Arrhythmias & electrophysiologyResearch article

Smartphone Application–Derived Clusters of Persistent Symptoms in Patients After Atrial Fibrillation Ablation

JACC Clin ElectrophysiolPublished

  • cluster analysis
  • two-step cluster analysis
  • smartphone app-based simultaneous symptom and photoplethysmography heart rhythm monitoring

Authors' conclusion

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.

Study context

Population
Patients at the 3-month follow-up after atrial fibrillation (AF) ablation313 of 614 [51%] reported symptoms, cluster analysis in symptomatic patients
Participants
614 patients
Comparison
Symptom clusters compared on clinical characteristics and AF recurrence
  • nonspecified symptomsn = 52
  • AF with sparse symptomsn = 93
  • palpitationsn = 47
  • fatigue with comorbiditiesn = 63
  • sinus rhythm with severe symptomsn = 58

Main finding

As reported in the abstract

Patients reporting symptoms · 3-month follow-up after AF ablation

Patients reporting symptoms

n = 313 of 614 [51%]

Further findings

OutcomeValues
Symptom clusters identified · percentages of symptomatic patientsnonspecified symptoms 17% · AF with sparse symptoms 30% · palpitations 15% · fatigue with comorbidities 20% · sinus rhythm with severe symptoms 19%

Symptom reporting, AF recurrence, AF load, AF pattern and symptom-rhythm correlation across clusters

Frequency of symptom reporting differed between clusters
P < 0.001
Pattern of symptom reporting differed between clusters
P < 0.001
AF recurrence differed between clusters
P < 0.001
AF load differed between clusters
P < 0.001
AF pattern differed between clusters
P = 0.002 and P = 0.005
Symptom-rhythm correlation differed between clusters
P < 0.001

Clinical characteristics across clusters

Age differed between clusters
P < 0.01
N-terminal pro-B-type natriuretic peptide levels differed between clusters
P < 0.01
CHA2DS2-VA score differed between clusters
P < 0.001
Left atrial volume index differed between clusters
P = 0.01

Original publication

Smartphone Application–Derived Clusters of Persistent Symptoms in Patients After Atrial Fibrillation Ablation. JACC Clin Electrophysiol. Published 14 January 2026. doi:10.1016/j.jacep.2025.12.013

Summarised from the published abstract; every number is checked against it