Arrhythmias & electrophysiology

Comprehensive risk factor analysis of sick sinus syndrome: a genetic, sociodemographic, clinical and laboratory investigation using the UK Biobank data

HeartPublished UK Biobank cohort analysis

Authors' conclusion

In addition to sociodemographic and clinical risk factors, AF PRS and cystatin C were linked to the SSS incidence. Although their inclusion modestly improved prediction, these findings highlighted the potential of integrating genetic and biomarker information for comprehensive SSS risk assessments.

Study context

Population
Individuals aged 38–73 years enrolled in the UK Biobank 2006 to 2010, excluding those with incomplete data, prior atrial fibrillation (AF) or valvular diseaseanalysed, of 502,421 enrolled, median age 58.0 (IQR, 50.0–64.0) years, 213,684 (45.2%) male
Participants
405,869 individuals
Exposure
AF polygenic risk score (PRS) risk groups and sociodemographic, clinical, laboratory variables in predicting sick sinus syndrome (SSS) incidence
Outcome
SSS events
Follow-up
Median 11.9 years
Methodological detailsCox regression, 22 centres
  • Cox regression
  • 22 centres

Main finding

As reported in the abstract

SSS events

769

Observational data: associations, not effects.

Further findings

OutcomeEstimate
SSS incidence by sociodemographic and clinical factorsAgeHR 1.52 per 5 years (95% CI 1.43–1.62)
SSS risk by AF PRS groupHighvs low82% higher SSS riskHR 1.82 (95% CI 1.45–2.29)
SSS risk by AF PRS groupIntermediatevs low32% higher SSS riskHR 1.32 (95% CI 1.07–1.62)

SSS incidence by sociodemographic and clinical factors

HR (95% CI)
Male sex1.39 (1.03–1.88)
Prior myocardial infarction1.54 (1.08–2.21)
Hypertension1.21 (1.02–1.42)

SSS risk by cystatin C

HR (95% CI)
Cystatin CAssociated with increased risk1.71 (1.33–2.22)

Model C-index

C-index with sociodemographic and clinical variables
0.752
C-index with genetic and biomarker data added
0.760

Original publication

Comprehensive risk factor analysis of sick sinus syndrome: a genetic, sociodemographic, clinical and laboratory investigation using the UK Biobank data. Heart. Published 28 January 2026. doi:10.1136/heartjnl-2025-327272

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