Emergency Medicine

Comprehensive Summary

This study evaluated the most effective strategy for delivering extracorporeal cardiopulmonary resuscitation (ECPR) in refractory out-of-hospital cardiac arrest (OHCA) within a dense urban emergency system using Monte Carlo simulations. Investigators applied 2,000 geospatial simulations using 2-15-2019 OHCA data from a single metropolitan EMS based in Montreal (~1,240 cases/iteration) to compare six ECPR strategies: in hospital (2,3, 4 sites), a rendezvous team, and two prehospital teams (hospital based, optimally located). Eligibility required witnessed arrest, bystander CPR, and age ≤70 years, yielding 255 eligible OHCA cases per iteration. Simulations evaluated survival with favorable neurological status at 6 months (CPC 1–2), the proportion achieving flow recovery ≤60 minutes (ROSC or ECMO), and low flow time. Expanding in-hospital sites from 2 to 4 increased CPC 1–2 from 25.3% (95% CI 25.2-25.4) to 28.0% (27.9-28.1)–about 65 to 71 cases in the 255 iteration–and increased flow ≤60 minutes from 69.2% (69.1-69.3) to 75.1% (75.0-75.3). Low flow was reduced by ~2.4 minutes. The rendezvous model achieved 28.8% (28.7-29.0) CPC 1–2 and 77.3% (77.1-77.4) ≤60 minutes flow, with ~2.9 minutes less low flow. Prehospital strategies produced the largest gains: the hospital-based team achieved 39.5% (39.3-39.6) CPC 1–2 and 99.7% (99.6-99.7) flow, with ~7.8 minutes less low flow,while the optimally located team achieved 42.0% (41.8-42.1) CPC 1–2 and 100.0% flow, with ~12.0 minutes less low-flow. These findings suggest prehospital teams could increase equitable access to sub-60-minute ECPR in urban settings, if staffing and mobile ECMO resources are available.

Outcomes and Implications

Limitations include the reliance on simulated data without external validation, modeling survival based only on low-flow time, and the omission of other survival factors like rhythm or comorbidities, which may limit generalizability.

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© 2025 AIIM. Created by AIIM IT Team

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© 2025 AIIM. Created by AIIM IT Team

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© 2025 AIIM. Created by AIIM IT Team