Atrial conduction explains the occurrence of the P‐wave dispersion phenomenon, but weakly
Background P‐wave dispersion (PWD) is believed to be caused by inhomogeneous atrial conduction. This statement, however, is based on limited little solid evidence. The aim of this study was to determine the relationship between atrial conduction and PWD by means of invasive electrophysiological stud...
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Published in | Journal of arrhythmia Vol. 36; no. 6; pp. 1083 - 1091 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
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Japan
John Wiley & Sons, Inc
01.12.2020
John Wiley and Sons Inc Wiley |
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Abstract | Background
P‐wave dispersion (PWD) is believed to be caused by inhomogeneous atrial conduction. This statement, however, is based on limited little solid evidence. The aim of this study was to determine the relationship between atrial conduction and PWD by means of invasive electrophysiological studies.
Methods
Cross‐sectional study in 153 patients with accessory pathways and atrioventricular node reentry tachycardia (AVNRT) undergoing an electrophysiological study. Different atrial conduction times were measured and correlated with PWD.
Results
Only the interatrial (P‐DCS) and left intra‐atrial conduction times (ΔDCS‐PCS) showed a significant correlation with PWD, but this correlation was weak. Multivariate linear regression analysis determined that both P‐DCS (β = 0.242; P = .008) and ΔDCS‐PCS (β = 0.295; P < .001) are independent predictors of PWD. Performing the multivariate analysis for arrhythmic substrates, it is observed that only ΔDCS‐PCS continued to be an independent predictor of PWD. Analysis of the receiver operating characteristic curves showed that regardless of the types of arrhythmic substrates, PWD discriminates significantly, but moderately, to patients with P‐DCS and ΔDCS‐PCS ≥75 percentile.
Conclusions
Interatrial and intraleft atrial conduction times were directly and significantly correlated with PWD, but only weakly, and were independent predictors of PWD. In general, PWD correctly discriminates patients with high values in interatrial and intraleft atrial conduction times, but moderately. This is maintained in cases with accessory pathways; however, in patients with AVNRT it only does so for intraleft atrial conduction times. Interatrial and intraleft atrial conduction times weakly explains PWD.
P‐wave dispersion (PWD) is considered by many to be an electrocardiographic parameter originating from regional differences in atrial conduction. The aim of this study was to determine the relationship between atrial conduction and PWD by means of invasive electrophysiological studies. Interatrial and intra left atrial conduction times were directly and significantly correlated with PWD, but weakly, and were independent predictors of PWD. |
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AbstractList | Abstract
Background
P‐wave dispersion (PWD) is believed to be caused by inhomogeneous atrial conduction. This statement, however, is based on limited little solid evidence. The aim of this study was to determine the relationship between atrial conduction and PWD by means of invasive electrophysiological studies.
Methods
Cross‐sectional study in 153 patients with accessory pathways and atrioventricular node reentry tachycardia (AVNRT) undergoing an electrophysiological study. Different atrial conduction times were measured and correlated with PWD.
Results
Only the interatrial (P‐DCS) and left intra‐atrial conduction times (ΔDCS‐PCS) showed a significant correlation with PWD, but this correlation was weak. Multivariate linear regression analysis determined that both P‐DCS (β = 0.242;
P
= .008) and ΔDCS‐PCS (β = 0.295;
P
< .001) are independent predictors of PWD. Performing the multivariate analysis for arrhythmic substrates, it is observed that only ΔDCS‐PCS continued to be an independent predictor of PWD. Analysis of the receiver operating characteristic curves showed that regardless of the types of arrhythmic substrates, PWD discriminates significantly, but moderately, to patients with P‐DCS and ΔDCS‐PCS ≥75 percentile.
