Key result
Heart Age can be accurately estimated from a standard 10-s 12-lead ECG, showing strong agreement with 5-min ECG Heart Age (R2 = 0.94) and a Heart Age Gap that increases markedly with cardiovascular risk and disease.
Why the study?
The authors hypothesised that explainable measures from a standard 10-s 12-lead ECG could successfully predict Bayesian 5-min ECG Heart Age without deep neural network techniques.
Can explainable advanced measures from a standard 10-s 12-lead ECG accurately predict Bayesian 5-min ECG Heart Age and reflect cardiovascular risk?
Cross-Sectional (n=2,771)
Yes
Can explainable advanced measures from a standard 10-s 12-lead ECG accurately predict Bayesian 5-min ECG Heart Age and reflect cardiovascular risk?
Heart Age can be accurately estimated from a standard 10-s 12-lead ECG using transparent, explainable measures, and the gap between Heart Age and chronological age increases significantly with cardiovascular risk and disease.
Electrocardiographic (ECG) Heart Age conveying cardiovascular risk has been estimated by both Bayesian and artificial intelligence approaches. We hypothesised that explainable measures from the 10-s 12-lead ECG could successfully predict Bayesian 5-min ECG Heart Age. Advanced analysis was performed on ECGs from healthy subjects and patients with cardiovascular risk or proven heart disease. Regression models were used to predict patients’ Bayesian 5-min ECG Heart Ages from their standard, resting 10-s 12-lead ECGs. The difference between 5-min and 10-s ECG Heart Ages were analyzed, as were the differences between 10-s ECG Heart Age and the chronological age (the Heart Age Gap). In total, 2,771 subjects were included (n = 1682 healthy volunteers, n = 305 with cardiovascular risk factors, n = 784 with cardiovascular disease). Overall, 10-s Heart Age showed strong agreement with the 5-min Heart Age (R 2 = 0.94, p < 0.001, mean ± SD bias 0.0 ± 5.1 years). The Heart Age Gap was 0.0 ± 5.7 years in healthy individuals, 7.4 ± 7.3 years in subjects with cardiovascular risk factors ( p < 0.001), and 14.3 ± 9.2 years in patients with cardiovascular disease ( p < 0.001). Heart Age can be accurately estimated from a 10-s 12-lead ECG in a transparent and explainable fashion based on known ECG measures, without deep neural network-type artificial intelligence techniques. The Heart Age Gap increases markedly with cardiovascular risk and disease.
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Lindow et al. (2022) conducted a cross-sectional in Cardiovascular risk and disease (n=2,771). 10-s 12-lead ECG Heart Age estimation vs. 5-min ECG Heart Age was evaluated on Agreement between 10-s Heart Age and 5-min Heart Age (R2 = 0.94, p=<0.001). Heart Age can be accurately estimated from a standard 10-s 12-lead ECG, showing strong agreement with 5-min ECG Heart Age (R2 = 0.94) and a Heart Age Gap that increases markedly with cardiovascular risk and disease.
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