Mostrar el registro sencillo del ítem
dc.contributor.author | Rodrigo, Miguel | es_ES |
dc.contributor.author | Waddell, Kian | es_ES |
dc.contributor.author | Magee, Sarah | es_ES |
dc.contributor.author | Rogers, Albert J. | es_ES |
dc.contributor.author | Alhusseini, Mahmood | es_ES |
dc.contributor.author | Hernández-Romero, Ismael | es_ES |
dc.contributor.author | Costoya-Sánchez, Alejandro | es_ES |
dc.contributor.author | Liberos, Alejandro | es_ES |
dc.contributor.author | Narayan, Sanjiv M. | es_ES |
dc.date.accessioned | 2022-06-15T18:04:53Z | |
dc.date.available | 2022-06-15T18:04:53Z | |
dc.date.issued | 2021-01-06 | es_ES |
dc.identifier.issn | 1664-042X | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/183348 | |
dc.description.abstract | [EN] Introduction: Regional differences in activation rates may contribute to the electrical substrates that maintain atrial fibrillation (AF), and estimating them non-invasively may help guide ablation or select anti-arrhythmic medications. We tested whether non-invasive assessment of regional AF rate accurately represents intracardiac recordings. Methods: In 47 patients with AF (27 persistent, age 63 +/- 13 years) we performed 57-lead non-invasive Electrocardiographic Imaging (ECGI) in AF, simultaneously with 64-pole intracardiac signals of both atria. ECGI was reconstructed by Tikhonov regularization. We constructed personalized 3D AF rate distribution maps by Dominant Frequency (DF) analysis from intracardiac and non-invasive recordings. Results: Raw intracardiac and non-invasive DF differed substantially, by 0.54 Hz [0.13 - 1.37] across bi-atrial regions (R-2 = 0.11). Filtering by high spectral organization reduced this difference to 0.10 Hz (cycle length difference of 1 - 11 ms) [0.03 - 0.42] for patient-level comparisons (R-2 = 0.62), and 0.19 Hz [0.03 - 0.59] and 0.20 Hz [0.04 - 0.61] for median and highest DF, respectively. Non-invasive and highest DF predicted acute ablation success (p = 0.04). Conclusion: Non-invasive estimation of atrial activation rates is feasible and, when filtered by high spectral organization, provide a moderate estimate of intracardiac recording rates in AF. Non-invasive technology could be an effective tool to identify patients who may respond to AF ablation for personalized therapy. | es_ES |
dc.description.sponsorship | This work was supported in part by: Generalitat Valenciana Grants (APOSTD/2017 and APOSTD/2018) and projects (GVA/2018/103); the National Institutes of Health (R01 HL85537; R01 HL149134). | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Frontiers Media SA | es_ES |
dc.relation.ispartof | Frontiers in Physiology | es_ES |
dc.rights | Reconocimiento (by) | es_ES |
dc.subject | Atrial fibrillation | es_ES |
dc.subject | Driver | es_ES |
dc.subject | Dominant frequency | es_ES |
dc.subject | Non-invasive mapping | es_ES |
dc.subject | Electrocardiographic imaging | es_ES |
dc.subject | Basket mapping | es_ES |
dc.subject.classification | TECNOLOGIA ELECTRONICA | es_ES |
dc.title | Non-invasive Spatial Mapping of Frequencies in Atrial Fibrillation: Correlation With Contact Mapping | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.3389/fphys.2020.611266 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/NIH//R01 HL149134/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/GVA//APOSTD%2F2017/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/GVA//APOSTD%2F2018/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/NIH//R01 HL85537/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/GVA//GV%2F2018%2F103//MODELOS IN-SILICO PARA LA PERSONALIZACION DE TERAPIAS EN FIBRILACION AURICULAR/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.description.bibliographicCitation | Rodrigo, M.; Waddell, K.; Magee, S.; Rogers, AJ.; Alhusseini, M.; Hernández-Romero, I.; Costoya-Sánchez, A.... (2021). Non-invasive Spatial Mapping of Frequencies in Atrial Fibrillation: Correlation With Contact Mapping. Frontiers in Physiology. 11:1-11. https://doi.org/10.3389/fphys.2020.611266 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.3389/fphys.2020.611266 | es_ES |
dc.description.upvformatpinicio | 1 | es_ES |
dc.description.upvformatpfin | 11 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 11 | es_ES |
dc.identifier.pmid | 33584334 | es_ES |
dc.identifier.pmcid | PMC7873897 | es_ES |
dc.relation.pasarela | S\446888 | es_ES |
dc.contributor.funder | Generalitat Valenciana | es_ES |
dc.contributor.funder | National Institutes of Health, EEUU | es_ES |