Could a Heart-Lung machine at the scene of a cardiac arrest double survival?
NCT ID NCT07679737
First seen Jul 01, 2026 · Last updated Jul 02, 2026 · Updated 1 time
Summary
This study looks at whether giving people a heart-lung machine (ECPR) right where they collapse from a cardiac arrest can help more of them survive to leave the hospital. Researchers will compare people who get this extra treatment with those who get standard CPR and care. The study includes adults who had a witnessed cardiac arrest, got bystander CPR, and did not recover quickly with standard efforts.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- Extracorporeal cardiopulmonary resuscitation (ECPR)
- What this could lead to
- If it works, this could point toward a way to save more people who suffer a cardiac arrest outside a hospital.
- What could go wrong
- This is an observational study, not a randomized trial, so results may be less reliable. ECPR carries risks like bleeding or infection, and it may not improve survival.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Get updates
Get notified about this study
Sign up to get updates when this study changes or when new studies for EXTRACORPOREAL CARDIOPULMONARY RESUSCITATION are added.
By submitting, you agree to our Terms of use
Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
-
Monash University
Melbourne, Victoria, Australia
More trials for these conditions
Other studies related to the condition(s) this trial covers.
- A needle in the neck to shock the heart back to life?
- Can tracking body heat during cardiac arrest improve survival?
- Can emergency response predict heart restart? a new study investigates
- Can big data unlock the secrets of cardiac arrest survival?
- Double shocks: could two defibrillators save more cardiac arrest patients?
- AI measures muscle to predict cardiac arrest recovery