Antipsychotic-induced extrapyramidal side effects: A systematic review and meta-analysis of observational studies

Antipsychotic prescription patterns among schizophrenia patients in Guangdong Province, China's 686 program: A retrospective study

Schizophrenia is a severe mental disorder. However, there is limited data on the prescribing patterns of patients under China's Central Government Support for the Local Management and Treatment of Severe Mental Illnesses Program, known as the "686 program." This study aimed to investigate the use of antipsychotic medications and associated factors among discharged schizophrenia patients in Guangdong Province, within the 686 Program. This study encompassed schizophrenia patients who were discharged from the Affiliated Brain Hospital, Guangzhou Medical University and enrolled in the 686 Program between January 2019 and December 2019. A total of 1645 hospitalized schizophrenia patients were included in the analysis. Clinical and sociodemographic data were acquired from medical records upon discharge. A total of 15 unique antipsychotic medications were utilized, comprising 4 first-generation (FGAs) and 11 second-generation (SGAs) options. FGAs were prescribed at a rate of 8.3%, while SGAs dominated at 98.8%. Risperidone (40.8%), olanzapine (30.2%), clozapine (24.6%), and amisulpride (15.4%) emerged as the top 4 prescribed medications. Additionally, mood stabilizers were used by 20.4%, antidepressants by 14.8%, sedative-hypnotics by 33.6%, anticholinergics by 26.9%, and other internal medicine drugs by 46.4%. Notably, 60.5% received antipsychotic monotherapy (AMT), while 39.5% underwent antipsychotic polypharmacy (APP). Predictors of polypharmacy included multiple hospital admissions, longer hospital stays, and undergoing modified Electroconvulsive Therapy (mECT) during hospitalization. In Guangdong Province, China's 686 Program, hospitalized patients commonly receive multiple antipsychotic medications simultaneously. Due to the varying outcomes in current studies on the benefits and risks of polypharmacy, it's vital to educate psychiatrists about the importance of AMT to reduce APP. Additionally, randomized, controlled trials are essential to identify the safest and most effective antipsychotic combinations, as well as to understand which patient profiles may benefit from these combinations.

Guideline concordant screening and monitoring of extrapyramidal symptoms in patients prescribed antipsychotic medication: a protocol for a systematic literature review and narrative synthesis

INTRODUCTION

Given the increasing rates of antipsychotic use in multiple psychiatric conditions, greater attention to the assessment, monitoring and documentation of their side effects is warranted. While a significant degree of attention has been provided to metabolic side effect monitoring, comparatively little is known about how clinicians screen for, document and monitor the motor side effects of antipsychotics (ie, parkinsonism, akathisia, dystonia and dyskinesias, collectively 'extrapyramidal side effects', EPS). This review aims to systematically assess the literature for insights into current trends in EPS monitoring practices within various mental health settings globally.

METHODS AND ANALYSIS

An electronic search will be performed using the OVID Medline, PubMed, Embase, CINAHL and APA PsycINFO databases for studies published in the last quarter century (1998 to present day). Two independent reviewers will conduct the initial title and abstract screenings, using predetermined criteria for inclusion and exclusion. A third reviewer will resolve disagreements if consensus cannot be reached. If selected for inclusion, full-text data extraction will then be conducted using a pilot-tested data extraction form. Quality assessment will be conducted for all included studies using a modified version of the Quality Improvement Minimum Quality Criteria Set. A narrative synthesis and summary of the data will be provided. All stages of the review process will be reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.

ETHICS AND DISSEMINATION

Ethical approval is not required. Findings will be peer reviewed, published and shared verbally, electronically and in print with interested clinicians and will also be presented as posters or talks at relevant medical conferences and meetings.

PROSPERO REGISTRATION NUMBER

CRD42023482372.

