Association Between Bipolar Disorder or Schizophrenia and Oral Anticoagulation Use in Danish Adults With Incident or Prevalent Atrial Fibrillation

A comprehensive assessment of the association between common drugs and psychiatric disorders using Mendelian randomization and real-world pharmacovigilance database

BACKGROUND

Medications prescribed for chronic diseases can lead to short-term neuropsychiatric symptoms, but their long-term effects on brain structures and psychiatric conditions remain unclear.

METHODS

We comprehensively analyzed the FDA Adverse Event Reporting System database and conducted drug target Mendelian Randomization (MR) studies on six categories of common drugs, 477 brain imaging-derived phenotypes (IDPs) and eight psychiatric disorders. Genetic instruments were extracted from expression quantitative trait loci (eQTLs) in blood, brain, and other target tissues, protein quantitative trait loci (pQTLs) in blood, and genome-wide association studies (GWAS) of hemoglobin and cholesterol. Summary statistics for brain IDPs, psychiatric disorders, and gut microbiome were obtained from the BIG40, Psychiatric Genomics Consortium, and MiBioGen. A two-step MR and mediation analysis were employed to screen possible mediators of drug-IDP effects from 119 gut microbiota genera and identify their mediation proportions.

FINDINGS

Among 19 drug classes, six drugs were found to be associated with higher risks of psychiatric adverse events, while 11 drugs were associated with higher risks of gastrointestinal adverse events in the FAERS analysis. We identified ten drug-psychiatric disorder associations, 202 drug-IDP associations, 16 drug-microbiota associations, and four drug-microbiota-IDP causal links. For example, PPARG activation mediated HbA1c reduction caused a higher risk of bipolar disorder (BD) II. Genetically proxied GLP-1R agonists were significantly associated with an increase in the volume of the CA3-head of the right hippocampus and the area of the left precuneus cortex, both of which have been shown to correlate with cognition in previous studies.

INTERPRETATION

Common drugs may affect brain structure and risk of psychiatric disorder. Oral medications in particular may exert some of these effects by influencing gut microbiota. This study calls for greater attention to be paid to the neuropsychiatric adverse effects of drugs and encourages drug repurposing.

FUNDING

National Natural Science Foundation of China (grant No. 82330035, 82130043, 82172685, and 82001223), National Natural Science Foundation of Hunan Province (grant No. 2021SK1010), and the Science Foundation for Distinguished Young Scholars of Changsha (grant No. kq2209006).

Pathophysiological Mechanisms of Psychosis-Induced Atrial Fibrillation: The Links between Mental Disorder and Arrhythmia

Atrial fibrillation (AF) is a common phenomenon of sustained arrhythmia leading to heart failure or stroke. Patients with mental disorders (MD), particularly schizophrenia and bipolar disorder, are at a high risk of AF triggered by the dysregulation of the autonomic nervous system, atrial stretch, oxidative stress, inflammation, and electrical or structural remodeling. Moreover, pathophysiological mechanisms underlying MD may also contribute to the genesis of AF. An overactivated hypothalamic-pituitary-adrenal axis, aberrant renin-angiotensin-aldosterone system, abnormal serotonin signaling, disturbed sleep, and genetic/epigenetic factors can adversely alter atrial electrophysiology and structural substrates, leading to the development of AF. In this review, we provide an update of our collective knowledge of the pathophysiological and molecular mechanisms that link MD and AF. Targeting the pathogenic mechanisms of MD-specific AF may facilitate the development of therapeutics that mitigate AF and cardiovascular mortality in this patient population.

Schizophrenia and Types of Stroke: A Mendelian Randomization Study

BACKGROUND

Previous studies suggest an association between schizophrenia and stroke, but no studies have investigated stroke subtypes. We examined potential causal associations between schizophrenia and a range of atherosclerotic, embolic, and hemorrhagic stroke outcomes.

