Associations between depression and cardiometabolic health: A 27-year longitudinal study

Psychotropic medications and mortality from cardiovascular disease and suicide for individuals with depression in Taiwan

BACKGROUND

Polypharmacy for treatment of depression has been increasing in Taiwan.

METHODS

Individuals having depressive disorders were identified in a national database for healthcare services and followed up for 5 years. The mean dosage of antidepressants, antipsychotics, mood stabilizers, and sedative-hypnotics was calculated; the associations between the exposure dosage to different psychotropic medications and patients' overall death and death due to cardiovascular diseases (CVD) and suicide were examined.

RESULTS

A total of 400,042 individuals with depressive disorders (63.8% women) were identified. Compared with those with no exposure to antidepressants, patients prescribed antidepressants had decreased mortality. Use of antipsychotics had a dose-related increase in overall mortality risk compared to no exposure group. Contrarily, depressed patients taking sedative-hypnotics had decreased overall and CVD mortality compared to no exposure group, with the most prominent decrease in CVD mortality of up to 54.9% for those in the moderate exposure group (hazard ratio: 0.451, 95% confidence interval: 0.405-0.503). A moderate or high dose of antidepressants or sedative-hypnotics was shown to be associated with a significantly increased mortality for suicide compared to those with no exposure.

CONCLUSIONS

Antidepressant and sedative-hypnotic use was associated with decreased all-cause and CVD-related mortality and use of antipsychotics was associated with a dose-related increase in mortality risk. Future studies are needed to further clarify the involved mechanisms and benefits and risks should be carefully weighed when prescribing psychotropic medications in patients with depressive disorders.

Causal relationship between depression and hypercholesterolemia: A bidirectional 2-sample Mendelian randomization study

Although observational studies have found both a positive and negative association between depression and hypercholesterolemia, the findings are mixed and contradictory. To our knowledge, this is the first study that employs the bidirectional Mendelian randomization (MR) and multivariable MR analysis with extensive genome-wide association studies (GWAS) data to examine the causal effect between depression and hypercholesterolemia. Using summary statistics obtained from GWAS of individuals with European ancestry, we utilize a bidirectional 2-sample MR approach to explore the potential causal association between hypercholesterolemia and depressive symptoms. Multivariable Mendelian randomization analysis was used to examine whether the direct causal effect of depression on the risk of hypercholesterolemia can be affected by traits associated with the increased risk of hypercholesterolemia. This MR analysis utilized inverse variance weighted (IVW), MR-Egger regression, weighted mode, and weighted median methods. Data on the summary level of depression were acquired from a GWAS that involved 500,199 participants. We used summary GWAS datasets for hypercholesterolemia including 206,067 participants. We also used another GWAS databases of hypercholesterolemiat (n = 463,010) to validate our results. By utilizing IVW, it was discovered that there is a possibility of a 31% rise in the risk of hypercholesterolemia due to depression (OR = 1.31, 95% CI = 1.10-1.57, P = .002). We found a consistent causal effect of depression on hypercholesterolemia from the IVW analyses using different hypercholesterolemia datasets. After adjustment of smoking, physical activity, and obesity, there remains significant causal relationship between depression and hypercholesterolemia (OR = 1.25, 95% CI = 1.01-1.54, P = .040). However, we did not find any evidence indicating that hypercholesterolemia leads to depression in the opposite direction. Directional pleiotropy was not observed in the MR-Egger regression analysis. Additionally, the MR-PRESSO analysis validated these discoveries. Neither the leave-one-out sensitivity test nor the funnel plots revealed any outliers. In both the unadjusted and adjusted estimates, depression has a consistent direct causal effect on hypercholesterolemia. Our study has led to an improved comprehension of the causal connections between hypercholesterolemia and depression, which could aid in the prevention and treatment of hypercholesterolemia.

Heartache and Heartbreak: An Observational and Mendelian Randomization Study

Background

Depression has a significant effect on cardiovascular disease (CVD), but uncertainties persist regarding which modifiable risk factors mediate the causal effects. We aim to determine whether depression is causally linked to CVD and which modifiable risk factors play potential mediating roles.

