Key result
Arrhythmogenic cardiomyopathy requires combined imaging and genetics for arrhythmic risk stratification and personalized management.
A comprehensive diagnostic approach combining imaging and genetics is crucial for arrhythmic risk stratification and personalized management of arrhythmogenic cardiomyopathy.
Recognition of LV phenotypes expands ACM diagnosis; leaves open optimal risk stratification in non-dilated forms.
Arrhythmogenic cardiomyopathy (ACM) is a cardiac disorder characterized by structural alterations of the myocardium, which predisposes individuals to ventricular arrhythmias and increases the risk of sudden cardiac death. Initially described as arrhythmogenic right ventricular cardiomyopathy, the involvement of the left ventricle (LV) has been subsequently recognized, leading to the classification of various phenotypes under LV non-dilated cardiomyopathy. The clinical spectrum of ACM ranges from life-threatening ventricular arrhythmias to overt heart failure, sometimes presenting with acute myocarditis-like episodes and extracardiac symptoms, further contributing to the disease's heterogeneity. Diagnosis relies on imaging modalities, such as echocardiogram and cardiac magnetic resonance imaging, to detect areas of fibro-fatty replacement and/or non-ischemic ventricular scarring, integrated with genetic analysis. The 2023 European Society of Cardiology guidelines on Cardiomyopathies underscore the importance of a comprehensive diagnostic approach, combining imaging and genetics for arrhythmic risk stratification and comprehensive patient management. Growing evidence on genotype-phenotype correlation, along with the validation of specific predictive scores, is improving ACM clinical management and promoting personalized treatment tailored to individual and familial characteristics.
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Setti et al. (2025) conducted a review in Arrhythmogenic cardiomyopathy. Arrhythmogenic cardiomyopathy requires a comprehensive diagnostic approach combining imaging and genetics for arrhythmic risk stratification and personalized patient management.
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