Current Antipsychotic Use Research Articles

Demographic predictors of lack of current mental health treatment among university students with a schizophrenia spectrum disorder

To identify the demographic predictors of lack of current mental health (MH) treatment among university students with a schizophrenia spectrum disorder (SSD). Adult university students with a self-identified diagnosis of an SSD (schizophreniform, schizophrenia, schizoaffective disorder) were identified from the 2019-2020 Healthy Minds Study survey. In this study, pertinent demographic factors included age, race/ethnicity, sex assigned at birth, gender identity, sexual orientation, parental education, financial stress, and employment. Multivariable modelling was used to investigate the demographic predictors of lack of current psychotherapy treatment, no current antipsychotic use, and lack of any MH treatment (defined as concurrent lack of psychotherapy and antipsychotic treatment). Of the 135 included students with a SSD, the median age was 23 years old and 79 (58.5%) were assigned female at birth. Fifty-five participants (40.7%) lacked any current MH treatment. In fully adjusted models, lack of current MH treatment was associated with working more than 20 h per week (OR 2.9 [1.2-7.1], p = 0.02). No current antipsychotic use was associated with Hispanic/Latino race/ethnicity (OR 4.2 (1.2-14.5), p = 0.04). Lack of current psychotherapy treatment was associated with cisgender male identity (OR 5.5 [2.0-15.2], p < 0.01), working greater than 20 hours per week (OR 6.5 [2.2-19.2], p < 0.01), and having one or more structural or attitudinal barriers to care (OR = 4.6 [1.5-13.9], p < 0.01). The demographic predictors of lack of current MH treatment varied between psychotherapy and antipsychotic use, suggesting university health centres should consider interventions targeting several at-risk populations to increase treatment use among students with a SSD.

Bipolar I and bipolar II subtypes in older age: Results from the Global Aging and Geriatric Experiments in Bipolar Disorder (GAGE-BD) project.

The distinction between bipolar I disorder (BD-I) and bipolar II disorder (BD-II) has been a topic of long-lasting debate. This study examined differences between BD-I and BD-II in a large, global sample of OABD, focusing on general functioning, cognition and somatic burden as these domains are often affected in OABD. Cross-sectional analyses were conducted with data from the Global Aging and Geriatric Experiments in Bipolar Disorder (GAGE-BD) database. The sample included 963 participants aged ≥50 years (714 BD-I, 249 BD-II). Sociodemographic and clinical factors were compared between BD subtypes including adjustment for study cohort. Multivariable analyses were conducted with generalized linear mixed models (GLMMs) and estimated associations between BD subtype and (1) general functioning (GAF), (2) cognitive performance (g-score) and (3) somatic burden, with study cohort as random intercept. After adjustment for study cohort, BD-II patients more often had a late onset ≥50 years (p=0.008) and more current severe depression (p=0.041). BD-I patients were more likely to have a history of psychiatric hospitalization (p < 0.001) and current use of anti-psychotics (p=0.003). Multivariable analyses showed that BD subtype was not related to GAF, cognitive g-score or somatic burden. BD-I and BD-II patients did not differ in terms of general functioning, cognitive impairment or somatic burden. Some clinical differences were observed between the groups, which could be the consequence of diagnostic definitions. The distinction between BD-I and BD-II is not the best way to subtype OABD patients. Future research should investigate other disease specifiers in this population.

Demographic and clinical characteristics of lithium-treated older adults with bipolar disorder.

There is limited information on the characteristics of older adults with bipolar disorder (OABD) treated with lithium, along with safety concerns about its use by older adults. The aim of the present study is to describe the demographic and clinical characteristics of OABD receiving lithium therapy, using data from the Global Ageing & Geriatric Experiments in Bipolar Disorder (GAGE-BD). Cross-sectional analysis of the GAGE-BD dataset to determine differences and similarities between lithium users and non-users. We analysed data from 986 participants aged 50 years or older (mean age 63.5 years; 57.5% females) from 12 study sites. Two subgroups ('Lithium'; 'Non-lithium') were defined according to the current prescription of lithium. We compared several outcomes between these groups, controlling for age, gender, and study site. OABD treated with lithium had lower scores on depression rating scales and were less likely to be categorised as with moderate or severe depression. There was a lower proportion of lithium users than non-users among those with evidence of rapid cycling and non-bipolar psychiatric diagnoses. Assessment of global cognitive state and functionality indicated better performance among lithium users. The current use of antipsychotics was less frequent among lithium users, who also reported fewer cardiovascular comorbidities than non-users. We found several potentially relevant differences in the clinical profile of OABD treated with lithium compared with those treated with other mood stabilisers. However, the interpretation of the present results must take into account the methodological limitations inherent to the cross-sectional approach and data harmonisation.

