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Accurate diagnosis of apical hypertrophic cardiomyopathy using explainable advanced electrocardiogram analysis.
- Source :
-
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 [Europace] 2024 Mar 30; Vol. 26 (4). - Publication Year :
- 2024
-
Abstract
- Aims: Typical electrocardiogram (ECG) features of apical hypertrophic cardiomyopathy (ApHCM) include tall R waves and deep or giant T-wave inversion in the precordial leads, but these features are not always present. The ECG is used as the gatekeeper to cardiac imaging for diagnosis. We tested whether explainable advanced ECG (A-ECG) could accurately diagnose ApHCM.<br />Methods and Results: Advanced ECG analysis was performed on standard resting 12-lead ECGs in patients with ApHCM [n = 75 overt, n = 32 relative (<15 mm hypertrophy); a subgroup of which underwent cardiovascular magnetic resonance (n = 92)], and comparator subjects (n = 2449), including healthy volunteers (n = 1672), patients with coronary artery disease (n = 372), left ventricular electrical remodelling (n = 108), ischaemic (n = 114) or non-ischaemic cardiomyopathy (n = 57), and asymmetrical septal hypertrophy HCM (n = 126). Multivariable logistic regression identified four A-ECG measures that together discriminated ApHCM from other diseases with high accuracy [area under the receiver operating characteristic (AUC) curve (bootstrapped 95% confidence interval) 0.982 (0.965-0.993)]. Linear discriminant analysis also diagnosed ApHCM with high accuracy [AUC 0.989 (0.986-0.991)].<br />Conclusion: Explainable A-ECG has excellent diagnostic accuracy for ApHCM, even when the hypertrophy is relative, with A-ECG analysis providing incremental diagnostic value over imaging alone. The electrical (ECG) and anatomical (wall thickness) disease features do not completely align, suggesting that future diagnostic and management strategies may incorporate both features.<br /> (© The Author(s) 2024. Published by Oxford University Press on behalf of the European Society of Cardiology.)
- Subjects :
- Adult
Aged
Female
Humans
Male
Middle Aged
Area Under Curve
Case-Control Studies
Diagnosis, Differential
Logistic Models
Magnetic Resonance Imaging
Multivariate Analysis
Predictive Value of Tests
Reproducibility of Results
ROC Curve
Ventricular Remodeling
Apical Hypertrophic Cardiomyopathy diagnosis
Electrocardiography methods
Subjects
Details
- Language :
- English
- ISSN :
- 1532-2092
- Volume :
- 26
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- 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
- Publication Type :
- Academic Journal
- Accession number :
- 38588067
- Full Text :
- https://doi.org/10.1093/europace/euae093