Age, antipsychotics, and the risk of ischemic stroke in the Veterans Health Administration

Mental Health Treatment Among Nursing Home Residents With Alzheimer's Disease and Related Dementias

OBJECTIVES

To examine the prevalence of mental health treatment among nursing home (NH) long-stay residents with Alzheimer's disease and related dementias (ADRD) and explore factors associated with utilization.

DESIGN

Retrospective cohort study. Minimum Data Set data (April 2017-September 2018), Medicare Master Beneficiary Summary File, Part B Carrier file and Part D prescription file were used to identify mental illness and ADRD diagnoses, patient characteristics, and mental health treatment.

SETTING AND PARTICIPANTS

All US Medicare- or Medicaid-certified NHs. Fee-for-service Medicare beneficiaries aged 65 and older who had a quarterly or annual Minimum Data Set assessment with ADRD and were enrolled in Medicare Parts B and D. Two cohorts: residents with both ADRD and psychiatric disorders; residents with ADRD only.

METHODS

Primary outcomes: receipt of (1) any mental health treatment (medication or psychotherapy); (2) any psychotherapy in a calendar quarter.

SECONDARY OUTCOMES

antipsychotics, antidepressants, hypnotics, antiepileptics, short-session ( ≤ 30 minutes), long-session ( ≥ 45 minutes), and family/group psychotherapy. Covariates included predisposing, enabling characteristics, and needs factors. Generalized Estimating Equation models of quarterly data, nested within patients, were estimated for each outcome among each cohort.

RESULTS

Analyses included 1,913,945 resident-quarter observations from 503,077 unique NH long-stay residents. Overall, 68.5% of NH long-stay residents with ADRD have psychiatric disorders; of these, 85% received mental health treatment. African American or Hispanic residents were less likely to use antidepressants. African American residents or residents living in rural locations were less likely to receive long-session psychotherapy. Hispanic residents were more likely to receive long-session psychotherapy. Residents in minority groups were more likely to receive group/family psychotherapy.

CONCLUSIONS AND IMPLICATIONS

Most of NH long-stay residents with ADRD had psychiatric disorders and most of them received treatment. Antidepressants or long-session psychotherapy were less likely to be provided to African American residents. Factors that determine the efficacy of mental health treatment and reasons for the racial disparities require further exploration.

Comparison of mental health outcomes of augmenting medications for patients with posttraumatic stress disorder: A national veterans affairs study

RATIONALE

Posttraumatic stress disorder (PTSD) is highly prevalent among veterans. Many veterans with PTSD respond well to serotonin reuptake inhibitors (SRIs). Nonresponders may be prescribed augmenting medications, which are not as well-studied in PTSD.

AIMS AND OBJECTIVES

We used Veterans Health Administration electronic records to compare mental health outcomes (PTSD symptoms and rates of mental health hospitalizations and psychiatric emergency room visits) in patients with PTSD who were prescribed four different groups of augmenting medications (atypical antipsychotics, mirtazapine, prazosin or tricyclic antidepressants) in addition to SRIs-from the year before to the year after the start of the augmenting medication.

METHOD

We included data from 169,982 patients with a diagnosis of PTSD (excluding patients with comorbid bipolar or psychotic disorders) seen in Veterans Affairs care from 2007 to 2015 who were taking an SRI and filled a new prescription for one of the four augmenting medications for at least 60 days.

RESULTS

Patients evidenced minimal (<2%) reduction in PTSD symptoms and a larger reduction in psychiatric hospitalizations and psychiatric emergency room visits after receiving augmenting medications; this effect was largely similar across the four medication groups. Initiating augmenting medications was preceded by increases in PTSD symptoms, psychiatric hospitalizations and psychiatric emergency room visits. After initiating an augmenting medication, PTSD symptoms/hospitalizations/emergency room visits returned to baseline levels (before the start of the augmenting medication), but generally did not improve beyond baseline.

CONCLUSION

Importantly, these effects could be explained by regression to the mean, additional interventions or confounding. These findings should be further explored with placebo controlled randomized clinical trials.

