Environmental Risk Factors Influence the Natural History of Familial Dilated Cardiomyopathy
Peters, S.; Wright, L.; Yao, J.; McCall, L.; Thompson, T.; Thompson, B.; Johnson, R.; Huynh, Q.; Santiago, C.; Trainer, A.; Perrin, M.; James, P.; Zentner, D.; Kalman, J. M.; Marwick, T. H.; Fatkin, D.
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BackgroundFamilial dilated cardiomyopathy (DCM) is characterized by marked variability in phenotypic penetrance. The extent to which this is determined by patient-specific environmental factors is unknown. MethodsA retrospective longitudinal cohort study was performed in families with DCM-causing genetic variants. Environmental factors were classified into two subsets based on evidence for a causal link to depressed myocardial contractility, termed (1) DCM-promoting factors and (2) heart failure (HF) comorbidities. These factors were correlated with DCM diagnosis, disease trajectory, and adverse events. Results105 probands and family members were recruited: 51 genotype-positive, phenotype-positive (G+P+), 24 genotype-positive, phenotype-negative (G+P-), and 30 genotype-negative, phenotype-negative (G-P-). Baseline characteristics were similar between the 3 genotype groups. DCM-promoting environmental factors (eg. alcohol excess) were enriched in G+P+ individuals compared to G+P-(P<0.001) and G-P-(P=0.003) and were significantly associated with age at DCM onset (HR 2.01, P=0.014). HF comorbidities (eg. Diabetes) had a similar prevalence in G+P+ and G-P-but were significantly reduced in the G+P-group. Fluctuations in left ventricular ejection fraction during follow-up were linked to changes in environmental factors in 35/45 (78%) of instances: 32 (91%) of these were DCM-promoting factors. HF comorbidities, but not DCM-promoting factors, were associated with adverse events in G+ individuals (OR 4.9, P=0.004). ConclusionWe identified distinct subsets of environmental factors that affect DCM penetrance and adverse outcomes respectively. Our data highlight DCM-promoting environmental factors as key determinants of penetrance and disease trajectory. Collectively, these findings provide a new framework for risk factor assessment in familial DCM and have important implications for clinical management.
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