Time to re-evaluate the risks and benefits of valproate and a call for action.

Valproate is widely used in psychiatry and neurology, including off-label use. Here we consider its potential benefits and risks, particularly for women of childbearing potential, and the evidence that clinical guidelines are adhered to. Finally, we consider the implications for clinical practice and research into its efficacy in off-label indications.

Cannabinoids in psychiatry: they are here to stay.

Cannabinoids are commonly perceived by the public as safe and effective for improving mental health, despite limited evidence to support their use. We discuss reasons why cannabinoids may be particularly compelling for our patients and provide strategies for how psychiatrists can counsel and educate patients on the evidence regarding cannabinoids.

Clozapine-induced myocarditis: electronic health register analysis of incidence, timing, clinical markers and diagnostic accuracy.

BACKGROUND: Clozapine is associated with increased risk of myocarditis. However, many common side-effects of clozapine overlap with the clinical manifestations of myocarditis. As a result, there is uncertainty about which signs, symptoms and investigations are important in distinguishing myocarditis from benign adverse effects of clozapine. Clarity on this issue is important, since missing a diagnosis of myocarditis or discontinuing clozapine unnecessarily may both have devastating consequences. AIMS: To examine the clinical characteristics of clozapine-induced myocarditis and to identify which signs and symptoms distinguish true myocarditis from other clozapine adverse effects. METHOD: A retrospective analysis of the record database for 247 621 patients was performed. A natural language processing algorithm identified the instances of patients in which myocarditis was suspected. The anonymised case notes for the patients of each suspected instance were then manually examined, and those whose instances were ambiguous were referred for an independent assessment by up to three cardiologists. Patients with suspected instances were classified as having confirmed myocarditis, myocarditis ruled out or undetermined. RESULTS: Of 254 instances in 228 patients with suspected myocarditis, 11.4% (n = 29 instances) were confirmed as probable myocarditis. Troponin and C-reactive protein (CRP) had excellent diagnostic value (area under the curve 0.975 and 0.896, respectively), whereas tachycardia was of little diagnostic value. All confirmed instances occurred within 42 days of clozapine initiation. CONCLUSIONS: Suspicion of myocarditis can lead to unnecessary discontinuation of clozapine. The 'critical period' for myocarditis emergence is the first 6 weeks, and clinical signs including tachycardia are of low specificity. Elevated CRP and troponin are the best markers for the need for further evaluation.

Benzodiazepines: it's time to return to the evidence.

SUMMARY: We propose that discussions of benzodiazepines in the current psychiatric literature have become negatively biased and have strayed from the scientific evidence base. We advocate returning to the evidence in discussing benzodiazepines and adhering to clear definitions and conceptual rigour in commentary about them.

Towards safer risperidone prescribing in Alzheimer's disease.

BACKGROUND: In the treatment of psychosis, agitation and aggression in Alzheimer's disease, guidelines emphasise the need to 'use the lowest possible dose' of antipsychotic drugs, but provide no information on optimal dosing. AIMS: This analysis investigated the pharmacokinetic profiles of risperidone and 9-hydroxy (OH)-risperidone, and how these related to treatment-emergent extrapyramidal side-effects (EPS), using data from The Clinical Antipsychotic Trials of Intervention Effectiveness in Alzheimer's Disease study (Clinicaltrials.gov identifier: NCT00015548). METHOD: A statistical model, which described the concentration-time course of risperidone and 9-OH-risperidone, was used to predict peak, trough and average concentrations of risperidone, 9-OH-risperidone and 'active moiety' (combined concentrations) (n = 108 participants). Logistic regression was used to investigate the associations of pharmacokinetic biomarkers with EPS. Model-based predictions were used to simulate the dose adjustments needed to avoid EPS. RESULTS: The model showed an age-related reduction in risperidone clearance (P < 0.0001), reduced renal elimination of 9-OH-risperidone (elimination half-life 27 h), and slower active moiety clearance in 22% of patients, (concentration-to-dose ratio: 20.2 (s.d. = 7.2) v. 7.6 (s.d. = 4.9) ng/mL per mg/day, Mann-Whitney U-test, P < 0.0001). Higher trough 9-OH-risperidone and active moiety concentrations (P < 0.0001) and lower Mini-Mental State Examination (MMSE) scores (P < 0.0001), were associated with EPS. Model-based predictions suggest the optimum dose ranged from 0.25 mg/day (85 years, MMSE of 5), to 1 mg/day (75 years, MMSE of 15), with alternate day dosing required for those with slower drug clearance. CONCLUSIONS: Our findings argue for age- and MMSE-related dose adjustments and suggest that a single measure of the concentration-to-dose ratio could be used to identify those with slower drug clearance.