How Telemedicine Can Improve the Quality of Care for Patients with Alzheimer's Disease and Related Dementias? A Narrative Review

Background and Objectives: Dementia affects more than 55 million patients worldwide, with a significant societal, economic, and psychological impact. However, many patients with Alzheimer's disease (AD) and other related dementias have limited access to effective and individualized treatment. Care provision for dementia is often unequal, fragmented, and inefficient. The COVID-19 pandemic accelerated telemedicine use, which holds promising potential for addressing this important gap. In this narrative review, we aim to analyze and discuss how telemedicine can improve the quality of healthcare for AD and related dementias in a structured manner, based on the seven dimensions of healthcare quality defined by the World Health Organization (WHO), 2018: effectiveness, safety, people-centeredness, timeliness, equitability, integrated care, and efficiency. Materials and Methods: MEDLINE and Scopus databases were searched for peer-reviewed articles investigating the role of telemedicine in the quality of care for patients with dementia. A narrative synthesis was based on the seven WHO dimensions. Results: Most studies indicate that telemedicine is a valuable tool for AD and related dementias: it can improve effectiveness (better access to specialized care, accurate diagnosis, evidence-based treatment, avoidance of preventable hospitalizations), timeliness (reduction of waiting times and unnecessary transportation), patient-centeredness (personalized care for needs and values), safety (appropriate treatment, reduction of infection risk),integrated care (interdisciplinary approach through several dementia-related services), efficiency (mainly cost-effectiveness) and equitability (overcoming geographical barriers, cultural diversities). However, digital illiteracy, legal and organizational issues, as well as limited awareness, are significant potential barriers. Conclusions: Telemedicine may significantly improve all aspects of the quality of care for patients with dementia. However, future longitudinal studies with control groups including participants of a wide educational level spectrum will aid in our deeper understanding of the real impact of telemedicine in quality care for this population.

Comparative Safety Signal Assessment of Hospitalization Associated With the Use of Atypical Antipsychotics

Background

Persons with symptoms of psychosis receiving treatment with atypical antipsychotics (AAPs) can experience serious adverse events (AEs) requiring admission to the hospital. The comparative likelihood of AE-related hospitalization following the use of all AAPs has not been fully characterized. Therefore, we evaluated the safety signals of hospitalizations associated with the use of AAPs.

Methods

We conducted a cross-sectional analysis using the FDA Adverse Event Reporting System (FAERS) database (from January 1, 2004, to December 31, 2021) to examine disproportionality in reporting hospitalizations suspected to be associated with 12 AAPs (aripiprazole, asenapine, brexpiprazole, clozapine, iloperidone, lurasidone, olanzapine, paliperidone, and pimavanserin, quetiapine, risperidone, and ziprasidone). Hospitalization in the FAERs database is an outcome that is recorded as a result of an AE occurring at any drug dose. We estimated reporting odds ratios (RORs) by comparing the odds of hospitalization occurring with a particular AAP to the odds of its occurrence with other drugs. In addition, we considered the presence of a significant safety signal when the lower limit of the 95% confidence interval (CI) of the ROR is >1.

Results

A total of 204,287 cases of hospitalizations were reported to the FDA for individuals treated with AAPs. There were significant safety signals of hospitalization associated with using clozapine (ROR, 2.88; 95% CI, 2.84-2.92), olanzapine (ROR, 2.61; 95% CI, 2.57-2.64), quetiapine (ROR, 1.87; 95% CI, 1.85-1.89), risperidone (ROR, 1.41; 95% CI, 1.39-1.43), aripiprazole (ROR, 1.34; 95% CI, 1.32-1.35), and ziprasidone (ROR, 1.14; 95% CI, 1.10-1.18). However, no hospitalization-related safety signals were observed with the use of paliperidone, pimavanserin, iloperidone, asenapine, lurasidone, and brexpiprazole. The ROR estimates were numerically higher among older adults than younger adults.

Conclusions

This cross-sectional assessment of data from FAERs (2004-2021) suggested that users of clozapine, olanzapine, quetiapine, risperidone, aripiprazole, and ziprasidone were more likely to report being hospitalized than users of other AAPs. Given that the FAERs database only contains spontaneous reports of AEs experienced by persons exposed to a drug but without information on exposed persons who did not have an event, a cohort study comparing hospitalizations among new users of individual AAPs against each other is needed to delineate these safety signals further.

One-Year Costs Associated With the Veterans Affairs National TeleStroke Program

OBJECTIVES

Access to timely care is important for patients with stroke, where rapid diagnosis and treatment affect functional status, disability, and mortality. Telestroke programs connect stroke specialists with emergency department staff at facilities without on-site stroke expertise. The objective of this study was to examine healthcare costs for patients with stroke who sought care before and after implementation of the US Department of Veterans Affairs National TeleStroke Program (NTSP).

METHODS

We identified 471 patients who had a stroke and sought care at a telestroke site and compared them to 529 patients with stroke who received stroke care at the same sites before telestroke implementation. We examined patient costs for 12 months before and after stroke, using a linear model with a patient-level fixed effect.