Methods

We used a two-sample Mendelian randomization (MR) approach and NHANES 2007-2018 data to estimate the effects of depression on various CVD cases and investigated 28 potential mediators of the association between depression and CVD.

Results

The results of our MR analysis indicated that genetically determined depression was associated with increased risk of several CVD, including coronary heart disease (odds ratio (OR) = 1.14; 95% confidence interval (CI): 1.05,1.22), myocardial infarction (OR = 1.19; 95% CI, 1.09,1.31), atrial fibrillation (OR = 1.14; 95% CI, 1.06,1.22), and stroke (OR = 1.13; 95% CI, 1.05,1.22). However, there was no causal association between depression and heart failure. Four out of 28 cardiometabolic risk factors, including hyperlipidemia, hypertension, diabetes, and prescription opioid use, were identified as mediators of the association between depression and various CVDs. Observational association analyses from NHANES data yielded consistent results.

Conclusion

Our findings demonstrated that depression has a causal detrimental effect on various CVDs. Four causal mediators (hyperlipidemia, hypertension, diabetes, and prescription opioid use) were screened to explain the causal effect. Implementing targeted management strategies for these risk factors may be warranted to mitigate the public health burden of CVD among individuals with depression.

The Severity of Depressive Symptoms as an Independent Predictor of Sustained Virological Response During Treatment of Hepatitis C With Pegylated Interferon-α2a and Oral Ribavirin

BACKGROUND

Sustained virological response (SVR) is the best indicator of successful therapy for hepatitis C virus (HCV) infection. Patients with chronic HCV infection treated with pegylated interferon-α and ribavirin (PEG-IFN-α/RBV) can achieve SVR 56% of the time.

OBJECTIVES

This study aimed to evaluate baseline predictors of SVR in patients treated with PEG-IFN-α/RBV for HCV chronic infection.

METHODS

A total of 101 patients receiving PEG-IFN-α/RBV for chronic HCV infection participated in the prospective cohort study. Symptoms of depression were assessed with the Montgomery-Åsberg Depression Rating Scale (MADRS) before the treatment. The multivariate regression analysis was applied to determine predictors of SVR.

RESULTS

Of a total of 101 patients included, 99 patients reached the primary end point-24 weeks after completing treatment. After the initial analysis of probable predictive variables, the logistic analysis included age, sex, HCV genetic type, and MADRS score. The HCV genotype (odds ratio = 0.22 [confidence interval = 0.073-0.68, p = .008) and MADRS score (OR = 0.88 [confidence interval = 0.80-0.98), p = .013]) predicted an SVR outcome.

CONCLUSIONS

The severity of depressive symptoms before treatment and HCV genotype are independent predictors of SVR.

The association between depression during perimenopause and progression of chronic conditions and multimorbidity: results from a Chinese prospective cohort

PURPOSE

The association between perimenopausal depression and many chronic conditions among women has been well-established. However, the role of depression during perimenopause in the progression of multiple chronic conditions (multimorbidity) remains poorly understood.

MATERIAL AND METHODS

A total of 1,216 community-dwelling women in their perimenopause period between 2010 and 2016 were enrolled in our analysis, and followed up for the progression of multimorbidity. Depression, as well as its severity, was evaluated by the Center for Epidemiologic Studies Depression 10-item scale (CES-D-10). Progression of multimorbidity was defined as the first report of two or more chronic conditions for participants without multimorbidity or the new report of one or more conditions for those with multimorbidity. Univariable and multivariable Cox proportional hazards model and the restricted cubic spline regression model were performed to assess the prospective association between perimenopausal depression and the progression of multimorbidity.

RESULTS

A total of 480 (39.5%) women reported depression during perimenopause, and 529 (43.5%) women progressed to multimorbidity. After adjusting for socio-demographic and lifestyle factors, perimenopausal depression was independently associated with the progression of multimorbidity (hazard ratio [HR]: 1.34; 95% confidence interval [CI]: 1.13 to 1.60). Moreover, the severity of depression was positively and linearly associated with the progression of multimorbidity (P < 0.05).

