🏛️ Verified NIH Record • Updated 2025-12-22

Neuroprognostication Bias: A Collaboration to Reduce the Impact of Self-fulfilling Prophecy in Cardiac ARrEst (NCT03261089)

Addressing an Inherent Bias in Neuroprognostication: A Collaboration to Reduce the Impact of Self-fulfilling Prophecy in Cardiac ARrEst

🟢 Recruiting Interventional Protocol 📊 Observational Clinical Research Sponsor: Boston Medical Center

🩺 Plain-English Summary (8th-Grade Level)

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.

Who can join: Review the eligibility criteria below.

Location: University of California, San Francisco — San Francisco, California

Age range: 18 Years to 89 Years

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Full eligibility criteria are available on the official NIH protocol. View the criteria ↗

📍 All Participating Trial Locations (8 Sites)

  • University of California, San Francisco — San Francisco, California
  • Yale University — New Haven, Connecticut
  • University of Florida — Gainesville, Florida
  • Boston Medical Center — Boston, Massachusetts
  • University of Pennsylvania — Philadelphia, Pennsylvania
  • Instituto D'Or de Pesquisa e Ensino — Rio de Janeiro,
  • Albert Einstein Israelite Hospital — São Paulo,
  • Hospital das Clinicas Faculdade de Medicina Ribeirao Preto — São Paulo,

📞 Contact the Study Coordinator

Phone: (617) 638-5102

Email: dgreer@bu.edu

Coordinator details come directly from the registered NIH protocol. Confirm the study is still recruiting before traveling.

💰 Cost, Insurance & Patient Rights

  • 100% Free Items: The investigational treatment and protocol-required procedures are supplied at zero cost by the sponsor.
  • Routine Patient Care: Under federal law (ACA § 2709) and many state statutes, routine care costs are covered during participation.
  • Voluntary Participation: You may withdraw at any time without affecting your standard medical care.

Explore by condition: All Cardiac Arrest clinical trials

💡 How to Participate

  1. Check the checklist above to see if you may qualify.
  2. Contact the study coordinator using the phone/email above.
  3. Ask about the visit schedule, what is covered at no cost, and any travel support.
  4. Confirm with your own doctor before making a decision.
🏛️ View Official NIH Record ↗