RESULTS

NTSP was associated with significantly higher rates of patients receiving guideline concordant care. Compared with control patients, those treated by NTSP were 14.3 percentage points more likely to receive tissue plasminogen activator and 4.3 percentage points more likely to receive a thrombectomy (all P < .0001). NTSP was associated with $4821 increased costs for patients with stroke in the first 30 days after the program (2019 dollars). There were no observed savings over 12 months, and the added costs of care were attributable to higher rates of guideline concordant care.

CONCLUSIONS

Telestroke programs are unlikely to yield short-term savings because optimal stroke care is expensive. Healthcare organizations should expect increases in healthcare costs for patients treated for stroke in the first year after implementing a telestroke program.

Risk of first ischaemic stroke and use of antidopaminergic antiemetics: nationwide case-time-control study

OBJECTIVE

To estimate the risk of ischaemic stroke associated with antidopaminergic antiemetic (ADA) use.

DESIGN

Case-time-control study.

SETTING

Data from the nationwide French reimbursement healthcare system database Système National des Données de Santé (SNDS).

PARTICIPANTS

Eligible participants were ≥18 years with a first ischaemic stroke between 2012 and 2016 and at least one reimbursement for any ADA in the 70 days before stroke. Frequencies of ADA reimbursements were compared for a risk period (days -14 to -1 before stroke) and three matched reference periods (days -70 to -57, -56 to -43, and -42 to -29) for each patient. Time trend of ADA use was controlled by using a control group of 21 859 randomly selected people free of the event who were individually matched to patients with stroke according to age, sex, and risk factors of ischaemic stroke.

MAIN OUTCOME MEASURES

Association between ADA use and risk of ischaemic stroke was assessed by estimating the ratio of the odds ratios of exposure evaluated in patients with stroke and in controls. Analyses were adjusted for time varying confounders (anticoagulants, antiplatelets, and prothrombotic or vasoconstrictive drugs).

RESULTS

Among the 2612 patients identified with incident stroke, 1250 received an ADA in the risk period and 1060 in the reference periods. The comparison with the 5128 and 13 165 controls who received an ADA in the same periods yielded a ratio of adjusted odds ratios of 3.12 (95% confidence interval 2.85 to 3.42). Analyses stratified by age, sex, and history of dementia showed similar results. Ratio of adjusted odds ratios for analyses stratified by ADA was 2.51 (2.18 to 2.88) for domperidone, 3.62 (3.11 to 4.23) for metopimazine, and 3.53 (2.62 to 4.76) for metoclopramide. Sensitivity analyses suggested the risk would be higher in the first days of use.

CONCLUSIONS

Using French nationwide exhaustive reimbursement data, this self-controlled study reported an increased risk of ischaemic stroke with recent ADA use. The highest increase was found for metopimazine and metoclopramide.

Stroke Risk Among Elderly Users of Haloperidol and Typical Antipsychotics Versus Atypical Antipsychotics: A Real-World Study From a US Health Insurance Claims Database

BACKGROUND

We estimated stroke risk associated with new exposure to haloperidol, or any typical antipsychotic, versus atypical antipsychotic among patients aged ≥65 years regardless of dementia status.

METHODS

IBM MarketScan Medicare Supplemental Database data (January 1, 2001 to December 31, 2017) were used. Stroke risk for new users of typical antipsychotics (T1 cohort) or haloperidol (T2 cohort) was compared with new users of atypical antipsychotics (C1 cohort) aged ≥65 years. Crude incidence rate (IR) and incidence proportion of stroke were estimated within each cohort and gender subgroup. Three propensity score (PS) matching strategies were employed: Unadjusted (crude), Sentinel PS replication, and a large-scale regularized regression model (adapted PS).

RESULTS

Overall, 36,734 (T1), 24,074 (T2), and 226,990 (C1) patients were included. Crude IRs for stroke per 1000 person-years were 17.67 (T1), 23.74 (T2), and 14.17 (C1). In preplanned analyses, PS-matched calibrated hazard ratio (cHR) for stroke T1 versus C1 cohort was 1.08 (95% calibrated confidence interval [cCI] = 0.75, 1.55) with Sentinel PS strategy and 1.31 (95% cCI = 1.07, 1.60) with adapted PS strategy. The cHR for stroke in patients of T2 versus C1 was 1.69 (95% cCI = 1.08, 2.75) with Sentinel PS strategy and 1.45 (95% cCI = 1.17, 1.80) with adapted PS strategy.

CONCLUSION

Stroke risk in elderly new users of haloperidol was elevated compared to new users of atypical antipsychotics and was elevated for typical antipsychotics using the adapted PS strategy.