METHODS AND RESULTS

Two-sample Mendelian randomization analyses were conducted. The summary-level data (restricted to European ancestry) were obtained for schizophrenia and stroke: ischemic stroke, large-artery stroke, small-vessel stroke, cardioembolic stroke, and intracerebral hemorrhage. The associations between schizophrenia and each outcome were analyzed by an inverse variance weighting method primarily and Mendelian randomization Egger, weighted median, and weighted mode subsequently. The presence of pleiotropy was also tested by Cochran Q statistic, I2 index, and Mendelian randomization Egger intercept with scatter and funnel plots. We found associations between schizophrenia and cardioembolic stroke (odds ratio [OR], 1.070 [95% CI, 1.023-1.119]) and intracerebral hemorrhage (OR, 1.089 [95% CI, 1.005-1.180]) using inverse variance weighting. Little evidence of associations with the other stroke subtypes was found. Different Mendelian randomization methods corroborated the association with cardioembolic stroke but not intracerebral hemorrhage.

CONCLUSIONS

We have provided evidence of a potentially causal association between schizophrenia and cardioembolic stroke. Our findings suggest that cardiac evaluation should be considered for those with schizophrenia.

High Risk Factors and Preventive Measures of Bipolar Disorder After Ischemic Stroke

Background

Bipolar disorder (BD) is a recurrent chronic disease. There are few Chinese studies to explore the BD after ischemic stroke. This study aimed to analyze the high risk factors of BD after ischemic stroke and investigate prevention strategies.

Methods

197 patients with ischemic stroke in our hospital from March 2020 to March 2022 were selected as research subjects. The demographic information, clinical data, and scores of Mood Disorder Questionnaire (MDQ) and Activity of Daily Living Scale (ADL) in patients were retrospectively analyzed to count the incidence of BD in patients. Binary logistic regression analysis was used to analyze the influencing factors for BD after ischemic stroke, and preventive measures were discussed based on study results.

Results

The incidence of BD in patients with ischemic stroke was 45.18% (89/197), and the median and quartile in the first part of MDQ score was 6.00 (5.00,10.00) points. The subjects were divided into BD group (n = 89) and non-BD group (n = 108) based on the presence of BD in patients with ischemic stroke. Education background (OR = 0.485), lesions involving the frontal or temporal lobes (OR = 2.724), sleep disorders (OR = 2.246), and daily living ability (OR = 3.108) were influencing factors for BD after ischemic stroke (P < .05).

Conclusion

The risk of BD after ischemic stroke is high. Based on the above research results, clinical attention should be paid to knowledge popularization, lesion examination, and the improvement of sleep quality and daily living ability, to prevent the occurrence of BD and improve the prognosis.

Atrial fibrillation: comorbidities, lifestyle, and patient factors

Modern anticoagulation therapy has dramatically reduced the risk of stroke and systemic thromboembolism in people with atrial fibrillation (AF). However, AF still impairs quality of life, increases the risk of stroke and heart failure, and is linked to cognitive impairment. There is also a recognition of the residual risk of thromboembolic complications despite anticoagulation. Hence, AF management is evolving towards a more comprehensive understanding of risk factors predisposing to the development of this arrhythmia, its' complications and interventions to mitigate the risk. This review summarises the recent advances in understanding of risk factors for incident AF and managing these risk factors. It includes a discussion of lifestyle, somatic, psychological, and socioeconomic risk factors. The available data call for a practice shift towards a more individualised approach considering an increasingly broader range of health and patient factors contributing to AF-related health burden. The review highlights the needs of people living with co-morbidities (especially with multimorbidity), polypharmacy and the role of the changing population demographics affecting the European region and globally.

Depression and atrial fibrillation in a reciprocal liaison: a neuro-cardiac link

OBJECTIVE

To explore the reciprocal relationship of depression and atrial fibrillation (AF).

METHODS

A literature search was conducted in Pub Med, Scopus, and Google Scholar using relevant terms for depression and AF and respective therapies.

RESULTS

There is evidence that depression is involved in the aetiology and prognosis of AF. AF, independently of its type, incurs a risk of depression in 20-40% of patients. Also, depression significantly increases cumulative incidence of AF (from 1.92% to 4.44% at 10 years); 25% increased risk of new-onset AF is reported in patients with depression, reaching 32% in recurrent depression. Hence, emphasis is put on the importance of assessing depression in the evaluation of AF and vice versa. Persistent vs paroxysmal AF patients may suffer from more severe depression. Furthermore, depression can impact the effectiveness of AF treatments, including pharmacotherapy, anticoagulation, cardioversion and catheter ablation.

