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DOI 10.1016/j.jacep.2025.12.013

Медицинская библиотека · JACC. Clinical electrophysiology · 2026

Smartphone Application-Derived Clusters of Persistent Symptoms in Patients After Atrial Fibrillation Ablation: Data From the ISOLATION Study.

Sandgren Emma, Betz Konstanze, Gawalko Monika, Hermans Astrid, Habibi Zarina, Verhaert Dominique, Philippens Suzanne, Vorstermans Bianca, Kessesl Mandy, Hendriks Jeroen M, den Uijl Dennis, Chaldoupi Sevasti-Maria, Luermans Justin, Lankveld Theo, Schotten Ulrich, Vernooy Kevin, Rienstra Michiel, Linz Dominik

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Аннотация

BACKGROUND

Atrial fibrillation (AF) is characterized by a heterogeneous presentation of symptoms. AF ablation reduces symptom burden. However, persistent symptoms following AF ablation are common independently of AF recurrence.

OBJECTIVES

This study sought to perform a cluster analysis to identify clinically relevant AF subphenotypes based on persistent symptoms following AF ablation and evaluate their associations with clinical characteristics and AF recurrence.

METHODS

Patients were instructed to perform smartphone app-based simultaneous symptom and photoplethysmography heart rhythm monitoring 3 times daily for 1 week at the 3-month follow-up after AF ablation. A two-step cluster analysis including 7 categorical symptoms variables was performed in symptomatic patients.

RESULTS

In total, half of all patients (n = 313 of 614 [51%]) reported symptoms. Five symptom clusters were identified: nonspecified symptoms (n = 52 [17%]), AF with sparse symptoms (n = 93 [30%]), palpitations (n = 47 [15%]), fatigue with comorbidities (n = 63 [20%]), and sinus rhythm with severe symptoms (n = 58 [19%]). Frequency (P < 0.001) and pattern (P < 0.001) of symptom reporting as well as AF recurrence (P < 0.001), AF load (P < 0.001), AF pattern (P = 0.002 and P = 0.005), and symptom-rhythm correlation (P < 0.001) differed between clusters. Furthermore, age (P < 0.01), N-terminal pro-B-type natriuretic peptide levels (P < 0.01), CHA2DS2-VA score (P < 0.001), and left atrial volume index (P = 0.01) differed between clusters.

CONCLUSIONS

Half of all patients report symptoms after AF ablation. Using cluster analysis, 5 symptom-based AF subphenotypes were identified, each with distinct clinical characteristics, biomarker profiles, AF recurrence, AF pattern, AF and symptom burden, and symptom-rhythm correlation. Symptom clusters empowered by digital health may facilitate individualized AF management strategies following AF ablation.

Для цитирования: Sandgren Emma, Betz Konstanze, Gawalko Monika, Hermans Astrid, Habibi Zarina, Verhaert Dominique, Philippens Suzanne, Vorstermans Bianca, Kessesl Mandy, Hendriks Jeroen M, den Uijl Dennis, Chaldoupi Sevasti-Maria, Luermans Justin, Lankveld Theo, Schotten Ulrich, Vernooy Kevin, Rienstra Michiel, Linz Dominik. Smartphone Application-Derived Clusters of Persistent Symptoms in Patients After Atrial Fibrillation Ablation: Data From the ISOLATION Study.. JACC. Clinical electrophysiology. 2026. DOI: 10.1016/j.jacep.2025.12.013.

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