Efficacy of Metformin and Topiramate in Prevention and Treatment of Second-Generation Antipsychotic–Induced Weight Gain

Pharmacological Interventions of Atypical Antipsychotics Induced Weight Gain in the Pediatric Population: A Systemic Review of Current Evidence

To systematically review studies evaluating pharmacological treatment intervention of the atypical antipsychotic induced weight gain in the pediatric population and summarize the current evidence of the pharmacological treatment. According to the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines, we searched the various databases Medline, PubMed, PubMed central (PMC), CINAHL, and clinicaltrial.gov. until Jan 30th, 2022 for relevant clinical studies. Medical subject heading (MeSH) terms or keywords were used, "Body Weight," "Weight Gain," "Weight Loss," "Body Weight Maintenance," "Pediatric Obesity" in "Pediatrics," "Adolescent," "Child" in context of "Antipsychotic Agents" and "Drug Therapy," "Therapeutics," "Treatment Outcome," "Early Medical Intervention." We used the PICO algorithm for our search (Population, Intervention, Comparison, Outcomes, and Study Design) framework. The initial search included 746 articles, nine studies were ultimately selected in the final qualitative review. We included relevant clinical reviews, case series, and randomized clinical trials that evaluated pharmacological intervention for antipsychotic-induced weight gain in the pediatric population. Non-peer-reviewed, non-human, non-English languages article was excluded. Metformin is the most studied medication for antipsychotic-induced weight gain in children. Three studies have shown that adding Metformin to the antipsychotics can significantly reduce the body weight and body mass index with mild transient side effects. Other adjunct medications like topiramate, amantadine, betahistine, or melatonin vary greatly in mitigating weight with various side effects. Lifestyle modification is the first step in dealing with AIWG, but the result is inconsistent. Avoiding the use of antipsychotic in children is preferred. Adding an adjuvant medication to the antipsychotic could prevent or mitigate their negative metabolic effect on the body weight and body mass index. Metformin has the most evidence, topiramate, betahistine, amantadine, and melatonin is possible alternatives in the pediatric patient without changing their antipsychotic medication. Other viable options show some benefits but need further clinical studies to establish efficacy and safety.

Second to none: rationale, timing, and clinical management of clozapine use in schizophrenia

Despite its enduring relevance as the single most effective and important evidence-based treatment for schizophrenia, underutilization of clozapine remains considerable. To a substantial degree, this is attributable to a reluctance of psychiatrists to offer clozapine due to its relatively large side-effect burden and the complexity of its use. This underscores the necessity for continued education regarding both the vital nature and the intricacies of clozapine treatment. This narrative review summarizes all clinically relevant areas of evidence, which support clozapine's wide-ranging superior efficacy - for treatment-resistant schizophrenia (TRS) and beyond - and make its safe use eminently feasible. Converging evidence indicates that TRS constitutes a distinct albeit heterogeneous subgroup of schizophrenias primarily responsive to clozapine. Most importantly, the predominantly early onset of treatment resistance and the considerable decline in response rates associated with its delayed initiation make clozapine an essential treatment option throughout the course of illness, beginning with the first psychotic episode. To maximize patients' benefits, systematic early recognition efforts based on stringent use of TRS criteria, a timely offer of clozapine, thorough side-effect screening and management as well as consistent use of therapeutic drug monitoring and established augmentation strategies for suboptimal responders are crucial. To minimize permanent all-cause discontinuation, re-challenges after neutropenia or myocarditis should be considered. Owing to clozapine's unique efficacy, comorbid conditions including substance use and most somatic disorders should not dissuade but rather encourage clinicians to consider clozapine. Moreover, treatment decisions need to be informed by the late onset of clozapine's full effects, which for reduced suicidality and mortality rates may not even be readily apparent. Overall, the singular extent of its efficacy combined with the high level of patient satisfaction continues to distinguish clozapine from all other available antipsychotics.

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.

Strategies in the Management of Adolescent Obesity

Purpose of Review

We review the current options to manage adolescent obesity which include nutrition, physical activity, behavior modification, sleep management, pharmacotherapy and surgery. Since lifestyle interventions alone are often not effective in adolescents, a multi-disciplinary treatment approach is necessary in management.

Recent Findings

Medications (often used off-label) and metabolic/bariatric surgery are effective treatment strategies to treat adolescents with severe obesity.