CONCLUSIONS

A reciprocal association of depression and AF, a neurocardiac link, has been suggested. Thus, strategies which can reduce depression may improve AF patients' course and treatment outcomes. Also, AF has a significant impact on risk of depression and quality of life. Hence, effective antiarrhythmic therapies may alleviate patients' depressive symptoms. KEY POINTSAF, independently of its type of paroxysmal, permanent or chronic, appears to have mental besides physical consequences, including depression and anxietyA reciprocal influence or bidirectional association of depression and AF, a neurocardiac link, has been suggestedAF has considerable impact on the risk of depression occurrence with 20-40% of patients with AF found to have high levels of depressionAlso, depression significantly increases 10-year cumulative incidence and risk of AF from 1.92% to 4.44% in people without depression, and the risk of new-onset AF by 25-32%Emphasis should be placed on the importance of assessing depression in the evaluation of AF and vice versaPersistent/chronic AF patients may suffer from more severe depressed mood than paroxysmal AF patients with similar symptom burdenDepression and anxiety can impact the effectiveness of certain AF treatments, including pharmacotherapy, anticoagulation treatment, cardioversion and catheter ablationThus, strategies which can reduce anxiety and depression may improve AF patients' course and treatment outcomesAlso, effective antiarrhythmic therapies to control AF may alleviate patients' depressive mood.

Exploring the Association between Schizophrenia and Cardiovascular Diseases: Insights into the Role of Sigma 1 Receptor

Contemporary society is characterized by rapid changes. Various epidemiological, political and economic crises represent a burden to mental health of nowadays population, which may at least partially explain the increasing incidence of mental disorders, including schizophrenia. Schizophrenia is associated with premature mortality by at least 13-15 years. The leading cause of premature mortality in schizophrenia patients is high incidence of cardiovascular diseases. The specific-cause mortality risk for cardiovascular diseases in schizophrenia patients is more than twice higher as compared to the general population. Several factors are discussed as the factor of cardiovascular diseases development. Intensive efforts to identify possible link between schizophrenia and cardiovascular diseases are made. It seems that sigma 1 receptor may represent such link. By modulation of the activity of several neurotransmitter systems, including dopamine, glutamate, and GABA, sigma 1 receptor might play a role in pathophysiology of schizophrenia. Moreover, significant roles of sigma 1 receptor in cardiovascular system have been repeatedly reported. The detailed role of sigma 1 receptor in both schizophrenia and cardiovascular disorders development however remains unclear. The article presents an overview of current knowledge about the association between schizophrenia and cardiovascular diseases and proposes possible explanations with special emphasis on the role of the sigma 1 receptor.

Psychiatric symptoms in patients with non-valvular atrial fibrillation

Background

Atrial fibrillation (AF) is one of the leading causes of hospitalization and even death worldwide. Complex bidirectional associations have been suggested between psychiatric disorders and AF disease. This study was conducted to investigate the prevalence of psychiatric symptoms in a cohort of Egyptian population presented with symptomatic non-valvular AF (NVAF) and to identify the high-risk subjects in need for professional psychiatric consultation. A total of 100 eligible symptomatic NVAF patients were recruited in this cross-sectional study. Each patient was subjected to: (1) cardiac evaluation included electrocardiogram, trans-esophageal echocardiography, and the European Heart Rhythm Association (EHRA). (2) Psychiatric evaluation consisted of clinical psychiatric interviewing, Hospital Anxiety and Depression Scales (HADS), Mini–Mental State Examination (MMSE), type-D personality screening, and the short form-36 (SF-36) health survey for the assessment of health-related quality of life (HRQoL).

Results

Forty-four percent of our enrolled AF patients had anxiety symptoms, 32% had depressive symptoms, 24% had mild cognitive impairment, and 32% had type-D personality. Linear regression analysis demonstrated that the left atrial dimension (LAD) and the age were the main significant predictors of MMSE, while the main predictors of HADS were SF-36 (physical functioning and general health) and the age. Neither psychiatric symptoms, nor type-D personality was a significant predictor for the evaluated cardiac parameters.

