ArticleAnnals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc2018
Electrical surrogate for detection of severe left ventricular systolic dysfunction.
Article in Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed, 12 citations in OpenAlex.
- Web-Based Application of Simplified Machine Learning for Detecting Reduced LVEF From 12-Lead ECG.Journal of arrhythmia · 2026Article
- Artificial intelligence in ECG-based diagnosis of low left ventricular ejection fraction: a systematic review and meta-analysis.Biomedical engineering letters · 2025Review
- Artificial Intelligence-Based Left Ventricular Ejection Fraction by Medical Students for Mortality and Readmission Prediction.Diagnostics (Basel, Switzerland) · 2024Article
- Myocardial scar and left ventricular ejection fraction classification for electrocardiography image using multi-task deep learning.Scientific reports · 2024Article
- External validation of a deep learning electrocardiogram algorithm to detect ventricular dysfunction.International journal of cardiology · 2021Article
- Electrocardiography Score for Left Ventricular Systolic Dysfunction in Non-ST Segment Elevation Acute Coronary Syndrome.Frontiers in cardiovascular medicine · 2021Article
- Electrical surrogate for detection of severe left ventricular systolic dysfunction.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2018Article
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Authors and funding
8 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundEarly diagnosis and therapy improves outcomes in heart failure with severely reduced left ventricular ejection fraction (LVEF ≤35%), but some patients may remain undiagnosed. We hypothesized that a combination of electrocardiogram (ECG) markers may identify individuals with severely reduced LVEF.
methodsFrom a community-based study in the Northwest US (the Oregon Sudden Unexpected Death Study), we evaluated the prevalence of conventional ECG markers by LVEF. We then evaluated the association of nine additional ECG markers and LVEF. We validated the correlation of these ECG markers and LVEF in a separate, large health system in Los Angeles, California.
resultsIn the discovery population (n = 1,047), patients with LVEF ≤35% were twice as likely as those with LVEF >35% to have ≥1 conventional ECG abnormality. In the subset without conventional ECG abnormalities, ≥4 abnormal ECG markers from the expanded panel were found in 12% vs. 1% of patients with LVEF ≤35% and >35%, respectively. In the validation population (n = 9,742), 44% with LVEF ≤35% and 17% with LVEF >35% had ≥1 conventional ECG abnormality. In patients without conventional ECG abnormalities (n = 7,601), 40% with LVEF ≤35% and 5% with LVEF >35% had ≥4 abnormal ECG markers from the expanded panel. Each additional abnormal ECG marker from the expanded panel (range 0 to ≥4) more than doubled the odds of LVEF ≤35%.
conclusionsAn expanded panel of easily obtained ECG markers correlated strongly with severely reduced LVEF in two separate populations. This electrical surrogate score could facilitate diagnosis of severely reduced LVEF, and warrants prospective evaluation.
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