Type D Personality as a Risk Factor for Adverse Outcome in Patients With Cardiovascular Disease: An Individual Patient-Data Meta-analysis.

OBJECTIVE: Type D personality, a joint tendency toward negative affectivity and social inhibition, has been linked to adverse events in patients with heart disease, although with inconsistent findings. Here, we apply an individual patient-data meta-analysis to data from 19 prospective cohort studies ( N = 11,151) to investigate the prediction of adverse outcomes by type D personality in patients with acquired cardiovascular disease. METHOD: For each outcome (all-cause mortality, cardiac mortality, myocardial infarction, coronary artery bypass grafting, percutaneous coronary intervention, major adverse cardiac event, any adverse event), we estimated type D's prognostic influence and the moderation by age, sex, and disease type. RESULTS: In patients with cardiovascular disease, evidence for a type D effect in terms of the Bayes factor (BF) was strong for major adverse cardiac event (BF = 42.5; odds ratio [OR] = 1.14) and any adverse event (BF = 129.4; OR = 1.15). Evidence for the null hypothesis was found for all-cause mortality (BF = 45.9; OR = 1.03), cardiac mortality (BF = 23.7; OR = 0.99), and myocardial infarction (BF = 16.9; OR = 1.12), suggesting that type D had no effect on these outcomes. This evidence was similar in the subset of patients with coronary artery disease (CAD), but inconclusive for patients with heart failure (HF). Positive effects were found for negative affectivity on cardiac and all-cause mortality, with the latter being more pronounced in male than female patients. CONCLUSION: Across 19 prospective cohort studies, type D predicts adverse events in patients with CAD, whereas evidence in patients with HF was inconclusive. In both patients with CAD and HF, we found evidence for a null effect of type D on cardiac and all-cause mortality.

Association between anxiety and mortality in patients with congestive heart failure after implantation of cardiac electronic devices.

OBJECTIVE: Several studies suggest that psychological factors including anxiety are associated with negative outcomes and in particular higher mortality rates among heart failure (HF) patients. However, the impact of anxiety on mortality in patients with implanted cardiac devices has not been fully appreciated. The aim of this study was to assess the association between state (SA) and trait (TA) anxiety and all-cause mortality in patients with HF after cardiac electronic devices implantation. METHODS: The monocentric prospective study enrolled 265 patients (215 men and 50 women) aged 23 to 84 years (mean age 57.1 ± 10.0), who received cardiac resynchronization therapy or cardioverter-defibrillator implantation. Mean duration of prospective follow-up was 62.3 ± 36.6 months. State-Trait Anxiety Inventory (STAI) was used to measure anxiety symptoms. Cox proportional hazards multivariate regression model was used to calculate hazard ratio (HR) of all-cause mortality with 95% confidence interval (95% CI). RESULTS: During the prospective follow-up period, 45 (17.0%) patients died due to all causes. According to quantitative analysis, HR for death used for SA scale was 1.04 (95% CI 1.00-1.07, p = 0.07) and for the TA scale 1.02 (95% CI 0.99-1.05, p = 0.21). Analysis of categorical indicators found statistically significant higher HR of mortality in patients with severe SA (2.35, 95% CI 1.17-4.71, p = 0.02), and TA (2.02, 95% CI 1.04-3.94, p = 0.04). CONCLUSION: High levels of SA and TA was significantly and independently associated with a high risk of all-cause mortality in patients, who underwent implantation of cardiac electronic devices.

Type D personality in Russian patients with cardiovascular disease: validity of the Russian DS14 (DS14-RU).