Cognitive impairment in euthymic patients with bipolar disorder: Prevalence estimation and model selection for predictors of cognitive performance

Objectives Although cognitive dysfunction is a prominent feature of bipolar disorder (BD), previous research presents limitations in estimating the proportion of euthymic patients experiencing clinically relevant deficits and identifying predictors of cognitive difficulties. We explored the relevance of recommended definitions of clinically significant cognitive impairment for functional outcomes, estimated its prevalence, and identified patient characteristics associated with cognition.Methods We assessed cognitive performance across four domains in 80 euthymic participants with BD. Participants were categorized based on two criteria for clinically significant cognitive impairment and we assessed the ability of these criteria to differentiate participant performance on established functional outcomes. Variable selection with elastic net regression was used to identify sociodemographic and clinical factors associated with cognitive performance. Selected variables were examined as predictors of clinically significant cognitive impairment with logistic regression.Results According to the selected criterion, 34% presented with clinically significant cognitive impairment. Poorer current cognitive performance was associated with older age, lower estimated premorbid IQ, more currently prescribed psychotropic medications, fewer previous psychological therapies, and current use of antipsychotics. A model with premorbid IQ, psychotropic medications and previous psychological therapies as predictors of cognitive impairment correctly classified 75% of the participants.Conclusions This is one of the first studies to use a model selection approach to identify factors associated with cognitive difficulties in BD. Our findings offer the initial steps towards a predictive model for cognitive impairment. This could improve treatment decisions and prioritization for euthymic patients with BD, particularly the implementation of cognitive interventions.

Antipsychotics Use Is Associated With Greater Adherence to Cardiometabolic Medications in Patients With Schizophrenia: Results From a Nationwide, Within-subject Design Study.

People with schizophrenia/schizoaffective disorder (schizophrenia) die early, largely due to cardiovascular-related mortality. Antipsychotics are associated with lower mortality. We aimed to explore whether antipsychotic use can reduce discontinuation of medications for cardiovascular risk factors and diseases ("cardiometacolic drugs"), using a within-study design controlling for subject-related factors. Persons diagnosed with schizophrenia between 1972 and 2014, aged <65 years at cohort entry were identified in Finnish national databases. Four subcohorts were formed based on cardiometabolic drug use during the follow-up period, 1996-2017, namely statin (n = 14,047), antidiabetic (n = 13,070), antihypertensive (n = 17,227), and beta-blocker (n = 21,464) users. To control for subject-related factors, including likelihood of adherence as a trait characteristic, we conducted a within-subject study comparing the risk of discontinuation of each cardiometabolic drug during periods on vs off antipsychotics within each subject. We also accounted for number of psychiatric and nonpsychiatric visits in sensitivity analyses. In 52,607 subjects with schizophrenia, any antipsychotic use vs nonuse was associated with decreased discontinuation risk of antidiabetics (adjusted hazard ratio [aHR] = 0.56, 95% confidence interval [CI] = 0.47-0.66), statins (aHR = 0.61, 95%CI = 0.53-0.70), antihypertensives (aHR = 0.63, 95%CI = 0.56-0.71), and beta-blockers (aHR = 0.79, 95%CI = 0.73-0.87). Antipsychotics ranking best for discontinuation of all cardiometabolic drug categories were clozapine (aHR range = 0.34-0.55), followed by olanzapine (aHR = 0.43-0.71). For statins, aHRs ranged from aHR = 0.30 (95%CI = 0.09-0.98) (flupentixol-long-acting injectable (LAI) to aHR = 0.71 (95%CI = 0.52-0.97) (risperidone-LAI), for anti-diabetic medications from aHR = 0.37 (95%CI = 0.28-0.50) (clozapine) to aHR = 0.70 (95%CI = 0.53-0.92) (quetiapine), for antihypertensives from aHR = 0.14 (95%CI = 0.04-0.46) (paliperidone-LAI) to aHR = 0.69 (95%CI = 0.54-0.88) (perphenazine), for beta-blockers from aHR = 0.55 (95%CI = 0.48-0.63) (clozapine) to aHR = 0.76 (95%CI = 0.59-0.99) (perphenazine-LAI). The decreased risk of discontinuation associated with antipsychotic use somewhat varied between age strata. Sensitivity analyses confirmed main findings. In this national database within-subject design study, current antipsychotic use was associated with substantially decreased risk of discontinuation of statins, anti-diabetics, antihypertensives, and beta-blockers, which might explain reduced cardiovascular mortality observed with antipsychotics in people with schizophrenia.