CONCLUSIONS

Our finding reveals a prospective association between perimenopausal depression and the progression of multimorbidity, indicating interventions targeting perimenopausal depression may reduce the burden of chronic diseases and multimorbidity in women's post-menopausal life.

Exposure to psychotropic medications and mortality in schizophrenia: a 5-year national cohort study

BACKGROUND

Relatively few studies have explored the differential contributions of the accumulative dosage of psychotropic medications on mortality in patients with schizophrenia.

METHODS

We aimed to explore the effects of the exposure dosage of psychotropic medications on mortality during a follow-up period of 5 years with a national cohort of individuals with schizophrenia in 2010. Causes of death were linked through Taiwan's National Mortality Registry. The mean defined daily dose of antipsychotics, antidepressants, mood stabilizers, and sedative-hypnotics, were calculated and survival analyses were conducted.

RESULTS

A total of 102 964 individuals (54 151 men, 52.59%) with schizophrenia were included. Compared to patients with no exposure to antipsychotics, those with antipsychotic exposure had better survival outcomes, regardless of antipsychotic dosage. Antidepressant exposure, in low and moderate dosage, was associated with decreased all-cause mortality; exposure to mood stabilizers appeared to be associated with an increase in all-cause mortality. Although 89.7% of the patients had been prescribed sedative-hypnotics, exposure to sedative-hypnotics was associated with dose-related increased mortality risk [hazard ratio (HR) in low dose group: 1.16, 95% confidence interval (CI) 1.07-1.27; HR in moderate dose: 1.32, 95% CI 1.21-1.44; HR in high dose: 1.83, 95% CI 1.67-2.01)].

CONCLUSIONS

The results indicate that in the treatment of schizophrenia, antipsychotics and antidepressants are associated with lower mortality when using adequate dosages and mood stabilizers and sedative-hypnotics with higher mortality compared with no use. Furthermore, exposure to sedative-hypnotics is associated with a dose-related increased mortality risk which warrants clinical attention and further study.

Associations between mortality and exposure to psychotropic medication: A population-based cohort study for depressive disorders

BACKGROUND

Use of antidepressants and antipsychotics to treat depressive disorders is becoming increasingly prevalent.

METHODS

This study investigated how the use and cumulative dosage of these medications affect the mortality risk in a Taiwan's national cohort of individuals ages 15 years and older who were diagnosed with depressive disorders in 2010 and followed up for 5 years. An age- and gender-matched control group was identified. The mean defined daily doses of antidepressants and antipsychotics were calculated, and survival analyses were conducted to examine the effects of exposure dosage on overall mortality and mortality due to cardiovascular diseases, in comparison with the control sample.

RESULTS

A total of 400,042 individuals (255,288 women; 63.8%) with depressive disorders were identified. A low-to-moderate dosage of antidepressants was associated with a decrease in cardiovascular disease-related mortality risks compared to no exposure for those with depressive disorders. By contrast, a dose-related increase was found when using antipsychotics, with a 1.6-, 2.4- and 2.9-fold risk in the low, moderate and high exposure groups, respectively, for overall mortality, and a 1.2-, 2.4- and 3.5-fold risk in the low, moderate and high exposure groups, respectively, for cardiovascular disease-related mortality, relative to the control sample.

CONCLUSION

For individuals with depression, use of low-to-moderate dosage antidepressants was associated with decreased mortality. However, use of antipsychotics was found to be associated with a dose-related increase in overall and cardiovascular disease-related mortality risks. Adverse health outcomes should be also considered when prescribing psychotropic medications to patients with depressive disorders.

