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Arrhythmia and cardiomyopathy risk in Taiwan with complementary biobank evidence on thyroid genetic susceptibility:
Yi-Chang Lin1,2, Yao-Ching Huang3,4,5, Ya-Ting Yang6
1Division of Cardiovascular Surgery, Department of Surgery, Tri-Service General Hospital, National Defense Medical University , Taipei, Taiwan.
Insights
Arrhythmia increases cardiomyopathy risk, while thyroid genetic susceptibility, influenced by lifestyle, contributes to thyroid dysfunction. Integrated risk assessment may identify at-risk individuals.
Area of Science:
- Cardiovascular Medicine
- Endocrinology
- Genetics
Background:
- Arrhythmia-induced cardiomyopathy (AiCM) is a reversible cause of ventricular dysfunction, but not all patients with arrhythmia develop it.
- Genetic susceptibility and endocrine factors, particularly thyroid dysfunction, may influence individual susceptibility to arrhythmia-related myocardial outcomes.
Purpose of the Study:
- To investigate the association between arrhythmia and incident cardiomyopathy.
- To explore the role of thyroid dysfunction, genetic susceptibility, and lifestyle factors in determining myocardial outcomes.
Main Methods:
- A dual-cohort study using the National Health Insurance Research Database (NHIRD) and Taiwan Biobank (TWB).
- Cox proportional hazards models analyzed arrhythmia and cardiomyopathy risk in NHIRD.
- Multivariable regression and interaction models assessed thyroid dysfunction determinants using genome-wide data, thyroid-stimulating hormone (TSH), polygenic risk scores (PRS), lifestyle, and metabolic factors in TWB.
Main Results:
- Arrhythmia significantly increased cardiomyopathy risk (aHR 2.49) in NHIRD, with atrial fibrillation being most strongly associated.
- Higher thyroid PRS strongly predicted thyroid dysfunction (aOR 6.64) in TWB.
- Genetic susceptibility to thyroid dysfunction was modified by diabetes, hyperlipidemia, and diet; genome-wide analysis revealed loci for TSH regulation.
Conclusions:
- Arrhythmia is linked to increased cardiomyopathy risk, and thyroid genetic susceptibility is associated with thyroid dysfunction, influenced by metabolic and lifestyle factors.
- Findings support an endocrine-cardiac interaction framework.
- Integrated clinical and genetic risk assessment can identify individuals needing closer monitoring.
Background:
Arrhythmia-induced cardiomyopathy (AiCM) is a potentially reversible cause of ventricular dysfunction; however, only a subset of patients with arrhythmia develop cardiomyopathy. Emerging evidence suggests that endocrine factors, particularly thyroid dysfunction with genetic susceptibility, may contribute to inter-individual variability in arrhythmia-related myocardial outcomes.
Methods:
We performed a dual-cohort population-based study using the National Health Insurance Research Database (NHIRD, 2000-2015) and the Taiwan Biobank (TWB). In NHIRD, we examined the association between newly diagnosed arrhythmia and incident cardiomyopathy using Cox proportional hazards models. In TWB, genome-wide data, thyroid-stimulating hormone (TSH), polygenic risk scores (PRSs), lifestyle factors, and metabolic comorbidities were analyzed using multivariable regression and interaction models to assess determinants of thyroid dysfunction.
Results:
In the NHIRD cohort, arrhythmia was associated with a significantly increased risk of incident cardiomyopathy (adjusted hazard ratio (aHR): 2.49, 95% CI: 1.94-2.96), with atrial fibrillation showing the strongest association among arrhythmia subtypes. In the TWB cohort, a higher thyroid polygenic risk score was strongly associated with thyroid dysfunction (adjusted odds ratio (aOR): 6.64, 95% CI: 5.86-7.52). The association between genetic susceptibility and thyroid dysfunction was further modified by metabolic and lifestyle factors, including diabetes, hyperlipidemia, and dietary patterns. Genome-wide analysis identified multiple loci associated with thyroid-stimulating hormone regulation, consistent with a polygenic architecture of thyroid endocrine traits.
Conclusion:
Arrhythmia was associated with an increased risk of cardiomyopathy in a nationwide cohort, while thyroid genetic susceptibility was strongly associated with thyroid dysfunction in a biobank cohort and modified by metabolic and lifestyle factors. These findings provide complementary population-level evidence of parallel cardiovascular and endocrine-genetic associations. Because the two cohorts were not individually linked, causal inference cannot be established. The results support a systems-level framework of endocrine-cardiac interaction and suggest that integrated clinical and genetic risk assessment may help identify individuals who warrant closer monitoring.
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