Metabolic effects of second-generation antipsychotics in bipolar youth: comparison with other psychotic and nonpsychotic diagnoses

Systematic review and meta-analysis of weight gain and metabolic changes in children and adolescents using second-generation antipsychotics

The use of second-generation antipsychotics in children and adolescents has significantly increased in recent decades, raising concerns about side effects such as weight gain, dyslipidemia, and insulin resistance. These effects are concerning during development, as they may predispose individuals to adult obesity and metabolic complications. Therefore, the aim of this review is to update the evidence on associations between the use of these medications, weight gain, BMI changes, and major metabolic alterations in children and adolescents. This review was conducted following the PRISMA protocol and registered in PROSPERO under the number: CRD42024549448. The search was carried out in March 2024 using the terms "child," "adolescent," "weight gain," "metabolism disorders," and "antipsychotics," combined with the AND operator in the MEDLINE, Scopus, Cochrane, and PubMed databases. The main findings of this review included weight gain, increased BMI, and metabolic alterations, such as insulin resistance and increased abdominal circumference. The meta-analysis highlighted a positive association between one of the investigated second-generation antipsychotics and weight gain. Therefore, prescriptions may be accompanied by strict guidelines for nutritional monitoring and metabolic control interventions.

Prevalence of Metabolic Syndrome and Its Association With Clinical Correlates and Caregiver Burden in Patients With Bipolar Disorder at a Tertiary Hospital

INTRODUCTION

Metabolic syndrome is a cluster of metabolic abnormalities, including obesity, insulin resistance, dyslipidemia, and hypertension. The prevalence of metabolic syndrome is recognized to be high among patients with bipolar disorder. This study is relevant given the limited number of Indian studies exploring the prevalence of metabolic syndrome and its association with clinical correlates in bipolar patients. This research aims to inform clinicians about the need for timely interventions in diagnosing and managing metabolic syndrome in this population, which may contribute to significant morbidity and poor clinical outcomes.

METHODS

A cross-sectional study was conducted in the inpatient and outpatient units of the psychiatry department involving 83 subjects diagnosed with bipolar disorder. Informed consent was obtained, and sociodemographic and clinical data were collected. The National Cholesterol Education Program (NCEP)-Adult Treatment Panel III (ATP III) criteria were used to diagnose metabolic syndrome. The Young Mania Rating Scale (YMRS) and Hamilton Depression Rating Scale (HAM-D) were applied to assess the severity of manic and depressive episodes, respectively. The Suicide Behaviors Questionnaire-Revised (SBQ-R) was used to assess suicidal risk, and the Burden Assessment Schedule (BAS) was utilized to evaluate caregiver burden. Statistical significance was tested using the independent-sample t-test and Mann-Whitney U test for continuous variables, along with the chi-square test for categorical variables. A p-value of <0.05 was considered significant.

RESULTS

Metabolic syndrome was noted in 49 (59%) patients with bipolar disorder. Subjects with metabolic syndrome exhibited more severe manic episodes, had a higher number of lifetime episodes, were more likely to have a history of suicide attempts, and showed increased suicidal risk. Patients on polypharmacy were at higher risk of developing metabolic syndrome. Caregivers of patients with metabolic syndrome reported greater caregiver burden compared to those without the condition.

CONCLUSION

There is a high prevalence of metabolic syndrome in patients with bipolar disorder. Metabolic syndrome is associated with adverse prognostic factors, including a higher number of lifetime episodes, greater severity of manic episodes, and increased suicidality. This underscores the necessity for routine monitoring of blood and anthropometric parameters.

Risk factors, prevention and treatment of weight gain associated with the use of antidepressants and antipsychotics: a state-of-the-art clinical review

INTRODUCTION

People with severe mental illness have poor cardiometabolic health. Commonly used antidepressants and antipsychotics frequently lead to weight gain, which may further contribute to adverse cardiovascular outcomes.

AREAS COVERED

We searched MEDLINE up to April 2023 for umbrella reviews, (network-)meta-analyses, trials and cohort studies on risk factors, prevention and treatment strategies of weight gain associated with antidepressants/antipsychotics. We developed 10 clinical recommendations.

EXPERT OPINION

To prevent, manage, and treat antidepressant/antipsychotic-related weight gain, we recommend i) assessing risk factors for obesity before treatment, ii) monitoring metabolic health at baseline and regularly during follow-up, iii) offering lifestyle interventions including regular exercise and healthy diet based on patient preference to optimize motivation, iv) considering first-line psychotherapy for mild-moderate depression and anxiety disorders, v)choosing medications based on medications' and patient's weight gain risk, vi) choosing medications based on acute vs long-term treatment, vii) using effective, tolerated medications, viii) switching to less weight-inducing antipsychotics/antidepressants where possible, ix) using early weight gain as a predictor of further weight gain to inform the timing of intervention/switch options, and x) considering adding metformin or glucagon-like peptide-1 receptor agonists, or topiramate(second-line due to potential adverse cognitive effects) to antipsychotics, or aripiprazole to clozapine or olanzapine.

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.

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

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

High Prevalence of Metabolic Syndrome Among Adolescents and Young Adults With Bipolar Disorder

OBJECTIVE

Despite abundant literature demonstrating increased metabolic syndrome (MetS) prevalence and important clinical correlates of MetS among middle-age adults with bipolar disorder, little is known about this topic among adolescents and young adults early in their course of bipolar disorder. We therefore examined this topic in the Course and Outcome of Bipolar Youth (COBY) study.

METHODS

A cross-sectional, retrospective study was conducted of 162 adolescents and young adults (mean ± SD age = 20.8 ± 3.7 years; range, 13.6-28.3 years) with bipolar disorder (I, II, or not otherwise specified, based on DSM-IV) enrolled in COBY between 2000 and 2006. MetS measures (blood pressure, glucose, high-density lipoprotein cholesterol [HDL-C], triglycerides, and waist circumference), defined using the International Diabetes Federation criteria, were obtained at a single timepoint. Mood, comorbidity, and treatment over the 6 months preceding the MetS assessment were evaluated using the Longitudinal Interval Follow-Up Evaluation.