The Relationship Between Antipsychotics, Cognitive Enhancers, and Major Adverse Cardiovascular/Cerebrovascular Events (MACCE) in Older Adults with Behavioral and Psychological Symptoms of Dementia

BACKGROUND AND OBJECTIVES

Antipsychotics and cognitive enhancers are often used to treat psychosis and behavioral disturbances in individuals with dementia; however, these drugs have been linked with various adverse events including both metabolic and cerebro/cardiovascular events. Thus, this study sought to estimate the risk of major adverse cardiovascular/cerebrovascular events (MACCE) across four behavioral and psychological symptoms of dementia (BPSD) treatment models by exploring potential associations between antipsychotics (APs), cognitive-enhancing medications, dosage, and earlier MACCE onset.

METHODS

Patients were obtained from the Loma Linda University Medical Center database who were age ≥ 50 or older and who were diagnosed with dementia and BPSD symptoms. Treatment group and drug dosing were analyzed using Cox regression analyses to predict time until MACCE onset. Patient age at dementia diagnosis, sex, smoking status, race/ethnicity, and previous MACCE diagnoses were included as covariate variables.

RESULTS

The final study population consisted of 1162 individuals. Results indicated a significant effect of medication type on duration until MACCE, (p < 0.001), with the odds of experiencing a MACCE being 96.3% higher for individuals treated with both APs and cognitive enhancers (p < 0.001). There was also a significant effect of AP dosage on duration until MACCE (p < 0.001) and a significant effect of cognitive enhancer dosage on duration until a MACCE, (p < 0.001). The odds of experiencing a MACCE sooner were 238% higher for those on high doses of APs (p < 0.001) and 76% higher for individuals on high doses of cognitive enhancers (p < 0.010).

CONCLUSION

The use of APs at high doses was associated with the greatest risk of an adverse medical outcome in older adults with dementia with concurrent behavioral symptoms. Use of AP medications in this population should include close monitoring for cardiovascular/cerebrovascular events.

Outcome of Drug-Induced Parkinsonism in the Elderly: A Permanent Nonprogressive Parkinsonian Syndrome May Occur Following Discontinuation of Cinnarizine and Flunarizine

Parkinsonism induced by dopamine receptor antagonists, traditionally considered completely reversible following offending drug withdrawal, may unmask a degenerative parkinsonism in the patients with an underlying subclinical disease. In elderly patients, parkinsonism induced by the calcium channel blockers such as piperazine derivates cinnarizine and flunarizine may persist following drug discontinuation resulting in a permanent nonprogressive syndrome fulfilling the criteria for tardive parkinsonism. Whether this outcome occurs also following exposure to dopamine receptor antagonists such as neuroleptics and benzamide derivates or represents a class effect of the voltage-gated L-type calcium channel blockers, such as cinnarizine and flunarizine, due to their complex pharmacodynamic properties remains to be established.

Evaluation of Global Dystonia Rating Scale as a predictor of unfavorable outcomes among acute antipsychotics poisoned patients

Worldwide, acute antipsychotic poisoning results in high morbidities and mortalities. Though extrapyramidal syndromes are commonly associated, the extent of extrapyramidal syndromes in relation to the severity of antipsychotic poisoning has not been addressed yet. Thus, this study aimed to assess the Global Dystonia Rating Scale (GDRS) as an unfavorable outcomes predictive tool in acute antipsychotic poisoning. A cross-sectional study included 506 antipsychotic-poisoned patients admitted to Tanta University Poison Control Center, Egypt, over three years was conducted. The mean GDRS was 9.1 ± 16.7 in typical antipsychotic poisoning, which was significantly higher than that of atypical antipsychotics (4.2 ± 11.5) (p = 0.003). Patients with GDRS> 20 showed significantly higher liability for all adverse outcomes (p < 0.05). However, poisoning with typical antipsychotics was associated with significantly more cardiotoxicity (p = 0.042), particularly prolonged QRS (p = 0.005), and intensive care unit (ICU) admission (p = 0.000). In contrary to the PSS, which failed to predict the studied adverse outcomes, GDRS significantly predicted all adverse outcomes (p < 0.000) for all antipsychotic generations. In atypical antipsychotics, GDRS above three accurately predicted cardiotoxicities, prolonged QTc interval, and respiratory failure with Area under curves (AUC) of 0.937, 0.963, and 0.941, respectively. In typical antipsychotic poisoning, at higher cutoffs (7.5, 27.5, 18, and 7.5), cardiotoxicities, prolonged QTc interval, and respiratory failure were accurately predicted (AUC were 0.974, 0.961, and 0.960, respectively). GDRS is an objective, substantially useful tool that quantifies dystonia and can be used as an early reliable predictor of potential toxicity in acute antipsychotic poisoning.

