Depression and anxiety as predictors of 2-year cardiac events in patients with stable coronary artery disease
ABSTRACT Anxiety and depression are associated with mechanisms that promote atherosclerosis. Most recent studies of emotional disturbances in coronary artery disease (CAD) have focused on depression only.
To assess the 2-year cardiac prognostic importance of the DSM-IV-based diagnoses of major depressive disorder (MDD) and generalized anxiety disorder (GAD) and self-report measures of anxiety and depression and their co-occurrence.
Two-year follow-up of 804 patients with stable CAD (649 men) assessed using the Beck Depression Inventory II (BDI-II), the anxiety subscale of the Hospital Anxiety and Depression Scale (HADS-A), and the Structured Clinical Interview for DSM-IV (masked to self-reports) 2 months after acute coronary syndromes.
Major adverse cardiac events (MACEs) (cardiac death, myocardial infarction, cardiac arrest, or nonelective revascularization) in the 2 years after baseline.
Of the 804 patients, 57 (7.1%) met the criteria for MDD and 43 (5.3%) for GAD (11 [1.4%] had comorbidity); 220 (27.4%) had elevated BDI-II scores (> or = 14), and 333 (41.4%) had elevated HADS-A scores (> or = 8), with 21.1% overlap. MDD (odds ratio [OR], 2.85; 95% confidence interval [CI], 1.62-5.01), GAD (OR, 2.09; 95% CI, 1.08-4.05), elevated BDI-II (OR, 1.75; 95% CI, 1.21-2.54), elevated HADS-A score (OR, 1.67; 95% CI, 1.18-2.37), and continuous standardized scores on the BDI-II (OR, 1.34; 95% CI, 1.11-1.62) and the HADS-A (OR, 1.38; 95% CI, 1.16-1.63) all predicted MACEs. After covariate control, only the P value associated with the continuous BDI-II score increased to above .10. Most of the risk associated with elevated symptoms was in patients with psychiatric disorders. However, patients with comorbid MDD and GAD or elevated anxiety and depression symptoms were not at greater MACE risk than those with only 1 factor.
Anxiety and depression predict greater MACE risk in patients with stable CAD, supporting future research into common genetic, environmental, and pathophysiologic pathways and treatments.
SourceAvailable from: Annelieke M Roest[Show abstract] [Hide abstract]
ABSTRACT: Background Although a number of risk factors are known to predict mortality within the first years after myocardial infarction, little is known about interactions between risk factors, whereas these could contribute to accurate differentiation of patients with higher and lower risk for mortality. This study explored the effect of interactions of risk factors on all-cause mortality in patients with myocardial infarction based on individual patient data meta-analysis.Methods Prospective data for 10,512 patients hospitalized for myocardial infarction were derived from 16 observational studies (MINDMAPS). Baseline measures included a broad set of risk factors for mortality such as age, sex, heart failure, diabetes, depression, and smoking. All two-way and three-way interactions of these risk factors were included in Lasso regression analyses to predict time-to-event related all-cause mortality. The effect of selected interactions was investigated with multilevel Cox regression models.ResultsLasso regression selected five two-way interactions, of which four included sex. The addition of these interactions to multilevel Cox models suggested differential risk patterns for males and females. Younger women (age <50) had a higher risk for all-cause mortality than men in the same age group (HR 0.7 vs. 0.4), while men had a higher risk than women if they had depression (HR 1.4 vs. 1.1) or a low left ventricular ejection fraction (HR 1.7 vs. 1.3). Predictive accuracy of the Cox model was better for men than for women (area under the curves: 0.770 vs. 0.754).Conclusions Interactions of well-known risk factors for all-cause mortality after myocardial infarction suggested important sex differences. This study gives rise to a further exploration of prediction models to improve risk assessment for men and women after myocardial infarction.BMC Medicine 12/2014; 12(1):242. DOI:10.1186/PREACCEPT-1708900131424681 · 7.28 Impact Factor
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ABSTRACT: Exercise has been shown to reduce symptoms of anxiety, but few studies have studied exercise in individuals preselected because of their high anxiety. The objective of this study is to review and critically evaluate studies of exercise training in adults with either high levels of anxiety or an anxiety disorder. We conducted a systematic review of randomized clinical trials (RCTs) in which anxious adults were randomized to an exercise or nonexercise control condition. Data were extracted concerning anxiety outcomes and study design. Existing meta-analyses were also reviewed. Evidence from 12 RCTs suggested benefits of exercise, for select groups, similar to established treatments and greater than placebo. However, most studies had significant methodological limitations, including small sample sizes, concurrent therapies, and inadequate assessment of adherence and fitness levels. Exercise may be a useful treatment for anxiety, but lack of data from rigorous, methodologically sound RCTs precludes any definitive conclusions about its effectiveness.Annals of Behavioral Medicine 02/2015; DOI:10.1007/s12160-014-9685-9 · 4.20 Impact Factor
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ABSTRACT: The present study assessed linguistic mediators on the effects of expressive writing on health-related quality of life (HRQOL), depression and anxiety following myocardial infarction (MI). One hundred and twenty-one cardiac patients were randomised (expressive writing = 61; control = 60), 98 (expressive writing = 47; control = 51) provided pre- and post-data, with 89 (expressive writing = 43; control = 46) completing the three-month follow-up. The expressive writing group wrote (20 mins/day for three consecutive days) about their thoughts and feelings regarding their MI, and the control group wrote (20 mins/day for three consecutive days) about daily events that occurred during the year prior to the MI. The outcome measures of depression, anxiety and HRQOL were completed pre-randomisation, post-intervention and three months post-intervention; the mediating variables assessed were changes in (a) positive emotion words, (b) negative emotion words and (c) cognitive-processing words. Three months post-intervention, the expressive writing group had significantly higher HRQOL. The positive effects of expressive writing were significantly associated with increases in both positive emotion words and cognitive-processing words across the three days of expressive writing. Expressive writing is a beneficial intervention that may enhance HRQOL among cardiac patients.