RESULTS

The prevalence of MetS in the sample was 19.8% (32/162). Low HDL-C (56.5%) and abdominal obesity (46.9%) were the most common MetS criteria. MetS was nominally associated with lower lifetime global functioning at COBY intake (odds ratio [OR] = 0.97, P = .06). MetS was significantly associated with percentage of weeks in full-threshold pure depression (OR = 1.07, P = .02) and percentage of weeks receiving antidepressant medications (OR = 1.06, P = .001) in the preceding 6 months. MetS was not associated with manic symptoms or medications other than antidepressants.

CONCLUSIONS

The prevalence of MetS in this sample was at least double compared to the general population. Moreover, MetS is associated with increased burden of depression symptoms in this group. Management of early-onset bipolar disorder should integrate strategies focused on modifying MetS risk factors.

Metabolic Effects of Antipsychotics on Adiposity and Insulin Sensitivity in Youths: A Randomized Clinical Trial

IMPORTANCE

Antipsychotic medications are commonly used to treat nonpsychotic disruptive behavioral disorders in youths.

OBJECTIVE

To characterize the metabolic effects of first exposure to antipsychotics in youths using criterion standard assessments of body composition and insulin sensitivity.

DESIGN, SETTING, AND PARTICIPANTS

This randomized clinical trial recruited antipsychotic-naive youths aged 6 to 18 years in the St Louis, Missouri, metropolitan area who were diagnosed with 1 or more psychiatric disorders and clinically significant aggression and in whom antipsychotic treatment was considered. Participants were enrolled from June 12, 2006, through November 10, 2010. Enrolled participants were randomized (1:1:1) to 1 of 3 antipsychotics commonly used in children with disruptive behavioral disorders and evaluated for 12 weeks. Data were analyzed from January 17, 2011, through August 9, 2017.

INTERVENTIONS

Twelve weeks of treatment with oral aripiprazole (n = 49), olanzapine (n = 46), or risperidone (n = 49).

MAIN OUTCOMES AND MEASURES

Primary outcomes included percentage total body fat measured by dual-energy x-ray absorptiometry (DXA) and insulin sensitivity in muscle measured via hyperinsulinemic clamps with stable isotopically labeled tracers. Secondary outcomes included abdominal adiposity measured by magnetic resonance imaging (MRI) and adipose and hepatic tissue insulin sensitivity measured via clamps with tracers.

RESULTS

The intention-to-treat sample included 144 participants (98 males [68.1%]; mean [SD] age, 11.3 [2.8] years); 74 (51.4%) were African American, and 43 (29.9%) were overweight or obese at baseline. For the primary outcomes, from baseline to week 12, DXA percentage total body fat increased by 1.18% for risperidone, 4.12% for olanzapine, and 1.66% for aripiprazole and was significantly greater for olanzapine than risperidone or aripiprazole (time by treatment interaction P < .001). From baseline to week 12, insulin-stimulated change in glucose rate of disappearance increased by 2.30% for risperidone and decreased by 29.34% for olanzapine and 30.26% for aripiprazole, with no significant difference across medications (time by treatment interaction, P < .07). This primary measure of insulin sensitivity decreased significantly during 12 weeks in the pooled study sample (effect of time, F = 17.38; P < .001). For the secondary outcomes from baseline to week 12, MRI measured abdominal fat increased, with subcutaneous fat increase significantly greater for olanzapine than risperdone or aripiprazole (time by treatment, P = .003). Behavioral improvements occurred with all treatments.

CONCLUSIONS AND RELEVANCE

Adverse changes in adiposity and insulin sensitivity were observed during 12 weeks of antipsychotic treatment in youths, with the greatest fat increases on olanzapine. Such changes, likely attributable to treatment, may be associated with risk for premature cardiometabolic morbidity and mortality. The results inform risk-benefit considerations for antipsychotic use in youths.

TRIAL REGISTRATION

ClinicalTrials.gov identifier: NCT00205699.

Improved Metabolic and Psychiatric Outcomes with Discontinuation of Atypical Antipsychotics in Youth Hospitalized in a State Psychiatric Facility

OBJECTIVES

To assess the impact of antipsychotic tapering and discontinuation on measures of metabolic functioning and psychiatric symptom severity in severely impaired youth hospitalized in a psychiatric state hospital.

METHODS

The study examined psychiatric and metabolic measures in 67 hospitalized children and adolescents (mean age 11.9; 56 with discontinued use of antipsychotics, 10 with continued use of antipsychotics, and 1 started on an antipsychotic) from admission to discharge.

RESULTS

Upon admission, 56 youth were tapered off of antipsychotic medications, started on other forms of pharmacotherapy (92.9% were started on medications used to treat attention-deficit/hyperactivity disorder), and received evidence-based behavioral programming and were ultimately discharged from the hospital. The mean duration of treatment was 228 days for the discontinuation group and 204 days for the continuation group. Significant decreases in body mass index [BMI; t(53) = 7.12, p = 0.0001] and BMI percentile [t(53) = 6.73, p = 0.0001] were found from admission to discharge in the antipsychotic discontinuation group. Changes in BMI, BMI percentile, or systolic blood pressure were not found in the group (n = 10) who were maintained on antipsychotics. Both groups experienced a significant increase in their Global Assessment of Functioning score [t(52) = 19.98, p = 0.0001 for discontinued; t(8) = 5.092, p = 0.001 for maintained]. Psychiatric symptom severity scores significantly improved in many subscales relevant to disruptive behaviors and mood disorders for those who were removed from the medications. For those maintained on the antipsychotics, there were fewer changes in psychiatric symptom scores.

CONCLUSION

Discontinuation of atypical antipsychotic medications in conjunction with tailoring treatment to presenting diagnoses resulted in metabolic and psychiatric symptom improvement among severely impaired state hospital inpatient youth. These results serve as a feasibility demonstration that discontinuation of antipsychotics does not provoke psychiatric destabilization, particularly among disruptive behavior disordered youth.

