Weight and body mass index increase in children and adolescents exposed to antipsychotic drugs in non-interventional settings: a meta-analysis and meta-regression

Comparative physiological effects of antipsychotic drugs in children and young people: a network meta-analysis

BACKGROUND

The degree of physiological responses to individual antipsychotic drugs is unclear in children and adolescents. With network meta-analysis, we aimed to investigate the effects of various antipsychotic medications on physiological variables in children and adolescents with neuropsychiatric and neurodevelopmental conditions.

METHODS

For this network meta-analysis, we searched Medline, EMBASE, PsycINFO, Web of Science, and Scopus from database inception until Dec 22, 2023, and included randomised controlled trials comparing antipsychotics with placebo in children or adolescents younger than 18 years with any neuropsychiatric and neurodevelopmental condition. Primary outcomes were mean change from baseline to end of acute treatment in bodyweight, BMI, fasting glucose, total cholesterol, LDL cholesterol, HDL cholesterol, triglycerides, prolactin, heart rate, systolic blood pressure (SBP), and QT interval corrected for heart rate (QTc) for patients receiving either active treatment or placebo. For multigroup trials reporting several doses, we calculated a summary value for each physiological variable for all doses. After transitivity assessment, we fitted frequentist random-effects network meta-analyses for all comparisons in the network. A Kilim plot was used to summarise the results for all treatments and outcomes, providing information regarding the strength of the statistical evidence of treatment effects, using p values. Network heterogeneity was assessed with τ, risk of bias of individual trials was assessed with the Cochrane Collaboration's Tool for Assessing Risk of Bias, and the credibility of findings from each network meta-analysis was assessed with the Confidence in Network Meta-Analysis (CINEMA) app. This study is registered on PROSPERO (CRD42021274393).

FINDINGS

Of 6676 studies screened, 47 randomised controlled trials were included, which included 6500 children (mean age 13·29 years, SD 2·14) who received treatment for a median of 7 weeks (IQR 6-8) with either placebo (n=2134) or one of aripiprazole, asenapine, blonanserin, clozapine, haloperidol, lurasidone, molindone, olanzapine, paliperidone, pimozide, quetiapine, risperidone, or ziprasidone (n=4366). Mean differences for bodyweight change gain compared with placebo ranged from -2·00 kg (95% CI -3·61 to -0·39) with molindone to 5·60 kg (0·27 to 10·94) with haloperidol; BMI -0·70 kg/m2 (-1·21 to -0·19) with molindone to 2·03 kg/m2 (0·51 to 3·55) with quetiapine; total cholesterol -0·04 mmol/L (-0·39 to 0·31) with blonanserin to 0·35 mmol/L (0·17 to 0·53) with quetiapine; LDL cholesterol -0·12 mmol/L (-0·31 to 0·07) with risperidone or paliperidone to 0·17 mmol/L (-0·06 to 0·40) with olanzapine; HDL cholesterol 0·05 mmol/L (-0·19 to 0·30) with quetiapine to 0·48 mmol/L (0·18 to 0·78) with risperidone or paliperidone; triglycerides -0·03 mmol/L (-0·12 to 0·06) with lurasidone to 0·29 mmol/L (0·14 to 0·44) with olanzapine; fasting glucose from -0·09 mmol/L (-1·45 to 1·28) with blonanserin to 0·74 mmol/L (0·04 to 1·43) with quetiapine; prolactin from -2·83 ng/mL (-8·42 to 2·75) with aripiprazole to 26·40 ng/mL (21·13 to 31·67) with risperidone or paliperidone; heart rate from -0·20 bpm (-8·11 to 7·71) with ziprasidone to 12·42 bpm (3·83 to 21·01) with quetiapine; SBP from -3·40 mm Hg (-6·25 to -0·55) with ziprasidone to 10·04 mm Hg (5·56 to 14·51) with quetiapine; QTc from -0·61 ms (-1·47 to 0·26) with pimozide to 0·30 ms (-0·05 to 0·65) with ziprasidone.

