Metabolic and endocrine adverse effects of second-generation antipsychotics in children and adolescents: A systematic review of randomized, placebo controlled trials and guidelines for clinical practice

An overview of the efficacy and safety of brexpiprazole for the treatment of schizophrenia in adolescents

INTRODUCTION

The onset of psychotic symptoms occurs prior to age 19 in 39% of the patients with schizophrenia. There are limited approved treatment options for adolescents with schizophrenia. Brexpiprazole was approved by the United States Food and Drug Administration (FDA) for treatment of schizophrenia in adolescents in 2022.

AREAS COVERED

Extrapolation of adult data to youth and use of pharmacologic modeling coupled with open long-term safety data were used by the FDA to approve brexpiprazole for adolescent schizophrenia. They were all reviewed herein.

EXPERT OPINION

D2 receptor partial agonist antipsychotic agents are preferred in the early phase of treatment of psychotic disorders. Approval of brexpiprazole in adolescent schizophrenia provides an additional option. Brexpiprazole was approved by the FDA on the basis of extrapolation of adult data without controlled trials in adolescents. This reduces placebo exposure in young people. Two previous agents (asenapine and ziprasidone) approved for adult schizophrenia failed to separate from placebo in adolescent schizophrenia studies; this partially undermines the process of extrapolation. For brexpiprazole, the paucity of data in adolescents relegates it to a second-line agent. More research on brexpiprazole is needed to delineate its relative role in the management of adolescent schizophrenia.

Efficacy of topiramate in reducing second-generation antipsychotic-associated weight gain among children: A systematic review and meta-analysis

AIMS

To conduct a systematic review and meta-analysis with the aim of synthesizing existing data on the efficacy and safety of topiramate as an adjunctive treatment for reducing second-generation antipsychotic (SGA)-associated weight gain in children aged 4-18 years.

METHODS

We conducted a comprehensive search of PubMed, Embase, PsychNet and Web of Science from time of their inception up to 12 February 2024, including randomized controlled trials that compared SGA treatment with and without topiramate co-administration in children. The primary outcomes were changes in body weight and body mass index (BMI). Heterogeneity was assessed using I2 statistics.

RESULTS

This systematic review included five randomized trials, totalling 139 participants (43.9% female; mean [SD] age 11.9 [3.5] years). Four of these trials were included in the meta-analysis, comprising 116 subjects. We found that topiramate was significantly effective both in reducing SGA-associated weight gain, with a mean difference of -2.80 kg (95% confidence interval [CI] -5.28 to -0.31; p = 0.037, I2 = 86.7%) and a standardized mean difference (SMD) of -1.33 (95% CI -2.14 to -0.51; p = 0.014, I2 = 31.7%), and in reducing BMI change compared to placebo (SMD -1.90, 95% CI -3.09 to -0.70; p = 0.02, I2 = 0%). Sedation risk was lower with topiramate than with placebo (odds ratio 0.19, 95% CI 0.11-0.32; p < 0.01, I2 = 0%). No significant differences were found in dropouts, any other side effects, and metabolic parameters, such as triglycerides, total cholesterol, low-density lipoprotein, high-density lipoprotein, and glucose. None of the included studies reported assessments on cognitive side effects.

CONCLUSION

This meta-analysis suggests that topiramate is an effective and safe option for mitigating SGA-associated weight gain in children.

Trajectories and Predictors for the Development of Clinically Significant Weight Gain in Children and Adolescents Prescribed Second-Generation Antipsychotics

Background: As many as 60% of pediatric patients taking second-generation antipsychotics (SGA) experience weight gain (antipsychotic-induced weight gain). However, the subgroup that experienced substantial weight increase was poorly understood. This study aimed to identify the development and predictors of clinically significant weight gain (CSWG) among pediatric SGA recipients. Methods: A retrospective analysis of the 2016 to 2021 IQVIA Ambulatory EMR-US database was conducted. The study cohort comprised SGA-naive patients ages 5 to 19, continuously prescribed SGA for ≥90 days. CSWG was defined as a weight gain in BMI z-score >0.5. The development of CSWG was described using the group-based trajectory model approach, and multinomial logistic regression analysis was conducted to examine the risk factors associated with the CSWG trajectories. Results: Of the 16,262 SGA recipients who met the inclusion criteria, 4 distinctive CSWG trajectories were identified: (1) Rapid (14.6%), (2) Gradual (12.6%), (3) Transit (7%), and (4) no CSWG (65.8%). Factors associated with a higher likelihood of having rapid or gradual CSWG versus nonsignificant weight gain were being younger (OR [95% CI] = 12-17 vs. 5-11, Rapid, 0.727 [0.655-0.806]; Gradual, 0.776 [0.668-0.903]), male (Rapid, 1.131 [1.021-1.253]), non-Hispanic White (Black vs. White: Rapid, 0.833 [0.709-0.98]), with lower baseline BMI z-score (Rapid, 0.376 [0.361-0.392]; Gradual, 0.449 [0.424-0.476]), and receiving olanzapine as the initial SGA (Rapid, 1.38 [1.093-1.74]). The Area under the Receiver operating characteristic (ROC) Curve for the comparison of rapid and gradual CSWG with no CSWG trajectory were 0.83 and 0.80, respectively. Conclusions: SGA recipients experienced four distinctive CSWG trajectories (Rapid, Gradual, Transient, and No CSWG). The risk of CSWG could be predicted using patient characteristics at the SGA initiation. This insight highlights the importance of personalized monitoring and timely intervention strategies for at-risk individuals who experienced persistent CSWG in real practice.

Therapeutic Drug Monitoring to Optimize Risperidone Treatment in Children with Autism Spectrum Disorder

BACKGROUND

Risperidone is an atypical antipsychotic drug used to treat irritability and aggression in children and adolescents with autism spectrum disorder. In an earlier study, the sum trough concentration of risperidone and its metabolite (9-hydroxyrisperidone) was positively correlated with weight gain and effectiveness. The aim of this study was to determine the therapeutic window for risperidone sum trough concentrations that balances weight gain with treatment effectiveness in this population. In addition, the effect of therapeutic drug monitoring (TDM) on treatment optimization was simulated.

METHODS

In a retrospective cohort (n = 24 children), the target window for risperidone leading to the least increase in body mass index z-scores while retaining effectiveness as measured by the irritability subscale of the Aberrant Behavior Checklist was determined using receiver operating curve analysis. This target range was used to simulate the effect of TDM using a population PK model implemented in the software platform InsightRX. Dosing advice was based on plasma trough concentrations and the dose administered at 12 weeks to simulate whether more children would be on target at 24 weeks after the start of treatment.

RESULTS

A risperidone sum trough target range of 3.5-7.0 mcg/L would minimize increase in body mass index z-score and optimize effectiveness. Dosing advice using TDM and a population PK model would lead to a larger proportion of children achieving the target concentration range (62.5% versus 16.7%).

CONCLUSIONS

TDM may be a useful tool for optimizing risperidone treatment in children and adolescents with autism spectrum disorder.

Group-Based Trajectory Modeling to Identify Patterns of Antipsychotic-Associated Weight Gain Among Children and Adolescents

PURPOSE/BACKGROUND

Antipsychotic-associated weight gain (AAWG) is a common adverse effect of second-generation antipsychotic (SGA) medications among children and adolescents. This study applied group-based trajectory modeling to identify latent trajectories of AAWG among children and adolescents and associated risk factors.

PROCEDURES

This was a retrospective analysis of the IQVIA Ambulatory EMR-US database from 2016 to 2021. The cohort consisted of patients aged 6 to 19 years who were SGA naive and received at least 90 days of continuous SGA prescriptions. Group-based trajectory modeling was used to identify latent trajectories of AAWG development during a 24-month period since SGA initiation, and multinomial logistic regression analysis was conducted to examine the risk factors associated with the identified AAWG trajectories.

FINDINGS/RESULTS

A total of 16,262 patients were included. Group-based trajectory modeling identified the following 4 distinctive AAWG trajectories: persistent severe weight gain (4.2%), persistent moderate weight gain (20.1%), minor weight change (69.6%), and gradual weight loss (6.1%). Compared with the minor weight change group, younger age (12-17 vs 5-11: odds ratio [OR], 0.634; 95% confidence interval [CI], 0.521-0.771), lower baseline body mass index z -score (OR, 0.216; 95% CI, 0.198-0.236), and receiving olanzapine as the initial SGA (olanzapine vs aripiprazole: OR, 1.686; 95% CI, 1.673-1.699) were more likely to follow severe weight gain trajectories. The area under the receiver operating characteristic curves for comparing severe weight gain versus minor weight change groups and moderate weight vs minor weight change groups in the multinomial regression model were 0.91 and 0.8, respectively.

IMPLICATIONS/CONCLUSIONS

A quarter of pediatric SGA recipients experienced persistent weight gain during the SGA treatment. The risk of having persistent AAWG can be predicted using patient characteristics collected before SGA initiation and the initial SGA agent.

Antipsychotic prescribing patterns in children and adolescents attending Australian general practice in 2011 and 2017

Background

Antipsychotics are increasingly prescribed to children and adolescents worldwide, but little is known about reasons for prescribing. We aimed to examine patterns of paediatric antipsychotic prescribing in Australian primary care services in 2011 and 2017, including diagnoses, sociodemographic characteristics, off-label prescribing, and psychotropic co-prescribing.

Methods

Retrospective analysis of electronic health records (EHRs) using a large Australian general practice database (MedicineInsight). Diagnoses of mental disorders were extracted from EHRs and associated with antipsychotic prescriptions within the same calendar year for three age-groups: 0-9, 10-14, and 15-18-year-olds.

