Automatically optimized vectorcardiographic features are associated with recurrence of atrial fibrillation after electrical cardioversion
Abstract Electrical cardioversion presents one of the treatment options for atrial fibrillation (AF). However, the early recurrence rate is high, reaching ~40% three months after the procedure. Features based on vectorcardiographic signals were explored to find association with early recurrence of A...
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Nature Portfolio
2025-01-01
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| Online Access: | https://doi.org/10.1038/s41598-025-85340-4 |
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| author | F. Plesinger S. Hassouna Z. Carna J. Vesela R. Smisek E. Vargova V. Sobota Z. Koscova P. Nejedly I. Viscor F. W. Prinzen P. Jurak J. Halamek P. Osmancik |
| author_facet | F. Plesinger S. Hassouna Z. Carna J. Vesela R. Smisek E. Vargova V. Sobota Z. Koscova P. Nejedly I. Viscor F. W. Prinzen P. Jurak J. Halamek P. Osmancik |
| author_sort | F. Plesinger |
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| description | Abstract Electrical cardioversion presents one of the treatment options for atrial fibrillation (AF). However, the early recurrence rate is high, reaching ~40% three months after the procedure. Features based on vectorcardiographic signals were explored to find association with early recurrence of AF. Eighty-four patients with non-paroxysmal AF referred to electrical cardioversion were prospectively studied; early AF recurrence was present in 40 (47.6%). Patients underwent 24-h Holter ECG monitoring three months after the procedure to assess AF recurrence. Pre-procedural 12-lead ECGs (10 s, 1 kHz) were recorded and automatically analyzed. We explored associations of VCG-based features with early AF recurrence. Two features were strongly associated with AF recurrence: (1) a mean VCG (y-axis) signal slope in a window starting 145 ms before QRS center, lasting for 190 ms (AUC 0.778, p < 0.001), and (2) a mean VCG (z-axis) signal slope in a window starting 60 ms after QRS center, lasting for 465 ms (AUC 0.744, p < 0.001). These features showed higher association to the outcome than eighteen baseline clinical features. Our approach revealed features based on a slope of vectorcardiographic signals. This work also suggests that state of ventricles strongly affects the AF recurrence after electrical cardioversion. |
| format | Article |
| id | doaj-art-8c0a5497ee8b45e08ea48dc4ba6c0179 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
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| series | Scientific Reports |
| spelling | doaj-art-8c0a5497ee8b45e08ea48dc4ba6c01792025-01-12T12:19:08ZengNature PortfolioScientific Reports2045-23222025-01-0115111010.1038/s41598-025-85340-4Automatically optimized vectorcardiographic features are associated with recurrence of atrial fibrillation after electrical cardioversionF. Plesinger0S. Hassouna1Z. Carna2J. Vesela3R. Smisek4E. Vargova5V. Sobota6Z. Koscova7P. Nejedly8I. Viscor9F. W. Prinzen10P. Jurak11J. Halamek12P. Osmancik13Institute of Scientific Instruments of the Czech Academy of SciencesCardiocenter, Third Faculty of Medicine, Charles University and University Hospital Kralovske VinohradyCardiocenter, Third Faculty of Medicine, Charles University and University Hospital Kralovske VinohradyCardiocenter, Third Faculty of Medicine, Charles University and University Hospital Kralovske VinohradyInstitute of Scientific Instruments of the Czech Academy of SciencesInstitute of Scientific Instruments of the Czech Academy of SciencesIHU-LIRYC, Electrophysiology and Heart Modeling Institute, Fondation Bordeaux UniversitéInstitute of Scientific Instruments of the Czech Academy of SciencesInstitute of Scientific Instruments of the Czech Academy of SciencesInstitute of Scientific Instruments of the Czech Academy of SciencesDepartment of Cardiology, Maastricht University Medical CenterInstitute of Scientific Instruments of the Czech Academy of SciencesInstitute of Scientific Instruments of the Czech Academy of SciencesCardiocenter, Third Faculty of Medicine, Charles University and University Hospital Kralovske VinohradyAbstract Electrical cardioversion presents one of the treatment options for atrial fibrillation (AF). However, the early recurrence rate is high, reaching ~40% three months after the procedure. Features based on vectorcardiographic signals were explored to find association with early recurrence of AF. Eighty-four patients with non-paroxysmal AF referred to electrical cardioversion were prospectively studied; early AF recurrence was present in 40 (47.6%). Patients underwent 24-h Holter ECG monitoring three months after the procedure to assess AF recurrence. Pre-procedural 12-lead ECGs (10 s, 1 kHz) were recorded and automatically analyzed. We explored associations of VCG-based features with early AF recurrence. Two features were strongly associated with AF recurrence: (1) a mean VCG (y-axis) signal slope in a window starting 145 ms before QRS center, lasting for 190 ms (AUC 0.778, p < 0.001), and (2) a mean VCG (z-axis) signal slope in a window starting 60 ms after QRS center, lasting for 465 ms (AUC 0.744, p < 0.001). These features showed higher association to the outcome than eighteen baseline clinical features. Our approach revealed features based on a slope of vectorcardiographic signals. This work also suggests that state of ventricles strongly affects the AF recurrence after electrical cardioversion.https://doi.org/10.1038/s41598-025-85340-4ECGVCGCardioversionSignal processingAtrial fibrillation |
| spellingShingle | F. Plesinger S. Hassouna Z. Carna J. Vesela R. Smisek E. Vargova V. Sobota Z. Koscova P. Nejedly I. Viscor F. W. Prinzen P. Jurak J. Halamek P. Osmancik Automatically optimized vectorcardiographic features are associated with recurrence of atrial fibrillation after electrical cardioversion Scientific Reports ECG VCG Cardioversion Signal processing Atrial fibrillation |
| title | Automatically optimized vectorcardiographic features are associated with recurrence of atrial fibrillation after electrical cardioversion |
| title_full | Automatically optimized vectorcardiographic features are associated with recurrence of atrial fibrillation after electrical cardioversion |
| title_fullStr | Automatically optimized vectorcardiographic features are associated with recurrence of atrial fibrillation after electrical cardioversion |
| title_full_unstemmed | Automatically optimized vectorcardiographic features are associated with recurrence of atrial fibrillation after electrical cardioversion |
| title_short | Automatically optimized vectorcardiographic features are associated with recurrence of atrial fibrillation after electrical cardioversion |
| title_sort | automatically optimized vectorcardiographic features are associated with recurrence of atrial fibrillation after electrical cardioversion |
| topic | ECG VCG Cardioversion Signal processing Atrial fibrillation |
| url | https://doi.org/10.1038/s41598-025-85340-4 |
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