MicroRNAs as potential biomarkers for diagnosis of schizophrenia and influence of antipsychotic treatment

ABSTRACT

Characterized by positive symptoms (such as changes in behavior or thoughts, including delusions and hallucinations), negative symptoms (such as apathy, anhedonia, and social withdrawal), and cognitive impairments, schizophrenia is a chronic, severe, and disabling mental disorder with late adolescence or early adulthood onset. Antipsychotics are the most commonly used drugs to treat schizophrenia, but those currently in use do not fully reverse all three types of symptoms characterizing this condition. Schizophrenia is frequently misdiagnosed, resulting in a delay of or inappropriate treatment. Abnormal expression of microRNAs is connected to brain development and disease and could provide novel biomarkers for the diagnosis and prognosis of schizophrenia. The recent studies reviewed included microRNA profiling in blood- and urine-based materials and nervous tissue materials. From the studies that had validated the preliminary findings, potential candidate biomarkers for schizophrenia in adults could be miR-22-3p, -30e-5p, -92a-3p, -148b-5p, -181a-3p, -181a-5p, -181b-5p, -199b-5p, -137 in whole blood, and miR-130b, -193a-3p in blood plasma. Antipsychotic treatment of schizophrenia patients was found to modulate the expression of certain microRNAs including miR-130b, -193a-3p, -132, -195, -30e, -432 in blood plasma. Further studies are warranted with adolescents and young adults having schizophrenia and consideration should be given to using animal models of the disorder to investigate the effect of suppressing or overexpressing specific microRNAs.

Graph reasoning method enhanced by relational transformers and knowledge distillation for drug-related side effect prediction

Identifying the side effects related to drugs is beneficial for reducing the risk of drug development failure and saving the drug development cost. We proposed a graph reasoning method, RKDSP, to fuse the semantics of multiple connection relationships, the local knowledge within each meta-path, the global knowledge among multiple meta-paths, and the attributes of the drug and side effect node pairs. We constructed drug-side effect heterogeneous graphs consisting of the drugs, side effects, and their similarity and association connections. Multiple relational transformers were established to learn node features from diverse meta-path semantic perspectives. A knowledge distillation module was constructed to learn local and global knowledge of multiple meta-paths. Finally, an adaptive convolutional neural network-based strategy was presented to adaptively encode the attributes of each drug-side effect node pair. The experimental results demonstrated that RKDSP outperforms the compared state-of-the-art prediction approaches.

A perspective on translating genomic discoveries into targets for brain-machine interface and deep brain stimulation devices

Mental illnesses have a huge impact on individuals, families, and society, so there is a growing need for more efficient treatments. In this context, brain-computer interface (BCI) technology has the potential to revolutionize the options for neuropsychiatric therapies. However, the development of BCI-based therapies faces enormous challenges, such as power dissipation constraints, lack of credible feedback mechanisms, uncertainty of which brain areas and frequencies to target, and even which patients to treat. Some of these setbacks are due to the large gap in our understanding of brain function. In recent years, large-scale genomic analyses uncovered an unprecedented amount of information regarding the biology of the altered brain function observed across the psychopathology spectrum. We believe findings from genetic studies can be useful to refine BCI technology to develop novel treatment options for mental illnesses. Here, we assess the latest advancements in both fields, the possibilities that can be generated from their intersection, and the challenges that these research areas will need to address to ensure that translational efforts can lead to effective and reliable interventions. Specifically, starting from highlighting the overlap between mechanisms uncovered by large-scale genetic studies and the current targets of deep brain stimulation treatments, we describe the steps that could help to translate genomic discoveries into BCI targets. Because these two research areas have not been previously presented together, the present article can provide a novel perspective for scientists with different research backgrounds. This article is categorized under: Neurological Diseases > Genetics/Genomics/Epigenetics Neurological Diseases > Biomedical Engineering.

