Association of antidepressant and atypical antipsychotic use with cardiovascular events and mortality in a veteran population

Relationships of depression and antidepressant use with epigenetic age acceleration and all-cause mortality among postmenopausal women

We investigated relations of depressive symptoms, antidepressant use, and epigenetic age acceleration with all-cause mortality risk among postmenopausal women. Data were analyzed from ≤1,900 participants in the Women's Health Initiative study testing four-way decomposition models. After a median 20.4y follow-up, 1,161 deaths occurred. Approximately 11% had elevated depressive symptoms (EDS+), 7% were taking antidepressant medication at baseline (ANTIDEP+), while 16.5% fell into either category (EDS_ANTIDEP+). Baseline ANTIDEP+, longitudinal transition into ANTIDEP+ and accelerated epigenetic aging directly predicted increased mortality risk. GrimAge DNA methylation age acceleration (AgeAccelGrim) partially mediated total effects of baseline ANTIDEP+ and EDS_ANTIDEP+ on all-cause mortality risk in socio-demographic factors-adjusted models (Pure Indirect Effect >0, P < 0.05; Total Effect >0, P < 0.05). Thus, higher AgeAccelGrim partially explained the relationship between antidepressant use and increased all-cause mortality risk, though only prior to controlling for lifestyle and health-related factors. Antidepressant use and epigenetic age acceleration independently predicted increased all-cause mortality risk. Further studies are needed in varying populations.

Assessment of psychiatric comorbidities and serotonergic or noradrenergic medication use on blood pressure using 24-hour ambulatory blood pressure monitoring

In this study, the authors aimed to assess both nighttime and daytime blood pressure (BP) variability using 24-hour ambulatory BP monitoring (ABPM) in persons with and without psychiatric conditions and with or without selective serotonin reuptake inhibitors (SSRIs) or serotonin-norepinephrine reuptake inhibitors (SNRIs) treatment. In this retrospective study, patients who underwent psychiatric evaluation and ABPM within 6 months of each other between January 1, 2012 and December 31, 2017 were identified using billing data. Participants were divided into three groups-participants with no psychiatric diagnosis and no psychiatric medicine (-Diagnosis/-Medication), those with psychiatric diagnosis and on SSRIs/SNRIs (+Diagnosis/+Medication), and psychiatric diagnosis but no psychiatric medications (+Diagnosis/-Medication). Day and nighttime systolic and diastolic BPs were compared between groups controlling for relevant variables using multivariable linear regression models. A total of 475 participants met inclusion criteria including 135 in the -Diagnosis/-Medication group, 232 in the +Diagnosis/+Medication group, and 108 in the +Diagnosis/-Medication group. In adjusted multivariable analysis, the +Diagnosis/+Medication group had higher nighttime systolic BP (median 120 vs 110 mm (Hg); p = .01) and nighttime diastolic BP (median 68 vs 63 mm (Hg); p = .006) as compared to -Diagnosis/-Medication. No statistically significant differences in BPs between the -Diagnosis/-Medication and +Diagnosis/-Medication groups were observed, after adjustment. Use of SSRIs/SNRIs was associated with significantly higher nocturnal systolic and diastolic BP among patients with psychiatric diagnosis using SSRIs/SNRIs but not associated with psychiatric diagnosis without SSRI/SNRI use. SSRIs/SNRIs use may be associated with higher BP levels and this merits future prospective studies using ABPM to assess day and nighttime BP changes with SSRIs/SNRIs use.

Antidepressants and the Risk of Cardiovascular Events in Elderly Affected by Cardiovascular Disease: A Real-Life Investigation From Italy

PURPOSE

The purpose of this study was to assess the possible relation between use of antidepressant (AD) drugs, that is, tricyclic ADs, selective serotonin reuptake inhibitors (SSRIs), and atypical ADs (AAs), and the risk of hospitalization for cardiovascular (CV) events among older patients with previous CV diseases.

