Atrial Electrogram Fractionation Distribution before and after Pulmonary Vein Isolation in Human Persistent Atrial Fibrillation—A Retrospective Multivariate Statistical Analysis
Purpose: Complex fractionated atrial electrograms (CFAE)-guided ablation after pulmonary vein isolation (PVI) has been used for persistent atrial fibrillation (persAF) therapy. This strategy has shown suboptimal outcomes due to, among other factors, undetected changes in the atrial tissue following...
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Frontiers Media S.A.
2017-08-01
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Series: | Frontiers in Physiology |
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Online Access: | http://journal.frontiersin.org/article/10.3389/fphys.2017.00589/full |
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author | Tiago P. Almeida Tiago P. Almeida Gavin S. Chu Xin Li Nawshin Dastagir Jiun H. Tuan Peter J. Stafford Fernando S. Schlindwein Fernando S. Schlindwein G. André Ng G. André Ng G. André Ng |
author_facet | Tiago P. Almeida Tiago P. Almeida Gavin S. Chu Xin Li Nawshin Dastagir Jiun H. Tuan Peter J. Stafford Fernando S. Schlindwein Fernando S. Schlindwein G. André Ng G. André Ng G. André Ng |
author_sort | Tiago P. Almeida |
collection | DOAJ |
description | Purpose: Complex fractionated atrial electrograms (CFAE)-guided ablation after pulmonary vein isolation (PVI) has been used for persistent atrial fibrillation (persAF) therapy. This strategy has shown suboptimal outcomes due to, among other factors, undetected changes in the atrial tissue following PVI. In the present work, we investigate CFAE distribution before and after PVI in patients with persAF using a multivariate statistical model.Methods: 207 pairs of atrial electrograms (AEGs) were collected before and after PVI respectively, from corresponding LA regions in 18 persAF patients. Twelve attributes were measured from the AEGs, before and after PVI. Statistical models based on multivariate analysis of variance (MANOVA) and linear discriminant analysis (LDA) have been used to characterize the atrial regions and AEGs.Results: PVI significantly reduced CFAEs in the LA (70 vs. 40%; P < 0.0001). Four types of LA regions were identified, based on the AEGs characteristics: (i) fractionated before PVI that remained fractionated after PVI (31% of the collected points); (ii) fractionated that converted to normal (39%); (iii) normal prior to PVI that became fractionated (9%) and; (iv) normal that remained normal (21%). Individually, the attributes failed to distinguish these LA regions, but multivariate statistical models were effective in their discrimination (P < 0.0001).Conclusion: Our results have unveiled that there are LA regions resistant to PVI, while others are affected by it. Although, traditional methods were unable to identify these different regions, the proposed multivariate statistical model discriminated LA regions resistant to PVI from those affected by it without prior ablation information. |
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spelling | doaj.art-ed2679517f3841e58f1a6bafed7adc342022-12-21T19:45:24ZengFrontiers Media S.A.Frontiers in Physiology1664-042X2017-08-01810.3389/fphys.2017.00589270106Atrial Electrogram Fractionation Distribution before and after Pulmonary Vein Isolation in Human Persistent Atrial Fibrillation—A Retrospective Multivariate Statistical AnalysisTiago P. Almeida0Tiago P. Almeida1Gavin S. Chu2Xin Li3Nawshin Dastagir4Jiun H. Tuan5Peter J. Stafford6Fernando S. Schlindwein7Fernando S. Schlindwein8G. André Ng9G. André Ng10G. André Ng11Department of Engineering, University of LeicesterLeicester, United KingdomBiomedical Engineering, Center for Engineering, Modelling and Applied Social Sciences, Federal University of ABCSão Bernardo do Campo, BrazilDepartment of Cardiovascular Sciences, University of LeicesterLeicester, United KingdomDepartment of Engineering, University of LeicesterLeicester, United KingdomDepartment of Cardiovascular Sciences, University of LeicesterLeicester, United KingdomUniversity Hospitals of Leicester NHS TrustLeicester, United KingdomUniversity Hospitals of Leicester NHS TrustLeicester, United KingdomDepartment of Engineering, University of