ArticleJACC. Clinical electrophysiology2015
Electrocardiographic Markers and the Left Ventricular Ejection Fraction have Cumulative Effects on Risk of Sudden Cardiac Death.
Article in JACC. Clinical electrophysiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Body mass index, abdominal fatness, and the risk of sudden cardiac death: a systematic review and dose-response meta-analysis of prospective studies.European journal of epidemiology · 2018Pooled it
- LightGBM-Based Classification of Heart Failure Phenotypes Using Morpho-Energy Features from High-Resolution ECG.Sensors (Basel, Switzerland) · 2026Article
- Electrocardiographic predictors of ventricular arrhythmic events in ICD recipients: signal beyond the left ventricular ejection fraction threshold.BMC cardiovascular disorders · 2026Article
- Sudden cardiac arrest prediction via deep learning electrocardiogram analysis.European heart journal. Digital health · 2025Article
- Dynamic risk stratification of worsening heart failure using a deep learning-enabled implanted ambulatory single-lead electrocardiogram.European heart journal. Digital health · 2024Article
- Comparison of Electrocardiographic Parameters by Gender in Heart Failure Patients with Preserved Ejection Fraction via Artificial Intelligence.Diagnostics (Basel, Switzerland) · 2023Article
- Machine Learned Cellular Phenotypes in Cardiomyopathy Predict Sudden Death.Circulation research · 2021Article
- Develop and Apply Electrocardiography-Based Risk Score to Identify Community-Based Elderly Individuals at High-Risk of Mortality.Frontiers in cardiovascular medicine · 2021Article
- Sudden Cardiac Death (SCD) - risk stratification and prediction with molecular biomarkers.Journal of biomedical science · 2019Review
- Electrical risk score beyond the left ventricular ejection fraction: prediction of sudden cardiac death in the Oregon Sudden Unexpected Death Study and the Atherosclerosis Risk in Communities Study.European heart journal · 2017Article
- Tpeak-to-Tend interval corrected for heart rate: A more precise measure of increased sudden death risk?Heart rhythm · 2016Article
- Non-ischemic cardiomyopathy in the elderly: A shocking conundrum.Indian pacing and electrophysiology journalArticle
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
objectivesTo assess potential improvement in SCD risk prediction by adding selected risk markers from the 12-lead ECG to measurement of the left ventricular ejection fraction (LVEF).
backgroundNovel strategies to improve risk stratification for sudden cardiac death (SCD) are needed. Given the modest odds associated with most individual risk markers, combining multiple markers may be a useful approach.
methodsFrom the ongoing Oregon Sudden Unexpected Death Study, SCD cases with pre-event LVEF available were compared to matched control subjects with coronary artery disease. Resting heart rate, QRS duration (QRSD), and JTc intervals were measured from archived ECGs prior and unrelated to the SCD event. Independent odds of SCD for individual and combined ECG markers were calculated.
resultsSCD cases (n= 317; 67.9 ± 12.9 years) were more likely than controls (n=317; 67.9 ± 12.8 years) to have LVEF ≤ 35% (26% vs. 11%). Mean heart rate, QRSD, and JTc were significantly higher in cases (all p<0.0001). In adjusted analyses, higher heart rate [OR 2.6 (1.8 - 3.7)], QRSD [OR 1.5 (1.0 - 2.5)] and JTc [OR 2.3 (1.6 - 3.4)] were independently associated with SCD. When ECG markers were combined, SCD odds progressively increased with one [OR 3.4 (2.1 - 5.4)] and ≥ 2 elevated markers [OR 6.3 (3.3 - 12.1)]. Addition of ECG markers to an adjusted model with LVEF improved discrimination (C statistic 0.724 vs. 0.642) and net reclassification (by 22.7%) (p<0.0001).
conclusionsCombining selected 12-lead ECG markers with LVEF improves SCD risk prediction, and warrants further investigation in prospective studies.
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