Summary

The use of pharmacotherapy and surgery is limited due to lack of pediatric obesity tertiary care centers. With more centers, the treatment of adolescent obesity will improve and aid to decrease the prevalence of adult obesity.

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.

Metformin Attenuates Liver Fat Content: Finding from Schizophrenia Patients with Olanzapine-induced Weight Gain

Objective

This study was performed to evaluate the efficacy of metformin on liver fat content (LFC) in first episode schizophrenia patients with olanzapine-induced weight gain, and the relationship between the change of LFC and the other metabolic indices.

Methods

In a double-blind study, the clinically stable inpatients with first-episode schizophrenia under olanzapine monotherapy who gained more than 7% of their baseline weight were randomly assigned to two groups; one with olanzapine plus metformin (1,000 mg/day) (metformin group) and the other with olanzapine plus placebo (placebo group) for 16 weeks. All patients continued to maintain the original olanzapine dosage. LFC was measured by magnetic resonance imaging at baseline and at the end of 16 weeks, respectively. At the same time, glucose and lipid metabolism, homeostasis model assessment of insulin resistance index (HOMA-IR) were measured respectively, analyzing the correlation between the change value of LFC and other indicators.

Results

Over the 16-week study period, LFC value in metformin group decreased compared with baseline. LFC change across the 16-week treatment period was −2.91% for the metformin group and 0.59% for the placebo group, with a between-group difference of −3.5% (95% confidence interval, −6.08 to −0.93; p = 0.009). Compared to baseline, in the metformin group, triglyceride and HOMA-IR reduced significantly, while high density lipoprotein cholesterol increased significantly at weeks 16. There was positive correlation between LFC changes and triglycerides, HOMA-IR changes significantly.

Conclusion

Metformin can significantly attenuate LFC in schizophrenia patients with olanzapine-induced weight gain. It may be related to the improvement of the part of the glucolipid metabolic indices.

Primary care management of cardiovascular risk for people with severe mental illnesses: the Primrose research programme including cluster RCT

Background

Effective interventions are needed to prevent cardiovascular disease (CVD) in people with severe mental illnesses (SMI) because their risk of CVD is higher than that of the general population.

Objectives

(1) Develop and validate risk models for predicting CVD events in people with SMI and evaluate their cost-effectiveness, (2) develop an intervention to reduce levels of cholesterol and CVD risk in SMI and (3) test the clinical effectiveness and cost-effectiveness of this new intervention in primary care.

Design

Mixed methods with patient and public involvement throughout. The mixed methods were (1) a prospective cohort and risk score validation study and cost-effectiveness modelling, (2) development work (focus groups, updated systematic review of interventions, primary care database studies investigating statin prescribing and effectiveness) and (3) cluster randomised controlled trial (RCT) assessing the clinical effectiveness and cost-effectiveness of a new practitioner-led intervention, and fidelity assessment of audio-recorded appointments.

Setting

General practices across England.

Participants

All studies included adults with SMI (schizophrenia, bipolar disorder or other non-organic psychosis). The RCT included adults with SMI and two or more CVD risk factors.

Interventions

The intervention consisted of 8–12 appointments with a practice nurse/health-care assistant over 6 months, involving collaborative behavioural approaches to CVD risk factors. The intervention was compared with routine practice with a general practitioner (GP).

Main outcome measures

The primary outcome for the risk score work was CVD events, in the cost-effectiveness modelling it was quality-adjusted life-years (QALYs) and in the RCT it was level of total cholesterol.

Data sources

Databases studies used The Health Improvement Network (THIN). Intervention development work included focus groups and systematic reviews. The RCT collected patient self-reported and routine NHS GP data. Intervention appointments were audio-recorded.

