PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
December 1, 2001Critical Care Medicine140 citations

Optimizing timing of ventricular defibrillation

View Full Paper
AMAndreja Marn-PernatMWMax Harry WeilWTWanchun Tang

Key Result

Amplitude spectrum area (AMSA) predicted successful defibrillation with a positive predictive value of 78%, outperforming coronary perfusion pressure (42%), mean amplitude, and median frequency.

Study Design

Type

Observational (n=65)

Structured PICO

Does the amplitude spectrum area (AMSA) predict the likelihood of restoring a perfusing rhythm after electrical shock in a porcine model of ventricular fibrillation?

P
Population
65 domestic pigs in an established porcine model of cardiac arrest with induced ventricular fibrillation (55 in derivation group, 10 in validation group).
I
Intervention
Amplitude spectrum area (AMSA) calculated from scalar lead 2 ECG recordings (4-48 Hz) during ventricular fibrillation.
C
Comparator
Coronary perfusion pressure, mean amplitude, and median frequency.
O
Outcome
Restoration of a perfusing rhythm after electrical shock.surrogate

AMSA accurately predicts successful defibrillation in a porcine model, suggesting a potential method to guide optimal timing of electrical shocks without interrupting CPR.

Main Result

Absolute Event Rate: 78% vs 42%

Abstract

OBJECTIVE: Our intent was to evolve a prognosticator that would predict the likelihood that an electrical shock would restore a perfusing rhythm. Such a prognosticator was to be based on conventional electrocardiographic signals but without constraints caused by artifacts resulting from precordial compression. The adverse effects of "hands off" intervals for rhythm analyses would therefore be minimized. Such a prognosticator was further intended to reduce the number of electrical shocks and the total energy delivered and thereby minimize postresuscitation myocardial dysfunction. DESIGN: Observational study. SUBJECTS: Medical research laboratory of a university-affiliated research and educational institute. SUBJECTS: Domestic pigs. INTERVENTIONS: Ventricular fibrillation was induced in an established porcine model of cardiac arrest. Recordings of scalar lead 2 over the frequency range of 4-48 Hz were utilized. The area under the curve representing the amplitude and frequency was defined as the amplitude spectrum area (AMSA). MEASUREMENTS AND MAIN RESULTS: A derivation group of 55 animals yielded a threshold value of AMSA that uniformly predicted successful resuscitation. A separate group of 10 animals, a validation group, confirmed that an AMSA value of 21 mV.Hz predicted restoration of perfusing rhythm after 7 of 8 electrical shocks and failure of electrical conversion in 21 of 23 electrical shocks, yielding sensitivity and specificity of about 90%. The negative predictive value of AMSA was 95% and statistically equivalent to that of coronary perfusion pressure, mean amplitude, and median frequency. The positive predictive value that would prompt continuation of cardiopulmonary resuscitation without interruption for an unsuccessful defibrillation attempt was greatly improved with AMSA (78%) as compared with coronary perfusion pressure (42%), mean amplitude (32%), and median frequency (29%). CONCLUSION: AMSA has the potential for guiding more optimal timing of defibrillation without adverse interruption of cardiopulmonary resuscitation or the delivery of unsuccessful high energy electrical shocks that contribute to postresuscitation myocardial injury.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Marn-Pernat et al. (2001) conducted an observational in Ventricular fibrillation (n=65). Amplitude spectrum area (AMSA) vs. Coronary perfusion pressure, mean amplitude, and median frequency was evaluated on Positive predictive value for restoration of perfusing rhythm. Amplitude spectrum area (AMSA) predicted successful defibrillation with a positive predictive value of 78%, outperforming coronary perfusion pressure (42%), mean amplitude, and median frequency.

synapsesocial.com/papers/6a101bfd01be78fe81606f5chttps://doi.org/10.1097/00003246-200112000-00019
Ask AI
Helpful
Bookmark
Share
View Full Paper