Key result
Genetically predicted ADHD (OR 1.12), autism (OR 1.29), depression (OR 1.15), and schizophrenia (OR 1.04) increased heart failure risk, while bipolar disorder (OR 0.89) reduced the risk.
Why the study?
Substantial evidence suggests an association between psychiatric disorders and chronic heart failure, but further investigation was needed to confirm whether this relationship is causal.
Does genetic liability to psychiatric disorders increase the risk of chronic heart failure in individuals of European ancestry?
Observational (n=977,323)
Mendelian randomization
Does genetic liability to psychiatric disorders increase the risk of chronic heart failure in individuals of European ancestry?
Odds Ratio: 1.12 (95% CI 1.04–1.2)
p-value: p=0.001
Genetic liability to ADHD, ASD, schizophrenia, and major depression is causally associated with an increased risk of heart failure, suggesting that heart failure prevention strategies should incorporate mental health considerations.
May support psychiatric risk assessment in heart failure prevention; leaves open whether treating these disorders reduces incidence.
Background: Substantial evidence suggests an association between psychiatric disorders and chronic heart failure. However, further investigation is needed to confirm the causal relationship between these psychiatric disorders and chronic heart failure. To address this, we evaluated the potential effects of five psychiatric disorders on chronic heart failure using two-sample Mendelian Randomization (MR). Methods: We selected single nucleotide polymorphisms (SNPs) associated with chronic heart failure and five psychiatric disorders (Attention-Deficit Hyperactivity Disorder (ADHD), Autism Spectrum Disorder (ASD), Major Depression, Bipolar Disorder and Schizophrenia (SCZ)). Univariable (UVMR) and multivariable two-sample Mendelian Randomization (MVMR) were employed to assess causality between these conditions. Ever smoked and alcohol consumption were controlled for mediating effects in the multivariable MR. The inverse variance weighting (IVW) and Wald ratio estimator methods served as the primary analytical methods for estimating potential causal effects. MR-Egger and weighted median analyses were also conducted to validate the results. Sensitivity analyses included the funnel plot, leave-one-out, and MR-Egger intercept tests. Additionally, potential mediators were investigated through risk factor analyses. Results: = 0.024). Several risk factors for heart failure are implicated in the above cause-and-effect relationship, including ever smoked and alcohol consumption. Conclusion: Our study demonstrated ADHD, ASD, SCZ and major depression may have a causal relationship with an increased risk of heart failure. In contrast, bipolar disorder was associated with a reduced risk of heart failure, which could potentially be mediated by ever smoked and alcohol consumption. Therefore, prevention strategies for heart failure should also incorporate mental health considerations, and vice versa.
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Chen et al. (2024) conducted an observational in Chronic heart failure (n=977,323). Genetic liability to ADHD vs. Lower genetic liability to ADHD was evaluated on Chronic heart failure (OR 1.12, 95% CI 1.04-1.20, p=0.001). Genetically predicted ADHD (OR 1.12), autism (OR 1.29), depression (OR 1.15), and schizophrenia (OR 1.04) increased heart failure risk, while bipolar disorder (OR 0.89) reduced the risk.
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