Cardiac arrest & resuscitation

Design projections for prospective studies evaluating the clinical effectiveness of cardiac arrest detection technologies

ResuscitationPublished Registry-based modelling study

Authors' conclusion

A prospective trial of OHCA detection technologies will require large recruitment targets. Subgroups with the highest estimated treatment effect are not those with the highest incidence.

Study context

Population
Emergency Medical Services (EMS)-treated and EMS-untreated OHCA cases in the British Columbia Cardiac Arrest Registry (2019–2020) who may have benefitted from cardiac arrest detectionpopulation-at-risk 9,739,356
Participants
11,382 participants
Outcome
Required sample sizes for potential primary trial outcomes (survival to hospital discharge, initial shockable rhythm, EMS treatment) by age–sex stratum
Methodological detailstrial design projection, British Columbia Cardiac Arrest Registry, stratified by age and sex
  • Trial design projection
  • British Columbia Cardiac Arrest Registry
  • Stratified by age and sex

Main finding

As reported in the abstract

Required trial sample size, most efficient subgroup

Survival outcome: most efficient subgroup Males aged 56-65, total needed

171,676

EMS treatment outcome: most efficient subgroup Males over 65, total needed

7,608

Initial shockable rhythm outcome: most efficient subgroup Males over 65, total needed

66,962

Observational data: associations, not effects.

Further findings

Strata-specific incidence

Range across age–sex strata
18.3 per 100,000 to 395 per 100,000

Original publication

Design projections for prospective studies evaluating the clinical effectiveness of cardiac arrest detection technologies. Resuscitation. Published 13 June 2025. doi:10.1016/j.resuscitation.2025.110681

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

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