Systematic Review and Meta-analysis of Pharmacological Interventions for Weight Gain from Antipsychotics and Mood Stabilizers

A Double-Blind, Placebo-Controlled Study of Adjunctive Topiramate in Adolescents With Co-Occurring Bipolar and Cannabis Use Disorders

Objective

To evaluate the efficacy of adjunctive topiramate (TPM) for the treatment of cannabis use disorder in adolescents with bipolar I disorder.

Method

We conducted a 16-week, double-blind, randomized, placebo-controlled investigation of quetiapine plus TPM (median dose = 208 mg) vs quetiapine plus placebo in adolescents with bipolar I and cannabis use disorder. All subjects participated in a Motivational Interview and Compliance Enhancement Therapy. The primary outcome measure was change in weekly cannabis use over a 16-week treatment period using the Timeline Followback. The secondary outcome measure was the baseline-to-endpoint total score change in the Young Mania Rating Scale (YMRS).

Results

A total of 75 participants completed at least 1 post-baseline assessment (TPM = 38, placebo = 37). There was a significant time-by-treatment effect over the 16-week treatment period, with baseline-adjusted treatment differences in favor of the TPM group over time (p < .001). Although there was no difference in baseline-to-endpoint YMRS total score change between groups (p = .342), there was as significant decline in YMRS total score within both groups (p < .0001). There was a significant positive effect for alcohol use (p < .001) and nicotine use (p = .033) in the TPM group. More participants in the TPM group experienced appetite decrease (p = .032) and excitement (p = .025). Participants in the placebo group experienced greater weight gain (p = .010).

Conclusion

Treatment with TPM adjunctive to quetiapine and a Motivational Interview and Compliance Enhancement Therapy is associated with a greater decrease in cannabis use and less weight gain. TPM is a well-tolerated and efficacious treatment for cannabis use disorder in adolescents with bipolar I disorder.

Clinical trial registration information

Efficacy Study of Quetiapine Plus Topiramate for Reducing Cannabis Consumption and Bipolar Mania; https://clinicaltrials.gov/; NCT00393978.

Diversity & Inclusion Statement

We worked to ensure sex and gender balance in the recruitment of human participants. We worked to ensure race, ethnic, and/or other types of diversity in the recruitment of human participants. We worked to ensure that the study questionnaires were prepared in an inclusive way. One or more of the authors of this paper self-identifies as a member of one or more historically underrepresented racial and/or ethnic groups in science.

Shared and unique characteristics of metabolic syndrome in psychotic disorders: a review

Introduction

People with psychosis spectrum disorders (PSD) face an elevated risk of metabolic syndrome (MetS), which may reduce their life expectancy by nearly 20%. Pinpointing the shared and specific characteristics and clinical implications of MetS in PSD is crucial for designing interventions to reduce this risk, but an up-to-date review on MetS across the psychosis spectrum is lacking.

Methods

This narrative review fills this gap by examining the clinical literature on characteristics and implications of MetS in both distinct PSD and transdiagnostically, i.e., across traditional categorical diagnoses, with a focus on psychiatric and cardio-metabolic management.

Results

We discuss common and specific characteristics of MetS in PSD, as well as factors contributing to MetS development in PSD patients, including unhealthy lifestyle factors, genetic predisposition, pro-inflammatory state, drugs consumption, antipsychotic medication, and psychotic symptoms. We highlight the importance of early identification and management of cardio-metabolic risk in PSD patients, as well as the existing gaps in the literature, for instance in the screening for MetS in younger PSD patients. We compare hypotheses-generating clinical associations and characteristics of MetS in different PSD, concluding by reviewing the existing recommendations and challenges in screening, monitoring, and managing MetS in PSD.

Conclusion

Early identification and management of MetS are crucial to mitigate the long-term cardio-metabolic toll in PSD patients. Interventions should focus on healthy lifestyle and appropriate pharmacological and behavioral interventions. Further translational and clinical research is needed to develop targeted interventions and personalized treatment approaches for this vulnerable population, aiming at improving physical health and overall well-being.

Management of Medication-Induced Weight Gain

Several medications can contribute to weight gain. Medication-induced weight gain can have severe health consequences leading to overweight or obesity, or exacerbation of preexisting obesity and the plethora of obesity-related comorbidities. Weight gain due to medications is potentially avoidable by prescribing medications that are either weight neutral or that lead to weight loss, when appropriate. This article reviews the common classes of medications that contribute to weight gain and discusses alternatives to consider.

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.

Effect of the GLP-1 receptor agonist semaglutide on metabolic disturbances in clozapine-treated or olanzapine-treated patients with a schizophrenia spectrum disorder: study protocol of a placebo-controlled, randomised clinical trial (SemaPsychiatry)

INTRODUCTION

Clozapine and olanzapine are some of the most effective antipsychotics, but both are associated with weight gain and relevant metabolic disturbances, including pre-diabetes and diabetes. Non-pharmacological/behavioural interventions have had limited effects counteracting these adverse effects. Semaglutide, a glucagon-like peptide 1 receptor agonist, is approved for the treatment of type 2 diabetes and obesity. We will investigate the long-term effects of add-on treatment with semaglutide once a week versus placebo once a week on the metabolic status in pre-diabetic (glycated haemoglobin A1c (HbA1c) 35-47 mmol/mol (5.4%-6.4%) and diabetic (HbA1c 48-57 mmol/mol (6.5%-7.4%)) patients diagnosed with a schizophrenia spectrum disorder who initiated clozapine or olanzapine treatment within the last 60 months.

METHODS AND ANALYSIS

This is a 26-week, double-blinded, randomised, placebo-controlled trial. Altogether, 104 patients diagnosed with a schizophrenia spectrum disorder, aged 18-65 years, with pre-diabetes or diabetes will be randomised to injections of 1.0 mg semaglutide once a week or placebo for 26 weeks. The primary endpoint is change from baseline in HbA1c. Secondary endpoints include changes in body weight, hip and waist circumference and plasma levels of insulin, glucagon, glucose, and C-peptide, insulin sensitivity, beta cell function, hepatic function, fibrosis-4 score, lipid profile, incretin hormones, bone markers, body composition, bone density, proteomic analyses and oxidative stress markers. Together with alcohol, tobacco and drug use, potential effects on the reward value of a sweet-fat stimulus, psychopathology, level of activity and quality of life will also be assessed.

ETHICS AND DISSEMINATION

This study is approved by the Danish Medicines Agency and the regional scientific ethics committee of the Capital Region of Denmark (committee C, #H-20019008) and will be carried out in accordance with International Council for Harmonisation Good Clinical Practice guidelines and the Helsinki Declaration. The results will be disseminated through peer-review publications and conference presentations.

TRIAL REGISTRATION NUMBER

NCT04892199.