Results

In 2017, children/adolescents with mental health diagnoses were more likely to be prescribed antipsychotics (2.9% of 27,412 patients) than in 2011 (2.0% of 8418 patients; absolute difference +0.9, 95% CI + 0.5, +1.4). The likelihood was greater for patients with bipolar disorders (21.6% vs. 41.5%), eating disorders (1.1% vs. 7.2%), and autism without behavioural problems (3.7% vs. 6.1%). Depression/anxiety (adjusted 26.8% of patients 2011; 30.8% 2017) was the most common diagnosis associated with antipsychotics in both years. Most antipsychotics were prescribed off-label (69.8% 2011; 79.7% 2017; absolute difference +9.8, 95% CI + 1.54, +18.4). Off-label prescribing increased most among those aged 15-18-years, females, and patients living in outer regional/remote/very remote communities and the most disadvantaged areas. The three most frequently prescribed antipsychotics in both years were risperidone, quetiapine, and olanzapine. Psychotropic co-prescribing among patients receiving antipsychotic prescriptions was approximately 69% in both years.

Conclusions

Prescribing antipsychotics for mental health diagnoses to children/adolescents attending Australian general practices was more frequent in 2017 than 2011, and most commonly associated with depression/anxiety diagnoses. In both years, most prescribing was off-label. The majority of patients were co-prescribed other classes of psychotropics along with antipsychotics.

The use of psychotropic medications in autistic individuals (21 years and younger) in Western Australia: A preliminary investigation

LAY ABSTRACT

Prescriptions and use of medications to treat mental health conditions in young autistic populations are inconsistent worldwide. This makes it hard to compare findings from international studies to the Australian autistic population, where there are limited relevant studies. Apart from risperidone, there are no other medications specified for direct use in autistic persons. This study aims to gain initial broad understanding of the use of medications, commonly prescribed for mental health conditions, specifically by autistics under the age of 21 years. We analysed data that were previously collected as part of the Western Australian Autism Biological Registry between 2011 and 2015 which amounted to 239 surveys completed on young persons with diagnosed autism. The questionnaires included information on co-occurring conditions, current or previous use of medications and reasons for use of the medications. Only one-quarter of the participants in this study reported using at least one mental health-related medication in their lifetime. The most reported medications were stimulants, antidepressants and antiepileptics. The reasons for using medication included managing attention deficit hyperactivity disorder, challenging behaviours, seizures, sleep difficulties and symptoms of anxiety and depression. The number of individuals reporting medication use in this study was lower compared to other developed countries. Nevertheless, these medications should be monitored due to limited understanding of their use to manage co-occurring symptoms in young autistic persons. The findings highlight the importance of ongoing research to better understand mental health-related medications and inform best practice.

Influence of CYP2D6 Metabolizer Status on Risperidone and Paliperidone Tolerability in Children and Adolescents

Background: Risperidone and, to a lesser extent, paliperidone are metabolized by CYP2D6; however, there are limited data related to variation in CYP2D6 phenotypes and the tolerability of these medications in children and adolescents. Furthermore, the impact of CYP2D6 on the association of risperidone and paliperidone with hyperprolactinemia in youth is not well understood. Methods: A retrospective chart review was performed in psychiatrically hospitalized children and adolescents prescribed risperidone (n = 263, age = 3-18 years, mean age = 13 ± 3 years, 49% female) or paliperidone (n = 124, age = 5-18 years, mean age = 15 ± 2 years, 44% female) who had CYP2D6 genotyping performed as part of routine care. CYP2D6 phenotypes were determined based on Clinical Pharmacogenetics Implementation Consortium guidelines and CYP2D6 inhibitors causing phenoconversion. Adverse effects were obtained from a review of the electronic health record, and patients were selected, in part, to enrich non-normal metabolizers. Results: Among risperidone-treated patients, 45% experienced an adverse effect, whereas 36% of paliperidone-treated patients experienced adverse effects. Discontinuation of risperidone due to lack of efficacy was more frequent in the CYP2D6 normal metabolizers and ultrarapid metabolizers compared with intermediate metabolizers (IMs) and phenoconverted poor metabolizers (pPMs) (54.5% vs. 32.7%, p < 0.001). Discontinuation due to weight gain was more common among risperidone- than paliperidone-treated patients (17% vs. 7%, p = 0.011). Among those taking paliperidone, CYP2D6 was associated with discontinuation due to side effects (p = 0.008), and youth with slower CYP2D6 metabolism (i.e., pPMs and IMs) were more likely to discontinue. Hyperprolactinemia was found in 10% of paliperidone-treated patients and 5% of risperidone-treated patients, and slower CYP2D6 metabolizers required higher risperidone doses to cause hyperprolactinemia (p = 0.011). Conclusions: CYP2D6 phenotype is associated with discontinuation of risperidone due to lack of efficacy and the dose of risperidone that induced hyperprolactinemia, as well as discontinuation of paliperidone due to adverse effects. Future studies should evaluate exposure-response and toxicity relationships in risperidone- and paliperidone-treated youth.

Baseline BMI is associated with clinical symptom improvements in first-episode schizophrenia: a longitudinal study

Background: There is sufficient evidence of the high prevalence of obesity in schizophrenia (SZ) compared to the general population. Previous studies have reported that weight gain correlated with the response to antipsychotics in patients with SZ. Nonetheless, the relationship between body mass index (BMI) and therapeutic benefits remains unclear. This study was designed to investigate the association between baseline BMI and improvements in clinical symptoms after treatment with antipsychotics in first-episode and medication-naïve SZ (FEMNS). Methods: A total of 241 FEMNS patients were enrolled and received risperidone over 12 weeks. The severity of symptoms was assessed by the Positive and Negative Syndrome Scale (PANSS) and BMI was measured at baseline and 12-week follow-up. Results: We found that risperidone treatment raised the body weight of FEMNS patients and baseline BMI was negatively correlated with the improvement in negative symptoms (r = -0.14, p = 0.03) after 12-week treatment. Linear regression analysis indicated that baseline BMI was an independent predictor of response to risperidone in the early stage of SZ. Conclusion: The current study suggests a close relationship between baseline BMI and improvement in negative symptoms in SZ.

Utilization and Predictors of Adjuvant Metformin for Children and Adolescents on Mixed Receptor Antagonists (Second-Generation Antipsychotics)

OBJECTIVE

To examine utilization and predictors of adjuvant metformin among pediatric recipients of second-generation antipsychotics (SGAs) (mixed receptor antagonist).

METHOD

This study used 2016-2021 data of a national electronic medical record database. Eligible participants were children aged 6 to 17 with a new SGA prescription for at least 90 days. Predictors of prescribing adjuvant metformin in general and to nonobese pediatric SGA recipients in particular were assessed using conditional logistic regression and logistic regression analyses, respectively.

RESULTS

Of 30,009 pediatric SGA recipients identified, 2.3% (n = 785) received adjuvant metformin. Among 597 participants with a body mass index z score documented during the 6-month period before metformin initiation, 83% were obese, and 34% had either hyperglycemia or diabetes. Significant predictors for metformin prescribing were high baseline body mass index z score (odds ratio [OR] 3.5, 95% CI 2.8-4.5, p < .0001), having hyperglycemia or diabetes (OR 5.3, 95% CI 3.4-8.3, p < .0001), and undergoing a switch from a higher metabolic risk SGA to a lower risk one (OR 9.9, 95% CI 3.5-27.5, p = .0025) or a switch in the opposite direction (OR 4.1, 95% CI 2.1-7.9, p = .0051) compared with no switch. Nonobese metformin users were more likely to have a positive body mass index z score velocity before metformin initiation than their obese counterparts. Receiving the index SGA prescribed by a mental health specialist was associated with higher likelihood of receiving adjuvant metformin and receiving metformin before the development of obesity.

CONCLUSION

Utilization of adjuvant metformin among pediatric SGA recipients is uncommon, and early introduction of the medication among nonobese children is rare.

Effectiveness of lifestyle interventions for improving the physical health of children and adolescents taking antipsychotic medications: protocol for a systematic review and meta-analysis

INTRODUCTION

Children and adolescents are increasingly prescribed antipsychotic medications off-label in the treatment of behavioural disorders. While antipsychotic medications are effective in managing behavioural issues, they carry a significant risk of adverse events that compromise ongoing physical health. Of particular concern is the negative impact antipsychotic medications have on cardiometabolic health. Interventions that aim to modify lifestyle habits have the potential to alleviate the adverse effects of antipsychotic medication by enhancing weight management, increasing physical activity, promoting better nutritional practices, improving dietary habits and promoting healthier sleep patterns and sleep hygiene. However, a comprehensive review has not been performed to ascertain the effectiveness of lifestyle interventions for children and adolescents who are at increased risk of antipsychotic-induced compromises to their physical health.

METHODS AND ANALYSIS

This systematic review will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. Four databases will be searched without any year constraints to identify randomised controlled trials that are published in the English language and report a lifestyle intervention compared with usual care with any physical health outcome measure. Trial registers and results repositories will be scoured to identify additional studies. Two reviewers will independently conduct screening, data extraction and quality assessment and compare the results. Quantitative data will be synthesised, where appropriate, through a random-effects meta-analysis model. Otherwise, data will be reported in a qualitative (narrative) synthesis. Heterogeneity will be quantified using the I2 statistic. The Cochrane Risk of Bias 2 tool will be used for risk of bias assessment. The Grading of Recommendations, Assessment, Development and Evaluation system will be used to evaluate the cumulative body of evidence.

ETHICS AND DISSEMINATION

Ethics approval is not required. The publication plan will target high-impact, peer-reviewed journals that fall under the scope of Psychiatry and Mental Health.

PROSPERO REGISTRATION NUMBER

CRD42022380277.