Development of Metabolic Syndrome in Drug-Naive Adolescents After 12 Months of Second-Generation Antipsychotic Treatment

OBJECTIVES

Mental illness is often accompanied by poor physical health and shorter life expectancy. Second-generation antipsychotics (SGAs) are suspected of increasing cardiovascular risk, possibly through development of metabolic syndrome (MetS), and the risk of adverse outcome is even higher if obesity or metabolic aberration starts in childhood or adolescence.

METHODS

Drug-naive adolescents were recruited after contact with an outpatient Psychosis Team. Changes relative to baseline in body mass index (BMI), waist circumference (WC), blood pressure (BP), fasting blood glucose (FBG), triglycerides (TG), and high-density lipoprotein (HDL) cholesterol were determined through regular follow-ups.

RESULTS

The sample included 35 SGA-naive patients aged 7-19 (mean: 15.5) with a diagnosis of psychosis. Over 12 months, the overall rate of MetS changed significantly (from 0% to 20% [p < 0.016]). There was a significant increase in BMI (18.4% [p < 0.001]), WC (14.3% [p < 0.001]), TG (25.2% [p = 0.039]), and FBG (3.6% [p = 0.038]), whereas there was a significant decrease in HDL (-11.5% [p < 0.001]). No significant change was found for BP. Compared with the 2014 Danish references BMI-for-age charts, after 12 months the participants' BMI had increased from 0.5 to 1.57 standard deviation (SD) above the 50th percentile for age and gender (p = 0.0001).

CONCLUSION

To our knowledge, this is the first study to include all the aspects of MetS in a sample of drug-naive adolescents followed over the first 12 months after starting SGA treatment. A significant shift in all parameters (except BP) toward MetS was found, presumably due to SGA use. Therefore, these adolescents will need proper follow-up, consisting of not only monitoring but also preventive measures to diminish these effects of SGA use.

Increased risk of chronic obstructive pulmonary disease in patients with bipolar disorder: A population-based study

BACKGROUND

We conducted this nationwide study to examine the prevalence and incidence of chronic obstructive pulmonary disease (COPD) among patients with bipolar disorder in Taiwan.

METHODS

We used a random sample of 766,427 subjects who were aged ≥18 years in 2005. Patients with at least one primary diagnosis of bipolar disorder were identified. Study participants with one primary or secondary diagnosis of COPD for either ambulatory or inpatient care were also identified. We compared the prevalence of COPD in patients with bipolar disorder and the general population in 2005. In addition, we further investigated this cohort from 2006 to 2010 to detect incident cases of COPD in patients with bipolar disorder compared with the general population. The factors associated with COPD among patients with bipolar disorder were also analyzed.

RESULTS

The prevalence of COPD in patients with bipolar disorder was higher than in the general population in 2005 (5.68% vs. 2.88%, odds ratio 2.03; 95% confidence interval, 1.53-2.67). The average annual incidence of COPD in patients with bipolar disorder was also higher than in the general population (2.03% vs. 1.03%, risk ratio 1.94; 95% confidence interval, 1.65-2.29) from 2006 to 2010.

LIMITATIONS

Some risk factors for COPD such as substance use, obesity, or lifestyle pattern were not available in this study.

CONCLUSIONS

Patients with bipolar disorder had a higher prevalence and incidence of COPD compared with the general population. Higher prevalence of COPD among bipolar patients was associated with increased age, males, hypertension, and second-generation antidepressant use.

A 52-Week Study of Olanzapine with a Randomized Behavioral Weight Counseling Intervention in Adolescents with Schizophrenia or Bipolar I Disorder

OBJECTIVES

To evaluate the 52-week safety/tolerability of oral olanzapine for adolescents with schizophrenia or bipolar mania and compare effectiveness of a standard versus intense behavioral weight intervention in mitigating risk of weight gain.

METHODS

Patients 13-17 years old with schizophrenia (Brief Psychiatric Rating Scale for Children [BPRS-C] total score >30; item score ≥3 for hallucinations, delusions, or peculiar fantasies) or bipolar I disorder (manic or mixed episode; Young Mania Rating Scale [YMRS] total score ≥15) received open-label olanzapine (2.5-20 mg/day) and were randomized to standard (n = 102; a single weight counseling session) or intense (n = 101; weight counseling at each study visit) weight intervention. The primary outcome measure was mean change in body mass index (BMI) from baseline to 52 weeks using mixed-model repeated measures. Symptomatology was also assessed.

RESULTS

No statistically significant differences between groups were observed in mean baseline-to-52-week change in BMI (standard: +3.6 kg/m²; intense: +2.8 kg/m²; p = 0.150) or weight (standard: +12.1 kg; intense: +9.6 kg; p = 0.148). Percentage of patients at endpoint who had gained ≥15% of their baseline weight was 40% for the standard group and 31% for the intense group (p = 0.187). Safety/tolerability results were generally consistent with those of previous olanzapine studies in adolescents, with the most notable exception being the finding of a mean decrease in prolactin. On symptomatology measures, patients with schizophrenia had a mean baseline-to-52-week change in BPRS-C of -32.5 (standard deviation [SD] = 10.8), and patients with bipolar disorder had a mean change in YMRS of -16.7 (SD = 8.9), with clinically and statistically significant improvement starting at 3-4 days for each.

CONCLUSIONS

Long-term weight gain was high in both groups, with no statistically significant differences between the standard or intense behavioral weight interventions in BMI or weight. Safety, tolerability, and effectiveness findings were generally consistent with the known profile of olanzapine in adolescents.

Neurological Adverse Effects of Antipsychotics in Children and Adolescents

OBJECTIVE

The aim of this study was to evaluate demographic, clinical, and treatment factors that may impact on neurological adverse effects in naive and quasi-naive children and adolescents treated with antipsychotics.

