Cardiac arrest & resuscitation

Nationwide trends and future projections of out-of-hospital cardiac arrest in Japan: a Bayesian age-period-cohort model and demographic decomposition analysis

ResuscitationPublished Retrospective nationwide population-based study

Authors' conclusion

In Japan, the crude incidence rate of OHCA due to presumed cardiac origin increased from 2009 to 2023, and the incidence is projected to continue increasing through 2030.

Study context

Population
Out-of-hospital cardiac arrest (OHCA) of presumed cardiac origin in Japan, All-Japan Utstein Registry, 2009–20232,009–2023
Participants
1,158,691 participants
Outcome
Incidence of OHCA due to presumed cardiac origin
Methodological detailsage-period-cohort model, Bayesian age-period-cohort model (integrated nested Laplace approximations), demographic decomposition analysis
  • Age-period-cohort model
  • Bayesian age-period-cohort model (integrated nested Laplace approximations)
  • Demographic decomposition analysis

Main finding

As reported in the abstract

Crude incidence rate per 100,000 persons

Crude incidence rate per 100,000 persons, 2009

50.9

Crude incidence rate per 100,000 persons, 2023

72.8

Observational data: associations, not effects.

Further findings

OutcomeRR (95% CI)
Age effectAged ≥90 years vs Aged 45-49 years41.0 (39.8–42.3)
Period effect2019-2023 vs 2009-20131.00 (0.99–1.02)
Cohort effectBorn before 1921 vs Born in 1948 · peak; risk increased in older birth cohorts1.22 (1.20–1.24)

Age effect

OHCA risk increased substantially with increasing age

Decomposition of change in OHCA number, 2009 to 2023

Change in OHCA number
+25,591
Population aging, share of increase
100.5%
Age-specific incidence, share of increase
7.1%
Population growth, share of decrease
7.6%

Projected crude incidence rate per 100,000 persons

2024 (95%PI: 73.6-78.3)
76.0
2030 (95%PI: 66.6-127.7)
97.2
  • Bayesian age-period-cohort projection

Original publication

Nationwide trends and future projections of out-of-hospital cardiac arrest in Japan: a Bayesian age-period-cohort model and demographic decomposition analysis. Resuscitation. Published 10 March 2026. doi:10.1016/j.resuscitation.2026.111052

Composed by AI from the published abstract and checked against it. How Briefs are made →

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