Cardiovascular Effects of Psychotropic Drugs

Electrocardiogram abnormalities and associated factors among psychiatric patients attending follow up at Jimma Medical Center Psychiatry Clinic, Jimma, Ethiopia: an institution-based cross-sectional study

BACKGROUND

Psychiatric patients have two to three-fold higher risk of cardiovascular morbidity and mortality as compared to the general population. Despite the high rate of cardiovascular disease, about 80% of patients with psychiatric disorders have fewer opportunities for cardiovascular disease screening. Early detection of subclinical cardiovascular disease using an electrocardiogram can improve the clinical outcomes of these patients. However, in Ethiopia, no previous study had been conducted on electrocardiogram abnormalities and associated factors among psychiatric patients. Hence, this study aimed to assess the electrocardiogram abnormalities and associated factors among psychiatric patients attending follow-up at Jimma Medical Center, Jimma, Ethiopia.

METHODS

An institution-based cross-sectional study was carried out among psychiatric patients attending Jimma Medical Center Psychiatry Clinic from October 14 to December 10, 2021. An interviewer-administered structured questionnaire was used to collect socio-demographic data, behavioral factors, disease-related and medication-related data. Anthropometry and blood pressure were measured following the standard protocols. A resting 12 lead ECG was recorded according to the standard recording protocol of the Minnesota code. Data were entered into Epi data version 4.6 and exported to SPSS version 25. Results of the descriptive analysis were summarized by frequencies, means, and proportions, and presented by using tables and figures. Bivariable and multivariable logistic regressions were performed. p value < 0.05 was considered statistically significant.

RESULT

A total of 315 psychiatric patients were included in the present study. The mean age (SD) of the respondents was 36.27 ± 10.85 years. ECG abnormalities were identified among 191 (60.6%) respondents. Age older than 40 years [AOR = 3.31: 95% CI 1.58-6.89], treatment with antipsychotics [AOR = 4.16: 95% CI 1.25-13.79], polytherapy [AOR = 3.13: 95% CI 1.15-8.62], having schizophrenia [AOR = 3.11: 95% CI 1.20-8.11], and illness duration of > 10 years [AOR = 4.25: 95% CI 1.72-10.49] were significantly associated with ECG abnormalities.

CONCLUSIONS

In the present study, six out of ten respondents had ECG abnormalities. Age of the respondents, treatment with antipsychotics, having schizophrenia, polytherapy and illness duration of > 10 years were significant predictors of ECG abnormalities. Routine ECG investigation should be performed in the psychiatry treatment setting and further studies are recommended to delineate factors affecting ECG abnormalities.

Cardiovascular disease risk factors in autistic adults: The impact of sleep quality and antipsychotic medication use

Approximately 40% of American adults are affected by cardiovascular disease (CVD) risk factors (e.g., high blood pressure, high cholesterol, diabetes, and overweight or obesity), and risk among autistic adults may be even higher. Mechanisms underlying the high prevalence of CVD risk factors in autistic people may include known correlates of CVD risk factors in other groups, including high levels of perceived stress, poor sleep quality, and antipsychotic medication use. A sample of 545 autistic adults without intellectual disability aged 18+ were recruited through the Simons Foundation Powering Autism Research, Research Match. Multiple linear regression models examined the association between key independent variables (self-reported perceived stress, sleep quality, and antipsychotic medication use) and CVD risk factors, controlling for demographic variables (age, sex assigned at birth, race, low-income status, autistic traits). Overall, 73.2% of autistic adults in our sample had an overweight/obesity classification, 45.3% had high cholesterol, 39.4% had high blood pressure, and 10.3% had diabetes. Older age, male sex assigned at birth, and poorer sleep quality were associated with a higher number of CVD risk factors. Using antipsychotic medications was associated with an increased likelihood of having diabetes. Poorer sleep quality was associated with an increased likelihood of having an overweight/obesity classification. Self-reported CVD risk factors are highly prevalent among autistic adults. Both improving sleep quality and closely monitoring CVD risk factors among autistic adults who use antipsychotic medications have the potential to reduce risk for CVD.