METHODS

This was a 1-year, multicenter, observational study of a naive and quasi-naive pediatric population receiving antipsychotic treatment. Two subanalyses were run using the subsample of subjects taking the 3 most used antipsychotics and the subsample of antipsychotic-naive subjects. Total dyskinesia score (DyskinesiaS) and total Parkinson score (ParkinsonS) were calculated from the Maryland Psychiatric Research Center Involuntary Movement Scale, total UKU-Cognition score was calculated from the UKU Side Effect Rating Scale. Risk factors for tardive dyskinesias (TDs) defined after Schooler-Kaine criteria were studied using a logistic regression.

RESULTS

Two hundred sixty-five subjects (mean age, 14.4 [SD, 2.9] years) with different Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition Axis I disorders were recruited. DyskinesiaS (P < 0.001) and ParkinsonS (P < 0.001) increased at 1-year follow-up. Risperidone was associated with higher increases in DyskinesiaS compared with quetiapine (P < 0.001). Higher increases in ParkinsonS were found with risperidone (P < 0.001) and olanzapine (P = 0.02) compared with quetiapine. Total UKU-Cognition Score decreased at follow-up. Findings were also significant when analyzing antipsychotic-naive subjects. Fifteen subjects (5.8%) fulfilled Schooler-Kane criteria for TD at follow-up. Younger age, history of psychotic symptoms, and higher cumulative exposure time were associated with TD at follow-up.

CONCLUSIONS

Antipsychotics increased neurological adverse effects in a naive and quasi-naive pediatric population and should be carefully monitored. Risperidone presented higher scores in symptoms of dyskinesia and parkinsonism. Quetiapine was the antipsychotic with less neurological adverse effects. Younger subjects, psychosis, and treatment factors predicted an increased risk of TD.

Atypical antipsychotic initiation and the risk of type II diabetes in children and adolescents

PURPOSE

To estimate the risk of type II diabetes (T2DM) in children and adolescents initiating atypical antipsychotic (AAP) therapy.

METHODS

We conducted a retrospective cohort study using a new user design approach. Medical and pharmacy claims data between 1 January 2007 and 31 December 2009 for dependents ages 4 to 18 from an employed, commercially insured population from across the USA were included. AAP exposure was defined in the presence of a pharmacy claim preceded by at least six months of AAP-free history. We used propensity score (PS) methodology to identify and match incident AAP users and non-users. New-onset T2DM, was defined based on medical and pharmacy claims. Follow-up was extended until the date of new-onset T2DM or the end of the study period. The risk of T2DM was evaluated in an intent to treat fashion using the Kaplan-Meier estimator and Cox proportional hazard regression that provided hazard ratio (HR) and associated 95% confidence interval (CI).

RESULTS

Our study population included 6236 new AAP users and 22 080 non-users. In this PS-matched sample, the estimated risk of T2DM was twice as high in AAP users as non-users (HR 2.18, 95% CI 1.45-3.29). Noticeable risk differences between AAP-treated and control groups materialized within four months of AAP initiation and became constant after six months until the end of the follow-up.

CONCLUSIONS

Children and adolescents who were prescribed an AAP medication had a two times higher risk of developing T2DM; our study raises questions about continued AAP use in children and adolescents.

Risk factors for weight gain and metabolic syndrome in adolescents with psychiatric disorders: a historical prospective study

OBJECTIVE

Adolescents with mental disorders are at increased risk for being overweight or obese, and subsequently developing metabolic syndrome. However, data regarding risk factors for weight gain during psychiatric hospitalization of adolescents are limited and inconsistent. The aim of this study was to investigate the sociodemographic, clinical, and pharmacological risk factors for weight gain during psychiatric treatment, in order to improve prevention of subsequent metabolic syndrome.

METHODS

We conducted a historical prospective study of 146 adolescent patients (mean age 15.2±1.9 years, 52.7% males), consecutively admitted for day treatment in an adolescent day unit (length of stay 141±76 days). Anthropometric measurements and laboratory analyses of fasting glucose and lipid levels were conducted as part of the routine medical care at admission and discharge. Psychiatric diagnoses, medication histories, and sociodemographic data were obtained from the electronic medical records system.

RESULTS

A significant increase in age- and gender adjusted body mass index (BMI) (i.e., z score) was observed (0.5±1.2 vs. 0.7±1.1 at admission and discharge, respectively, p<0.001). Male subjects were more prone to weight gain than females (odds ratio [OR]=3.5, 95% CI=1.2-10.3) and BMI z score at admission was inversely associated with weight gain (R (2)=0.2, p<0.0001). Surprisingly, age at admission, psychiatric diagnoses, length of stay, and number of medications were not associated with weight gain. Despite weight gain, fasting blood glucose and lipid profile did not change significantly during the study period.

CONCLUSIONS

Hospitalization of adolescents in a psychiatric day unit may be associated with a significant weight gain, especially in male subjects and those with normal weight at admission. Efforts should be aimed to reduce weight gain among youth with psychiatric disorders during treatment, to avoid a subsequent metabolic syndrome.

Some side effects and effcts on physical activity of second-generation antipsychotics: A study in children and adolescents

Background:

This study was designed to investigate the metabolic adverse effects (AEs) of second-generation antipsychotics (SGAs) and their relationship with physical activity and non-metabolic AE in children and adolescents.

Materials and Methods:

After exclusion of patients with metabolic syndrome, 62 patients (34 children, 28 adolescents) of both genders who were candidates for SGA therapy were selected. Metabolic parameters included fasting blood glucose (FBG), triglyceride (TG), blood pressure (BP), and waist circumference (WC); non-metabolic AEs and physical activity were evaluated at baseline, 1 month, and 3 months after starting the treatment.

Results:

Mean of post-treatment FBG and TG were significantly higher than the baseline values (P < 0.0001). Compared to the baseline value, significantly more patients developed abnormally high (AbH) FBG at the end point (P = 0.02). There was no significant difference in the frequency of patients with AbH-FBG either at the baseline or at the end point (P > 0.05). The frequency of patients with AbH-TG at the end point was not significantly higher than those with baseline AbH-TG (P = 0.10). Although no patient was obese at baseline, 11 (18%) patients developed abdominal obesity at the end point (P < 0.0001). There was no significant difference in the frequency of non-metabolic AE (P > 0.05). There was no significant correlation between metabolic and non-metabolic AE (P > 0.05). Frequency of inactive patients was significantly more than the baseline value (P-0.008), and abdominal obesity was significantly more prevalent in less active participants (P = 0.03).

