Depression and cardiovascular disease: Shared molecular mechanisms and clinical implications

Predicting incident cardio-metabolic disease among persons with and without depressive and anxiety disorders: a machine learning approach

PURPOSE

There is a global increase of cardiovascular disease and diabetes (Cardio-Metabolic diseases: CMD). Suffering from depression or anxiety disorders increases the probability of developing CMD. In this study we tested a wide array of predictors for the onset of CMD with Machine Learning (ML), evaluating whether adding detailed psychiatric or biological variables increases predictive performance.

METHODS

We analysed data from the Netherlands Study of Depression and Anxiety, a longitudinal cohort study (N = 2071), using 368 predictors covering 4 domains (demographic, lifestyle & somatic, psychiatric, and biological markers). CMD onset (24% incidence) over a 9-year follow-up was defined using self-reported stroke, heart disease, diabetes with high fasting glucose levels and (antithrombotic, cardiovascular, or diabetes) medication use (ATC codes C01DA, C01-C05A-B, C07-C09A-B, C01DB, B01, A10A-X). Using different ML methods (Logistic regression, Support vector machine, Random forest, and XGBoost) we tested the predictive performance of single domains and domain combinations.

RESULTS

The classifiers performed similarly, therefore the simplest classifier (Logistic regression) was selected. The Area Under the Receiver Operator Characteristic Curve (AUC-ROC) achieved by singe domains ranged from 0.569 to 0.649. The combination of demographics, lifestyle & somatic indicators and psychiatric variables performed best (AUC-ROC = 0.669), but did not significantly outperform demographics. Age and hypertension contributed most to prediction; detailed psychiatric variables added relatively little.

CONCLUSION

In this longitudinal study, ML classifiers were not able to accurately predict 9-year CMD onset in a sample enriched of subjects with psychopathology. Detailed psychiatric/biological information did not substantially increase predictive performance.

Psychological screening in cardiovascular care

Approximately one in three patients with cardiovascular disease experience psychological distress, often with an associated poor prognosis. Early detection and intervention can improve patients' heart and mental health, yet minimal guidance on psychological screening is offered for clinicians working in cardiovascular care. This paper describes a pragmatic approach to conducting psychological screening during routine clinical care, including when and how to screen and what to do in the case of a positive screen. A psychological screening protocol is proposed to enable clinicians to assess and, where necessary, intervene or refer for further evaluation.

Association between weight-adjusted waist index and mortality: The mediative role of depressive symptoms

BACKGROUND

Recent studies have shown that weight-adjusted waist index (WWI) plays an important role in influencing mortality. Depression is a predictor of accelerated mortality. The aim of this study was to investigate the relationship between WWI and all-cause and cardiovascular disease (CVD)-specific mortality and to analyze the mediating role of depression in this relationship.

METHODS

Adults from the National Health and Nutrition Examination Survey (NHANES) 2005-2020 were included in this study. The WWI was computed as follows: WWI = waist circumference/square root of body weight. Depression symptoms were evaluated with the Patient Health Questionnaire 9 (PHQ-9). Multivariable logistic regression analyses estimated the association between WWI, depression and mortality. Mediation analyses tested the mediating effects of depression.

RESULTS

A total 45,130 participants were included and mean age was 49.24 ± 16.90 years. There was a significant correlation between the WWI, depression and mortality (P < 0.05). With increasing WWI quartiles, the risk of all-cause mortality increased (Q2: 6 %, Q3: 24 %, Q4: 52 %) and CVD-specific mortality increased (Q2: 26 %, Q3: 74 %, Q4: 105 %). With a 1.3 % and 1.4 % mediation rate, mediation analysis revealed that depression mediated the relationship between WWI and all-cause mortality and CVD-specific mortality.

CONCLUSIONS

The WWI showed a positive correlation with the risk of both all-cause mortality and CVD-specific mortality in American adults. Depressive symptoms played a minor mediating role in the relationship between the WWI and these mortalities. Nonetheless, extensive prospective studies are required to explore the interactions among these factors more comprehensively.

Predicting depression severity using machine learning models: Insights from mitochondrial peptides and clinical factors

Depression presents a significant challenge to global mental health, often intertwined with factors including oxidative stress. Although the precise relationship with mitochondrial pathways remains elusive, recent advances in machine learning present an avenue for further investigation. This study employed advanced machine learning techniques to classify major depressive disorders based on clinical indicators and mitochondrial oxidative stress markers. Six machine learning algorithms, including Random Forest, were applied and their performance was investigated in balanced and unbalanced data sets with respect to binary and multiclass classification scenarios. Results indicate promising accuracy and precision, particularly with Random Forest on balanced data. RF achieved an average accuracy of 92.7% and an F1 score of 83.95% for binary classification, 90.36% and 90.1%, respectively, for the classification of three classes of severity of depression and 89.76% and 88.26%, respectively, for the classification of five classes. Including only oxidative stress markers resulted in accuracy and an F1 score of 79.52% and 80.56%, respectively. Notably, including mitochondrial peptides alongside clinical factors significantly enhances predictive capability, shedding light on the interplay between depression severity and mitochondrial oxidative stress pathways. These findings underscore the potential for machine learning models to aid clinical assessment, particularly in individuals with comorbid conditions such as hypertension, diabetes mellitus, and cardiovascular disease.

Cluster and survival analysis of UK biobank data reveals associations between physical multimorbidity clusters and subsequent depression

BACKGROUND

Multimorbidity, the co-occurrence of two or more conditions within an individual, is a growing challenge for health and care delivery as well as for research. Combinations of physical and mental health conditions are highlighted as particularly important. Here, we investigated associations between physical multimorbidity and subsequent depression.

METHODS

We performed a clustering analysis upon physical morbidity data for UK Biobank participants aged 37-73. Of 502,353 participants, 142,005 had linked general practice data with at least one baseline physical condition. Following stratification by sex (77,785 women; 64,220 men), we used four clustering methods and selected the best-performing based on clustering metrics. We used Fisher's Exact test to determine significant over-/under-representation of conditions within each cluster. Amongst people with no prior depression, we used survival analysis to estimate associations between cluster-membership and time to subsequent depression diagnosis.

RESULTS

Our results show that the k-modes models perform best, and the over-/under-represented conditions in the resultant clusters reflect known associations. For example, clusters containing an overrepresentation of cardiometabolic conditions are amongst the largest (15.5% of whole cohort, 19.7% of women, 24.2% of men). Cluster associations with depression vary from hazard ratio 1.29 (95% confidence interval 0.85-1.98) to 2.67 (2.24-3.17), but almost all clusters show a higher association with depression than those without physical conditions.

CONCLUSIONS

We show that certain groups of physical multimorbidity may be associated with a higher risk of subsequent depression. However, our findings invite further investigation into other factors, such as social considerations, which may link physical multimorbidity with depression.

Urban environmental noise and depression causal pathway: Potential role of chronic conditions as mediator

BACKGROUND

Accepting the fact of a growing urban population and associated health risks, such as increased exposure to pollutants, and considering the high prevalence of chronic diseases, this study aims to investigate the relationship between exposure to environmental noise and depression. The primary objective is to determine the potential mediating role of chronic diseases in this relationship. This study is part of the European H2020 URBANOME project, designed to explore the relationship between the environment and health in urban settings. The main goal of the project is to promote urban health, well-being, and liveability by systematically integrating health concerns into urban policies and civic activities.

MATERIALS AND METHODS

We obtained the data for this study from the Madrid City Health Survey, conducted through computer-assisted telephone interviews. Outcome variables assessed through self-reports included depression, exposure to environmental noise, and the presence of chronic diseases. We used a counterfactual mediation framework, implemented by the R package multimediate, to evaluate the potential mediating role of chronic diseases in the relationship between exposure to environmental noise and depression.

RESULTS

The study included 8,445 interviews, with a higher percentage of women (54.67%) than men. 23.29% were over 65, and 17.17% under 30. Notably, 7.82% reported depression, 39.53% had chronic diseases, and 35.43% acknowledged noise exposure. In our regression models, those exposed to environmental noise were 1.24 times more likely to have a chronic disease, and individuals with a chronic disease were 2.93 times more likely to suffer from depression. Participants exposed to environmental noise had 1.03 times more depression, being the 13% of the noise health effect mediated by the presence of chronic illness.

CONCLUSION

Our findings suggest a link between environmental noise exposure and depression, potentially mediated by chronic diseases. This points out the need for public health interventions to reduce urban noise exposure and improve mental health. Furthermore, prospective studies are needed for confirmation, incorporating noise level measurements and temporal data on the onset of chronic diseases and depression.

Mediating effect of pro-inflammatory cytokines in the association between depression, anxiety, and cardiometabolic disorders in an ethnically diverse community-dwelling middle-aged and older US population

Introduction

Neuroinflammation is associated with depression and anxiety risk, both of which demonstrate a bilateral relationship with cardiometabolic disorders. Systemic inflammation is also commonly described in patients with cardiometabolic disorders. It is, thus, unclear whether pro-inflammatory cytokines might mediate the relationship between depression, anxiety, and cardiometabolic disorders, particularly in advanced ages.

Methods

The multiethnic ≥ 50-year-old study population is a subset of the Health and Aging Brain Study: Health Disparities (HABS-HD). Adjusted logistic and linear regression models were applied to assess associations. Non-linearity was evaluated using restricted cubic splines. Statistical mediation analysis was used to determine the role of inflammation (Tumor Necrosis Factor-alpha (TNF-alpha) and Interleukin-6 (IL-6)). Models were corrected for multiple testing using the False Discovery Rate (FDR)-method.