Control yourself: ISPE-endorsed guidance in the application of self-controlled study designs in pharmacoepidemiology

PURPOSE

Consensus is needed on conceptual foundations, terminology and relationships among the various self-controlled "trigger" study designs that control for time-invariant confounding factors and target the association between transient exposures (potential triggers) and abrupt outcomes. The International Society for Pharmacoepidemiology (ISPE) funded a working group of ISPE members to develop guidance material for the application and reporting of self-controlled study designs, similar to Standards of Reporting Observational Epidemiology (STROBE). This first paper focuses on navigation between the types of self-controlled designs to permit a foundational understanding with guiding principles.

METHODS

We leveraged a systematic review of applications of these designs, that we term Self-controlled Crossover Observational PharmacoEpidemiologic (SCOPE) studies. Starting from first principles and using case examples, we reviewed outcome-anchored (case-crossover [CCO], case-time control [CTC], case-case-time control [CCTC]) and exposure-anchored (self-controlled case-series [SCCS]) study designs.

RESULTS

Key methodological features related to exposure, outcome and time-related concerns were clarified, and a common language and worksheet to facilitate the design of SCOPE studies is introduced.

CONCLUSIONS

Consensus on conceptual foundations, terminology and relationships among SCOPE designs will facilitate understanding and critical appraisal of published studies, as well as help in the design, analysis and review of new SCOPE studies. This manuscript is endorsed by ISPE.

Antipsychotics and Risk of Neuroleptic Malignant Syndrome: A Population-Based Cohort and Case-Crossover Study

BACKGROUND

Neuroleptic malignant syndrome (NMS) is a rare and acute adverse drug reaction associated with antipsychotic therapy. However, few data on the risk and epidemiology of NMS are available.

OBJECTIVES

The aim of this study was to ascertain the incidence risk and all-cause mortality of NMS associated with antipsychotic use, and to assess the association of recent antipsychotic exposure and NMS.

METHODS

We did a population-based study using data from the Hong Kong Hospital Authority's Clinical Data Analysis and Reporting System database. Cases had a first diagnosis of NMS between 1 January 2004 and 30 November 2017. A case-crossover analysis was used to compare antipsychotic exposure 30 days before the diagnosis of NMS (index date) and a reference period 91-120 days before the index date. To adjust for potential time trends in antipsychotic exposure, we sampled from cases to match current cases and future cases, and further adjusted for select medications and acute medical conditions.

RESULTS

297,647 patients were prescribed antipsychotics, and the incidence risk of NMS was 0.11%. Of the 336 cases included in the case-crossover analysis, 20 (6%) died within 30 days after the index date; only one case had NMS recorded as the primary cause of death. When compared with the reference period, cases were more frequently prescribed multiple antipsychotics (15.8% vs 26.8%; standardized mean difference [SMD] 0.27) and short-acting injectable antipsychotics (3.6% vs 13.7%; SMD 0.37) during the 30 days prior to the diagnosis of NMS. Odds ratios for antipsychotic exposure in the case-crossover, case-crossover adjusted for time trend, and case-crossover adjusted for time trend and potential confounders analysis were 8.00 (95% confidence interval 3.42-18.69), 5.88 (2.46-14.04), and 4.77 (1.95-11.66).

CONCLUSIONS

Our results suggest that recent use of antipsychotics is associated with NMS. Although a case-only design inherently controls for confounding by time-invariant factors, residual confounding by acute medical conditions with similar presentations to NMS cannot be fully excluded.

Neuropsychiatric issues after stroke: Clinical significance and therapeutic implications

A spectrum of neuropsychiatric disorders is a common complication from stroke. Neuropsychiatric disorders after stroke have negative effects on functional recovery, increasing the rate of mortality and disability of stroke survivors. Given the vital significance of maintaining physical and mental health in stroke patients, neuropsychiatric issues after stroke have raised concerns by clinicians and researchers. This mini-review focuses on the most common non-cognitive functional neuropsychiatric disorders seen after stroke, including depressive disorders, anxiety disorders, post-traumatic stress disorder, psychosis, and psychotic disorders. For each condition, the clinical performance, epidemiology, identification of the therapeutic implication, and strategies are reviewed and discussed; the main opinions and perspectives presented here are based on the latest controlled studies, meta-analysis, or updated systematic reviews. In the absence of data from controlled studies, consensus recommendations were provided accordingly.

