Cargando…
Insight into contact force local impedance technology for predicting effective pulmonary vein isolation
BACKGROUND: Highly localized impedance (LI) measurements during atrial fibrillation (AF) ablation have the potential to act as a reliable predictor of the durability of the lesions created. OBJECTIVE: We aimed to collect data on the procedural parameters affecting LI-guided ablation in a large multi...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10354239/ https://www.ncbi.nlm.nih.gov/pubmed/37476572 http://dx.doi.org/10.3389/fcvm.2023.1169037 |
_version_ | 1785074884189093888 |
---|---|
author | Lepillier, Antoine Maggio, Ruggero De Sanctis, Valerio Malacrida, Maurizio Stabile, Giuseppe Zakine, Cyril Champ-Rigot, Laure Anselmino, Matteo Segreti, Luca Dell’Era, Gabriele Garnier, Fabien Mascia, Giuseppe Pandozi, Claudio Dello Russo, Antonio Scaglione, Marco Cosaro, Giuseppe Ferraro, Anna Paziaud, Olivier Maglia, Giampiero Solimene, Francesco |
author_facet | Lepillier, Antoine Maggio, Ruggero De Sanctis, Valerio Malacrida, Maurizio Stabile, Giuseppe Zakine, Cyril Champ-Rigot, Laure Anselmino, Matteo Segreti, Luca Dell’Era, Gabriele Garnier, Fabien Mascia, Giuseppe Pandozi, Claudio Dello Russo, Antonio Scaglione, Marco Cosaro, Giuseppe Ferraro, Anna Paziaud, Olivier Maglia, Giampiero Solimene, Francesco |
author_sort | Lepillier, Antoine |
collection | PubMed |
description | BACKGROUND: Highly localized impedance (LI) measurements during atrial fibrillation (AF) ablation have the potential to act as a reliable predictor of the durability of the lesions created. OBJECTIVE: We aimed to collect data on the procedural parameters affecting LI-guided ablation in a large multicenter registry. METHODS: A total of 212 consecutive patients enrolled in the CHARISMA registry and undergoing their first pulmonary vein (PV) isolation for paroxysmal and persistent AF were included. RESULTS: In all, 13,891 radiofrequency (RF) applications of ≥3 s duration were assessed. The first-pass PV isolation rate was 93.3%. A total of 80 PV gaps were detected. At successful ablation spots, baseline LI and absolute LI drop were larger than at PV gap spots (161.4 ± 19 Ω vs. 153.0 ± 13 Ω, p < 0.0001 for baseline LI; 22.1 ± 9 Ω vs. 14.4 ± 5 Ω, p < 0.0001 for LI drop). On the basis of Receiver operating characteristic curve analysis, the ideal LI drop, which predicted successful ablation, was >21 Ω at anterior sites and >18 Ω at posterior sites. There was a non-linear association between the magnitude of LI drop and contact-force (CF) (r = 0.14, 95% CI: 0.13–0.16, p < 0.0001) whereas both CF and LI drop were inversely related with delivery time (DT) (−0.22, −0.23 to −0.20, p < 0.0001 for CF; −0.27, −0.29 to −0.26, p < 0.0001 for LI drop). CONCLUSION: An LI drop >21 Ω at anterior sites and >18 Ω at posterior sites predicts successful ablation. A higher CF was associated with an increased likelihood of ideal LI drop. The combination of good CF and adequate LI drop allows a significant reduction in RF DT. CLINICAL TRIAL REGISTRATION: http://clinicaltrials.gov/, identifier: NCT03793998. |
format | Online Article Text |
id | pubmed-10354239 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-103542392023-07-20 Insight into contact force local impedance technology for predicting effective pulmonary vein isolation Lepillier, Antoine Maggio, Ruggero De Sanctis, Valerio Malacrida, Maurizio Stabile, Giuseppe Zakine, Cyril Champ-Rigot, Laure Anselmino, Matteo Segreti, Luca Dell’Era, Gabriele Garnier, Fabien Mascia, Giuseppe Pandozi, Claudio Dello Russo, Antonio Scaglione, Marco Cosaro, Giuseppe Ferraro, Anna Paziaud, Olivier Maglia, Giampiero Solimene, Francesco Front Cardiovasc Med Cardiovascular Medicine BACKGROUND: Highly localized impedance (LI) measurements during atrial fibrillation (AF) ablation have the potential to act as a reliable predictor of the durability of the lesions created. OBJECTIVE: We aimed to collect data on the procedural parameters affecting LI-guided ablation in a large multicenter registry. METHODS: A total of 212 consecutive patients enrolled in the CHARISMA registry and undergoing their first pulmonary vein (PV) isolation for paroxysmal and persistent AF were included. RESULTS: In all, 13,891 radiofrequency (RF) applications of ≥3 s duration were assessed. The first-pass PV isolation rate was 93.3%. A total of 80 PV gaps were detected. At successful ablation spots, baseline LI and absolute LI drop were larger than at PV gap spots (161.4 ± 19 Ω vs. 153.0 ± 13 Ω, p < 0.0001 for baseline LI; 22.1 ± 9 Ω vs. 14.4 ± 5 Ω, p < 0.0001 for LI drop). On the basis of Receiver operating characteristic curve analysis, the ideal LI drop, which predicted