Conclusions

Mild cognitive impairment as well as depressive and anxiety symptoms is not uncommon associates with NVAF patients. Assessment of cognitive function and HRQoL is strongly advised for AF patients presented with enlarged LAD particularly among old adults.

Anticoagulation therapy and outcomes in patients with atrial fibrillation and serious mental illness: A systematic review and meta-analysis

OBJECTIVE

A systematic review was conducted to investigate prevalence, management and outcomes of atrial fibrillation (AF) in people with Serious Mental Illnesses (SMI) versus the general population.

DATA SOURCES

MEDLINE, EMBASE, and PsycINFO were searched for primary research written in English and published between 2004 and 2022.

STUDY SELECTION

A total of 1459 studies were identified in the initial search of which 16 met the inclusion criteria. Studies (n = 4) reporting on ischaemic stroke and major bleeding events were included in the meta-analysis.

DATA EXTRACTION

Two independent reviewers extracted data and assessed risk of bias using the Newcastle-Ottawa Scale. Discrepancies were resolved by consulting a third reviewer.

RESULTS

Low rates of AF were reported among people with SMI suggesting under-recognition or recording gaps. People with SMI and AF were less likely to receive oral anticoagulation therapy compared to the general population. When receiving warfarin, those with bipolar disorder experienced poor anticoagulation control as measured by time in INR therapeutic range. Pooled analysis of risk estimates showed that in patients with identified AF, SMI was not significantly associated with an increased risk of stroke (HR: 1.09; 95%CI: 0.85 to 1.40; I² = 60%, p = 0.04) or major bleeding (HR: 1.11; 95%CI: 0.95 to 1.28; I² = 57%, p = 0.03) when adjusted for underlying stroke and bleeding risks using the CHA2DS2VASc and HASBLED scales respectively.

CONCLUSION

More research is needed to examine the prevalence, management and outcomes of AF in this population, and to evaluate the effect of the introduction of the novel anti-coagulants on these metrics over time.

[Impact of anxiety disorders on adherence to anticoagulant therapy in patients with atrial fibrillation]

AIM

To evaluate the impact of anxiety disorders on adherence to anticoagulant therapy (ACT) in patients with atrial fibrillation (AF).

MATERIALS AND METHODS

179 outpatients (131 women, 48 men, mean age 69.96.2 years) with AF were examined. The research methods included a physical examination according to the standards of medical care in an outpatient facility, clinical and psychopathological examination using psychometric scales.

RESULTS

Based on the assessment of adherence to ACT using the MoriskyGreen test, 2 groups of patients were identified: Group 1 patients with high adherence to ACT, Group 2 patients with partial/low adherence to ACT. In group 1, anxiety disorders were verified in 51.7% of cases, in group 2 54.3%. There were no statistically significant differences in the prevalence and severity of anxiety in the study groups. In accordance with the binary logistic regression model, the probability of high adherence to therapy is determined by higher (compared with the group of patients with partial/low adherence to therapy) scores in terms of mental health (p0.001), vital activity (p=0.02) and the total score of the SF-36 scale (p=0.08), as well as the extraversion parameter (p=0.02) of the NEO-FFI scale.

CONCLUSION

In the present study, no significant association was found between anxiety symptoms and a decrease in adherence to ACT in patients with AF. However, the results obtained suggest a contribution to the adherence to therapy of personality characteristics.

A novel multi-class classification model for schizophrenia, bipolar disorder and healthy controls using comprehensive transcriptomic data