METHODS

A nested case-control study was carried out among patients aged 65 years and older from 5 Italian health care territorial units who were discharged for CV disease during 2008 to 2010. The cohort was composed by 344,747 individuals, and of these, 97,739 (28%) experienced hospital admission for CV events (myocardial infarction, arrhythmia, stroke, heart failure) during follow-up (until 2014) and were included as cases. Up to 5 controls were randomly selected and matched to each. A conditional logistic regression was fitted to estimate the risk of CV events associated with ADs past or current use. A within-patient comparison was performed by the case-crossover design to account the effect of depression.

FINDINGS

Current users of SSRIs and AAs were at increased risk of CV events with odds ratios of 1.25 (95% confidence interval, 1.21-1.29) and 1.31 (1.25-1.37), respectively. An increased risk of arrhythmia and stroke was associated with current use of SSRIs and AAs, whereas an increased risk of heart failure was detected with current use of any ADs. The results were confirmed by the case-crossover approach.

IMPLICATIONS

Evidence that AD use is associated with an increased risk of CV events in accordance with specific mechanisms of action among older people with CV disease was added by this study.

Effect of Selective Serotonin Reuptake Inhibitors on Cardiovascular Outcomes After Percutaneous Coronary Intervention: A Retrospective Cohort Study

BACKGROUND

Depression and coronary artery disease (CAD) are leading causes of death and disability and commonly co-occur. Different antidepressant classes have similar efficacy for depressed patients with CAD, but cardiovascular implications are unclear. Selective serotonin reuptake inhibitors (SSRIs) and mirtazapine are first-line options for depressed patients with CAD. SSRIs, but not mirtazapine, have known antiplatelet effects. Whether this affects risk of bleeding and major adverse cardiac events (MACE) in patients requiring dual antiplatelet therapy (DAPT) after percutaneous coronary intervention (PCI) is unknown.

OBJECTIVE

The aim of this analysis is to examine the impact of SSRI treatment on the co-primary endpoints of composite MACE (death, myocardial infarction, or stroke) and composite bleeding events in patients treated with clopidogrel-based DAPT after PCI.

METHODS

We conducted a retrospective study with co-primary endpoints of bleeding and MACE within 1 year of PCI. Three groups were compared: SSRI patients, mirtazapine patients, and patients on neither agent. Mirtazapine acted as a comparator to control for depression, for which diagnosis coding was inadequate. Time-to-event analyses were performed with Kaplan-Meier estimators and adjusted analyses utilized Cox proportional hazards. There were 6874 (820 SSRI, 55 mirtazapine, 5999 neither) patients included.

RESULTS

SSRI patients had lower MACE risk than mirtazapine patients (hazard ratio [HR] 0.61, 95% confidence interval [CI] 0.38-0.97, p = 0.036) but higher MACE risk than patients on neither agent (HR 1.21, 95% CI 1.02-1.43, p = 0.030) in adjusted analyses. No significant differences were associated with bleeding risk (SSRI vs. neither adjusted HR 1.07, 95% CI 0.93-1.24, p = 0.36).

CONCLUSION

SSRI use was associated with a significant decrease in MACE rates compared with patients receiving mirtazapine. Bleeding risk was not affected by either antidepressant treatment. SSRIs may have cardioprotective benefits compared with mirtazapine.

Multi-trajectories of antidepressant and antipsychotic use: a 11-year naturalistic study in a community-based sample

OBJECTIVE

To explore the temporal dynamic of antidepressant and antipsychotic co-prescribing in real-life conditions.

METHODS

The study was performed using reimbursement data from the French Insurance Healthcare system in a cohort of 118 454 persons with at least one dispensing of antidepressants and/or antipsychotics over the period 2006-2016. Latent class analyses were used to identify homogeneous groups of persons following similar multi-trajectories of antidepressant and/or antipsychotic dispensing. Multivariate polynomial logistic regression models were used to explore the characteristics independently associated with distinct trajectories.

RESULTS

Five multi-trajectories of antidepressant and/or antipsychotic dispensing were identified: more than half of the sample (58%) had very low antidepressant and antipsychotic use; two groups had chronic (12%) or decreasing (11%) antidepressant use with very low antipsychotic use; two groups used both antidepressants and antipsychotics simultaneously either in an increasing (12%) or chronic (7%) way. Persons with chronic antidepressant-antipsychotic use presented with markers of poor social and mental health conditions.

