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Predicting acute termination and non-termination during ablation of human atrial fibrillation using quantitative indices

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Predicting acute termination and non-termination during ablation of human atrial fibrillation using quantitative indices

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dc.contributor.author	Rodrigo Bort, Miguel
dc.contributor.author	Kappel, Cole
dc.contributor.author	Reiss, Michael
dc.contributor.author	Ganesan, Prasanth
dc.contributor.author	Narayan, Sanjiv M.
dc.contributor.author	Rappel, Wouter-Jan
dc.date.accessioned	2023-05-22T10:02:30Z
dc.date.available	2023-05-22T10:02:30Z
dc.date.issued	2022
dc.identifier.citation	Rodrigo Bort, Miguel Kappel, Cole Reiss, Michael Ganesan, Prasanth Narayan, Sanjiv M. Rappel, Wouter-Jan 2022 Predicting acute termination and non-termination during ablation of human atrial fibrillation using quantitative indices Frontiers In Physiology 13 1 10
dc.identifier.uri	https://hdl.handle.net/10550/86781
dc.description.abstract	Background: Termination of atrial fibrillation (AF), the most common arrhythmia in the United States, during catheter ablation is an attractive procedural endpoint, which has been associated with improved long-term outcome in some studies. It is not clear, however, whether it is possible to predict termination using clinical data. We developed and applied three quantitative indices in global multielectrode recordings of AF prior to ablation: average dominant frequency (ADF), spectral power index (SPI), and electrogram quality index (EQI). Methods: In N = 42 persistent AF patients (65 ± 9 years, 14% female) we collected unipolar electrograms from 64-pole baskets (Abbott, CA). We studied N = 17 patients in whom AF terminated during ablation ('Term') and N = 25 in whom it did not ('Non-term'). For each index, we determined its ability to predict ablation by computing receiver operating characteristic (ROC) and calculated the area under the curve (AUC). Results: The ADF did not differ for Term and Non-term patients at 5.28 ± 0.82 Hz and 5.51 ± 0.81 Hz, respectively (p = 0.34). Conversely, the SPI for these two groups was. 0.85 (0.80-0.92) and 0.97 (0.93-0.98) and the EQI was 0.61 (0.58-0.64) and 0.56 (0.55-0.59) (p < 0.0001). The AUC for predicting AF termination for the SPI was 0.85 ([0.68, 0.95] 95% CI), and for the EQI, 0.86 ([0.72, 0.95] 95% CI). Conclusion: Both the EQI and the SPI may provide a useful clinical tool to predict procedural ablation outcome in persistent AF patients. Future studies are required to identify which physiological features of AF are revealed by these indices and hence linked to AF termination or non-termination.
dc.language.iso	eng
dc.relation.ispartof	Frontiers In Physiology, 2022, vol. 13, p. 1-10
dc.subject	Enginyeria
dc.title	Predicting acute termination and non-termination during ablation of human atrial fibrillation using quantitative indices
dc.type	journal article
dc.date.updated	2023-05-22T10:02:30Z
dc.identifier.doi	10.3389/fphys.2022.939350
dc.identifier.idgrec	158802
dc.rights.accessRights	open access