Clinicians’ delirium treatment practice, practice change, and influences: A national online survey

Background: Recent studies cast doubt on the net effect of antipsychotics for delirium. Aim: To investigate the influence of these studies and other factors on clinicians’ delirium treatment practice and practice change in palliative care and other specialties using the Theoretical Domains Framework. Design: Australia-wide online survey of relevant clinicians. Setting/participants: Registered nurses (72%), doctors (16%), nurse practitioners (6%) and pharmacists (5%) who cared for patients with delirium in diverse settings, recruited through health professionals’ organisations. Results: Most of the sample (n = 475): worked in geriatrics/aged (31%) or palliative care (30%); in hospitals (64%); and saw a new patient with delirium at least weekly (61%). More (59%) reported delirium practice change since 2016, mostly by increased non-pharmacological interventions (53%). Fifty-five percent reported current antipsychotic use for delirium, primarily for patient distress (79%) and unsafe behaviour (67%). Common Theoretical Domains Framework categories of influences on respondents’ delirium practice were: emotion (54%); knowledge (53%) and physical (43%) and social (21%) opportunities. Palliative care respondents more often reported: awareness of any named key study of antipsychotics for delirium (73% vs 39%, p < 0.001); changed delirium treatment (73% vs 53%, p = 0.017); decreased pharmacological interventions (60% vs 15%, p < 0.001); off-label medication use (86% vs 51%, p < 0.001: antipsychotics 79% vs 44%, p < 0.001; benzodiazepines 61% vs 26%, p < 0.001) and emotion as an influence (82% vs 39%, p < 0.001). Conclusion: Clinicians’ use of antipsychotic during delirium remains common and is primarily motivated by distress and safety concerns for the patient and others nearby. Supporting clinicians to achieve evidence-based delirium practice requires further work.

Use of antipsychotics and the risk of acute respiratory failure among adults: A disease risk score-matched nested case-control study.

Evidence on acute respiratory failure (ARF) from antipsychotics is scant, and only 1 population-based study examined this drug safety issue in chronic obstructive pulmonary disease patients. Antipsychotics have been frequently prescribed off-label in adults, but whether antipsychotic use carries an increased ARF risk among adult patients is uncertain. We adopted a nested case-control study analysing 716 493 adults aged ≥20 years, identified from the Taiwan nationwide healthcare claims records between January 2000 and December 2013. Among the study cohort, 7084 adults with ARF and 12,785 disease risk scored-matched randomly selected controls were analysed. Multivariable logistic regression models were employed to estimate odds ratios of ARF with antipsychotic usages. Current, recent, and recent past use of antipsychotics was associated with a 2.33-fold (95% confidence interval [CI] = 2.06-2.64), 1.79-fold (95% CI = 1.43-2.25) and 1.41-fold (95% CI = 1.20-1.66) increased risk of ARF, respectively, compared with nonuse, while antipsychotics discontinued >90 days carried no risk. A dose-dependent association was observed with current therapy of antipsychotics (test for trend, P < .001), in which antipsychotic use at >1 defined daily dose yielded the highest risk of 6.53-fold (95% CI = 3.33-12.79). The findings were robust to using carbamazepine as an active comparator. Antipsychotic use was associated with an increased risk of ARF in adult patients. The risk was dose-dependent and markedly higher with current use of antipsychotic agents at doses of 1 defined daily dose and above, <10% of this cohort. Physicians should be vigilant about any respiratory symptoms in patients currently receiving antipsychotics at such dose.

Antipsychotic use in Northern Italian inter-episode bipolar disorder patients: considering both second- and first-generation agents.