CONCLUSIONS

Most persons using antipsychotics over the follow-up also used antidepressants over the same period. The benefit/risk ratio of these prescribing practices should be further explored as the long-term efficacy of antidepressant-antipsychotic polypharmacy is poorly documented, while this combination increases the risk of adverse effects.

[Electrocardiographic and hemodynamic profile of patients with psychotic disorder]

INTRODUCTION

Cardiac mortality among patients diagnosed with mental disorders is higher compared to the general population. Some authors suggest that cardiovascular risk is related to intrinsic factors specific to psychiatric disease. Nevertheless, the interpretation of these results is limited by the concomitant prescription of antipsychotics which have a cardiovascular effect. Studies evaluating the hemodynamic and electrocardiographic profile of drug naïve or drug-free patients suffering from mental disorders remain few.

AIMS

The aims of this work were to study the electrocardiographic and hemodynamic profile of drug naïve or drug-free patients with mental disorders and to determine clinical and biological factors associated with any electrocardiographic abnormalities.

SUBJECTS AND METHODS

It was a descriptive and evaluative cross-sectional study. We enrolled drug naïve or drug-free patients for at least two months. All subjects were inpatients and had at admission clinical, biological and electrocardiographic evaluation.

RESULTS

Forty-four percent of the sample had asymptomatic electrocardiographic abnormalities. These subjects had lower serum thyroid hormone levels compared to healthy group (P=0.066). Hemodynamic profile showed that 12% of the population had orthostatic hypotension.

CONCLUSION

Electrocardiographic and hemodynamic abnormalities are common among drug-free or drug naïve patients diagnosed with psychotic disorders. The association of electrocardiographic abnormalities with low levels of thyroxin requires more investigation.

Risk factors for early circulatory mortality in patients with schizophrenia

Patients with schizophrenia have higher mortality and shortened life expectancy than the general population, and cardiovascular disease (CVD) accounts for up to 50% cases of early mortality in schizophrenia. We determined risk factors, particularly pathophysiological changes, for early circulatory mortality in schizophrenia. In this multi-institutional, nested, case-control study, we enrolled consecutive inpatients with schizophrenia admitted to three psychiatric hospitals in the northern Taiwan. Seventy-nine patients who died of CVD before 65 years of age were identified as cases through record linkage, and 158 controls were randomly selected in a 2:1 ratio through risk-set density sampling, after matching for age (±2 years), sex, and index admission (±3 years). Data were obtained through medical record reviews. At the time of death, the mean age of the patients was 47.5 years (standard deviation = 10.3). Conditional logistic regression revealed that the duration of antipsychotic treatment was significantly associated with a lower risk of early circulatory mortality, and leukocyte counts at index hospitalization were significantly associated with a higher risk. Systemic inflammation may be a risk factor for early circulatory mortality in schizophrenia, but antipsychotic treatment, in particular typical antipsychotic treatment, could be a protective factor.

The Mortality and Myocardial Effects of Antidepressants Are Moderated by Preexisting Cardiovascular Disease: A Meta-Analysis

BACKGROUND

Antidepressants (ADs) are commonly prescribed medications, but their long-term health effects are debated. ADs disrupt multiple adaptive processes regulated by evolutionarily ancient biochemicals, potentially increasing mortality. However, many ADs also have anticlotting properties that can be efficacious in treating cardiovascular disease. We conducted a meta-analysis assessing the effects of ADs on all-cause mortality and cardiovascular events in general-population and cardiovascular-patient samples.

METHODS

Two reviewers independently assessed articles from PubMed, EMBASE, and Google Scholar for AD-related mortality controlling for depression and other comorbidities. From these articles, we extracted information about cardiovascular events, cardiovascular risk status, and AD class. We conducted mixed-effect meta-analyses testing sample type and AD class as moderators of all-cause mortality and new cardiovascular events.

