ArticleBMC geriatrics2021
Prediction of biological age and all-cause mortality by 12-lead electrocardiogram in patients without structural heart disease.
Article in BMC geriatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 33 citations in OpenAlex.
- A machine learning-derived biological age model for liver grafts provides a superior assessment of aging compared to chronological age in transplantation.Scientific reports · 2026Article
- Artificial intelligence-predicted ECG age gap as a biomarker: bias-adjusted correlation with mortality and cardiovascular risk factors.European heart journal. Digital health · 2026Article
- Artificial Intelligence-Enhanced Electrocardiography for Predicting Paroxysmal Atrial Fibrillation From Sinus Rhythm: Impact of Data Integration Across Institutions and Devices.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2026Article
- Utility of convolutional neural network-enhanced electrocardiogram to diagnose and predict mitral regurgitation in patients with chronic atrial fibrillation.Heart and vessels · 2025Article
- Development and internal validation of an age less-dependent frailty score in the cardiovascular health study.Frontiers in medicine · 2025Article
- Age estimation via electrocardiogram from smartwatches.npj biomedical innovations · 2025Article
- Advanced electrocardiography heart age: a prognostic, explainable machine learning approach applicable to sinus and non-sinus rhythms.European heart journal. Digital health · 2025Article
- Clinical biomarker-based biological age predicts deaths in Brazilian adults: the ELSA-Brasil study.GeroScience · 2024Article
- EchoAGE: Echocardiography-based Neural Network Model Forecasting Heart Biological Age.Aging and disease · 2024Article
- Identifying patients with acute aortic dissection using an electrocardiogram with convolutional neural network.International journal of cardiology. Heart & vasculature · 2024Article
- Lead-Specific Performance for Atrial Fibrillation Detection in Convolutional Neural Network Models Using Sinus Rhythm Electrocardiography.Circulation reports · 2024Article
- Enhancing ECG-based heart age: impact of acquisition parameters and generalization strategies for varying signal morphologies and corruptions.Frontiers in cardiovascular medicine · 2024Article
- Heart age gap estimated by explainable advanced electrocardiography is associated with cardiovascular risk factors and survival.European heart journal. Digital health · 2023Article
- Predicting Future Incidences of Cardiac Arrhythmias Using Discrete Heartbeats from Normal Sinus Rhythm ECG Signals via Deep Learning Methods.Diagnostics (Basel, Switzerland) · 2023Article
- Cardiovascular events and artificial intelligence-predicted age using 12-lead electrocardiograms.International journal of cardiology. Heart & vasculature · 2023Article
- All-Subset Analysis Improves the Predictive Accuracy of Biological Age for All-Cause Mortality in Chinese and U.S. Populations.The journals of gerontology. Series A, Biological sciences and medical sciences · 2022Article
- Heart age estimated using explainable advanced electrocardiography.Scientific reports · 2022Article
- Electrocardiogram-Based Heart Age Estimation by a Deep Learning Model Provides More Information on the Incidence of Cardiovascular Disorders.Frontiers in cardiovascular medicine · 2022Article
- QT interval is correlated with and can predict the comorbidity of depression and anxiety: A cross-sectional study on outpatients with first-episode depression.Frontiers in cardiovascular medicine · 2022Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
backgroundThere is a well-established relationship between 12-lead electrocardiogram (ECG) and age and mortality. Furthermore, there is increasing evidence that ECG can be used to predict biological age. However, the utility of biological age from ECG for predicting mortality remains unclear.
methodsThis was a single-center cohort study from a cardiology specialized hospital. A total of 19,170 patients registered in this study from February 2010 to March 2018. ECG was analyzed in a final 12,837 patients after excluding those with structural heart disease or with pacing beats, atrial or ventricular tachyarrhythmia, or an indeterminate axis (R axis > 180°) on index ECG. The models for biological age were developed by principal component analysis (BA) and the Klemera and Doubal's method (not adjusted for age [BA
resultsDuring the mean follow-up period of 320.4 days, there were 55 all-cause deaths and 23 cardiovascular deaths. The predictive capabilities for all-cause death by BA, BA
conclusionBiological age by 12-lead ECG showed a similar predictive capability for mortality compared to CA among total patients, but partially showed a significant increase in predictive capability among patients aged 60-74 years old.
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