INTERPRETATION

Children and adolescents show varied but clinically significant physiological responses to individual antipsychotic drugs. Treatment guidelines for children and adolescents with a range of neuropsychiatric and neurodevelopmental conditions should be updated to reflect each antipsychotic drug's distinct profile for associated metabolic changes, alterations in prolactin, and haemodynamic alterations.

FUNDING

UK Academy of Medical Sciences, Brain and Behaviour Research Foundation, UK National Institute of Health Research, Maudsley Charity, the Wellcome Trust, Medical Research Council, National Institute of Health and Care Research Biomedical Centre at King's College London and South London and Maudsley NHS Foundation Trust, the Italian Ministry of University and Research, the Italian National Recovery and Resilience Plan, and Swiss National Science Foundation.

Functional coupling between MC4R and Kir7.1 contributes to clozapine-induced hyperphagia

Most antipsychotic drugs (APDs) induce hyperphagia and weight gain. However, the neural mechanisms are poorly understood, partly due to challenges replicating their metabolic effects in rodents. Here, we report a new mouse model that recapitulates overeating induced by clozapine, a widely prescribed APD. Our study shows that clozapine boosts food intake by inhibiting melanocortin 4 receptor (MC4R) expressing neurons in the paraventricular nucleus of the hypothalamus. Interestingly, neither clozapine nor risperidone, another commonly used APD, affects receptor-ligand binding or the canonical Gαs signaling of MC4R. Instead, they inhibit neuronal activity by enhancing the coupling between MC4R and Kir7.1, leading to the open state of the inwardly rectifying potassium channel. Deletion of Kir7.1 in Mc4r-Cre neurons prevents clozapine-induced weight gain, while treatment with a selective Kir7.1 blocker mitigates overeating in clozapine-fed mice. Our findings unveil a molecular pathway underlying the effect of APDs on feeding behavior and suggest its potential as a therapeutic target.

Umbrella Review: Association Between Antipsychotic Drugs and Metabolic Syndrome Hallmarks in Children and Adolescents

OBJECTIVE

To summarize the available evidence on metabolic parameters indicating metabolic adverse effects and risk of metabolic syndrome in children and adolescents treated with antipsychotics, following a pre-specified protocol (PROSPERO ID 252336).

METHOD

We searched PubMed, Embase and PsycINFO until May 14, 2021, to identify systematic reviews (SR), meta-analyses (MA) and network meta-analyses (NMA) examining symptoms associated to metabolic syndrome in patients <18 years of age who required treatment with oral antipsychotic drugs. Evidence from quantitative analyses for all outcomes related to anthropometric, glyco-metabolic, and blood pressure parameters (measured from baseline to intervention-end and/or follow-up, in subjects exposed to antipsychotics and placebo) was reported on the basis of their metrics (median difference [medianD], mean difference [MD], standardized mean difference [SMD], odds ratio [OR], risk ratio ([RR]). A qualitative synthesis was also made. A formal quality assessment of the included studies was carried out by using the AMSTAR 2. We also provided a hierarchical stratification of the evidence from meta-analyses based on the class of evidence.

RESULTS

A total of 23 articles (13 MA, 4 NMA and 6 SR) were included for review. As compared with placebo, an increase in triglyceride levels was associated with olanzapine (medianD [95% CI]: 37 [12.27, 61.74] mg/dL; MD [95% CI]: 38.57 [21.44, 55.77] mg/dL) and quetiapine (medianD [95% CI]: 21.58 [95% CI]: 4.27, 38.31 mg/dL; MD [95% CI]: 34.87 [20.08, 49.67] mg/dL; SMD [95% CI]: 0.37 [0.06, 0.068]), whereas decreased triglyceride levels were found for lurasidone. Increased total cholesterol level was associated with asenapine (medianD [95% CI]: 9.1 [1.73, 16.44] mg/dL), quetiapine (medianD [95% CI]: 15.60 [7.30, 24.05] mg/dL; olanzapine (MD [95% CI] from 3.67 [1.43, 5.92] mg/dL to 20.47 [13.97, 26.94] mg/dL]; and lurasidone (medianD [95% CI]: 8.94 [1.27, 16.90] mg/dL). Change in glucose levels did not differ among antipsychotics or placebo. Lurasidone, molindone, and ziprasidone were the best tolerated in terms of weight gain. According to the AMSTAR 2 scoring system, 13 (56.5%) reviews were rated as very low quality. According to classes of evidence, most MA were level 4, especially because of their limited total sample size.