Two common psychiatric disorders, schizophrenia (SCZ) and bipolar disorder (BP), confer lifelong disability and collectively affect 2% of the world population. Because the diagnosis of psychiatry is based only on symptoms, developing more effective methods for the diagnosis of psychiatric disorders is a major international public health priority. Furthermore, SCZ and BP overlap considerably in terms of symptoms and risk genes. Therefore, the clarity of the underlying etiology and pathology remains lacking for these two disorders. Although many studies have been conducted, a classification model with higher accuracy and consistency was found to still be necessary for accurate diagnoses of SCZ and BP. In this study, a comprehensive dataset was combined from five independent transcriptomic studies. This dataset comprised 120 patients with SCZ, 101 patients with BP, and 149 healthy subjects. The partial least squares discriminant analysis (PLS-DA) method was applied to identify the gene signature among multiple groups, and 341 differentially expressed genes (DEGs) were identified. Then, the disease relevance of these DEGs was systematically performed, including (α) the great disease relevance of the identified signature, (β) the hub genes of the protein-protein interaction network playing a key role in psychiatric disorders, and (γ) gene ontology terms and enriched pathways playing a key role in psychiatric disorders. Finally, a popular multi-class classifier, support vector machine (SVM), was applied to construct a novel multi-class classification model using the identified signature for SCZ and BP. Using the independent test sets, the classification capacity of this multi-class model was assessed, which showed this model had a strong classification ability.

Anticoagulation for atrial fibrillation in people with serious mental illness in the general hospital setting

OBJECTIVE

People with serious mental illnesses (SMI) have an increased risk of stroke compared to the general population. This study aims to evaluate oral anticoagulation prescription trends in atrial fibrillation (AF) patients with and without a comorbid SMI.

METHODS

An open-source retrieval system for clinical data (CogStack) was used to identify a cohort of AF patients with SMI who ever had an inpatient admission to King's College Hospital from 2011 to 2020. A Natural Language Processing pipeline was used to calculate CHA2DS2-VASc and HASBLED risk scores from Electronic Health Records free text. Antithrombotic prescriptions of warfarin and Direct acting oral anti-coagulants (DOACs) (apixaban, rivaroxaban, dabigatran, edoxaban) were extracted from discharge summaries.

RESULTS

Among patients included in the study (n = 16 916), 2.7% had a recorded co-morbid SMI diagnosis. Compared to non-SMI patients, those with SMI had significantly higher CHA2DS2-VASc (mean (SD): 5.3 (1.96) vs 4.7 (2.08), p < 0.001) and HASBLED scores (mean (SD): 3.2 (1.27) vs 2.5 (1.29), p < 0.001). Among AF patients having a CHA2DS2-VASc ≥2, those with co-morbid SMI were less likely than non-SMI patients to be prescribed an OAC (44% vs 54%, p < 0.001). However, there was no evidence of a significant difference between the two groups since 2019.

CONCLUSION

Over recent years, DOAC prescription rates have increased among AF patients with SMI in acute hospitals. More research is needed to confirm whether the introduction of DOACs has reduced OAC treatment gaps in people with serious mental illness and to assess whether the use of DOACs has improved health outcomes in this population.

Disparities in oral anticoagulation initiation in patients with schizophrenia and atrial fibrillation: a nationwide cohort study

Aims

Schizophrenia is associated with poor anticoagulation control and clinical prognosis in patients with atrial fibrillation (AF). Little is known about initiation of oral anticoagulation therapy (OAC) in this patient population.

Methods

In the nationwide Danish health registries, we identified all patients with incident AF and schizophrenia with indication for OAC treatment. Patients with schizophrenia (n = 673) were matched 1:5 on sex, age, stroke risk score, and calendar‐period to incident AF patients without schizophrenia. We calculated absolute risk and risk difference (RD) of OAC initiation, adjusting for stroke and bleeding risk factors. Analyses were stratified by calendar period (2000–2011 and 2012–2018) to account for changes after the introduction of non‐vitamin K OACs (NOAC).

Results

Among patients with schizophrenia (mean age 69.5 years, 50.3% females), 33.7% initiated OAC within the first year after AF diagnosis, compared with 54.4% of patients without schizophrenia, corresponding to an adjusted RD of −20.7 (95% confidence interval [CI]: −24.7 to −16.7). OAC initiation increased over time regardless of schizophrenia status. During 2000–2011, 18.3% of patients with schizophrenia and 42.9% without schizophrenia initiated OAC (adjusted RD −23.6%, 95% CI −28.8 to −18.6). During 2012–2018, this was 48.5% and 65.7%, respectively (adjusted RD −14.4%, 95% CI −20.4 to −8.4).