Bipolarity in Older individuals Living without Drugs (BOLD): Protocol and preliminary findings

INTRODUCTION

Although clinical guidelines regard prophylactic medication as the cornerstone of treatment, it is estimated almost half of patients with bipolar disorder (BD) live without medication. This group is underrepresented in research but can provide indispensable knowledge on natural course, resilience and self-management strategies. We aim to describe the clinical phenotype of patients diagnosed with BD who have discontinued maintenance treatment.

METHODS

The mixed-methods BOLD study included 58 individuals aged 50 years and over with BD that did not use maintenance medication in the past 5 years. A preliminary, quantitative comparison of clinical characteristics between BOLD and our pre-existing cohort of >220 older BD outpatients with medication (Dutch Older Bipolars, DOBi) was performed.

RESULTS

BD-I, psychiatric comorbidities, number of mood episodes and lifetime psychotic features were more prevalent in BOLD compared to DOBi. BOLD participants had a younger age at onset and reported more childhood trauma. BOLD participants reported fewer current mood symptoms and higher cognitive, social, and global functioning.

LIMITATIONS

Our findings may not be generalizable to all individuals diagnosed with BD living without maintenance medication due to selection-bias.

CONCLUSION

A group of individuals exists that meets diagnostic criteria of BD and is living without maintenance medication. They appear to be relatively successful in terms of psychosocial functioning, although they do not have a milder clinical course than those on maintenance medication. The high prevalence of childhood trauma warrants further investigation. Future analyses will examine differences between BOLD and DOBi per domain (e.g. cognition, physical health, psychosocial functioning, coping).

Valproate, risperidone, and paliperidone: A case of valproate-induced hyperammonemic encephalopathy

Hyperammonemia is a well-known adverse effect of valproate that can progress to a potentially fatal condition known as valproate-induced hyperammonemic encephalopathy (VHE). VHE is more common when valproate is used in combination therapy with other antiepileptic medications. A growing number of case reports have pointed to a possible interaction with the antipsychotic risperidone leading to an increased risk of VHE. We present a case of VHE in which a 20-year-old male patient with bipolar affective disorder developed VHE when on concomitant valproate, risperidone, and paliperidone palmitate. On the seventh day of treatment with oral risperidone, oral divalproex sodium was added. Intramuscular paliperidone palmitate was initiated on day 13, and oral risperidone was discontinued after the second loading dose on day 16. The following day, the patient displayed worsening psychomotor retardation, swaying gait, drowsiness, and vomiting. The patient was found to have hyperammonemia and transferred to the emergency department for treatment of suspected VHE.

The magnitude and variability of neurocognitive performance in first-episode psychosis: a systematic review and meta-analysis of longitudinal studies

Neurocognitive deficits are a core feature of psychotic disorders, but it is unclear whether they affect all individuals uniformly. The aim of this systematic review and meta-analysis was to synthesize the evidence on the magnitude, progression, and variability of neurocognitive functioning in individuals with first-episode psychosis (FEP). A multistep literature search was conducted in several databases up to November 1, 2022. Original studies reporting on neurocognitive functioning in FEP were included. The researchers extracted the data and clustered the neurocognitive tasks according to the seven Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) domains and six additional domains. Random-effect model meta-analyses, assessment of publication biases and study quality, and meta-regressions were conducted. The primary effect size reported was Hedges g of (1) neurocognitive functioning in individuals at FEP measuring differences with healthy control (HC) individuals or (2) evolution of neurocognitive impairment across study follow-up intervals. Of 30,384 studies screened, 54 were included, comprising 3,925 FEP individuals and 1,285 HC individuals. Variability analyses indicated greater variability in FEP compared to HC at baseline and follow-up. We found better neurocognitive performance in the HC group at baseline and follow-up but no differences in longitudinal neurocognitive changes between groups. Across the 13 domains, individuals with FEP showed improvement from baseline in all studied domains, except for visual memory. Metaregressions showed some differences in several of the studied domains. The findings suggest that individuals with FEP have marked cognitive impairment, but there is greater variability in cognitive functioning in patients than in HC. This suggests that subgroups of individuals suffer severe disease-related cognitive impairments, whereas others may be much less affected. While these impairments seem stable in the medium term, certain indicators may suggest potential further decline in the long term for a specific subgroup of individuals, although more research is needed to clarify this. Overall, this study highlights the need for tailored neurocognitive interventions for individuals with FEP based on their specific deficits and progression.