Association of non-shockable initial rhythm and psychotropic medication in sudden cardiac arrest

Background

Asystole (ASY) and pulseless electrical activity (PEA) have a poor outcome during sudden cardiac arrest (SCA). Psychotropic medication has been associated with a risk for sudden cardiac death (SCD). Our aim was to study the association of psychotropic medication with ASY/PEA during SCA.

Methods and results

A total of 659 SCA subjects were derived from the emergency data of Oulu University Hospital (2007-2012). Subjects with non-cardiac origin of SCA and over 30-minute delay to rhythm recording were excluded. Population included 222 subjects after exclusions (mean age 64 ± 14 years, 78% males). Initial rhythm was ventricular fibrillation (VF) or ventricular tachycardia (VT) in 123 (55%), ASY in 67 (30%) and PEA in 32 (14%) subjects. The delay (collapse to rhythm recording) was similar in VF/VT and ASY/PEA subjects (median 8 min [1st-3rd quartile 3-12 min] versus 10 [0-14] minutes, p = 0.780). Among VF/VT subjects underlying cardiac disease was more often ischemic compared to ASY/PEA subjects (85% versus 68%, p = 0.003). Psychotropic medication was associated with ASY/PEA rhythm (OR 3.18, 95%CI 1.40-7.23, p = 0.006) after adjustment for gender, age and underlying cardiac disease. Subsequently, antipsychotics (OR 4.27, 95%CI 1.28-14.25, p = 0.018) were more common in the ASY/PEA group. Benzodiazepines and antidepressants were not associated with ASY/PEA.

Conclusion

Psychotropic medication and especially antipsychotics are associated with non-shockable rhythm during SCA and may lower the possibility of survival from the event. This might partly explain the risk of SCD related to psychotropic medication.

Impact of Mood on Endothelial Function and Arterial Stiffness in Bipolar Disorder

Background

Previous research in bipolar disorder demonstrates greater than expected vascular dysfunction later in the course of illness, proportionate to the cumulative burden of mood symptoms. However, little is known about the effect of acute mood states on vascular function. Here we examine the relation between vascular function and mood state in individuals with bipolar disorder.

Method

This prospective study followed 40 individuals with bipolar disorder for up to 6 months. Participants were assessed for mood state and vascular function at baseline, 2 weeks, and 6 months. Mood state was determined using clinician-administered Montgomery-Åsberg Depression Rating Scale and Young Mania Rating Scale. Vascular function was assessed by flow-mediated dilation (FMD) of the brachial artery, forearm vascular resistance (FVR), and arterial stiffness.

Results

Participants had a mean age of 30.1 years and 75% were male. Primary outcome measures FMD and nitroglycerine-mediated dilation were not found to have statistically significant associations with depressive or manic symptoms. In unadjusted models, higher manic symptoms were significantly associated with increased FVR nitroprusside-mediated dilation and diastolic blood pressure. In adjusted models, higher depressive symptoms were significantly associated with increases in augmentation index adjusted for heart rate of 75 bpm, and higher manic symptoms remained associated with increases in diastolic blood pressure.

Conclusion

FMD may have limited sensitivity as a biomarker for measuring short-term effects of mood state. Longer-term prospective studies are needed to clarify the temporal relation between chronic mood symptoms and vascular function in bipolar disorder.

Psychopharmacology and Cardiovascular Disease

This review discusses common mental health disorders and their associations with cardiovascular disease risks. Commonly found mental health disorders include depression, anxiety, and personality types. The link between depression and cardiovascular disease mortality has been established. Depression is also common in patients with heart failure. In addition to discussing psychological disorders, a review of psychotropic drugs is also included. Drugs are described for therapy for depression and anxiety, as well as associations with cardiovascular drug-drug interactions. Drug-drug interactions are more common and potentially dangerous in elderly patients, in whom the conditions often coexist. The most common drug-drug interactions involve the P450 system of enzymes.

