A computer model of myocardial disarray in simulating ECG features of hypertrophic cardiomyopathy

Area of Science:

• Cardiology
• Computational Biology
• Biophysics

Background:

• Hypertrophic cardiomyopathy (HCM) is a genetic heart disease characterized by abnormal thickening of the heart muscle.
• Patients with HCM often exhibit distinctive electrocardiogram (ECG) abnormalities, but the underlying mechanisms remain incompletely understood.

Purpose of the Study:

• To elucidate the mechanisms behind abnormal ECG findings in hypertrophic cardiomyopathy (HCM) using a realistic computer heart model.
• To investigate the role of myocardial fiber disarray and altered electrophysiology in generating ECG abnormalities characteristic of HCM.

Main Methods:

• A computer heart model with realistic anatomy and rotating fiber orientation was developed.
• Myocardial disarray in hypertrophic regions was simulated using random fiber direction and isotropic properties, contrasting with anisotropic modeling of normal myocardium.
• The model was used to simulate ECGs and compare them with clinical observations.

Main Results:

• The computer model successfully reproduced key ECG features observed in HCM patients, including abnormal Q waves and QS patterns.
• Simulated ECG findings closely matched those seen in clinical practice, validating the model's accuracy.

Conclusions:

• Altered myocardial anisotropy in hypertrophic regions is likely the primary factor responsible for the characteristic ECG features of HCM.
• Computational modeling provides valuable insights into the electrophysiological basis of HCM-related ECG abnormalities.