Results

Two CVD risk score models were developed and validated in 38,824 people with SMI in THIN: the Primrose lipid model requiring cholesterol levels, and the Primrose body mass index (BMI) model with no blood test. These models performed better than published Cox Framingham models. In health economic modelling, the Primrose BMI model was most cost-effective when used as an algorithm to drive statin prescriptions. Focus groups identified barriers to, and facilitators of, reducing CVD risk in SMI including patient engagement and motivation, staff confidence, involving supportive others, goal-setting and continuity of care. Findings were synthesised with evidence from updated systematic reviews to create the Primrose intervention and training programme. THIN cohort studies in 16,854 people with SMI demonstrated that statins effectively reduced levels of cholesterol, with similar effect sizes to those in general population studies over 12–24 months (mean decrease 1.2 mmol/l). Cluster RCT: 76 GP practices were randomised to the Primrose intervention (n = 38) or treatment as usual (TAU) (n = 38). The primary outcome (level of cholesterol) was analysed for 137 out of 155 participants in Primrose and 152 out of 172 in TAU. There was no difference in levels of cholesterol at 12 months [5.4 mmol/l Primrose vs. 5.5 mmol/l TAU; coefficient 0.03; 95% confidence interval (CI) –0.22 to 0.29], nor in secondary outcomes related to cardiometabolic parameters, well-being or medication adherence. Mean cholesterol levels decreased over 12 months in both arms (–0.22 mmol/l Primrose vs. –0.39 mmol/l TAU). There was a significant reduction in the cost of inpatient mental health attendances (–£799, 95% CI –£1480 to –£117) and total health-care costs (–£895, 95% CI –£1631 to –£160; p = 0.012) in the intervention group, but no significant difference in QALYs (–0.011, 95% CI –0.034 to 0.011). A total of 69% of patients attended two or more Primrose appointments. Audiotapes revealed moderate fidelity to intervention delivery (67.7%). Statin prescribing and adherence was rarely addressed.

Limitations

RCT participants and practices may not represent all UK practices. CVD care in the TAU arm may have been enhanced by trial procedures involving CVD risk screening and feedback.

Conclusions

SMI-specific CVD risk scores better predict new CVD if used to guide statin prescribing in SMI. Statins are effective in reducing levels of cholesterol in people with SMI in UK clinical practice. This primary care RCT evaluated an evidence-based practitioner-led intervention that was well attended by patients and intervention components were delivered. No superiority was shown for the new intervention over TAU for level of cholesterol, but cholesterol levels decreased over 12 months in both arms and the intervention showed fewer inpatient admissions. There was no difference in cholesterol levels between the intervention and TAU arms, which might reflect better than standard general practice care in TAU, heterogeneity in intervention delivery or suboptimal emphasis on statins.

Future work

The new risk score should be updated, deployed and tested in different settings and compared with the latest versions of CVD risk scores in different countries. Future research on CVD risk interventions should emphasise statin prescriptions more. The mechanism behind lower costs with the Primrose intervention needs exploring, including SMI-related training and offering frequent support to people with SMI in primary care.

Trial registration

Current Controlled Trials ISRCTN13762819.

Funding

This project was funded by the National Institute for Health Research (NIHR) Programme Grants for Applied Research programme and will be published in full in Programme Grants for Applied Research; Vol. 7, No. 2. See the NIHR Journals Library website for further project information. Professor David Osborn is supported by the University College London Hospital NIHR Biomedical Research Centre and he was also in part supported by the NIHR Collaboration for Leadership in Applied Health Research and Care (CLAHRC) North Thames at Barts Health NHS Trust.

Cardiovascular Risks and Benefits of Medications Used for Weight Loss

Obesity is a complex disease influenced by many neurohormonal pathways which regulate body weight toward homeostasis. Presently, the disease of obesity effects over a billion individuals worldwide with scalable treatment options in dire need. Pharmacologic interventions for obesity have been developed to help promote weight loss in individuals with obesity. This area is rapidly developing and will only exponentially increase to serve the demand for persons with obesity seeking biologically orientated solutions to treat their disease. Therefore, understanding the cardiovascular risks and benefits of these weight loss medications is of particularly importance due to obesities strong association with cardiovascular (CV) disease risk. Moreover, past experiences with pharmacotherapy agents with weight loss properties have demonstrated an association with adverse CV outcomes, leading to market removal, in most cases and concerns over using similar medications. To better understand the CV risks and benefits pharmacotherapy agents used for weight loss, this review will discuss medications which are FDA-approved for weight loss, as well as medications commonly used off-label for this indication. The goal is to provide an overview of the risks and benefits many of these medications can offer to help guide clinical decision making and patient education.

