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dc.contributor.author | Escribano Cano, Pilar![]() |
es_ES |
dc.contributor.author | Ródenas, Juan![]() |
es_ES |
dc.contributor.author | García, Manuel![]() |
es_ES |
dc.contributor.author | Arias, Miguel A.![]() |
es_ES |
dc.contributor.author | Hidalgo, Víctor M.![]() |
es_ES |
dc.contributor.author | Calero, Sofía![]() |
es_ES |
dc.contributor.author | Rieta, J J![]() |
es_ES |
dc.contributor.author | Alcaraz, Raúl![]() |
es_ES |
dc.date.accessioned | 2023-07-10T18:02:42Z | |
dc.date.available | 2023-07-10T18:02:42Z | |
dc.date.issued | 2022-10 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/194782 | |
dc.description.abstract | [EN] Catheter ablation (CA) is a commonly used treatment for persistent atrial fibrillation (AF). Since its medium/long-term success rate remains limited, preoperative prediction of its outcome is gaining clinical interest to optimally select candidates for the procedure. Among predictors based on the surface electrocardiogram, the dominant frequency (DF) and harmonic exponential decay (gamma) of the fibrillatory waves (f-waves) have reported promising but clinically insufficient results. Hence, the main goal of this work was to conduct a broader analysis of the f-wave harmonic spectral structure to improve CA outcome prediction through several entropy-based measures computed on different frequency bands. On a database of 151 persistent AF patients under radio-frequency CA and a follow-up of 9 months, the newly introduced parameters discriminated between patients who relapsed to AF and those who maintained SR at about 70%, which was statistically superior to the DF and approximately similar to gamma. They also provided complementary information to gamma through different combinations in multivariate models based on lineal discriminant analysis and report classification performance improvement of about 5%. These results suggest that the presence of larger harmonics and a proportionally smaller DF peak is associated with a decreased probability of AF recurrence after CA. | es_ES |
dc.description.sponsorship | This research received financial support from public grants PID2021-00X128525-IV0, PID2021-123804OB-I00, and TED2021-130935B-I00 of the Spanish Government 10.13039/501100011033 jointly with the European Regional Development Fund (EU), SBPLY/17/180501/000411 and SBPLY/21/180501/000186 from Junta de Comunidades de Castilla-La Mancha, and AICO/2021/286 from Generalitat Valenciana. Moreover, Pilar Escribano holds a predoctoral scholarship 2020PREDUCLM-15540, which is co-financed by the operating program of the European Social Fund (ESF) 2014-2020 of Castilla-La Mancha. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | MDPI AG | es_ES |
dc.relation.ispartof | Journal of Personalized Medicine | es_ES |
dc.rights | Reconocimiento (by) | es_ES |
dc.subject | Persistent atrial fibrillation | es_ES |
dc.subject | Catheter ablation | es_ES |
dc.subject | Outcome prediction | es_ES |
dc.subject | Fibrillatory wave analysis | es_ES |
dc.subject | Electrocardiogram | es_ES |
dc.subject | Spectral analysis | es_ES |
dc.subject | Dominant frequency | es_ES |
dc.subject | Harmonic content | es_ES |
dc.subject.classification | TECNOLOGIA ELECTRONICA | es_ES |
dc.title | Preoperative Prediction of Catheter Ablation Outcome in Persistent Atrial Fibrillation Patients through Spectral Organization Analysis of the Surface Fibrillatory Waves | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.3390/jpm12101721 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI//PID2021-123804OB-I00//INTELIGENCIA ARTIFICIAL PARA LA MEDICINA MÓVIL INNOVADORA EN ENFERMEDADES CARDIOVASCULARES/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/GENERALITAT VALENCIANA//AICO%2F2021%2F286//Inteligencia Artificial para Revolucionar la Medicina Móvil Usando Dispositivos Llevables/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/JCCM//SBPLY%2F17%2F180501%2F000411//Caracterización del sustrato auricular mediante análisis de señal como herramienta de asistencia procedimental en ablación por catéter de fibrilación auricular/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/JCCM//SBPLY%2F21%2F180501%2F000186/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/UCLM//2020-PREDUCLM-15540/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI//PID2021-00X128525-IV0/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MICINN//TED2021-130935B-I00/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escuela Politécnica Superior de Gandia - Escola Politècnica Superior de Gandia | es_ES |
dc.description.bibliographicCitation | Escribano Cano, P.; Ródenas, J.; García, M.; Arias, MA.; Hidalgo, VM.; Calero, S.; Rieta, JJ.... (2022). Preoperative Prediction of Catheter Ablation Outcome in Persistent Atrial Fibrillation Patients through Spectral Organization Analysis of the Surface Fibrillatory Waves. Journal of Personalized Medicine. 12(10):1-17. https://doi.org/10.3390/jpm12101721 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.3390/jpm12101721 | es_ES |
dc.description.upvformatpinicio | 1 | es_ES |
dc.description.upvformatpfin | 17 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 12 | es_ES |
dc.description.issue | 10 | es_ES |
dc.identifier.eissn | 2075-4426 | es_ES |
dc.identifier.pmid | 36294860 | es_ES |
dc.identifier.pmcid | PMC9604697 | es_ES |
dc.relation.pasarela | S\491212 | es_ES |
dc.contributor.funder | GENERALITAT VALENCIANA | es_ES |
dc.contributor.funder | AGENCIA ESTATAL DE INVESTIGACION | es_ES |
dc.contributor.funder | Agencia Estatal de Investigación | es_ES |
dc.contributor.funder | Universidad de Castilla-La Mancha | es_ES |
dc.contributor.funder | European Regional Development Fund | es_ES |
dc.contributor.funder | Ministerio de Ciencia e Innovación | es_ES |
dc.contributor.funder | Junta de Comunidades de Castilla-La Mancha | es_ES |