Evidence supports increasing antipsychotic use in bipolar disorder, especially second-generation antipsychotics. However, data regarding first-generation antipsychotic contemporary use are limited. We studied 380 Northern Italian bipolar disorder inter-episode patients, grouped according to current antipsychotic use, stratified by bipolar subtype (BDI vs. BDII). Furthermore, we compared first-generation antipsychotic users vs. non-users. In our sample (n = 357), 81.8% were taking antipsychotics (74% second-generation antipsychotics, 24.1% first-generation antipsychotics), with antipsychotic use in BDI significantly more prevalent than in BDII (85.2% vs. 72.0%). Overall, antipsychotic users vs. non-users had higher rates of hypo/manic last episode, lifetime psychiatric hospitalization, psychosis, and current psychotropic use, but lower rates of anxiety disorder main comorbidity and current antidepressant use. First-generation antipsychotic use rates (30.3% in BDI vs. 6.5% in BDII) were associated with more frequently being unpartnered, having elevated first/last episodes, higher lifetime hospitalization, involuntary commitment, psychosis, and psychosocial rehabilitation rates, and more current psychotropic use, but lower Global Assessment Functioning scores and less current antidepressant use. Bipolar disorder patients had robust antipsychotic (second-generation antipsychotic > first-generation antipsychotic) use, consistently with previous reports. FGAs were still prescribed for a substantial group of patients, likely suffering from severe bipolar disorder. Prescriptions need to be monitored to assess their appropriateness and adherence to evidence-based recommendations.

Understanding the neural mechanisms of lisdexamfetamine dimesylate (LDX) pharmacotherapy in Binge Eating Disorder (BED): a study protocol

BackgroundThe efficacy and safety of Lisdexamfetamine dimesylate (LDX) in the treatment of moderate to severe binge eating disorder (BED) has been demonstrated in multiple randomised clinical trials. Despite this, little is known about how LDX acts to improve binge eating symptoms. This study aims to provide a comprehensive understanding of the neural mechanisms by which LDX improves symptoms of BED. We hypothesise that LDX will act by normalising connectivity within neural circuits responsible for reward and impulse control, and that this normalisation will correlate with reduced binge eating episodes.MethodsThis is an open-label Phase 4 clinical trial of LDX in adults with moderate to severe BED. Enrolment will include 40 adults with moderate to severe BED aged 18–40 years and Body Mass Index (BMI) of 20–45 kg/m2, and 22 healthy controls matched for age, gender and BMI. Clinical interview and validated scales are used to confirm diagnosis and screen for exclusion criteria, which include comorbid anorexia nervosa or bulimia nervosa, use of psychostimulants within the past 6 months, and current use of antipsychotics or noradrenaline reuptake inhibitors. Baseline assessments include clinical symptoms, multimodal neuroimaging, cognitive assessment of reward sensitivity and behavioural inhibition, and an (optional) genetic sample. A subset of these assessments are repeated after eight weeks of treatment with LDX titrated to either 50 or 70 mg. The primary outcome measures are resting-state intrinsic connectivity and the number of binge eating episodes. Analyses will be applied to resting-state fMRI data to characterise pharmacological effects across the functional connectome, and assess correlations with symptom measure changes. Comparison of neural measures between controls and those with BED post-treatment will also be performed to determine whether LDX normalises brain function.DiscussionFirst enrolment was in May 2018, and is ongoing. This study is the first comprehensive investigation of the neurobiological changes that occur with LDX treatment in adults with moderate to severe BED.Trial registrationACTRN12618000623291, Australian and New Zealand Clinical Trials Registry URL: https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=374913&isReview=true. Date of Registration: 20 April 2018.

Association Between Urinary Tract Infections and Antipsychotic Drug Use in Older Adults.