Cardiovascular Risks and Benefits of Medications Used for Weight Loss

Obesity is a complex disease influenced by many neurohormonal pathways which regulate body weight toward homeostasis. Presently, the disease of obesity effects over a billion individuals worldwide with scalable treatment options in dire need. Pharmacologic interventions for obesity have been developed to help promote weight loss in individuals with obesity. This area is rapidly developing and will only exponentially increase to serve the demand for persons with obesity seeking biologically orientated solutions to treat their disease. Therefore, understanding the cardiovascular risks and benefits of these weight loss medications is of particularly importance due to obesities strong association with cardiovascular (CV) disease risk. Moreover, past experiences with pharmacotherapy agents with weight loss properties have demonstrated an association with adverse CV outcomes, leading to market removal, in most cases and concerns over using similar medications. To better understand the CV risks and benefits pharmacotherapy agents used for weight loss, this review will discuss medications which are FDA-approved for weight loss, as well as medications commonly used off-label for this indication. The goal is to provide an overview of the risks and benefits many of these medications can offer to help guide clinical decision making and patient education.

Efficacy and safety of adjunctive topiramate for schizophrenia: a meta-analysis of randomized controlled trials

OBJECTIVE

To systematically examine the randomized controlled trial (RCT) evidence regarding efficacy and tolerability of topiramate cotreatment with antipsychotics in schizophrenia-spectrum disorders.

METHODS

Random-effects meta-analysis of RCTs of topiramate cotreatment with antipsychotics vs. placebo/ongoing antipsychotic treatment in schizophrenia-spectrum disorders. Standardized or weighted mean difference (SMD/WMD), risk ratio (RR) ±95% confidence intervals (CIs), and number needed to harm (NNH) were calculated.

RESULTS

Across 16 RCTs (n = 934, duration = 11.8 ± 5.6 weeks), topiramate outperformed the comparator regarding change/endpoint of total (SMD: -0.58, 95% CI: -0.82, -0.35, P < 0.00001), positive (SMD: -0.37, 95% CI: -0.61, -0.14, P = 0.002), negative (SMD: -0.58, 95% CI: -0.87, -0.29, P < 0.0001), and general symptoms (SMD: -0.68, 95% CI: -0.95, -0.40, P < 0.00001). Furthermore, topiramate was superior regarding body weight (WMD: -2.75 kg, 95% CI: -4.03, -1.47, P < 0.0001), body mass index (BMI) (WMD: -1.77, 95% CI: -2.38, -1.15, P < 0.00001), triglycerides (P = 0.006), and insulin levels (P < 0.00001). Superiority regarding psychopathology and body weight/BMI was consistent across Chinese/Asian and Western RCTs, double-blind and open designs, clozapine and non-clozapine cotreatment, augmentation and co-initiation RCTs, and higher and lower quality RCTs. In meta-regression analyses, topiramate's efficacy for total symptoms was moderated by shorter illness duration (P = 0.047), while weight loss was greater in prevention/co-initiation vs. intervention/augmentation RCTs (-4.11 kg, 95% CI: -6.70, -1.52 vs. -1.41 kg, 95% CI: -2.23, -0.59, P < 0.001). All-cause discontinuation was similar between topiramate and comparators (RR: 1.28, 95% CI: 0.91, 1.81, P = 0.16). While topiramate led to more concentration/attention difficulties (P = 0.03, NNH = 8, 95% CI=4-25), psychomotor slowing (P = 0.02, NNH = 7, 95% CI = 4-25), and paresthesia (P = 0.05, NNH = 2, 95% CI = 4-33), it led to less ≥7% weight gain (P = 0.0001, NNH = 2, 95% CI = 2-3) and constipation (P = 0.04, NNH = 9, 95% CI = 5-100) than the comparator.

CONCLUSIONS

These results indicate that adjunctive topiramate to antipsychotics is an effective and safe treatment choice for symptomatic improvement and weight reduction in patients with schizophrenia-spectrum disorders.

Altered metabolic parameters in association with antipsychotic medication use in diabetes: A population based case-control study

AIMS

This study assess differences in clinical variables in diabetes patients prescribed antipsychotic medication and determines relative schizophrenia prevalence in the diabetes population.

METHODS

This population-based case-control study utilizing Scotland's national diabetes registry (SCI-diabetes) and linked psychiatric hospital discharge data (SMR04) established diabetes phenotypes in a patient cohort prescribed long term antipsychotic medication (n=2362) (cases). Cases were matched 1:10 to diabetes patients not prescribed antipsychotic medication (controls) for BMI, gender; diabetes type; birth year; diagnosis date; smoking status. Sub-groups with defined schizophrenia (n=196) or bipolar disorder (n=190) were further examined. Schizophrenia prevalence in the diabetes versus general population was compared.

