Cargando…
Beat to beat P wavelet analysis in addition to standard P wave indices as correlates of left atrial extent of low voltage areas in patients with PAF undergoing catheter ablation
FUNDING ACKNOWLEDGEMENTS: Type of funding sources: None. BACKROUND: Left atrium (LA) fibrosis has been shown to be an important factor associated with atrial fibrillation recurrence after catheter ablation (CA). Morphological features of the P wave have been related to the extent of atrial fibrosis...
Autores principales: | , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10207605/ http://dx.doi.org/10.1093/europace/euad122.642 |
_version_ | 1785046494321049600 |
---|---|
author | Sakellaropoulou, A Tachmatzidis, D Filos, D Giannopoulos, G Mouselimis, D Tsarouchas, A Antoniadis, A Efremidis, M Letsas, K Asvestas, D Bogka, C Boulougari, M Chouvarda, I Fragakis, N Vassilikos, V |
author_facet | Sakellaropoulou, A Tachmatzidis, D Filos, D Giannopoulos, G Mouselimis, D Tsarouchas, A Antoniadis, A Efremidis, M Letsas, K Asvestas, D Bogka, C Boulougari, M Chouvarda, I Fragakis, N Vassilikos, V |
author_sort | Sakellaropoulou, A |
collection | PubMed |
description | FUNDING ACKNOWLEDGEMENTS: Type of funding sources: None. BACKROUND: Left atrium (LA) fibrosis has been shown to be an important factor associated with atrial fibrillation recurrence after catheter ablation (CA). Morphological features of the P wave have been related to the extent of atrial fibrosis as identified with electroanatomic mapping (EAM) in patients with paroxysmal atrial fibrillation (PAF) undergoing catheter ablation (CA). The ability to assess, by means of non-invasive markers, the electroanatomical substrate of the LA and the likelihood of PAF recurrence after CA, could be very useful in PAF management, patient selection for CA and improving outcomes. PURPOSE: In the current prospective cohort study we aimed at establishing a pathophysiological basis of beat-to-beat (B2B) P-wave morphological and wavelet analysis, showing that it is associated with areas of considerable fibrosis, as identified with EAM in patients with PAF. METHODS: 44 patients with symptomatic paroxysmal AF, diagnosed at least 6 months before, were enrolled. 12-lead electrocardiogram (ECG) recordings, as well as 12 min vectorcardiogram (VCG) recordings were obtained from all patients, while EAM of left atrium (LA) was performed in all patients before radiofrequency CA. B2B P-wave morphological and wavelet analysis was performed according to a methodology described in previous publications. RESULTS: The 35 patients who were valid for statistical analysis were divided into 2 groups: in Group A the total low-voltage (<0.5 mV in EAM) area was greater than the median value of 5.55% (large low-voltage area), while in Group B the total low-voltage area was <5.55% (small low-voltage area). From the correlation between standard P-wave indices derived from 12-lead ECG and low-voltage areas only P-wave duration was significantly different between the two groups. From orthogonal ECG parameters analysis X axis was the most representative of low-voltage areas. B2B P-wave analysis revealed 3 features which showed a statistically significant difference between the 2 groups and no collinearity (Table 1). Logistic regression analysis of the non correlated variables for the prediction of low-voltage areas is shown in Table 2. It seems that a longer distance between the P-wave peak and the P-wave end, as well as a more «flattened» P-wave (small area with long duration) is associated with larger low-voltage areas and consequently more extensive LA fibrosis. CONCLUSIONS: In patients with PAF and no overt atrial myopathy, B2B wavelet analysis may be a useful non-invasive tool for the prediction of low-voltage areas, representing fibrosis in the LA. Further studies in larger cohorts of patients are needed in order to confirm these findings and enable the use of B2B wavelet analysis in clinical practice. [Figure: see text] [Figure: see text] |
