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Prognostic Prediction of Genotype vs Phenotype in Genetic Cardiomyopathies
Alessia Paldino1, Matteo Dal Ferro1, Davide Stolfo1
1Cardiovascular Department, Azienda Sanitaria Universitaria Giuliano Isontina (ASUGI), University of Trieste (a member of the European Reference Network for rare, low-prevalence, or complex diseases of the Heart [ERN GUARD-Heart]), Trieste, Italy.
Insights
Genotype, not just phenotype, is crucial for predicting outcomes in cardiomyopathies (CMPs). Genetic classification offers higher precision for risk stratification in inherited CMPs with positive genetic testing.
Area of Science:
- Cardiology
- Genetics
- Molecular Biology
Background:
- Diverse genetic backgrounds cause varied cardiomyopathy (CMP) phenotypes.
- Previous studies often analyzed single phenotypes, limiting understanding of genotype-phenotype prognostic features.
- Diagnostic and prognostic implications of CMP genotypes across different phenotypic expressions are poorly understood.
Purpose of the Study:
- To compare the predictive accuracy of genotype versus phenotype for patient outcomes in cardiomyopathies.
- To analyze differences in outcome prediction when stratifying patients by phenotype at presentation versus by genotype.
- To enhance risk stratification for patients with cardiomyopathies and positive genetic testing.
Main Methods:
- Examined dilated cardiomyopathy (DCM), arrhythmogenic right ventricular cardiomyopathy, and other CMP variants.
- Included 281 patients with pathogenic or likely pathogenic variants (80% DCM).
- Assessed outcomes: all-cause mortality/heart transplant, sudden cardiac death/major ventricular arrhythmias, and heart failure death/transplant/LVAD.
Main Results:
- Sudden cardiac death/major ventricular arrhythmias were more frequent in non-DCM phenotypes and carriers of DSP, PKP2, LMNA, and FLNC variants.
- Genotype-based classification, unlike phenotype-based, predicted sudden cardiac death/major ventricular arrhythmias after age/sex adjustment.
- LMNA variants showed the poorest outcomes for mortality/transplant and heart failure death/transplant/LVAD.
Conclusions:
- Genotypes are linked to significant phenotypic heterogeneity in genetic cardiomyopathies.
- Genotypic classification demonstrated superior precision in predicting patient outcomes compared to phenotypic classification.
- Findings improve understanding of inherited CMPs and aid risk stratification in genetically tested patients.
Background:
Diverse genetic backgrounds often lead to phenotypic heterogeneity in cardiomyopathies (CMPs). Previous genotype-phenotype studies have primarily focused on the analysis of a single phenotype, and the diagnostic and prognostic features of the CMP genotype across different phenotypic expressions remain poorly understood.
Objectives:
We sought to define differences in outcome prediction when stratifying patients based on phenotype at presentation compared with genotype in a large cohort of patients with CMPs and positive genetic testing.
Methods:
Dilated cardiomyopathy (DCM), arrhythmogenic right ventricular cardiomyopathy, left-dominant arrhythmogenic cardiomyopathy, and biventricular arrhythmogenic cardiomyopathy were examined in this study. A total of 281 patients (80% DCM) with pathogenic or likely pathogenic variants were included. The primary and secondary outcomes were: 1) all-cause mortality (D)/heart transplant (HT); 2) sudden cardiac death/major ventricular arrhythmias (SCD/MVA); and 3) heart failure-related death (DHF)/HT/left ventricular assist device implantation (LVAD).
Results:
Survival analysis revealed that SCD/MVA events 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, genotype-based classification, but not phenotype-based classification, was predictive of SCD/MVA. LMNA showed the worst trends in terms of D/HT and DHF/HT/LVAD.
Conclusions:
Genotypes were associated with significant phenotypic heterogeneity in genetic cardiomyopathies. Nevertheless, in our study, genotypic-based classification showed higher precision in predicting the outcome of patients with CMP than phenotype-based classification. These findings add to our current understanding of inherited CMPs and contribute to the risk stratification of patients with positive genetic testing.
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