Results

In the 2,093 included cases, depression and/or anxiety were significantly associated with 62% higher odds of Cardiovascular Disorder (CVD) (OR=1.62 [95% CI: 1.22-2.15]), 54% of type 2 diabetes (T2DM) (OR=1.54 [95% CI: 1.29-1.85]), 26% of hypertension (OR=26% [95% CI: 1.07-1.48]), and 29% of obesity (OR=1.29 [95% CI: 1.11-1.51]).Only IL-6 showed a significant mediating role in the association of depression and/or anxiety with CVD (10%, p-value FDR =0.016), T2DM (13%, p-value FDR <0.001), hypertension (16%, p-value FDR <0.001), and obesity (23%, p-value FDR <0.001).

Conclusions

Depression and anxiety were significantly associated with higher odds of major cardiometabolic disorders, and IL-6 partly mediated these associations. Clinical studies are needed to replicate the findings and specifically cluster high-risk profiles.

Association of depression, traditional risk factor control and genetic risk with incident cardiovascular disease among individuals with prediabetes: A population-based prospective study from UK biobank

BACKGROUND

The relationship between depression and cardiovascular disease (CVD) in individuals with prediabetes, its relative importance compared with traditional risk factors and whether genetic risk modifies this association remain unclear.

AIMS

To explore the potential interactive effects of controlling traditional risk factors and depression on CVD, and to assess how depression compares with traditional risk factors in terms of its relative contribution to CVD risk in individuals with prediabetes.

MATERIALS AND METHODS

We analysed a prospective cohort of 42,020 individuals from the UK Biobank, all free of prevalent CVD. Depression was determined using multiple sources to accurately assess the exposure. The five traditional risk factors considered were sleep duration, smoking, blood pressure (BP), low-density lipoprotein (LDL) cholesterol and renal function. We used Cox proportional hazards regression models to examine the associations between depression, risk factor control and CVD events.

RESULTS

Over a median follow-up of 13.1 years, 5865 individuals developed CVD, including 4764 cases of coronary heart disease and 1415 strokes. Compared with controlling 4-5 risk factors, both depression and controlling 0-1 risk factor significantly increased the risk of CVD in individuals with prediabetes. The corresponding multivariable-adjusted hazard ratios (95% CI) for CVD were 1.18 (1.09-1.28) and 1.44 (1.29-1.60), respectively. Depression ranked second in predicting CVD among the selected risk factors. A synergistic effect between depression and risk factor control was observed for CVD, with a relative excess risk due to interaction of 0.16 (0.06-0.26). Furthermore, these associations were independent of the genetic susceptibility to CVD.

CONCLUSIONS

Among individuals with prediabetes, both depression and suboptimal control of traditional risk factors are associated with an increased risk of CVD, independent of genetic susceptibility.

BDNF mediates the heart-brain axis: implications for cardiovascular diseases and mental disorders

The comorbidity of cardiovascular diseases (CVDs) and mental disorders (MD) has become a significant challenge in modern medicine, severely affecting patients' quality of life and prognosis. The heart-brain axis, a bidirectional pathway connecting the central nervous system and the cardiovascular system, plays a critical role in the comorbidity mechanisms of CVDs and MD. In recent years, brain-derived neurotrophic factor (BDNF) has emerged as a key molecule in the study of CVDs and MD. By binding with high affinity to TrkB receptors and activating various signaling pathways, BDNF exerts multiple functions in both the nervous and cardiovascular systems. BDNF may participate in the pathogenesis of CVDs combined with MD through multiple mechanisms such as regulating inflammatory responses, oxidative stress (OS), and the hypothalamic-pituitary-adrenal (HPA) axis, making it a promising new target for future diagnosis and treatment. This review systematically summarizes the mechanisms by which BDNF functions in heart-brain comorbidity, particularly its multifaceted influence on inflammation, OS, and neuroendocrine regulation. Additionally, we discuss the clinical application prospects of BDNF in disease diagnosis and treatment, as well as progress in related drug development. A deeper understanding of BDNF's role in the heart-brain axis will provide new insights and strategies for the prevention, diagnosis, and treatment of CVDs and MD.

Cardiovascular diseases and depression: A meta-analysis and Mendelian randomization analysis

Depression is a common psychiatric symptom among patients with cardiovascular disease (CVD), adversely affecting their health. Despite the identification of various contributing factors, the precise mechanisms linking CVD and depression remain elusive. This study conducted a meta-analysis to investigate the association between CVD and depression. Furthermore, a bidirectional Mendelian randomization (MR) analysis was undertaken to clarify the causal relationship between the two conditions. The meta-analysis included 39 studies, encompassing 63,444 patients with CVD, 12,308 of whom were diagnosed with depression. The results revealed a significant association between CVD and depression or anxiety, with an estimated overall prevalence of depression in CVD patients of 20.8%. Subgroup analyses showed that the prevalence of depression in patients with coronary artery disease and heart failure was 19.8% and 24.7%, respectively. According to a random-effects model, depressive symptoms were linked to an increase in unadjusted all-cause mortality compared with non-depressed patients. The MR analysis, employing the inverse-variance weighted method as the primary tool for causality assessment, identified significant associations between various CVD types and depression or anxiety phenotypes. These findings underscore the significant relationship between CVD and depression or anxiety, leading to an elevated risk of all-cause mortality. Moreover, the MR analysis provides the first genetically-informed evidence suggesting that depression plays a critical role in the development and progression of certain CVD subtypes. This emphasizes the need for addressing depressive symptoms in CVD patients to prevent or reduce adverse cardiovascular outcomes.

Sedentary behavior modified the association between depression and risk of all-cause deaths in hypertensive population

OBJECTIVE

The pathogenic mechanism of depression involves chronic inflammation, which can be affected by sedentary behavior. This study aimed to determine whether sedentary behavior modified the association between depression and risk of death in the hypertensive population.

METHODS

Data from the National Health and Nutrition Examination Survey (2007-2018) was analyzed. Depression was assessed through the Health Questionnaire-9, and sedentary behavior was evaluated using self-reported sitting hours in a day. Deaths were ascertained through the National Death Index until 31 December 2019. The interaction effect was evaluated through multivariable Cox regression analysis.

RESULTS

Eight thousand one hundred and twenty-four patients with hypertension were involved in the study. During a median follow-up of 7.3 years, we confirmed 1384 all-cause and 373 cardiovascular deaths. Separate analyses revealed that both depression and sitting for 6 h per day or more were correlated with increased risks of all-cause and cardiovascular deaths. Of note, we found that sitting time modified the link between depression and the risk of all-cause death (P for interaction: 0.02). Compared with the nondepression group, the depression group was correlated with an elevated risk of all-cause death among participants with sitting time of more than 6 h/day [hazard ratio 1.52, 95% confidence interval (CI) 1.22-1.91, P < 0.001], but not among participants with sitting time of less than 6 h/day (hazard ratio 0.95, 95% CI 0.65-1.39, P = 0.76).

CONCLUSION

Sedentary behavior modified the link between depression and the risk of all-cause death. Reducing sedentary time might attenuate the detrimental effects of depression on survival in the hypertensive population.

Anxiety, depression and acromegaly: a systematic review

PURPOSE

scientific literature highlights risk factors linked to the onset of psychopathology in different medical pathological contexts. Acromegaly is a rare condition, particularly noteworthy due to the associated clinical psychological features. This research aimed at understanding the main psychopathological outcomes related to acromegaly, with particular emphasis to anxiety and depression.

METHODS

In January 2024, in line with PRISMA guidelines, a systematic search based on PubMed, Scopus, Web of Science and PsycInfo was conducted to detect studies considering anxiety, depression and alexithymia in patients suffering from acromegaly. The Keywords used for the search phase were "Acromegaly" AND "Depression" OR "Anxiety" OR "Alexithymia".

RESULTS

Fifty-five studies were eligible. Anxiety and depression were significantly present in patients with acromegaly, with prevalence rates variable based on disease status and psycho-diagnostic instruments. None of the included studies reported alexithymia in patients with acromegaly. No significant difference was found regarding anxiety and depressive symptoms in patients with acromegaly in comparison with patients suffering from different pituitary diseases and chronic conditions. Anxiety and depression were associated with lower perceived HR-QoL, presence of comorbidity, joint issues, delayed diagnosis, disease duration and body image concerns.

CONCLUSIONS

Anxiety and depression may be encountered in patients with acromegaly, impacting HR-QoL and the course of the disease. This systematic review suggests that a deeper evaluation of clinical psychological features in patients suffering from acromegaly is needed. Particularly, the early detection of clinical psychological symptoms may lead to multi-integrate interventions promoting individuals' well-being and a better HR-QoL.

Blood cytokines in major depressive disorder in drug-naïve adolescents: A systematic review and meta-analysis

BACKGROUND

Major depressive disorder (MDD) is the most common mental health problem worldwide. Increased levels of inflammation are associated with MDD, though this relationship has been suggested to be bidirectional. The first incidence of a depressive episode usually occurs during adolescence. Hence, examining depressed, drug-naïve adolescents is important to understand the role of inflammation in the pathophysiology of MDD. Cytokines might play a crucial role in inflammation associated with MDD. Therefore, this article aims to investigate the changes in the levels of peripheral blood cytokines in adolescents with MDD.

METHODS

We conducted a systematic review and meta-analysis to assess the changes in peripheral blood cytokines in drug-naïve adolescents (10-18 years) with MDD. A comprehensive search across four databases was performed to identify original research articles. Studies in which the diagnosis of MDD was set by semi-structured interview were included.

RESULTS

Of 2291 articles, 12 met the inclusion criteria for the review, with seven suitable for meta-analysis & including up to five studies per cytokine. The meta-analysis revealed significant associations between tumor necrosis factor (TNF)-α (n = 222, Hedge's g = 0.51, p <0.01) and MDD in adolescents compared to healthy individuals. However, other blood cytokines, including interleukin (IL)-1β, IL-4, IL-6, IL-8, and interferon (IFN)-γ, did not significantly correlate with MDD in adolescents.

