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Implantation of Total Artificial Heart in Congenital Heart Disease
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Cardiac Denial and Expectations Associated With Depression in Adults With Congenital Heart Disease
Geoffrey D Huntley1, Kristen M Tecson2, Sandeep Sodhi3
1Department of Internal Medicine, The University of Texas Southwestern Medical Center, Dallas, Texas.
Insights
Depression is common in adults with congenital heart disease (ACHD). Cardiac denial and negative expectations are linked to increased depression symptoms, not clinical factors.
Area of Science:
- Cardiology
- Psychiatry
- Public Health
Background:
- Depression is prevalent in adults with congenital heart disease (ACHD).
- Managing depression risk factors may improve ACHD patient outcomes.
- Understanding depression's predictors in ACHD is crucial for targeted interventions.
Purpose of the Study:
- To identify clinical and psychosocial variables associated with depression in ACHD patients.
- To determine the predictive power of these variables on depression status.
- To inform strategies for mitigating depression in this vulnerable population.
Main Methods:
- A cross-sectional study of 78 ACHD patients was conducted.
- Retrospective clinical data and self-assessed psychosocial functioning were analyzed.
- A stepwise multivariate model identified key predictors of depression.
Main Results:
- The prevalence of depression in the ACHD sample was 26%.
- The developed model explained approximately 67% of the variability in depression scores.
- Cardiac Denial of Impact Scale, Barriers to Care (expectations), and Rand 36-Item domains (energy, social) were significant predictors; clinical variables were not.
Conclusions:
- Psychosocial factors, specifically cardiac denial and negative healthcare expectations, are strongly associated with depression in ACHD.
- Clinical variables did not predict depression in this cohort.
- Interventions addressing psychological and social aspects may be key to managing depression in ACHD.
Abstract:
Depression in adults with congenital heart disease is highly prevalent and strongly associated with adverse prognosis. Better management of risk factors for depression may improve clinical outcomes in this population. We conducted a single-site, cross-sectional study of 78 adults with congenital heart disease followed at Washington University School of Medicine. Data considered in the analyses included retrospectively obtained clinical information and patients' self-assessed psychosocial functioning and health status. To identify the clinical and psychosocial variables associated with depression, we built a stepwise multivariate model to measure the relative contribution of these variables to depression status. The prevalence of depression in our sample was 26%. Our model accounted for approximately 67% of the variability in depression scores. The final model consisted of the Cardiac Denial of Impact Scale, expectations domain of Barriers to Care, and the energy and social domains of the Rand 36-Item Short Form Health Survey. Clinical variables did not predict variability in depression scores. In conclusion, greater cardiac denial and negative expectations of the healthcare team were associated with increased depression symptoms in ACHD.
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