Outcomes and safety of concomitant topiramate or metformin for antipsychotics-induced obesity: a randomized-controlled trial

BACKGROUND

Although there are some existing data describing the usage of topiramate in patients with antipsychotic-induced obesity, study on its comparison with metformin is limited. This study aimed to explore the effectiveness and safety of concomitant topiramate on antipsychotic-induced obesity as well as its comparison with metformin.

METHODS

62 stabilized outpatients with antipsychotic-induced obesity were randomized into the topiramate group and the metformin group with 16-week treatment. The patients' weight, body mass index (BMI), waist-hip ratio, and their side effects were assessed and compared. Intention-to-treat and completer analyses were performed. Meanwhile, covariance analysis was conducted to control the impact of the significant difference in BMI between the two groups.

RESULTS

The two groups had comparable characteristics, though their difference in baseline BMI was significant. (1) Intention-to-treat analyses: the random missing values were replaced using the last observation carried forward method when intention-to-treat analyses were conducted. Compared with the baseline, the weight, BMI, and waist-hip ratio in the topiramate group markedly decreased at each follow-up, whereas, in the metformin group, only waist-hip ratio significantly decreased at 4 weeks after treatment. Compared with the metformin, only weight and BMI in the topiramate group were significantly decreased at week 4 after treatment, and at week 8-16, weight, BMI and waist-hip ratio were remarkably declined. (2) Completer analyses: compared with the baseline, the weight, BMI, and waist-hip ratio in the topiramate group at week 4-16 were markedly decreased, whereas only waist-hip ratio with metformin was significantly decreased at week 4. Compared with the metformin, all BMI with topiramate were markedly decreased at week 4-16. Moreover, its weight and waist-hip ratio also were notably lowered at week 8. No significant differences in adverse events were found between the two groups.

CONCLUSIONS

Topiramate, similar to metformin in reducing obesity as previously reported, also significantly reduced body weight, BMI, and waist-hip ratio in patients with antipsychotic-induced obesity and demonstrated well tolerance in psychiatric patients. Trial registration The trial was registered at http://www.chictr.org.cn , and the number was ChiCTR-IPR-17013122.

The use of anti-obesity medications in people with mental illness as an adjunct to lifestyle interventions - Effectiveness, tolerability and impact on eating behaviours: A 52-week observational study

OBJECTIVE

The increasing prevalence of obesity and metabolic syndrome in people with mental illness (MI) is a global health priority. Anti-obesity medications (AOMs) may help with reducing medication induced hunger and weight gain when lifestyle changes are insufficient. Our aim is to evaluate the effectiveness, tolerability, impact on eating behaviours and psychiatric safety of AOMs in this population.

METHODS

We conducted an observational study of 244 adults with MI with at least two risk factors for metabolic syndrome attending an obesity management clinic. Participants received standardised diet, exercise and psychological care, in addition to AOMs tailored to each participant's circumstances. Baseline and 12-month assessments encompassing physical, metabolic and psychological parameters were compared.

RESULTS

Over the course of the study, the average weight loss was 11.79 kg (12.1%), decrease in BMI was 3.90 kg/m² and reduction in waist circumference was 12.6 cm. Participants with good glycaemic control increased from 28.6% to 80.7%, hypercholesterolaemia reduced from 85.2%-29.9% and hypertension rates reduced from 88.9%-52.0%. Depression, anxiety and stress levels for the sample decreased significantly (all p < .01). Eating behaviours improved (all p < .001) at follow-up. Psychiatric side effects including deterioration of mood (28.2%) and suicidality (30.8%) were primarily experienced by those on topiramate.

CONCLUSIONS

AOMs can be effective in achieving clinically meaningful weight loss, improved metabolic co-morbidities and eating behaviours in people living with MI, when combined with a comprehensive lifestyle program. The majority of AOMs are well tolerated but topiramate appears more likely to negatively impact mental health.

Medical Weight-Loss Outcomes in Patients Receiving Concomitant Psychotropic Medication: A Retrospective Cohort Study

OBJECTIVE

This study aimed to elucidate medical weight-loss outcomes in patients unexposed or exposed to psychotropic medication(s).

METHODS

This retrospective cohort study evaluated weight-loss outcomes of completers treated at an academic weight-management center between April 1, 2014, and April 1, 2016. Patients were classified as either unexposed (not prescribed psychotropic medication) or exposed (prescribed psychotropic medication) based on use of antidepressants, mood stabilizers, or antipsychotics during the study.

RESULTS

Of 1,932 patients seen during the study period, 885 were eligible for inclusion, of whom 619 (70.0%) were unexposed and 266 (30.0%) were exposed to psychotropic medications. In the unexposed and exposed groups, the mean age, sex distribution, proportion with type 2 diabetes, initial BMI, and number of weight-loss medications prescribed were similar. At 12 months, the unexposed group lost 1.6% more weight on average than the exposed group (9.1% [SD 7.6%] vs. 7.5% [SD 8.1%], respectively; P = 0.02); 71.0% and 41.2% of the unexposed group achieved ≥ 5% and ≥ 10% weight loss at 12 months, respectively, compared with 63.1% and 31.8% in the exposed group at 12 months (P = 0.04 at 5%; P = 0.02 at 10%).

CONCLUSIONS

Exposure to psychotropic medications was associated with diminished weight loss in patients with medically managed overweight and obesity.

Iatrogenic Obesity

Obesity has been identified as a multifactorial disease with several determinants, including genetic predisposition, environmental influences, dietary patterns, and physical activity factors. Iatrogenic obesity, most commonly medication-induced weight gain, is often overlooked as a contributing factor to a patient's obesity. This article highlights medications known to cause weight gain.

Collaborative Deprescribing in Borderline Personality Disorder: A Narrative Review

After participating in this activity, learners should be better able to:• Assess medication management in patients with borderline personality disorder (BPD)• Evaluate the role of deprescribing as an active intervention in patients with BPD treated with polypharmacy ABSTRACT: Psychopharmacology in borderline personality disorder (BPD) is complicated by comorbid disorders, substance use, sensitivity to side effects, risk of self-harm through medication misuse, and intense but transient symptoms. Patients' relationships with medications may range from tenuous to highly enmeshed, and may profoundly influence the response to treatment. For these reasons, awareness of current evidence and flexible approaches are particularly relevant to prescribing in BPD. In this narrative review, we illustrate the current status of medication management in BPD by focusing on polypharmacy. We use a single vignette to explore the limitations of prescribing multiple medications and the factors contributing to polypharmacy. With the same vignette, and using the framework of deprescribing, we describe how medication regimens can be reduced to a necessary minimum. Deprescribing, originally developed in geriatric medicine, is an active intervention that involves a risk-benefit analysis for each medication, keeping in mind the patient's medical and psychiatric status and his or her preferences and values. Deprescribing lends itself well to use in psychiatry and especially in BPD because of its emphasis on the patient's preferences and on repeated conversations to revisit and update decisions. In addition to elaborating on the deprescribing framework, we provide recommendations for conducting these critical discussions about medications in BPD, with particular attention to the patient's relationship to the medication. Finally, we summarize our recommendations and strategies for implementing flexible and responsive medication management for patients with BPD. We suggest areas of future research, including testing the efficacy of targeted intermittent medication treatments.