CONCLUSION

TNF-α was significantly elevated in drug-naïve adolescents with MDD. To further understand the role of TNF-α in MDD, a thorough investigation is required, taking into account the diversity, subtypes, chronicity, and severity of MDD.

The relationship between depression and nutritional status among the elderly adults with cardiovascular diseases in Northern Iran

BACKGROUND

Malnutrition and depression among the elderly people with cardiovascular diseases are important public health concerns. This study made an attempt to determine the relationship between these people's depression and their nutritional status in northern Iran.

METHODS

This analytical cross-sectional study was conducted on 190 elderly patients hospitalized with cardiovascular diseases in Dr. Heshmat Heart Hospital in Rasht (Iran) in the 2022-2023. The research instruments included demographic information questionnaire, mini-nutritional assessment questionnaire, and geriatric depression scale. Data were analyzed by SPSS-21 software and using Chi-Square tests and ordinal logistic regression.

RESULTS

The participants' mean age was 68.4 ± 6.5 and 50.5% of the participants were women.56.3% of the elderly participants suffered from malnutrition and 96.3% of them suffered from various degrees of depression. Additionally, there was a relationship between the participants' severity of depression and their nutritional status. Significant relationships were also observed between the participants' depression (OR = 1.28 and p < 0.001), marital status (OR = 1.52 and p = 0.006), and underlying diseases (OR = 0.814, p = 0.035) with nutritional status.

CONCLUSION

Given the significant relationship depression with nutritional status in cardiovascular patients, early diagnosis and treatment of depression in these patients is essential to prevent the effects of depression on nutritional status and disease course.

The Contribution of Noncommunicable and Infectious Diseases to the Effect of Depression on Mortality: A Longitudinal Causal Mediation Analysis

BACKGROUND

The increased prevalence of physical diseases among individuals with mental illness contributes to their increased risk of mortality. However, the mediating role of specific diseases in the effect of mental illness on mortality is not well understood.

METHOD

We conducted a longitudinal causal mediation analysis using data from beneficiaries of a South African medical insurance scheme from 2011 to 2020. We estimated the overall effect of major depressive disorder (MDD) on mortality and evaluated reductions in this overall effect through hypothetical interventions on the risks of mediating physical diseases using an interventional effects approach. Monte Carlo simulation-based g-computation was used for estimation.

RESULTS

Among 981,540 individuals, 143,314 (14.6%) were diagnosed with MDD. Mortality risk after 8 years was 6.5% under MDD, and 5.3% under no MDD (risk ratio 1.23, 95% CI = 1.19, 1.26). Overall, 43.4% of this disparity could be attributed to higher rates of physical comorbidities due to MDD. Cardiovascular diseases accounted for 17.8%, followed by chronic respiratory diseases (8.6%), cancers (7.5%), diabetes and chronic kidney disease (5.8%), tuberculosis (4.3%), and HIV (2.7%).

CONCLUSION

Within the privately insured population of South Africa, MDD is associated with increased mortality. We found that noncommunicable diseases, rather than infectious diseases, are important mediators of the effect of MDD on mortality.

Exploring the correlation between cardiovascular adverse events and antidepressant use: A retrospective pharmacovigilance analysis based on the FDA Adverse Event Reporting System database

BACKGROUND

The high comorbidity and mutually reinforcing relation between depression and cardiovascular disease have raised concerns about the cardiovascular risk of antidepressants. To gain a better understanding of this correlation, we performed a comprehensive evaluation regarding the types and degrees of cardiovascular adverse events (AEs) associated with 37 commonly prescribed antidepressants.

METHODS

AE reports from January 2004 to December 2023 were retrieved from the FDA Adverse Event Reporting System (FAERS) database. Disproportionality analysis was performed to identify antidepressant-related cardiovascular signals using the reporting odds ratio, proportional reporting ratio, and information component. Influencing factors of cardiovascular death, including age, sex, antidepressant choice, and concomitant medication, were explored. The underlying mechanisms of antidepressant-associated cardiovascular risk related to neurotransmitter transporters/receptors were further explored.

RESULTS

The use of antidepressants was associated with eight categories of Standardized MedDRA Queries of cardiovascular events. Different antidepressants exerted varying types and degrees of cardiovascular risks along with contributions to death in reports with cardiovascular AEs. Among them, monoamine oxidase inhibitors had the highest risk of developing six cardiovascular event categories: torsades de pointes (TdP)/QT prolongation, hypertension, cardiac arrhythmias, cardiomyopathy, pulmonary hypertension, and ischaemic heart disease. Age, male and the use of 24 types of antidepressants and concomitant medications were positively correlated with death in cardiovascular AEs. The highest risk associated with antidepressants was found in amoxapine (OR = 5.00 [2.13, 11.75], P < 0.001), followed by moclobemide (OR = 3.66 [1.85, 7.24], P < 0.001). Correlation analysis indicated the occurrence of antidepressant-related TdP/QT prolongation, hypertension and cardiomyopathy was associated with the binding and uptake inhibition of dopamine and norepinephrine transporters as well as their selectivity over serotonin transporters.

CONCLUSION

The retrospective analysis revealed that cardiovascular AEs were connected with antidepressant use, and the binding/uptake inhibitory potency and selectivity of neurotransmitters of antidepressants played an important role, providing a preliminary basis for further in-depth study of antidepressant-related cardiovascular toxicity. However, as an exploratory study, prospective studies are needed to validate our findings in the future.

Sertraline in depressed patients with or at risk for coronary heart disese: a systemic review

BACKGROUND AND AIMS

Depression is a prevalent comorbidity among patients with coronary heart disease (CHD). While recent studies have hinted at a possible association between CHD and antidepressant medications like sertraline, the existing evidence remains inconclusive. To investigate this potential link, we conducted a comprehensive systematic review.

METHODS

We systematically searched PubMed, Google Scholar, and Scopus for relevant articles published up to March 2023. After a thorough screening of titles and abstracts, 12 studies were included in our review.

RESULTS

The included studies, spanning from 1999 to 2021, comprised 11 randomized controlled trials (RCTs) and one pilot study. A total of 2767 participants with major depressive disorder and a history of cardiovascular disease or at risk for such events were included. The majority of these studies demonstrated improvements in mood status among patients treated with serotonin-targeting antidepressants and a reduced risk of cardiovascular events, as measured by various outcomes. While some cardiac adverse effects were observed with serotonin treatment, these did not reach statistical significance.

CONCLUSION

Our findings provide evidence supporting the beneficial effects of serotonin-targeting antidepressants for both depressive symptoms and the prevention of coronary adverse outcomes. These results highlight the potential value of serotonin-based treatments for depression in high-risk populations.

Cardiovascular effects of early maternal separation and escitalopram treatment in rats with depressive-like behaviour

Depression and cardiovascular diseases are two of the world's major health problems. Escitalopram (ESC) is widely used because of its safety in relation to other drugs in that class; however, it can affect the cardiovascular system. The present study evaluated the cardiovascular parameters of depressive-like male rats and the cardiovascular effects of ESC treatment on that condition. The EMS protocol consisted of separating the litter from the dam for 3 h over 13 days. Animals were anesthetized with tribromoethanol (250 mg/kg, intraperitoneally) and the catheters were inserted into the femoral and into the femoral vein. Depressive-like rats showed an increase in the pressor response to phenylephrine (Emax:depressive = 50.36 ± 2.997 mmHg; non-depressive = 39.51 ± 3.328 mmHg; p < 0.05) and a reduction in the EC50 (depressive = 0.6203 ± 0.03005 μg/kg; non-depressive = 0.7320 ± 0.03519 μg/kg; p < 0.05) with no change in the other cardiovascular parameters. After treatment with ESC, a reduction of intrinsic heart rate was observed in the depressive-like rats (control: 342 ± 6 bpm; ESC: 316 ± 5 bpm; p < 0.05). In addition, ESC treatment increased the bradycardic (control: -97.81 ± 8.3 bpm; ESC: -137.1 ± 12.31 bpm; p = 0.0236; t = 2.502) during the baroreflex response, caused by an increase in cardiac parasympathetic modulation in the heart, in depressive-like rats (p < 0.001). The findings suggest that depressive-like rats showed cardiovascular changes, and that ESC treatment was able to reverse these changes, suggesting that ESC has a good safety profile for depressive patients with cardiovascular disease due to increased parasympathetic modulation.

Association of depression with severe non-alcoholic fatty liver disease: evidence from the UK Biobank study and Mendelian randomization analysis

The relationship between depression and severe non-alcoholic fatty liver disease (NAFLD) has not been clearly defined. We conducted a longitudinal cohort study and a two-sample Mendelian randomization (MR) analysis to assess the association of depression with severe NAFLD risk. We used individual data from the UK Biobank study with 481,181 participants, and summary data from published genome-wide association studies. The association between depression and severe NAFLD was assessed using Cox proportional hazards regression analysis. Two-sample MR for depression with NAFLD was conducted, the principal analysis employed the inverse variance weighted (IVW) approach. In the observational study, after a median follow-up of 13.46 years, 4,563 participants had severe NAFLD. In multivariable-adjusted model, participants with depression had an increased risk of severe NAFLD (hazards ratio:1.21, 95% confidence interval (CI):1.09-1.34), as compared to those without depression. In subgroup analyses, the association between depression and severe NAFLD risk was generally observed across different subgroups. For the MR, result also showed that genetically predicted depression was causally associated with a higher risk of NAFLD (odds ratio:1.55, 95%CI:1.10-2.19) in IVW. Our study revealed a prospective association of depression with severe NAFLD, thus potentially necessitating clinical monitoring of individuals with depression for severe NAFLD.

Association of cardiovascular-kidney-metabolic health and social connection with the risk of depression and anxiety

BACKGROUND

To explore the association of cardiovascular-kidney-metabolic (CKM) health with the risk of depression and anxiety and to investigate the joint association of CKM health and social connection with depression and anxiety.

