that it will be less plagued by a self-fulfilling prophecy bias from WLST. Secondarily, we will investigate whether subacute MRI and EEG assessments are associated with neurological outcomes at discharge, 3, 6 and 12 months.

Public Health Relevance

Accurate early neurological prognostication in comatose post-cardiac arrest survivors remains challenging, especially in the era of targeted temperature management. Identifying patients at risk for progressive neurological deterioration is crucial, as these are most amenable to intervention with innovative therapeutics. Our study will investigate the neuroanatomical and neurophysiological basis underlying brain injury and recovery in cardiac arrest patients who remain unresponsive greater than 24 hours after resuscitation, in whom accurate methods of long-term neurologic prognostication are currently lacking.

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Research Project (R01)
Project #
5R01NS102574-02
Application #
9775462
Study Section
Acute Neural Injury and Epilepsy Study Section (ANIE)
Program Officer
Koenig, James I
Project Start
2018-09-15
Project End
2023-06-30
Budget Start
2019-07-01
Budget End
2020-06-30
Support Year
2
Fiscal Year
2019
Total Cost
Indirect Cost
Name
Massachusetts General Hospital
Department
Type
DUNS #
073130411
City
Boston
State
MA
Country
United States
Zip Code
02114