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Accurate diagnosis of apical hypertrophic cardiomyopathy using explainable advanced electrocardiogram analysis.

Hughes, RK; Thornton, GD; Malcolmson, JW; Pierce, I; Khoury, S; Hornell, A; Knott, K; Captur, G; Moon, JC; Schlegel, TT; et al. Hughes, RK; Thornton, GD; Malcolmson, JW; Pierce, I; Khoury, S; Hornell, A; Knott, K; Captur, G; Moon, JC; Schlegel, TT; Ugander, M (2024) Accurate diagnosis of apical hypertrophic cardiomyopathy using explainable advanced electrocardiogram analysis. Europace, 26 (4). euae093. ISSN 1532-2092 https://doi.org/10.1093/europace/euae093
SGUL Authors: Khoury, Shafik

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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. 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)]. 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.

Item Type: Article
Additional Information: © The Author(s) 2024. Published by Oxford University Press on behalf of the European Society of Cardiology. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Keywords: Apical hypertrophic cardiomyopathy, Electrocardiography, Hypertrophic cardiomyopathy, Vectorcardiography, Humans, Cardiomyopathy, Hypertrophic, Electrocardiography, Male, Female, Middle Aged, Aged, Predictive Value of Tests, Reproducibility of Results, Adult, ROC Curve, Logistic Models, Case-Control Studies, Multivariate Analysis, Magnetic Resonance Imaging, Area Under Curve, Diagnosis, Differential, Ventricular Remodeling, Apical Hypertrophic Cardiomyopathy, Humans, Cardiomyopathy, Hypertrophic, Diagnosis, Differential, Magnetic Resonance Imaging, Electrocardiography, Multivariate Analysis, Area Under Curve, Logistic Models, Case-Control Studies, Reproducibility of Results, Predictive Value of Tests, ROC Curve, Ventricular Remodeling, Adult, Aged, Middle Aged, Female, Male, Apical Hypertrophic Cardiomyopathy, Electrocardiography, Vectorcardiography, Apical hypertrophic cardiomyopathy, Hypertrophic cardiomyopathy, 1103 Clinical Sciences, Cardiovascular System & Hematology
Journal or Publication Title: Europace
ISSN: 1532-2092
Language: eng
Dates:
DateEvent
8 April 2024Published
28 March 2024Accepted
Publisher License: Creative Commons: Attribution 4.0
Projects:
Project IDFunderFunder ID
FS/17/82/33222British Heart Foundationhttp://dx.doi.org/10.13039/501100000274
FS/CRTF/21/24128British Heart Foundationhttp://dx.doi.org/10.13039/501100000274
ICA-CDRF-2016-02-068National Institute for Health and Care Researchhttp://dx.doi.org/10.13039/501100000272
#171603National Institute for Health and Care Researchhttp://dx.doi.org/10.13039/501100000272
PubMed ID: 38588067
Web of Science ID: WOS:001223944900001
Go to PubMed abstract
URI: https://openaccess.sgul.ac.uk/id/eprint/116676
Publisher's version: https://doi.org/10.1093/europace/euae093

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