Acute Extrapyramidal Side Effects Associated With the Combined Use of Low Doses of Haloperidol and Clarithromycin

Extrapyramidal side effects (EPS) are one of the major side effects that may frequently occur in the use of antipsychotics. EPS may cause distress and worsen the psychopathological condition. In this paper, we report a case of a 12-year-old boy with tic disorders who developed EPS after using haloperidol and clarithromycin combined.

The Janus face of antipsychotics in glial cells: Focus on glioprotection

Antipsychotics are commonly prescribed to treat several neuropsychiatric disorders, including schizophrenia, mania in bipolar disorder, autism spectrum disorder, delirium, and organic or secondary psychosis, for example, in dementias such as Alzheimer's disease. There is evidence that typical antipsychotics such as haloperidol are more effective in reducing positive symptoms than negative symptoms and/or cognitive deficits. In contrast, atypical antipsychotic agents have gained popularity over typical antipsychotics, due to fewer extrapyramidal side effects and their theoretical efficacy in controlling both positive and negative symptoms. Although these therapies focus on neuron-based therapeutic schemes, glial cells have been recognized as important regulators of the pathophysiology of neuropsychiatric disorders, as well as targets to improve the efficacy of these drugs. Glial cells (astrocytes, oligodendrocytes, and microglia) are critical for the central nervous system in both physiological and pathological conditions. Astrocytes are the most abundant glial cells and play important roles in brain homeostasis, regulating neurotransmitter systems and gliotransmission, since they express a wide variety of functional receptors for different neurotransmitters. In addition, converging lines of evidence indicate that psychiatric disorders are commonly associated with the triad neuroinflammation, oxidative stress, and excitotoxicity, and that glial cells may contribute to the gliotoxicity process. Conversely, glioprotective molecules attenuate glial damage by generating specific responses that can protect glial cells themselves and/or neurons, resulting in improved central nervous system (CNS) functioning. In this regard, resveratrol is well-recognized as a glioprotective molecule, including in clinical studies of schizophrenia and autism. This review will provide a summary of the dual role of antipsychotics on neurochemical parameters associated with glial functions and will highlight the potential activity of glioprotective molecules to improve the action of antipsychotics.

Dopamine partial agonists: a discrete class of antipsychotics

Worldwide, there are now three marketed dopamine D2 partial agonists: aripiprazole, brexpiprazole and cariprazine. These three drugs share a number of properties other than their action at D2 receptors. Pharmacologically, they are 5HT2 antagonists and D3 and 5HT1A partial agonists but with little or no alpha-adrenergic, anticholinergic or antihistaminic activity. They also share a long duration of action. Clinically, D2 partial agonists are effective antipsychotics and generally have useful antimanic and antidepressant activity. They are usually well tolerated, causing akathisia and insomnia only at the start of treatment, and are non-sedating. These drugs also share a very low risk of increased prolactin and of weight gain and accompanying metabolic effects. They may also have a relatively low risk of tardive dyskinesia. There is some evidence that they are preferred by patients to dopamine antagonists. Individual dopamineD2 partial agonists have much in common and as a group they differ importantly from dopamine D2 antagonists. Dopamine D2 partial agonists should be considered a distinct class of antipsychotics.Key pointsD2 partial agonists share many pharmacological and clinical propertiesD2 partial agonists differ in several important respects from D2 antagonistsD2 partial agonists should be considered a discrete class of antipsychotics.

Efficacy and safety of paliperidone palmitate 6-monthly long-acting injectable in reduction of relapses in patients with schizophrenia: An Asian subgroup analysis of phase 3, randomized study

BACKGROUND

Evaluate efficacy and safety of paliperidone palmitate 6-monthly (PP6M) for patients with schizophrenia in the Asian subgroup of a global, multicenter, noninferiority phase-3 study (NCT03345342).

