Arrhythmias & electrophysiology
Association Between Social Isolation With Age-Gap Determined by Artificial Intelligence-Enabled Electrocardiography
Authors' conclusion
Social isolation is associated with accelerating biological aging and all-cause mortality independent of conventional cardiovascular risk factors.
Study context
- Population
- Adults aged ≥18 years seen at Mayo Clinic 2019–2022 with a social isolation survey and a 12-lead ECG within 1 year
- Participants
- 280,324 adults
- Exposure
- Social connection vs social isolation
- Outcome
- Age-Gap (AI-ECG age minus chronological age) and all-cause mortality
Methodological detailssingle-centre
- Single-centre
Main finding
As reported in the abstract
SNI = 4 vs SNI = 0Hazard ratio (95% CI)P value
All-cause mortality; Cox proportional hazard analysis
0.47(0.43–0.5)
P < 0.001- Age-Gap; adjusted to covariates
- β −0.11 (95% CI −0.22 to −0.01); P < 0.001
- Mean Age-Gap (all participants)
- −0.2 ± 9.16 years
Observational data: associations, not effects.
Original publication
Association Between Social Isolation With Age-Gap Determined by Artificial Intelligence-Enabled Electrocardiography. JACC Adv. Published 20 March 2024. doi:10.
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