Incidence of cardiometabolic outcomes among people living with HIV-1 initiated on integrase strand transfer inhibitor versus non-integrase strand transfer inhibitor antiretroviral therapies: a retrospective analysis of insurance claims in the United States

INTRODUCTION

Integrase strand transfer inhibitor (INSTI)-containing antiretroviral therapy (ART) has been associated with weight gain, though there is limited information on associations between ART-related weight gain and cardiometabolic outcomes among people living with HIV-1 (PLWH). We, therefore, evaluated risks of incident cardiometabolic outcomes following INSTI versus non-INSTI-based ART initiation in the United States.

METHODS

We conducted a retrospective study using IBM MarketScan Research Databases (12 August 2012-31 January 2021). Treatment-naïve PLWH initiating ART (index date) on/after 12 August 2013 (approval date of the first second-generation INSTI, dolutegravir) were included and censored at regimen switch/discontinuation, end of insurance eligibility or end of data availability. We used inverse probability of treatment weights constructed with baseline (12 months pre-index) characteristics to account for differences between INSTI- and non-INSTI-initiating cohorts. Doubly robust hazard ratios (HRs) obtained from weighted multivariable Cox regression were used to compare time to incident cardiometabolic outcomes (congestive heart failure [CHF], coronary artery disease, myocardial infarction, stroke/transient ischemic attack, hypertension, type II diabetes, lipid disorders, lipodystrophy and metabolic syndrome) by INSTI-initiation status.

RESULTS

Weighted INSTI (mean age = 39 years, 23% female, 70% commercially insured, 30% Medicaid insured) and non-INSTI (mean age = 39 years, 24% female, 71% commercially insured, 29% Medicaid insured) cohorts included 7059 and 7017 PLWH, respectively. The most common INSTI-containing regimens were elvitegravir-based (43.4%), dolutegravir-based (33.3%) and bictegravir-based (18.4%); the most common non-INSTI-containing regimens were darunavir-based (31.5%), rilpivirine-based (30.4%) and efavirenz-based (28.3%). Mean±standard deviation follow-up periods were 1.5±1.5 and 1.1±1.2 years in INSTI- and non-INSTI-initiating cohorts, respectively. INSTI initiators were at a clinically and significantly increased risk of experiencing incident CHF (HR = 2.12, 95% confidence interval [CI] = 1.08-4.05; p = 0.036), myocardial infarction (HR = 1.79, 95% CI = 1.03-5.65; p = 0.036) and lipid disorders (HR = 1.26, 95% CI = 1.04-1.58; p = 0.020); there was no evidence of an increased risk for other individual or composite outcomes.

CONCLUSIONS

Over a short average follow-up period of <2 years, INSTI use among treatment-naïve PLWH was associated with an increased risk of several cardiometabolic outcomes, such as CHF, myocardial infarction and lipid disorders, compared to non-INSTI use. Further research accounting for additional potential confounders and with longer follow-up is warranted to more accurately and precisely quantify the impact of INSTI-containing ART on long-term cardiometabolic outcomes.

Depression and Sexual Stigma Are Associated With Cardiometabolic Risk Among Sexual and Gender Minorities Living With HIV in Nigeria

BACKGROUND

People living with HIV are vulnerable to cardiometabolic diseases. We assessed the prevalence of cardiometabolic risk factors (CMRF) and associations with sexual stigma and depression among sexual and gender minorities (SGM) in Abuja and Lagos, Nigeria.

METHODS

The TRUST/RV368 study enrolled SGM between March 2013 and February 2020. Participants were assessed for depression, sexual stigma, and CMRF. Robust multinomial logistic regression was used to estimate adjusted odds ratio (aORs) and 95% confidence intervals (CIs) for associations of depression, sexual stigma, and other factors with increasing numbers of CMRF.

RESULTS

Among 761 SGM, the mean age was 25.0 ± 6.0 years; 580 (76%) identified as cisgender men, 641 (84%) had ≥1 CMRF, 355 (47%) had mild-severe depression, and 405 (53%) reported moderate-high sexual stigma. Compared with individuals without depression, those with mild (aOR 8.28; 95% CI: 4.18 to 16.40) or moderate-severe depression (aOR 41.69; 95% CI: 9.60 to 181.04) were more likely to have 3-5 CMRF. Individuals with medium (aOR 3.17; 95% CI: 1.79 to 5.61) and high sexual stigma (aOR 14.42; 95% CI: 2.88 to 72.29) compared with those with low sexual stigma were more likely to have 3-5 CMRF. Participants age 25-34 years were less likely to have 3-5 CMRF (aOR 0.41; 95% CI: 0.23 to 0.73) compared with participants age younger than 25 years.