RESULTS

During follow up, antipsychotic prescription was associated with lower HbA1c (55.1 (95% CI 54.5-55.8) or 7.2 (95% CI 7.1-7.3)% vs 58.2 (58.0-58.4) mmol or 7.5 (95% CI 7.5-7.5)% p<0.001) lower serum total cholesterol, 4.2 (4.1-4.2) vs 4.3 (4.2-4.3) mmol/l, p<0.001, lower blood pressure (systolic 130 (130.17-131.29) vs 134 (134.3-134.7) mmHg, p<0.001), higher prescription of oral hypoglycaemic medication (42% (40-45) vs 38% (37-39) p<0.001), similar statin prescriptions (85% (81-89) vs 85% (84-86), p=0.55), and lower retinopathy rates (28% (25.6-30.5) vs 32% (31.5-33.1), p<0.001). HbA1c at diagnosis was similar (p=0.27). Schizophrenia prevalence was higher in the diabetes versus general population with differences across age groups (Scottish population versus diabetic population rate of 522.2 (522.1-522.3) versus 717.4 (703.4-731.9) per 100,000).

CONCLUSIONS

We confirm higher diabetes rates in schizophrenia up to age 70, similar attendance rates and clinical measurements that are not worse in a large well-matched population-based Scottish sample prescribed antipsychotic medication versus matched general diabetes patients.

Improving metabolic parameters of antipsychotic child treatment (IMPACT) study: rationale, design, and methods

BACKGROUND

Youth with serious mental illness may experience improved psychiatric stability with second generation antipsychotic (SGA) medication treatment, but unfortunately may also experience unhealthy weight gain adverse events. Research on weight loss strategies for youth who require ongoing antipsychotic treatment is quite limited. The purpose of this paper is to present the design, methods, and rationale of the Improving Metabolic Parameters in Antipsychotic Child Treatment (IMPACT) study, a federally funded, randomized trial comparing two pharmacologic strategies against a control condition to manage SGA-related weight gain.

METHODS

The design and methodology considerations of the IMPACT trial are described and embedded in a description of health risks associated with antipsychotic-related weight gain and the limitations of currently available research.

RESULTS

The IMPACT study is a 4-site, six month, randomized, open-label, clinical trial of overweight/obese youth ages 8-19 years with pediatric schizophrenia-spectrum and bipolar-spectrum disorders, psychotic or non-psychotic major depressive disorder, or irritability associated with autistic disorder. Youth who have experienced clinically significant weight gain during antipsychotic treatment in the past 3 years are randomized to either (1) switch antipsychotic plus healthy lifestyle education (HLE); (2) add metformin plus HLE; or (3) HLE with no medication change. The primary aim is to compare weight change (body mass index z-scores) for each pharmacologic intervention with the control condition. Key secondary assessments include percentage body fat, insulin resistance, lipid profile, psychiatric symptom stability (monitored independently by the pharmacotherapist and a blinded evaluator), and all-cause and specific cause discontinuation. This study is ongoing, and the targeted sample size is 132 youth.

CONCLUSION

Antipsychotic-related weight gain is an important public health issue for youth requiring ongoing antipsychotic treatment to maintain psychiatric stability. The IMPACT study provides a model for pediatric research on adverse event management using state-of-the art methods. The results of this study will provide needed data on risks and benefits of two pharmacologic interventions that are already being used in pediatric clinical settings but that have not yet been compared directly in randomized trials.

TRIAL REGISTRATION

Clinical Trials.gov NCT00806234.

The relationship between bipolar disorder and type 2 diabetes: more than just co-morbid disorders

Type 2 diabetes mellitus (T2DM) rates are three times higher in patients with bipolar disorder (BD), compared to the general population. This is a major contributing factor to the elevated risk of cardiovascular mortality, the leading cause of death in bipolar patients. There may be shared pathophysiology linking the two disorders, including hypothalamic-pituitary-adrenal and mitochondrial dysfunction, common genetic links, and epigenetic interactions. Life-style, phenomenology of bipolar symptoms, and adverse effects of pharmacotherapy may be contributing factors. Patients with BD and T2DM have a more severe course of illness and are more refractory to treatment. Control of their diabetes is poorer when compared to diabetics without BD, and an existing disparity in medical care may be partly responsible. Glucose abnormalities in bipolar patients need to be screened for and treated. Metformin appears to have the best benefit/risk ratio, and the dipeptidyl peptidase-4 inhibitors and glucagon-like peptide-1 receptor agonists and analogues also appear promising, although these agents have not been specifically studied in populations with mood disorders. Physicians need to be aware of the increased risk for T2DM and cardiovascular disease in bipolar patients, and appropriate prevention, screening, case finding, and treatment is recommended.

