ABSTRACT
Many studies have demonstrated the prevalence of depression in patients with coronary artery disease (CAD), but few have examined this relation in those with chest pain who do not have obstructive CAD on angiography. The aim of this study was to compare the prevalence of depression amongst patients with chest pain in the presence or absence of obstructive CAD and a healthy control group without chest pain. This prospectively designed, observational cohort study used 2 independent data sets: (1) The Queen Elizabeth Hospital Coronary Angiogram Database (n = 1,144), consisting of 819 patients with obstructive CAD and 325 patients with nonobstructive CAD (NoCAD), all of whom had chest pain and (2) the North West Adelaide Health Study (NWAHS; n = 3,168), a population-based biomedical cohort, from which patients with chest pain were excluded. The presence of depression was determined by a previously validated method using the Short Form 36. The prevalence of depression differed among the 3 groups, with 63% in those with NoCAD, 53% in those with CAD, and only 24% in the healthy NWAHS cohort. Analysis of the angiography cohort revealed age, gender, antidepressant medication, previous myocardial infarction, previous airway disease, Short Form 36 physical summary score, Seattle Angina Questionnaire physical limitation score, and NoCAD on angiography to be independent predictors of depression. In conclusion, these findings highlight the importance of screening for depression in patients with NoCAD.
Subject(s)
Chest Pain/psychology , Coronary Artery Disease/psychology , Depressive Disorder/psychology , Adult , Age Factors , Aged , Case-Control Studies , Chest Pain/diagnostic imaging , Cohort Studies , Coronary Angiography , Coronary Artery Disease/diagnostic imaging , Coronary Disease/psychology , Female , Humans , Logistic Models , Male , Middle Aged , Multivariate Analysis , Prospective Studies , Risk Factors , Sex FactorsABSTRACT
OBJECTIVE: Symptoms of depression are highly prevalent and persistent following myocardial infarction (MI). Whether depression is a risk factor for long-term mortality following MI remains controversial. The present study aimed to determine whether depression during hospitalisation for acute MI (AMI) predicted 5-year all-cause or cardiac mortality. METHOD: This study utilised the Identifying Depression as a Comorbid Condition (IDACC) database of 337 hospitalised patients with AMI. Depressive symptoms were assessed using the Center for Epidemiologic Studies Depression scale (CES-D). Data were linked to a government administrative death registry to determine 5-year mortality. Survival data were analysed using Cox's proportional hazards model. RESULTS: The mean age during AMI hospitalisation was 59 years ± 12, 74% of patients were men and depression (CES-D ≥ 16) was present in 132 patients (39.3%). The 5-year all-cause mortality rate was 10.4% (35 deaths) and the cardiac mortality rate was 6.5% (22 deaths). When depression was defined as a dichotomous variable, moderate to severe depression (defined by CES-D ≥ 27) at the time of AMI was associated with all-cause mortality (hazard ratio 2.54, 95% confidence interval 1.03 to 6.28; p = 0.04) but not cardiac mortality. However, when depression was defined by three categories (no depression CES-D < 16, mild depression CES-D 16-26, moderate to severe depression CES-D ≥ 27), it was not found to predict mortality. In addition, perceived social support was a predictor of all-cause and cardiac mortality in AMI patients. CONCLUSIONS: Our results indicate that the relationship between mortality and depression severity is not linear and that the association only becomes evident when the severity reaches a threshold level of CES-D ≥ 27, consistent with major depression. Low power may have influenced the finding of a lack of association between depression and cardiac mortality.
