Impact of depression at early and late phases following acute coronary syndrome on long-term cardiac outcomes

The moderating role of depressive symptoms in the association between heart rate variability and cognitive performance in cardiac patients

INTRODUCTION

Coronary heart disease (CHD) is strongly associated with cognitive impairment, which is a core feature of depression, highly prevalent in patients with CHD. Interestingly, patients with CHD and individuals with depression display reduced heart rate variability (HRV), which proxies a complex network integrating autonomic and attentional systems. This study investigated the moderating role of depressive symptoms in the relation between reduced HRV and cognitive performance in patients with CHD.

METHOD

The sample included 274 patients with CHD (mean [standard deviation] age = 62 [9.5] years; 13 % women) admitted to cardiac rehabilitation units. Visual attention and task switching were assessed through the Trail Making Test (TMT). Depressive symptoms were assessed with the Beck Depression Inventory-II (BDI-II). Resting electrocardiographic recordings were collected to compute HRV indices.

RESULTS

Patients with more severe depressive symptoms displayed an inverse association between HRV and cognitive performance (TMT-A: b = -0.08, p = .022; TMTB: b = -0.07, p = .042), whereas patients with milder depressive symptoms showed no significant association (TMT-A: b = -0.00, p = .90; TMTB: b = -0.02, p = .44).

CONCLUSIONS

Depressive symptoms may strengthen the relation between reduced HRV and poorer cognitive performance in cardiac patients. The presence of depressive symptoms may signal the dysfunction of a network subserving autonomic and cognitive function.

Co-prevalence and incidence of myocardial infarction and/or stroke in patients with depression and/or anxiety: A systematic review and meta-analysis

OBJECTIVE

Co-prevalence and incidence of depression and/or anxiety with stroke and myocardial infarction are currently unclear. This paper explores the relationships, as these are important comorbidities affecting patient outcomes.

METHODS

A systematic search across five databases (PubMed, Scopus, PsycINFO, Embase, Cochrane) was conducted for observational studies reporting co-prevalence of depression or anxiety with stroke or myocardial infarction. We used random-effects models in all meta-analyses and evaluated heterogeneity using I².

RESULTS

This analysis included 48 studies with a total of 57,342 patients. In patients with depression, the pooled prevalence of stroke was 5.9% (95% CI = 5.53-6.37). In patients with myocardial infarction, the pooled prevalence of anxiety and depression was 9.1% (95% CI = 7.07-11.40, I² = 85.6%) and 25.9% (95% CI = 18.46-34.12, I² = 99.1%), respectively, and the pooled cumulative incidence of depression at one year was 20.5% (95% CI = 18.36-22.79). The pooled prevalence of anxiety and depression in patients with stroke was 13.5% (95% CI = 7.67-22.66, I² = 96.9%) and 23.0% (95% CI = 17.93-28.99, I² = 96.7%), respectively. The pooled cumulative incidences of depression at two weeks, three months, six months, and one year, were 29.1% (95% CI = 26.60-31.81), 17.0% (95% CI = 10.74-25.92, I² = 98.0%), 7.4% (95% CI = 6.52-8.49), and 9.1% (95% CI = 3.71-20.79, I² = 99.8%), respectively.

CONCLUSIONS

This meta-analysis outlines the co-morbid burden between depression/anxiety and stroke/myocardial infarction. Future research should be done to evaluate the effectiveness of screening anxiety/depression in myocardial infarction/stroke.

Smoking cessation and depression after acute coronary syndrome

Smoking and depression are risk factors for acute coronary syndrome (ACS) that often co-exist. We investigated the evolution of depression according to smoking cessation one-year after ACS. Data from 1822 ACS patients of the Swiss multicenter SPUM-ACS cohort study were analyzed over a one-year follow-up. Participants were classified in three groups based on smoking status one-year post-ACS - continuous smokers, smokers who quit within the year, and non-smokers. Depression status at baseline and one-year was assessed with the Center for Epidemiologic Studies Depression scale (CES-D) and antidepressant drug use. A CES-D score ≥ 16 defined depression. A multivariate-adjusted logistic regression model was used to calculate odds ratios (OR) between groups. The study sample mean age was 62.4 years and females represented 20.8%. At baseline, 22.6% were depressed, 40.9% were smokers, and 47.5% of these quit smoking over the year post-ACS. In comparison to depressed continuous smokers, depressed smokers who quit had an adjusted OR 2.59 (95% confidence interval (CI) 1.27-5.25) of going below a CES-D score of 16 or not using antidepressants. New depression at one-year was found in 24.4% of non-depressed smokers who quit, and in 27.1% of non-depressed continuous smokers, with an adjusted OR 0.85 (95% CI 0.55-1.29) of moving to a CES-D score of ≥16 or using antidepressants. In conclusion, smokers with depression at time of ACS who quit smoking improved their depression more frequently compared to continuous smokers. The incidence of new depression among smokers who quit after ACS was similar compared to continuous smokers.

Anxiety and Depression After a Cardiac Event: Prevalence and Predictors

Introduction

Patients who are anxious or depressed after an acute cardiac event are at increased risk of a subsequent event and premature death. It is therefore important to identify these patients early in order to initiate supportive or even preventive measures. In the present study, we report on the prevalence of anxiety and depression during the first 12 months after an acute cardiac event, and the patient characteristics predictive of increased anxiety and depression risk in early and late convalescence.

Methods

We recruited a sample of 911 patients with acute myocardial infarction (AMI), acute coronary syndrome (ACS), and/or unstable angina (UA), and/or undergoing coronary artery bypass graft surgery (CABGS). Patients completed the Hospital Anxiety and Depression Scale (HADS) close to the time of their event, and again during early (2–4 months post-event) and late (6–12 months post-event) convalescence. Using HADS-A and HADS-D cut-offs of 8+, prevalence rates for anxiety, depression, and comorbid anxiety and depression were determined for each timepoint. Chi-square tests and odds ratios were used to identify baseline patient characteristics associated with increased anxiety and depression risk over 12 months.

Results

Anxiety rates were 43, 28, and 27% at the time of the event, early, and late convalescence. Depression rates were 22, 17, and 15%, respectively. Factors consistently associated with increased anxiety and depression risk were history of depression, financial strain, poor self-rated health, low socioeconomic status, younger age (<55 years), and smoking. Obesity, diabetes, and social isolation (living alone or being unpartnered) were identified as important albeit less significant risk factors. Neither sex nor event type were predictive of anxiety or depression.

Conclusion

This large patient sample provided the opportunity to identify rates of anxiety and depression during the 12 months after a cardiac event and key patient characteristics for increased risk. These risk factors are easily identifiable at the time of the event, and could be used to guide the targeting of support programs for patients at risk.