Towards precision dosing of aripiprazole in children and adolescents with autism spectrum disorder: Linking blood levels to weight gain and effectiveness

AIMS

Aripiprazole is one of the most commonly prescribed antipsychotic drugs to children and adolescents worldwide, but it is associated with serious side-effects, including weight gain. This study assessed the population pharmacokinetics of aripiprazole and its active metabolite and investigated the relationship between pharmacokinetic parameters and body mass index (BMI) in children and adolescents with autism spectrum disorder (ASD) and behavioural problems. Secondary outcomes were metabolic, endocrine, extrapyramidal and cardiac side-effects and drug effectiveness.

METHODS

Twenty-four children and adolescents (15 males, 9 females) aged 6-18 years were included in a 24-week prospective observational trial. Drug plasma concentrations, side-effects and drug effectiveness were measured at several time points during follow-up. Relevant pharmacokinetic covariates, including CYP2D6, CYP3A4, CYP3A5 and P-glycoprotein (ABCB1) genotypes, were determined. Nonlinear mixed-effects modelling (NONMEM®) was used for a population pharmacokinetic analysis with 92 aripiprazole and 91 dehydro-aripiprazole concentrations. Subsequently, model-based trough concentrations, maximum concentrations and 24-h area under the curves (AUCs) were analysed to predict outcomes using generalized and linear mixed-effects models.

RESULTS

For both aripiprazole and dehydro-aripiprazole, one-compartment models best described the measured concentrations, with albumin and BMI as significant covariates. Of all the pharmacokinetic parameters, higher sum (aripiprazole plus dehydro-aripiprazole) trough concentrations best predicted higher BMI z-scores (P < .001) and higher Hb1Ac levels (P = .03) during follow-up. No significant association was found between sum concentrations and effectiveness.

CONCLUSIONS

Our results indicate a threshold with regard to safety, which suggests that therapeutic drug monitoring of aripiprazole could potentially increase safety in children and adolescents with ASD and behavioural problems.

Association Between Abnormal Metabolic Parameters and Receiving Subsequent Interventions in Children and Adolescents Initiating Second-Generation Antipsychotics

Objectives: This study aimed to examine the association between abnormal readings of metabolic parameters detected during second-generation antipsychotic (SGA) treatment and the likelihood of receiving subsequent adverse drug event interventions. Methods: This was a nested case-control study conducted on patients 1-17 years of age with at least two prescriptions of SGAs between January 2010 and January 2019 using TriNetX EMR data. Following an incident density sampling procedure, patients who received the SGA metabolic adverse event intervention (mAEI) (case) were matched with three nonrecipients (controls). The abnormal readings of metabolic parameters within 30 days before the initiation of mAIEs were further identified. These metabolic parameters include body mass index (BMI) and laboratory parameters such as cholesterol, high-density lipoprotein, low-density lipoprotein, triglycerides, blood glucose, HbA1c, thyroid hormones, liver enzymes, and prolactin. The association of abnormal metabolic parameters with subsequent mAEIs was assessed using a conditional logistic regression model, after adjusting for demographic and other clinical risk factors. Results: One thousand eight hundred eighty-four children and adolescents met the inclusion criteria and were prescribed SGA mAEIs. The most common types of mAEIs prescribed were weight management pharmacotherapy (40.6%), switching from a high or medium metabolic risk profile SGA to a low-risk one (30.9%), nonpharmacological treatment (25.4%), and switching from SGA polytherapy to monotherapy (11.7%). The conditional logistic regression analysis on matched mAEI recipients and nonrecipients showed that patients with an abnormal BMI had 43% higher odds of receiving mAEI (odds ratio [95% confidence interval]: 1.43 [1.13-1.79]). However, the presence of an abnormal laboratory reading was not associated with the initiation of mAEIs. Conclusions: The prescribing of mAEIs were associated with the presence of obesity, but not with abnormal readings of other metabolic parameters, suggesting that additional data are needed to clarify the long-term implication of SGA metabolic adverse events other than weight gain and to inform the appropriate timing for interventions.

Antipsychotic-Related Prolactin Levels and Sexual Dysfunction in Mentally Ill Youth: A 3-Month Cohort Study

OBJECTIVE

Although these agents are used frequently, prospective data comparing serotonin/dopamine antagonists/partial agonists (SDAs) in youth regarding prolactin levels and sexual adverse effects (SeAEs) are scarce.

METHOD

Youth aged 4 to 17 years, SDA-naive (≤1 week exposure) or SDA-free for ≥4 weeks were followed for ≤12 weeks on clinician's-choice aripiprazole, olanzapine, quetiapine, or risperidone. Serum prolactin levels, SDA plasma levels, and rating scale-based SeAEs were assessed monthly.

RESULTS

Altogether, 396 youth (aged 14.0 ± 3.1 years, male participants = 55.1%, mood spectrum disorders = 56.3%, schizophrenia spectrum disorders = 24.0%, aggressive-behavior disorders = 19.7%; SDA-naive = 77.8%) were followed for 10.6 ± 3.5 weeks. Peak prolactin levels/any hyperprolactinemia/triple-upper-limit-of-normal-prolactin level were highest with risperidone (median = 56.1 ng/mL/incidence = 93.5%/44.5%), followed by olanzapine (median = 31.4 ng/mL/incidence = 42.7/76.4%/7.3%), quetiapine (median = 19.5 ng/mL/incidence = 39.7%/2.5%) and aripiprazole (median = 7.1 ng/mL/incidence = 5.8%/0.0%) (all p < .0001), with peak levels at 4 to 5 weeks for risperidone and olanzapine. Altogether, 26.8% had ≥1 newly incident SeAEs (risperidone = 29.4%, quetiapine = 29.0%, olanzapine = 25.5%, aripiprazole = 22.1%, p = .59). The most common SeAEs were menstrual disturbance = 28.0% (risperidone = 35.4%, olanzapine = 26.7%, quetiapine = 24.4% aripiprazole = 23.9%, p = .58), decreased erections = 14.8% (olanzapine = 18.5%, risperidone = 16.1%, quetiapine = 13.6%, aripiprazole = 10.8%, p = .91) and decreased libido = 8.6% (risperidone = 12.5%, olanzapine = 11.9%, quetiapine = 7.9%, aripiprazole = 2.4%, p = .082), with the least frequent being gynecomastia = 7.8% (quetiapine = 9.7%, risperidone = 9.2%, aripiprazole = 7.8%, olanzapine = 2.6%, p = 0.61), galactorrhea = 6.7% (risperidone = 18.8%, quetiapine = 2.4%, olanzapine = 0.0%, aripiprazole = 0.0%, p = .0008), and mastalgia = 5.8% (olanzapine = 7.3%, risperidone = 6.4%, aripiprazole = 5.7%, quetiapine = 3.9%, p = .84). Postpubertal status and female sex were significantly associated with prolactin levels and SeAEs. Serum prolactin levels were rarely associated with SeAEs (16.7% of all analyzed associations), except for the relationship between severe hyperprolactinemia and decreased libido (p = .013) and erectile dysfunction (p = .037) at week 4, and with galactorrhea at week 4 (p = .0040), week 12 (p = .013), and last visit (p < .001).

CONCLUSION

Risperidone, followed by olanzapine, was associated with the largest prolactin elevations, with little prolactin-elevating effects of quetiapine and, especially, aripiprazole. Except for risperidone-related galactorrhea, SeAEs did not differ significantly across SDAs, and only galactorrhea, decreased libido, and erectile dysfunction were associated with prolactin levels. In youth, SeAEs are not sensitive markers for significantly elevated prolactin levels.

Gene-Environment Interplay in the Development of Overweight

PURPOSE

Overweight in youth is influenced by genes and environment. Gene-environment interaction (G×E) has been demonstrated in twin studies and recent developments in genetics allow for studying G×E using individual genetic predispositions for overweight. We examine genetic influence on trajectories of overweight during adolescence and early adulthood and determine whether genetic predisposition is attenuated by higher socioeconomic status and having physically active parents.

METHODS

Latent class growth models of overweight were fitted using data from the TRacking Adolescents' Individual Lives Survey (n = 2720). A polygenic score for body mass index (BMI) was derived using summary statistics from a genome-wide association study of adult BMI (N = ∼700,000) and tested as predictor of developmental pathways of overweight. Multinomial logistic regression models were used to examine effects of interactions of genetic predisposition with socioeconomic status and parental physical activity (n = 1675).

RESULTS

A three-class model of developmental pathways of overweight fitted the data best ("non-overweight", "adolescent-onset overweight", and "persistent overweight"). The polygenic score for BMI and socioeconomic status distinguished the persistent overweight and adolescent-onset overweight trajectories from the non-overweight trajectory. Only genetic predisposition differentiated the adolescent-onset from the persistent overweight trajectory. There was no evidence for G×E.

DISCUSSION

Higher genetic predisposition increased the risk of developing overweight during adolescence and young adulthood and was associated with an earlier age at onset. We did not find that genetic predisposition was offset by higher socioeconomic status or having physically active parents. Instead, lower socioeconomic status and higher genetic predisposition acted as additive risk factors for developing overweight.

[Particularities and problems of psychopharmacology in childhood and adolescence]

The drug treatment of mental illness in childhood and adolescence poses a particular clinical and legal challenge. Reasons for this include the often necessary off-label use and existing knowledge gaps regarding the long-term effects of the neuro-/psychotropic drugs used. In this article, the prerequisites for therapy with neuro/psychotropic drugs, such as the need for age-appropriate inclusion of children and adolescents in the decision-making and education process, as well as the evaluation of medication, the consideration of biological age- and maturation-related factors, and the special measures for off-label use, are discussed. We further discuss general problems in the development and use of neuro-/psychotropic drugs, such as the difficulties in relation to proof of effectiveness, reimbursement and liability issues of off-label administration, and the problems of conducting clinical trials with children and adolescents.