CONCLUSION

By collating meta-analyses assessing biochemical markers of metabolic syndrome in antipsychotic-treated children, we conclude that olanzapine should not be the antipsychotic of choice in patients at risk for hypertriglyceridemia or hypercholesterolemia. Aripiprazole and lurasidone appear to be better tolerated in terms of metabolic adverse events. Insufficient meta-analytic data are available to provide a precise risk estimate of metabolic syndrome, and, overall, the quality of evidence is low.

STUDY REGISTRATION INFORMATION

Association between the use of antipsychotic drugs and alterations of the parameters defining the Metabolic Syndrome (MetS) in children and adolescents: an umbrella review; https://www.crd.york.ac.uk/prospero/; CRD42021252336.

The Utah psychotropic oversight program: collaboratively addressing antipsychotic use within youth in foster care without prior authorization

Objectives

Fostered youth have increased risk of exposure to trauma. Antipsychotic medications are often utilized within the foster care system, potentially to address problematic behaviors that may be associated with trauma. The Utah Psychotropic Oversight Program (UPOP) was formed to support prescribers and encourage evidence-based treatment approaches for fostered youth. However, it is unclear what impact an oversight program can have on a high turnover population and without tools such as prior authorization. This study evaluates 4 years of collected data from the UPOP program for efficacy and to identify future intervention targets.

Methods

Deidentified data were collected as a routine function of the oversight program over 4 years (01/2019-12/2022), from individuals aged 0-18 years old (total N = 8,523, 48.3% female). UPOP oversight criteria: ≤6yo + any psychotropic medication, ≥7yo + 2 or more psychotropic medications. For this analysis, youth were divided by UPOP individuals ever receiving an antipsychotic (AP) prescription (UPOP_AP; N = 755, 42.3% female) or not (UPOP_NAP, N = 1,006, 48.3% female) and non-UPOP fostered (N = 6,762, 48.9% female). Comparisons were made across demographic and clinical variables via ANOVA, Chi-square, unpaired t-test, and logistic regression.

Results

UPOP_AP more likely to be older males with behavioral diagnoses, increased polypharmacy, longer duration of fostering, and higher care level. AP prescription rates dropped from 52.8 to 39.1% for males and 43.3 to 38.2% in females with unchanged number of psychotropic prescriptions and care level across 2019-2022. UPOP_AP that discontinued AP treatment had fewer average psychotropic medications, but increased antidepressant and sleep prescriptions, as compared with individuals that remained on AP.

Conclusion

Youth within the foster care system receive antipsychotics at high rates and in an uneven distribution. Prescribing practices can change in the context of supportive oversight programs without components such as prior authorization, and without increasing the need for higher levels of care. Specific emphasis on the treatment of mood, anxiety, and sleep issues may also lead to greater success in discontinuing AP treatment. Oversight may support treatment providers while reducing exposure to medications with considerable side effect burden that could cause future comorbidity.

Clinical pharmacokinetics of antipsychotics in pediatric populations: a scoping review focusing on dosing regimen

INTRODUCTION

Achieving optimal clinical responses and minimizing side effects through precision dosing of antipsychotics in children and adolescents with psychiatric disorders remains a challenge. Identifying patient characteristics (covariates) that affect pharmacokinetics can inform more effective dosing strategies and ultimately improve patient outcomes. This review aims to provide greater insight into the impact of covariates on the clinical pharmacokinetics of antipsychotics in pediatric populations.

AREAS COVERED

A comprehensive literature search was conducted, and the main findings regarding the effects of the covariates on the pharmacokinetics of antipsychotics in children and adolescents are presented.

