Cardiac arrest & resuscitation
The diagnostic accuracy of a shock advisory algorithm in automated external defibrillators in the presence of real-world artifacts
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 →