CONCLUSION

CMRF increased with severity of depression and sexual stigma, potentially predisposing SGM living with HIV to cardiometabolic diseases. Integrating interventions that address depression and sexual stigma in HIV care programs for SGM may improve cardiometabolic outcomes.

Association between level of depression and coronary heart disease, stroke risk and all-cause and cardiovascular mortality: Data from the 2005-2018 National Health and Nutrition Examination Survey

Research on the association between level of depression and coronary heart disease (CHD), stroke risk, and all-cause and cardiovascular mortality is lacking in large-scale or population-based studies incorporating cardiovascular disease (CVD) endpoints. We aim to assess the relationship between the level of a person's depression and their risk of CHD, stroke, and all-cause and cardiovascular mortality. Utilizing data from the United States National Health and Nutrition Examination Survey (NHANES), multicycle cross-sectional design and mortality linkage studies were conducted. The study sample included 30918 participants aged 20-85 years old during the 2005-2018 period. Depression was assessed using the nine-item Patient Health Questionnaire (PHQ-9), with scores of 5, 10, 15, and 20 being the cut-off points for mild, moderate, moderately severe, and severe depression, respectively. A series of weighted logistic regression analyses and Cox proportional hazards models were utilized to examine the relationship between the level of depression with the risk of CHD, stroke, all-cause, and cardiovascular mortality. Trend analyses were conducted by entering the level of depression as a continuous variable and rerunning the corresponding regression models. Weighted logistic regression models consistently indicated a statistically significant association between the level of depression and increased risk of CHD and stroke, and those linear trend tests were statistically significant (P for trend < 0.001). Furthermore, weighted Cox regression analyses consistently indicated that participants who had a more severe degree of depression were at a higher risk of all-cause death, and trend analyses suggested similar results (P for trend < 0.001). Another weighted Cox regression analysis also consistently indicated that except for severe depression, the hazard of cardiovascular death was increased with each additional level increase of depression. Our study confirmed that the level of depression was strongly associated with CHD, stroke, and all-cause and cardiovascular mortality, even after accounting for other factors that could impact risk, including variables of age, gender, ethnicity, income, education, body mass index (BMI), marital, and smoking status.

Association of Depression, Antidepressants With Atrial Fibrillation Risk: A Systemic Review and Meta-Analysis

Background

Depression is a possible influence factor for the increased risk of incident atrial fibrillation (AF). Although several investigations have assessed their association, the results are still controversial. Therefore, we conducted a meta-analysis to evaluate the association between depression or using antidepressants and AF.

Methods

We systemically performed the literature retrieval from two electronic databases PubMed and EMBASE until March 2022 to extract relevant data. The hazard ratios (HRs) and odds ratios (OR) from included studies with 95% confidence intervals (CIs) were adjusted into the risk ratio (RR) and pooled by using the random-effects model.

Results

Totally 9 studies about the associations between depression or antidepressants and incident AF risk were included in this meta-analysis. Among them, 5 studies specifically analyzed the impact of antidepressants on the risk of AF. The outcomes of our analysis indicated that depression or depressive symptoms could increase AF risk (RR = 1.15, 95% CI, 1.03–1.27, P < 0.01). In addition, the use of antidepressants can also increase AF risk (RR = 1.16, 95% CI, 1.07–1.25, P < 0.001). These results remained unchanged when we remove the source of heterogeneity or adjust the analysis model into the fixed-effects model.

Conclusions

Based on existing investigations, both depression and the use of antidepressants are closely related to the increase of incident AF risk.

