Cardiac arrest & resuscitation
Optimizing extracorporeal cardiopulmonary resuscitation delivery for out-of-hospital cardiac arrest: a Monte Carlo simulation study
Authors' conclusion
In this simulation, prehospital ECPR strategies showed the potential to increase survival, improve flow recovery at 60 min, and reduce low-flow times in urban OHCA.
Study context
- Population
- Simulated urban out-of-hospital cardiac arrest (OHCA) patients meeting extracorporeal cardiopulmonary resuscitation (ECPR) criteria (witnessed arrest, bystander CPR, age ≤ 70 years), Montrealaverage per iteration
- Participants
- 255 patients
- Comparison
- In-hospital ECPR vs rendezvous vs prehospital ECPR strategies
- Outcome
- Survival with favorable neurological outcome (CPC 1-2)
Methodological detailsMonte Carlo simulation, 2000 iterations, historical OHCA data (2015-2019) from Montreal's sole EMS, Transport times estimated using a machine learning model trained on real operational data
- Monte Carlo simulation
- 2000 iterations
- Historical OHCA data (2015-2019) from Montreal's sole EMS
- Transport times estimated using a machine learning model trained on real operational data
Main finding
As reported in the abstract
Further findings
| Outcome | Values | Difference (min) |
|---|---|---|
| Flow recovery at 60 min | 2-hospital 69.2% · 4-hospital 75.1% · Rendezvous 77.3% · Hospital-based 99.7% · Optimally located mobile team 100% | |
| Low-flow time (change)4-hospital vs 2-hospital | −2.4 | |
| Low-flow time (change)Rendezvous vs 2-hospital | −2.9 | |
| Low-flow time (change)Hospital-based vs 2-hospital | −7.8 | |
| Low-flow time (change)Optimally located mobile team vs 2-hospital | −12 |
Original publication
Optimizing extracorporeal cardiopulmonary resuscitation delivery for out-of-hospital cardiac arrest: a Monte Carlo simulation study. Resuscitation. Published 5 August 2025. doi:10.
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