METHODS

Patients received paliperidone palmitate 1-monthly (PP1M, 100/150 mg eq.) or paliperidone palmitate 3-monthly (PP3M, 350/525 mg eq.) during the maintenance phase and entered a 12-month double-blind (DB) phase, wherein they were randomized (2:1) to PP6M (700/1000 mg. eq.) or PP3M (350/525 mg eq.). Subgroup analysis was performed for 90 (12.7%) patients from Asia region (India, Taiwan, Malaysia, Hong Kong, and Korea). Primary endpoint was time-to-relapse during DB phase (Kaplan-Meier estimates). Secondary endpoints were changes from baseline in Positive and Negative Syndrome Scale, Clinical Global Impression-Severity scale, Personal and Social Performance (PSP) scale score.

RESULTS

In Asian subgroup, 91.9% (82/90) of patients completed DB phase (PP6M: 54/62 [87%]; PP3M: 28/28 [100%]). Median time-to-relapse was "not-estimable" due to low relapse rates in both groups. Estimated difference (95% confidence interval [CI]) between relapse-free patients in PP6M and PP3M groups of Asian subgroup was -0.1% [-8.5%, 8.4%] (global study population: -2.9% [-6.8%, 1.1%]). Mean change from baseline in secondary efficacy parameters was comparable between both groups, similar to the global study population. The incidence of extrapyramidal symptoms was higher in the Asian subgroup than in the global study population.

CONCLUSION

Consistent with the global study population, PP6M was noninferior to PP3M in preventing relapse in patients with schizophrenia from the Asia region. Findings suggest the possibility of switching from PP1M/PP3M to twice-yearly PP6M without loss of efficacy and with no unexpected safety concerns.

Scales for Antipsychotic-Associated Movement Disorders: Systematic Review, Critique, and Recommendations

BACKGROUND

Antipsychotic-associated movement disorders remain common and disabling. Their screening and assessment are challenging due to clinical heterogeneity and different use of nomenclature between psychiatrists and neurologists.

OBJECTIVE

An International Parkinson and Movement Disorder Society subcommittee aimed to rate psychometric quality of severity and screening instruments for antipsychotic-associated movement disorders.

METHODS

Following the methodology adopted by previous International Parkinson and Movement Disorders Society subcommittee papers, instruments for antipsychotic-associated movement disorders were reviewed, applying a classification as "recommended," "recommended with caveats," "suggested," or "listed."

RESULTS

Our review identified 23 instruments. The highest grade of recommendation reached is "recommended with caveats," assigned to seven severity rating instruments (Extrapyramidal Symptoms Rating Scale, Barnes Akathisia Rating Scale, Abnormal Involuntary Movements Scale, Drug-Induced Extra-Pyramidal Symptoms Scale, Maryland Psychiatric Research Centre involuntary movements scale, Simpson Angus Scale, and Matson Evaluation of Drug Side effects). Only three of these seven (Drug-Induced Extra-Pyramidal Symptoms Scale, Maryland Psychiatric Research Centre, Matson Evaluation of Drug Side effects) were also screening instruments. Their main caveats are insufficient demonstration of psychometric properties (internal consistency, skewing, responsiveness to change) and long duration of administration. Eight "suggested" instruments did not meet requirements for the "recommended" grade also because of insufficient psychometric validation. Other limitations shared by several instruments are lack of comprehensiveness in assessing the spectrum of antipsychotic-associated movement disorders and ambiguous nomenclature.

CONCLUSIONS

The high number of instruments "recommended with caveats" does not support the need for developing new instruments for antipsychotic-associated movement disorders. However, addressing the caveats with new psychometric studies and revising existing instruments to improve the clarity of their nomenclature are recommended next steps. © 2023 International Parkinson and Movement Disorder Society.

