Arrhythmias & electrophysiology
Latent class analysis-derived patterns of comorbidities in patients with atrial fibrillation, adherence to integrated care and impact on long-term outcomes: an analysis from a prospective cohort
Authors' conclusion
Latent class analysis identified distinct AF clinical phenotypes characterized by specific patterns of comorbidities and associated with different risk of adverse outcomes. The absence of significant heterogeneity in the association between integrated care and outcomes across phenotypes supports its potential value across different levels of clinical complexity in AF patients.
Study context
- Population
- Patients with atrial fibrillation (AF)AF patients included (median age 75 [66–82] years, females 37.5%)
- Participants
- 1,233 patients
- Exposure
- Latent class analysis (LCA)-derived comorbidity phenotypes compared to "Low comorbidity"
- Outcome
- Composite of:
- All-cause death
- Thromboembolic (TE) events
- Acute coronary syndrome (ACS)
- Follow-up
- Median 542 days
Methodological detailslatent class analysis
- Latent class analysis
Main finding
As reported in the abstract
Composite of:
- All-cause death
- Thromboembolic (TE) events
- Acute coronary syndrome (ACS)
Each group vs low comorbidityAdjusted hazard ratio (95% CI)
Cardio-metabolic
1.64(1.13–2.39)
Elderly comorbid
1.62(1.09–2.42)
Atherosclerotic-HF
2.81(1.83–4.34)
- Patients who experienced the primary outcome
- 234 patients (22.7%)
Observational data: associations, not effects.
Secondary outcomes
Distribution of LCA-derived phenotypes
Adherence to integrated care and adverse events across phenotypes
- Adherence to integrated care varied across phenotypes and was associated with a lower risk of adverse events
- No evidence of significant heterogeneity across phenotypes (p int=0.157)
Original publication
Latent class analysis-derived patterns of comorbidities in patients with atrial fibrillation, adherence to integrated care and impact on long-term outcomes: an analysis from a prospective cohort. Heart Rhythm. Published 16 October 2026. doi:10.
Summarised from the published abstract; every number is checked against it