Comparison of Different Case-Crossover Variants in Handling Exposure-Time Trend or Persistent-User Bias: Using Dipeptidyl Peptidase-4 Inhibitors and the Risk of Heart Failure as an Example

OBJECTIVES

Inappropriate use of the case-crossover design, which is efficient for examining associations between brief exposure and abrupt outcomes, in evaluating the effects of medications in the presence of exposure-time trends or persistent drug use may generate spurious associations. We compared different approaches to adjusting for these sources of bias by examining the risk of heart failure hospitalization (HFH) associated with dipeptidyl peptidase-4 (DPP-4) inhibitors. Overall, existing evidence does not suggest a higher risk of HFH associated with DPP-4 inhibitors; however, case-crossover analyses of these medications may be susceptible to bias.

METHODS

We conducted case-crossover; age, sex, risk-set (ASR) matched case-time-control; disease risk score (DRS)-matched case-time-control; and case-case-time-control analyses to assess the association between DPP-4 inhibitors and HFH among patients with diabetes mellitus (DM) in a population-based Taiwanese database. We also examined metformin and sulfonylureas, both with assumed null associations.

RESULTS

Among 362 022 DM patients, 4105 (case-crossover), 4103 (ASR-matched case-time-control), 3957 (DRS-matched case-time-control), and 2812 (case-case-time-control) HFH cases were identified. The OR for DPP-4 inhibitors and HFH was elevated in the case-crossover analysis (1.52; 95% confidence interval [95% CI] 0.95-2.42). The ASR-matched case-time control, DRS-matched case-time-control, and case-case-time control analyses yielded near-null associations (0.90 [95% CI 0.45-1.83], 0.96 [95% CI 0.46-2.02], and 0.92 [95% CI 0.39-2.21], respectively). Null effects were observed for metformin across designs and for sulfonylureas in the case-case-time control analysis.

CONCLUSIONS

Our case-crossover analysis suggested DPP-4 inhibitors may be associated with HFH; however, each method for adjusting for exposure-time and persistent user bias attenuated the findings. The case-case-time-control analysis had the least precision.

Antipsychotic drug use and risk of stroke and myocardial infarction: a systematic review and meta-analysis

BACKGROUND

The effect of antipsychotic (AP) drugs on risk of stroke and myocardial infarction (MI) remains unclear due to methodological limitations of, and inconsistencies across, existing studies. We aimed to systematically review studies reporting on the associations between AP drug use and stroke or MI risk, and to investigate whether associations differed among different sub-populations.

METHODS

We searched Medline, EMBASE, PsychINFO and Cochrane Library (from inception to May 28, 2017) for observational studies reporting on AP drug use and MI or stroke occurrence. We performed random-effects meta-analyses for each outcome, performing sub-groups analyses by study population - specifically general population (i.e. those not restricted to patients with a particular indication for AP drug use), people with dementia only and psychiatric illness only. Where feasible we performed subgroup analyses by AP drug class.

RESULTS

From 7008 articles, we included 29 relevant observational studies, 19 on stroke and 10 on MI. Results of cohort studies that included a general population indicated a more than two-fold increased risk of stroke, albeit with substantial heterogeneity (pooled HR 2.31, 95% CI 1.13, 4.74, I² = 83.2%). However, the risk among patients with dementia was much lower, with no heterogeneity (pooled HR 1.16, 95% CI 1.00, 1.33, I² = 0%) and there was no clear association among studies of psychiatric populations (pooled HR 1.44, 95% CI 0.90, 2.30; substantial heterogeneity [I² = 78.8])). Associations generally persisted when stratifying by AP class, but few studies reported on first generation AP drugs. We found no association between AP drug use and MI risk (pooled HR for cohort studies: 1.29, 95% CI 0.88, 1.90 and case-control studies: 1.07, 95% CI 0.94, 1.23), but substantial methodological and statistical heterogeneity among a relatively small number of studies limits firm conclusions.

CONCLUSIONS

AP drug use may be associated with an increased risk of stroke, but there is no clear evidence that this risk is further elevated in patients with dementia. Further studies are need to clarify the effect of AP drug use on MI and stroke risk in different sub-populations and should control for confounding by indication and stratify by AP drug class.

Behavioral Emergencies: Special Considerations in the Geriatric Psychiatric Patient

This article reviews psychiatric considerations and common psychiatric emergencies in the elderly. The elderly are vulnerable to medication side-effects because of pharmacokinetic changes from aging, and require lower doses and slower titration. They are a high-risk group for suicide, with more serious intent, fewer warning signs, and more lethality. Prompt diagnosis and treatment of delirium in emergency settings is essential, given association with worse outcomes when undiagnosed. Pharmacologic options with demonstrable efficacy for agitation in dementia are limited to antipsychotics, which are, however, associated with an increased risk of mortality; behavioral interventions are universally recommended as first-line measures.