LeicesterLeicester, United KingdomNational Institute for Health Research Leicester Cardiovascular Biomedical Research Centre, Glenfield HospitalLeicester, United KingdomDepartment of Cardiovascular Sciences, University of LeicesterLeicester, United KingdomUniversity Hospitals of Leicester NHS TrustLeicester, United KingdomNational Institute for Health Research Leicester Cardiovascular Biomedical Research Centre, Glenfield HospitalLeicester, United KingdomPurpose: Complex fractionated atrial electrograms (CFAE)-guided ablation after pulmonary vein isolation (PVI) has been used for persistent atrial fibrillation (persAF) therapy. This strategy has shown suboptimal outcomes due to, among other factors, undetected changes in the atrial tissue following PVI. In the present work, we investigate CFAE distribution before and after PVI in patients with persAF using a multivariate statistical model.Methods: 207 pairs of atrial electrograms (AEGs) were collected before and after PVI respectively, from corresponding LA regions in 18 persAF patients. Twelve attributes were measured from the AEGs, before and after PVI. Statistical models based on multivariate analysis of variance (MANOVA) and linear discriminant analysis (LDA) have been used to characterize the atrial regions and AEGs.Results: PVI significantly reduced CFAEs in the LA (70 vs. 40%; P < 0.0001). Four types of LA regions were identified, based on the AEGs characteristics: (i) fractionated before PVI that remained fractionated after PVI (31% of the collected points); (ii) fractionated that converted to normal (39%); (iii) normal prior to PVI that became fractionated (9%) and; (iv) normal that remained normal (21%). Individually, the attributes failed to distinguish these LA regions, but multivariate statistical models were effective in their discrimination (P < 0.0001).Conclusion: Our results have unveiled that there are LA regions resistant to PVI, while others are affected by it. Although, traditional methods were unable to identify these different regions, the proposed multivariate statistical model discriminated LA regions resistant to PVI from those affected by it without prior ablation information.http://journal.frontiersin.org/article/10.3389/fphys.2017.00589/fullcatheter ablationatrial fibrillationpulmonary veinsatrial electrogramsmultivariate analysisfractionation |
spellingShingle | Tiago P. Almeida Tiago P. Almeida Gavin S. Chu Xin Li Nawshin Dastagir Jiun H. Tuan Peter J. Stafford Fernando S. Schlindwein Fernando S. Schlindwein G. André Ng G. André Ng G. André Ng Atrial Electrogram Fractionation Distribution before and after Pulmonary Vein Isolation in Human Persistent Atrial Fibrillation—A Retrospective Multivariate Statistical Analysis Frontiers in Physiology catheter ablation atrial fibrillation pulmonary veins atrial electrograms multivariate analysis fractionation |
title | Atrial Electrogram Fractionation Distribution before and after Pulmonary Vein Isolation in Human Persistent Atrial Fibrillation—A Retrospective Multivariate Statistical Analysis |
title_full | Atrial Electrogram Fractionation Distribution before and after Pulmonary Vein Isolation in Human Persistent Atrial Fibrillation—A Retrospective Multivariate Statistical Analysis |
title_fullStr | Atrial Electrogram Fractionation Distribution before and after Pulmonary Vein Isolation in Human Persistent Atrial Fibrillation—A Retrospective Multivariate Statistical Analysis |
title_full_unstemmed | Atrial Electrogram Fractionation Distribution before and after Pulmonary Vein Isolation in Human Persistent Atrial Fibrillation—A Retrospective Multivariate Statistical Analysis |
title_short | Atrial Electrogram Fractionation Distribution before and after Pulmonary Vein Isolation in Human Persistent Atrial Fibrillation—A Retrospective Multivariate Statistical Analysis |
title_sort | atrial electrogram fractionation distribution before and after pulmonary vein isolation in human persistent atrial fibrillation a retrospective multivariate statistical analysis |
topic | catheter ablation atrial fibrillation pulmonary veins atrial electrograms multivariate analysis fractionation |
url | http://journal.frontiersin.org/article/10.3389/fphys.2017.00589/full |
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