Predicting the success of defibrillation by electrocardiographic analysis

Póvoas, Heitor P.; Weil, Max Harry; Tang, Wanchun; Bisera, Joe; Klouche, Kada; Barbatsis, Ann

doi:10.1016/s0300-9572(01)00488-9

Cited by 116 publications

(68 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In a porcine model, the median frequency (CF correspondent) improved with CPR with no significant change in the amplitude (ENRG correspondent). 8 In other pig models, both Marn-Pernat et al 11 and Povoas et al 12 reported that AMSA improved with CPR. Marn-Pernat et al 11 demonstrated that both AMSA and ROSC increased with an increased duration of CPR.…”

Section: Discussionmentioning

confidence: 96%

“…The amplitude spectrum relationship (AMSA) emphasizes the high-frequency characteristics of the waveform by computing the sum of each frequency component amplitude weighted by the corresponding frequency. 11,12 Centroid frequency (CF) quantifies the frequency characteristics of the waveform by computing the frequency corresponding to the point of mass in the spectrum. 9 CF emphasizes the low-frequency content of VF.…”

Section: Calculating and Evaluating Predictors Of Roscmentioning

confidence: 99%

“…8 -12 This has previously been shown in animal experiments. 8,11,12 Therefore, the present analysis evaluates VF waveforms during periods of CPR in ECGs taken from patients in the study by Wik et al 4 We used previously published predictors of defibrillation success to quantify waveform changes. 9,[13][14][15] Because their predictive capabilities vary and not all of them have been reported on with human data, this aspect was evaluated in a separate data set.…”

mentioning

confidence: 99%

See 2 more Smart Citations

Effects of Cardiopulmonary Resuscitation on Predictors of Ventricular Fibrillation Defibrillation Success During Out-of-Hospital Cardiac Arrest

2004

View full text Add to dashboard Cite

Background-Early defibrillation is considered the most important factor for restoring spontaneous circulation in cardiac arrest patients with ventricular fibrillation. Recent studies have shown that, after prolonged ventricular fibrillation, the rates of return of spontaneous circulation (ROSC) and survival are improved if defibrillation is delayed so that CPR can be given first. To examine whether CPR improves myocardial readiness for defibrillation, we analyzed whether CPR causes changes in predictors of defibrillation success calculated from the ventricular fibrillation waveform. Methods and Results-ECG recordings were retrieved for 105 patients from an original study of 200 patients receiving CPR or defibrillation first. Altogether, 267 CPR sequences from 77 patients were identified on which the effect of CPR could be evaluated. Five predictors of ROSC (spectral flatness measure, energy, centroid frequency, amplitude spectrum relationship, and estimated probability of ROSC) were determined from a spectral analysis of the ventricular fibrillation waveform immediately before and immediately after each of the 267 sequences. CPR increased spectral flatness measure, centroid frequency, and amplitude spectrum relationship (PϽ0. 05, PϽ0.001, PϽ0.01). In an analysis of the effect of the duration of CPR, the probability of ROSC and amplitude spectrum relationship showed a positive change for CPR sequences lasting Ͼ3 minutes (PϽ0.001, PϽ0.05). Conclusions-During

show abstract

Section: Discussionmentioning

confidence: 96%

Section: Calculating and Evaluating Predictors Of Roscmentioning

confidence: 99%

mentioning

confidence: 99%

See 1 more Smart Citation

Effects of Cardiopulmonary Resuscitation on Predictors of Ventricular Fibrillation Defibrillation Success During Out-of-Hospital Cardiac Arrest

2004

View full text Add to dashboard Cite

show abstract

“…If VF is left untreated, both dominant and median VF frequencies decline and increased risk of unsuccessful defibrillation or chance for electromechanical dissociation after defibrillation exists (11,(30)(31)(32)(33)(34)(35). Other reports have found threshold values of fibrillation MF predicting the results of defibrillation (11,17,19).…”

Section: Mf During Full-flow Ecmo Phase and Resuscitabilitymentioning

confidence: 99%

“…The effect of various VF analysis strategies, including VF wavelet frequency based parameters, has been investigated in prediction of countershock success (2)(3)(4)(5)(6)(7)(8)(9)(10). It has been shown that duration of VF, effectiveness of cardiopulmonary resuscitation (CPR) (2,(11)(12)(13)(14) or administration of vasopressors (15,16) can cause changes in the power spectrum of the VF wavelet frequency with an attendant chance for return of spontaneous circulation (ROSC) rate (2,(11)(12)(13)(14)(15)(16). Extracorporeal membrane oxygenation (ECMO) is increasingly used in adult cardiac arrest (CA) of any rhythm (17)(18)(19)(20)(21)(22)(23)(24)(25).…”

Section: Introductionmentioning

confidence: 99%

Median Frequencies of Prolonged Ventricular Fibrillation treated by V-A ECMO Correspond to a Return of Spontaneous Circulation Rate

et al. 2014

View full text Add to dashboard Cite

Background The aim of our study was to analyze, in a pig model of prolonged ventricular fibrillation (VF) treated by veno-arterial extracorporeal membrane oxygenation (ECMO), the time dependent changes of VF wavelet frequency obtained from intracardial signals and its relations to return of spontaneous circulation (ROSC). Methods 11 female pigs (50.3 ± 3.4 kg) under general anesthesia had undergone 15 min of VF with ECMO flow of 5 to 10 ml/kg per min simulating “untreated” VF followed by continued VF with full ECMO flow of 100 ml/kg per min. The median frequency (MF) of VF from right ventricular apex, coronary perfusion pressure, myocardial oxygen metabolism and resuscitability were determined. Results Median (interquartile range) of MF of fibrillatory wavelets in minute 15 of low ECMO flow [9.7 Hz (8.3; 10.1)] was not significantly changed in comparison to minute 1 [10.5 Hz (9.8; 12.4)], p = 0.12. Five minutes after full ECMO initiation MF increased [11.6 Hz (10.6; 13.5)], p = 0.04 (compared to minute 15 of VF) and did not deteriorate during the rest of ECMO treatment. Out of all subjects, three animals did not reach ROSC. Those subjects demonstrated deeper decrease of MF at the VF minute 15 as compared to others [-2.4 Hz (-2.5; −2.3) vs. −0.6 Hz (-1.6; −0.1)] and continuously significantly higher increase in MF on full ECMO support [4.3 Hz (2.9; 5.6) vs. 1.1 Hz (0.6; 1.6)] with p = 0.05 for both observations, respectively. Conclusions The veno-arterial ECMO reperfusion influences MF of VF wavelet obtained from right ventricular apex. The course of changes in wavelet frequency corresponds to a presence of later ROSC.

show abstract

Phase Mapping of Cardiac Fibrillation: Applications in Studying Human Ventricular Fibrillation

2012

View full text Add to dashboard Cite

Predicting the success of defibrillation by electrocardiographic analysis

Cited by 116 publications

References 18 publications

Effects of Cardiopulmonary Resuscitation on Predictors of Ventricular Fibrillation Defibrillation Success During Out-of-Hospital Cardiac Arrest

Effects of Cardiopulmonary Resuscitation on Predictors of Ventricular Fibrillation Defibrillation Success During Out-of-Hospital Cardiac Arrest

Median Frequencies of Prolonged Ventricular Fibrillation treated by V-A ECMO Correspond to a Return of Spontaneous Circulation Rate

Phase Mapping of Cardiac Fibrillation: Applications in Studying Human Ventricular Fibrillation

Contact Info

Product

Resources

About