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Depressive symptoms and survival of patients with coronary artery disease
J C Barefoot1, B H Brummett, M J Helms
1Behavioral Medicine Research Center, Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, North Carolina 27710, USA. foot@acpub.duke.edu
Insights
High levels of depressive symptoms, particularly negative affect and hopelessness, significantly predict mortality risk in patients with coronary disease. These factors are especially critical for younger individuals, independent of disease severity.
Area of Science:
- Cardiology
- Psychiatry
- Public Health
Background:
- Elevated depressive symptoms are linked to increased mortality in coronary heart disease patients.
- Understanding the differential impact of specific depressive symptom clusters is crucial for risk stratification.
Purpose of the Study:
- To investigate the relative effectiveness of distinct depressive symptom groups in predicting survival among coronary heart disease patients.
- To examine the independent predictive value of hopelessness and negative affect on mortality.
Main Methods:
- 1250 coronary heart disease patients completed depression questionnaires (Zung Self-Rating Depression Scale).
- Factor analysis categorized symptoms into Well-Being, Negative Affect, Somatic, and Appetite.
- Mortality follow-up for cardiac disease occurred annually for up to 19.4 years.
Main Results:
- Well-Being, Negative Affect, and Somatic symptoms significantly predicted survival.
- Negative Affect demonstrated a stronger association with mortality in younger patients.
- Hopelessness independently predicted survival, with a relative risk of 1.5.
Conclusions:
- Depressive affect and hopelessness are key predictors of survival in coronary heart disease patients.
- These psychological factors are independent of disease severity and somatic symptoms.
- The impact of depressive symptoms on survival may be more pronounced in younger individuals.
Objective:
Multiple studies have shown that high levels of depressive symptoms increase the mortality risk of patients with established coronary disease. This investigation divided depressive symptoms into groups to assess their relative effectiveness in predicting survival.
Methods:
Questionnaires about the presence of depressive symptoms were administered to 1250 patients with significant coronary disease while they were hospitalized for diagnostic coronary angiography. Follow-up for mortality due to cardiac disease was conducted annually for up to 19.4 years. Factor analysis was used to divide items on the Zung Self-Rating Depression Scale into four groups: Well-Being, Negative Affect, Somatic, and Appetite. In addition, responses to a single item regarding feelings of hopelessness were available for 920 patients.
Results:
Well-Being and Somatic symptoms significantly predicted survival (p < or = .01). Negative Affect items were also related to survival (p = .0001) and interacted with age. A 2-SD difference in the Negative Affect term was associated with a relative risk of 1.29 for patients >50 years old and 1.70 for younger ones. Only Negative Affect remained significant in a model with the other symptom groups. Hopelessness also predicted survival with a relative risk of 1.5. Both the Hopelessness and Negative Affect items remained as independent predictors in the same model. All models controlled for severity of disease and treatment. With one exception (income and Hopelessness), results were essentially unchanged by additional controls for age, gender, and income.
Conclusions:
Depressive symptoms differentially predicted survival, with depressive affect and hopelessness being particularly important. These effects were independent of disease severity and somatic symptoms and may be especially important in younger patients.
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