Selective serotonin reuptake inhibitor 'discontinuation syndrome' or withdrawal.

Attempts to define selective serotonin reuptake inhibitor (SSRI) withdrawal with the term 'discontinuation syndrome' are not supported by evidence. Acknowledging that SSRI use can result in dependence and withdrawal allows patients to be better informed around decisions related to these drugs, and helps inform strategies for safe tapering as appropriate.

Treatment concerns for psychiatric symptoms in patients with COVID-19 with or without psychiatric disorders.

Many psychiatric patients have been infected with COVID-19, and patients with COVID-19 may develop psychiatric symptoms after treatment with antiviral drugs. Given the tolerability and minimal P450 interactions, antidepressants (i.e., citalopram, escitalopram etc.), antipsychotics (i.e., olanzapine) and valproate can be considered to be safe in combination with antiviral drugs.

Barriers to monitoring and management of cardiovascular and metabolic health of patients prescribed antipsychotic drugs: a systematic review.

BACKGROUND: The use of atypical antipsychotics which currently form the primary choice pharmacotherapy for several mental health conditions have been linked to cardiovascular and metabolic side effects. This systematic review aimed to investigate the barriers to monitoring and management of cardiovascular co-morbidities in patients prescribed antipsychotic medicines. METHODS: A protocol-led (CRD-42018106002) systematic literature review was conducted by searching Medline, Embase, and PsycINFO databases 2003 until October 2019. Cochrane, Centre for Review and Dissemination (CRD) and PRISMA guidelines were followed. Studies investigating barriers to monitoring and management of cardiovascular co-morbidities in patients prescribed antipsychotic medicines were included. RESULTS: A total of 23 records were included. Key barriers included a) health-care system-related factors such as lack of knowledge and expertise amongst care providers, available resources, confusion around remit and roles, fragmentation of care such as across general practitioners and psychiatrists, and time constraints and b) patient-related factors such as disability resulting from mental health conditions, knowledge and skills of the patients. CONCLUSION: Barriers to monitoring and management of cardiovascular and metabolic health of patients taking antipsychotic medicines are multidimensional. Apart from educational interventions directed to both patients and health-care professionals, the results suggest a need for the improvement of wider system-related factors to improve physical health of patients prescribed antipsychotic medicines. Clearer guidelines, clarity of remit and roles amongst service providers are necessary in addition to educational interventions directed at patients and health-care professionals in improving physical health monitoring, counselling and management of patients prescribed antipsychotic medicines. TRIAL REGISTRATION: A protocol was developed and registered with PROSPERO as per PRISMA-P guidelines ( CRD 42018106002 ).

New opioid use and risk of opioid-related adverse events among adults with intellectual and developmental disabilities in Ontario, Canada.

BACKGROUND: Individuals with intellectual and developmental disability (IDD) can have a high prevalence of pain, which can be managed with prescription opioids. However, the prevalence of substance use disorder is also high in this population, raising concern about opioid-related adverse events. AIMS: To assess the risk of opioid-related adverse events following opioid initiation among adults with versus without IDD. METHOD: We conducted a population-based, propensity score matched cohort study on all adults starting prescription opioid therapy in Ontario, Canada, between January 2013 and December 2018. The outcomes of interest were opioid toxicity, new opioid use disorder (OUD) diagnosis and dose escalation (≥90 mg morphine or equivalent) in the year after opioid initiation. We used Cox proportional hazards models to assess the association between IDD diagnosis and each outcome. RESULTS: The hazards of opioid toxicity and OUD were significantly higher in those with IDD compared with those without IDD in unmatched analyses (opioid toxicity hazard ratio 3.19, 95% CI 2.81-5.18; OUD hazard ratio 2.36, 95% CI 2.10-2.65), whereas the hazard of dose escalation was significantly lower (hazard ratio 0.76, 95% CI 0.66-0.88). Findings were no longer significant in propensity score matched models for opioid toxicity and dose escalation, whereas the hazard of OUD diagnosis was attenuated substantially in those with IDD (hazard ratio 0.79, 95% CI 0.68-0.91). CONCLUSIONS: IDD diagnosis is not a driver of opioid-related harm. The increased risk we observed is likely driven by various risk factors often present in this population.