Clinical review: Guide to pharmacological management in pediatric obesity medicine

Introduction

Newer pharmacotherapy agents (anti-obesity medication [AOM]) are revolutionizing the management of children and adolescents with obesity. Previously, treatment based on intensive behavioral therapy involved many patient and family contact hours and yielded improvements in obesity status of 1-3 percent of the 95th percentile of the body mass index (BMI). Newer AOMs are yielding more clinically significant improvement of 5-18 percent. This review provides guidance for practitioners in the care of children and adolescents with obesity who frequently have complex medical and behavioral health care needs. Specifically, we discuss the use of newer AOMs in these complex patients.

Methods

This review details an approach to the care of the child and adolescent with obesity using AOMs. A shared decision-making process is presented in which the provider and the patient and family collaborate on care. Management of medical and behavioral components of the disease of obesity in the child are discussed.

Results

Early aggressive treatment is recommended, starting with an assessment of associated medical and behavioral complications, weight promoting medications, use of AOMs and ongoing care. Intensive behavioral therapy is foundational to treatment, but not a specific treatment. Patients and families deserve education on expected outcomes with each therapeutic option.

Conclusions

The use of new AOMs in children and adolescents has changed expected clinical outcomes in the field of pediatric obesity management. Clinically significant improvement in obesity status occurs when AOMs are used early and aggressively. Ongoing, chronic care is the model for optimizing outcomes using a shared decision-making between provider and patient/family. Depending on the experience and comfort level of the primary care practitioner, referral to an obesity medicine specialist may be appropriate, particularly when obesity related co-morbidities are present and pharmacotherapy and metabolic and bariatric surgery are considerations.

Emerging epigenetic dynamics in gut-microglia brain axis: experimental and clinical implications for accelerated brain aging in schizophrenia

Brain aging, which involves a progressive loss of neuronal functions, has been reported to be premature in probands affected by schizophrenia (SCZ). Evidence shows that SCZ and accelerated aging are linked to changes in epigenetic clocks. Recent cross-sectional magnetic resonance imaging analyses have uncovered reduced brain reserves and connectivity in patients with SCZ compared to typically aging individuals. These data may indicate early abnormalities of neuronal function following cyto-architectural alterations in SCZ. The current mechanistic knowledge on brain aging, epigenetic changes, and their neuropsychiatric disease association remains incomplete. With this review, we explore and summarize evidence that the dynamics of gut-resident bacteria can modulate molecular brain function and contribute to age-related neurodegenerative disorders. It is known that environmental factors such as mode of birth, dietary habits, stress, pollution, and infections can modulate the microbiota system to regulate intrinsic neuronal activity and brain reserves through the vagus nerve and enteric nervous system. Microbiota-derived molecules can trigger continuous activation of the microglial sensome, groups of receptors and proteins that permit microglia to remodel the brain neurochemistry based on complex environmental activities. This remodeling causes aberrant brain plasticity as early as fetal developmental stages, and after the onset of first-episode psychosis. In the central nervous system, microglia, the resident immune surveillance cells, are involved in neurogenesis, phagocytosis of synapses and neurological dysfunction. Here, we review recent emerging experimental and clinical evidence regarding the gut-brain microglia axis involvement in SCZ pathology and etiology, the hypothesis of brain reserve and accelerated aging induced by dietary habits, stress, pollution, infections, and other factors. We also include in our review the possibilities and consequences of gut dysbiosis activities on microglial function and dysfunction, together with the effects of antipsychotics on the gut microbiome: therapeutic and adverse effects, role of fecal microbiota transplant and psychobiotics on microglial sensomes, brain reserves and SCZ-derived accelerated aging. We end the review with suggestions that may be applicable to the clinical setting. For example, we propose that psychobiotics might contribute to antipsychotic-induced therapeutic benefits or adverse effects, as well as reduce the aging process through the gut-brain microglia axis. Overall, we hope that this review will help increase the understanding of SCZ pathogenesis as related to chronobiology and the gut microbiome, as well as reveal new concepts that will serve as novel treatment targets for SCZ.

A Double-Blind Placebo-Controlled Pilot Study of Topiramate in Manic Adolescents Treated with Olanzapine

Objective: To conduct a pilot study to examine topiramate for the treatment of weight gain associated with olanzapine in manic adolescents with bipolar disorder. Methods: We conducted a 12-week double-blind randomized placebo-controlled pilot study of topiramate (300-400 mg/day) versus placebo in manic youth (ages 10-18 years) with bipolar disorder who were treated with olanzapine (10-20 mg/day). The primary outcome measure was gender- and weight-normed change in body mass index (BMI z-score). Results: Thirty manic adolescents were treated with olanzapine and were randomized to either topiramate (n = 16) or placebo (n = 14). There was a significantly greater increase in BMI z-scores in the placebo group (0.28 standard deviations [SDs]) compared with the topiramate group (0.10 SDs) when analyzed by longitudinal regression (p = 0.049). The placebo group had greater increases in raw BMI and weight (2.25 kg/m² and 6.9 kg, respectively) compared with the topiramate (0.99 kg/m² and 2.9 kg) group (p = 0.011 for BMI, p = 0.016 for weight). The most common adverse events in the topiramate group were headache (n = 7, 44%), gastrointestinal upset (n = 3, 19%), and muscle stiffness (n = 3, 19%). Conclusions: Topiramate may minimize the weight gain associated with olanzapine treatment in adolescents with bipolar disorder. Moreover, topiramate in combination with olanzapine was well tolerated. Larger studies that are adequately powered are necessary to determine the efficacy of topiramate for second-generation antipsychotic-related weight gain. Trial Registration: ClinicalTrials.gov Identifier number NCT00394095.

Central Precocious Puberty (CPP) in Two Girls With Autism Spectrum Disorder (ASD)

In recent years, some cases of central precocious puberty (CPP) have been reported in patients with autism spectrum disorder (ASD). Here, we report CPP in two girls with ASD. The first case was a girl, 7 years and 9 months of age. Breast budding was observed at 7 years and 2 months and pubic hair at 7 years and 8 months of age. She was diagnosed with CPP based on guidelines and ASD according to her developmental history. Considering the psychosocial burden caused by the discrepancy between her cognitive and behavioral development and the progression of secondary sex characteristics, gonadotropin-releasing hormone (GnRH) analog therapy was initiated. Case 2 was a girl, 9 years and 8 months of age. She was diagnosed with ASD according to her developmental history. Treatment using oral aripiprazole for hypersensitivity to touch and taste had been initiated, with the onset of menarche at 9 years and 10 months of age. Breast budding had been observed before 7 years and 6 months old. She was diagnosed with CPP based on guidelines. Considering that menarche was not a significant psychosocial burden and the difficulty for her and her family to attend regular follow-ups, GnRH analog therapy was not initiated. Although the pathophysiological pathway linking ASD and CPP remains to be elucidated clinically, attention to CPP in ASD is needed, considering the increase in reported cases. In addition, the indication of GnRH analog therapy should be judged considering the psychosocial burden associated with secondary sexual characteristics.

Systematic review of probiotics as an adjuvant treatment for psychiatric disorders

Introduction

Many psychiatric illnesses have been linked to the gut microbiome, with supplements such as probiotics showing some efficacy in alleviating the symptoms of some psychiatric illnesses. The aim of this review is to evaluate the current literature investigating the effects of adjuvant probiotic or synbiotic administration in combination with first-line treatments for psychiatric illnesses.

Method

A systematic search of four databases was conducted using key terms related to treatments for psychiatric illnesses, the gut microbiome, and probiotics. All results were then evaluated based on specific eligibility criteria.

Results

Eight studies met eligibility criteria and were analyzed for reported changes in outcome measures used to assess the symptoms of psychiatric illness and the tolerability of treatment. All Major Depressive Disorder (MDD) (n = 5) and Generalized Anxiety Disorder (GAD) (n = 1) studies found adjuvant probiotic or synbiotic treatment to be more efficacious in improving the symptoms of psychiatric illness than the first-line treatment alone or with placebo. The schizophrenia studies (n = 2) found adjuvant probiotic treatment to have no significant difference in clinical outcomes, but it was found to improve the tolerability of first-line antipsychotics.

Discussion and conclusion

The findings of the studies included in this review suggest the use of adjuvant probiotic treatment with selective serotonin reuptake inhibitors (SSRIs) for MDD and GAD to be superior to SSRI treatment alone. Probiotic adjuvant treatment with antipsychotics could be beneficial for improving the tolerability of the antipsychotics, but these findings do not suggest that adjuvant probiotic treatment would result in improved clinical outcomes for symptoms of schizophrenia.

Psychiatric Disorders and Obesity in Childhood and Adolescence-A Systematic Review of Cross-Sectional Studies

Obesity and psychiatric disorders have high prevalence and are both considered major health problems. Within the last decades, the rates of obesity have risen over 6%, while the prevalence of psychiatric disorders is over 12% for children and adolescents. The aim of this study was to systematically review the evidence regarding the relation of obesity and psychiatric disorders in childhood and adolescence. This review, based on the PRISMA guidelines, included cross-sectional studies published within the last decade, pertaining to the relation between psychiatric disorders and obesity in children and adolescents up to the age of 19 years. Studies on eating disorders were excluded. A total of 14 studies of 23,442 children and adolescents that investigated the relation of obesity with anxiety, mood disorders, and psychosis were included in this systematic review. Nine of the included studies reported a significant relationship between the psychiatric disorder under investigation and obesity. Understanding the nexus between obesity and psychiatric disorders in children and adolescents is of great importance, given the alarming increase in both conditions in youth. Such findings could facilitate the development and implementation of targeted interventions.