Weight gain and glucose dysregulation with second-generation antipsychotics and antidepressants: a review for primary care physicians

Second-generation antipsychotics (SGAPs) and second-generation antidepressants (SGADs) have multiple US Food and Drug Administration-approved indications and are frequently prescribed by primary care physicians. We review the relative potential of these drugs to cause weight gain and glucose dysregulation, and offer clinical guidance to minimize and manage this risk. Among SGAPs, clozapine and olanzapine have a high risk for causing weight gain and glucose dysregulation; iloperidone, paliperidone, quetiapine, and risperidone have a medium risk; and aripiprazole, asenapine, lurasidone, and ziprasidone have a low risk. Young, drug-naïve patients are particularly vulnerable to weight gain associated with SGAPs. With the exception of clozapine, SGAPs have modest differences in their efficacy; however, their side effect profiles may influence selection. Using SGAPs with high metabolic liability conservatively and limiting their off-label use are important means to minimize risk. Patients should be screened before initiating any SGAP (or any antipsychotic medication) and monitored subsequently following standard guidelines, such as those provided by the American Diabetes Association. Healthy lifestyle counseling should be offered to all patients. Patients showing evidence of significant weight gain should be switched to an SGAP with a lower metabolic liability. Metformin may have some utility in young patients with limited exposure to antipsychotic drugs if lifestyle interventions fail and switching the SGAP is not an option. This option should be tried sooner than later for the best possible result. For SGADs, paroxetine and mirtazapine are associated with weight gain, and bupropion may cause modest weight loss. Other SGADs are mostly weight neutral, but individual variations may occur. Depression is associated with weight change and is a risk factor for glucose dysregulation. Treatment of depression improves glucose metabolism. We recommend that all patients taking SGADs be screened using anthropometric measures and metabolic assessment at baseline. Monitoring should be guided individually based on weight gain and other risk factors.

Metformin for obesity and glucose dysregulation in patients with schizophrenia receiving antipsychotic drugs

Antipsychotic drug-induced weight gain and glucose dysregulation add to the cardiovascular risk of patients with schizophrenia and contribute to their early mortality. The currently recommended interventions to address the metabolic complications of antipsychotic drug treatment are to switch the patient from an antipsychotic drug with high metabolic liability to one with a lower liability and to implement lifestyle changes. These interventions can be quite challenging to carry out. So far the progress in improving the metabolic and cardiovascular outcome of patients with major mental illness has been disappointing. We offer an overview of the literature on metformin for antipsychotic drug-induced weight gain and glucose dysregulation and pertinent literature from the Diabetes Prevention Program. We conclude that young adults with schizophrenia newly exposed to antipsychotic drugs, who show a pattern of rapid weight gain and/or glucose dysregulation, are prime candidates for metformin if switching the antipsychotic medication to one with a lower metabolic burden is not an option or does not curtail the weight gain and/or adverse metabolic effects. Metformin therapy should not preclude healthy lifestyle interventions.

Surgical treatment of morbid obesity among patients with bipolar disorder: a research agenda

INTRODUCTION

Persons with bipolar disorder (BD) have an increased risk of obesity and associated diseases. Success of current behavioral treatment for obesity in patients with BD is inadequate.

METHODS

Existing literature on bariatric surgery outcomes in populations with BD were reviewed, and needed areas of research were identified.

RESULTS

Knowledge about bariatric surgery outcomes among patients with BD is limited. Available evidence indicates that bariatric surgery is a uniquely effective intervention for achieving and sustaining significant weight loss and improving metabolic parameters. Notwithstanding the benefits of bariatric surgery in nonpsychiatric samples, individuals with BD (and other serious and persistent mental illnesses) have decreased access to this intervention. Areas of needed research include: (1) current practice patterns; (2) metabolic course after bariatric surgery; (3) psychiatric course after bariatric surgery; and (4) mechanisms of psychiatric effect.