Adjunctive metformin for antipsychotic-induced dyslipidemia: a meta-analysis of randomized, double-blind, placebo-controlled trials

Antipsychotic-induced dyslipidemia could increase the risk of cardiovascular diseases. This is a meta-analysis of randomized double-blind placebo-controlled trials to examine the efficacy and safety of adjunctive metformin for dyslipidemia induced by antipsychotics in schizophrenia. The standardized mean differences (SMDs) and risk ratios (RRs) with their 95% confidence intervals (CIs) were calculated using the random-effects model with the RevMan 5.3 version software. The primary outcome was the change of serum lipid level. Twelve studies with 1215 schizophrenia patients (592 in metformin group and 623 in placebo group) were included and analyzed. Adjunctive metformin was significantly superior to placebo with regards to low density lipoprotein cholesterol (LDL-C) [SMD: -0.37 (95%CI:-0.69, -0.05), P = 0.02; I² = 78%], total cholesterol [SMD: -0.47 (95%CI:-0.66, -0.29), P < 0.00001; I² = 49%], triglyceride [SMD: -0.33 (95%CI:-0.45, -0.20), P < 0.00001; I² = 0%], and high density lipoprotein cholesterol [SMD: 0.29 (95%CI:0.02, 0.57), P = 0.03; I² = 69%]. The superiority of metformin in improving LDL-C level disappeared in a sensitivity analysis and 80% (8/10) of subgroup analyses. Metformin was significantly superior to placebo with regards to decrease in body weight, body mass index, glycated hemoglobin A1c, fasting insulin, and homeostasis model assessment-insulin resistance (P = 0.002-0.01), but not regarding changes in waist circumference, waist-to-hip rate, leptin, fasting glucose, and blood pressure (P = 0.07-0.33). The rates of discontinuation due to any reason [RR: 0.97 (95%CI: 0.66, 1.43), P = 0.89; I² = 0%] was similar between the two groups. Adjunctive metformin could be useful to improve total cholesterol and triglyceride levels, but it was not effective in improving LDL-C level in schizophrenia.

Bipolar Disorder and Obesity: Contributing Factors, Impact on Clinical Course, and the Role of Bariatric Surgery

PURPOSE OF REVIEW

Bipolar disorder (BD) is a severe, common, and chronic affective disorder. This review highlights the BD and obesity connection and the role of treatments for obesity in this population.

RECENT FINDINGS

Patients with BD are at a significantly increased risk for obesity, as compared to those without BD, with obesity serving as a proxy for severity and predictor of poorer outcome. BD is characterized by substantial medical burden, with obesity-related conditions contributing to premature mortality. Pharmacotherapy for BD can cause weight gain and may be moderated by binge eating behavior. Bariatric surgery may be the most robust intervention for weight loss in patients with stable BD, but access may be limited. There is a greater need for interventions to prevent weight gain in BD, the development weight-neutral medications for BD, and more research into the role of bariatric surgery for patients with BD.

Cardiometabolic effects of psychotropic medications

Background Many psychiatric disorders including schizophrenia, bipolar disorder and major depression convey an excess burden of cardiovascular morbidity and mortality. The medications used to treat these conditions may further adversely affect cardiovascular risk and exacerbate health disparities for vulnerable populations. There is a clinical need to appreciate the cardiometabolic adverse effects of psychotropic medications. Methods This paper reviews the most relevant cardiometabolic effects of psychotropic medications, organized around the components of metabolic syndrome. When known, the molecular and physiological mechanisms underlying any adverse cardiometabolic effects are detailed. Results Many commonly used psychotropic medications, particularly antipsychotics, mood stabilizers and some antidepressants, have been independently associated with cardiometabolic risk factors such as insulin resistance, obesity and dyslipidemia. Stimulants, antidepressants that inhibit reuptake of norepinephrine, some antipsychotics and valproic acid derivatives may also increase blood pressure. Conclusion Understanding, assessing and subsequently managing cardiometabolic complications of psychotropic medications are important to mitigate the excess cardiovascular morbidity and mortality in the clinical populations prescribed psychotropic medications. There is considerable variability in risk between medications and individuals. Timely management of iatrogenic cardiometabolic effects is critical.

The role of tryptophan metabolism and food craving in the relationship between obesity and bipolar disorder

BACKGROUND & AIMS

Individuals with bipolar disorder (BD) have a significantly increased risk of obesity-related conditions. The imbalance between food intake and energy expenditure is assumed to be a major risk factor for obesity in BD. This study analyzed food craving in relation to anthropometric, metabolic, and neurobiological parameters in a well-characterized cohort of euthymic individuals with BD.

METHODS

One-hundred-thirty-five patients completed the Food-Craving Inventory assessing four categories of food craving (fat, fast-food, sweets and carbohydrate craving). Additionally, clinical, metabolic and anthropometric parameters were assessed.

RESULTS

Higher levels of fat craving were observed in males, versus females, with BD. High levels of carbohydrate craving positively correlated with kynurenine and the kynurenine-to-tryptophan ratio. Higher serum nitrite and neopterin levels were related to fat craving. Parameters of fat metabolism (triglycerides, high-density lipoprotein) were associated with fat and fast-food craving. Anthropometric measures of obesity (e.g. body mass index, waist-to-hip-ratio) were not related to food craving.

CONCLUSIONS

Overweight/obese individuals with BD show an increased driving of tryptophan down the kynurenine pathways, as indicated by an increase in the serum kynurenine-to-tryptophan ratio. The driving of tryptophan down the kynurenine pathway is mediated by immune-inflammatory activity and stress. The correlation of increased kynurenine with food craving, especially carbohydrate craving, probably indicates a regulatory deficit in the maintenance of chronic inflammatory processes in obesity and BD. Food craving seems to be of clinical importance in the treatment of metabolic disturbances in BD, although not associated with anthropometric measures of obesity. Rather, food craving correlates with blood metabolic parameters and an increased activation of the kynurenine pathway, both of which are linked to higher affective symptomatology and the development of cardiovascular diseases.

Effect of Liraglutide Treatment on Prediabetes and Overweight or Obesity in Clozapine- or Olanzapine-Treated Patients With Schizophrenia Spectrum Disorder: A Randomized Clinical Trial

Importance

Compared with the general population, patients with schizophrenia have a 2- to 3-fold higher mortality rate primarily caused by cardiovascular disease. Previous interventions designed to counteract antipsychotic-induced weight gain and cardiometabolic disturbances reported limited effects.

Objectives

To determine the effects of the glucagon-like peptide-1 receptor agonist liraglutide added to clozapine or olanzapine treatment of schizophrenia spectrum disorders.

