Why the study?
Does a novel prediction model accurately predict ventricular arrhythmias across both classical and non-classical arrhythmogenic cardiomyopathy phenotypes?
Does a novel prediction model accurately predict ventricular arrhythmias across both classical and non-classical arrhythmogenic cardiomyopathy phenotypes?
A novel arrhythmic risk prediction model is effective for classical arrhythmogenic cardiomyopathy but underestimates risk in non-classical phenotypes, highlighting the need for subtype-specific risk stratification.
May underestimate VA risk in non-classical ACM; hypothesis-generating for phenotype-specific model refinement.
Non-classical ACM forms appear more prone to VAs than classical forms. The novel prediction model effectively predicted arrhythmic risk in the classical R-ACM cohort, but seemed to underestimate it in non-classical forms.
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Casella et al. (2019) studied this question.
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