Antipsychotics and the Risk of Cerebrovascular Accident: A Systematic Review and Meta-Analysis of Observational Studies

BACKGROUND

Studies investigating the association between antipsychotic use and the risk of cerebrovascular accident (CVA) showed inconsistent results.

AIM

Conduct a systematic review and meta-analysis to evaluate whether use of antipsychotics is associated with increased risk of CVA.

METHODS

Major electronic databases were searched from 1970 to October 2016 for observational studies investigating the risk of CVA among users of antipsychotics. Pooled estimates of odds ratios (ORs) and 95% confidence intervals (CIs) were obtained by random effects meta-analysis.

RESULTS

Of 1171 citations identified, 10 studies were considered eligible. Significant increase in risk of CVA was associated with first-generation antipsychotics (OR 1.49; 95% CI 1.24-1.77) but not with second-generation antipsychotics (OR 1.31; 95% CI 0.74-2.30). Use of any antipsychotics in patients with dementia was associated with a low risk of CVA (OR 1.17; 95% CI 1.08-1.26).

CONCLUSIONS

The available evidence suggests use of with first-generation antipsychotics as opposed to second-generation antipsychotics significantly increased the risk of CVA.

Mortality and use of psychotropic medication in patients with stroke: a population-wide, register-based study

OBJECTIVES

The study sought to describe whether psychotropic medication may have long-term side effects in patients with stroke compared with controls.

SETTING

Use of national register data from healthcare services were identified from the Danish National Patient Registry in Denmark. Information about psychotropic medication use was obtained from the Danish Register of Medicinal Product Statistics.

OBJECTIVES

We aimed to evaluate all-cause mortality in relation to the use of benzodiazepines, antidepressants and antipsychotics in patients with stroke and matched controls.

PARTICIPANTS

Patients with a diagnosis of stroke and either no drug use or preindex use of psychotropic medication (n=49,968) and compared with control subjects (n=86,100) matched on age, gender, marital status and community location.

PRIMARY OUTCOME MEASURE

All-cause mortality.

RESULTS

All-cause mortality was higher in patients with previous stroke compared with control subjects. Mortality HRs were increased for participants prescribed serotonergic antidepressant drugs (HR=1.699 (SD=0.030), p=0.001 in patients; HR=1.908 (0.022), p<0.001 in controls, respectively), tricyclic antidepressants (HR=1.365 (0.045), p<0.001; HR=1.733 (0.022), p<0.001), benzodiazepines (HR=1.643 (0.040), p<0.001; HR=1.776 (0.053), p<0.001), benzodiazepine-like drugs (HR=1.776 (0.021), p<0.001; HR=1.547 (0.025), p<0.001), first-generation antipsychotics (HR=2.001 (0.076), p<0.001; HR=3.361 (0.159), p<0.001) and second-generation antipsychotics (HR=1.645 (0.070), p<0.001; HR=2.555 (0.086), p<0.001), compared with no drug use. Interaction analysis suggested statistically significantly higher mortality HRs for most classes of psychotropic drugs in controls compared with patients with stroke.

CONCLUSIONS

All-cause mortality was higher in patients with stroke and controls treated with benzodiazepines, antidepressants and antipsychotics than in their untreated counterparts. Our findings suggest that care should be taken in the use and prescription of such drugs, and that they should be used in conjunction with adequate clinical controls.

Prescription Stimulant Use and Hospitalization for Psychosis or Mania: A Population-Based Study

Small studies suggest that prescription stimulants can precipitate psychosis and mania. We conducted a population-based case-crossover study to examine whether hospitalization for psychosis or mania was associated with initiation of stimulant therapy. Between October 1, 1999 and March 31, 2013, we studied 12,856 young people who received a stimulant prescription and were subsequently hospitalized for psychosis or mania. Of these, 183 commenced treatment during 1 of 2 prespecified 60-day intervals (defined as the "risk interval" and "control interval," respectively) prior to admission. We found that stimulant initiation was associated with an increased risk of hospitalization for psychosis or mania in the subsequent 60 days (odds ratio, 1.86; 95% confidence interval, 1.39-2.56). The risk was marginally higher in patients treated with antipsychotic drugs (odds ratio, 2.06; 95% confidence interval, 1.38-3.28), but remained in patients with no such history (odds ratio, 1.66; 95% confidence interval, 1.09-2.66). One third of subjects received another stimulant prescription after hospital discharge. Of these, 45% were readmitted with psychosis or mania shortly thereafter. We conclude that initiation of prescription stimulants is associated with an increased risk of hospitalization for psychosis or mania. Resumption of therapy is common, which may reflect a lack of awareness of the potential causative role of these drugs.