Antipsychotic drugs are frequently prescribed to older adults, but they may be associated with serious adverse effects. The objective was to investigate the association between use of antipsychotics in older adults and the risk of urinary tract infections (UTIs).This study was designed as a cohort study.Data were obtained from the Clinical Practice Research Datalink from January 1, 2000, to September 29, 2016.Primary care patients 65 years or older in the United Kingdom with a first prescription for an oral antipsychotic were included in the study.Incidence of UTIs was calculated for periods with and without exposure to antipsychotic drugs in one cohort. Cox proportional hazard regression analysis with Andersen-Gill extension for recurrent events was used to calculate hazard ratios (HRs) with 95% confidence interval (CI).During the study period, 191,827 individuals with a first prescription for an oral antipsychotic drug were identified. Current use of antipsychotics was associated with an increased risk of UTI compared with past use (adjusted HR, 1.31; 95% CI, 1.28-1.34). This effect was strongest in the first 14 days of use (adjusted HR, 1.83; 95% CI, 1.73-1.95) and in individuals who used more than one antipsychotic drug concomitantly (adjusted HR, 1.64; 95% CI, 1.45-1.87). The risk was slightly higher for typical antipsychotics than for atypical antipsychotics. Stratification by sex showed that risk estimates were slightly higher in men than in women.Use of antipsychotics was associated with an increased risk of UTIs in both men and women, particularly in the first weeks after the start of treatment.

Atypical Antipsychotic Exposure May Not Differentiate Metabolic Phenotypes of Patients with Schizophrenia.

Patients with schizophrenia are known to have higher rates of metabolic disease than the general population. Contributing factors likely include lifestyle and atypical antipsychotic (AAP) use, but the underlying mechanisms are unknown. The objective of this study was to identify metabolomic variability in adult patients with schizophrenia who were taking AAPs and grouped by fasting insulin concentration, our surrogate marker for metabolic risk. Metabolomics analysis PARTICIPANTS: Ninety-four adult patients with schizophrenia who were taking an AAP for at least 6months, with no changes in their antipsychotic regimen for the previous 8weeks, and who did not require treatment with insulin, participated in the study. Twenty age- and sex-matched nonobese (10 subjects) and obese (10 subjects) controls without cardiovascular disease or mental health diagnoses were used to match the body mass index (BMI) range of the patients with schizophrenia to account for metabolite concentration differences attributable to BMI. Existing serum samples were used to identify aqueous metabolites (to differentiate fasting insulin concentration quartiles) and fatty acids with quantitative nuclear magnetic resonance and gas chromatography methods, respectively. To exclude metabolites from our pathway mapping analysis that were due to variability in weight, we also subjected serum samples from the nonobese and obese controls to the same analyses. Patients with schizophrenia had a median age of 47.0 years (interquartile range 41.0-52.0 years). Using a false discovery rate threshold of less than 25%, 10 metabolites, not attributable to weight, differentiated insulin concentration quartiles in patients with schizophrenia and identified variability in one-carbon metabolism between groups. Patients with higher fasting insulin concentrations (quartiles 3 and 4) also trended toward higher levels of saturated fatty acids compared with patients with lower fasting insulin concentrations (quartiles 1 and 2). Our results illustrate the utility of metabolomics to identify pathways underlying variable fasting insulin concentration in patients with schizophrenia. Importantly, no significant difference in AAP exposure was observed among groups, suggesting that current antipsychotic use may not be a primary factor that differentiates middle-aged adult patients with schizophrenia by fasting insulin concentration.

Possible factors influencing the duration of hospital stay in patients with psychiatric disorders attempting suicide by jumping

BackgroundPatients with psychiatric disorders have a high rate of suicide. The present study investigated factors influencing hospital stays for Japanese patients with psychiatric disorders attempting suicide by jumping.MethodsWe diagnosed all suicide attempts (n = 113) by jumping based on the International Classification of Diseases 10th Revision (ICD-10) and investigated the mean hospital stays of patients with each diagnosis based on the ICD-10 code. We then analyzed differences in the demographic and clinical characteristics between the diagnostic groups to identify factors influencing the duration of hospital stay.ResultsPatients diagnosed with schizophrenia (F2 code) were the most frequent (32.7%) of all diagnoses; therefore, we divided the diagnostic groups into schizophrenia group (n = 37) and other psychiatric diagnoses group (n = 76). The patients with schizophrenia showed a significantly longer hospital stay (125.7 ± 63.9 days) compared with the patients with other psychiatric diagnoses (83.6 ± 63.2) (β ± SE = 42.1 ± 12.7, p = 0.0013), whereas there was no difference in the jump height between the two groups (the average was the 3rd to 4th floor; p > 0.05). The number of injured parts, particularly lower-limb fractures, was significantly higher (p = 0.017) in patients with schizophrenia than in patients with other psychiatric diagnoses. The duration of psychiatric treatment in patients with schizophrenia were significantly longer (z = 3.4, p = 0.001) than in patients with other psychiatric diagnoses.ConclusionOur findings indicate that the number of injuries and the body parts injured in patients with schizophrenia are associated with a longer duration of hospital stay following a suicide attempt by jumping. The current use of antipsychotics and a longer duration of taking antipsychotics might contribute to the risk of bone fracture via hyperprolactinemia. Further cognitive impairment in patients with schizophrenia might prevent rehabilitation for the management of lower-limb fractures. From these results, we suggest that clinicians should monitor the level of prolactin and cognitive function in patients with schizophrenia in future studies on managing of lower-limb fractures.