Conclusions
Interatrial and intraleft atrial conduction times were directly and significantly correlated with PWD, but only weakly, and were independent predictors of PWD. In general, PWD correctly discriminates patients with high values in interatrial and intraleft atrial conduction times, but moderately. This is maintained in cases with accessory pathways; however, in patients with AVNRT it only does so for intraleft atrial conduction times. Interatrial and intraleft atrial conduction times weakly explains PWD. P-wave dispersion (PWD) is believed to be caused by inhomogeneous atrial conduction. This statement, however, is based on limited little solid evidence. The aim of this study was to determine the relationship between atrial conduction and PWD by means of invasive electrophysiological studies. Cross-sectional study in 153 patients with accessory pathways and atrioventricular node reentry tachycardia (AVNRT) undergoing an electrophysiological study. Different atrial conduction times were measured and correlated with PWD. Only the interatrial (P-DCS) and left intra-atrial conduction times (ΔDCS-PCS) showed a significant correlation with PWD, but this correlation was weak. Multivariate linear regression analysis determined that both P-DCS (β = 0.242; = .008) and ΔDCS-PCS (β = 0.295; < .001) are independent predictors of PWD. Performing the multivariate analysis for arrhythmic substrates, it is observed that only ΔDCS-PCS continued to be an independent predictor of PWD. Analysis of the receiver operating characteristic curves showed that regardless of the types of arrhythmic substrates, PWD discriminates significantly, but moderately, to patients with P-DCS and ΔDCS-PCS ≥75 percentile. Interatrial and intraleft atrial conduction times were directly and significantly correlated with PWD, but only weakly, and were independent predictors of PWD. In general, PWD correctly discriminates patients with high values in interatrial and intraleft atrial conduction times, but moderately. This is maintained in cases with accessory pathways; however, in patients with AVNRT it only does so for intraleft atrial conduction times. Interatrial and intraleft atrial conduction times weakly explains PWD. P‐wave dispersion (PWD) is considered by many to be an electrocardiographic parameter originating from regional differences in atrial conduction. The aim of this study was to determine the relationship between atrial conduction and PWD by means of invasive electrophysiological studies. Interatrial and intra left atrial conduction times were directly and significantly correlated with PWD, but weakly, and were independent predictors of PWD. BACKGROUNDP-wave dispersion (PWD) is believed to be caused by inhomogeneous atrial conduction. This statement, however, is based on limited little solid evidence. The aim of this study was to determine the relationship between atrial conduction and PWD by means of invasive electrophysiological studies.METHODSCross-sectional study in 153 patients with accessory pathways and atrioventricular node reentry tachycardia (AVNRT) undergoing an electrophysiological study. Different atrial conduction times were measured and correlated with PWD.RESULTSOnly the interatrial (P-DCS) and left intra-atrial conduction times (ΔDCS-PCS) showed a significant correlation with PWD, but this correlation was weak. Multivariate linear regression analysis determined that both P-DCS (β = 0.242; P = .008) and ΔDCS-PCS (β = 0.295; P < .001) are independent predictors of PWD. Performing the multivariate analysis for arrhythmic substrates, it is observed that only ΔDCS-PCS continued to be an independent predictor of PWD. Analysis of the receiver operating characteristic curves showed that regardless of the types of arrhythmic substrates, PWD discriminates significantly, but moderately, to patients with P-DCS and ΔDCS-PCS ≥75 percentile.CONCLUSIONSInteratrial and intraleft atrial conduction times were directly and significantly correlated with PWD, but only weakly, and were independent predictors of PWD. In general, PWD correctly discriminates patients with high values in interatrial and intraleft atrial conduction times, but moderately. This is maintained in cases with accessory pathways; however, in patients with AVNRT it only does so for intraleft atrial conduction times. Interatrial and intraleft atrial conduction times weakly explains PWD. Background: P‐wave dispersion (PWD) is believed to be caused by inhomogeneous atrial conduction. This statement, however, is based on limited little solid evidence. The aim of this study was to determine the relationship between atrial conduction and PWD by means of invasive electrophysiological studies. Methods: Cross‐sectional study in 153 patients with accessory pathways and atrioventricular node reentry tachycardia (AVNRT) undergoing an electrophysiological study. Different atrial conduction times were measured and correlated with PWD. Results: Only the interatrial (P‐DCS) and left intra‐atrial conduction times (ΔDCS‐PCS) showed a significant correlation with PWD, but this correlation was weak. Multivariate linear regression analysis determined that both P‐DCS (β = 0.242; P =.008) and ΔDCS‐PCS (β = 0.295; P <.001) are independent predictors of PWD. Performing the multivariate analysis for arrhythmic substrates, it is observed that only ΔDCS‐PCS continued to be an independent predictor of PWD. Analysis of the receiver operating characteristic curves showed that regardless of the types of arrhythmic substrates, PWD