Conclusion:

The present study showed the AE of SGA on FBG and TG, but no effect on BP and WC. We also found that children are more prone to develop abnormally high FBG.

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.

Second-generation antipsychotic use in children and adolescents: a six-month prospective cohort study in drug-naïve patients

OBJECTIVE

To assess weight and metabolic effects of 6 months of treatment with second-generation antipsychotics in naïve/quasi-naïve youths.

METHOD

This study looked at a nonrandomized, naturalistic, multicenter, inception cohort study of 279 patients aged 4 to 17 years (mean = 14.6 ± 2.9 years). Of those, 248 (88.8%) received a single antipsychotic (risperidone, olanzapine, or quetiapine) and completed 2 visits, and 178 (63.8%) completed the 6-month follow-up. Patients had schizophrenia-spectrum disorders (44.5%), mood-spectrum disorders (23.2%), disruptive behavioral disorders (17.3%), or other disorders (15.1%). Fifteen age- and gender-matched, healthy, nonmedicated individuals served as a comparison group.

RESULTS

From baseline to 1 month, 3 months, and 6 months, all anthropometric measures increased significantly with each antipsychotic, that is, 6-month changes with risperidone (n = 157; 7.1 kg and 0.66 body mass index [BMI] z score), olanzapine (n = 44; 11.5 kg and 1.08 BMI z score), and quetiapine (n = 47; 6.3 kg and 0.54 BMI z score), but not in healthy control participants (-0.11 kg and 0.006 BMI z score). Fasting metabolic parameters increased significantly with risperidone (glucose [3.8] mg/dL, insulin [4.9] mU/L, homeostasis model assessment of insulin resistance [HOMA-IR: 1.2], triglycerides [15.6] mg/dL), and olanzapine (glucose [5.0] mg/dL, total cholesterol [21.2] mg/dL, and low-density lipoprotein cholesterol [44.6] mg/dL), but not with quetiapine or in healthy control participants. The percentage of research participants considered to be "at risk of adverse health outcome" increased during the 6 months from 8.9% to 29.2% for risperidone (p < .0001), 6.8% to 38.1% for olanzapine (p < .0001), and 6.3% to 4.0% for quetiapine (p = .91).

CONCLUSION

Olanzapine, quetiapine, and risperidone increase body weight but have different cardiometabolic side effect profiles and different temporal side effect patterns.

Practitioner review: Long-term pharmacological treatment of pediatric bipolar disorder

BACKGROUND

Although long-term treatment is a core aspect of the management of children and adolescents with bipolar disorder (BD), most clinical recommendations are based on results from short-term studies or adult data. In order to guide clinical practice, we review the efficacy and safety profile of mood stabilizers, antipsychotics, and other pharmacological strategies for the long-term treatment of BD in pediatric patients.

METHODS

A MEDLINE, EMBASE, Cochrane and PsycInfo search (inception through November 2013) was performed to identify prospective studies longer than 12 weeks assessing the use of pharmacological strategies for the long-term treatment of BD in pediatric patients (0-18 years of age).

RESULTS

Four randomized controlled trials (RCT) [three placebo-controlled (assessing aripiprazole (2) and flax oil), and one head-to-head comparison of lithium vs. divalproex], and thirteen noncontrolled studies (six open-label studies assessing lithium or anticonvulsants, five assessing second-generation antipsychotics (SGAs) and four assessing combination strategies) were included in the review. Aripiprazole has shown efficacy for relapse prevention in children with pediatric bipolar disorder (PBD) 4-9 years of age in one placebo-controlled RCT. Positive results have been reported in noncontrolled studies with quetiapine and lithium for relapse prevention, as well as with lithium, quetiapine, ziprasidone, and the combination of risperidone and divalproex or lithium for long-term symptom reduction in PBD. The most frequently reported adverse events in children and adolescents treated with lithium and anticonvulsants are gastrointestinal and neurological, whereas use of SGAs is mainly related to weight gain and sedation.

CONCLUSION

According to the limited empirical evidence, aripiprazole can be useful for relapse prevention in children with PBD. Given the lack of consistent efficacy data, clinical decision making should be based on individual clinical aspects and safety concerns.

Polypharmacy with antidepressants in children and adolescents

The aim of this study was to review current epidemiological data on the use of antidepressants in co-prescription with other psychotropic drugs in children and adolescents, as well as available efficacy and safety information. A Medline search from inception until February 2012 was performed to identify epidemiological and clinical studies, reviews and reports containing potentially relevant information on polypharmacy with antidepressants in young people. There has been an increase in polypharmacy in children and adolescents involving antidepressants in recent years. Antidepressants have become one of the drug classes most frequently prescribed in combination and are commonly co-prescribed with stimulants and antipsychotics. Most information regarding efficacy and safety of polypharmacy patterns was provided by case series and open-label studies. Efficacy studies gave some support for the use of a combination of antidepressants and antipsychotics in the management of refractory obsessive-compulsive disorder and some residual symptoms in major depressive disorder. Even less empirical support was found for a combination of stimulants and antidepressants in co-morbid attention deficit hyperactivity disorder and mood or anxiety disorders. Adverse events were similar to those found with individual medication groups, with severe adverse events mostly reported by individual case reports. The use of polypharmacy with antidepressants has become a regular practice in clinical settings. Although there is still little efficacy and safety information, preliminary evidence points to the potential clinical usefulness of some polypharmacy patterns. Further research on patients with co-morbidities or more severe conditions is needed, in order to improve knowledge of this issue.

Metabolic effects of antipsychotics in prepubertal children: a retrospective chart review

OBJECTIVE

Antipsychotics, especially atypical ones, are in common use in children and adolescents with psychotic or affective spectrum disorders, as well as in various other psychopathologies. The adverse effects of atypical antipsychotics in children and adolescents are similar to those seen in adults, and include weight gain, elevated blood glucose levels, and hyperlipidemia. In this retrospective chart review, we compared these adverse events in children who were treated with typical, atypical, or no antipsychotic treatment.