Antipsychotic drug use associated with urinary tract infections in older women

ObjectivesAntipsychotic drugs are frequently prescribed to elderly patients, but they are associated with serious adverse effects. The objective of the current study was to investigate the association between use of antipsychotics by elderly women and the risk of urinary tract infections (UTIs). Cohort study settingDispensing data were obtained from the PHARMO Database Network for the period 1998–2008. ParticipantsAmbulatory Dutch women (≥65 years) with current and past use of antipsychotics. MeasurementsIncidence rates of UTIs, as defined by use of nitrofurantoin, was calculated within and outside the period of exposure to antipsychotic drugs. Cox proportional hazard regression analysis with Andersen-Gill extension for recurrent events was used to calculate crude and adjusted hazard ratios (HRs). ResultsDuring the study period, 18,541 women with a first prescription of an antipsychotic were identified. Current use of antipsychotics was associated with an increased risk of UTI compared to past use: HR, adjusted for age and history of UTIs, 1.33, 95% CI 1.27–1.39. A strong temporal relationship was found: the risk of being treated for a UTI was higher in the first week after the start of the treatment (adjusted HR 3.03, 95% CI 2.63–3.50) and decreased after 3 months (adjusted HR 1.22, 95% CI 1.17–1.28). Cumulative exposure was not associated with an increased risk of UTIs. There was no difference in effect between conventional and atypical antipsychotics. ConclusionOur results show an increased risk of uncomplicated UTIs during antipsychotic use in older female patients, especially in the first week of treatment.

Associations between mood instability and emotional processing in a large cohort of bipolar patients.

Aberrant emotional biases have been reported in bipolar disorder (BD), but results are inconsistent. Despite the clinical relevance of chronic mood variability in BD, there is no previous research investigating how the extent of symptom fluctuations in bipolar disorder might relate to emotional biases. This exploratory study investigated, in a large cohort of bipolar patients, whether instability in weekly mood episode symptoms and other clinical and demographic factors were related to emotional bias as measured in a simple laboratory task. Participants (N = 271, BDI = 206, BDII = 121) completed an 'emotional categorization and memory' task. Weekly self-reported symptoms of depression and mania were collected prospectively. In linear regression analyses, associations between cognitive bias and mood variability were explored together with the influence of demographic and clinical factors, including current medication. Greater accuracy in the classification of negative words relative to positive words was associated with greater instability in depressive symptoms. Furthermore, greater negative bias in free recall was associated with higher instability in manic symptoms. Participants diagnosed with BDII, compared with BDI, showed overall better word recognition and recall. Current antipsychotic use was associated with reduced instability in manic symptoms but this did not impact on emotional processing performance. Emotional processing biases in bipolar disorder are related to instability in mood. These findings prompt further investigation into the underpinnings as well as clinical significance of mood instability.

Impulsivity is associated with blood pressure and waist circumference among adolescents with bipolar disorder

