Abstract
Abstract Background In cardiomyopathies (CMPs), the diverse genetic background often leads to phenotypic heterogeneity. Currently, genotype-phenotype studies are founded on clinical phenotype-based classification of CMPs, contributing possible biases due to the exclusion of specific and unascertained phenotypic expressions of CMP genes. Purpose We sought to define differences in outcome when stratifying patients based on phenotype at presentation compared with genotype in a large cohort of CMP patients with positive genetic testing. Methods In this study, we included the whole spectrum of non-hypertrophic CMP phenotypes, genetically determined: dilated cardiomyopathy (DCM), arrhythmogenic right ventricular cardiomyopathy (ARVC), left ventricular arrhythmogenic cardiomyopathy (ALVC) and biventricular ARVC (BiV). The primary and secondary outcomes were: 1) all-cause mortality/heart transplant (D/HT); 2) heart failure-related death/heart transplant/left ventricular assist device implantation (DHF/HT/VAD); and 3) sudden cardiac death/life-threatening ventricular arrhythmias (SCD/MVA). Results Two hundred and eighty-one patients (80% DCM) carrying pathogenic or likely pathogenic variants were included in this study. The phenotype was classified as DCM, ARVC, ALVC and BiV according to current consensus criteria. The median follow-up was 188 months. Variants in titin (TTN; 34%) and sarcomeric genes (SARC; 22%) were the most frequent genotypes and almost invariably associated with a DCM phenotype. DSP, LMNA and FLNC displayed more heterogeneous phenotypic presentations, including DCM, ARVC, ALVC, BiV. At survival analysis, the arrhythmic outcome occurred more frequently in patients without a DCM phenotype and in carriers of DSP, PKP2, LMNA and FLNC variants. However, after adjustment for age and sex, the genotype-based classification but not the phenotype-based classification was predictive of the arrhythmic outcome. LMNA showed the worst trend in term of D/HT and DHF/HT/LVAD. Conclusions In genetic cardiomyopathies, genotype is associated with significant phenotypic heterogeneity. Nevertheless, in our study, the genotypic-based classification showed higher precision in predicting CMP patients' outcome in respect to the phenotype-based classification. These findings add to the current understanding of inherited CMPs and may implement the risk stratification of patients with positive genetic testing. Funding Acknowledgement Type of funding sources: None.
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