Atrial Periodic Source Spectrum From Preoperative Body Surface Potentials Predicts Long-Term Recurrence of Atrial Fibrillation.
IEEE Trans Biomed Eng
; 70(7): 2131-2138, 2023 07.
Article
in En
| MEDLINE
| ID: mdl-37018681
ABSTRACT
OBJECTIVE:
About half of patients experience recurrence of atrial fibrillation (AF) within three to five years after a single catheter ablation procedure. The suboptimality of the long-term outcomes likely results from the inter-patient variability of AF mechanisms, which can be remedied by improved patient screening. We aim to improve the interpretation of body surface potentials (BSPs), such as 12-lead electrocardiograms and 252-lead BSP maps, to aid preoperative patient screening.METHODS:
We developed the Atrial Periodic Source Spectrum (APSS), a novel patient-specific representation based on atrial periodic content, computed on the f-wave segments of patient BSPs, using a second-order blind source separation and a Gaussian Process for regression. With follow-up data, Cox's proportional hazard model was used to select the most relevant feature from preoperative APSSs responsible for AF recurrence.RESULTS:
Over 138 persistent AF patients, the presence of highly periodic content with cycle lengths between 220-230 ms or 350-400 ms indicates higher risks of 4-year post-ablation AF recurrence (log-rank test, p-value ). CONCLUSION ANDSIGNIFICANCE:
Preoperative BSPs demonstrate effective prediction in the long-term outcomes, highlighting their potential for patient screening in AF ablation therapy.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Atrial Fibrillation
/
Catheter Ablation
Type of study:
Clinical_trials
/
Diagnostic_studies
/
Prognostic_studies
/
Risk_factors_studies
Limits:
Humans
Language:
En
Journal:
IEEE Trans Biomed Eng
Year:
2023
Document type:
Article