ArticleESC heart failure2016
ECG as a first step in the detection of left ventricular systolic dysfunction in the elderly.
Article in ESC heart failure, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 36 citations in OpenAlex.
- Detection and prognostic stratification of left ventricular systolic dysfunction in left bundle branch block using an artificial intelligence-enabled electrocardiography.Journal of cardiovascular imaging · 2026Article
- Prediction of left ventricular systolic dysfunction in left bundle branch block using a fine-tuned ECG foundation model.Scientific reports · 2026Article
- Estimating LVEF from ECG with GPT-4o Fine-Tuned Vision: A Novel Approach in AI-Driven Cardiac Diagnostics.Journal of medical systems · 2025Article
- Transparent and Robust Artificial Intelligence-Driven Electrocardiogram Model for Left Ventricular Systolic Dysfunction.Diagnostics (Basel, Switzerland) · 2025Article
- Artificial intelligence in ECG-based diagnosis of low left ventricular ejection fraction: a systematic review and meta-analysis.Biomedical engineering letters · 2025Review
- Diagnostic accuracy of ECG and N-terminal pro B-type natriuretic peptide for cardiac dysfunction among asymptomatic long-term breast cancer survivors.Journal of cardiovascular medicine (Hagerstown, Md.) · 2025Article
- Adiponectin - stratification biomarker in diastolic cardiac dysfunction.Journal of enzyme inhibition and medicinal chemistry · 2023Article
- Electrocardiographic Patterns of Depolarization Abnormalities Help to Identify Reduced Left Ventricular Ejection Fraction.Diagnostics (Basel, Switzerland) · 2022Article
- Assessment of Selected Baseline and Post-PCI Electrocardiographic Parameters as Predictors of Left Ventricular Systolic Dysfunction after a First ST-Segment Elevation Myocardial Infarction.Journal of clinical medicine · 2021Article
- Artificial Intelligence-Augmented Electrocardiogram Detection of Left Ventricular Systolic Dysfunction in the General Population.Mayo Clinic proceedings · 2021Article
- Electrocardiography Score for Left Ventricular Systolic Dysfunction in Non-ST Segment Elevation Acute Coronary Syndrome.Frontiers in cardiovascular medicine · 2021Article
- Artificial Intelligence-Enabled ECG: a Modern Lens on an Old Technology.Current cardiology reports · 2020Review
- 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
- Association between electrocardiographic and echocardiographic markers of stage B heart failure and cardiovascular outcome.ESC heart failure · 2017Article
- ECG as a first step in the detection of left ventricular systolic dysfunction in the elderly.ESC heart failure · 2016Article
- Upregulation of Soluble HLA-G in Chronic Left Ventricular Systolic Dysfunction.Journal of immunology research · 2016Article
- Artificial intelligence-enabled electrocardiogram screens low left ventricular ejection fraction with a degree of confidence.Digital healthArticle
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimsDue to the demographic development there is an increasing number of senior citizens with left ventricular systolic dysfunction (LVSD), defined as ejection fraction (EF) < 40%. Unfortunately there are under-diagnosis and under-treatment in the elderly of this serious condition. Echocardiography is the gold standard to diagnose LVSD, but access is limited. Simple screening methods may ensure reduction of undetected cases, and this study investigates if electrocardiogram (ECG) can be used to screen for LVSD in the geriatric population. METHODS AND
resultsA total of 260 persons aged 75 to 92 years had an echocardiography, a 12 leads ECG, and NT-proBNP; 61 had EF < 40%, and of these 60 had an abnormal ECG. EF < 40% was significantly related to atrial fibrillation (A), pacing (P), LBBB (L), Q-waves (Q), and QRS duration ≥ 120 ms (D). EF < 40%, atrial fibrillation, pacing, and LBBB were related to NT-proBNP > 35 pmol/L. When APL was absent, NT-proBNP had discriminatory value regarding LVSD in the presence of Q-waves or QRS duration > 120 ms. Algorithms to screen for LVSD had sensitivity >90% and specificity >80% and claimed at least one of five (A/P/L/Q/D), one of 4 (A/P/L/Q), or one of three (A/Q/D) ECG changes. The optimal algorithm to reduce the need for diagnostic echocardiographies included four (A/P/L/Q) ECG changes and measurement of NT-proBNP when Q-waves were the only ECG change present.
conclusionsNinety percent of LVSD may be detected, and when there is atrial fibrillation, pacing or LBBB, or QRS ≥ 120 ms/Q-waves and NT-proBNP>35 pmol/L, a diagnostic echocardiography should be considered.
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