Accurate diagnosis of apical hypertrophic cardiomyopathy using explainable advanced electrocardiogram analysis

Rebecca K Hughes1,2, George D Thornton1,2, James W Malcolmson2,3

  • 1Institute of Cardiovascular Science, University College London, Gower Street, London, UK.

Insights

Explainable advanced ECG (A-ECG) accurately diagnoses apical hypertrophic cardiomyopathy (ApHCM), even with subtle hypertrophy. This electrical analysis offers value beyond traditional imaging for ApHCM diagnosis.

Area of Science:

  • Cardiology
  • Medical Diagnostics
  • Artificial Intelligence in Medicine

Background:

  • Standard electrocardiograms (ECG) have limitations in diagnosing apical hypertrophic cardiomyopathy (ApHCM).
  • ECG is crucial for initial cardiac assessment, often preceding advanced imaging.
  • Subtle or relative hypertrophy in ApHCM can be challenging to detect with conventional ECG.

Purpose of the Study:

  • To evaluate the diagnostic accuracy of explainable advanced ECG (A-ECG) for ApHCM.
  • To determine if A-ECG can identify ApHCM when typical ECG features are absent.
  • To assess the incremental value of A-ECG compared to cardiac imaging.

Main Methods:

  • Analysis of standard resting 12-lead ECGs from patients with ApHCM and various comparator groups.
  • Application of multivariable logistic regression and linear discriminant analysis for A-ECG measures.
  • Comparison of A-ECG diagnostic performance against established benchmarks.

Main Results:

  • A-ECG analysis demonstrated high diagnostic accuracy for ApHCM (AUC 0.982-0.989).
  • Four key A-ECG measures effectively discriminated ApHCM from other cardiac conditions.
  • Accurate diagnosis was achieved even in cases with relative hypertrophy.

Conclusions:

  • Explainable A-ECG offers excellent diagnostic accuracy for ApHCM.
  • A-ECG provides value beyond cardiac imaging, particularly in subtle hypertrophy cases.
  • Integrating electrical (A-ECG) and anatomical (imaging) data may enhance future ApHCM strategies.
Abstract