Drug-Induced Movement Disorders

Drug-induced movement disorders (DIMDs) are most commonly associated with typical and atypical antipsychotics. However, other drugs such as antidepressants, antihistamines, antiepileptics, antiarrhythmics, and gastrointestinal drugs can also cause abnormal involuntary movements. Different types of movement disorders can also occur because of adverse drug reactions. Therefore, the important key to diagnosing DIMDs is a causal relationship between potential offending drugs and the occurrence of abnormal movements. The pathophysiology of DIMDs is not clearly understood; however, many cases of DIMDs are thought to exert adverse mechanisms of action in the basal ganglia. The treatment of some DIMDs is quite challenging, and removing the offending drugs may not be possible in some conditions such as withdrawing antipsychotics in the patient with partially or uncontrollable neuropsychiatric conditions. Future research is needed to understand the mechanism of DIMDs and the development of drugs with better side-effect profiles. This article reviews the phenomenology, diagnostic criteria, pathophysiology, and management of DIMDs.

Benzodiazepines and Mood Stabilizers in Schizophrenia Patients Treated with Oral versus Long-Acting Injectable Antipsychotics-An Observational Study

Schizophrenia is a chronic, invalidating, and polymorphic disease, characterized by relapses and remission periods. The main treatment option in schizophrenia are antipsychotics, administered as an oral or as a long-acting injectable (LAI) formulation. Although international guidelines rarely recommend it, mood stabilizers (MS) and/or benzodiazepines (BZD) are frequently prescribed as adjunctive therapy in schizophrenia patients for various reasons. This is an observational, cross-sectional study including stabilized schizophrenia patients. A total of 315 patients were enrolled. Of these, 77 patients (24.44%) were stabilized on LAIs and 238 (75.56%) patients on oral antipsychotics (OAP). Eighty-four patients (26.66%) had concomitant treatment with MS and 119 patients (37.77%) had concomitant benzodiazepine treatment. No statistical significance was observed in MS or BZD use between LAIs and OAPs. In total, 136 patients (43.17%) were stabilized on antipsychotic monotherapy. Our study shows that the long-term use of benzodiazepines and mood stabilizers remains elevated among stabilized schizophrenia patients, regardless of the antipsychotic formulation (oral or LAI). Patients receiving second-generation LAI antipsychotics (SGA-LAI) seem to be more likely to be stabilized on monotherapy compared to those receiving oral antipsychotics. Further randomized controlled trials are necessary in order to clarify the benefits of the current drug polypharmacy trends.

Updated Perspectives on the Management of Drug-Induced Parkinsonism (DIP): Insights from the Clinic

Parkinsonism refers to the clinical combination of bradykinesia, rigidity, tremor, and postural instability. Parkinsonism is often neurodegenerative, but it can be secondary or iatrogenic, as in drug-induced parkinsonism (DIP), which is the topic of this review. We review the pathophysiology of DIP, differentiate DIP and idiopathic Parkinson's disease (PD), list culprit medications in the development of DIP, discuss the diagnosis of DIP as well as the motor and nonmotor signs and symptoms that can help with differentiation of DIP and PD, and detail the management of DIP.

Evaluation of the acute oral toxicity and antipsychotic activity of a dual inhibitor of PDE1B and PDE10A in rat model of schizophrenia

Phosphodiesterase 1B (PDE1B) and PDE10A are dual-specificity PDEs that hydrolyse both cyclic adenosine monophosphate and cyclic guanosine monophosphate, and are highly expressed in the striatum. Several reports have suggested that PDE10A inhibitors may present a promising approach for the treatment of positive symptoms of schizophrenia, whereas PDE1B inhibitors may present a novel mechanism to modulate cognitive deficits. Previously, we have reported a novel dual inhibitor of PDE1B and PDE10A, compound 2 [(3-fluorophenyl)(2-methyl-2,3-dihydro-4H-benzo[b][1,4]oxazin-4-yl)methanone] which has shown inhibitory activity for human recombinant PDE1B and PDE10A in vitro. In the present study, the safety profile of compound 2 has been evaluated in rats in the acute oral toxicity study, as well as; the antipsychotic-like effects in the rat model of schizophrenia. Compound 2 was tolerated up to 1 g/kg when administered at a single oral dose. Additionally, compound 2 has strongly suppressed ketamine-induced hyperlocomotion, which presented a model for the positive symptoms of schizophrenia. It has also shown an ability to attenuate social isolation induced by chronic administration of ketamine and enhanced recognition memory of rats ​in the novel object recognition test. Altogether, our results suggest that compound 2 represents a promising therapy for the treatment of the three symptomatic domains of schizophrenia.