METHODS

This prospective cohort study included 344 956 participants from the UK Biobank. CKM syndrome was identified as a medical condition with the presence of metabolic risk factors, cardiovascular disease, and chronic kidney disease, and was classified into five stages (stage 0-4) in this study. Loneliness and social isolation status were determined by self-reported questionnaires. Cox proportional hazards models were applied for analyses.

RESULTS

Compared with participants in stage 0, the HRs for depression were 1.17 (95% CI 1.10-1.25), 1.40 (95% CI 1.33-1.48), and 2.14 (95% CI 1.98-2.31) for participants in stage 1, 2-3, and 4, respectively. Similarly, participants in stage 2-3 (HR = 1.20, 95% CI 1.14-1.26) and stage 4 (HR = 1.63, 95% CI 1.51-1.75) had greater risks of incident anxiety. We found additive interactions between loneliness and CKM health on the risk of depression and anxiety. Participants simultaneously reported being lonely and in stage 4 had the greatest risk of depression (HR = 4.44, 95% CI 3.89-5.07) and anxiety (HR = 2.58, 95% CI 2.21-3.01) compared with those without loneliness and in stage 0. We also observed an additive interaction between social isolation and CKM health on the risk of depression.

CONCLUSIONS

Our findings suggest the importance of comprehensive interventions to improve CKM health and social connection to reduce the disease burden of depression and anxiety.

Depression in Cardiac Patients Is a Major Cardiovascular Event Risk Factor: A 12-Month Observational Study

Background: Depression is a known factor in poor cardiovascular outcomes but is often underassessed in cardiac units. This study evaluates the impact of depression on cardiovascular outcomes in patients undergoing cardiac interventions. Methods: The study included 133 patients who underwent uncomplicated procedures for degenerative aortic valve stenosis (n = 40), acute coronary syndrome (n = 29), or chronic coronary artery disease (n = 64). Depression was assessed using the Beck Depression Inventory (BDI) and Hamilton Depression Rating Scale (HAM-D). The primary endpoint was a major adverse cardiac and cerebrovascular event (MACCE). Patients were followed up for 12 months. Cox proportional hazards analysis was used to identify MACCE risk factors. Results: Depression was more frequently screened by HAM-D than BDI (42.9% vs. 30.8%, p < 0.001). During follow-up, 26 (19.5%) MACCEs occurred. In univariate analysis, risk factors included BDI score ≥ 11, HAM-D score ≥ 8, diabetes on insulin, anticoagulant use, atrial fibrillation, and serum creatinine level ≥ 130 µmol/L. Depression in the BDI increased the risk of the MACCE 3.6-fold (95%CI: 1.64-8.0, p = 0.001), whereas in the HAM-D, it increased the risk 4.9-fold (95%CI: 1.97-12.24, p < 0.001). Multivariate analysis showed HAM-D score ≥ 8 as the strongest predictor of MACCE (HR: 3.08, 95%CI: 1.18-8.08). Conclusions: Depression is a common finding in cardiovascular patients, and it is a strong risk factor for one-year cardiovascular mortality and adverse event risk. Therefore, we believe that common guidelines should be elaborated between relevant psychiatry and cardiology scientific societies.

Development, validation, and visualization of a novel nomogram to predict depression risk in patients with stroke

BACKGROUND

This study aimed to develop and validate a predictive nomogram model applicable to depression risk in stroke patients.

METHODS

Participants from the NHANES database (n = 1097) were enrolled from 2005 to 2018; 767 subjects were randomly assigned to the training cohort, and the remaining subjects composed the testing cohort. A nomogram containing the optimal predictors identified by the least absolute shrinkage and selection operator (LASSO) and logistic regression methods was constructed to estimate the probability of depression in stroke patients. To evaluate the performance of the nomogram, the area under the receiver operating characteristic curve (AUC), calibration plot, decision curve analysis (DCA) and internal validation were utilized.

RESULTS

Age, family income, trouble sleeping, coronary heart disease, and total cholesterol were included in the nomogram after filtering predictive variables. The AUCs of the nomogram for the training and testing cohorts were 0.782 (95 % CI = 0.742-0.821) and 0.755 (95 % CI = 0.675-0.834), respectively. The calibration plot revealed that the predicted probability was extremely close to the actual probability of depression occurrence in both the training and testing cohorts. DCA revealed that the nomogram model in the training and testing cohorts had a net benefit when the risk thresholds were 0-0.59 and 0-0.375, respectively.

LIMITATIONS

This study was limited by the absence of clinical external validation, which hindered the estimation of the nomogram's external applicability. In addition, this study has a cross-sectional design.

CONCLUSIONS

A novel nomogram was successfully constructed and proven to be beneficial for identifying individuals at high risk for depression among stroke patients.

Sex Differences in the Association of Depression Symptoms and Cardiovascular Disease in Adults in the United States

PURPOSE

This study explores the relationship between depression and cardiovascular disease (CVD) in the US adult population, focusing on sex differences.

DESIGN

Cross-sectional study.

SETTING

National Health and Nutrition Examination Survey data (2013-2018).

PARTICIPANTS

A total of 14 699 community-dwelling adults (≥20 years).

MEASURE

The Patient Health Questionnaire (PHQ-9) depression screening tool assessed depressive symptoms. CVD events included heart failure, coronary heart disease, angina, heart attack, or stroke.

ANALYSIS

Adjusted prevalence ratios were estimated using a Poisson regression model.

RESULTS

The study finds a positive association between CVD incidents and both mild to moderate depressive symptoms (aPR:1.42, P = .002) and moderately severe to severe depression (aPR:1.72, P = .024). Overall, females exhibit a 47% lower likelihood of CVD incidents compared to males. However, in a subgroup analysis, increased depressive symptoms correlate with higher CVD incidents in females (aPRs range: 2.09 to 3.43, P < .001) compared to males (aPRs range: 1.45 to 1.77, P < .001).

CONCLUSION

Depression is associated with increased cardiovascular disease (CVD) risk. Females generally have a lower CVD risk than males, but more severe depressive symptoms elevate CVD risk in females. These findings emphasize the significance of considering sex differences. Further research is needed to understand the underlying mechanisms.

Mediating role of depression in linking rheumatoid arthritis to all-cause and cardiovascular-related mortality: A prospective cohort study

OBJECTIVE

This study aimed to analyze the associations between rheumatoid arthritis (RA) and all-cause mortality and cardiovascular disease (CVD)-related mortality using data from the National Health and Nutrition Examination Survey (NHANES) and examine the potential mediating role of depression in these correlations.

METHODS

19,165 participants across five NHANES cycles from 2007 to 2016 participated in this study. Multifactorial Cox regression models between RA, depression and two mortality outcomes and multifactorial regression models between RA and depression were constructed to examine their associations. The mediating role of depression has also been investigated.

RESULTS

The prevalence of RA in this study was 6.57 %, the all-cause mortality of RA patients was 20.57 %, and the CVD-related mortality was 6.12 %. In the fully adjusted model, RA was associated with all-cause mortality [hazard ratio (HR) = 1.28, 95 % confidence interval (CI) = 1.12 to 1.48] and CVD-related mortality (HR = 1.33, 95 % CI = 1.03 to 1.72), without detectable interaction among subgroups (P for interaction >0.05). RA also had a positive correlation with depression. Depression score demonstrated pronounced mediating effects in the connections between RA and two types of mortality, with mediation ratios of 18.2 % and 18.9 %.

LIMITATIONS

The diagnosis of RA is self-reported and may be subject to recall bias.

CONCLUSIONS

RA was positively correlated with the risk of all-cause mortality and CVD-related mortality. Depression partially mediates these associations. Close attention to and active improvement of mental health in RA patients will be critical to decrease all-cause mortality and CVD-related mortality.

Association of diastolic and systolic blood pressure with depression: a cross-sectional study from NHANES 2005-2018

Background

Many studies worldwide have reported the association between mental health and blood pressure, but the results are mixed, and even contradictory. We aim to investigate the relationship between systolic and diastolic blood pressure and depression in the entire US population.

Methods

This study analyzed cross-sectional data from the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2018. All adults completed 3-4 blood pressure measurements after sitting quietly for 5 minutes. Depression was diagnosed based on the Patient Health Questionnaire (PHQ-9), with a score ≥10 defined as depression. Weighted logistic regression and restricted cubic splines (RCS) were used to assess the relationship between blood pressure and depression. Two-piecewise linear regression was used to determine the inflection point. Additionally, subgroup analyses and interaction tests were conducted to identify potential subgroups. Finally, two sensitivity analyses were conducted.

Results

A total of 26,581 American adults were included, with a mean age of 47.2 years, of whom 13,354 (49.54%) were male; 2,261 individuals were defined as depressed, with a weighted prevalence of 7.41%. All participants' mean systolic blood pressure (SBP) was 121.7 mmHg, and the mean diastolic blood pressure (DBP) was 70.9 mmHg. RCS showed a nonlinear association between SBP and depression, while DBP showed a positive linear association with depression. Two-piecewise linear regression showed that the inflection point of the association between SBP and depression was 129.7 mmHg. Weighted logistic regression showed that after fully adjusting for depression-related risk factors, there was a significant positive correlation between per 10 mmHg increase in DBP and depression (OR: 1.06, 95% CI: 1.00-1.12, P=0.04); however, only on the left side of the inflection point, SBP tended to decrease the odds of depression (P =0.09). Furthermore, interaction analysis showed that the association between DBP and depression was significantly stronger in cancer patients (P for interaction=0.02); on the left side of the inflection point (<129.7 mmHg), current smokers also significantly interacted with SBP (P for interaction=0.018). Finally, two sensitivity analyses also supported our findings.

Conclusion

In the adult population of the United States, there is a positive linear association between DBP and depression, while the association between SBP and depression exhibits a significant threshold effect, maintaining SBP at 129.7 mmHg is associated with the lowest prevalence of depression.