format | Online Article Text |
id | pubmed-10207605 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-102076052023-05-25 Beat to beat P wavelet analysis in addition to standard P wave indices as correlates of left atrial extent of low voltage areas in patients with PAF undergoing catheter ablation Sakellaropoulou, A Tachmatzidis, D Filos, D Giannopoulos, G Mouselimis, D Tsarouchas, A Antoniadis, A Efremidis, M Letsas, K Asvestas, D Bogka, C Boulougari, M Chouvarda, I Fragakis, N Vassilikos, V Europace 9.3.7 - Noninvasive Diagnostic Methods FUNDING ACKNOWLEDGEMENTS: Type of funding sources: None. BACKROUND: Left atrium (LA) fibrosis has been shown to be an important factor associated with atrial fibrillation recurrence after catheter ablation (CA). Morphological features of the P wave have been related to the extent of atrial fibrosis as identified with electroanatomic mapping (EAM) in patients with paroxysmal atrial fibrillation (PAF) undergoing catheter ablation (CA). The ability to assess, by means of non-invasive markers, the electroanatomical substrate of the LA and the likelihood of PAF recurrence after CA, could be very useful in PAF management, patient selection for CA and improving outcomes. PURPOSE: In the current prospective cohort study we aimed at establishing a pathophysiological basis of beat-to-beat (B2B) P-wave morphological and wavelet analysis, showing that it is associated with areas of considerable fibrosis, as identified with EAM in patients with PAF. METHODS: 44 patients with symptomatic paroxysmal AF, diagnosed at least 6 months before, were enrolled. 12-lead electrocardiogram (ECG) recordings, as well as 12 min vectorcardiogram (VCG) recordings were obtained from all patients, while EAM of left atrium (LA) was performed in all patients before radiofrequency CA. B2B P-wave morphological and wavelet analysis was performed according to a methodology described in previous publications. RESULTS: The 35 patients who were valid for statistical analysis were divided into 2 groups: in Group A the total low-voltage (<0.5 mV in EAM) area was greater than the median value of 5.55% (large low-voltage area), while in Group B the total low-voltage area was <5.55% (small low-voltage area). From the correlation between standard P-wave indices derived from 12-lead ECG and low-voltage areas only P-wave duration was significantly different between the two groups. From orthogonal ECG parameters analysis X axis was the most representative of low-voltage areas. B2B P-wave analysis revealed 3 features which showed a statistically significant difference between the 2 groups and no collinearity (Table 1). Logistic regression analysis of the non correlated variables for the prediction of low-voltage areas is shown in Table 2. It seems that a longer distance between the P-wave peak and the P-wave end, as well as a more «flattened» P-wave (small area with long duration) is associated with larger low-voltage areas and consequently more extensive LA fibrosis. CONCLUSIONS: In patients with PAF and no overt atrial myopathy, B2B wavelet analysis may be a useful non-invasive tool for the prediction of low-voltage areas, representing fibrosis in the LA. Further studies in larger cohorts of patients are needed in order to confirm these findings and enable the use of B2B wavelet analysis in clinical practice. [Figure: see text] [Figure: see text] Oxford University Press 2023-05-24 /pmc/articles/PMC10207605/ http://dx.doi.org/10.1093/europace/euad122.642 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of the European Society of Cardiology. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | 9.3.7 - Noninvasive Diagnostic Methods Sakellaropoulou, A Tachmatzidis, D Filos, D Giannopoulos, G Mouselimis, D Tsarouchas, A Antoniadis, A Efremidis, M Letsas, K Asvestas, D Bogka, C Boulougari, M Chouvarda, I Fragakis, N Vassilikos, V Beat to beat P wavelet analysis in addition to standard P wave indices as correlates of left atrial extent of low voltage areas in patients with PAF undergoing catheter ablation |