Protocol for a pharmacogenomic study on individualised antipsychotic drug treatment for patients with schizophrenia.

BACKGROUND: Schizophrenia is a severe and complex psychiatric disorder that needs treatment based on extensive experience. Antipsychotic drugs have already become the cornerstone of the treatment for schizophrenia; however, the therapeutic effect is of significant variability among patients, and only around a third of patients with schizophrenia show good efficacy. Meanwhile, drug-induced metabolic syndrome and other side-effects significantly affect treatment adherence and prognosis. Therefore, strategies for drug selection are desperately needed. In this study, we will perform pharmacogenomics research and set up an individualised preferred treatment prediction model. AIMS: We aim to create a standard clinical cohort, with multidimensional index assessment of antipsychotic treatment for patients with schizophrenia. METHOD: This trial is designed as a randomised clinical trial comparing treatment with different kinds of antipsychotics. A total sample of 2000 patients with schizophrenia will be recruited from in-patient units from five clinical research centres. Using a computer-generated program, the participants will be randomly assigned to four treatment groups: aripiprazole, olanzapine, quetiapine and risperidone. The primary outcomes will be measured as changes in the Positive and Negative Syndrome Scale of schizophrenia, which reflects the efficacy. Secondary outcomes include the measure of side-effects, such as metabolic syndromes. The efficacy evaluation and side-effects assessment will be performed at baseline, 2 weeks, 6 weeks and 3 months. RESULTS: This trial will assess the efficacy and side effects of antipsychotics and create a standard clinical cohort with a multi-dimensional index assessment of antipsychotic treatment for schizophrenia patients. CONCLUSION: This study aims to set up an individualized preferred treatment prediction model through the genetic analysis of patients using different kinds of antipsychotics.

Catatonic features in children and adolescents with N-methyl-d-aspartate receptor antibody encephalitis.

Catatonia is a psychomotor dysregulation syndrome of diverse aetiology, increasingly recognised as a prominent feature of N-methyl-d-aspartate receptor antibody encephalitis (NMDARE) in adults. No study to date has systematically assessed the prevalence and symptomatology of catatonia in children with NMDARE. We analysed 57 paediatric patients with NMDARE from the literature using the Bush-Francis Catatonia Rating Scale. Catatonia was common (occurring in 86% of patients), manifesting as complex clusters of positive and negative features within individual patients. It was both underrecognised and undertreated. Immunotherapy was the only effective intervention, highlighting the importance of prompt recognition and treatment of the underlying cause of catatonia.

Development and clinimetric assessment of a nurse-administered screening tool for movement disorders in psychosis.

BACKGROUND: Movement disorders associated with exposure to antipsychotic drugs are common and stigmatising but underdiagnosed. AIMS: To develop and evaluate a new clinical procedure, the ScanMove instrument, for the screening of antipsychotic-associated movement disorders for use by mental health nurses. METHOD: Item selection and content validity assessment for the ScanMove instrument were conducted by a panel of neurologists, psychiatrists and a mental health nurse, who operationalised a 31-item screening procedure. Interrater reliability was measured on ratings for 30 patients with psychosis from ten mental health nurses evaluating video recordings of the procedure. Criterion and concurrent validity were tested comparing the ScanMove instrument-based rating of 13 mental health nurses for 635 community patients from mental health services with diagnostic judgement of a movement disorder neurologist based on the ScanMove instrument and a reference procedure comprising a selection of commonly used rating scales. RESULTS: Interreliability analysis showed no systematic difference between raters in their prediction of any antipsychotic-associated movement disorders category. On criterion validity testing, the ScanMove instrument showed good sensitivity for parkinsonism (90%) and hyperkinesia (89%), but not for akathisia (38%), whereas specificity was low for parkinsonism and hyperkinesia, and moderate for akathisia. CONCLUSIONS: The ScanMove instrument demonstrated good feasibility and interrater reliability, and acceptable sensitivity as a mental health nurse-administered screening tool for parkinsonism and hyperkinesia. DECLARATION OF INTEREST: None.