BACKGROUND: Type D personality is associated with unfavorable outcomes in patients with cardiovascular diseases (CVD). However, there is no valid Type D Scale in Russian language. The purpose of the study was to examine the factor structure of a new Russian version of 14-item Type D Scale (DS14-RU), and to evaluate the reliability and construct validity of the DS14-RU in clinical research. METHODS: The study included 929 participants, 496 (53.4%) of which had coronary artery disease, 195 (21.0%) congestive heart failure, 84 (9.0%) arterial hypertension and 154 (16.6%) were relatively healthy volunteers. The mean age was 57.5 years, 565 (60.8%) participants were males. The respondents filled out an extended Russian version of the Type D scale and new DS14-RU, as well as the Hospital Anxiety and Depression Scale, Multidimensional Scale of Perceived Social Support, Reeder Stress Inventory, and State-Trait Personality Inventory. RESULTS: The new Russian version of DS14-RU was internally consistent with Cronbach's α = .80 for both the negative affectivity and social inhibition subscales. The prevalence of Type D personality, as measured with the DS14-RU, was 21.4% among patients with CVD, and 20.0% among relatively healthy participants. The mean scores for anxiety, depression, psychosocial stress and anger were significantly higher in patients with Type D personality and they had significantly lower levels of social support and curiosity. CONCLUSIONS: The new DS14-RU is consistent with the original DS14 in terms of reliability, factor structure and construct validity. The DS14-RU can be used for the reliable assessment of Type D in Russian-speaking respondents.

Social support for patients with coronary artery disease after percutaneous coronary intervention.

BACKGROUND: To assess how social support relates to parameters of patients with coronary artery disease (CAD) after percutaneous coronary intervention (PCI), and how social support affects patient's prognosis within 1 year after surgery. METHODS: The study included 739 male and 236 female patients (975) who underwent PCI. To determine level of social support, the Multidimensional Scale of Perceived Social Support was used. The mean duration of a prospective follow-up was 12.0 ±â€¯1.7 months. The Cox multivariate regression proportional hazard model was used to estimate the hazard ratio (HR) of death from all causes and cardiovascular disease (CVD). RESULTS: A low level of social support in 5.7% of patients was observed, while 30.5% had a moderate level and 63.8% had a high level. Patients with low and moderate levels of social support were older than those with high level. Among patients with high levels of social support, more were male compared to patients with moderate level. During observation, 24 patients died from all causes (2.5%), while 21 (2.2%) died from CVD. In the multivariate Cox regression model the HR of social support for all causes of death was 0.97 (95% confidence interval, [CI], 0.94-0.99, p = 0.007), while death from CVD was 0.97 (95% CI, 0.94-1.00, p = 0.048). For patients with low level of social support, the HR for death from all causes was 4.52 (95% CI, 1.37-14.95, p = 0.013), while death from CVD was 3.66 (95% CI, 0.94-14.25, p = 0.061). CONCLUSION: Social support level was associated with age and gender, and significantly and independently affected CAD patients' risk of death after PCI.

Depression and all-cause mortality in patients with congestive heart failure and an implanted cardiac device.

OBJECTIVE: The purpose of this study was to assess the association between depression and all-cause mortality in patients with congestive heart failure (CHF) and an implanted cardiac device. METHODS: The study enrolled 260 patients (mean age 56.8±10.0 years; 83.1% male) with CHF and an implanted cardiac device (156 patients with a resynchronization therapy cardiac device, 104 patients with an implantable cardioverter defibrillator). The mean duration of follow-up was 48.6±32.2 months. The Beck Depression Inventory was used to measure depressive symptoms. Depression was considered absent for a score between 0 and 9, mild to moderate for a score between 10 and 18, and severe if the score was 19 or greater. The Cox proportional hazards regression model was used to estimate hazard ratios (HR) with a 95% confidence interval (CI) for the impact of depression on all-cause mortality. The HR was calculated after adjustment for the following confounders: age, gender, smoking status, hypertension, diabetes mellitus, body mass index, hypercholesterolemia, left ventricular ejection fraction, number of hemodynamically significant lesions of the coronary arteries, and the type of implanted cardiac device. RESULTS: During the follow-up period, 37 patients died (14.2%). The adjusted HR of depression for all-cause mortality was 1.05, with a 95% CI of 1.01-1.09. Patients without depression were accepted as a reference group with HR=1.0 for analysis of the categorical indicator. The HR was 1.32, with a 95% CI of 0.57-3.03, in patients with mild depressive symptoms, and the HR was 3.18 with a 95% CI of 1.31-7.73 in patients with severe depressive symptoms. CONCLUSION: Increased depressive symptoms were independently associated with all-cause mortality in patients with CHF and an implanted cardiac device.