METHODS

The medical charts of 72 children, 65 boys and 7 girls, were reviewed. All children were 6-13 years old (mean age 9.5±1.7 years). In total, 48 children received antipsychotic treatment, and 24 children were in the control group. Data were extracted from the medical charts, including weight, height, body mass index (BMI), blood pressure, aspartate transaminase (AST), alanine transaminase (ALT), triglycerides, total cholesterol, and glucose blood levels. We examined the values in the beginning of the antipsychotic treatment and at release from the hospital in the study group, and at admission and in the end of the drug-free period or at release from the hospital (a duration of at least 4 weeks) in the control group.

RESULTS

The average weight gain was 3.9±3.8 kg in the atypical antipsychotic treatment (AAT) group, 1.1±4.4 kg in the typical antipsychotic treatment (TAT) group, and 0.23±2.9 kg in the control group. The average increase in BMI was 15.1±22.0 percentiles in the AAT group, 6.4±14.2 percentiles in the TAT group, and 1.6±12.5 percentiles in the control group. No statistically significant difference was found in the increase in height percentile. There were no significant differences in the rates of elevated values of serum triglycerides, cholesterol, AST, ALT, or fasting blood glucose.

CONCLUSIONS

We found a significant increase in both absolute weight gain and BMI percentile following atypical antipsychotic treatment. In contrast, typical antipsychotic treatment did not affect weight gain significantly, and the same was true for the control group. In addition, the rates of elevated values of biochemical parameters (AST, ALT, total cholesterol, triglycerides, and fasting blood glucose levels) were very low at the beginning of the study, and were not significantly altered by the various treatments.

Characteristics, symptomatology and naturalistic treatment in individuals at-risk for bipolar disorders: baseline results in the first 180 help-seeking individuals assessed at the Dresden high-risk project

BACKGROUND

Considering results from the early recognition and intervention in psychosis, identification and treatment of individuals with at-risk states for the development of bipolar disorders (BD) could improve the course and severity of illness and prevent long-term consequences. Different approaches to define risk factors and groups have recently been published, data on treatment options are still missing.

METHODS

Help-seeking persons at the early recognition center in Dresden, Germany, were assessed with a standardized diagnostic procedure including following risk factors for BD: familial risk, increasing mood swings, subsyndromal (hypo)manic symptoms, specific sleep and circadian rhythm disturbances, anxiety/fearfulness, affective disorder, decreased psychosocial functioning, increasing periodic substance use, and attention-deficit/hyperactivity disorder. Based on symptomatology and current and/or life-time psychiatric diagnosis, subjects with an at-risk state were offered individual treatment options.

RESULTS

Out of 180 referred and screened persons, 29 (16%) met criteria for at-risk state for BD. Altogether, 27 (93%) at-risk individuals fulfilled criteria for a current and/or life-time mental illness other than BD; 14 (48%) had received pharmacological and/or psychotherapeutic treatment in the past. Treatments recommended included psychoeducation (100%), psychotherapy alone (62%), pharmacotherapy alone (17%), and psychotherapy+pharmacotherapy (14%).

CONCLUSIONS

To identify at-risk states for BD, a multifactorial approach including all known risk markers should be used. As most at-risk patients meet criteria for other mental disorders, the short- and long-term impact of different treatment strategies on symptomatic, functional and diagnostic outcomes requires detailed investigation.

LIMITATIONS

Small sample size of at-risk individuals, lack of sufficient prospective data and control groups.

Weight considerations in psychotropic drug prescribing and switching

Our review describes potential weight-altering effects of psychotropic medications (antipsychotics, antidepressants, anti-anxiety medications, mood stabilizers, sedative-hypnotics, medications for attention-deficit/hyperactivity disorder, and other psychotropic medications) and offers guidance on switching a medication if its weight-altering effect becomes problematic. For second-generation antipsychotics, the risk of weight gain is high with clozapine and olanzapine, low with amisulpride, aripiprazole, and ziprasidone, and medium with other second-generation antipsychotics. Switching from a high-risk antipsychotic to a low-risk antipsychotic usually mitigates or reverses weight gain. For second-generation antidepressants, there may be modest weight loss with bupropion and modest weight gain with mirtazapine and paroxetine. Other second-generation antidepressants are weight neutral but individual variations can occur. If significant change in weight occurs, switching to or adding a low-risk second-generation antidepressant should be considered. Mood stabilizers include lithium, valproate, carbamazepine, lamotrigine, oxcarbazepine, and most second-generation antipsychotics. Risk of weight gain is high with lithium and valproate and low with carbamazepine, lamotrigine, and oxcarbazepine. Given the complexity of bipolar disorder and its management, a switch of a mood stabilizer would be best done by a psychiatrist. Benzodiazepines, non-benzodiazepine and melatonergic hypnotics, doxepin, and trazodone are weight neutral. Diphenhydramine may cause weight-gain and can be switched to a weight-neutral hypnotic if needed. Stimulants can cause varying degrees of weight loss and switching to atomoxetine or bupropion may reverse this problem. If that fails, switching to clonidine or guanfacine can be tried. Switching must be evidence-based and take into account status of the condition being treated, efficacy, side effect profile, potential drug-drug interactions, required laboratory monitoring and cost of the drug(s) being considered, and patient's pregnancy status or plan. Non-pharmacological interventions both for mental disorders and overweight/obesity must be fully availed.

Safety, tolerability, and efficacy of quetiapine in youth with schizophrenia or bipolar I disorder: a 26-week, open-label, continuation study

OBJECTIVE

The purpose of this study was to describe the safety, tolerability, and efficacy of quetiapine monotherapy continued for up to 26-weeks in youth with schizophrenia or bipolar I disorder.