RESULTS

Seventeen studies met our search criteria. Sample type consistently moderated health risks. In general-population samples, AD use increased the risks of mortality (HR = 1.33, 95% CI: 1.14-1.55) and new cardiovascular events (HR = 1.14, 95% CI: 1.08-1.21). In cardiovascular patients, AD use did not significantly affect risks. AD class also moderated mortality, but the serotonin reuptake inhibitors were not significantly different from tricyclic ADs (TCAs) (HR = 1.10, 95% CI: 0.93-1.31, p = 0.27). Only "other ADs" were differentiable from TCAs (HR = 1.35, 95% CI: 1.08-1.69). Mortality risk estimates increased when we analyzed the subset of studies controlling for premedication depression, suggesting the absence of confounding by indication.

CONCLUSIONS

The results support the hypothesis that ADs are harmful in the general population but less harmful in cardiovascular patients.

The genetic overlap between mood disorders and cardiometabolic diseases: a systematic review of genome wide and candidate gene studies

Meta-analyses of genome-wide association studies (meta-GWASs) and candidate gene studies have identified genetic variants associated with cardiovascular diseases, metabolic diseases and mood disorders. Although previous efforts were successful for individual disease conditions (single disease), limited information exists on shared genetic risk between these disorders. This article presents a detailed review and analysis of cardiometabolic diseases risk (CMD-R) genes that are also associated with mood disorders. First, we reviewed meta-GWASs published until January 2016, for the diseases 'type 2 diabetes, coronary artery disease, hypertension' and/or for the risk factors 'blood pressure, obesity, plasma lipid levels, insulin and glucose related traits'. We then searched the literature for published associations of these CMD-R genes with mood disorders. We considered studies that reported a significant association of at least one of the CMD-R genes and 'depression' or 'depressive disorder' or 'depressive symptoms' or 'bipolar disorder' or 'lithium treatment response in bipolar disorder', or 'serotonin reuptake inhibitors treatment response in major depression'. Our review revealed 24 potential pleiotropic genes that are likely to be shared between mood disorders and CMD-Rs. These genes include MTHFR, CACNA1D, CACNB2, GNAS, ADRB1, NCAN, REST, FTO, POMC, BDNF, CREB, ITIH4, LEP, GSK3B, SLC18A1, TLR4, PPP1R1B, APOE, CRY2, HTR1A, ADRA2A, TCF7L2, MTNR1B and IGF1. A pathway analysis of these genes revealed significant pathways: corticotrophin-releasing hormone signaling, AMPK signaling, cAMP-mediated or G-protein coupled receptor signaling, axonal guidance signaling, serotonin or dopamine receptors signaling, dopamine-DARPP32 feedback in cAMP signaling, circadian rhythm signaling and leptin signaling. Our review provides insights into the shared biological mechanisms of mood disorders and cardiometabolic diseases.

Cardiovascular risk assessment in patients with a severe mental illness: a systematic review and meta-analysis

BACKGROUND

Cardiovascular risk (CVR) has been observed to be higher in patients with severe mental illness (SMI) than in the general population. However, some studies suggest that CVR is not equally increased in different subgroups of SMI. The purposes of this review are to summarise CVR scores of SMI patients and to determine the differences in CVR between patients with different SMIs and between SMI patients and the control-population.

METHODS

MEDLINE (via PubMed) was searched for literature published through August 28, 2014, followed by a snowball search in the Web of Science. Observational and experimental studies that reported CVR assessments in SMI patients using validated tools were included. The risk of bias was reported using STROBE and CONSORT criteria. Pooled continuous data were expressed as standardized mean differences (SMD) with 95% confidence intervals (CI). Two reviewers independently selected studies, extracted data and assessed methodological quality.

RESULTS

A total of 3,608 articles were identified, of which 67 full text papers were assessed for eligibility and 35 were finally included in our review, in which 12,179 psychiatric patients and 225,951 comparative patients had been assessed. The most frequent diagnoses were schizophrenia and related diagnoses (45.7%), depressive disorders (14.7%), SMI (11.4%) and bipolar disorders (8.6%). The most frequent CVR assessment tool used was the Framingham risk score. Subgroups analysis showed a higher CVR in schizophrenia than in depressive disorder or in studies that included patients with multiple psychiatric diagnoses (SMD: 0.63, 0.03, and 0.02, respectively). Six studies were included in the meta-analysis. Total overall CVR did not differ between SMI patients and controls (SMD: 0.35 [95% CI:-0.02 to 0.71], p = 0.06); high heterogeneity was observed (I (2) = 93%; p < 0.001).