EXPERT OPINION

Our study highlights significant covariates, including age, sex, weight, CYP2D6 phenotype, co-medication, and smoking habits, which affect the pharmacokinetics of antipsychotics. However, the findings were generally limited by the small sample sizes of naturalistic, open-label, observational studies, and the homogeneous subgroups. Dosing based on weight and preemptive genotyping could prove beneficial for optimizing the dosing regimen in pediatric populations. Future research is needed to refine dosing recommendations and establish therapeutic reference ranges critical for precision dosing and Therapeutic Drug Monitoring (TDM). The integration of individual patient characteristics with TDM can further optimize the efficacy and safety of antipsychotics for each patient.

Common practical questions - and answers - at the British Association for Psychopharmacology child and adolescent psychopharmacology course

The British Association for Psychopharmacology course on child and adolescent psychopharmacology has been run for more than 20 years and is currently a very popular course, attracting around 140 delegates/year from across the United Kingdom and abroad. As Faculty of recent sessions of the course, we have selected the most common questions we have been asked in recent years and provided evidence-based and/or expert-informed answers. We have included 27 questions and answers related to attention-deficit/hyperactivity disorder, anxiety and depressive disorders, autism spectrum disorder, bipolar disorder, eating disorders, epilepsy (in differential diagnosis or comorbid with mental health conditions), obsessive-compulsive disorder, personality disorders, psychotic spectrum disorders, and tics/Tourette syndrome in children and young people. We hope that this article will be helpful for prescribers in their daily clinical practice and we look forward to further, high-level evidence informing the answers to these and other questions in child and adolescent psychopharmacology.

What Role for Long-Acting Injectable Antipsychotics in Managing Schizophrenia Spectrum Disorders in Children and Adolescents? A Systematic Review

BACKGROUND

Long-acting injectable antipsychotics (LAIAs) are an efficacious and well-tolerated treatment in adults with schizophrenia spectrum disorders (SSD). However, there is less evidence for their use in children and adolescents.

OBJECTIVES

The aim of this systematic review was to summarize findings regarding the effectiveness and side effects of LAIA in children and adolescents with SSD.

METHODS

Four databases (Web of Science, PubMed, MEDES, and Dialnet) were systematically searched for articles published between inception and 12 March, 2022, with the following inclusion criteria: (1) original articles or case reports; (2) providing data on efficacy/effectiveness or safety/tolerability of LAIA treatment in children and adolescents diagnosed with SSD (schizophrenia, schizoaffective disorder, schizophreniform disorder, non-affective psychotic disorder); (3) mean age of samples ≤ 18 years; and (4) written in English or Spanish. Exclusion criteria were review articles, clinical guides, expert consensus as well as posters or oral communication in conferences. The risk of bias was assessed using the ROBIS tool.

RESULTS

From 847 articles found, 13 met the inclusion criteria. These included seven single case reports or case series, four retrospective chart reviews, a 24-week open-label trial, and one observational prospective study, covering a total of 119 adolescents (aged 12-17 years) with SSD. Almost all the articles described data on second-generation LAIA (53 patients on risperidone [once every other week], 33 on paliperidone palmitate [once monthly], 10 on aripiprazole [once monthly], and two on olanzapine pamoate [once monthly]). Twenty-one patients were reported to be only on first-generation LAIAs. Non-adherence was the main reason for starting an LAIA. In all of the studies, the use of LAIAs was associated with improvement in the patients' symptoms.

CONCLUSIONS

There are few studies assessing the use of LAIAs in adolescents with SSD. Overall, these treatments have suggested good effectiveness and acceptable safety and tolerability. However, we found no studies examining their use in children aged < 12 years. The problems and benefits linked to this type of antipsychotic formulation in the child and adolescent population require further study, ideally with prospective, controlled designs.

Metabolic and clinical profiles of young people with mood or psychotic disorders who are prescribed metformin in an inpatient setting

OBJECTIVE

Youth with early-onset mood or psychotic disorders are occasionally prescribed metformin to manage cardiometabolic risk. This retrospective study explores the demographic, clinical and metabolic factors associated with metformin prescription youth with mood or psychotic disorders.