Effects of Long-Term Sertraline Use on Pediatric Growth and Development: The Sertraline Pediatric Registry for The Evaluation of Safety (SPRITES)

Objective: To describe the results of the Sertraline Pediatric Registry for The Evaluation of Safety (SPRITES) outcome measures of cognitive, emotional, and physical development following long-term treatment with sertraline (for up to 3 years) in children and adolescents aged 6-16 years. Methods: SPRITES was a long-term, multicenter, open-label, prospective observational study designed to compare physical and psychological development in pediatric patients exposed to sertraline (with or without psychotherapy) or psychotherapy alone in usual care settings. Data were summarized descriptively, and outcomes were evaluated using a marginal structural model. Results: Between April 2012 and September 2020, 941 patients across 44 U.S. sites participated in the study. At baseline, 695 participants were exposed to sertraline (physician prescribed) with or without psychotherapy, and 245 participants were exposed to psychotherapy alone. Of these, 432 participants (46.0%) completed the full 3-year study follow-up. No significant changes across time were found in standardized height, BRIEF (Behavior Rating Inventory of Executive Function), Trails B, and Tanner stage based on cumulative sertraline exposure or exposure since the last visit. Change in mean standardized weight across time was positively associated with both cumulative sertraline exposure (p = 0.02) and exposure since the last visit (p = 0.029). The mean changes from baseline across time in standardized weight were standard deviations of 0.02, 0.03, 0.16, and 0.17 at months 3, 6, 30, and 36, respectively. However, this finding was not observed in the mean change across time in standardized body mass index, which was not statistically significant. Conclusions: Results are consistent with normal development. Although a statistically significant finding for standardized weight was observed in comparative analyses, the magnitude of the change is small and observed at higher doses of sertraline only. No other significant differences were observed between the "sertraline" group and the "no pharmacological therapy" group on other primary outcome measures. ClinicalTrials.gov identifier: NCT01302080.

Weight Gain During Antipsychotic Treatment in Children, Adolescents, and Adults: A Disproportionality Analysis in the Global Pharmacovigilance Database, Vigibase®

INTRODUCTION

While antipsychotic-induced weight gain has been widely described in adults, it has yet to be better characterized in children and adolescents.

OBJECTIVE

The aim of this study was to assess antipsychotic-induced weight-gain reporting in children and adolescents as compared to adults, and according to the type of antipsychotic.

METHODS

The study is an observational, case-non-case study using individual case safety reports from the WHO global pharmacovigilance database VigiBase^® from 1 January 2000 to 2 June 2021. Disproportionality in antipsychotic-related weight-gain reporting in children and adolescents compared to adults was evaluated based on reporting odds ratios (RORs) with corresponding 95% confidence intervals (CIs) through multivariate logistic regression modeling. Analysis was adjusted for sex, region of reporting, year of notification, reporter qualification, concomitant use of antidepressants, and use of more than one antipsychotic.

RESULTS

Among 282,224 antipsychotic-related spontaneous reports included in this analysis, we identified 16,881 (6.0%) weight-gain cases. Disproportionality in weight-gain reporting was found in children (adjusted ROR (aROR) 3.6; 95% CI 3.3-3.8) and in adolescents (aROR 2.3; 95% CI 2.2-2.4) compared to adults. Use of risperidone was associated with the highest increase in weight-gain reporting in children (aROR 4.9; 95% CI 3.9-6.1) and adolescents (aROR 3.6; 95% CI 3.1-4.1).

CONCLUSIONS

Compared to adults, weight-gain reporting with antipsychotics was disproportionally higher in the pediatric population, especially in children under 12 years of age. Considering the impact of weight gain on global morbidity and mortality, physicians should closely monitor weight gain in young patients, especially children on risperidone.

[Mental disorders and diabetes mellitus (Update 2023)]

Psychiatric disorders and psychological problems are common in patients with diabetes mellitus. There is a twofold increase in depression which is associated with suboptimal glycemic control and increased morbidity and mortality. Other psychiatric disorders with a higher incidence of diabetes are cognitive impairment, dementia, disturbed eating behavior, anxiety disorders, schizophrenia, bipolar disorders and borderline personality disorder. The coincidence of mental disorders and diabetes has unfavorable influences on metabolic control and micro- and macroangiopathic complications. Improvement of therapeutic outcome is a challenge in the modern health care system. The intentions behind this position paper are to rise awareness of this special set of problems, to intensify cooperation between involved health care providers and to reduce incidence of diabetes mellitus as well as morbidity and mortality from diabetes in this patient group.

Weight changes in people with early psychosis treated with oral or long-acting injectable aripiprazole

OBJECTIVES

Weight gain remains a major problem in young people with psychosis treated with antipsychotic medication. Aripiprazole is now available in monthly long-acting injection (LAI) and daily oral tablet formulation, but information is lacking about differences in weight gain between the two formulations. We monitored for up to 24 months the weight changes associated with oral or LAI-administered aripiprazole and in a group who not prescribed any antipsychotic medication.

METHODS

Participants included 109 young people with early psychosis (n = 30 Oral, 41 LAI, 38 Nil antipsychotic) with a treatment completion median time of 15 months. Weight (kilogram) and body mass index (BMI) were recorded at 3 monthly intervals. Multilevel modelling analyses assessed the contribution of time and group on weight change.

RESULTS

Participants taking nil antipsychotics did not gain weight over time, while the two aripiprazole groups gained a combined average of 7.1 kg (SD = 5.0) or 1.9 BMI (SD = 0.4). An examination of formulation effects showed a significantly greater rate of change over time in the Oral group with a weight increase of approximately 11.0 kg (SD = 8.2) or 3.5 BMI (SD = 0.7, compared to the LAI group with a gain of 3.7 kg (SD = 2.1) or 0.8 BMI (SD = 0.1) in the LAI group. These differences could not be explained by demographic or clinical characteristics, medication dosage, or baseline weight.

CONCLUSIONS

While aripiprazole is generally considered relatively benign in terms of weight, it still poses a significant risk especially for people with early psychosis. However the current study suggests that the risk may be lower in those treated with LAI than with Oral formulation, consolidating the clinical utility of LAI.

Metabolic trajectories in childhood and adolescence: Effects on risk for schizophrenia

Abnormal glucose and lipid metabolism is common in antipsychotic-naive first-episode patients with schizophrenia, but it is unclear whether these changes can already be seen in premorbid or prodromal period, before the first psychotic episode. We examined insulin, total cholesterol, low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, and triglyceride trajectories in children and adolescents (9-18 years old), who were later diagnosed with schizophrenia, any non-affective psychosis (NAP) or affective disorder (AD). The study population consisted of a general population-based cohort "The Cardiovascular Risk in Young Finns Study", started in 1980 (n = 3596). Psychiatric diagnoses were derived from the Health Care Register up to the year 2018. Multivariate statistical analysis indicated no significant differences in insulin or lipid levels in children and adolescents who later developed schizophrenia (n = 41) compared to the cohort control group (n = 3202). In addition, no changes in these parameters were seen in the NAP (n = 74) or AD (n = 156) groups compared to the controls, but lower triglyceride levels in childhood/adolescence associated with earlier diagnosis of psychotic disorder in the NAP group. Taken together, our results do not support any gross-level insulin or lipid changes during childhood and adolescence in individuals with later diagnosis of schizophrenia-spectrum disorder. Since changes in glucose and lipid metabolism can be observed in neuroleptic-naive patients with schizophrenia, we hypothesize that the more marked metabolic changes develop during the prodrome closer to the onset of the first psychotic episode. The findings have relevance for studies on developmental hypotheses of schizophrenia.

26-Week Open-Label Extension Study Evaluating the Safety and Tolerability of Flexible Doses of Oral Ziprasidone in Children and Adolescents with Bipolar I Disorder (Most Recent Episode Manic)

Objective: To describe the longer-term effectiveness, safety, and tolerability of open-label ziprasidone in children and adolescents with bipolar I disorder (BD-I). Methods: A subset of 23 participants aged 10-17 years, who were previously treated in a multi-site, 4-week randomized controlled trial received open-label ziprasidone (20-80 mg twice a day) for up to 26 weeks. Results: The most common adverse events (AEs) were fatigue (30%), somnolence (17%), and nausea (13%). Effects on weight, body mass index, and metabolic parameters (glucose, cholesterol, and triglycerides) were minimal. No participant had a Fridericia-corrected QT interval ≥ 460 msec or a change from baseline of ≥60 msec, and there were no cardiac-related AEs. Both the participants who continued ziprasidone and those who initiated ziprasidone in the open-label extension showed improvements in their symptoms of mania. Conclusions: The overall findings of the study are consistent with the accumulating knowledge on the safety profile of ziprasidone in the acute and long-term treatment of children and adolescents with BD-I, in the midst of a manic episode. ClinicalTrial.gov ID: NCT03768726.

The development and validation of a medicines optimisation tool to protect the physical health of people with severe mental illness (OPTIMISE)

BACKGROUND

The life expectancy of people with severe mental illness (SMI) is shorter than those without SMI, with multimorbidity and poorer physical health contributing to health inequality. Screening tools could potentially assist the optimisation of medicines to protect the physical health of people with SMI. The aim of our research was to design and validate a medicines optimisation tool (OPTIMISE) to help clinicians to optimise physical health in people with SMI.

