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ECPR Survivor Estimates: A Simulation-Based Approach to Comparing ECPR Delivery Strategies
Natalie Kruit1,2,3, Changle Song4, David Tian2,5
1Sydney Medical School, University of Sydney, Sydney, Australia.
Prehospital extracorporeal cardiopulmonary resuscitation (ECPR) could significantly improve survival for out-of-hospital cardiac arrest (OHCA) patients. An optimally located ECPR service could save one additional life for every 3.0 patients compared to conventional CPR.
Area of Science:
- Emergency Medicine
- Cardiovascular Research
- Public Health
Background:
- The number of out-of-hospital cardiac arrest (OHCA) patients eligible for prehospital extracorporeal cardiopulmonary resuscitation (ECPR) remains unclear.
- Patient eligibility for ECPR depends on case specifics and proximity to specialized services.
- Accessibility principles applied to historical data can estimate potential ECPR benefit.
Purpose of the Study:
- To determine the number of OHCA patients in Sydney, Australia, eligible for prehospital ECPR.
- To assess the potential survival benefit of a hypothetical prehospital ECPR service.
- To evaluate the impact of transport accessibility on ECPR service delivery.
Main Methods:
- Retrospective analysis of 39,387 cardiac arrests from the NSW registry (Jan 2017 - June 2021).
- Defined ECPR-eligible arrests based on case criteria and refractory status.
- Utilized transport accessibility modeling to simulate prehospital ECPR service coverage and timing.
Main Results:
- 488 OHCA patients were confirmed ECPR-eligible and refractory in Sydney.
- A hypothetical optimally located prehospital ECPR team could treat 437 (90%) patients within 60 minutes.
- Estimated survival with prehospital ECPR was 48%, potentially saving one life per 3.0 patients compared to conventional CPR.
Conclusions:
- A substantial number of OHCA patients could have benefited from prehospital ECPR.
- Prehospital ECPR offers a significant survival advantage over conventional CPR.
- Optimal ECPR service location and accessibility are crucial for maximizing patient survival.
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