Adipose tissue distribution from body MRI is associated with cross-sectional and longitudinal brain age in adults

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There is an intimate body-brain connection in ageing, and obesity is a key risk factor for poor cardiometabolic health and neurodegenerative conditions.

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We investigated adipose tissue distribution from body magnetic resonance imaging (MRI) in relation to brain structure using MRI-based morphometry and diffusion tensor imaging (DTI).

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The results indicated older-appearing brains in people with higher measures of adipose tissue, and accelerated ageing over the course of the study period in people with higher measures of adipose tissue.

There is an intimate body-brain connection in ageing, and obesity is a key risk factor for poor cardiometabolic health and neurodegenerative conditions. Although research has demonstrated deleterious effects of obesity on brain structure and function, the majority of studies have used conventional measures such as waist-to-hip ratio, waist circumference, and body mass index. While sensitive to gross features of body composition, such global anthropometric features fail to describe regional differences in body fat distribution and composition. The sample consisted of baseline brain magnetic resonance imaging (MRI) acquired from 790 healthy participants aged 18–94 years (mean ± standard deviation (SD) at baseline: 46.8 ± 16.3), and follow-up brain MRI collected from 272 of those individuals (two time-points with 19.7 months interval, on average (min = 9.8, max = 35.6). Of the 790 included participants, cross-sectional body MRI data was available from a subgroup of 286 participants, with age range 19–86 (mean = 57.6, SD = 15.6). Adopting a mixed cross-sectional and longitudinal design, we investigated cross-sectional body magnetic resonance imaging measures of adipose tissue distribution in relation to longitudinal brain structure using MRI-based morphometry (T1) and diffusion tensor imaging (DTI). We estimated tissue-specific brain age at two time points and performed Bayesian multilevel modelling to investigate the associations between adipose measures at follow-up and brain age gap (BAG) – the difference between actual age and the prediction of the brain’s biological age – at baseline and follow-up. We also tested for interactions between BAG and both time and age on each adipose measure. The results showed credible associations between T1-based BAG and liver fat, muscle fat infiltration (MFI), and weight-to-muscle ratio (WMR), indicating older-appearing brains in people with higher measures of adipose tissue. Longitudinal evidence supported interaction effects between time and MFI and WMR on T1-based BAG, indicating accelerated ageing over the course of the study period in people with higher measures of adipose tissue. The results show that specific measures of fat distribution are associated with brain ageing and that different compartments of adipose tissue may be differentially linked with increased brain ageing, with potential to identify key processes involved in age-related transdiagnostic disease processes.

Off-Target Effects of Antidepressants on Vascular Function and Structure

Depression emerges as a risk factor for cardiovascular disease, and it is thought that successful antidepressant treatment may reduce such a risk. Therefore, antidepressant treatment embodies a potential preventive measure to reduce cardiovascular events in patients with depression. Accumulating evidence indicates that antidepressants have off-target effects on vascular dysfunction and in the early stages of atherosclerosis, which form the basis for cardiovascular disease (CVD) pathogenesis. In this context, we performed a thorough review of the evidence pertaining to the effects of different classes of antidepressant medications on hemodynamic and early atherosclerosis markers. The preclinical and clinical evidence reviewed revealed a preponderance of studies assessing selective serotonin reuptake inhibitors (SSRI), whereas other classes of antidepressants are less well-studied. Sufficient evidence supports a beneficial effect of SSRIs on vascular inflammation, endothelial function, arterial stiffening, and possibly delaying carotid atherosclerosis. In clinical studies, dissecting the hypothesized direct beneficial antidepressant effect of SSRIs on endothelial health from the global improvement upon remission of depression has proven to be difficult. However, preclinical studies armed with appropriate control groups provide evidence of molecular mechanisms linked to endothelial function that are indeed modulated by antidepressants. This suggests at least a partial direct action on vascular integrity. Further research on endothelial markers should focus on the effect of antidepressants on treatment responders versus non-responders in order to better ascertain the possible beneficial vascular effects of antidepressants, irrespective of the underlying course of depression.