METHODS

A review of existing published guidelines, PubMed and Medline was carried out. Literature was examined for medicines optimisation recommendations and also for reference to the management of physical illness in people with mental illness. Potential indicators were grouped according to physiological system. A multidisciplinary team with expertise in mental health and the development of screening tools agreed that 83 indicators should be included in the first draft of OPTIMISE. The Delphi consensus technique was used to develop and validate the contents. A 17-member multidisciplinary panel of experts from the UK and Ireland completed 2 rounds of Delphi consensus, rating their level of agreement to 83 prescribing indicators using a 5-point Likert scale. Indicators were accepted for inclusion in the OPTIMISE tool after achieving a median score of 1 or 2, where 1 indicated strongly agree and 2 indicated agree, and 75^th centile value of ≤ 2. Interrater reliability was assessed among 4 clinicians across 20 datasets and the chance corrected level of agreement (kappa) was calculated. The kappa statistic was interpreted as poor if 0.2 or less, fair if 0.21-0.4, moderate if 0.41-0.6, substantial if 0.61-0.8, and good if 0.81-1.0.

RESULTS

Consensus was achieved after 2 rounds of Delphi for 62 prescribing indicators where 53 indicators were accepted after round 1 and a further 9 indicators were accepted after round 2. Interrater reliability of OPTIMISE between physicians and pharmacists indicated a substantial level of agreement with a kappa statistic of 0.75.

CONCLUSIONS

OPTIMISE is a 62 indicator medicines optimisation tool designed to assist decision making in those treating adults with SMI. It was developed using a Delphi consensus methodology and interrater reliability is substantial. OPTIMISE has the potential to improve medicines optimisation by ensuring preventative medicines are considered when clinically indicated. Further research involving the implementation of OPTIMISE is required to demonstrate its true benefit.

TRIAL REGISTRATION

This article does not report the results of a health care intervention on human participants.

Obesity II: Establishing causal links between chemical exposures and obesity

Obesity is a multifactorial disease with both genetic and environmental components. The prevailing view is that obesity results from an imbalance between energy intake and expenditure caused by overeating and insufficient exercise. We describe another environmental element that can alter the balance between energy intake and energy expenditure: obesogens. Obesogens are a subset of environmental chemicals that act as endocrine disruptors affecting metabolic endpoints. The obesogen hypothesis posits that exposure to endocrine disruptors and other chemicals can alter the development and function of the adipose tissue, liver, pancreas, gastrointestinal tract, and brain, thus changing the set point for control of metabolism. Obesogens can determine how much food is needed to maintain homeostasis and thereby increase the susceptibility to obesity. The most sensitive time for obesogen action is in utero and early childhood, in part via epigenetic programming that can be transmitted to future generations. This review explores the evidence supporting the obesogen hypothesis and highlights knowledge gaps that have prevented widespread acceptance as a contributor to the obesity pandemic. Critically, the obesogen hypothesis changes the narrative from curing obesity to preventing obesity.

Antipsychotic Medications for Low-Income Preschoolers: Long Duration and Psychotropic Medication Polypharmacy

OBJECTIVE

This study aimed to evaluate prescribing patterns of antipsychotic medication and factors that predict duration of use among low-income, preschool-age children.

METHODS

State Medicaid claims from 2012 to 2017 were used to identify antipsychotic medication use for children <6 years old. ICD-9 and ICD-10 codes were used to describe child diagnoses. Descriptive and multivariable analyses were used to determine patterns of antipsychotic medication use and factors that predicted duration of use.

RESULTS

In 2012, 316 children <6 years of age started an antipsychotic medication in a southeastern state. Most were non-Hispanic White (N=202, 64%) and boys (N=231, 73%). Diagnoses included attention-deficit hyperactivity disorder (N=288, 91%), neurodevelopmental disorders (N=208, 66%), anxiety and trauma-related diagnoses (N=202, 64%), and autism spectrum disorders (ASDs) (N=137, 43%). The mean±SD duration of exposure to antipsychotic medication for children in the cohort was 2.6±1.7 years, but 86 children (27%) had >4 years of exposure. Almost one-third (N=97, 31%) received polypharmacy of four or more medication classes, and 42% (N=131) received metabolic screening. Being male, being in foster care, and having a diagnosis of ASD or disruptive mood dysregulation disorder were significantly associated with duration of use of antipsychotic medications; race-ethnicity was not significantly associated with duration of use. Emergency department visits (N=277, 88%) and inpatient hospitalizations (N=107, 34%) were observed during the study period.

CONCLUSIONS

Many preschoolers received antipsychotic medications for substantial periods. Further research is needed to identify evidence-based practices to reduce medication use and improve outcomes.

Understanding the Role of the Gut Microbiome in Brain Development and Its Association With Neurodevelopmental Psychiatric Disorders

The gut microbiome has a tremendous influence on human physiology, including the nervous system. During fetal development, the initial colonization of the microbiome coincides with the development of the nervous system in a timely, coordinated manner. Emerging studies suggest an active involvement of the microbiome and its metabolic by-products in regulating early brain development. However, any disruption during this early developmental process can negatively impact brain functionality, leading to a range of neurodevelopment and neuropsychiatric disorders (NPD). In this review, we summarize recent evidence as to how the gut microbiome can influence the process of early human brain development and its association with major neurodevelopmental psychiatric disorders such as autism spectrum disorders, attention-deficit hyperactivity disorder, and schizophrenia. Further, we discuss how gut microbiome alterations can also play a role in inducing drug resistance in the affected individuals. We propose a model that establishes a direct link of microbiome dysbiosis with the exacerbated inflammatory state, leading to functional brain deficits associated with NPD. Based on the existing research, we discuss a framework whereby early diet intervention can boost mental wellness in the affected subjects and call for further research for a better understanding of mechanisms that govern the gut-brain axis may lead to novel approaches to the study of the pathophysiology and treatment of neuropsychiatric disorders.

Low Rates of Clinician Monitoring for Second Generation Antipsychotic Medications in Community Pediatric Practice

Second generation antipsychotic (SGA) medications are frequently prescribed to pediatric patients in the United States. This retrospective observational study sought to ascertain the extent of adherence to established pediatric SGA monitoring guidelines in community practice. The team used the electronic health record to determine clinician adherence to SGA monitoring guidelines at baseline, 12-week, and annual times relative to prescribing an SGA. At the time of their SGA prescription, 5.5% of pediatric patients had received all of the orders according to the monitoring guidelines. Annually, 2.5% of patients had received the necessary orders to completely adhere to monitoring guidelines; 42% of patients received no monitoring orders. Monitoring was more likely for children who had multiple types of providers and interacted with the healthcare system beyond a traditional office visit. This research informs healthcare providers about the gap between prescribing and monitoring for SGA medications in community practice for pediatric populations.

Use of Linked Databases for Improved Confounding Control: Considerations for Potential Selection Bias

Pharmacoepidemiologic studies are increasingly conducted within linked databases, often to obtain richer confounder data. However, the potential for selection bias is frequently overlooked when linked data is available only for a subset of patients. We highlight the importance of accounting for potential selection bias by evaluating the association between antipsychotics and type 2 diabetes in youths within a claims database linked to a smaller laboratory database. We used inverse probability of treatment weights (IPTW) to control for confounding. In analyses restricted to the linked cohorts, we applied inverse probability of selection weights (IPSW) to create a population representative of the full cohort. We used pooled logistic regression weighted by IPTW only or IPTW and IPSW to estimate treatment effects. Metabolic conditions were more prevalent in linked cohorts compared with the full cohort. Within the full cohort, the confounding-adjusted hazard ratio was 2.26 (95% CI: 2.07, 2.49) comparing initiation of antipsychotics with initiation of control medications. Within the linked cohorts, a different magnitude of association was obtained without adjustment for selection, whereas applying IPSW resulted in point estimates similar to the full cohort's (e.g., an adjusted hazard ratio of 1.63 became 2.12). Linked database studies may generate biased estimates without proper adjustment for potential selection bias.

Short-term Efficacy and Safety of Lurasidone Versus Placebo in Antipsychotic-Naïve vs. Previously Treated Adolescents with an Acute Exacerbation of Schizophrenia

Background

To evaluate the efficacy of short-term lurasidone in antipsychotic treatment-naïve (TN) adolescents with schizophrenia versus those treated previously (TP) with antipsychotics.

Methods

Patients aged 13–17 with schizophrenia, and a Positive and Negative Symptom Scale (PANSS) score ≥ 70 and < 120, were randomized to 6 weeks of double-blind treatment with lurasidone (40 or 80 mg/day) or placebo. In a post-hoc, pooled-dose analysis, efficacy was evaluated for TN (criteria: never received antipsychotic treatment) versus TP at the time of the study. Treatment response criteria: ≥20% reduction in PANSS total score.

Results

Altogether, 57 TN and 269 TP patients enrolled in the 6-week DB study. Mean endpoint change in PANSS total score was significantly greater for lurasidone versus placebo in both the TN group (−25.0 vs. -14.4; p < 0.02; effect size = 0.75), and in the TP group (−17.3 vs. -10.0; p < 0.001; effect size = 0.45); and responder rates were higher for lurasidone versus placebo in both the TN group 84.6% versus 38.9%; number needed to treat [NNT] = 3 and in the TP group (60% vs. 42%; NNT = 6). Rates of treatment-emergent adverse events, and mean changes in body weight and metabolic parameters were similar for the TN and TP groups.

Conclusions

In a 6-week, placebo-controlled trial, lurasidone demonstrated significant efficacy in adolescents with schizophrenia regardless of previous antipsychotic therapy status; however, the effect size was notably larger in the TN patient group. In both the TN and TP groups, minimal effects were noted on weight, metabolic parameters, or prolactin.

