Literature DB >> 11204089

Pacing during ventricular fibrillation: factors influencing the ability to capture.

J C Newton1, J Huang, J M Rogers, D L Rollins, G P Walcott, W S Smith, R E Ideker.   

Abstract

INTRODUCTION: Recent studies showed that pacing atrial and ventricular fibrillation (VF) is possible. The studies presented here determined which parameters influence the efficacy of a pacing train to capture fibrillating ventricular myocardium. Electrode type, current strength, order of pacing trains, polarity, and VF morphology preceding the pacing trains were investigated. METHODS AND
RESULTS: A 504-electrode recording plaque sutured to the right ventricle of pig hearts was used to record the activations of VF and those resulting from the pacing stimulation. Capture of VF by pacing was determined by observing an animated display of the first temporal derivative of the electrograms. A series of electrodes in a line captured the heart more frequently during VF than did a point electrode. Increasing the current strength to 10 x diastolic pacing threshold increased the incidence of capture, but increasing this strength further did not. The second or third train of 40 stimuli had greater capture rates than did the first train during the same VF episode. Anodal and cathodal unipolar, and bipolar stimulation were equally efficacious in capturing VF. VF activation during the 1-second interval preceding pacing was more organized for pacing trains that captured than those that did not. The highest incidence of capture, 46% to 61% of pacing trains, occurred with a line of electrodes at 10 x diastolic pacing threshold delivered by the second or third train.
CONCLUSION: The probability of a pacing train capturing fibrillating myocardium can be influenced by the pacing protocol parameters.

Entities:  

Mesh:

Year:  2001        PMID: 11204089     DOI: 10.1046/j.1540-8167.2001.00076.x

Source DB:  PubMed          Journal:  J Cardiovasc Electrophysiol        ISSN: 1045-3873


  6 in total

Review 1.  Mechanisms of defibrillation.

Authors:  Derek J Dosdall; Vladimir G Fast; Raymond E Ideker
Journal:  Annu Rev Biomed Eng       Date:  2010-08-15       Impact factor: 9.590

2.  A model for multi-site pacing of fibrillation using nonlinear dynamics feedback.

Authors:  Victor D Hosfeld; Steffan Puwal; Keith Jankowski; Bradley J Roth
Journal:  J Biol Phys       Date:  2007-12-07       Impact factor: 1.365

3.  During Early VF in Rabbit Hearts, His Bundle Pacing is Less Effective Than Working Myocardial Pacing in Modulating Left Ventricular Activation Rates.

Authors:  Ankur R Shah; Muhammad S Khan; Matthias Lange; Annie M Hirahara; Gregory Stoddard; Ravi Ranjan; Derek J Dosdall
Journal:  Cardiovasc Eng Technol       Date:  2021-11-23       Impact factor: 2.305

4.  Novel technique for cardiac electromechanical mapping with magnetic resonance imaging tagging and an epicardial electrode sock.

Authors:  Owen P Faris; Frank J Evans; Daniel B Ennis; Patrick A Helm; Joni L Taylor; A Scott Chesnick; Michael A Guttman; Cengizhan Ozturk; Elliot R McVeigh
Journal:  Ann Biomed Eng       Date:  2003-04       Impact factor: 3.934

5.  Capture of activation during ventricular arrhythmia using distributed stimulation.

Authors:  Jason M Meunier; Sanjiv Ramalingam; Shien-Fong Lin; Abhijit R Patwardhan
Journal:  J Interv Card Electrophysiol       Date:  2007-05-23       Impact factor: 1.900

6.  Transmural optical measurements of Vm dynamics during long-duration ventricular fibrillation in canine hearts.

Authors:  Wei Kong; Raymond E Ideker; Vladimir G Fast
Journal:  Heart Rhythm       Date:  2009-02-24       Impact factor: 6.343

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.