METHOD

Participants included 72 youth with mood or psychotic disorders from a young adult mental health inpatient unit, of which 18 (33%) were newly prescribed metformin, and 54 (66%) were not prescribed metformin. Demographic and clinical information were extracted from the patients' medical files along with body mass index (BMI), fasting serum bloods and calculated updated homeostatic model of insulin resistance assessment (HOMA2-IR) scores to compare profiles between groups.

RESULTS

Of those prescribed metformin, 83% were overweight or obese and 72% had elevated HOMA2-IR scores. Of those not receiving metformin treatment, 41% were overweight or obese and 22% had elevated HOMA2-IR scores. Youth prescribed metformin had significantly higher BMI, and elevated markers of insulin resistance, but did not differ to those not prescribed metformin on other demographic, clinical or metabolic factors.

CONCLUSIONS

While metformin is prescribed to some youth with mood or psychotic disorders displaying markers of cardiometabolic disturbance, there is a need to develop clearer treatment guidelines for metformin in these youth.

In search of measures to improve the detection of increased cardiometabolic risk in children using second-generation antipsychotic medications

PURPOSE

Second-generation antipsychotic medications (SGAs) are widely used in child psychiatry. SGA-induced metabolic disturbances are common in children, but monitoring practices need systematisation. The study's aims were to test an SGA-monitoring protocol, examine the distributions of metabolic measurements compared to reference values in child psychiatry patients, and determine whether using a homeostasis model for the assessment of insulin resistance (HOMA-IR) and triglyceride/high-density lipoprotein (TG/HDL) ratio could improve the detection of increased cardiometabolic risk.

MATERIALS AND METHODS

A systematic monitoring protocol was implemented. Weight and height, blood pressure, fasting glucose, insulin, HDL, and TG were measured at baseline and four times during follow-up. HOMA-IR, TG/HDL ratio and zBMI were calculated. Age-, gender- and BMI-specific percentile curves for HOMA-IR were used to define elevated cardiometabolic risk.

RESULTS

The study patients (n = 55, mean age 9.9 years) were followed for a median of 9 months. A disadvantageous, statistically significant shift, often appearing within the reference range, was seen in zBMI, TG, HDL, glucose, insulin, HOMA-IR, and TG/HDL ratio. The increase in HOMA-IR appeared earlier than individual laboratory values and was more evident than the TG/HDL ratio increase. An HOMA-IR cut point of 1.98 resulted in a sensitivity and specificity of 83%. Compared to a previous study performed in the same location, the monitoring rates of metabolic parameters improved.

CONCLUSION

The monitoring protocol implementation improved the monitoring of metabolic parameters in child psychiatric patients using SGAs. Using HOMA-IR as part of systematic SGA monitoring could help detect metabolic adverse effects.

The atypical antipsychotic risperidone targets hypothalamic melanocortin 4 receptors to cause weight gain

Atypical antipsychotics such as risperidone cause drug-induced metabolic syndrome. However, the underlying mechanisms remain largely unknown. Here, we report a new mouse model that reliably reproduces risperidone-induced weight gain, adiposity, and glucose intolerance. We found that risperidone treatment acutely altered energy balance in C57BL/6 mice and that hyperphagia accounted for most of the weight gain. Transcriptomic analyses in the hypothalamus of risperidone-fed mice revealed that risperidone treatment reduced the expression of Mc4r. Furthermore, Mc4r in Sim1 neurons was necessary for risperidone-induced hyperphagia and weight gain. Moreover, we found that the same pathway underlies the obesogenic effect of olanzapine-another commonly prescribed antipsychotic drug. Remarkably, whole-cell patch-clamp recording demonstrated that risperidone acutely inhibited the activity of hypothalamic Mc4r neurons via the opening of a postsynaptic potassium conductance. Finally, we showed that treatment with setmelanotide, an MC4R-specific agonist, mitigated hyperphagia and obesity in both risperidone- and olanzapine-fed mice.