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.
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Cardiovascular disease is an important mortality contributor. The related pathological processes often start early and deteriorate silently for years. According to this study, ‘heart age’ can be accurately estimated from a 10-s 12-lead ECG. Contrasted with the patient’s chronological age, it could be a strong incentive for patients in terms of lifestyle changes and medication compliance, similarly to ‘lung age’ with smokers. Calculated on the basis of Bayesian techniques, #ECG-based heart age could now be more readily implemented in clinical practice.
Cardiovascular disease is a significant contributor to mortality, with related pathological processes often beginning early and progressing silently for many years1,2,3. Many risk factors for developing cardiovascular disease are lifestyle-related4. Fortunately, several are modifiable, and risk can therefore be reduced, for example by smoking cessation, dietary changes and increased physical activity