Pharmacologic treatment of delirium symptoms: A systematic review

OBJECTIVE

We conducted an updated, comprehensive, and contemporary systematic review to examine the efficacy of existing pharmacologic agents employed for management of delirium symptoms among hospitalized adults.

METHODS

Searches of PubMed, Scopus, Embase, and Cochrane Library databases from inception to May 2021 were performed to identify studies investigating efficacy of pharmacologic agents for management of delirium.

RESULTS

Of 11,424 articles obtained from searches, a total of 33 articles (N = 3030 participants) of randomized or non-randomized trials, in which pharmacologic treatment was compared to active comparator, placebo, or no treatment, met all criteria and were included in this review. Medications used for management of delirium symptoms included antipsychotic medications (N = 27), alpha-2 agonists (N = 5), benzodiazepines (N = 2), antidepressants (n = 1), acetylcholinesterase inhibitors (N = 2), melatonin (N = 2), opioids (N = 1), and antiemetics (N = 2). Despite somewhat mixed findings and a relative lack of high-quality trials, it appears that antipsychotic medications (e.g., haloperidol, olanzapine, risperidone, or quetiapine) and dexmedetomidine have the potential to improve delirium outcomes.

CONCLUSIONS

Pharmacologic agents can reduce delirium symptoms (e.g., agitation) in some hospitalized patients. Additional double-blinded, randomized, placebo-controlled clinical trials are critically needed to investigate the efficacy of pharmacologic agents for diverse hospitalized populations (e.g., post-surgical patients, patients at the end-of-life, or in intensive care units).

Advantages and Limitations of Animal Schizophrenia Models

Mental illness modeling is still a major challenge for scientists. Animal models of schizophrenia are essential to gain a better understanding of the disease etiopathology and mechanism of action of currently used antipsychotic drugs and help in the search for new and more effective therapies. We can distinguish among pharmacological, genetic, and neurodevelopmental models offering various neuroanatomical disorders and a different spectrum of symptoms of schizophrenia. Modeling schizophrenia is based on inducing damage or changes in the activity of relevant regions in the rodent brain (mainly the prefrontal cortex and hippocampus). Such artificially induced dysfunctions approximately correspond to the lesions found in patients with schizophrenia. However, notably, animal models of mental illness have numerous limitations and never fully reflect the disease state observed in humans.

Integrating specific and common topologies of heterogeneous graphs and pairwise attributes for drug-related side effect prediction

MOTIVATION

Computerized methods for drug-related side effect identification can help reduce costs and speed up drug development. Multisource data about drug and side effects are widely used to predict potential drug-related side effects. Heterogeneous graphs are commonly used to associate multisourced data of drugs and side effects which can reflect similarities of the drugs from different perspectives. Effective integration and formulation of diverse similarities, however, are challenging. In addition, the specific topology of each heterogeneous graph and the common topology of multiple graphs are neglected.

RESULTS

We propose a drug-side effect association prediction model, GCRS, to encode and integrate specific topologies, common topologies and pairwise attributes of drugs and side effects. First, multiple drug-side effect heterogeneous graphs are constructed using various kinds of similarities and associations related to drugs and side effects. As each heterogeneous graph has its specific topology, we establish separate module based on graph convolutional autoencoder (GCA) to learn the particular topology representation of each drug node and each side effect node, respectively. Since multiple graphs reflect the complex relationships among the drug and side effect nodes and contain common topologies, we construct a module based on GCA with sharing parameters to learn the common topology representations of each node. Afterwards, we design an attention mechanism to obtain more informative topology representations at the representation level. Finally, multi-layer convolutional neural networks with attribute-level attention are constructed to deeply integrate the similarity and association attributes of a pair of drug-side effect nodes. Comprehensive experiments show that GCRS's prediction performance is superior to other comparing state-of-the-art methods for predicting drug-side effect associations. The recall rates in top-ranked candidates and case studies on five drugs further demonstrate GCRS's ability in discovering potential drug-related side effects.

CONTACT

zhang@hlju.edu.cn.