Antiepileptic medications and the risk for sudden cardiac death caused by an acute coronary event: a prospective case-control study

BACKGROUND

Epilepsy is associated with sudden death, but the reasons for this association are not well known. Objective We studied the role of antiepileptic drugs (AEDs) as a factor contributing to sudden cardiac death (SCD) in The Finnish Study of the Genotype and Phenotype Characteristics of Sudden Cardiac Death (FinGesture).

METHODS AND RESULTS

The FinGesture study compares the characteristics of victims of SCD caused by an autopsy-verified acute coronary event (cases) vs. survivors of an acute coronary event (ACS) (controls). The study population comprised 3737 cases (mean age 64 ± 12 y) and 3081 controls (mean age 66 ± 12 y). The use of AED was obtained from death certificates, autopsy/hospital records, national drug imbursement register, and interviews with the relatives. AEDs were more commonly used by the victims of SCD vs. controls (5.5% vs. 2.2%, adjusted odds ratio 2.7, 95% CI; 1.9-3.9; p < 0001). The use of AED for non-epilepsy indications was also more common in the cases than in controls (1.5% vs. 1.0%, p = 0.005).

CONCLUSION

A higher rate of AED was observed in victims of SCD than in a control group of ACS patients. Concomitant use of AED could be responsible for a small fraction of deaths due to acute coronary events. Key message Epilepsy has been associated with sudden cardiac death. The use of antiepileptic drugs seems to be associated with an increased risk of sudden cardiac death during a coronary event. Physicians should be aware of the risk related to antiepileptic drugs especially when used for other reasons than epilepsy.

Prevalence of QTc interval changes in acute psychiatric care: a cross-sectional study

INTRODUCTION

In a case series we examined the prevalence and incidence of QT changes during a 1-week interval in hospitalized patients in a general psychiatry ward during a 6-month period.

METHOD

This cross-sectional study was done on electrocardiographic QT interval of patients admitted to the Psychiatric Department of Taleghani Hospital during a 6-month period excluding subjects with underlying cause of QT prolongation.

RESULTS

Admission and follow-up electrocardiograms of 27 men and 47 women were studied, there was significant QT prolongation during hospitalization (P value 0.001) in approximately 30% of subjects, irrespective of type of administered medication.

CONCLUSION

Pro-arrhythmic changes as reflected in QTc prolongation and QTc dispersion in electrocardiograms are common in patients admitted in psychiatric wards irrespective of type of therapy and should be screened and followed by serial electrocardiograms to minimize untoward cardiac outcomes.

Vital exhaustion and cardiovascular prognosis in myocardial infarction and heart failure: predictive power of different trajectories

BACKGROUND

We examined the different trajectories of vital exhaustion (VE) over a 12-month period and their impact on prognosis in a sample of myocardial infarction (MI) and chronic heart failure (CHF) patients.

METHOD

Consecutive MI (n=407) and CHF patients (n=297) were assessed at baseline, and at 3- and 12-month follow-up for symptoms of VE. Latent growth mixture modelling was used to examine the course of VE over time. The combined clinical endpoint was defined as cardiac hospital readmission or death.

RESULTS

Four distinct trajectories for VE were found: low VE, decreasing VE, increasing VE, and severe VE. Sex, marital status, left ventricular ejection fraction, psychotropic medication, sample group (CHF v. MI) and depressive symptoms were associated with VE, varying according to classes. The mean follow-up period was 25.3 months in which 34.7% of the patients experienced an event. Multivariate Cox regression showed that, compared with patients in the low VE class, patients in the increasing VE class [hazard ratio (HR)=1.16, 95% confidence interval (CI) 1.58-3.61, p=0.01], and the severe VE class (HR=1.69, 95% CI 1.31-2.64, p=0.02) had an increased risk for adverse cardiovascular events (i.e. cardiovascular hospital readmission or cardiovascular death). Decreasing VE was not related to adverse cardiovascular events (HR=0.97, 95% CI 0.66-1.69, p=0.81).