A Potential Role for MAGI-1 in the Bi-Directional Relationship Between Major Depressive Disorder and Cardiovascular Disease

PURPOSE OF REVIEW

Major Depressive Disorder (MDD) is characterized by persistent symptoms such as fatigue, loss of interest in activities, feelings of sadness and worthlessness. MDD often coexist with cardiovascular disease (CVD), yet the precise link between these conditions remains unclear. This review explores factors underlying the development of MDD and CVD, including genetic, epigenetic, platelet activation, inflammation, hypothalamic-pituitary-adrenal (HPA) axis activation, endothelial cell (EC) dysfunction, and blood-brain barrier (BBB) disruption.

RECENT FINDINGS

Single nucleotide polymorphisms (SNPs) in the membrane-associated guanylate kinase WW and PDZ domain-containing protein 1 (MAGI-1) are associated with neuroticism and psychiatric disorders including MDD. SNPs in MAGI-1 are also linked to chronic inflammatory disorders such as spontaneous glomerulosclerosis, celiac disease, ulcerative colitis, and Crohn's disease. Increased MAGI-1 expression has been observed in colonic epithelial samples from Crohn's disease and ulcerative colitis patients. MAGI-1 also plays a role in regulating EC activation and atherogenesis in mice and is essential for Influenza A virus (IAV) infection, endoplasmic reticulum stress-induced EC apoptosis, and thrombin-induced EC permeability. Despite being understudied in human disease; evidence suggests that MAGI-1 may play a role in linking CVD and MDD. Therefore, further investigation of MAG-1 could be warranted to elucidate its potential involvement in these conditions.

Major depression is not associated with higher myocardial infarction rates: insights from a large database

Background: Depression has been suggested to increase the risk of cardiovascular disease, but many studies assessed depression after heart disease onset. This study evaluated the association between depression and myocardial infarction (MI) using a large inpatient database.Methods: We analyzed patients from the National Inpatient Sample hospitals from 2005 to 2020, selecting those aged >30 with ICD-9 and ICD-10 codes for segment elevation (ST) elevation myocardial infarction (STEMI), non-ST elevation myocardial elevation (NSTEMI) and major depression.Results: Our data included 4413,113 STEMI patients (224,430 with depression) and 10,421,346 NSTEMI patients (437,058 with depression). No significant association was found between depression and MI. For STEMI, the 2005 odds ratio was 0.12 (95% CI: 0.10-0.15, p < 0.001) and the 2020 odds ratio was 0.71 (95% CI: 0.69-0.73, p < 0.001). Similar patterns were observed for NSTEMI.Conclusion: Depression may not independently be a significant risk factor for MI.

The mediating role of sleep disturbance in the relationship between depression and cardiovascular disease

Background

Studies suggest that both depression and disrupted sleep disturbance are linked to cardiovascular disease (CVD). However, the precise role of sleep disturbance in the connection between depression and CVD is poorly understood. Therefore, we sought to examine the associations among these factors and further explore the mediating role of sleep disturbance in the association between depression and CVD.

Methods

This study included data from 29,831 adults (≥20 years old). Multifactorial logistic regression analyses were conducted to examine the relationships among depression, sleep disturbance, and CVD. Additionally, bootstrap tests were used to investigate whether the association between depression and CVD was mediated by sleep disturbance.

Results

Our research showed that individuals who experienced depression or sleep disturbance had a notably greater likelihood of developing CVD than those who did not have these issues (depression: OR: 2.21, 95% CI=1.96-2.49; sleep disturbance: OR: 1.74, 95% CI=1.6-1.9). Even after adjusting for potential confounders, depression was still positively associated with the risk of sleep disturbance (OR: 4.07, 95% CI=3.73-4.44). Furthermore, sleep disturbance significantly mediated the association between depression and CVD, with a mediating effect of 18.1%.

Conclusion

Our study demonstrated that depression, sleep disturbance, and CVD are interrelated. The increased risk of CVD among patients with depression may be attributed to the mediating role of sleep disturbance. This finding underscores the importance of interventions focused on sleep disturbances as a means to address the connection between depression and CVD.

A Mendelian randomization study of the effect of mental disorders on cardiovascular disease

Objective

The effect of mental disorders (MD) on cardiovascular disease (CVD) remains controversial, and this study aims to analyze the causal relationship between eight MD and CVD by Mendelian randomization (MR).

Methods

Single nucleotide polymorphisms of attention-deficit/hyperactivity disorder (ADHD), anorexia nervosa (AN), anxiety disorder (ANX), autism spectrum disorder (ASD), bipolar disorder (BD), depression, obsessive-compulsive disorder (OCD), schizophrenia (SCZ), and CVD were obtained from UK Biobank and FinnGen. Exposure-outcome causality was tested using inverse variance weighted (IVW), MR-Egger, and weighted median. Horizontal pleiotropy and heterogeneity were assessed by MR-Egger intercept and Cochran's Q, respectively, while stability of results was assessed by leave-one-out sensitivity analysis.

Results

MR analysis showed that ANX (IVW [odds ratio (OR) 1.11, 95% confidence intervals (CI) 1.07-1.15, p < 0.001]; MR-Egger [OR 1.03, 95% CI 0.92-1.14, p = 0.652]; weighted median [OR 1.09, 95% CI 1.03-1.14, p = 0.001]), ASD (IVW [OR 1.05, 95% CI 1.00-1.09, p = 0.039]; MR-Egger [OR 0.95, 95% CI 0.84-1.07, p = 0.411]; weighted median [OR 1.01, 95% CI 0.96-1.06, p = 0.805]), depression (IVW [OR 1.15, 95% CI 1.10-1.19, p < 0.001]; MR-Egger [OR 1.10, 95% CI 0.96-1.26, p = 0.169]; weighted median [OR 1.13, 95% CI 1.08-1.19, p < 0.001]) were significantly associated with increased risk of CVD, whereas ADHD, AN, BD, OCD, and SCZ were not significantly associated with CVD (p > 0.05). Intercept analysis showed no horizontal pleiotropy (p > 0.05). Cochran's Q showed no heterogeneity except for BD (p = 0.035). Sensitivity analysis suggested that these results were robust.

Conclusions

ANX, ASD, and depression are associated with an increased risk of CVD, whereas AN, ADHD, BD, OCD, and SCZ are not causally associated with CVD. Active prevention and treatment of ANX, ASD, and depression may help reduce the risk of CVD.

Depression Onset After a Spouse's Cardiovascular Event

Importance

Although cardiovascular disease (CVD) is a known risk factor for depression, evidence is lacking regarding whether and to what extent a spouse's CVD is associated with the subsequent mental health of individuals.

Objective

To examine the association between CVD onset in spouses and subsequent depression.

Design, Setting, and Participants

This cohort study examined 277 142 matched married couples enrolled in the Japan Health Insurance Association health insurance program between April 2015 and March 2022, covering approximately 40% of the working-age population in Japan. Index individuals (primary insured) whose spouses (dependent) experienced incident CVD between April 2016 and March 2022 were 1:1 matched to controls whose spouses did not experience CVD. Matching was based on age, sex, income, or the onset date of the spouses' CVD. Data analysis was conducted from April 2016 to March 2022.

Exposure

Spousal onset of CVD between fiscal years 2016 and 2021. The International Statistical Classification of Diseases and Related Health Problems, Tenth Revision codes were used to identify the composite CVD outcomes (stroke, heart failure, and myocardial infarction).

Main Outcomes and Measures

Multivariate Cox proportional hazards models were used to investigate the association between spouses' new-onset CVD and individuals' depression, adjusting for sociodemographic characteristics and comorbidities of index individuals (diabetes, hypertension, and CVD) and spouses (diabetes, hypertension, and depression). Subgroup analyses were conducted according to sex, age, income levels, and history of CVD.

Results

Among 277 142 matched pairs of married couples, 263 610 (95.1%) had a male index individual; the mean (SD) age of index individuals was 58.2 (10.2) years. A new onset of depression was observed in 4876 individuals (1.8%). In multivariable Cox models, there was an association between the spouse's CVD and the individuals' depression (hazard ratio, 1.13 [95% CI, 1.07-1.20]). The subgroup analysis found no evidence of heterogeneity in sex, age, income level, or CVD history. The results were consistent when additionally adjusted for health behaviors (smoking, alcohol consumption, physical activity, and use of antihypertensive drugs) and objectively measured physical health conditions (body mass index, blood pressure, cholesterol levels, glucose levels, and estimated glomerular filtration rate) (hazard ratio, 1.16 [95% CI, 1.06-1.28]).

Conclusions and Relevance

In this nationwide cohort study of matched couples, a spouse's onset of CVD was associated with an increased risk of an individual's depression. These findings highlight the importance of preventive care for mental health disorders in individuals whose spouses experience incident CVD.

Higher adherence to a Mediterranean-type diet is associated with reduced psychosocial stress levels in baby boomers: a cross-sectional study

BACKGROUND/OBJECTIVES

This study investigated the relationship between adherence to the Mediterranean diet among Korean baby boomers and their levels of psychosocial stress.

SUBJECTS/METHODS

The study included 1,656 adults (889 men and 797 women) born between 1955 and 1963 who participated in the 2005-2006 survey of the community-based Korean Genome and Epidemiology Study (KoGES). The Mediterranean-type diet score (MTDS) was calculated from the semi-quantitative food frequency questionnaire (SQFFQ) data. The psychosocial stress levels were calculated using the psychosocial well-being index-short form (PWI-SF). Logistic regression analyses were performed to analyze the association between the MTDS (tertiles) and the prevalence of high psychosocial stress by gender.