Association of Selected Antipsychotic Agents With Major Adverse Cardiovascular Events and Noncardiovascular Mortality in Elderly Persons

BACKGROUND

Data from observational studies have raised concerns about the safety of treatment with antipsychotic agents (APs) in elderly patients with dementia, but this area has been insufficiently investigated. We performed a head-to-head comparison of the risk of major adverse cardiovascular events and noncardiovascular mortality associated with individual APs (ziprasidone, olanzapine, risperidone, quetiapine, levomepromazine, chlorprothixen, flupentixol, and haloperidol) in Danish treatment-naïve patients aged ≥70 years.

METHODS AND RESULTS

We followed all treatment-naïve Danish citizens aged ≥70 years that initiated treatment with APs for the first time between 1997 and 2011 (n=91 774, mean age 82±7 years, 35 474 [39%] were men). Incidence rate ratios associated with use of different APs were assessed by multivariable time-dependent Poisson regression models. For the first 30 days of treatment, compared with risperidone, incidence rate ratios of major adverse cardiovascular events were higher with use of levomepromazine (3.80, 95% CI 3.43 to 4.21) and haloperidol (1.85, 95% CI 1.67 to 2.05) and lower for treatment with flupentixol (0.54, 95% CI 0.45 to 0.66), ziprasidone (0.31, 95% CI 0.10 to 0.97), chlorprothixen (0.76, 95% CI 0.61 to 0.95), and quetiapine (0.68, 95% CI 0.58 to 0.80). Relationships were generally similar for long-term treatment. The majority of agents were associated with higher risks among patients with cardiovascular disease compared with patients without cardiovascular disease (P for interaction <0.0001). Similar results were observed for noncardiovascular mortality, although differences in associations between patients with and without cardiovascular disease were small.

CONCLUSIONS

Our study suggested some diversity in risks associated with individual APs but no systematic difference between first- and second-generation APs. Randomized placebo-controlled studies are warranted to confirm our findings and to identify the safest agents.

Are the safety profiles of antipsychotic drugs used in dementia the same? An updated review of observational studies

With an increase in the global prevalence of dementia, there is also an increase in behavioural and psychological symptoms of dementia (BPSD) for which antipsychotic drugs are often used. Despite several safety warnings on antipsychotic use in dementia, there is little evidence to support the efficacy of antipsychotics in individual BPSD symptoms or to evaluate the drug safety profile by individual antipsychotic drug. There is emerging but scarce evidence that suggests an inter-drug variability between antipsychotic safety outcomes in BPSD. The objective of this review was to examine the existing literature on antipsychotic drug use in dementia patients; in particular to see whether inter-drug differences regarding antipsychotic safety were reported. A literature search was conducted for observational studies published in the English language from 2004 to 2014 that reported the risk of all-cause mortality, cerebrovascular events, pneumonia and other outcomes such as hip/femur fracture, deep vein thrombosis (DVT) and hyperglycaemia. Six of 16 mortality studies (38%), 7 of 28 stroke studies (25%), 1 of 6 pneumonia (17%) studies and 2 of 6 fracture studies (33%) investigated inter-drug safety outcomes in elderly patients/dementia patients, while to our knowledge, there are no studies investigating the inter-drug variation of deep-vein thrombosis and hyperglycaemia risk. The results of the observational studies provide mixed results on the safety of antipsychotics in BPSD but it is clear that there are differences between the safety profiles of antipsychotic drugs. Robust evidence of such inter-drug variability could significantly improve patient safety as antipsychotics become more targeted to clinical risk factors.

Antipsychotic exposure prior to acute myocardial infarction in patients with serious mental illness

OBJECTIVE

To investigate the association between acute myocardial infarction (AMI) and recent exposure to antipsychotic agents in people with serious mental illness (SMI), and modifying influences.

METHOD

A case-crossover design was applied using the Taiwan National Health Insurance Research Database (NHIRD) to compare the exposure frequency of antipsychotic agents within individuals of schizophrenia or bipolar disorder between 60-day case and control periods prior to their first AMI episode during 1996-2007.

RESULTS

A sample of 834 patients with incident AMI was analysed. AMI was significantly associated with more recent antipsychotic exposure in schizophrenia after adjustment (OR 1.87, 95% confidence interval 1.15-3.03) bipolar disorder (OR 1.06, 0.51-2.21). This association in schizophrenia was significantly stronger in men and in patients without previous diagnoses of cardiovascular risk factors.

CONCLUSION

These findings are consistent with a short-term risk effect of antipsychotic exposure on risk of AMI and identify potentially vulnerable groups. Further research is required to clarify underlying biological mechanisms.