CONCLUSIONS

VE trajectories varied across cardiac patients, and had a differential effect on cardiovascular outcome. Increasing VE and severe VE classes were predictors of poor cardiovascular prognosis. These results suggest that identification of cardiac patients with an increased risk of adverse health outcomes should be based on multiple assessments of VE.

Depressive and anxiety disorders and risk of subclinical atherosclerosis Findings from the Netherlands Study of Depression and Anxiety (NESDA)

OBJECTIVE

Current evidence regarding the association between psychopathology and subclinical atherosclerosis show inconsistent results. The present study examined whether subclinical atherosclerosis was more prevalent in a large cohort of persons with depressive or anxiety disorders as compared to non-depressed and non-anxious controls.

METHODS

Baseline data from the Netherlands Study of Depression and Anxiety were used, including 2717 persons, free of clinical cardiovascular disease. Participants had a DSM-IV-based current or remitted depressive (major depressive disorder, dysthymia) or anxiety (social phobia, generalized anxiety disorder, panic disorder, agoraphobia) disorder (n=2115) or were healthy controls (n=602). Additional clinical characteristics (severity, duration, age of onset and medication) were assessed. Ankle-brachial index (ABI) was used as a measure of vascular risk and was categorized as low (<or=0.90) and mildly low ABI (0.90-1.11) indicating subclinical atherosclerosis, and high ABI (>1.40), which was previously designated as a cardiovascular risk factor, reflecting arterial stiffness and wall calcification.

RESULTS

As compared to normal controls, persons with current (i.e., past year) depressive, anxiety or comorbid depressive and anxiety disorders showed a two- to threefold increased odds of low ABI (OR=2.78, 95% CI=1.05-7.35; OR=3.14, 95% CI=1.25-7.85; OR=2.67, 95% CI=1.09-6.51, respectively). No associations were found with mildly low or high ABI. Also, we did not further find a differential role for symptoms severity, duration, age of onset, and use of psychotropic medication in the link between psychopathology and subclinical atherosclerosis.

CONCLUSION

Persons with current depressive or anxiety disorders were more likely to have subclinical atherosclerosis compared to healthy controls.

Increased risk of acute myocardial infarction for patients with panic disorder: a nationwide population-based study

OBJECTIVE

To examine prospectively the relationship between a diagnosis of panic disorder and the risk of acute myocardial infarction within 1 year of follow-up. Panic disorder is associated prospectively with coronary artery disease, but the risk of acute myocardial infarction associated with panic disorder has not been specifically investigated.

METHOD

This nationwide population-based study used data from the Taiwan National Health Insurance Research Database covering the years 2000 to 2005. A total of 9641 patients diagnosed with panic disorder in 2004 were included, together with 28,923 matched nonpanic disorder enrollees as a comparison cohort. Cox proportional hazard regressions were conducted to compute hazard ratios, after adjustment for comorbid medical disorders and sociodemographic characteristics.

RESULTS

Results indicated that 4.77% of patients with panic disorder (approximately one in 21) experienced an acute myocardial infarction episode within a year, compared with 2.73% of patients in the comparison cohort. The adjusted hazard of acute myocardial infarction was significantly higher (1.75 times, 95% Confidence Interval = 1.55-1.97) for patients with panic disorder, relative to the comparison cohort. The association persisted in further analyses stratified by hypertension, coronary heart diseases, and age.

CONCLUSION

Panic disorder was identified as an independent risk factor for subsequent acute myocardial infarction. Comprehensive multidisciplinary approaches are needed to optimize primary and secondary prevention of acute myocardial infarction among patients with panic disorder.