RESULTS

The ranges of the MTDS tertile groups were T1 (20-33 points), T2 (34-37 points), and T3 (38-39 points) for men, T1 (20-33 points), T2 (34-37 points), and T3 (38-48 points) for women. In both men and women, the consumption of whole grains, potatoes, fruits, vegetables, legumes, and fish increased with higher MTDS, while the consumption of red meat and dairy products decreased (P for trend < 0.05). As MTDS score increased the intake of energy, fiber, vitamins, and minerals (P for trend < 0.05). Men in the highest MTDS tertile had a 41% lower odds ratio (OR) of high psychosocial stress compared with those in the lowest tertile (OR, 0.59; 95% confidence interval [CI], 0.38-0.91). Similarly, women in the highest tertile of the MTDS had a 39% lower OR of high psychosocial stress compared with those in the lowest tertile (OR, 0.61; 95% CI, 0.40-0.95).

CONCLUSION

Promoting adherence to the Mediterranean diet among baby boomers may have a positive impact on reducing their levels of psychosocial stress.

Moderating Effect of Muscular Strength in the Association between Cardiovascular Events and Depressive Symptoms in Middle-Aged and Older Adults-A Cross Sectional Study

BACKGROUND

Depression and cardiovascular diseases are two main health conditions contributing to the global disease burden. Several studies indicate a reciprocal association between them. It is still unclear how changes in overall muscle strength may impact this association. This study aimed to analyse how muscular strength moderates the relationship between cardiovascular events and depressive symptoms among middle-aged and older adults.

METHODS

Wave 8 of the population-based Survey of Health, Ageing, and Retirement in Europe (2019/2020) cross-sectional data, which included 41,666 participants (17,986 men) with a mean age of 70.65 (9.1) years old, was examined. Grip strength was measured twice on each hand using a dynamometer. The 12-item EURO-D scale was employed to gauge depressive symptoms.

RESULTS

Grip strength negatively moderates the link between cardiovascular events and depressive symptoms (male: B = -0.03, 95% CI = -0.04, -0.03; female: B = -0.06, 95% CI = -0.06, -0.05). Additionally, the grip strength moderation values in the significant zone for males and females were less than 63.2 kg and 48.3 kg, respectively.

CONCLUSIONS

Muscular strength modifies depressive symptoms and lessens their correlation with cardiovascular diseases. Muscle-strengthening activities could be incorporated into primary and secondary preventive strategies to reduce the burden of depression in people with CVD.

Quality of Life in Metabolic Syndrome Patients Based on the Risk of Obstructive Sleep Apnea

Despite the impact of metabolic syndrome (MetS) and obstructive sleep apnea (OSA) on a sizeable proportion of the global population, the difference in the quality of life (QoL) between a group without risk factors for OSA and a group with risk factors for OSA among individuals with MetS is currently unclear. This study aimed to identify the determinants of QoL in patients with MetS with and without OSA risk factors and to analyze differences between these two groups. Data were extracted from the 2020 Korea National Health and Nutrition Examination Survey (KNHANES). The Rao-Scott χ2 test was performed to evaluate differences in baseline characteristics based on OSA risk factors. A t-test was performed to evaluate differences in the baseline QoL, and linear regression analysis was performed to identify the effect on the QoL of the two groups. The factors affecting QoL in the low-risk group included age, education level, and depression. The factors affecting QoL in the high-risk group were physical activity and depression. These results suggest that nursing interventions should be devised according to patients' characteristics to help improve their QoL.

Post-traumatic stress disorder as a risk factor for major adverse cardiovascular events: a cohort study of a South African medical insurance scheme

AIMS

Prior research, largely focused on US male veterans, indicates an increased risk of cardiovascular disease among individuals with post-traumatic stress disorder (PTSD). Data from other settings and populations are scarce. The objective of this study is to examine PTSD as a risk factor for incident major adverse cardiovascular events (MACEs) in South Africa.

METHODS

We analysed reimbursement claims (2011-2020) of a cohort of South African medical insurance scheme beneficiaries aged 18 years or older. We calculated adjusted hazard ratios (aHRs) for associations between PTSD and MACEs using Cox proportional hazard models and calculated the effect of PTSD on MACEs using longitudinal targeted maximum likelihood estimation.

RESULTS

We followed 1,009,113 beneficiaries over a median of 3.0 years (IQR 1.1-6.0). During follow-up, 12,662 (1.3%) persons were diagnosed with PTSD and 39,255 (3.9%) had a MACE. After adjustment for sex, HIV status, age, population group, substance use disorders, psychotic disorders, major depressive disorder, sleep disorders and the use of antipsychotic medication, PTSD was associated with a 16% increase in the risk of MACEs (aHR 1.16, 95% confidence interval (CI) 1.05-1.28). The risk ratio for the effect of PTSD on MACEs decreased from 1.59 (95% CI 1.49-1.68) after 1 year of follow-up to 1.14 (95% CI 1.11-1.16) after 8 years of follow-up.

CONCLUSION

Our study provides empirical support for an increased risk of MACEs in males and females with PTSD from a general population sample in South Africa. These findings highlight the importance of monitoring cardiovascular risk among individuals diagnosed with PTSD.

Adherence to a Mediterranean Diet Is Inversely Associated with Anxiety and Stress but Not Depression: A Cross-Sectional Analysis of Community-Dwelling Older Australians

Diet quality may be an important modifiable risk factor for mental health disorders. However, these findings have been inconsistent, particularly in older adults. We explored the independent associations between adherence to a Mediterranean diet (MedDiet) and severity of symptoms related to depression, anxiety and stress in older adults from Australia. This was a cross-sectional analysis of older Australians ≥ 60 years. MedDiet adherence was assessed using the Mediterranean Diet Adherence Screener (MEDAS), and the Depression, Anxiety and Stress Scale (DASS-21) was used to assess the severity of negative emotional symptoms. A total of n = 294 participants were included in the final analyses (70.4 ± 6.2 years). Adherence to a MedDiet was inversely associated with the severity of anxiety symptoms (β = -0.118; CI: -0.761, -0.012; p = 0.043) independent of age, gender, BMI, physical activity, sleep, cognitive risk and ability to perform activities of daily living. Furthermore, MedDiet adherence was inversely associated with symptoms of stress (β = -0.151; CI: -0.680, -0.073; p = 0.015) independent of age, gender, BMI, physical activity and sleep. However, no relationship between MedDiet adherence and depressive symptoms was observed. We showed that adherence to a MedDiet is inversely associated with the severity of symptoms related to anxiety and stress but not depression. Exploring these findings with the use of longitudinal analyses and robust clinical trials are needed to better elucidate these findings in older adults.

The relationship between depression based on patient health questionaire-9 and cardiovascular mortality in patients with hypertension

BACKGROUND

Depression and hypertension are increasingly prevalent in the U.S., with evidence suggesting significant comorbidity. Despite this, the specific relationship within the U.S. hypertensive population is underexplored. Our study investigates this link using data from the 2007-2014 NHANES database and mortality data from the National Death Index.

METHODS

A total of 8677 participants were included in this cohort study. Depression diagnosis was made based on the Patient Health Questionnaire-9. Hypertension was defined either through a self-reported previous diagnosis, current antihypertensive medication use, or blood pressure exceeding standard thresholds. Cardiovascular disease mortality was determined by mortality recorded with National Death Index on December 31, 2019. The cox proportional hazards regression method was applied to analyze the association of depression with cardiovascular mortality in hypertension.

RESULTS

During an average follow-up of 8.2 years, 599 deaths were confirmed from cardiovascular disease. The association of depression with cardiovascular mortality in hypertension was significantly positive (HR, 1.0263(95%CI = 1.0033, 1.0498), p = 0.0247). In addition, the risk of cardiovascular mortality increased gradually with the severity of depressive symptoms (p for trend =0.0259). This positive relationship was basically stable in different subgroup analyses and sensitivity analyses.

LIMITATIONS

The observational design of our study hinders establishment of a causal relationship. Potential bias due to subjective reporting and the absence of depression treatment data represent limitations, although their impact on the conclusions is deemed minimal.

CONCLUSIONS

Depression is associated with cardiovascular mortality risk in patients with hypertension. The worsening depressive symptoms, the higher risk of cardiovascular mortality.

AI-Enhanced Predictive Modeling for Identifying Depression and Delirium in Cardiovascular Patients Scheduled for Cardiac Surgery

Several studies have demonstrated a critical association between cardiovascular disease (CVD) and mental health, revealing that approximately one-third of individuals with CVD also experience depression. This comorbidity significantly increases the risk of cardiac complications and mortality, a risk that persists regardless of traditional factors. Addressing this issue, our study pioneers a straightforward, explainable, and data-driven pipeline for predicting depression in CVD patients.

METHODS

Our study was conducted at a cardiac surgical intensive care unit. A total of 224 participants who were scheduled for elective coronary artery bypass graft surgery (CABG) were enrolled in the study. Prior to surgery, each patient underwent psychiatric evaluation to identify major depressive disorder (MDD) based on the DSM-5 criteria. An advanced data curation workflow was applied to eliminate outliers and inconsistencies and improve data quality. An explainable AI-empowered pipeline was developed, where sophisticated machine learning techniques, including the AdaBoost, random forest, and XGBoost algorithms, were trained and tested on the curated data based on a stratified cross-validation approach.

RESULTS

Our findings identified a significant correlation between the biomarker "sRAGE" and depression (r = 0.32, p = 0.038). Among the applied models, the random forest classifier demonstrated superior accuracy in predicting depression, with notable scores in accuracy (0.62), sensitivity (0.71), specificity (0.53), and area under the curve (0.67).

CONCLUSIONS

This study provides compelling evidence that depression in CVD patients, particularly those with elevated "sRAGE" levels, can be predicted with a 62% accuracy rate. Our AI-driven approach offers a promising way for early identification and intervention, potentially revolutionizing care strategies in this vulnerable population.