Design, Setting, and Participants

This randomized clinical double-blind trial enrolled participants at 2 clinical sites in Denmark. Of 214 eligible participants with a schizophrenia spectrum disorder, 103 were randomized to liraglutide or placebo. Participants received stable treatment with clozapine or olanzapine, were overweight or obese, and had prediabetes. Data were collected from May 1, 2013, through February 25, 2016.

Interventions

Treatment for 16 weeks with once-daily subcutaneous injection of liraglutide or placebo. Trial drug therapy was titrated during the first 2 weeks of the study.

Main Outcomes and Measures

The primary end point was change in glucose tolerance estimated by a 75-g oral glucose tolerance test result. Secondary end points included change in body weight and cardiometabolic parameters.

Results

Of the 103 patients undergoing randomization (60 men [58.3%] and 43 women [41.7%]), 97 were included in the efficacy analysis, with a mean (SD) age of 42.5 (10.5) years and mean (SD) body mass index (calculated as weight in kilograms divided by height in meters squared) of 33.8 (5.9). The liraglutide and placebo groups had comparable characteristics (mean [SD] age, 42.1 [10.7] vs 43.0 [10.5] years; 30 men in each group; mean [SD] body mass index, 33.7 [5.1] vs 33.9 [6.6]). A total of 96 randomized participants (93.2%) completed the trial. Glucose tolerance improved in the liraglutide group compared with the placebo group (P < .001). Altogether, 30 liraglutide-treated participants (63.8%) developed normal glucose tolerance compared with 8 placebo-treated participants (16.0%) (P < .001; number needed to treat, 2). Body weight decreased with liraglutide compared with placebo (-5.3 kg; 95% CI, -7.0 to -3.7 kg). Reductions in waist circumference (-4.1 cm; 95% CI, -6.0 to -2.3 cm), systolic blood pressure (-4.9 mm Hg; 95% CI, -9.5 to -0.3 mm Hg), visceral fat (-250.19 g; 95% CI, -459.9 to -40.5 g), and low-density lipoprotein levels (-15.4 mg/dL; 95% CI, -23.2 to -7.7 mg/dL) occurred with liraglutide compared with placebo. Adverse events with liraglutide affected mainly the gastrointestinal tract.

Conclusions and Relevance

Liraglutide significantly improved glucose tolerance, body weight, and cardiometabolic disturbances in patients with schizophrenia spectrum disorders treated with clozapine or olanzapine.

Trial Registration

clinicaltrials.gov Identifier: NCT01845259.

Effect of Psychopharmacotherapy on Body Mass Index Among Children and Adolescents with Bipolar Disorders

OBJECTIVE

To assess the long-term effect of all treatment options for pediatric bipolar disorders on body mass index (BMI) and to explore individual characteristics associated with less BMI increase during psychotropic medication exposures.

METHODS

A retrospective cohort study was conducted by using the 1995 to 2010 General Electric Electronic Medical Record database. Individuals aged 18 years or younger who had a new bipolar disorder episode were identified. Treatment exposure was defined based on the medication regimens patients received, which include atypical antipsychotic (AT) monotherapy, mood stabilizer (MS) monotherapy, antidepressant (AD) monotherapy, AT+MS polytherapy, AT+AD polytherapy, MS+AD polytherapy, and no treatment. Both treatment exposure and BMI were coded as time varying, which could change from month to month. According to the duration of treatment and the availability of BMI measures, individuals were followed for up to 3, 6, 9, and 12 months since the treatment initiation. Repeated-measures mixed models were applied to compare the impact of different medication regimens and the length of drug exposure on BMI after adjusting for the baseline BMI, sociodemographic factors, comorbidities, and psychotherapy.

RESULTS

A total of 2299 treated and 4544 untreated children and adolescents who met the inclusion criteria were identified. Analysis using repeated-measures mixed models showed that those on AT monotherapy (the reference group) had a gradually diminished, but statistically significant, monthly increase in BMI during all durations of drug exposure (3 months: 0.36 kg/m², 6 months: 0.20 kg/m², 9 months: 0.17 kg/m², and 12 months: 0.16 kg/m²). As compared with AT monotherapy, the magnitude of increase in BMI associated with MS, AD monotherapy, and no treatment was significantly less at all time points, indicating less steep slopes of BMI change over time compared with AT monotherapy, especially during the short-term exposure. The combinations of AT with other psychotropic medications (ATMS, ATAD) were associated with a similar BMI increase as AT monotherapy. Individual characteristics found to be associated with a less increase in BMI during psychotropic medication exposure were being younger and having a higher baseline BMI.

CONCLUSION

The long-term use of atypical antipsychotics, both as monotherapy or in combination with other psychotropic medications in children and adolescents with bipolar disorder, was associated with a steady and cumulative increase in BMI.

Antipsychotic-associated weight gain: management strategies and impact on treatment adherence

Antipsychotic-induced weight gain is a major management problem for clinicians. It has been shown that weight gain and obesity lead to increased cardiovascular and cerebrovascular morbidity and mortality, reduced quality of life and poor drug compliance. This narrative review discusses the propensity of various antipsychotics to cause weight gain, the pharmacologic and nonpharmacologic interventions available to counteract this effect and its impact on adherence. Most antipsychotics cause weight gain. The risk appears to be highest with olanzapine and clozapine. Weight increases rapidly in the initial period after starting antipsychotics. Patients continue to gain weight in the long term. Children appear to be particularly vulnerable to antipsychotic-induced weight gain. Tailoring antipsychotics according to the needs of the individual and close monitoring of weight and other metabolic parameters are the best preventive strategies at the outset. Switching to an agent with lesser tendency to cause weight gain is an option, but carries the risk of relapse of the illness. Nonpharmacologic interventions of dietary counseling, exercise programs and cognitive and behavioral strategies appear to be equally effective in individual and group therapy formats. Both nonpharmacologic prevention and intervention strategies have shown modest effects on weight. Multiple compounds have been investigated as add-on medications to cause weight loss. Metformin has the best evidence in this respect. Burden of side effects needs to be considered when prescribing weight loss medications. There is no strong evidence to recommend routine prescription of add-on medication for weight reduction. Heterogeneity of study methodologies and other confounders such as lifestyle, genetic and illness factors make interpretation of data difficult.

Weight Gain Effects of Second-Generation Antipsychotic Treatment in Autism Spectrum Disorder

OBJECTIVE

Irritability (aggression, self-injury, and severe tantrums) associated with autism spectrum disorder (ASD) is often treated with second-generation antipsychotics (SGAs), which are well known for their associated risk of weight gain in youth. Recent reports suggest that youth with ASD treated with SGAs may suffer more pronounced weight gain than typically developing children. In this study, we present a comprehensive comparison of weight gain effects of five SGAs in a clinical population of youth with ASD.

