Heart and mind (Mumbai, India)最新文献

Background: Ischemic heart disease (IHD) risk in women includes biomedical, behavioral, and psychosocial contributors. The purpose of this study was to build upon previous research suggesting that in women, somatic symptoms (SS) of depression may be important to the development of IHD risk factors and major adverse cardiovascular events (MACE). Based on previous findings, we hypothesized that: (1) SS would be associated with robust biomedical predictors of heart disease and functional capacity, while cognitive symptoms (CS) of depression would not, and (2) SS would independently predict adverse health outcomes while CS would not.

Methods: We examined the relationships between symptoms of depression (SS/CS), metabolic syndrome (MetS), inflammatory markers (IM), coronary artery disease (CAD) severity, and functional capacity in two independent cohorts of women with suspected IHD. In the Women's Ischemia Syndrome Evaluation (WISE), we also examined these variables as predictors of all-cause mortality (ACM) + MACE over a median 9.3-year follow-up. The WISE sample included 641 women with suspected ischemia with or without obstructive CAD. The WISE-Coronary Vascular Dysfunction (WISE-CVD) sample consisted of 359 women with suspected ischemia and no obstructive CAD. All study measures were collected uniformly at baseline. Depressive symptoms were measured via the Beck Depression Inventory. MetS was assessed according to Adult Treatment Panel III (ATP-III) criteria.

Results: In both studies, SS was associated with MetS (Cohen's d = 0.18, 0.26, P < 0.05, respectively), while CS was not. Within WISE, using Cox Proportional Hazard Regression, SS (Hazard ratio [HR] = 1.08, 95% confidence interval [CI] = 1.01-1.15; HR = 1.07, 95% CI = 1.00-1.13) and MetS (HR = 1.89, 95% CI = 1.16-3.08; HR = 1.74, 95% CI=1.07-2.84) were independent predictors of ACM + MACE after controlling for demographics, IM, and CAD severity, while CS was not.

Conclusions: In two independent samples of women undergoing coronary angiography due to suspected ischemia, SS but not CS of depression were associated with MetS, and both SS and MetS independently predicted ACM and MACE. These results add to previous studies suggesting that SS of depression may warrant specific attention in women with elevated cardiovascular disease (CVD) risk. Future research evaluating the biobehavioral basis of the relationship between depression, MetS, and CVD is needed.

Background: Depression is an established predictor of coronary artery disease (CAD) progression and mortality. "Somatic" symptoms of depression such as fatigue and sleep impairment overlap with symptoms of CAD and independently predict CAD events. Differentiating between "somatic" and "cognitive" depressive symptoms in at-risk patients may improve our understanding of the relationship between depression and CAD.

Methods: The study utilized data from the Women's Ischemia Syndrome Evaluation. Participants (N = 641; mean age = 58.0 [11.4] years) were enrolled to evaluate chest pain or suspected myocardial ischemia. They completed a battery of symptom and psychological questionnaires (including the Beck Depression Inventory [BDI]) at baseline, along with quantitative coronary angiography and other CAD diagnostic procedures. The BDI provided scores for total depression and for cognitive and somatic depressive symptom subscales.

Results: Two hundred and fourteen (33.4%) women met criteria for obstructive CAD. Logistic regression models were used to examine relationships between depression symptoms and obstructive CAD. Neither BDI total scores (odds ratio [OR] =1.02, 95% confidence interval [CI], 0.99-1.05, P = 0.053) nor BDI cognitive scores (OR = 1.02, 95% CI, 1.00-1.04, P = 0.15) predicted CAD status. BDI somatic symptom scores, however, significantly predicted CAD status and remained statistically significant after controlling for age, race, and education (OR = 1.06, 95% CI, 1.01-1.12, P = 0.02).

Conclusion: Among women with suspected myocardial ischemia, somatic but not cognitive depressive symptoms predicted an increased risk of obstructive CAD determined by coronary angiography. Consistent with prior reports, these results suggest a focus on somatic rather than cognitive depressive symptoms could offer additional diagnostic information.

Background: Mood disorders have been associated with a variety of cardiovascular disease risk factors, including inflammation and large artery stiffness, particularly while depressed although longitudinal studies have been limited.

Methods: With measurements at baseline and 8 weeks, the researchers prospectively assessed mood, levels of inflammatory markers (hsCRP and TNF-α), serum lipids, and large artery stiffness in a cohort of 26 participants with a diagnosis of a mood disorder, enriched for current depression. Depressive symptoms were measured using the Montgomery-Åsberg Depression Rating Scale (MADRS) at baseline and 8 weeks. Associations between depressive symptoms and other measures were assessed using linear mixed models, unadjusted and adjusted for age and BMI.

Results: The mean age of the participants (n=26) was 41.6 (standard deviation [SD] 12.8) years, and 81% were female. During the study, there was a mean (SD) MADRS score improvement of 9.5 (9.4) from baseline to eight weeks. Reductions in the primary outcome TNF-α with improvement in depression fell short of significance (P=0.076). In secondary analyses, there was a statistically significant association between improved cholesterol ratio (P=0.038) and triglycerides (P=0.042) with depression improvement. There was no statistically significant change in large artery stiffness during the study.

Conclusion: Improved depressive symptoms were associated with improved cholesterol ratios even after adjustment, suggesting possible mechanism by which acute mood states may influence cardiovascular disease risk. Future longitudinal studies with extended and intensive follow-up investigating cardiovascular disease risk related to acute changes and persistence of mood symptoms is warranted.