Association Between Electrocardiographic Age and Cardiovascular Events in Community Settings: The Framingham Heart Study
Key result
Every 10-year increase in the gap between ECG-age and chronological age was associated with an 18% increase in all-cause mortality (HR 1.18; 95% CI 1.12-1.23).
Why the study?
The predictive ability of ECG-estimated age had previously been restricted to clinical settings or relatively short follow-up periods.
Is the gap between electrocardiographic age and chronological age associated with death and cardiovascular outcomes in a community-based cohort?
Population
9877 Framingham Heart Study participants with 34 948 ECGs
Comparison
Accelerated vs normal vs decelerated aging based on Δage
Design
Community-based cohort study
Follow-up
17±8 years
Authors
Discussion
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Member takes
Implication
ECG-age was associated with long-term outcomes in FHS; extends clinical data but leaves incremental utility open.
Study Design
Type
Cohort (n=9,877)
Structured PICO
Is the gap between electrocardiographic age and chronological age associated with death and cardiovascular outcomes in a community-based cohort?
P
Population
9,877 community-dwelling participants from the Framingham Heart Study (mean age 55 years, 54.9% women), followed for a mean of 17 years.
E
Exposure
Electrocardiographic age (ECG-age) estimated by deep neural networks, specifically the gap between chronological and ECG-age (Δage) and classification into accelerated or decelerated aging.
C
Comparator
Normal aging (Δage within the mean absolute error of the model).
O
Outcome
Death or cardiovascular outcomes (atrial fibrillation, myocardial infarction, and heart failure).hard clinical
Main Result
Hazard Ratio: 1.18 (95% CI 1.12–1.23)
The difference between deep neural network-derived ECG-age and chronological age is a scalable biomarker associated with long-term mortality and cardiovascular events in a community setting.
Cite This Study
Brant et al. (2023) conducted a cohort in Cardiovascular risk in community settings (n=9,877). Gap between chronological and ECG-age (Δage) vs. Normal aging (Δage within mean absolute error) was evaluated on All-cause mortality (HR 1.18, 95% CI 1.12-1.23). Every 10-year increase in the gap between ECG-age and chronological age was associated with an 18% increase in all-cause mortality (HR 1.18; 95% CI 1.12-1.23).