Literature DB >> 17630089

The effect of ischemia on ventricular fibrillation as measured by fractal dimension and frequency measures.

Lawrence D Sherman1, James T Niemann, John P Rosborough, James J Menegazzi.   

Abstract

INTRODUCTION: Most animal studies of ventricular fibrillation (VF) waveform characteristics involve healthy animals with VF initiated by electric shock. However, clinical VF is usually the result of ischemia. The waveform characteristics in these two types of VF may differ. The angular velocity (AV), frequency ratio (FR) and median frequency (MF) are three frequency-based measures of VF. The scaling exponent (ScE), the logarithm of the absolute correlations (LAC) and the Hurst exponent (HE) are three measures of the fractal dimension of VF. HYPOTHESIS: We hypothesized that these quantitative measures would differ between ischemic and electrically initiated VF.
METHODS: VF was induced in 14 swine by electric shock and in 12 swine by ischemia. For ischemia induced VF animals, an angioplasty catheter was positioned in the mid-LAD and the balloon inflated. A mean of 891+/-608 (S.D.)s later, VF occurred. For electrically induced animals, an AC current was passed through a catheter in the RV. Following initiation by either method, VF was recorded for 7min. Sequential 5s epochs were analyzed for AV, FR, MF and fractal dimension measures.
RESULTS: Ischemic VF demonstrated a significantly higher fractal dimension as estimated by the ScE for the first 0-90s (p=0.021) and for 90-180s (p=0.016). The Hurst exponent was significantly higher for ischemic VF for both 0-90s (p<0.0001) and 90-180s (p<0.0001). The fractal dimension as estimated by the LAC method was not significantly different for 0-90s (p=0.056) but was highly significant for 90-180s (p=0.001). During the initial 90s the groups did differ in all measures of frequency as follows: AV (p<0.001), FR (p<0.001), MF (p<0.001). These differences did not persist beyond 90s except for a mild elevation of the FR after 270s (p<0.02).
CONCLUSION: Fractal based measures indicate an increase in the fractal dimension of ischemia induced VF for the first 180s when compared to electrically induced VF. Frequency-based measures uniformly demonstrate a pattern of higher frequencies for electrically induced VF for the first 90s. The increased fractal dimension and decreased frequencies associated with ischemia induced VF may reflect changes in the underlying myocardial physiology that can be used to guide therapies.

Entities:  

Mesh:

Year:  2007        PMID: 17630089      PMCID: PMC2211328          DOI: 10.1016/j.resuscitation.2007.05.019

Source DB:  PubMed          Journal:  Resuscitation        ISSN: 0300-9572            Impact factor:   5.262


  19 in total

1.  Scaling exponent predicts defibrillation success for out-of-hospital ventricular fibrillation cardiac arrest.

Authors:  C W Callaway; L D Sherman; V N Mosesso; T J Dietrich; E Holt; M C Clarkson
Journal:  Circulation       Date:  2001-03-27       Impact factor: 29.690

2.  Scaling structure of electrocardiographic waveform during prolonged ventricular fibrillation in swine.

Authors:  C W Callaway; L D Sherman; M D Scheatzle; J J Menegazzi
Journal:  Pacing Clin Electrophysiol       Date:  2000-02       Impact factor: 1.976

3.  The frequency ratio: an improved method to estimate ventricular fibrillation duration based on Fourier analysis of the waveform.

Authors:  Lawrence D Sherman
Journal:  Resuscitation       Date:  2006-03-23       Impact factor: 5.262

4.  Angular velocity: a new method to improve prediction of ventricular fibrillation duration.

Authors:  Lawrence D Sherman; Aron Flagg; Clifton W Callaway; James J Menegazzi; Margaret Hsieh
Journal:  Resuscitation       Date:  2004-01       Impact factor: 5.262

Review 5.  Monitoring during cardiac arrest: are we there yet?

Authors:  Melinda M Hayes; Robert Allen Berg; Charles W Otto
Journal:  Curr Opin Crit Care       Date:  2003-06       Impact factor: 3.687

6.  Precountershock cardiopulmonary resuscitation improves ventricular fibrillation median frequency and myocardial readiness for successful defibrillation from prolonged ventricular fibrillation: a randomized, controlled swine study.

Authors:  Robert Allen Berg; Ronald Willard Hilwig; Karl B Kern; Gordon Allen Ewy
Journal:  Ann Emerg Med       Date:  2002-12       Impact factor: 5.721

7.  Influence of time and therapy on ventricular defibrillation in dogs.

Authors:  R W Yakaitis; G A Ewy; C W Otto; D L Taren; T E Moon
Journal:  Crit Care Med       Date:  1980-03       Impact factor: 7.598

8.  Ventricular fibrillation scaling exponent can guide timing of defibrillation and other therapies.

Authors:  James J Menegazzi; Clifton W Callaway; Lawrence D Sherman; David P Hostler; Henry E Wang; Kristofer C Fertig; Eric S Logue
Journal:  Circulation       Date:  2004-02-02       Impact factor: 29.690

9.  Delaying defibrillation to give basic cardiopulmonary resuscitation to patients with out-of-hospital ventricular fibrillation: a randomized trial.

Authors:  Lars Wik; Trond Boye Hansen; Frode Fylling; Thorbjørn Steen; Per Vaagenes; Bjørn H Auestad; Petter Andreas Steen
Journal:  JAMA       Date:  2003-03-19       Impact factor: 56.272

10.  Immediate defibrillation versus interventions first in a swine model of prolonged ventricular fibrillation.

Authors:  James J Menegazzi; Henry E Wang; Christopher B Lightfoot; Kristofer C Fertig; Nicole L Chengelis; Lawrence D Sherman; Clifton W Callaway
Journal:  Resuscitation       Date:  2003-11       Impact factor: 5.262

View more
  4 in total

1.  Predictive value of amplitude spectrum area of ventricular fibrillation waveform in patients with acute or previous myocardial infarction in out-of-hospital cardiac arrest.

Authors:  Michiel Hulleman; David D Salcido; James J Menegazzi; Patrick C Souverein; Hanno L Tan; Marieke T Blom; Rudolph W Koster
Journal:  Resuscitation       Date:  2017-08-24       Impact factor: 5.262

2.  Quantitative waveform measures of the electrocardiogram as continuous physiologic feedback during resuscitation with cardiopulmonary bypass.

Authors:  David D Salcido; Young-Min Kim; Lawrence D Sherman; Greggory Housler; Xiaoyi Teng; Eric S Logue; James J Menegazzi
Journal:  Resuscitation       Date:  2011-10-01       Impact factor: 5.262

3.  The influence of myocardial substrate on ventricular fibrillation waveform: a swine model of acute and postmyocardial infarction.

Authors:  Julia H Indik; Richard L Donnerstein; Ronald W Hilwig; Mathias Zuercher; Justin Feigelman; Karl B Kern; Marc D Berg; Robert A Berg
Journal:  Crit Care Med       Date:  2008-07       Impact factor: 7.598

4.  Computerized Analysis of the Ventricular Fibrillation Waveform Allows Identification of Myocardial Infarction: A Proof-of-Concept Study for Smart Defibrillator Applications in Cardiac Arrest.

Authors:  Jos Thannhauser; Joris Nas; Dennis J Rebergen; Sjoerd W Westra; Joep L R M Smeets; Niels Van Royen; Judith L Bonnes; Marc A Brouwer
Journal:  J Am Heart Assoc       Date:  2020-10-02       Impact factor: 5.501

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.