METHODS

We completed a subanalysis of demographic and treatment data describing 202 youth with ASD treated at two large, subspecialty psychiatry clinics. Included subjects were between 2 and 20 years of age and were treated with one of five SGAs (risperidone, aripiprazole, olanzapine, quetiapine, or ziprasidone) for up to 4 years. We calculated change in each participant's body-mass index (BMI) z-score during the treatment period using a linear model where the dependent variable was change in BMI z-score and the independent variables were SGA used and duration of treatment. First, these models were run for each drug separately, then the SGA groups were run together to estimate differences between groups. We also adjusted these models for weight gain-attenuating concomitant medications.

RESULTS

Treatment with risperidone, aripiprazole, and olanzapine resulted in statistically significant increase in BMI z-score (p = 0.03, 0.05, and <0.01 respectively). Ziprasidone and quetiapine were not associated with an increase in BMI z-score in this analysis (p = 0.47 and p = 0.11). Subjects treated with olanzapine showed a statistically significant greater increase in BMI z-score when compared with the other SGAs (all p-values <0.05). These results did not change when adjusted for multiple testing or weight gain-attenuating medication as covariate.

CONCLUSION

Clinicians treating youth with ASD may be able to use this information to balance the risks and benefits of SGA treatment when managing ASD-associated irritability.

Significant weight loss following clozapine use, how is it possible? A case report and review of published cases and literature relevant to the subject

It has been repeatedly shown that clozapine is more efficacious than other antipsychotics in the management of treatment-resistant schizophrenia. However, clozapine is associated with a number of side effects including weight gain. Antipsychotic-induced weight gain has been linked with a number of untoward events including psychological factors such as stigma and low self-esteem, and physical factors such as metabolic syndromes and untimely death. The mechanism underlying antipsychotic (including clozapine)-induced weight gain is not clearly understood, although it is said to involve several brain areas, several neurotransmitters, neuropeptides and genetic factors. To some individuals however, clozapine use is associated with significant weight loss (13.5-50% of body weight). The observed weight loss in these groups of patients has not been attributed to any underlying diagnosable physical disorders. There have been a handful cases published with this phenomenon, which seems to be contrary to what is expected when clozapine is prescribed. From the currently published cases three groups emerge - those who lost weight simply by taking clozapine, those who lost weight due to improved mental state, engaging in diet and increased exercise, and those for whom weight loss was a sign of a poor response to clozapine. A case of JX who has a diagnosis of schizoaffective disorder is presented. JX lost over 26% of her body weight when she was prescribed clozapine. A detailed review of other published cases is undertaken. The underlying mechanisms involving weight loss are discussed and the implications to clinicians are highlighted. Coordinated studies to examine these groups of patients may provide some insight, not only in the mechanism of clozapine-induced weight loss, but also in the better management of patients with treatment-resistant schizophrenia involving clozapine use.

A systematic review and meta-analysis of randomised controlled trials of treatments for clozapine-induced obesity and metabolic syndrome

Metabolic complications are commonly found in people treated with clozapine. Reviews on the management of this problem have generally drawn conclusions by grouping different types of studies involving patients treated with various different antipsychotics. We carried out a systematic review and meta-analysis of pharmacological and non-pharmacological treatments for clozapine-induced obesity or metabolic syndrome. Two researchers independently searched PubMed and Embase for randomised controlled trials (RCTs) of treatments for clozapine-induced obesity or metabolic syndrome. All other types of studies were excluded. We only included RCTs where more than 50% of participants were taking clozapine. We identified 15 RCTs. Effective pharmacological treatments for clozapine-induced obesity and metabolic syndrome include metformin, aripiprazole, and Orlistat (in men only). Meta-analysis of three studies showed a robust effect of metformin in reducing body mass index and waist circumference but no effects on blood glucose, triglyceride levels, or HDL levels. In addition, there is limited evidence for combined calorie restriction and exercise as a non-pharmacological alternative for the treatment of clozapine-induced obesity, but only in an in-patient setting. Rosiglitazone, topiramate, sibutramine, phenylpropanolamine, modafinil, and atomoxetine have not shown to be beneficial, despite reports of efficacy in other populations treated with different antipsychotics. We conclude that randomised-controlled trial data support the use of metformin, aripiprazole, and Orlistat (in men only) for treating clozapine-induced obesity. Calorie restriction in combination with an exercise programme may be effective as a non-pharmacological alternative. Findings from trials in different populations should not be extrapolated to people being treated with clozapine.

Metformin: an Old Therapy that Deserves a New Indication for the Treatment of Obesity

Metformin is not currently used for weight loss or diabetes prevention because it lacks an FDA indication for obesity and/or pre-diabetes treatment. Based on the evidence, metformin has been shown to decrease the incidence of type 2 diabetes, and compares favorably to other weight-loss medications in terms of efficacy as well as safety. Thus, metformin should be considered for a treatment indication in patients with these conditions.

Neurocognitive, Neuroprotective, and Cardiometabolic Effects of Raloxifene: Potential for Improving Therapeutic Outcomes in Schizophrenia

Raloxifene is a selective estrogen receptor modulator that has been approved for treating osteoporosis and breast cancer in high-risk postmenopausal women. However, recent evidence suggests that raloxifene adjunct therapy improves cognition and reduces symptom severity in men and women with schizophrenia. In animal models, raloxifene increases forebrain neurogenesis and enhances working memory and synaptic plasticity. It may consequently repair the neuronal and synaptic connectivity that is disrupted in schizophrenia. It also reduces oxidative stress and neuroinflammation, which are potent etiological factors in the neuropathology of schizophrenia. Furthermore, in postmenopausal women, raloxifene reduces the risks for atherosclerosis, diabetes mellitus, and weight gain, which are serious adverse effects associated with long-term antipsychotic treatment in schizophrenia; therefore, it may improve the safety and efficacy of antipsychotic drugs. In this review, recent insights into the neurocognitive, neuroprotective, and cardiometabolic effects of raloxifene in relation to therapeutic outcomes in schizophrenia are discussed.

Glucagon-like peptide-1 agonists combating clozapine-associated obesity and diabetes

Clozapine is the most effective antipsychotic, but its use is tempered by adverse metabolic effects such as weight gain, glucose intolerance and type II diabetes. Current interventions do not facilitate compelling or sustained improvement in metabolic status. Recent studies suggest that glucagon-like peptide-1 (GLP-1) may play a key role in clozapine's metabolic effects, possibly suggesting that clozapine-associated obesity and diabetes are mediated independently through reduced GLP-1. As a result, GLP-1 agonists could show promise in reversing antipsychotic-induced metabolic derangements, providing mechanistic justification that they may represent a novel approach to treat, and ultimately prevent, both diabetes and obesity in patients on clozapine. GLP-1 agonists are already used for diabetes, and they provide a unique combination of glycaemic improvement and metabolically relevant weight loss in diabetic and non-diabetic patients, in the context of a currently favourable safety profile. Using GLP-1 agonists for clozapine-associated obesity and diabetes could be a potentially effective intervention that may reduce cardiometabolic morbidity and mortality in this vulnerable patient population.