ObjectiveCardiovascular risk factors (CVRFs) and impulsivity are common in bipolar disorder (BD), and CVRFs are also linked with impulsivity through a number of mechanisms, both behavioral and biological. This study examines the association between CVRFs and impulsivity in adolescents with BD. MethodsSubjects were 34 adolescents with BD and 35 healthy control (HC) adolescents. CVRFs were based on International Diabetes Federation metabolic syndrome criteria (triglycerides, high-density lipoprotein cholesterol, waist circumference, blood pressure (BP) and glucose). Impulsivity was measured using the computerized Cambridge Gambling Task (CGT). Analyses controlled for age, IQ, lifetime attention deficit hyperactivity disorder, and current antipsychotic use. ResultsAdolescents with BD had higher diastolic BP (73.36 ± 9.57 mmHg vs. 67.91 ± 8.74 mmHg, U = 401.0, p = 0.03), higher triglycerides (1.13 ± 0.60 mmol/L vs. 0.78 ± 0.38 mmol/L, U = 373.5, p = 0.008), and were more likely to meet high-risk criteria for waist circumference (17.6% vs. 2.9%, p = 0.04) vs. HC. Within the BD group, CGT sub-scores were correlated with CVRFs. For example, overall proportion bet was positively correlated with systolic (r = 0.387, p = 0.026) and diastolic (ρ = 0.404, p = 0.020) BP. Quality of decision-making was negatively correlated with systolic BP (ρ = −0.401, p = 0.021) and waist circumference (ρ = −0.534, p = 0.003). Significant interactions were observed, such that BD diagnosis moderates the relationship between both waist circumference and BP with CGT sub-scores. ConclusionBP and waist circumference are associated with impulsivity in BD adolescents, but not in HC adolescents. Future studies are warranted to determine temporality and to evaluate whether optimizing CVRFs improves impulsivity among BD adolescents.

Use of antipsychotics and risk of venous thromboembolism in postmenopausal women. A population-based nested case-control study.

Despite continued uncertainty of venous thromboembolism (VTE) caused from antipsychotic agents, this safety issue has not been examined in postmenopausal women, a population with high usages of antipsychotics and at high risk for VTE. We assessed whether antipsychotic use was associated with an increased VTE risk in women after menopause. We conducted a nested case-control study of all Taiwanese women aged ≥ 50 years (n = 316,132) using a nationwide healthcare claims database between 2000 and 2011. All newly diagnosed VTE patients treated with an anticoagulant or thrombectomy surgery were identified as cases (n = 2,520) and individually matched to select controls (n = 24,223) by cohort entry date, age, cancer diagnosis and major surgery procedure. The odds ratios (ORs) and 95 % confidence interval (CI) of VTE associated with antipsychotics were estimated by multivariate conditional logistic regressions. Current use of antipsychotics was associated with a 1.90-fold (95 % CI = 1.64-2.19) increased VTE risk compared with nonuse in postmenopausal women. The VTE risk existed in a dose-dependent fashion (test for trend, p<0.001), with a more than quadrupled risk for high-dose antipsychotics (adjusted OR = 4.60; 95 % CI = 2.88-7.33). Current parenteral administration of antipsychotics also led to a 3.46-fold increased risk (95 % CI = 2.39-5.00). Conversely, there was no increased VTE risk when antipsychotics were discontinued for > 30 days. In conclusion, current use of antipsychotics is significantly associated with a dose-dependent increased risk of VTE in postmenopausal women, especially for those currently taking high-dose or receiving parenteral antipsychotics.

Antipsychotic use and unexpected death: a hospital-based case-control study.

To examine the risk of unexpected death in patients prescribed an antipsychotic. Unexpected death was defined as death occurring within 7 days of the onset of acute symptoms. A case-control study conducted on events occurring between July 2009 and January 2011 in a UK mental health trust providing in-patient and out-patient services. The study included 100 cases (deaths) and 436 unmatched controls. Current users of antipsychotics had a lower risk of unexpected death than non-users--adjusted odds ratio (OR) 0.48 (95% CI 0.24-0.94, P = 0.033). A significant reduction in risk was seen for second-generation [adjusted OR 0.42 (95% CI 0.21-0.86, P = 0.018)], but not first-generation agents [adjusted OR 0.83 (95% CI 0.31-2.20, P = 0.706)]. Treatment with antipsychotics for any duration was associated with reduced risk. Dose and route of administration did not affect risk. In a planned secondary analysis not adjusting for cardiovascular disease, prescription of an antipsychotic was not associated with increased risk of unexpected death [adjusted OR 0.56 (95% CI 0.28-1.08, P = 0.084)]. Our findings do not support an association between current antipsychotic use and increased risk of unexpected death.

Antipsychotic drug exposure and risk of pulmonary embolism: a population-based, nested case-control study.