CONCLUSION

The considerable hazards posed by obesity in BD, as measured by illness complexity and premature mortality, provide the basis for hypothesizing that bariatric surgery may prevent and improve morbidity in this patient population. In addition to physical health benefits, bariatric surgery may exert a robust and favorable effect on the course and outcome of BD and reduce obesity-associated morbidity, the most frequent cause of premature mortality in this patient population.

Childhood obesity and environmental chemicals

Childhood and adolescent rates of obesity and overweight are continuing to increase in much of the world. Risk factors such as diet composition, excess caloric intake, decreased exercise, genetics, and the built environment are active areas of etiologic research. The obesogen hypothesis, which postulates that prenatal and perinatal chemical exposure can contribute to risk of childhood and adolescent obesity, remains relatively underexamined. This review surveys numerous classes of chemicals for which this hypothesis has been explored. We focus on human data where they exist and also discuss the findings of rodent and cell culture studies. Organochlorine chemicals as well as several classes of chemicals that are peroxisome proliferator-activated receptor agonists are identified as possible risk factors for obesity. Recommendations for future epidemiologic and experimental research on the chemical origins of obesity are also given.

Weight gain, obesity, and psychotropic prescribing

A majority of psychiatric medications are known to generate weight gain and ultimately obesity in some patients. There is much speculation about the prevalence of weight gain and the degree of weight gain during acute and longitudinal treatment with these agents. There is newer literature looking at the etiology of this weight gain and the potential treatments being used to alleviate this side effect. The authors undertook a comprehensive literature review in order to present epidemiology, etiology, and treatment options of weight gain associated with antipsychotics, mood stabilizers, and antidepressants.

Special considerations in the treatment of college students with bipolar disorder

Bipolar disorder is a relatively common mental disorder that often has its onset during the college years. This means that students simultaneously face both the challenge of late adolescent development and the challenge of adapting to a major mental illness. As a further complication, the college environment is not well suited to the kinds of lifestyle changes that add stability to the lives of people with bipolar disorder. Treatment involves establishing an alliance, education about lifestyle changes, aiding adaptation to the illness, careful medication to minimize side effects, and loosening the affective constriction that can result from fear of relapse. Both the health care provider and student can use the culture of learning and self-discovery in the college setting to the treatment's benefit. As well, the provider can use the time-limited nature of college to lessen ambivalence about making long-term changes.

Metabolic syndrome with the atypical antipsychotics

PURPOSE OF REVIEW

Metabolic syndrome and cardiovascular diseases are important causes of morbidity and mortality among patients with severe mental illnesses. Atypical or second-generation antipsychotics (SGAs) are associated with obesity and other components of metabolic syndrome, particularly abnormal glucose and lipid metabolism. This review aims to provide a summary of recent evidence on metabolic risks associated with SGAs, current recommendations for metabolic monitoring, and efficacy of treatment options currently available.

RECENT FINDINGS

Studies have identified younger, antipsychotic-naive patients with first-episode psychosis as a population vulnerable to adverse metabolic effects from SGAs. These patients gained more weight and developed evident lipid and glucose abnormalities as soon as 8-12 weeks after treatment initiation. Findings are more striking among children and adolescents. The differential effects of various SGAs are well described, with clozapine and olanzapine associated with the highest metabolic risk. In addition to behavioral therapy, emerging data suggest that pharmacological therapy, most notably metformin, is efficacious in the treatment and possibly prevention of SGA-associated metabolic derangements.

SUMMARY

More data have become available on the burden from metabolic complications associated with SGAs. New and effective treatment options are required in the near future to improve cardiovascular health in this susceptible population.

Swedish clinical guidelines--prevention and management of metabolic risk in patients with severe psychiatric disorders

Individuals with severe psychiatric disorders are more likely than the population at large to develop metabolic derangements such as overweight and diabetes. Cardiovascular disease is also more frequently seen in this group. Contributing factors may include inappropriate diet or lack of physical activity, but antipsychotic medication may also play a role. Seven Swedish specialist medical societies have collaborated in formulating a set of concise clinically applicable guidelines-reproduced here in modified form-for the prevention and management of metabolic risk in this patient group. The importance of implementation is emphasized.