Rapid adipose deposition with mood disorders

BACKGROUND

Persons with bipolar disorder represent a high-risk group for obesity, but little is known about the time course by which weight gain occurs in bipolar disorder.

METHODS

We prospectively studied changes in fat distribution using dual-energy x-ray absorptiometry in relationship to medication exposure and mood symptom burden in 36 participants with bipolar disorder. We assessed the relationship between prior medication exposure and course of illness with adiposity measures at baseline (N = 36) and at 6-month follow-up (N = 22).

RESULTS

At baseline, greater adiposity was associated with advanced age and female sex, not retrospectively assessed symptom course or medication exposure (past 2 years). Over 6 months of prospective follow-up, participants developed greater adiposity (fat mass index +0.82 kg/m(²), P = .007; visceral fat area +8.6 cm(²), P = .02; total percent fat +1.6%, P = .02). Manic symptomatology, not antipsychotic exposure, was related to the increased adiposity.

CONCLUSIONS

Acute exacerbations of mood disorders appear to represent high-risk periods for adipose deposition. Obesity prevention efforts may be necessary during acute exacerbations.

Schizoaffective disorder and metabolic syndrome: A meta-analytic comparison with schizophrenia and other non-affective psychoses

People with psychotic disorders, including schizophrenia (SCZ), schizoaffective disorder (SD), or other non-affective psychoses (ONAP), have a higher risk of metabolic syndrome (MetS) than general population. However, previous meta-analyses failed to explore if people with SD are more likely to suffer from MetS than SCZ and ONAP. We carried out a systematic review and meta-analysis comparing rates of MetS in SD with those in SCZ or ONAP. We searched main electronic databases for relevant articles published up to January 2015, and for unpublished data, contacting corresponding authors, to minimize selective reporting bias. Odds ratios (ORs) based on random effects models, with 95% confidence intervals (CIs), and heterogeneity (I(2)), were estimated. We performed leave-one-out, quality-based, and subgroups analyses to check findings validity. Testing for publication bias, Egger's test estimates were reported. We included 7616 individuals (1632 with SD and 5984 with SCZ/ONAP) from 30 independent samples. SD, as compared with SCZ/ONAP, had a random-effect pooled OR (95%CI) for MetS of 1.41 (1.23-1.61; p < 0.001; I(2) = 5%). No risk of publication bias was found (p = 0.85). Leave-one-out, sensitivity, and subgroups analyses confirmed the association. To our knowledge, this is the first meta-analysis comparing MetS comorbidity between individuals with SD and those with SCZ or ONAP. SD subjects are more likely to suffer from MetS, with consistent findings across the studies included. However, the role of explanatory factors of this association, and the relative contribution of MetS subcomponents, deserve further research.

Effects of antipsychotics, antidepressants and mood stabilizers on risk for physical diseases in people with schizophrenia, depression and bipolar disorder

People with severe mental illness have a considerably shorter lifespan than the general population. This excess mortality is mainly due to physical illness. Next to mental illness-related factors, unhealthy lifestyle, and disparities in health care access and utilization, psychotropic medications can contribute to the risk of physical morbidity and mortality. We systematically reviewed the effects of antipsychotics, antidepressants and mood stabilizers on physical health outcomes in people with schizophrenia, depression and bipolar disorder. Updating and expanding our prior systematic review published in this journal, we searched MEDLINE (November 2009 - November 2014), combining the MeSH terms of major physical disease categories (and/or relevant diseases within these categories) with schizophrenia, major depressive disorder and bipolar disorder, and the three major psychotropic classes which received regulatory approval for these disorders, i.e., antipsychotics, antidepressants and mood stabilizers. We gave precedence to results from (systematic) reviews and meta-analyses wherever possible. Antipsychotics, and to a more restricted degree antidepressants and mood stabilizers, are associated with an increased risk for several physical diseases, including obesity, dyslipidemia, diabetes mellitus, thyroid disorders, hyponatremia; cardiovascular, respiratory tract, gastrointestinal, haematological, musculoskeletal and renal diseases, as well as movement and seizure disorders. Higher dosages, polypharmacy, and treatment of vulnerable (e.g., old or young) individuals are associated with greater absolute (elderly) and relative (youth) risk for most of these physical diseases. To what degree medication-specific and patient-specific risk factors interact, and how adverse outcomes can be minimized, allowing patients to derive maximum benefits from these medications, requires adequate clinical attention and further research.

Zonisamide: Antipsychotic Weight Gain

This Hospital Pharmacy feature is extracted from Off-Label Drug Facts, a publication available from Wolters Kluwer Health. Off-Label Drug Facts is a practitioner-oriented resource for information about specific drug uses that are unapproved by the US Food and Drug Administration. This new guide to the literature enables the health care professional or clinician to quickly identify published studies on off-label uses and determine if a specific use is rational in a patient care scenario. References direct the reader to the full literature for more comprehensive information before patient care decisions are made. Direct questions or comments regarding Off-Label Drug Uses to jgeneral@ku.edu .

Clinical review: Drugs commonly associated with weight change: a systematic review and meta-analysis

CONTEXT

Various drugs affect body weight as a side effect.

OBJECTIVE

We conducted this systematic review and meta-analysis to summarize the evidence about commonly prescribed drugs and their association with weight change.

DATA SOURCES

MEDLINE, DARE, and the Cochrane Database of Systematic Reviews were searched to identify published systematic reviews as a source for trials.

STUDY SELECTION

We included randomized trials that compared an a priori selected list of drugs to placebo and measured weight change.

DATA EXTRACTION

We extracted data in duplicate and assessed the methodological quality using the Cochrane risk of bias tool.

RESULTS

We included 257 randomized trials (54 different drugs; 84 696 patients enrolled). Weight gain was associated with the use of amitriptyline (1.8 kg), mirtazapine (1.5 kg), olanzapine (2.4 kg), quetiapine (1.1 kg), risperidone (0.8 kg), gabapentin (2.2 kg), tolbutamide (2.8 kg), pioglitazone (2.6 kg), glimepiride (2.1 kg), gliclazide (1.8 kg), glyburide (2.6 kg), glipizide (2.2 kg), sitagliptin (0.55 kg), and nateglinide (0.3 kg). Weight loss was associated with the use of metformin (1.1 kg), acarbose (0.4 kg), miglitol (0.7 kg), pramlintide (2.3 kg), liraglutide (1.7 kg), exenatide (1.2 kg), zonisamide (7.7 kg), topiramate (3.8 kg), bupropion (1.3 kg), and fluoxetine (1.3 kg). For many other remaining drugs (including antihypertensives and antihistamines), the weight change was either statistically nonsignificant or supported by very low-quality evidence.