BackgroundOnly three observational studies investigated whether exposure to antipsychotics is associated with an increased risk of pulmonary embolism, with conflicting results. This study was therefore carried out to establish the risk of pulmonary embolism associated with antipsychotic drugs, and to ascertain the risk associated with first- and second-generation antipsychotic drugs, and with exposure to individual drugs.MethodsWe identified 84,253 adult individuals who began antipsychotic treatment in a large Italian health care system. Cases were all cohort members who were hospitalized for non-fatal or fatal pulmonary embolism during follow-up. Up to 20 controls for each case were extracted from the study cohort using incidence density sampling and matched by age at cohort entry and gender. Each individual was classified as current, recent or past antipsychotic user. The occurrence non-fatal or fatal pulmonary embolism was the outcome of interest.ResultsCompared to past use, current antipsychotic use more than double the risk of pulmonary embolism (odds ratio 2.31, 95% confidence interval 1.16 to 4.59), while recent use did not increase the risk. Both conventional and atypical antipsychotic exposure was associated with an increase in risk, and the concomitant use of both classes increased the risk of four times (odds ratio 4.21, 95% confidence interval 1.53 to 11.59).ConclusionsAdding the results of this case–control study to a recent meta-analysis of three observational studies substantially changed the overall estimate, which now indicates that antipsychotic exposure significantly increases the risk of pulmonary embolism.Electronic supplementary materialThe online version of this article (doi:10.1186/s12888-015-0479-9) contains supplementary material, which is available to authorized users.

Antipsychotic drugs and risk of idiopathic venous thromboembolism: a nested case-control study using the CPRD.

The evidence to date on the relationship between antipsychotic drugs and the risk of venous thromboembolism (VTE) is limited. Our aim was to examine the association between the use of typical and atypical antipsychotics and risk of VTE and to assess the effects of dose and duration of use. Among users of typical or atypical antipsychotics between 1998 and 2012 in the Clinical Practice Research Datalink, we identified all VTE cases aged 20-59 years with no major risk factors for VTE. From the same population, we randomly selected up to four controls for each case matched on age, sex, general practice, calendar time, and length of medical history. We estimated adjusted odds ratios (aORs) and 95% confidence intervals (CIs) of VTE for current and recent use of antipsychotics compared with non-use using conditional logistic regression. We identified 868 cases and 3158 matched controls. Compared with non-use, any current use of antipsychotics was associated with a marginally increased risk of VTE: aOR 1.26 (95%CI [0.97, 1.63]); for new users, the aOR was 3.21 (95%CI [1.64, 6.29]). Prochlorperazine and risperidone were associated with elevated risks of VTE (aORs 2.18, 95%CI [1.47, 3.25], and 1.83, 95%CI [0.88, 3.81], respectively). The risk of VTE with typical and atypical antipsychotics varies with type of drug and is highest just after starting the drug.

Effects of antipsychotic drugs on cardiovascular variability in participants with bipolar disorder

The risk for cardiovascular diseases is elevated in persons with bipolar disorder. However, it remains unknown how much of this excess risk is secondary to pharmacologic treatment. We tested the hypothesis that current and cumulative antipsychotic drug exposure is associated with increased cardiovascular risk as indicated by lower heart rate variability (HRV) and increased blood pressure variability (BPV). Fifty-five individuals with bipolar disorder (33 ± 7 years; 67% female) underwent noninvasive electrocardiogram assessment of time-domain and frequency-domain HRV, as well as BPV analysis. Medication histories were obtained through systematic review of pharmacy records for the past 5 years. Current antipsychotic exposure was associated with lower standard deviation of NN intervals. Second-generation antipsychotics were associated with lower standard deviation of NN intervals and root mean square of successive differences. There was no significant relationship between 5-year antipsychotic exposure and HRV in subjects with bipolar disorder. Exploratory analysis revealed a possible link between selective serotonin reuptake inhibitor exposure and increased low-frequency spectral HRV. Current antipsychotic use (particularly second-generation antipsychotics with high affinities for the D2S receptor) is associated with reduced autonomic-mediated variability of the HR. The absence of an association with cumulative exposure suggests that the effects are acute in onset and may therefore relate more to altered autonomic function than structural cardiovascular abnormalities. Future studies should prospectively examine effects of these antipsychotics on autonomic function.