Conclusion

Initiation of OAC was substantially lower among patients with AF and schizophrenia compared with matched AF peers. These findings accentuate the importance of close attention to disparities in initiation of OAC treatment, and potential missed opportunities for prevention of disabling strokes in AF patients with schizophrenia.

Mental Health Conditions and Nonpersistence of Direct Oral Anticoagulant Use in Patients With Incident Atrial Fibrillation: A Nationwide Cohort Study

Background Mental health conditions (MHCs) are associated with poor outcomes in patients with atrial fibrillation. However, persistence of oral anticoagulation therapy in patients with atrial fibrillation and MHCs is unknown. We aimed to evaluate the effect of MHCs on the persistence of direct oral anticoagulant (DOAC) use in patients with atrial fibrillation based on a nationwide cohort. Methods and Results The nationwide registry-based FinACAF (Finnish Anticoagulation in Atrial Fibrillation) cohort included 67 503 patients with incident atrial fibrillation and indication for permanent oral anticoagulation (CHA2DS2-VASc score >1 in men and >2 in women) starting DOAC therapy between 2011 and 2018. MHCs of interest were depression, bipolar disorder, anxiety disorder, schizophrenia, and composite of any MHC. The main outcome was nonpersistence of DOAC use, defined as the first 120-day period without DOAC purchases after drug initiation. The mean age of the patients was 75.3±8.9 years, 53.6% were women, and the prevalence of any MHC was 17.8%. Persistence after 1 year from DOAC initiation was 79.3% in patients without MHCs and 77.2% in patients with any MHC, and after 2 years were 64.4% and 60.6%, respectively (P<0.001). Higher incidence of nonpersistence to DOACs was observed in all MHC categories: adjusted subdistribution hazard ratios, 1.16 (95% CI, 1.11-1.21) for any MHC, 1.32 (95% CI, 1.22-1.42) for depression, 1.44 (95% CI, 1.15-1.80) for bipolar disorder, 1.25 (95% CI, 1.11-1.41) for anxiety disorder, and 1.30 (95% CI, 1.02-1.64) for schizophrenia. However, patients with only anxiety disorder without other MHCs were not at higher risk of nonpersistence. Conclusions MHCs are associated with nonpersistence of DOAC use. Registration URL: https://www.clinicaltrials.gov; Unique identifier: NCT04645537.

The effect of mental health conditions on the use of oral anticoagulation therapy in patients with atrial fibrillation: The FinACAF Study

Aims

Little is known about the effects of mental health conditions (MHCs) on the utilization of oral anticoagulation (OAC) therapy in atrial fibrillation (AF) patients. We aimed to assess whether MHCs affect initiation of OAC therapy among AF patients with special focus on non-vitamin K antagonist oral anticoagulants (NOACs).

Methods and results

The Finnish AntiCoagulation in Atrial Fibrillation (FinACAF) registry included all 239 222 patients diagnosed with incident AF during 2007–18 in Finland identified from national registries covering primary to tertiary care and drug purchases. Patients with previous depression, bipolar disorder, anxiety disorder, or schizophrenia diagnosis or a fulfilled psychiatric medication prescription within the year preceding the AF diagnosis were classified to have any MHC. The main outcome was OAC initiation, defined as first fulfilled OAC prescription after AF diagnosis. The patients’ mean age was 72.7 years and 49.8% were female. The prevalence of any MHC was 19.9%. A lower proportion of patients with any MHC compared with those without MHCs were initiated on OAC therapy (64.9% vs. 73.3%, P < 0.001). Any MHC was associated with lower incidence of OAC initiation [adjusted subdistribution hazard ratio (aSHR) 0.867; 95% confidence interval (CI) 0.856–0.880], as were depression (aSHR 0.868; 95% CI 0.856–0.880), bipolar disorder (aSHR 0.838; 95% CI 0.824–0.852), anxiety disorder (aSHR 0.840; 95% CI 0.827–0.854), and schizophrenia (aSHR 0.838; 95% CI 0.824–0.851), during the entire follow-up. Any MHC remained associated with impaired incidence of OAC initiation also in the NOAC era during 2015–18 (aSHR 0.821; 95% CI 0.805–0.837).

Conclusion

MHCs are common among AF patients, and they are associated with a lower rate of OAC initiation even during the NOAC era.