discriminates significantly, but moderately, to patients with P‐DCS and ΔDCS‐PCS ≥75 percentile. Conclusions: Interatrial and intraleft atrial conduction times were directly and significantly correlated with PWD, but only weakly, and were independent predictors of PWD. In general, PWD correctly discriminates patients with high values in interatrial and intraleft atrial conduction times, but moderately. This is maintained in cases with accessory pathways; however, in patients with AVNRT it only does so for intraleft atrial conduction times. Interatrial and intraleft atrial conduction times weakly explains PWD. Abstract Background P‐wave dispersion (PWD) is believed to be caused by inhomogeneous atrial conduction. This statement, however, is based on limited little solid evidence. The aim of this study was to determine the relationship between atrial conduction and PWD by means of invasive electrophysiological studies. Methods Cross‐sectional study in 153 patients with accessory pathways and atrioventricular node reentry tachycardia (AVNRT) undergoing an electrophysiological study. Different atrial conduction times were measured and correlated with PWD. Results Only the interatrial (P‐DCS) and left intra‐atrial conduction times (ΔDCS‐PCS) showed a significant correlation with PWD, but this correlation was weak. Multivariate linear regression analysis determined that both P‐DCS (β = 0.242; P = .008) and ΔDCS‐PCS (β = 0.295; P < .001) are independent predictors of PWD. Performing the multivariate analysis for arrhythmic substrates, it is observed that only ΔDCS‐PCS continued to be an independent predictor of PWD. Analysis of the receiver operating characteristic curves showed that regardless of the types of arrhythmic substrates, PWD discriminates significantly, but moderately, to patients with P‐DCS and ΔDCS‐PCS ≥75 percentile. Conclusions Interatrial and intraleft atrial conduction times were directly and significantly correlated with PWD, but only weakly, and were independent predictors of PWD. In general, PWD correctly discriminates patients with high values in interatrial and intraleft atrial conduction times, but moderately. This is maintained in cases with accessory pathways; however, in patients with AVNRT it only does so for intraleft atrial conduction times. Interatrial and intraleft atrial conduction times weakly explains PWD. P-wave dispersion (PWD) is believed to be caused by inhomogeneous atrial conduction. This statement, however, is based on limited little solid evidence. The aim of this study was to determine the relationship between atrial conduction and PWD by means of invasive electrophysiological studies. Cross-sectional study in 153 patients with accessory pathways and atrioventricular node reentry tachycardia (AVNRT) undergoing an electrophysiological study. Different atrial conduction times were measured and correlated with PWD. Only the interatrial (P-DCS) and left intra-atrial conduction times (ΔDCS-PCS) showed a significant correlation with PWD, but this correlation was weak. Multivariate linear regression analysis determined that both P-DCS (β = 0.242; P =.008) and ΔDCS-PCS (β = 0.295; P <.001) are independent predictors of PWD. Performing the multivariate analysis for arrhythmic substrates, it is observed that only ΔDCS-PCS continued to be an independent predictor of PWD. Analysis of the receiver operating characteristic curves showed that regardless of the types of arrhythmic substrates, PWD discriminates significantly, but moderately, to patients with P-DCS and ΔDCS-PCS ≥75 percentile. Interatrial and intraleft atrial conduction times were directly and significantly correlated with PWD, but only weakly, and were independent predictors of PWD. In general, PWD correctly discriminates patients with high values in interatrial and intraleft atrial conduction times, but moderately. This is maintained in cases with accessory pathways; however, in patients with AVNRT it only does so for intraleft atrial conduction times. Interatrial and intraleft atrial conduction times weakly explains PWD. Background P‐wave dispersion (PWD) is believed to be caused by inhomogeneous atrial conduction. This statement, however, is based on limited little solid evidence. The aim of this study was to determine the relationship between atrial conduction and PWD by means of invasive electrophysiological studies. Methods Cross‐sectional study in 153 patients with accessory pathways and atrioventricular node reentry tachycardia (AVNRT) undergoing an electrophysiological study. Different atrial conduction times were measured and correlated with PWD. Results Only the interatrial (P‐DCS) and left intra‐atrial conduction times (ΔDCS‐PCS) showed a significant correlation with PWD, but this correlation was weak. Multivariate linear regression analysis determined that both P‐DCS (β = 0.242; P = .008) and ΔDCS‐PCS (β = 0.295; P < .001) are independent predictors of PWD. Performing the multivariate analysis for arrhythmic substrates, it is observed that only ΔDCS‐PCS continued to be an independent predictor of PWD. Analysis of the receiver operating characteristic curves showed that regardless of the types of arrhythmic substrates, PWD discriminates significantly, but moderately, to patients with P‐DCS and ΔDCS‐PCS ≥75 percentile. Conclusions Interatrial and intraleft atrial conduction times were directly and significantly correlated with PWD, but only weakly, and were independent predictors of PWD. In general, PWD correctly discriminates patients with high values in interatrial and intraleft atrial conduction times, but moderately. This is maintained in cases with accessory pathways; however, in patients with AVNRT it only does so for intraleft atrial conduction times. Interatrial and intraleft atrial conduction times weakly explains PWD. P‐wave dispersion (PWD) is considered by many to be an electrocardiographic parameter originating from regional differences in atrial conduction. The aim of this study was to determine the relationship between atrial conduction and PWD by means of invasive electrophysiological studies. Interatrial and intra left atrial conduction times were directly and significantly correlated with PWD, but weakly, and were independent predictors of PWD. |
