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P-Wave Beat-to-Beat Analysis to Predict Atrial Fibrillation Recurrence after Catheter Ablation

Diagnostics, ISSN: 2075-4418, Vol: 12, Issue: 4
2022
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Article Description

The identification of patients prone to atrial fibrillation (AF) relapse after catheter ablation is essential for better patient selection and risk stratification. The current prospective cohort study aims to validate a novel P-wave index based on beat-to-beat (B2B) P-wave morphological and wavelet analysis designed to detect patients with low burden AF as a predictor of AF recurrence within a year after successful catheter ablation. From a total of 138 consecutive patients scheduled for AF ablation, 12-lead ECG and 10 min vectorcardiogram (VCG) recordings were obtained. Univariate analysis revealed that patients with higher B2B P-wave index had a two-fold risk for AF recurrence (HR: 2.35, 95% CI: 1.24–4.44, p: 0.010), along with prolonged P-wave, interatrial block, early AF recurrence, female gender, heart failure history, previous stroke, and CHADS-VASc score. Multivariate analysis of assessable predictors before ablation revealed that B2B P-wave index, along with heart failure history and a history of previous stroke or transient ischemic attack, are independent predicting factors of atrial fibrillation recurrence. Further studies are needed to assess the predictive value of the B2B index with greater accuracy and evaluate a possible relationship with atrial substrate analysis.

Bibliographic Details

Tachmatzidis, Dimitrios; Tsarouchas, Anastasios; Mouselimis, Dimitrios; Filos, Dimitrios; Antoniadis, Antonios P; Lysitsas, Dimitrios N; Mezilis, Nikolaos; Sakellaropoulou, Antigoni; Giannopoulos, Georgios; Bakogiannis, Constantinos; Triantafyllou, Konstantinos; Fragakis, Nikolaos; Letsas, Konstantinos P; Asvestas, Dimitrios; Efremidis, Michael; Lazaridis, Charalampos; Chouvarda, Ioanna; Vassilikos, Vassilios P

MDPI AG

Biochemistry, Genetics and Molecular Biology

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