ArticleJournal of the American Heart Association2022
ECG T-Wave Morphologic Variations Predict Ventricular Arrhythmic Risk in Low- and Moderate-Risk Populations.
Article in Journal of the American Heart Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 27 citations in OpenAlex.
- T-wave morphology abnormalities in the STREAM stage 1 trial.Expert opinion on drug safety · 2024Trial
- Spatial and temporal dispersion of ventricular repolarization in pediatric patients with congenital long QT syndrome.HeartRhythm case reports · 2026Article
- Automated detection of non-physiological artifacts on ECG signal: UK Biobank and CRIC.Computers in biology and medicine · 2025Article
- Unsupervised clustering of single-lead electrocardiograms associates with prevalent and incident heart failure in coronary artery disease.European heart journal. Digital health · 2025Article
- Microgravity and Cardiovascular Health in Astronauts: A Narrative Review.Health science reports · 2025Article
- Synchronous recording of magnetocardiographic and electrocardiographic signals.Scientific reports · 2024Article
- Sex-specific cardiovascular risk factors in the UK Biobank.Frontiers in physiology · 2024Article
- Predicting long-term risk of sudden cardiac death with automatic computer-interpretations of electrocardiogram.Frontiers in cardiovascular medicine · 2024Article
- Optimizing patient selection for primary prevention implantable cardioverter-defibrillator implantation: utilizing multimodal machine learning to assess risk of implantable cardioverter-defibrillator non-benefit.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2023Article
- Strain Imaging and Ventricular Arrhythmia.Diagnostics (Basel, Switzerland) · 2023Review
- T-Wave Analysis on the 24 h Holter ECG Monitoring as a Predictive Assessment of Major Adverse Cardiovascular Events in Patients with Myocardial Infarction: A Literature Review and Future Perspectives.Life (Basel, Switzerland) · 2023Review
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 3 countries.
Funding
Abstract
Background Early identification of individuals at risk of sudden cardiac death (SCD) remains a major challenge. The ECG is a simple, common test, with potential for large-scale application. We developed and tested the predictive value of a novel index quantifying T-wave morphologic variations with respect to a normal reference (TMV), which only requires one beat and a single-lead ECG. Methods and Results We obtained reference T-wave morphologies from 23 962 participants in the UK Biobank study. With Cox models, we determined the association between TMV and life-threatening ventricular arrhythmia in an independent data set from UK Biobank study without a history of cardiovascular events (N=51 794; median follow-up of 122 months) and SCD in patients with coronary artery disease from ARTEMIS (N=1872; median follow-up of 60 months). In UK Biobank study, 220 (0.4%) individuals developed life-threatening ventricular arrhythmias. TMV was significantly associated with life-threatening ventricular arrhythmias (hazard ratio [HR] of 1.13 per SD increase [95% CI, 1.03-1.24];
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