Cardiac arrest & resuscitation

The diagnostic accuracy of a shock advisory algorithm in automated external defibrillators in the presence of real-world artifacts

ResuscitationPublished Diagnostic accuracy study

Authors' conclusion

The performance of this shock advisory algorithm during real-world resuscitations with or without artifacts, exceeded AHA recommendations and the requirements in international standards.

Study context

Population
ECG rhythm analyses recorded during real-world use of three AED modelsrhythm analyses
Participants
3,941 analyses
Comparison
AED shock advisory algorithm vs expert annotation
Outcome
Sensitivity and specificity of shock recommendations vs expert annotation
Methodological detailsretrospective
  • Retrospective

Performance

As reported in the abstract

Diagnostic accuracy of shock advisory algorithm vs expert annotation (all analyses)

Overall sensitivity

97.1%

601/619

Overall specificity

99.9%

2,908/2,912

Further findings

Artifacts detected by the algorithm

Analysis periods with artifacts detected
23.3% (918/3,941)

Diagnostic accuracy, analysis periods with artifacts detected

Sensitivity
95.2% (80/84)
Specificity
100.0% (687/687)

Diagnostic accuracy, analysis periods with no artifacts detected

Sensitivity
97.4% (521/535)
Specificity
99.8% (2,221/2,225)

Original publication

The diagnostic accuracy of a shock advisory algorithm in automated external defibrillators in the presence of real-world artifacts. Resuscitation. Published 11 March 2024. doi:10.1016/j.resuscitation.2024.110173

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

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