Dynamic nature of electrocardiographic waveform predicts rescue shock outcome in porcine ventricular fibrillation

Lightfoot, Christopher B.; Nremt-P,; Callaway, Clifton W.; Hsieh, Margaret; Fertig, Kristofer C.; Sherman, Lawrence; Menegazzi, James J.

doi:10.1067/mem.2003.264

Cited by 28 publications

(8 citation statements)

References 49 publications

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“…[12][13][14][15][16][17] Various properties of the VF waveform have been shown to be strongly predictive of response to defibrillation. [18][19][20][21] Correlations between VF waveform properties and survival have also been shown. 22,23 For this reason, the utility of waveform analysis for the guided management of VF has been suggested.…”

Section: Circulationmentioning

confidence: 99%

Waveform Analysis–Guided Treatment Versus a Standard Shock-First Protocol for the Treatment of Out-of-Hospital Cardiac Arrest Presenting in Ventricular Fibrillation

et al. 2013

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Background-Ventricular fibrillation (VF) waveform properties have been shown to predict defibrillation success and outcomes among patients treated with immediate defibrillation. We postulated that a waveform analysis algorithm could be used to identify VF unlikely to respond to immediate defibrillation, allowing selective initial treatment with cardiopulmonary resuscitation in an effort to improve overall survival. Methods and Results-In a multicenter, double-blind, randomized study, out-of-hospital cardiac arrest patients in 2 urban emergency medical services systems were treated with automated external defibrillators using either a VF waveform analysis algorithm or the standard shock-first protocol. The VF waveform analysis used a predefined threshold value below which return of spontaneous circulation (ROSC) was unlikely with immediate defibrillation, allowing selective treatment with a 2-minute interval of cardiopulmonary resuscitation before initial defibrillation.

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Section: Circulationmentioning

confidence: 99%

Waveform Analysis–Guided Treatment Versus a Standard Shock-First Protocol for the Treatment of Out-of-Hospital Cardiac Arrest Presenting in Ventricular Fibrillation

et al. 2013

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“…The ranges of k previously used for computing ScE in porcine model of VF corresponded (collectively) to frequency range 25−200 Hz [1,3,17]. We argue that in this frequency range the representation of cardiac VF waves is minor and is overshadowed by extracardiac sources including SMA.…”

Section: Is Sce a Reliable Measure Of Vf Organization?mentioning

confidence: 79%

“…It should be noted that the value of ScE may depend on fitting interval of k . This interval varied in previous studies [1,3,17]. We used two different fitting intervals (1 to 8 and 5 to 20 points) for calculation of ScE and designated them as ScE 1−8 and ScE 5−20 , respectively.…”

Section: Methodsmentioning

confidence: 99%

“…ScE was recently introduced as a measure of ECG organization during VF [1][2][3][4][5][6][7][8][9]17]. It was postulated that ScE distinguishes "coarse" VF (low value of ScE close to 1) from "fine" VF (high value of ScE close to 2) and can provide a means to estimate VF duration [2] and to predict the outcome of rescue shocks [1].…”

Section: Is Sce a Reliable Measure Of Vf Organization?mentioning

confidence: 99%

“…The value of ScE depends on the determination of the range of time scales over which ECG presumably exhibits scaling properties. Unfortunately, any rigorous criteria for the choice of this range are lacking and it varied substantially in previous studies [1,3,17]. It should be noted however that the value of ScE is very sensitive to the choice of the fitting interval.…”

Section: Is Sce a Reliable Measure Of Vf Organization?mentioning

confidence: 99%

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Influence of the skeletal muscle activity on time and frequency domain properties of the body surface ECG during evolving ventricular fibrillation in the pig

et al. 2008

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Aim of the study-To evaluate influence of the skeletal muscle activity (SMA) on time and frequency domain properties of ECG during VF.Materials and methods-We studied the first 9 minutes of electrically induced VF (N=7). We recorded Lead II ECG, 247 unipolar epicardial ventricular electrograms (UEGs) and 3 bipolar skeletal electromyograms (EMGs) near the positions of the ECG electrodes (sampling rate, 500Hz). We reconstructed ECG (RECG) from UEGs using forward-solution transformation matrix. Spectral properties of ECG, RECG, UEGs and MEGs were assessed in the range 2−250Hz by the median frequency (MF) and the upper limit of frequency range containing 99% of spectral energy (F lim (99)). Scaling exponent of ECG, RECG and EMGs was calculated in the ranges of 1−8 and 5−20 sampling intervals (ScE 1−8 and ScE 5−20 , respectively). Conclusion-SMA significantly contributes to ECG during VF and can bias metrics used for assessment of VF organization. Results-We observed non-monotonic increases in MF and

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Elektrische Therapie: automatisierte externe Defibrillatoren, Defibrillation, Kardioversion und Schrittmachertherapie

Deakin¹,

Nolan²,

Domanovits³

2006

Notfall + Rettungsmedizin

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Dynamic nature of electrocardiographic waveform predicts rescue shock outcome in porcine ventricular fibrillation

Cited by 28 publications

References 49 publications

Waveform Analysis–Guided Treatment Versus a Standard Shock-First Protocol for the Treatment of Out-of-Hospital Cardiac Arrest Presenting in Ventricular Fibrillation

Waveform Analysis–Guided Treatment Versus a Standard Shock-First Protocol for the Treatment of Out-of-Hospital Cardiac Arrest Presenting in Ventricular Fibrillation

Influence of the skeletal muscle activity on time and frequency domain properties of the body surface ECG during evolving ventricular fibrillation in the pig

Elektrische Therapie: automatisierte externe Defibrillatoren, Defibrillation, Kardioversion und Schrittmachertherapie

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