Fibrillation power, an alternative method of ECG spectral analysis for prediction of countershock success in a porcine model of ventricular fibrillation
Fa. Hamprecht et al., Fibrillation power, an alternative method of ECG spectral analysis for prediction of countershock success in a porcine model of ventricular fibrillation, RESUSCITAT, 50(3), 2001, pp. 287-296
Background: Noninvasive prediction of defibrillation success after cardiac
arrest and cardiopulmonary resuscitation (CPR) may help in determining the
optimal time for a countershock, and thus increase the chance for survival.
Methods: In a porcine model (n = 25) of prolonged cardiac arrest, advanced
cardiac life support was provided by administration of two or three doses
of either vasopressin or epinephrine after 3 or 8 min of basic life support
. After 4 min of ventricular fibrillation and 18 min of life support., defi
brillation was attempted. The denoised power spectral density of 10 s inter
vals of the ventricular fibrillation electrocardiogram (ECG) was estimated
from averaged and smoothed Fourier transforms. We have eliminated the spect
ral contribution of artifacts from manual chest compressions and provide a
definition for the contribution of ventricular fibrillation to the power sp
ectral density. This contribution is quantified and termed "fibrillation po
wer". Results: We tested fibrillation power and two established methods in
their discrimination of survivors (n = 16) vs. non-survivors (n = 9) in the
last minute before the countershock. A fibrillation power greater than or
equal to 79 dB predicted successful defibrillation with sensitivity, specif
icity, positive predictive value and negative predictive value of 98%, 98%,
99% and 97% while a mean fibrillation frequency greater than or equal to 7
.7 Hz was predictive with 85%, 83%, 90% and 77% and a mean amplitude greate
r than or equal to 0.49 mV was predictive with 95%, 90%, 94% and 91%. Concl
usions: We suggest that fibrillation power is an alternative source of info
rmation on the status of a fibrillating heart and that it may match the est
ablished mean frequency and amplitude analysis of ECG in predicting success
ful countershock during CPR. (C) 2001 Elsevier Science Ireland Ltd. All rig
hts reserved.