Audience | Academic |
Author | Carmona Puerta, Raimundo Rodríguez González, Fernando Lorenzo Martínez, Elizabeth Rabassa López‐Calleja, Magda Alina Cruz Elizundia, Juan Miguel Padrón Peña, Gustavo Chávez González, Elibet |
AuthorAffiliation | 2 Chief Professor in Cardiology Cardiovascular Hospital "Ernesto Guevara" Santa Clara City Cuba 1 Department of Electrophysiology and Arrhythmology Cardiovascular Hospital "Ernesto Guevara" Santa Clara City Cuba 3 Department of Physiology Medical University of Villa Clara Santa Clara City Cuba |
AuthorAffiliation_xml | – name: 3 Department of Physiology Medical University of Villa Clara Santa Clara City Cuba – name: 2 Chief Professor in Cardiology Cardiovascular Hospital "Ernesto Guevara" Santa Clara City Cuba – name: 1 Department of Electrophysiology and Arrhythmology Cardiovascular Hospital "Ernesto Guevara" Santa Clara City Cuba |
Author_xml | – sequence: 1 givenname: Raimundo orcidid: 0000-0003-2246-1089 surname: Carmona Puerta fullname: Carmona Puerta, Raimundo email: raimundocp@infomed.sld.cu organization: Cardiovascular Hospital "Ernesto Guevara" – sequence: 2 givenname: Elibet orcidid: 0000-0003-2246-2137 surname: Chávez González fullname: Chávez González, Elibet organization: Cardiovascular Hospital "Ernesto Guevara" – sequence: 3 givenname: Magda Alina orcidid: 0000-0001-5094-3996 surname: Rabassa López‐Calleja fullname: Rabassa López‐Calleja, Magda Alina organization: Cardiovascular Hospital "Ernesto Guevara" – sequence: 4 givenname: Elizabeth orcidid: 0000-0001-8293-5392 surname: Lorenzo Martínez fullname: Lorenzo Martínez, Elizabeth organization: Medical University of Villa Clara – sequence: 5 givenname: Juan Miguel orcidid: 0000-0003-1170-7151 surname: Cruz Elizundia fullname: Cruz Elizundia, Juan Miguel organization: Cardiovascular Hospital "Ernesto Guevara" – sequence: 6 givenname: Gustavo surname: Padrón Peña fullname: Padrón Peña, Gustavo organization: Cardiovascular Hospital "Ernesto Guevara" – sequence: 7 givenname: Fernando orcidid: 0000-0002-8135-3902 surname: Rodríguez González fullname: Rodríguez González, Fernando organization: Cardiovascular Hospital "Ernesto Guevara" |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/33335629$$D View this record in MEDLINE/PubMed |
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CitedBy_id | crossref_primary_10_1016_j_jelectrocard_2021_04_015 crossref_primary_10_1016_j_jelectrocard_2022_09_008 crossref_primary_10_1002_joa3_12779 crossref_primary_10_1093_europace_euae022 crossref_primary_10_1159_000518262 |
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Copyright | 2020 The Authors. published by John Wiley & Sons Australia, Ltd on behalf of the Japanese Heart Rhythm Society. 2020 The Authors. Journal of Arrhythmia published by John Wiley & Sons Australia, Ltd on behalf of the Japanese Heart Rhythm Society. COPYRIGHT 2020 John Wiley & Sons, Inc. 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
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Snippet | Background
P‐wave dispersion (PWD) is believed to be caused by inhomogeneous atrial conduction. This statement, however, is based on limited little solid... P-wave dispersion (PWD) is believed to be caused by inhomogeneous atrial conduction. This statement, however, is based on limited little solid evidence. The... Abstract Background P‐wave dispersion (PWD) is believed to be caused by inhomogeneous atrial conduction. This statement, however, is based on limited little... Background: P‐wave dispersion (PWD) is believed to be caused by inhomogeneous atrial conduction. This statement, however, is based on limited little solid... BackgroundP‐wave dispersion (PWD) is believed to be caused by inhomogeneous atrial conduction. This statement, however, is based on limited little solid... BACKGROUNDP-wave dispersion (PWD) is believed to be caused by inhomogeneous atrial conduction. This statement, however, is based on limited little solid... P‐wave dispersion (PWD) is considered by many to be an electrocardiographic parameter originating from regional differences in atrial conduction. The aim of... Abstract Background P‐wave dispersion (PWD) is believed to be caused by inhomogeneous atrial conduction. This statement, however, is based on limited little... |
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SubjectTerms | Analysis atrial conduction time Cardiac arrhythmia Catheters Electrocardiography electrophysiological study maximum P‐wave duration Medical research Medicine, Experimental Morphology Original Patients P‐wave dispersion Variables |
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Title | Atrial conduction explains the occurrence of the P‐wave dispersion phenomenon, but weakly |
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