Cargando…

Quantitative spectral assessment of intracardiac electrogram characteristics associated with post infarct fibrosis and ventricular tachycardia

BACKGROUND: Post-myocardial infarction (MI) remodeling contributes to increased electrophysiological and structural heterogeneity and arrhythmogenesis. Utilising the post-infarct ovine model our aim was to determine unipolar electrogram frequency characteristics consequent to this remodeling and the...

Descripción completa

Detalles Bibliográficos
Autores principales: Morellato, John, Chik, William, Barry, M. A., Lu, Juntang, Thiagalingam, Aravinda, Kovoor, Pramesh, Pouliopoulos, Jim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6173422/
https://www.ncbi.nlm.nih.gov/pubmed/30289934
http://dx.doi.org/10.1371/journal.pone.0204997
_version_ 1783361126116884480
author Morellato, John
Chik, William
Barry, M. A.
Lu, Juntang
Thiagalingam, Aravinda
Kovoor, Pramesh
Pouliopoulos, Jim
author_facet Morellato, John
Chik, William
Barry, M. A.
Lu, Juntang
Thiagalingam, Aravinda
Kovoor, Pramesh
Pouliopoulos, Jim
author_sort Morellato, John
collection PubMed
description BACKGROUND: Post-myocardial infarction (MI) remodeling contributes to increased electrophysiological and structural heterogeneity and arrhythmogenesis. Utilising the post-infarct ovine model our aim was to determine unipolar electrogram frequency characteristics consequent to this remodeling and the development of Ventricular Tachycardia (VT). METHODS AND RESULTS: Mapping studies were performed on 14 sheep at >1 month post-MI induction. Sheep were divided into VT inducible (n = 7) and non-inducible (n = 7) groups. Multielectrode needles (n = 20) were deployed within and surrounding ventricular scar for electrophysiological assessment of electrogram amplitude and width. Spectral analysis of electrograms was undertaken using wavelet and fast fourier transformations (WFFT) to calculate root mean square (RMS) power intervals spanning 0-300Hz in 20Hz intervals. Quantitative assessment between electrophysiological and histological parameters including collagen density, and structural organization of the myocardium was performed. Increasing myocardial scar density resulted in attenuation of electrogram amplitude and RMS values. (all p<0.01). Between groups there were no differences in electrogram amplitude (p = 0.37), however WFFT analysis revealed significantly higher RMS values in the VT group (p<0.05) in association with high frequency fractional components of the electrogram. As scar density increased, greater between-group differences in RMS were observed spanning this high frequency (200-280Hz) spectrum and which were proportionally dependent on the degree of structural disorganisation of the myocardium (p<0.001) and number of extrastimuli required to induce VT (p<0.05). CONCLUSION: High frequency unipolar electrogram spectral characteristics were quantitatively co-influenced by the presence of fibrosis and degree of myocardial structural dissorganisation and were associated with the propensity for development of VT.
format Online
Article
Text
id pubmed-6173422
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-61734222018-10-19 Quantitative spectral assessment of intracardiac electrogram characteristics associated with post infarct fibrosis and ventricular tachycardia Morellato, John Chik, William Barry, M. A. Lu, Juntang Thiagalingam, Aravinda Kovoor, Pramesh Pouliopoulos, Jim PLoS One Research Article BACKGROUND: Post-myocardial infarction (MI) remodeling contributes to increased electrophysiological and structural heterogeneity and arrhythmogenesis. Utilising the post-infarct ovine model our aim was to determine unipolar electrogram frequency characteristics consequent to this remodeling and the development of Ventricular Tachycardia (VT). METHODS AND RESULTS: Mapping studies were performed on 14 sheep at >1 month post-MI induction. Sheep were divided into VT inducible (n = 7) and non-inducible (n = 7) groups. Multielectrode needles (n = 20) were deployed within and surrounding ventricular scar for electrophysiological assessment of electrogram amplitude and width. Spectral analysis of electrograms was undertaken using wavelet and fast fourier transformations (WFFT) to calculate root mean square (RMS) power intervals spanning 0-300Hz in 20Hz intervals. Quantitative assessment between electrophysiological and histological parameters including collagen density, and structural organization of the myocardium was performed. Increasing myocardial scar density resulted in attenuation of electrogram amplitude and RMS values. (all p<0.01). Between groups there were no differences in electrogram amplitude (p = 0.37), however WFFT analysis revealed significantly higher RMS values in the VT group (p<0.05) in association with high frequency fractional components of the electrogram. As scar density increased, greater between-group differences in RMS were observed spanning this high frequency (200-280Hz) spectrum and which were proportionally dependent on the degree of structural disorganisation of the myocardium (p<0.001) and number of extrastimuli required to induce VT (p<0.05). CONCLUSION: High frequency unipolar electrogram spectral characteristics were quantitatively co-influenced by the presence of fibrosis and degree of myocardial structural dissorganisation and were associated with the propensity for development of VT. Public Library of Science 2018-10-05 /pmc/articles/PMC6173422/ /pubmed/30289934 http://dx.doi.org/10.1371/journal.pone.0204997 Text en © 2018 Morellato et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Morellato, John
Chik, William
Barry, M. A.
Lu, Juntang
Thiagalingam, Aravinda
Kovoor, Pramesh
Pouliopoulos, Jim
Quantitative spectral assessment of intracardiac electrogram characteristics associated with post infarct fibrosis and ventricular tachycardia
title Quantitative spectral assessment of intracardiac electrogram characteristics associated with post infarct fibrosis and ventricular tachycardia
title_full Quantitative spectral assessment of intracardiac electrogram characteristics associated with post infarct fibrosis and ventricular tachycardia
title_fullStr Quantitative spectral assessment of intracardiac electrogram characteristics associated with post infarct fibrosis and ventricular tachycardia
title_full_unstemmed Quantitative spectral assessment of intracardiac electrogram characteristics associated with post infarct fibrosis and ventricular tachycardia
title_short Quantitative spectral assessment of intracardiac electrogram characteristics associated with post infarct fibrosis and ventricular tachycardia
title_sort quantitative spectral assessment of intracardiac electrogram characteristics associated with post infarct fibrosis and ventricular tachycardia
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6173422/
https://www.ncbi.nlm.nih.gov/pubmed/30289934
http://dx.doi.org/10.1371/journal.pone.0204997
work_keys_str_mv AT morellatojohn quantitativespectralassessmentofintracardiacelectrogramcharacteristicsassociatedwithpostinfarctfibrosisandventriculartachycardia
AT chikwilliam quantitativespectralassessmentofintracardiacelectrogramcharacteristicsassociatedwithpostinfarctfibrosisandventriculartachycardia
AT barryma quantitativespectralassessmentofintracardiacelectrogramcharacteristicsassociatedwithpostinfarctfibrosisandventriculartachycardia
AT lujuntang quantitativespectralassessmentofintracardiacelectrogramcharacteristicsassociatedwithpostinfarctfibrosisandventriculartachycardia
AT thiagalingamaravinda quantitativespectralassessmentofintracardiacelectrogramcharacteristicsassociatedwithpostinfarctfibrosisandventriculartachycardia
AT kovoorpramesh quantitativespectralassessmentofintracardiacelectrogramcharacteristicsassociatedwithpostinfarctfibrosisandventriculartachycardia
AT pouliopoulosjim quantitativespectralassessmentofintracardiacelectrogramcharacteristicsassociatedwithpostinfarctfibrosisandventriculartachycardia