CONCLUSIONS

The summary of results from studies that assessed CVR using validated tools in SMI patients did not find sufficient data (except for limited evidence associated with schizophrenia) to permit any clear conclusions about increased CVR in this group of patients compared to the general population. The systematic review is registered in

PROSPERO

CRD42013003898 .

Effects of antipsychotics, antidepressants and mood stabilizers on risk for physical diseases in people with schizophrenia, depression and bipolar disorder

People with severe mental illness have a considerably shorter lifespan than the general population. This excess mortality is mainly due to physical illness. Next to mental illness-related factors, unhealthy lifestyle, and disparities in health care access and utilization, psychotropic medications can contribute to the risk of physical morbidity and mortality. We systematically reviewed the effects of antipsychotics, antidepressants and mood stabilizers on physical health outcomes in people with schizophrenia, depression and bipolar disorder. Updating and expanding our prior systematic review published in this journal, we searched MEDLINE (November 2009 - November 2014), combining the MeSH terms of major physical disease categories (and/or relevant diseases within these categories) with schizophrenia, major depressive disorder and bipolar disorder, and the three major psychotropic classes which received regulatory approval for these disorders, i.e., antipsychotics, antidepressants and mood stabilizers. We gave precedence to results from (systematic) reviews and meta-analyses wherever possible. Antipsychotics, and to a more restricted degree antidepressants and mood stabilizers, are associated with an increased risk for several physical diseases, including obesity, dyslipidemia, diabetes mellitus, thyroid disorders, hyponatremia; cardiovascular, respiratory tract, gastrointestinal, haematological, musculoskeletal and renal diseases, as well as movement and seizure disorders. Higher dosages, polypharmacy, and treatment of vulnerable (e.g., old or young) individuals are associated with greater absolute (elderly) and relative (youth) risk for most of these physical diseases. To what degree medication-specific and patient-specific risk factors interact, and how adverse outcomes can be minimized, allowing patients to derive maximum benefits from these medications, requires adequate clinical attention and further research.

Managing comorbidities in patients with chronic heart failure: first, do no harm

Heart failure (HF) affects approximately 5.1 million adults in the USA, with expectations of a rise to nearly 8 million adults by 2030. Patients with HF are at increased risk for morbidity/mortality, and comorbidities can further complicate care for these patients. Diabetes mellitus, chronic pain, arrhythmias, and depression are diagnoses that often coexist with HF. Medications commonly used to treat these comorbidities may induce or worsen HF symptoms, so determining appropriate drug therapy is important. Healthcare providers must understand the relationship between these medications and HF in order to improve prescribing practices to increase patient safety and reduce morbidity and mortality. This manuscript discusses the association between certain medications used to treat the aforementioned diagnoses and their relationship to HF. The purpose of this article is to provide guidance on which pharmacologic options require special consideration, increased monitoring, or complete avoidance in HF patients with diabetes mellitus, chronic pain, arrhythmias, and/or depression.

Managing cardiovascular disease risk in patients treated with antipsychotics: a multidisciplinary approach

Background

The use of antipsychotic medication in the United States and throughout the world has greatly increased over the last fifteen years. These drugs have significant side effect burdens, many of them relating to cardiovascular health.

Objective

To review the available evidence on the major cardiovascular issues that arise in patients taking antipsychotic medication.

Method

A PubMed literature review was performed to identify recent meta-analyses, review articles, and large studies. Further articles were identified through cited papers and based on expert consultation when necessary.

Results

Clinical guidance on the following adverse effects and antipsychotics was reviewed: electrocardiogram (ECG) changes, (specifically, prolonged QT and risk of torsades de pointes), weight gain, dyslipidemia, metabolic syndrome, and myocarditis. Specific attention was paid to monitoring guidelines and treatment options in the event of adverse events, including dose change, medication switch, or adjuvant therapy.