Serum Vitamin Levels, Cardiovascular Disease Risk Factors, and Their Association with Depression in Korean Women: A Cross-Sectional Study of a Nationally Representative Sample

Background and Objectives: Serum vitamin levels, cardiovascular disease risk factors, and their association with depression is a complex issue that has been the subject of much research. Therefore, we investigated the relationship between vitamin A, B9, and E levels, cardiovascular risk factors, and depression in premenopausal and menopausal South Korean women. Materials and Methods: This cross-sectional study used the 2016-2018 Korea National Health and Nutrition Examination Survey data. Depression was assessed using a questionnaire to check for symptoms of depression or the Patient Health Questionnaire-9. Blood samples were collected from the antecubital vein in the morning after an overnight fast. Covariates were defined as self-reported physician diagnoses. Well-trained medical staff performed the standard procedures. Statistical analysis was performed using the complex sample analysis method of SPSS, using two separate logistic regression models (model 1: adjusted for age; model 2: adjusted for age, marital status, smoking, and alcohol consumption). Results: A total of 3313 women aged over 20 years were enrolled. The association between vitamin A levels and depression was as follows: lower levels of vitamin A were associated with an increased risk of depression in premenopausal women in model 1 and model 2. The levels of serum vitamins E and B9 were not correlated with depression in premenopausal and postmenopausal women. In the premenopausal group, depression increased in the obesity (model 1: p = 0.037; model 2: p = 0.047) and diabetes mellitus (model 1: p = 0.010; model 2: p = 0.009) groups. The menopausal group with depression had higher rates of stroke (model 1: p = 0.017; model 2: p = 0.039) and myocardial infarction (model 1: p = 0.004; model 2: p = 0.008) than the group without depression. Conclusions: Depression is correlated with lower blood levels of vitamin A in premenopausal women. Vitamin B9 and E levels were not associated with depression independent of menopausal status. Depression is associated with obesity and diabetes mellitus in premenopausal women and with stroke and myocardial infarction in postmenopausal women.

How can we improve the care of patients with schizophrenia in the real-world? A population-based cohort study of 456,003 patients

An important step to improve outcomes for patients with schizophrenia is to understand treatment patterns in routine practice. The aim of the current study was to describe the long-term management of patients with schizophrenia treated with antipsychotics (APs) in real-world practice. This population-based study included adults with schizophrenia and who had received ≥3 deliveries of an AP from 2012-2017, identified using a National Health Data System. Primary endpoints were real-life prescription patterns, patient characteristics, healthcare utilization, comorbidities and mortality. Of the 456,003 patients included, 96% received oral APs, 17.5% first-generation long-acting injectable APs (LAIs), and 16.1% second generation LAIs. Persistence rates at 24 months after treatment initiation were 23.9% (oral APs), 11.5% (first-generation LAIs) and 20.8% (second-generation LAIs). Median persistence of oral APs, first-generation LAIs and second-generation LAIs was 5.0, 3.3, and 6.1 months, respectively. Overall, 62.1% of patients were administered anxiolytics, 45.7% antidepressants and 28.5% anticonvulsants, these treatments being more frequently prescribed in women and patients aged ≥50 years. Dyslipidemia was the most frequent metabolic comorbidity (16.2%) but lipid monitoring was insufficient (median of one occasion). Metabolic comorbidities were more frequent in women. Standardized patient mortality remained consistently high between 2013 and 2015 (3.3-3.7 times higher than the general French population) with a loss of life expectancy of 17 years for men and 8 years for women. Cancer (20.2%) and cardiovascular diseases (17.2%) were the main causes of mortality, and suicide was responsible for 25.4% of deaths among 18-34-year-olds. These results highlight future priorities for care of schizophrenia patients. The global persistence of APs used in this population was low, whereas rates of psychiatric hospitalization remain high. More focus on specific populations is needed, such as patients aged >50 years to prevent metabolic disturbances and 18-34-year-olds to reduce suicide rates.

Association of Depression and Adherence to Oral Anticoagulation in Patients With Atrial Fibrillation

BACKGROUND

Adherence to oral anticoagulation is essential for stroke prevention in atrial fibrillation (AF). Depression has been associated with decreased adherence to medications in multiple disease states and in AF is further associated with increased risk of stroke. We hypothesized that individuals with depression and AF have decreased adherence to anticoagulation than those without depression.

METHODS AND RESULTS

We used administrative claims data to identify individuals with AF initiating anticoagulation with direct-acting oral anticoagulants (DOACs) or warfarin between 2013 and 2019. We quantified adherence using proportion of days covered, categorized as limited (proportion of days covered, <80%), adequate (proportion of days covered, ≥80% to <90%), or optimal (proportion of days covered, ≥90%). We related depression to 12-month adherence to anticoagulation in logistic regression models, adjusting for demographics, medical and psychiatric comorbidities, household income, educational attainment, and insurance type. As a secondary analysis, we determined the association of depression to adherence for each DOAC agent. We identified 101 041 individuals (aged 74.5±8.9 years; 50.6% women; 29.5% race or ethnicity other than White, including Asian or Black race and Hispanic ethnicity) who initiated either DOACs or warfarin. The odds of adequate adherence to DOACs was 11% (95% CI, 0.85-0.93), and the odds of optimal adherence was 12% (95% CI, 0.83-0.91) less in individuals with depression than those without. Depression was not associated with adherence to warfarin.

CONCLUSIONS

We identified an association between depression and decreased adherence to DOACs but not warfarin in individuals with AF. Recognizing depression in AF may guide interventions to improve anticoagulation adherence and reduce stroke risk.

The psychological legacy of past obesity and early mortality: evidence from two longitudinal studies

BACKGROUND

We test a novel 'weight scarring' hypothesis which suggests that past obesity is associated with impairments in current psychological well-being and this increases risk of negative physical health outcomes associated with obesity. Across two nationally representative studies, we tested whether past obesity is associated with current psychological outcomes and whether these psychological outcomes explain the association between past obesity and subsequent early mortality.

METHODS

Data were from the National Health and Nutrition Examination Survey (NHANES) (n = 29,047) and the Health and Retirement Study (HRS) (n = 11,998). Past obesity was defined based on maximum lifetime weight in NHANES and the highest weight from past study waves in the HRS. Across both studies, current depressive symptoms were analysed. A set of 10 additional well-being measures were combined to produce an 'index of impaired well-being' in HRS. Subsequent all-cause mortality was examined using National Deaths Index records in NHANES and household interviews in HRS. Linear or logistic regression, Cox proportional hazard regression, and causal mediation models were used.

RESULTS

We found that past obesity was associated with greater current depressive symptoms after controlling for current weight status and in analyses limited to those who were no longer classified as having obesity in NHANES (β = 0.17; 95% CI: 0.13, 0.22) and HRS (β = 0.20; 95% CI: 0.08, 0.31). In HRS, past obesity was also associated with a range of current negative psychological outcomes, including an index of impaired psychological well-being (β = 0.16; 95% CI: 0.05, 0.27). Past obesity was associated with a higher risk of early mortality in both NHANES and HRS (HR = 1.31; 95% CI: 1.16, 1.48 and HR = 1.34; 95% CI: 1.20, 1.50, respectively). Depressive symptoms explained 6% (95% CI: 0.01, 0.10) and 5% (95% CI: 0.01, 0.09) of the association between past obesity and premature mortality in NHANES and HRS, respectively. Impaired psychological well-being partly mediated the association between past obesity and premature mortality by 10% (95% CI: 0.04, 0.16) in HRS.

CONCLUSIONS

Our findings suggest that there may be a psychological legacy of past obesity that is associated with raised mortality risk. Ensuring people with obesity receive psychological support even after experiencing weight loss may be important.

Relationships between cardiovascular disease risk, neuropathic pain, mental health, and autonomic function in chronic spinal cord injury

STUDY DESIGN

Multicentre, cross-sectional study.

OBJECTIVES

To determine if clinical measures of poor mental health (MH-) and neuropathic pain (NP) are related to increased CVD risk in individuals with chronic spinal cord injury (SCI), and further elucidate the relationships between CVD risk, autonomic function, NP, and MH-.

SETTING

Eight SCI rehabilitation centres in the Netherlands.

METHODS

Individuals (n = 257) with a traumatic, chronic (≥10 yrs) SCI, with age at injury between 18-35 years, completed a self-report questionnaire and a one-day visit to a rehabilitation centre for testing. CVD risk was calculated using Framingham risk score. NP was inferred using The Douleur Neuropathique 4 clinical examination, and MH- was assessed using the five-item Mental Health Inventory questionnaire. Cardiovascular autonomic function was determined from peak heart rate during maximal exercise (HRpeak).

RESULTS

There was a high prevalence of both NP (39%) and MH- (45%) following SCI. MH- was significantly correlated with an adverse CVD risk profile (r = 0.174; p = 0.01), increased the odds of adverse 30-year CVD risk by 2.2 (CI 0.92-2.81, p = 0.02), and is an important variable in determining CVD risk (importance=0.74, p = 0.05). Females (p = 0.05) and those with a higher HRpeak (p = 0.046) tended to be more likely to have NP.

CONCLUSIONS

Clinical measures of MH-, but not NP, are important factors for increased CVD risk following SCI. NP tended to be more prevalent in those with more preserved cardiovascular autonomic function. The interrelationships between secondary consequences of SCI are complex and need further exploration.

Mediation of the Association Between Vascular Risk Factors and Depressive Symptoms by C-Reactive Protein

Background

This study examined whether C-reactive protein (CRP), a marker of low-grade systemic inflammation, mediates the association between vascular risk factor (VRF) burden and depressive symptoms.

Methods

We drew on the prospective design of the UK Biobank to include participants with longitudinal data on VRF burden, CRP, and depressive symptoms. Total, direct, and indirect effects were estimated using regression-based mediation models while controlling for confounding by sociodemographic factors, baseline CRP, and baseline depression. Sensitivity analyses probed the robustness of results to unmeasured confounding.