Quantifying the role of adverse events in the mortality difference between first and second-generation antipsychotics in older adults: systematic review and meta-synthesis

BACKGROUND

Observational studies have reported higher mortality among older adults treated with first-generation antipsychotics (FGAs) versus second-generation antipsychotics (SGAs). A few studies examined risk for medical events, including stroke, ventricular arrhythmia, venous thromboembolism, myocardial infarction, pneumonia, and hip fracture.

OBJECTIVES

1) Review robust epidemiologic evidence comparing mortality and medical event risk between FGAs and SGAs in older adults; 2) Quantify how much these medical events explain the observed mortality difference between FGAs and SGAs.

DATA SOURCES

Pubmed and Science Citation Index.

STUDY ELIGIBILITY CRITERIA, PARTICIPANTS, AND INTERVENTIONS

Studies of antipsychotic users that: 1) evaluated mortality or medical events specified above; 2) restricted to populations with a mean age of 65 years or older 3) compared FGAs to SGAs, or both to a non-user group; (4) employed a "new user" design; (5) adjusted for confounders assessed prior to antipsychotic initiation; (6) and did not require survival after antipsychotic initiation. A separate search was performed for mortality estimates associated with the specified medical events.

STUDY APPRAISAL AND SYNTHESIS METHODS

For each medical event, we used a non-parametric model to estimate lower and upper bounds for the proportion of the mortality difference-comparing FGAs to SGAs-mediated by their difference in risk for the medical event.

RESULTS

We provide a brief, updated summary of the included studies and the biological plausibility of these mechanisms. Of the 1122 unique citations retrieved, we reviewed 20 observational cohort studies that reported 28 associations. We identified hip fracture, stroke, myocardial infarction, and ventricular arrhythmias as potential intermediaries on the causal pathway from antipsychotic type to death. However, these events did not appear to explain the entire mortality difference.

CONCLUSIONS

The current literature suggests that hip fracture, stroke, myocardial infarction, and ventricular arrhythmias partially explain the mortality difference between SGAs and FGAs.

[Psychosis, cardiovascular risk and associated mortality: are we on the right track?]

Patients with psychotic disorders have a higher risk of early mortality. In addition to unnatural causes (accidents, suicide), death due to cardiovascular (CV) reasons is two to four times more prevalent in these patients than in the general population. This non-systematic review of MEDLINE aims to clarify the role of all the determining factors are involved. Psychotic disorders are related to unhealthy life habits such as smoking, poor diet and physical inactivity. Neuroleptic drugs have also been studied as triggers of obesity and metabolic syndrome. Therefore, psychotic patients seem predisposed to suffer from several of the «classic» CV risk factors. It is not surprising that their scores on the CV risk scales (Framingham, SCORE) are higher than the general population. We also found publications that showed poorer management of primary and secondary prevention of CV disease. In addition, some biochemical factors (plasma levels of cortisol, ACTH, homocysteine, PCR) may indicate a vulnerability in psychosis per se, as well as the findings on hyperglycemia and insulin resistance in psychotic "drug naive" patients. These "non-classical" factors could alter the validity of CV risk scales designed for the general population. Furthermore, antipsychotic drugs could control intrinsic factors of psychosis (they have shown to reduce global mortality), and their role in CV mortality is not clear.

Antipsychotic drug use and the risk of venous thromboembolism in elderly patients with dementia

The aim of this study was to investigate the association between the use of antipsychotics and the risk of venous thromboembolism (VTE) in elderly patients with dementia. Based on data from the German Pharmacoepidemiological Research Database, a nested case-control study was conducted within a cohort of 72,591 patients with dementia aged at least 65 years at cohort entry. Cases were patients with a hospitalization due to VTE. Up to 4 controls were matched to each case according to age, sex, health insurance, and calendar time of the VTE. Users of antipsychotics were classified into current or former users, and in addition, all current users were categorized as prevalent or new users. For a further analysis, we distinguished between users of either conventional or atypical antipsychotics or concurrent users of both conventional and atypical antipsychotics. Multivariate conditional logistic regression was applied to calculate odds ratios (ORs) of VTE for all user groups compared with nonusers. The case-control data set comprised 1028 VTE cases and 4109 controls. An increased risk of VTE was found for current users (OR, 1.23; 95% confidence interval [CI], 1.01-1.50) and for users of a combination of atypical and conventional antipsychotics (OR, 1.62; 95% CI, 1.15-2.27). In current users, only new use was associated with an increased risk (OR, 1.63; 95% CI, 1.10-2.40). Increased attention to clinical signs of VTE should be paid during the first 3 months of treatment with antipsychotics and in patients receiving both conventional and atypical agents, especially if other risk factors for VTE exist.