Cardiac arrest & resuscitation
Population-level impact of universal early AED implementation on out-of-hospital cardiac arrest outcomes: a machine learning analysis using synthetic patient data of 45-year projection study from Japan
Main finding · Favorable neurological outcomeResult — go to the resultRelative risk 2.16 95% CI 2.07–2.25Authors' conclusion
Machine learning-based modeling projects that universal bystander AED application in Japan over a period of four and a half decades could prevent approximately 235,000 deaths and result in 160,000 more survivors with good neurological recovery after OHCA.
Study context
- Population
- OHCA in Japan (synthetic registry-based dataset), projected through 2075synthetic dataset
- Participants
- 966,493 participants
- Exposure
- Universal early AED application vs current patterns
- Outcome
- One-month survival and favorable neurological outcome (CPC 1 or 2)
- Follow-up
- One month
Methodological detailssynthetic data from 2022 All-Japan Utstein Registry, Classification and Regression Trees, 45-year projection (2030-2075), modified Poisson regression
- Synthetic data from 2022 All-Japan Utstein Registry
- Classification and Regression Trees
- 45-year projection (2030-2075)
- Modified Poisson regression
Main finding
Favorable neurological outcome · peak effectiveness 2055-2060
Relative risk
2.16
95% CI 2.07–2.25
As reported in the abstract
Observational data: associations, not effects.
Further findings
Deaths prevented over 45-year projection (2030-2075)
- Deaths prevented (approximately)
- 235,000 (95% CI, 210,500-261,500)
Additional survivors with good neurological recovery over 45-year projection · 2030-2075
- Additional survivors with good neurological recovery
- 160,000 (95% CI, 142,000-181,000)
NNT (witnessed OHCA receiving bystander AED within 5 min) for one additional favorable neurological outcome
- NNT
- 19-29 (median 24)
Original publication
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