[Therapeutic drug monitoring to optimize psychopharmacotherapy in children and adolescents - Update and guidelines for practice]

Therapeutic drug monitoring to optimize psychopharmacotherapy in children and adolescents - Update and guidelines for practice Abstract. Despite the improved evidence base, many uncertainties remain in child and adolescent psychiatric pharmacotherapy about the efficacy and tolerability of drugs, which are often prescribed off-label or in combination therapy in this age group. Because medium- to long-term use is unavoidable in many cases, clinicians should minimize adverse drug reactions as far as possible and tailor an effective dosage to the individual characteristics of the patient. Not only are children and adolescents particularly vulnerable to certain adverse drug effects, they are also exposed to iatrogenic risks from dosing or application errors, which can lead to under- or overdosing with correspondingly negative effects on the success of the therapy. In addition to determining a strict indication, it is therefore essential to establish precise dosage and systematic monitoring of the safety of the psychopharmacotherapy. This article introduces therapeutic drug monitoring as a useful clinical tool and describes how its correct application in practice can improve the efficacy as well as the safety and tolerability of psychotropic therapy in children and adolescents for the immediate benefit of patients. Keywords: Psychopharmacotherapy, adverse drug reactions, pharmacovigilance, therapeutic drug monitoring, quality assurance.

Serious Adverse Drug Reactions in Children and Adolescents Treated On- and Off-Label with Antidepressants and Antipsychotics in Clinical Practice

INTRODUCTION

Despite the growing evidence base for psychotropic drug treatment in pediatric patients, knowledge about the benefit-risk ratio in clinical practice remains limited. The 'Therapeutic Drug Monitoring (TDM)-VIGIL' study aimed to evaluate serious adverse drug reactions (ADRs) in children and adolescents treated with antidepressants and/or antipsychotics in approved ('on-label'), and off-label use in clinical practice.

METHODS

Psychiatric pediatric patients aged 6-18 years treated with antidepressants and/or antipsychotics either on-label or off-label were prospectively followed between October 2014 and December 2018 within a multicenter trial. Follow-up included standardized assessments of response, serious ADRs and therapeutic drug monitoring.

RESULTS

710 youth (age=14.6±2.2 years, female=66.6%) were observed for 5.5 months on average; 76.3% received antidepressants, 47.5% antipsychotics, and 25.2% both. Altogether, 55.2% of the treatment episodes with antidepressants and 80.7% with antipsychotics were off-label. Serious ADRs occurred in 8.3% (95%CI=6.4-10.6%) of patients, mainly being psychiatric adverse reactions (77.4%), predominantly suicidal ideation and behavior. The risk of serious ADRs was not significantly different between patients using psychotropics off-label and on-label (antidepressants: 8.1% vs. 11.3%, p=0.16; antipsychotics: 8.7% vs 7.5%, p=0.67). Serious ADRs occurred in 16.6% of patients who were suicidal at enrollment versus 5.6% of patients who were not suicidal (relative risk 3.0, 95%CI=1.9-4.9).

CONCLUSION

Off-label use of antidepressants and antipsychotics in youth was not a risk factor for the occurrence of serious ADRs in a closely monitored clinical setting. Results from large naturalistic trials like ours can contribute to bridging the gap between knowledge from randomized controlled trials and real-world clinical settings.

Monitoring of Adverse Drug Reaction-Related Parameters in Children, Youth, and Young Adults Prescribed Antipsychotic Drugs by General Practitioners

Objective: The aim of the study was to assess monitoring of adverse drug reaction (ADR)-related parameters in children, youth, and young adults treated with second-generation antipsychotic drugs (SGAs) prescribed by general practitioners (GPs). Methods: This retrospective follow-up study included children, youth, and young adults aged 0 - 24 years, who had an initial prescription of an SGA recorded in the Clinical Practice Research Datalink between 2000 and 2017, and who were prescribed an SGA more than once for a duration of at least 6 months. It included an assessment of which ADR-related physical parameters (weight, height, body-mass index, waist circumference, pulse, blood pressure, and heart examination) and laboratory parameters (glucose, HbA1c, lipids, and prolactin) were monitored in children, youth, and young adults at least once every 6-month period, stratified by sex, age categories, and calendar years. Results: In total, 7006 patients were included and the mean duration of follow-up was 1.6 years. Monitoring frequencies of all parameters were below 25%. Blood pressure and weight were monitored in 23.6% and 23.4%, respectively, of all children, youth, and young adults during the first half year; waist circumference was monitored in 0.2%. Females were monitored more often than males, some differences between age categories were observed, and monitoring frequencies increased after 2000, but did not exceed 35% in any year. Conclusion: Monitoring frequencies of ADR-related parameters in children, youth, and young adults treated with SGAs prescribed by a GP were low. Monitoring in primary care should be improved to enable a better evaluation of the benefit-risk balance during antipsychotic drug therapy.

Safety and effectiveness of lurasidone in adolescents with schizophrenia: results of a 2-year, open-label extension study

BACKGROUND

Minimal long-term benefit: Risk data are available regarding antipsychotic treatments for schizophrenia in pediatric populations. This study evaluated the long-term safety, tolerability, and effectiveness of lurasidone in adolescents with schizophrenia.

METHODS

Patients aged from 13 to 17 who completed 6 weeks of double-blind (DB), placebo-controlled treatment with lurasidone were enrolled in a 2-year, open-label (OL), flexible dose (20-80 mg/day) lurasidone treatment study. Safety was assessed via spontaneous reporting, rating scales, body weight measurement, metabolic, and prolactin testing. Effectiveness measures included the Positive and Negative Syndrome Scale (PANSS) total score.

RESULTS

About 271 patients completed 6 weeks of DB treatment and entered the 2-year OL extension study. Altogether, 42.4% discontinued prematurely, 10.7% due to adverse events. During OL treatment, the most common adverse events were headache (24.0%); anxiety (12.9%), schizophrenia, and nausea (12.5%); sedation/somnolence (12.2%); and nasopharyngitis (8.9%). Minimal changes were observed on metabolic parameters and prolactin. Mean change from DB baseline in weight at week 52 and week 104 was +3.3 kg and + 4.9 kg, respectively, compared to an expected weight gain of +3.4 kg and + 5.7 kg, respectively, based on the sex- and age-matched US Center for Disease Control normative data. Continued improvement was observed in PANSS total score, with mean change from OL baseline of -15.6 at week 52 and -18.4 at week 104.

CONCLUSION

In adolescents with schizophrenia, long-term lurasidone treatment was associated with minimal effects on body weight, lipids, glycemic indices, and prolactin. Continued improvement in symptoms of schizophrenia was observed over 2 years of lurasidone treatment.

Risk of Obesity Among Children Prescribed Atypical Antipsychotics for Six Months or More

Objectives: The study investigates the risk of obesity for young children prescribed an atypical antipsychotic (AAP) for 6 months or more. AAPs are associated with risk of obesity. They are used in children for a variety of psychiatric conditions and are often prescribed off-label. Long-term risk of obesity in this age group is unknown as most studies are short-term investigations and generally combine younger children with adolescents and adults. Methods: A retrospective cohort of children, 10 years old or younger, prescribed either an AAP or selective serotonin reuptake inhibitor (SSRI) for 6 months or more were followed for up to 9.5 years. The primary endpoint was the body-mass index (BMI) reaching the 95th percentile. Results: One thousand six hundred fifty-five patients met inclusion criteria. One thousand one hundred eighteen patients were prescribed an AAP and 537 were prescribed an SSRI: 1152 (74.5%) patients were male and mean (standard deviation) age was 7.9 [1.90] years at study entry. Median follow-up was 3.58 years for the AAP cohort and 3.28 years for the SSRI cohort (p = 0.02). After adjusting for baseline demographic variables, BMI, and other concomitantly prescribed medications, children prescribed AAPs for 6 months or longer were twice as likely to become obese compared with children prescribed SSRIs (adjusted hazard ratio [HR] 2.06 [95% confidence interval; CI 1.60-2.66], p < 0.0001). Further stratification by AAP revealed that the obesity risk for patients prescribed aripiprazole was 34% greater than for those prescribed risperidone (adjusted HR 1.34 [95% CI 1.01-1.78], p = 0.0033). Conclusions: The risk of obesity for young children prescribed an AAP for 6 months or more is approximately double that of children prescribed an SSRI. The risk of obesity is greater with aripiprazole than risperidone in the first year. Prescribers should consider the risk of obesity when prescribing AAPs and consider alternative treatment modalities in this vulnerable patient population.

Aripiprazole in young people with early psychosis: a systematic review and meta-analysis of weight gain

OBJECTIVE

Aripiprazole is often prescribed to young people, although there remain unanswered questions about its effects on weight gain. This study undertook a meta-analysis of weight gain occurring in young people with early psychosis who were prescribed aripiprazole.

METHOD

A systematic search was conducted for studies reporting on aripiprazole and weight change in young people with a psychotic disorder. A meta-analysis integrated the data into an estimate of effect size.

RESULTS

Eleven studies met the inclusion criteria amounting to 886 participants (mean age 18 years). The results showed significant weight gain averaging 2.7 kg. These increases were associated with a longer duration of exposure to aripiprazole but not a higher dosage.

CONCLUSIONS

The results highlight the importance of regular patient monitoring and the early implementation of interventions to manage antipsychotic-related weight gain.

Systematic Review and Network Meta-analysis: Efficacy and Safety of Second-Generation Antipsychotics in Youths With Bipolar Depression

OBJECTIVE

To assess the relative efficacy and safety of second-generation antipsychotics for treating major depressive episodes in youths with bipolar disorder.

METHOD

A systematic literature review using PRISMA guidelines and network meta-analysis (NMA) of randomized controlled trials (RCTs) of second-generation antipsychotics for bipolar depression in youths 10 to 18 years of age was conducted. Efficacy measures included Children's Depression Rating Scale, Revised (CDRS-R) and Clinical Global Impressions-Bipolar Disorder-Severity Depression (CGI-BP-S-depression) and Overall (CGI-BP-S-overall) scores. Available safety outcomes included discontinuations (all-cause, lack of efficacy, adverse events), metabolic parameters (weight change, cholesterol, triglycerides, glucose), changes in prolactin, and somnolence. Results from the NMA were reported as mean changes from baseline or odds ratios (OR) with 95% credible intervals (CrIs).

