AI-guided Prediction and Treatment of Cardiac Arrest (NCT07452016)
Improving Cardiac Arrest Outcomes Using Artificial Intelligence Guided Precision Treatments
🩺 Plain-English Summary (8th-Grade Level)
Sudden cardiac arrest is a major health problem, and most people don't survive. One big reason is that even if resuscitation is successful, people commonly have recurrent cardiac arrests (rearrest). Right now, it is not possible to accurately predict a rearrest or prevent it. The investigators have developed a machine learning device that uses the heart tracing (ECG) to predict when and why a rearrest occurs. The investigators plan to test if it will accurately and effectively help EMS providers predict rearrest and provide timely treatment to increase survival after cardiac arrest. To determine if this machine learning device will work in the real world, the investigators need to find out if there are barriers to using it, and whether EMS providers will think it is useful and will help them improve the care of patients who have a cardiac arrest. The investigators will first test the device in live simulated cardiac arrest scenarios to see if the providers can use it and if they find the device potentially valuable in taking care of patients. In a second study, the investigators will test how accurate the device is in predicting if a cardiac arrest will happen again in patients who have just been brought back to life after a cardiac arrest. EMS providers will attach the device, but it will only work in the background. EMS will take care of patients as they normally would, without using or knowing what the device says. To see if the device is accurate at predicting another cardiac arrest, the investigators will analyze the results offline, and compare what the device says to what actually happens to the patient. By comparing what the device predicts to what actually happens, the investigators can see how well it predicts another cardiac arrest and estimate how it might improve treatment of patients.
Who can join: Review the eligibility criteria below.
Location: The MetroHealth System — Cleveland, Ohio
Age range: 18 Years
🧪 Interventions in This Study
📋 "Do I Qualify?" — 1-Minute Self Screener
Instant ChecklistFull eligibility criteria are available on the official NIH protocol. View the criteria ↗
📍 All Participating Trial Locations (1 Sites)
- The MetroHealth System — Cleveland, Ohio
📞 Contact the Study Coordinator
Phone: (216) 978-6274
Email: lwilson@metrohealth.org
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.
More studies in Sudden Cardiac Arrest
- Prediction of ARrhythmic Events With Positron Emission Tomography II — Buffalo, New York
- HeartStart HS1 Defibrillator* Event Registry — Pittsburgh, Pennsylvania
- HeartStart FRx Defibrillator Event Registry — Monroeville, Pennsylvania
- ASSURE WCD Clinical Evaluation - Post Approval Study (ACE-PAS) — Seattle, Washington
- HS Students Mandatory Universal Student Instruction in CPR Appraised Learning- Is the Mandate Working? — Overland Park, Kansas
Explore by condition: All Sudden Cardiac Arrest clinical trials
💡 How to Participate
- Check the checklist above to see if you may qualify.
- Contact the study coordinator using the phone/email above.
- Ask about the visit schedule, what is covered at no cost, and any travel support.
- Confirm with your own doctor before making a decision.