Fenotypic expressions and clinical manifestations of arrhythmogenic cardiomyopathy

Martina Setti1,2, Antonio De Luca1, Alessia Paldino1

  • 1Center for Diagnosis and Treatment of Cardiomyopathies, Cardiovascular Department, Azienda Sanitaria Universitaria Giuliano-Isontina (ASUGI), University of Trieste, Via Giacomo Puccini, 50, 34148 Trieste, Italy.

Insights

Arrhythmogenic cardiomyopathy (ACM) is a heart condition causing arrhythmias and sudden death risk. Comprehensive diagnosis using imaging and genetics aids risk stratification and personalized treatment for better patient outcomes.

Area of Science:

  • Cardiology
  • Genetics
  • Medical Diagnostics

Background:

  • Arrhythmogenic cardiomyopathy (ACM) involves myocardial structural changes, leading to ventricular arrhythmias and sudden cardiac death.
  • Initially focused on the right ventricle, ACM now includes left ventricular involvement (LV non-dilated cardiomyopathy phenotypes).
  • ACM presents heterogeneously, with symptoms ranging from arrhythmias and heart failure to myocarditis-like episodes and extracardiac manifestations.

Purpose of the Study:

  • To highlight the importance of a comprehensive diagnostic approach for Arrhythmogenic Cardiomyopathy (ACM).
  • To emphasize the integration of imaging and genetic analysis for arrhythmic risk stratification.
  • To underscore the role of genotype-phenotype correlations and predictive scores in personalized ACM management.

Main Methods:

  • Utilizing imaging modalities like echocardiogram and cardiac magnetic resonance imaging to identify fibro-fatty replacement or non-ischemic scarring.
  • Integrating genetic analysis to detect causative mutations.
  • Applying the 2023 European Society of Cardiology guidelines for Cardiomyopathies.

Main Results:

  • Diagnosis of ACM relies on a combination of imaging findings and genetic analysis.
  • The 2023 ESC guidelines emphasize a holistic approach for diagnosis and management.
  • Growing evidence supports genotype-phenotype correlations and predictive scores for improved clinical outcomes.

Conclusions:

  • A comprehensive diagnostic strategy integrating imaging and genetics is crucial for effective ACM management.
  • Personalized treatment plans, informed by genotype-phenotype correlations and predictive scores, are essential for improving patient care.
  • Advances in understanding ACM heterogeneity and risk stratification are enhancing clinical management and patient outcomes.

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