title | Beat to beat P wavelet analysis in addition to standard P wave indices as correlates of left atrial extent of low voltage areas in patients with PAF undergoing catheter ablation |
title_full | Beat to beat P wavelet analysis in addition to standard P wave indices as correlates of left atrial extent of low voltage areas in patients with PAF undergoing catheter ablation |
title_fullStr | Beat to beat P wavelet analysis in addition to standard P wave indices as correlates of left atrial extent of low voltage areas in patients with PAF undergoing catheter ablation |
title_full_unstemmed | Beat to beat P wavelet analysis in addition to standard P wave indices as correlates of left atrial extent of low voltage areas in patients with PAF undergoing catheter ablation |
title_short | Beat to beat P wavelet analysis in addition to standard P wave indices as correlates of left atrial extent of low voltage areas in patients with PAF undergoing catheter ablation |
title_sort | beat to beat p wavelet analysis in addition to standard p wave indices as correlates of left atrial extent of low voltage areas in patients with paf undergoing catheter ablation |
topic | 9.3.7 - Noninvasive Diagnostic Methods |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10207605/ http://dx.doi.org/10.1093/europace/euad122.642 |
work_keys_str_mv | AT sakellaropouloua beattobeatpwaveletanalysisinadditiontostandardpwaveindicesascorrelatesofleftatrialextentoflowvoltageareasinpatientswithpafundergoingcatheterablation AT tachmatzidisd beattobeatpwaveletanalysisinadditiontostandardpwaveindicesascorrelatesofleftatrialextentoflowvoltageareasinpatientswithpafundergoingcatheterablation AT filosd beattobeatpwaveletanalysisinadditiontostandardpwaveindicesascorrelatesofleftatrialextentoflowvoltageareasinpatientswithpafundergoingcatheterablation AT giannopoulosg beattobeatpwaveletanalysisinadditiontostandardpwaveindicesascorrelatesofleftatrialextentoflowvoltageareasinpatientswithpafundergoingcatheterablation AT mouselimisd beattobeatpwaveletanalysisinadditiontostandardpwaveindicesascorrelatesofleftatrialextentoflowvoltageareasinpatientswithpafundergoingcatheterablation AT tsarouchasa beattobeatpwaveletanalysisinadditiontostandardpwaveindicesascorrelatesofleftatrialextentoflowvoltageareasinpatientswithpafundergoingcatheterablation AT antoniadisa beattobeatpwaveletanalysisinadditiontostandardpwaveindicesascorrelatesofleftatrialextentoflowvoltageareasinpatientswithpafundergoingcatheterablation AT efremidism beattobeatpwaveletanalysisinadditiontostandardpwaveindicesascorrelatesofleftatrialextentoflowvoltageareasinpatientswithpafundergoingcatheterablation AT letsask beattobeatpwaveletanalysisinadditiontostandardpwaveindicesascorrelatesofleftatrialextentoflowvoltageareasinpatientswithpafundergoingcatheterablation AT asvestasd beattobeatpwaveletanalysisinadditiontostandardpwaveindicesascorrelatesofleftatrialextentoflowvoltageareasinpatientswithpafundergoingcatheterablation AT bogkac beattobeatpwaveletanalysisinadditiontostandardpwaveindicesascorrelatesofleftatrialextentoflowvoltageareasinpatientswithpafundergoingcatheterablation AT boulougarim beattobeatpwaveletanalysisinadditiontostandardpwaveindicesascorrelatesofleftatrialextentoflowvoltageareasinpatientswithpafundergoingcatheterablation AT chouvardai beattobeatpwaveletanalysisinadditiontostandardpwaveindicesascorrelatesofleftatrialextentoflowvoltageareasinpatientswithpafundergoingcatheterablation AT fragakisn beattobeatpwaveletanalysisinadditiontostandardpwaveindicesascorrelatesofleftatrialextentoflowvoltageareasinpatientswithpafundergoingcatheterablation AT vassilikosv beattobeatpwaveletanalysisinadditiontostandardpwaveindicesascorrelatesofleftatrialextentoflowvoltageareasinpatientswithpafundergoingcatheterablation |