Actively Recruiting
Neuroprognostication Bias: A Collaboration to Reduce the Impact of Self-fulfilling Prophecy in Cardiac ARrEst
Led by Boston Medical Center · Updated on 2025-12-24
600
Participants Needed
8
Research Sites
521 weeks
Total Duration
On this page
Sponsors
B
Boston Medical Center
Lead Sponsor
U
University of Florida
Collaborating Sponsor
AI-Summary
What this Trial Is About
Cardiovascular disease remains the leading cause of death in the United States. Mortality rates of cardiac arrest range from 60-85%, and approximately 80% of survivors are initially comatose. Of those who survive, 50% are left with a permanent neurological disability, and only 10% are able to resume their former lifestyle. Early prognosis of comatose patients after cardiac arrest is critical for management of these patients, yet predicting outcome for these patients remains quite challenging. The primary study objective of SPARE is to assess the value of using a systematic, multi-modal approach for neuroprognostication in the unconscious post-cardiac arrest population. We hypothesize that prognostication using this approach will be significantly improved compared to historical controls. This approach will be novel because: All patients who are unconscious at least 24 hours post-cardiac arrest, whereas previous studies on neurologic outcome tended to have restrictive inclusion criteria, such as no pre-existing neurologic impairment (e.g. dementia or prior cerebrovascular injury), or included an unduly restrictive population, such as patients with a strictly comatose state. The prognostic modalities used to assess patients will be applied at specific time points that will maximize their utility. Patients' families and clinicians will be encouraged to provide adequate time to allow for a delayed recovery, especially in cases of uncertain outcome, thus minimizing the self-fulfilling prophesy bias of early withdrawal of life-sustaining therapies (WLST). This will be particularly pertinent in the comparison of US and Brazil/Italy patients, as the Brazilian and Italian populations are not commonly exposed to premature WLST (as can be the case in the US), one of the major sources of biases in prognostication studies of cardiac arrest due to the self-fulfilling prophecy.
CONDITIONS
Official Title
Neuroprognostication Bias: A Collaboration to Reduce the Impact of Self-fulfilling Prophecy in Cardiac ARrEst
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Initially unconscious following cardiac arrest from any non-perfusing rhythm (ventricular tachycardia, ventricular fibrillation, pulseless electrical activity, asystole)
- Sustained return of spontaneous circulation lasting at least 20 minutes after resuscitation
You will not qualify if you...
- Isolated respiratory arrest without cardiac arrest
AI-Screening
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Trial Site Locations
Total: 8 locations
1
University of California, San Francisco
San Francisco, California, United States, 94143
Actively Recruiting
2
Yale University
New Haven, Connecticut, United States, 06510
Actively Recruiting
3
University of Florida
Gainesville, Florida, United States, 32611
Actively Recruiting
4
Boston Medical Center
Boston, Massachusetts, United States, 02118
Actively Recruiting
5
University of Pennsylvania
Philadelphia, Pennsylvania, United States, 19104
Actively Recruiting
6
Instituto D'Or de Pesquisa e Ensino
Rio de Janeiro, Brazil, 22281-100
Actively Recruiting
7
Albert Einstein Israelite Hospital
São Paulo, Brazil, 05652-900
Actively Recruiting
8
Hospital das Clinicas Faculdade de Medicina Ribeirao Preto
São Paulo, Brazil, 14015-010
Actively Recruiting
Research Team
D
David M Greer, MD MA
CONTACT
R
Rebecca Stafford, BA
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
1
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