successful ablation, was >21 Ω at anterior sites and >18 Ω at posterior sites. There was a non-linear association between the magnitude of LI drop and contact-force (CF) (r = 0.14, 95% CI: 0.13–0.16, p < 0.0001) whereas both CF and LI drop were inversely related with delivery time (DT) (−0.22, −0.23 to −0.20, p < 0.0001 for CF; −0.27, −0.29 to −0.26, p < 0.0001 for LI drop). CONCLUSION: An LI drop >21 Ω at anterior sites and >18 Ω at posterior sites predicts successful ablation. A higher CF was associated with an increased likelihood of ideal LI drop. The combination of good CF and adequate LI drop allows a significant reduction in RF DT. CLINICAL TRIAL REGISTRATION: http://clinicaltrials.gov/, identifier: NCT03793998. Frontiers Media S.A. 2023-07-05 /pmc/articles/PMC10354239/ /pubmed/37476572 http://dx.doi.org/10.3389/fcvm.2023.1169037 Text en © 2023 Lepillier, Maggio, De Sanctis, Malacrida, Stabile, Zakine, Champ-Rigot, Anselmino, Segreti, Dell'Era, Garnier, Mascia, Pandozi, Dello Russo, Scaglione, Cosaro, Ferraro, Paziaud, Maglia and Solimene. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Cardiovascular Medicine Lepillier, Antoine Maggio, Ruggero De Sanctis, Valerio Malacrida, Maurizio Stabile, Giuseppe Zakine, Cyril Champ-Rigot, Laure Anselmino, Matteo Segreti, Luca Dell’Era, Gabriele Garnier, Fabien Mascia, Giuseppe Pandozi, Claudio Dello Russo, Antonio Scaglione, Marco Cosaro, Giuseppe Ferraro, Anna Paziaud, Olivier Maglia, Giampiero Solimene, Francesco Insight into contact force local impedance technology for predicting effective pulmonary vein isolation |
title | Insight into contact force local impedance technology for predicting effective pulmonary vein isolation |
title_full | Insight into contact force local impedance technology for predicting effective pulmonary vein isolation |
title_fullStr | Insight into contact force local impedance technology for predicting effective pulmonary vein isolation |
title_full_unstemmed | Insight into contact force local impedance technology for predicting effective pulmonary vein isolation |
title_short | Insight into contact force local impedance technology for predicting effective pulmonary vein isolation |
title_sort | insight into contact force local impedance technology for predicting effective pulmonary vein isolation |
topic | Cardiovascular Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10354239/ https://www.ncbi.nlm.nih.gov/pubmed/37476572 http://dx.doi.org/10.3389/fcvm.2023.1169037 |
work_keys_str_mv | AT lepillierantoine insightintocontactforcelocalimpedancetechnologyforpredictingeffectivepulmonaryveinisolation AT maggioruggero insightintocontactforcelocalimpedancetechnologyforpredictingeffectivepulmonaryveinisolation AT desanctisvalerio insightintocontactforcelocalimpedancetechnologyforpredictingeffectivepulmonaryveinisolation AT malacridamaurizio insightintocontactforcelocalimpedancetechnologyforpredictingeffectivepulmonaryveinisolation AT stabilegiuseppe insightintocontactforcelocalimpedancetechnologyforpredictingeffectivepulmonaryveinisolation AT zakinecyril insightintocontactforcelocalimpedancetechnologyforpredictingeffectivepulmonaryveinisolation AT champrigotlaure insightintocontactforcelocalimpedancetechnologyforpredictingeffectivepulmonaryveinisolation AT anselminomatteo insightintocontactforcelocalimpedancetechnologyforpredictingeffectivepulmonaryveinisolation AT segretiluca insightintocontactforcelocalimpedancetechnologyforpredictingeffectivepulmonaryveinisolation AT delleragabriele insightintocontactforcelocalimpedancetechnologyforpredictingeffectivepulmonaryveinisolation AT garnierfabien insightintocontactforcelocalimpedancetechnologyforpredictingeffectivepulmonaryveinisolation AT masciagiuseppe insightintocontactforcelocalimpedancetechnologyforpredictingeffectivepulmonaryveinisolation AT pandoziclaudio insightintocontactforcelocalimpedancetechnologyforpredictingeffectivepulmonaryveinisolation AT dellorussoantonio insightintocontactforcelocalimpedancetechnologyforpredictingeffectivepulmonaryveinisolation AT scaglionemarco insightintocontactforcelocalimpedancetechnologyforpredictingeffectivepulmonaryveinisolation AT cosarogiuseppe insightintocontactforcelocalimpedancetechnologyforpredictingeffectivepulmonaryveinisolation AT ferraroanna insightintocontactforcelocalimpedancetechnologyforpredictingeffectivepulmonaryveinisolation AT paziaudolivier insightintocontactforcelocalimpedancetechnologyforpredictingeffectivepulmonaryveinisolation AT magliagiampiero insightintocontactforcelocalimpedancetechnologyforpredictingeffectivepulmonaryveinisolation AT solimenefrancesco insightintocontactforcelocalimpedancetechnologyforpredictingeffectivepulmonaryveinisolation |