Psychological factors and cardiac repolarization instability during anger in implantable cardioverter defibrillator patients.

BACKGROUND: Evidence indicates that emotions such as anger are associated with increased incidence of sudden cardiac death, but the biological mechanisms remain unclear. We tested the hypothesis that, in patients with sudden death vulnerability, anger would be associated with arrhythmic vulnerability, indexed by cardiac repolarization instability. METHODS: Patients with coronary artery disease (CAD) and an implantable cardioverter defibrillator (ICD; n = 41) and healthy controls (n = 26) gave an anger-inducing speech (anger recall), rated their current (state) anger, and completed measures of trait (chronic) levels of Anger and Hostility. Repolarization instability was measured using QT Variability Index (QTVI) at resting baseline and during anger recall using continuous ECG. RESULTS: ICD patients had significantly higher QTVI at baseline and during anger recall compared with controls, indicating greater arrhythmic vulnerability overall. QTVI increased from baseline to anger recall to a similar extent in both groups. In ICD patients but not controls, during anger recall, self-rated anger was related to QTVI (r = .44, p = .007). Trait (chronic) Anger Expression (r = .26, p = .04), Anger Control (r = -.26, p = .04), and Hostility (r = .25, p = .05) were each associated with the change in QTVI from baseline to anger recall (ΔQTVI). Moderation analyses evaluated whether psychological trait associations with ΔQTVI were specific to the ICD group. Results indicated that Hostility scores predicted ΔQTVI from baseline to anger recall in ICD patients (ß = 0.07, p = .01), but not in controls. CONCLUSIONS: Anger increases repolarization lability, but in patients with CAD and arrhythmic vulnerability, chronic and acute anger interact to trigger cardiac repolarization lability associated with susceptibility to malignant arrhythmias.

High Concordance Between Mental Stress-Induced and Adenosine-Induced Myocardial Ischemia Assessed Using SPECT in Heart Failure Patients: Hemodynamic and Biomarker Correlates.

UNLABELLED: Mental stress can trigger myocardial ischemia, but the prevalence of mental stress-induced ischemia in congestive heart failure (CHF) patients is unknown. We characterized mental stress-induced and adenosine-induced changes in myocardial perfusion and neurohormonal activation in CHF patients with reduced left-ventricular function using SPECT to precisely quantify segment-level myocardial perfusion. METHODS: Thirty-four coronary artery disease patients (mean age±SD, 62±10 y) with CHF longer than 3 mo and ejection fraction less than 40% underwent both adenosine and mental stress myocardial perfusion SPECT on consecutive days. Mental stress consisted of anger recall (anger-provoking speech) followed by subtraction of serial sevens. The presence and extent of myocardial ischemia was quantified using the conventional 17-segment model. RESULTS: Sixty-eight percent of patients had 1 ischemic segment or more during mental stress and 81% during adenosine. On segment-by-segment analysis, perfusion with mental stress and adenosine were highly correlated. No significant differences were found between any 2 time points for B-type natriuretic peptide, tumor necrosis factor-α, IL-1b, troponin, vascular endothelin growth factor, IL-17a, matrix metallopeptidase-9, or C-reactive protein. However, endothelin-1 and IL-6 increased, and IL-10 decreased, between the stressor and 30 min after stress. Left-ventricular end diastolic dimension was 179±65 mL at rest and increased to 217±71 after mental stress and 229±86 after adenosine (P<0.01 for both). Resting end systolic volume was 129±60 mL at rest and increased to 158±66 after mental stress (P<0.05) and 171±87 after adenosine (P<0.07), with no significant differences between adenosine and mental stress. Ejection fraction was 30±12 at baseline, 29±11 with mental stress, and 28±10 with adenosine (P=not significant). CONCLUSION: There was high concordance between ischemic perfusion defects induced by adenosine and mental stress, suggesting that mental stress is equivalent to pharmacologic stress in eliciting clinically significant myocardial perfusion defects in CHF patients. Cardiac dilatation suggests clinically important changes with both conditions. Psychosocial stressors during daily life may contribute to the ischemic burden of CHF patients with coronary artery disease.

Inflammatory markers and negative mood symptoms following exercise withdrawal.

OBJECTIVE: Physical inactivity is associated with elevated inflammatory markers, but little is known about the time trajectories of reduced physical activity and inflammatory markers. Changes in inflammatory markers in response to withholding regular aerobic exercise were prospectively examined and correlated with increased negative mood symptoms and fatigue that accompany exercise withdrawal. METHODS: Participants with regular exercise habits (N=40, mean age of 31.3+/-7.5 years, 55% women) were randomized to aerobic exercise withdrawal or to continue regular exercise for 2 weeks. Protocol adherence was documented using ambulatory actigraphy. Inflammatory markers (interleukin-6, C-reactive protein, fibrinogen and soluble intercellular adhesion molecule-1) were assessed at weekly intervals. Negative mood was measured with the Profile of Mood States (POMS) and the Beck Depression Inventory (BDI), and fatigue with the Multidimensional Fatigue Inventory (MFI). Autonomic nervous system activity was examined using heart rate variability-based indices. RESULTS: Changes in inflammatory markers did not differ between exercise withdrawal and control groups (multivariate p interaction=0.25). Exercise withdrawal resulted in increased negative mood symptoms and fatigue from baseline to day 14 compared to controls (p DeltaPOMS=0.008, p DeltaBDI=0.002; p DeltaMFI=0.003), but these responses were not associated with changes in inflammatory markers (p-values >0.10). Inflammatory markers were also not correlated with autonomic nervous system dysregulation (p-values >0.10). CONCLUSION: Inflammatory markers were not increased following 2 weeks of exercise withdrawal. Negative mood symptoms and fatigue were not accounted for by changes in inflammatory markers. Compensatory feedback mechanisms may operate among healthy individuals to promote resilience from the effects of reduced exercise.