CONCLUSIONS

Several drugs are associated with weight change of varying magnitude. Data are provided to guide the choice of drug when several options exist and institute preemptive weight loss strategies when obesogenic drugs are prescribed.

Weight gain and antipsychotics: a drug safety review

INTRODUCTION

Second-generation antipsychotics (SGAs) are widely used in several psychiatric disease entities and exert to a different extent a risk for antipsychotic-induced weight gain (AIWG). As AIWG is associated with an increase in metabolic syndrome or cardiovascular events, knowledge of these risks is crucial for further monitoring and the initiation of counteractive measures.

AREAS COVERED

We searched PubMed and Web of Sciences for randomized-controlled trials and naturalistic observational studies published between 2010 and 2014 with sample sizes exceeding 100, including all marketed SGAs apart from zotepine, and providing data on weight increase. We also summarized relevant systematic reviews and meta-analyses of head-to-head comparisons.

EXPERT OPINION

Recently published data still support the hierarchical ranking of SGAs already proposed in previous reviews ranking clozapine and olanzapine as having the highest risk, followed by amisulpride, asenapine, iloperidone, paliperidone, quetiapine, risperidone and sertindole in the middle, and aripiprazole, lurasidone and ziprasidone with the lowest risk. Number needed to harm varied considerably in our meta-analysis. Younger patients and patients with a lower baseline body mass index are most vulnerable. The greatest amount of weight gain occurs within the first weeks of treatment. AIWG occurs in all diagnostic groups and is also common in treatment with first-generation antipsychotics; therefore, awareness of this adverse event is essential for anyone prescribing antipsychotics.

Pharmacological strategies to counteract antipsychotic-induced weight gain and metabolic adverse effects in schizophrenia: a systematic review and meta-analysis

BACKGROUND

Antipsychotic-induced metabolic adversities are often difficult to manage. Using concomitant medications to counteract these adversities may be a rational option.

OBJECTIVE

To systematically determine the effectiveness of medications to counteract antipsychotic-induced metabolic adversities in patients with schizophrenia.

DATA SOURCES

Published articles until November 2013 were searched using 5 electronic databases. Clinical trial registries were searched for unpublished trials.

STUDY SELECTION

Double-blind randomized placebo-controlled trials focusing on patients with schizophrenia were included if they evaluated the effects of concomitant medications on antipsychotic-induced metabolic adversities as a primary outcome.

DATA EXTRACTION

Variables relating to participants, interventions, comparisons, outcomes, and study design were extracted. The primary outcome was change in body weight. Secondary outcomes included clinically relevant weight change, fasting glucose, hemoglobin A1c, fasting insulin, insulin resistance, cholesterol, and triglycerides.

DATA SYNTHESIS

Forty trials representing 19 unique interventions were included in this meta-analysis. Metformin was the most extensively studied drug in regard to body weight, the mean difference amounting to -3.17 kg (95% CI: -4.44 to -1.90 kg) compared to placebo. Pooled effects for topiramate, sibutramine, aripiprazole, and reboxetine were also different from placebo. Furthermore, metformin and rosiglitazone improved insulin resistance, while aripiprazole, metformin, and sibutramine decreased blood lipids.

CONCLUSION

When nonpharmacological strategies alone are insufficient, and switching antipsychotics to relatively weight-neutral agents is not feasible, the literature supports the use of concomitant metformin as first choice among pharmacological interventions to counteract antipsychotic-induced weight gain and other metabolic adversities in schizophrenia.

A double-edged sword: review of the interplay between physical health and mental health

It is widely acknowledged that there is interplay between physical and mental health, with causality in both directions. A common theme across countries is the uncertainty surrounding who should act as gatekeeper for physical health matters in psychiatry. Much of the metabolic monitoring is carried out by psychiatrists who often feel ill equipped to treat medical problems such as abnormal cholesterol or disturbances of glucose metabolism. However many patients do not attend primary care on a regular basis and may not be likely to follow through on referral to primary care. This review aims to examine the interplay between co-morbid physical and mental health conditions, identify the physical health conditions particularly associated with severe affective and psychotic illness and briefly discuss interventions and recommendations in this area. As people with severe mental illness die 10-20 years younger than their peers, with much of this premature mortality due to cardiovascular disease, this topic is emerging as one of great importance amongst clinicians and policymakers internationally.

Metabolic consequences of second-generation antipsychotics in youth: appropriate monitoring and clinical management

Objective

To review the metabolic consequences of second-generation antipsychotics in youth and current monitoring and intervention guidelines for optimal treatment.

Background

Second-generation antipsychotics have largely replaced the use of first-generation antipsychotics in treating psychotic disorders in youth. In addition, there has been a dramatic increase in using these medications to treat a variety of nonpsychotic disorders. These medications have significant metabolic side effects, including weight gain. This raises concern, given the problem of pediatric obesity.

Materials and methods

A review of current literature looking at prescribing practices and possible reasons for the increased use of second-generation antipsychotics in children and adolescents was conducted. Review of the mechanisms for why youth may be particularly vulnerable to the metabolic consequences (particularly weight gain) was similarly completed. In addition, data supporting the efficacy, rationale, and unique side-effect profile of each individual second-generation drug were evaluated to help inform providers on when and what to prescribe, along with current monitoring practices. The current evidence base for possible interventions regarding the management of antipsychotic-induced weight gain was also evaluated.

Results and conclusion

On the basis of the literature review, there are several speculated reasons for the increase in prescriptions of second-generation antipsychotics. The choice of antipsychotic for youth should be based upon the disorder being treated along with the unique side-effect profile for the most commonly used second-generation antipsychotics. Monitoring strategies are also individualized to each antipsychotic. The current interventions recommended for antipsychotic-induced weight gain include lifestyle management, switching medication to a drug with a lower propensity for weight gain, and pharmacologic (particularly metformin) treatment.

Topiramate: antipsychotic-induced weight gain

This Hospital Pharmacy feature is extracted from Off-Label Drug Facts, a publication available from Wolters Kluwer Health. Off-Label Drug Facts is a practitioner-oriented resource for information about specific drug uses that are unapproved by the US Food and Drug Administration. This new guide to the literature enables the health care professional or clinician to quickly identify published studies on off-label uses and determine if a specific use is rational in a patient care scenario. References direct the reader to the full literature for more comprehensive information before patient care decisions are made. Direct questions or comments regarding Off-Label Drug Uses to jgeneral@ku.edu.

