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Neuroprognostication Bias: A Collaboration to Reduce the Impact of Self-fulfilling Prophecy in Cardiac ARrEst
Sponsor: Boston Medical Center
Summary
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.
Official title: Addressing an Inherent Bias in Neuroprognostication: A Collaboration to Reduce the Impact of Self-fulfilling Prophecy in Cardiac ARrEst
Key Details
Gender
All
Age Range
18 Years - 89 Years
Study Type
OBSERVATIONAL
Enrollment
600
Start Date
2017-08-02
Completion Date
2027-08
Last Updated
2025-12-24
Healthy Volunteers
No
Conditions
Locations (8)
University of California, San Francisco
San Francisco, California, United States
Yale University
New Haven, Connecticut, United States
University of Florida
Gainesville, Florida, United States
Boston Medical Center
Boston, Massachusetts, United States
University of Pennsylvania
Philadelphia, Pennsylvania, United States
Instituto D'Or de Pesquisa e Ensino
Rio de Janeiro, Brazil
Albert Einstein Israelite Hospital
São Paulo, Brazil
Hospital das Clinicas Faculdade de Medicina Ribeirao Preto
São Paulo, Brazil