METHODS

Medically healthy boys and girls with a baseline Diagnostic and Statistical Manual of Mental Disorders, 4th ed. (DSM-IV-TR) diagnosis of schizophrenia (ages 13-17 years) or a manic episode of bipolar I disorder (ages 10-17 years) who participated in one of two acute, double-blind, placebo-controlled studies of immediate-release quetiapine were potentially eligible to enroll in a 26-week, open-label study. During the open-label study, quetiapine was flexibly dosed at 400-800 mg/day, with options to reduce dosing to 200 mg/day based on tolerability. Safety and tolerability outcomes assessed from open-label baseline to week 26 included adverse events (AEs), metabolic/laboratory parameters, extrapyramidal symptoms, suicidality, and vital signs.

RESULTS

Of 381 patients enrolled in the open-label study (n=176, schizophrenia; n=205, bipolar disorder diagnosis), 237 patients (62.2%) completed the 26-week study period (71.0%, schizophrenia; 54.6%, bipolar disorder). The most common AEs reported during the study included somnolence, headache, sedation, weight increase, and vomiting. A total of 14.9% of patients experienced a shift to potentially clinically significant low levels of high-density lipoprotein cholesterol and 10.2% of patients experienced a shift to potentially clinically significant high triglyceride levels. Weight gain ≥ 7% was reported in 35.6% of patients between open-label baseline and final visit. After adjustment for normal growth, 18.3% of study participants experienced clinically significant weight gain (i.e., increase in body mass index ≥ 0.5 standard deviations from baseline).

CONCLUSIONS

In this 26-week study, quetiapine flexibly dosed at 400-800 mg/day, with options to reduce dosing based on tolerability, was generally safe and well tolerated in youth. Clinicians should monitor lipid profiles and weight gain in youth with schizophrenia or bipolar disorder during treatment with quetiapine.

Weight gain and increase of body mass index among children and adolescents treated with antipsychotics: a critical review

We performed an updated review of the available literature on weight gain and increase of body mass index (BMI) among children and adolescents treated with antipsychotic medications. A PubMed search was conducted specifying the following MeSH terms: (antipsychotic agents) hedged with (weight gain) or (body mass index). We selected 127 reports, including 71 intervention trials, 42 observational studies and 14 literature reviews. Second-generation antipsychotics (SGAs), in comparison with first-generation antipsychotics, are associated with a greater risk for antipsychotic-induced weight gain although this oversimplification should be clarified by distinguishing across different antipsychotic drugs. Among SGAs, olanzapine appears to cause the most significant weight gain, while ziprasidone seems to cause the least. Antipsychotic-induced BMI increase appears to remain regardless of the specific psychotropic co-treatment. Children and adolescents seem to be at a greater risk than adults for antipsychotic-induced weight gain; and the younger the child, the higher the risk. Genetic or environmental factors related to antipsychotic-induced weight gain among children and adolescents are mostly unknown, although certain genetic factors related to serotonin receptors or hormones such as leptin, adiponectin or melanocortin may be involved. Strategies to reduce this antipsychotic side effect include switching to another antipsychotic drug, lowering the dosage or initiating treatment with metformin or topiramate, as well as non-pharmacological interventions. Future research should avoid some methodological limitations such as not accounting for age- and sex-adjusted BMI (zBMI), small sample size, short period of treatment, great heterogeneity of diagnoses and confounding by indication.

Association between second-generation antipsychotics and changes in body mass index in adolescents

PURPOSE

To assess the association of second-generation antipsychotics (SGAs) with changes in body mass index (BMI) among adolescents compared with a matched untreated comparison group.

METHODS

A retrospective cohort study was conducted using an electronic medical record database between January 2004 and July 2009. Adolescents (12-19 years old), newly initiated on SGAs formed the exposure group and untreated adolescents formed the comparison group matched (3:1) to the antipsychotic group based on age, gender, and month of index SGA. Both the exposure and comparison groups were followed for slightly more than a year (395 days). Baseline and follow-up BMI were evaluated for both groups and percentage change from baseline BMI to follow-up BMI was calculated. Multivariate linear regression was conducted to assess the impact of SGAs on percent change in follow-up BMI from baseline controlling for demographic characteristics, baseline medications, comorbidities, and other covariates.

RESULTS

The mean percentage increase in follow-up BMI from baseline for antipsychotic group was significantly higher than the comparison group (p < .01). After adjusting for covariates, adolescents on olanzapine had the highest percentage increase in follow-up BMI from baseline (5.84%, 95% confidence interval [CI], 4.07-7.61) followed by aripiprazole (4.36%; 95% CI, 3.08-5.64), risperidone (3.65%; 95% CI, 2.61-4.68), and quetiapine (1.53%; 95% CI, .53-2.52) compared with the comparison group.

CONCLUSION

This study further validates a growing concern of increased BMI in adolescents on SGA therapy.

Reduced serum paraoxonase 1 (PON1) activity in patients with schizophrenia treated with olanzapine but not quetiapine

BACKGROUND

Second generation antipsychotics (SGAs) are currently the most prescribed drugs in the treatment of schizophrenia. Despite their advantages, which include greater improvement in negative symptoms, cognitive function, prevention of deterioration, quality of life, and fewer extrapyramidal symptoms, the concern regarding metabolic abnormalities which might cause cardiovascular diseases during treatment with SGAs have been rising. Paraoxonase 1 (PON1) is an enzyme mostly located on high-density lipoprotein particles, and has been shown to protect or inhibit lipoprotein oxidation. Growing evidence suggests that PON1 plays a key role in the pathophysiology of atherosclerosis.

METHODS

In the present study, we measured serum PON1 activity and serum levels of total cholesterol (TC), triglyceride, high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) in patients with schizophrenia, who had been treated with either olanzapine or quetiapine, and in healthy controls. Thirty five patients who had been treated with olanzapine, 29 patients who had been treated with quetiapine, and 32 age, sex, and smoking status-matched healthy control (HC) participants were enrolled. Serum PON1 activity and serum levels of TC, triglyceride, HDL-C, and LDL-C were measured.