RESULTS

Four RCTs comparing placebo to lurasidone, quetiapine (1 each for immediate- and extended-release), and the olanzapine-fluoxetine combination (OFC) met all of the inclusion criteria. Lurasidone and OFC demonstrated similar and statistically significant improvements in CDRS-R, but quetiapine did not (lurasidone: -5.70 [-8.66, -2.76]; OFC: -5.01 [-8.63, -1.38]; quetiapine: -1.85 [-5.99, 2.27]). Lurasidone was associated with smaller changes in weight, cholesterol, and triglycerides from baseline compared to OFC and quetiapine. There were no differences in changes in glucose levels among antipsychotics. In addition, lurasidone was associated with smaller change in prolactin levels compared to OFC but not quetiapine.

CONCLUSION

Evidence from 4 studies in this NMA indicated that lurasidone and OFC, but not quetiapine, were efficacious for the treatment of bipolar depression in youths. Lurasidone was associated with less weight gain and smaller impacts on cholesterol and triglycerides compared with quetiapine and OFC.

Long-term safety and effectiveness of open-label lurasidone in antipsychotic-Naïve versus previously treated adolescents with Schizophrenia: A post-hoc analysis

BACKGROUND

There is a relative lack of long-term, prospective data evaluating the safety and effectiveness of treatment in early-onset adolescent patients with schizophrenia who are treatment-naïve. The aim of this post-hoc analysis was to examine the long-term safety and effectiveness of lurasidone in adolescents with schizophrenia who were antipsychotic treatment-naïve (TN; at the time of enrolment in the initial study) compared to adolescents treated previously (TP) with an antipsychotic.

METHODS

Patients aged 13-17 who completed 6 weeks of double-blind (DB), placebo-controlled treatment with lurasidone were enrolled in a 2-year, open-label (OL), flexible-dose (20-80 mg/day) lurasidone study.

RESULTS

The long-term analysis sample consisted of 50 TN and 221 TP patients, of whom 40% and 43%, respectively, discontinued prematurely. The three most common adverse events for TN and TP patients, respectively, were headache (26.0%, 23.5%); schizophrenia (14.0%, 12.2%), dizziness (16.0%, 4.1%), and nausea (16.0%, 11.8%). At endpoint, mean increase in weight was similar to expected weight gain based on growth charts for both TN (+4.5 kg vs. + 5.7 kg) and TP (+4.6 kg vs. + 6.6 kg) patients. Minimal changes were observed for each group in metabolic parameters and prolactin. Mean improvement was consistently greater in the TN vs. TP group (-19.2 vs. -15.9; effect size of 0.33) for between-group change in PANSS total score at Week 104.

CONCLUSIONS

In both TN and TP adolescents with schizophrenia, long-term treatment with lurasidone was associated with minimal effects on body weight, lipids, glycemic indices, and prolactin, with generally small differences noted in rates of reported AEs. Continued improvement in symptoms of schizophrenia was evident for both the TN and TP groups. These data indicate that lurasidone is a safe and efficacious treatment option for treatment-naïve youth with schizophrenia, who are generally most sensitive to antipsychotic adverse effects.

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

Antipsychotics increase weight, BMI and waist size, particularly in pediatric patients. Switching antipsychotics is common practice, thus defining the risk for each antipsychotic in real-life settings can be important for clinical guidance. We conducted a meta-analysis on antipsychotic-related changes in body measures in pediatric observational studies. Of 934 publications found on PubMed, we analyzed 38, including nine treatment arms: no treatment, mixed antipsychotic treatment, first-generation antipsychotics, aripiprazole, clozapine, olanzapine, quetiapine, risperidone and ziprasidone. Changes in weight, BMI, BMI-Z and waist size were meta-analyzed according to the duration of clinical observations: 6, 12, > 12 months. Meta-regressions probed influencing factors. Weight in Kg was increased at 6, 12, > 12 months by olanzapine [+ 10.91, + 10.7, data not available (n/a)], mixed antipsychotic treatment (n/a, + 9.42, + 12.59), quetiapine (+ 5.84, n/a, n/a) and risperidone (+ 4.47, + 6.01, + 9.51) and without treatment (n/a, + 2.3, n/a). BMI was increased at 6, 12, > 12 months by olanzapine (+ 3.47, + 3.42, n/a), clozapine (n/a, + 3, n/a) mixed antipsychotic treatment (+ 3.37, + 2.95, + 3.32), risperidone (+ 2, + 2.13, + 2.16), quetiapine (+ 1.5, + 1.82, n/a), aripiprazole (n/a, + 1.7, + 2.1) and without treatment (n/a, + 0.75, n/a). BMI-Z was increased at 6, 12, > 12 months by olanzapine (+ 0.94, + 0.98, + 0.89), clozapine (n/a, + 0.8, n/a), risperidone (+ 0.62, + 0.61, + 0.48), quetiapine (+ 0.57, + 0.54, n/a), mixed antipsychotic treatment (+ 0.51, + 0.94, + 0.44), without treatment (n/a, + 0.37, n/a) and aripiprazole (no gain, + 0.31, n/a). Waist size in cm was increased at 6, 12 months by risperidone (+ 8.8, + 11.5), mixed antipsychotics treatment (+ 9.1, + 10.2) and quetiapine (+ 6.9, + 9.1). Overall, olanzapine and clozapine displayed maximum risk, followed by risperidone, quetiapine and aripiprazole (more risky at longer terms); ziprasidone was associated with no gains. No time-based trends emerged, suggesting a drug-specific risk magnitude. Meta-regressions evidenced variable roles for persistence in therapy and follow-up length, increased risk for drug-naïve patients, and a ceiling effect determined by higher baseline BMI/BMI-Z values.

Biological Mechanism(s) Underpinning the Association between Antipsychotic Drugs and Weight Gain

Weight gain and consequent metabolic alterations are common side-effects of many antipsychotic drugs. Interestingly, several studies have suggested that improvement in symptoms and adverse metabolic effects are correlated. We used next generation sequencing data from NT-2 (human neuronal) cells treated with aripiprazole, amisulpride, risperidone, quetiapine, clozapine, or vehicle control, and compared with the Pillinger P-score (ranked from 0 to 1, indicating greater increase in weight gain and related metabolic parameters) to identify the genes most associated with the drugs' propensity to cause weight gain. The top 500 genes ranked for their correlation with the drugs' propensity to cause weight gain were subjected to pathway analysis using DAVID (NIH). We further investigated transcription factors (TFs) that are more likely to regulate the genes involved in these processes using the prediction tool of key TFs from TRRUST. The results suggest an enrichment for genes involved in lipid biosynthesis and metabolism, which are of interest for mechanisms underpinning weight-gain. The list of genes involved in the lipid pathways that correlated with weight gain was enriched for genes transcriptionally regulated by SREBF1 and SREBF2. Furthermore, quetiapine significantly increased the expression of SREBF1 and SREBF2 in NT-2 cells. Our results suggest that the effects of these antipsychotic drugs on lipid metabolism may be mediated, at least in part, via regulation of SREBF1/SREBF2 expression, with evidence of a direct effect of quetiapine on the expression of SREBF1/2. The effects of antipsychotic drugs on lipid metabolism may influence white matter structure (therapeutic effect) and the risk of weight gain, lipid disturbances, and, consequently, metabolic syndrome (adverse effects). Understanding the different molecular effects of these drugs could inform a personalized medicine approach in treating patients with schizophrenia.

Practitioner's review: medication for children and adolescents with autism spectrum disorder (ASD) and comorbid conditions

Alleviating the multiple problems of children with autism spectrum disorder (ASD) and its comorbid conditions presents major challenges for the affected children, parents, and therapists. Because of a complex psychopathology, structured therapy and parent training are not always sufficient, especially for those patients with intellectual disability (ID) and multiple comorbidities. Moreover, structured therapy is not available for a large number of patients, and pharmacological support is often needed, especially in those children with additional attention deficit/hyperactivity and oppositional defiant, conduct, and sleep disorders.

Chemogenetics: drug-controlled gene therapies for neural circuit disorders

Many patients with nervous system disorders have considerable unmet clinical needs or suffer debilitating drug side effects. A major limitation of exiting treatment approaches is that traditional small molecule pharmacotherapy lacks sufficient specificity to effectively treat many neurological diseases. Chemogenetics is a new gene therapy technology that targets an engineered receptor to cell types involved in nervous system dysfunction, enabling highly selective drug-controlled neuromodulation. Here, we discuss chemogenetic platforms and considerations for their potential application as human nervous system therapies.

Dosing antipsychotics in special populations of patients with schizophrenia: severe psychotic agitation, first psychotic episode and elderly patients

Antipsychotic (AP) dosing is well established in nonelderly patients with acute exacerbations of schizophrenia, but not in special populations.This review describes the AP dosing procedures that have been used in clinical studies for acute psychotic agitation, a first episode of psychosis (FEP), and elderly patients. AP dosing data was extracted from the databases of drug regulatory authorities, and from clinical studies available in the medical literature. In acute psychotic agitation, intramuscular and oral APs are frequently prescribed in higher doses than those that saturate D2 receptors. Supersaturating doses of APs should be avoided due to an increased risk of adverse effects. In FEP, many studies showed efficacy of low doses of APs. Studies with risperidone and haloperidol suggested a dose reduction of approximately one third. Titration with a lower starting dose is recommended in elderly patients, due to possible decreases in pharmacokinetic clearance, and due to the risk of concomitant diseases and drug interactions. Exposure to some APs has been associated with QTc prolongation and arrhythmias, and a small but significant increase in the risk of stroke and mortality with APs has been seen, particularly in older people with dementia-related psychosis.