[Association between abnormal electrocardiographic features and disease severity in patients with arrhythmogenic

Ying-jie Zhao1, Yu-he Jia, Li-ke Guan

  • 1Cardiac Arrhythmia Center, Fu Wai Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100037, China.

Insights

Electrocardiogram (ECG) abnormalities, including epsilon waves and prolonged QRS duration, correlate with disease severity in arrhythmogenic right ventricular cardiomyopathy (ARVC). Even a normal ECG does not rule out ARVC diagnosis.

Area of Science:

  • Cardiology
  • Electrophysiology
  • Cardiac Imaging

Context:

  • Arrhythmogenic right ventricular cardiomyopathy (ARVC) is a genetic heart muscle disease.
  • Disease severity in ARVC is often assessed using cardiac magnetic resonance imaging (MRI).
  • Understanding the relationship between ECG findings and ARVC severity is crucial for diagnosis and management.

Purpose:

  • To investigate the association between specific electrocardiographic (ECG) features and the extent of myocardial disease in patients diagnosed with ARVC.
  • To determine if ECG abnormalities can serve as indicators of ARVC progression and severity.

Summary:

  • This study analyzed ECGs of 61 ARVC patients categorized by MRI into local (Group A), diffuse right ventricular (Group B), and biventricular (Group C) involvement.
  • Abnormal ECG findings such as epsilon waves, prolonged QRS duration, and S-wave upstroke abnormalities were more prevalent in patients with more extensive disease (Group C > Group B > Group A).
  • T-wave inversion patterns also varied with disease extent, appearing in precordial leads for Group A and inferior leads for Groups B and C.

Impact:

  • ECG findings, particularly epsilon waves and prolonged QRS duration, are valuable indicators of ARVC severity.
  • Normal ECG results do not exclude ARVC, highlighting the need for comprehensive diagnostic approaches.
  • These findings can aid in risk stratification and guide clinical decision-making for ARVC patients.
Abstract

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