Results

We analyzed data from 10,470 participants from the UK Biobank (mean age = 56.75 years at baseline). Net of covariates, VRFs at baseline were associated with higher depressive symptoms at follow-up (total effect = 0.099; 95% CI, 0.002-0.163). CRP mediated this association (indirect effect = 0.010; 95% CI, 0.004-0.017), accounting for 10.0% (95% CI, 0.3%-30.0%) of the total effect of VRF burden on depressive symptoms. Exploratory analyses suggested that the total and indirect effects pertained to somatic depressive symptoms (tiredness and appetite).

Conclusions

These results suggest that inflammation-promoting effects of VRFs may contribute to depressive symptoms in mid- and later life. However, the mediating pathway via CRP explains only a small part of the association between VRFs and depression after accounting for important covariates and may pertain to specific depressive symptoms. Future studies leveraging similar longitudinal designs are needed to further disentangle the time-varying effects between VRFs, inflammation, and certain depressive symptoms while addressing important confounders.

Association of Depression and Cardiovascular Disease

BACKGROUND

Cardiovascular disease remains the leading worldwide cause of mortality. There has been increased awareness of the impact of psychological health on cardiovascular disease. In particular, major depression has been linked to increased all-cause mortality, development of cardiovascular disease, and worse outcomes in those with existing cardiovascular disease.

METHODS

We conducted a meta-analysis assessing the incidence of cardiovascular disease and cardiovascular disease outcomes among those with major depressive disorder.

RESULTS

Among 26 studies of 1,957,621 individuals, depression was associated with increased risk of incident stroke (hazard ratio [HR] 1.13; 95% confidence interval [CI], 1.00-1.28), myocardial infarction (HR 1.28; 95% CI, 1.14-1.45), congestive heart failure (HR 1.04; 95% CI, 1.00-1.09), or any cardiovascular disease (HR 1.16; 95% CI, 1.04-1.30). Depression was associated with increased risk of all-cause mortality (HR 1.43; 95% CI, 1.27-1.60), cardiovascular disease mortality (HR 1.44; 95% CI, 1.27-1.63), and congestive heart failure mortality (HR 3.20; 95% CI, 1.29-7.94).

CONCLUSION

Depression has a significant negative impact on development of cardiovascular disease and on cardiovascular disease outcomes. Further efforts to understand and mitigate these impacts are prudent.

Effect of collaborative care intervention on productivity losses among people with comorbid common mental disorders and cardiovascular disease in rural Karnataka

Introduction

Common mental disorders (CMD) and cardiovascular diseases (CVD), common health problems among patients seeking primary healthcare, contribute to high economic productivity losses. Collaborative care programs for CMDs and CVDs have shown improvement in clinical outcomes for both conditions; however, data on productivity outcomes are scarce. Objective: Effect of integrated collaborative care on productivity among people with comorbid CMD and CVD in rural Karnataka primary health clinics.

Methods

Participants were recruited within a randomized trial in rural South India, where patients received either collaborative or enhanced standard care. In this substudy, 303 participants were followed for 3 months and assessed with the iMTA Productivity Cost Questionnaire (iPCQ).

Results

We found a reduction in the proportion of individuals reporting productivity loss at 3 months (66%) compared to baseline (76%; P = 0.002). Productivity losses decreased from INR 30.3 per person per day at baseline to 17.7 at 3 months. Reductions were similar in the two treatment conditions.

Conclusion

Medical intervention may foster reduced productivity losses among patients with CMD and CVD. Collaborative care did not translate into higher reductions in productivity losses than "enhanced standard care."

Aging and Vascular Disease: A Multidisciplinary Overview

Vascular aging, i.e., the deterioration of the structure and function of the arteries over the life course, predicts cardiovascular events and mortality. Vascular degeneration can be recognized before becoming clinically symptomatic; therefore, its assessment allows the early identification of individuals at risk. This opens the possibility of minimizing disease progression. To review these issues, a search was completed using PubMed, MEDLINE, and Google Scholar from 2000 to date. As a network of clinicians and scientists involved in vascular medicine, we here describe the structural and functional age-dependent alterations of the arteries, the clinical tools for an early diagnosis of vascular aging, and the cellular and molecular events implicated. It emerges that more studies are necessary to identify the best strategy to quantify vascular aging, and to design proper physical activity programs, nutritional and pharmacological strategies, as well as social interventions to prevent, delay, and eventually revert the disease.

Cardiometabolic multimorbidity and associated patterns of healthcare utilization and quality of life: Results from the Study on Global AGEing and Adult Health (SAGE) Wave 2 in Ghana

Understanding the patterns of multimorbidity, defined as the co-occurrence of more than one chronic condition, is important for planning health system capacity and response. This study assessed the association of different cardiometabolic multimorbidity combinations with healthcare utilization and quality of life (QoL). Data were from the World Health Organization (WHO) study on global AGEing and adult health Wave 2 (2015) conducted in Ghana. We analysed the clustering of cardiometabolic diseases including angina, stroke, type 2 diabetes, and hypertension with unrelated conditions such as asthma, chronic lung disease, arthritis, cataract and depression. The clusters of adults with cardiometabolic multimorbidity were identified using latent class analysis and agglomerative hierarchical clustering algorithms. We used negative binomial regression to determine the association of multimorbidity combinations with outpatient visits. The association of multimorbidity clusters with hospitalization and QoL were assessed using multivariable logistic and linear regressions. Data from 3,128 adults aged over 50 years were analysed. We identified four distinct classes of multimorbidity: relatively "healthy class" with no multimorbidity (47.9%): abdominal obesity only (40.7%): cardiometabolic and arthritis class comprising participants with hypertension, type 2 diabetes, stroke, abdominal and general obesity, arthritis and cataract (5.7%); and cardiopulmonary and depression class including participants with angina, chronic lung disease, asthma, and depression (5.7%). Relative to the class with no multimorbidity, the cardiopulmonary and depression class was associated with a higher frequency of outpatient visits [β = 0.3; 95% CI 0.1 to 0.6] and higher odds of hospitalization [aOR = 1.9; 95% CI 1.0 to 3.7]. However, cardiometabolic and arthritis class was associated with a higher frequency of outpatient visits [β = 0.8; 95% CI 0.3 to 1.2] and not hospitalization [aOR = 1.1; 95% CI 0.5 to 2.9]. The mean QoL scores was lowest among participants in the cardiopulmonary and depression class [β = -4.8; 95% CI -7.3 to -2.3] followed by the cardiometabolic and arthritis class [β = -3.9; 95% CI -6.4 to -1.4]. Our findings show that cardiometabolic multimorbidity among older persons in Ghana cluster together in distinct patterns that differ in healthcare utilization. This evidence may be used in healthcare planning to optimize treatment and care.

Depressive symptoms predict the incidence of common chronic diseases in women and men in a representative community sample

BACKGROUND

Depression, the most frequent and harmful mental disorder, has been associated with specific somatic diseases as the leading cause of death. The purposes of this prospective study were to predict incident chronic diseases based on baseline depressive symptoms and to test sex-dependent effects.

METHODS

In a representative German community sample of over 12 000 participants, baseline depressive symptoms (assessed using the Patient Health Questionnaire-9) were tested as a predictor of new onset of cardiovascular disease (CVD), chronic obstructive lung disease, diabetes, cancer, and migraine at 5-year follow-up. To study disease incidence, we created subsamples for each chronic disease by excluding participants who already had the respective disease at baseline. Potential confounders were included in logistic regression models and sex-specific analyses were performed.

RESULTS

Controlling for demographic characteristics and loneliness, in men and women, baseline depressive symptoms were predictive of CVD, chronic obstructive lung disease, diabetes, and migraine, but not of cancer. When we additionally adjusted for metabolic and lifestyle risk factors, there was an 8% increase of chronic obstructive lung disease and migraine per point of depressive symptoms. There was a trend for CVD (4%; p = 0.053). Sex-sensitive analyses revealed trends for the relevance of depressive symptoms for CVD in men (p = 0.065), and for diabetes in women (p = 0.077).

CONCLUSIONS

These findings underscore the need to implement screening for depression in the treatment of major somatic illnesses. At the same time, depressed patients should be screened for metabolic and lifestyle risk factors and for somatic diseases and offered lifestyle interventions.

Celecoxib for Mood Disorders: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

The effects of celecoxib on a broad spectrum of mood disorders and on inflammatory parameters have not yet been comprehensively evaluated. The aim of this study was to systematically summarize the available knowledge on this topic. Data from both preclinical and clinical studies were analyzed, considering the efficacy and safety of celecoxib in the treatment of mood disorders, as well as the correlation of inflammatory parameters with the effect of celecoxib treatment. Forty-four studies were included. We found evidence supporting the antidepressant efficacy of celecoxib in a dose of 400 mg/day used for 6 weeks as an add-on treatment in major depression (SMD = -1.12 [95%Cl: -1.71,-0.52], p = 0.0002) and mania (SMD = -0.82 [95% CI:-1.62,-0.01], p = 0.05). The antidepressant efficacy of celecoxib in the above dosage used as sole treatment was also confirmed in depressed patients with somatic comorbidity (SMD = -1.35 [95% CI:-1.95,-0.75], p < 0.0001). We found no conclusive evidence for the effectiveness of celecoxib in bipolar depression. Celecoxib at a dose of 400 mg/d used for up to 12 weeks appeared to be a safe treatment in patients with mood disorders. Although an association between celecoxib response and inflammatory parameters has been found in preclinical studies, this has not been confirmed in clinical trials. Further studies are needed to evaluate the efficacy of celecoxib in bipolar depression, as well as long-term studies evaluating the safety and efficacy of celecoxib in recurrent mood disorders, studies involving treatment-resistant populations, and assessing the association of celecoxib treatment with inflammatory markers.