Predictors of type 2 diabetes in a nationally representative sample of adults with psychosis

Antipsychotic drugs such as clozapine and olanzapine are associated with an increased risk for type 2 diabetes, but relatively little is known about the relationship between risk factors for type 2 diabetes established in the general population and type 2 diabetes in people with psychosis. We estimated the prevalence of established risk factors and their association with type 2 diabetes in a nationally representative sample of people with an ICD-10 psychosis (N=1642) who gave a fasting blood sample (N=1155). Logistic regression was used to summarize associations adjusted for age and sex. In this sample, whose mean duration of psychosis was 14.7 years, 12.1% (13.1% of women and 11.5% of men) had type 2 diabetes at age 18-64 years based on current fasting blood glucose levels or treatment with a hypoglycaemic drug. Risk was greatly increased in young adults compared with the general population and peaked in middle age. Risk factors in the general population were common in people with psychosis and strongly associated with type 2 diabetes in those people. Treatment with clozapine was associated with an increased risk and treatment with olanzapine with a decreased risk for type 2 diabetes. The development of diabetes or pre-diabetes may therefore influence the likelihood of treatment with olanzapine over time. The strongest predictors of type 2 diabetes in a multivariate model were a body mass index of at least 40 and treated hypercholesterolemia, followed by a body mass index between 35 and 39.9, a family history of diabetes and treated hypertension. There was minimal to no confounding of the association between type 2 diabetes and current clozapine or olanzapine treatment, but neither association remained significant after adjustment for other predictors. Longitudinal relationships among predictors are likely to be complex, and previous antipsychotic drug treatment may at least partly explain risks associated with severe obesity, dyslipidemia and hypertension. A focus on weight loss is warranted in people with psychosis, but prevention strategies for type 2 diabetes should be broadened to include those with emerging dyslipidemia, hypertension and a family history of diabetes.

Topiramate: Antipsychotic-Induced Weight Gain

This Hospital Pharmacy feature is extracted from Off-Label Drug Facts, a publication available from Wolters Kluwer Health. Off-Label Drug Facts is a practitioner-oriented resource for information about specific drug uses that are unapproved by the US Food and Drug Administration. This new guide to the literature enables the health care professional or clinician to quickly identify published studies on off-label uses and determine if a specific use is rational in a patient care scenario. References direct the reader to the full literature for more comprehensive information before patient care decisions are made. Direct questions or comments regarding Off-Label Drug Uses to jgeneral@ku.edu .

Metformin: prevention and treatment of antipsychotic-induced weight gain

This Hospital Pharmacy feature is extracted from Off-Label Drug Facts, a publication available from Wolters Kluwer Health. Off-Label Drug Facts is a practitioner-oriented resource for information about specific drug uses that are unapproved by the US Food and Drug Administration. This new guide to the literature enables the health care professional or clinician to quickly identify published studies on off-label uses and determine if a specific use is rational in a patient care scenario. References direct the reader to the full literature for more comprehensive information before patient care decisions are made. Direct questions or comments regarding Off-Label Drug Uses to jgeneral@ku.edu.

Routine exercise ameliorates the metabolic side-effects of treatment with the atypical antipsychotic drug olanzapine in rats

Second generation antipsychotic (SGA) drugs are effective treatments for psychosis. Common side-effects of SGAs include metabolic dysregulation and risk of cardiometabolic disorders. Metabolic side-effects, including glucose intolerance, can be accurately modelled in rodents. The benefits of interventions used for treating metabolic side-effects of SGAs are mostly unknown. In a 9 wk longitudinal study, female rats were given daily olanzapine (10 mg/kg s.c.) or vehicle. Animals were either sedentary or allowed 1 or 3 h daily access to a running wheel, with total wheel revolutions electronically quantified to reflect exercise intensity. Glucose tolerance tests were performed once weekly to measure glycemic control. Drug levels were measured at week 4. At week 9, abdominal fat and skeletal muscle levels of Glucose Transporter 4 (GLUT4) were measured. Exercise intensity progressively increased over time in all groups given access to running wheels; however, rats treated with olanzapine consistently exercised less than those given the vehicle. Olanzapine caused acute and persistent glucose intolerance throughout the study, which was markedly, though incompletely, ameliorated by exercise. Exercise did not affect glycemic regulation in vehicle-treated rats. Olanzapine-treated rats showed greater central adiposity. Levels of GLUT4 in skeletal muscle were higher in both groups of exercising than in sedentary rats, and GLUT4 values were negatively correlated with glucose intolerance. Routine exercise reduced olanzapine-induced glucose intolerance and increased skeletal muscle levels of GLUT 4, the insulin-responsive transporter that mediates glucose uptake into cells. The current animal model is suitable for evaluating physiological pathways involved with glucose intolerance.

Psychopharmacologic treatment of psychosis in children and adolescents: efficacy and management

The efficacy of antipsychotic use in children and adolescents with psychosis has been shown in an increasing number of randomized controlled trials. Chronic use of second-generation and third-generation antipsychotics has the potential for significant side effects, especially metabolic syndrome. A review of the literature on side effect profiles of antipsychotic medications used in children and adolescents is provided to help clinicians develop treatment plans for their patients. Clozapine has the best efficacy of all antipsychotic medications in adults as well as children and adolescents who are treatment resistant. Guidance is provided for the management of clozapine side effects.

Reducing antipsychotic-induced weight gain in schizophrenia: a double-blind placebo-controlled study of reboxetine-betahistine combination

RATIONALE

Combination treatment with reboxetine, a selective norepinephrine reuptake inhibitor, and betahistine, a histamine H1 receptor agonist/H3 antagonist, was developed to produce complementary action in CNS pathways regulating appetite and body weight. In the present placebo-controlled study, we evaluated whether a reboxetine-betahistine combination attenuates olanzapine-induced weight gain in schizophrenia patients.

METHOD

Forty-three inpatients with DSM-IV schizophrenic disorder participated in a randomized double-blind study. Reboxetine (4 mg/day) with betahistine (48 mg/day) (N = 29) or placebo (N = 14) was co-administered with olanzapine (10 mg/day) for 6 weeks. Mental status was assessed at baseline and endpoint with relevant rating scales. Intention-to-treat method was used for statistical analysis.

RESULTS

Seven patients in the study group and four in the placebo group discontinued the trial. At the end of the trial, patients in the olanzapine/reboxetine + betahistine group gained significantly less weight than those in the olanzapine/placebo group [2.02 ± 2.37 and 4.77 ± 3.16 kg, respectively; t = 2. 89, degrees of freedom (df) = 41, p = 0.006]. The weight-attenuating effect of this combination was twofold larger than the weight-attenuating effect previously demonstrated with reboxetine alone. Significantly fewer patients in the study group than in the comparison group increased their initial weight by >7 %, the cutoff for clinically significant weight gain [3/29 (10.3 %) and 6/14 (42.9 %), respectively; χ (2) = 6.03, df = 1, p = 0.014]. The reboxetine-betahistine combination was safe and well tolerated.

CONCLUSIONS

Reboxetine-betahistine combination produces a clinically meaningful attenuation of olanzapine-induced weight gain. These results justify direct comparison between the reboxetine-betahistine combination and reboxetine alone.