RESULTS

Serum PON1 activity in the olanzapine group was significantly lower than that of HC and quetiapine groups. Furthermore, serum levels of TC and LDL-C in the olanzapine group were significantly higher than those of quetiapine and HC groups. Interestingly, there was a positive correlation between PON1 activity and HDL-C levels in the olanzapine group.

CONCLUSION

These findings suggest that serum PON1 activity in patients treated with olanzapine was lower than that of HC and quetiapine groups, and that PON1 may play a role in the metabolic side effects associated with olanzapine treatment. A further study to examine the relationship between serum PON1 activity and cardiovascular and metabolic side effects during treatment with SGAs will be of great interest.

Omega-3 fatty acid deficiency augments risperidone-induced hepatic steatosis in rats: positive association with stearoyl-CoA desaturase

Psychiatric patients frequently exhibit long-chain n-3 (LCn-3) fatty acid deficits and elevated triglyceride (TAG) production following chronic exposure to second generation antipsychotics (SGAs). Emerging evidence suggests that SGAs and LCn-3 fatty acids have opposing effects on stearoyl-CoA desaturase-1 (SCD1), which plays a pivotal role in TAG biosynthesis. Here we evaluated whether low LCn-3 fatty acid status would augment elevations in rat liver and plasma TAG concentrations following chronic treatment with the SGA risperidone (RSP), and evaluated relationships with hepatic SCD1 expression and activity indices. In rats maintained on the n-3 fatty acid-fortified (control) diet, chronic RSP treatment significantly increased liver SCD1 mRNA and activity indices (18:1/18:0 and 16:1/16:0 ratios), and significantly increased liver, but not plasma, TAG concentrations. Rats maintained on the n-3 deficient diet exhibited significantly lower liver and erythrocyte LCn-3 fatty acid levels, and associated elevations in LCn-6/LCn-3 ratio. In n-3 deficient rats, RSP-induced elevations in liver SCD1 mRNA and activity indices (18:1/18:0 and 16:1/16:0 ratios) and liver and plasma TAG concentrations were significantly greater than those observed in RSP-treated controls. Plasma glucose levels were not altered by diet or RSP, and body weight was lower in RSP- and VEH-treated n-3 deficient rats. These preclinical data support the hypothesis that low n-3 fatty acid status exacerbates RSP-induced hepatic steatosis by augmenting SCD1 expression and activity.

Adverse effects of second-generation antipsychotics in children and adolescents: a Bayesian meta-analysis

In adults, second-generation antipsychotics (SGAs) have a low frequency of extrapyramidal syndrome (EPS) and a moderate frequency of metabolic adverse effects. Here we aimed to assess short-term adverse effects of SGAs in children and adolescents. We searched for relevant studies in MEDLINE and EMBASE (1996-2010), Food and Drug Administration and European Medicines Agency clinical trial registries, and reference lists of review articles. We found 41 were short-term (3-12 weeks) controlled studies that evaluated SGA adverse effects in youths. Using Bayesian meta-analysis, we analyzed odds ratios (ORs) or mean average effects. Numbers of arms (subjects) in the 41 trials were aripiprazole, 10 (n = 671); olanzapine, 14 (n = 413); quetiapine, 10 (n = 446); risperidone, 25 (n = 1040); ziprasidone, 4 (n = 228); clozapine, 5 (n = 79); and placebo/untreated, 23 (n = 1138), totaling 93 arms (4015 patients). Clozapine was assessed only for weight gain and somnolence. Compared with placebo, significant treatment-related increases were observed for weight gain with olanzapine (mean ± SD = 3.99 ± 0.42 kg; 95% credible interval, 3.17-4.84 kg), clozapine (2.38 ± 1.13 kg; 95% credible interval, 0.19-4.62 kg), risperidone (2.02 ± 0.32 kg; 95% credible interval, 1.39-2.66 kg), quetiapine (1.74 ± 0.38 kg; 95% credible interval, 0.99-2.5 kg), and aripiprazole (0.89 ± 0.32 kg; 95% credible interval, 0.26-1.51 kg); glucose levels with risperidone (3.7 ± 1.36 mg/dL; 95% credible interval, 1.08-6.42 mg/dL) and olanzapine (2.09 ± 1.08 mg/dL; 95% credible interval, 0.13-4.32 mg/dL); cholesterol levels with quetiapine (10.77 ± 2.14 mg/dL; 95% credible interval, 6.6-14.95 mg/dL) and olanzapine (4.46 ± 1.65 mg/dL; 95% credible interval, 1.24-7.73 mg/dL); triglyceride levels with olanzapine (20.18 ± 5.26 mg/dL; 95% credible interval, 9.85-30.53 mg/dL) and quetiapine (19.5 ± 3.92 mg/dL; 95% credible interval, 11.84-27.17 mg/dL); hyperprolactinemia with risperidone (OR, 38.63; 95% credible interval, 8.62-125.6), olanzapine (OR, 15.6; 95% credible interval, 4.39-41.1), and ziprasidone (OR, 9.35; 95% credible interval, 1.24-37.03); and EPS with ziprasidone (OR, 20.56; 95% credible interval, 3.53-68.94), olanzapine (OR, 6.36; 95% credible interval, 2.43-13.84), aripiprazole (OR, 3.79; 95% credible interval, 2.17-6.17), and risperidone (OR, 3.71; 95% credible interval, 2.18-6.02). All SGAs increased the risk of somnolence/sedation. We conclude that short-term metabolic effects and EPS are frequent in children treated with SGAs. Second-generation antipsychotics have distinct profiles of secondary effects, which should be considered in making treatment decisions.

Dietary habits of patients with schizophrenia: a self-reported questionnaire survey

The present study was carried out to determine the dietary habits of patients with schizophrenia and the influence of these habits on the degree of obesity. The study was developed in a sample of 159 patients, who were given a self-reported questionnaire, to ascertain the influence of socio-familiar aspects, pharmacological treatment, and dietary habits. Anthropometric measurements (body mass index (BMI) and waist circumference (WC)) were also taken. Patients with schizophrenia presented unhealthy dietary habits, as indicated by the finding that 51% of the patients took no longer than 15 min to eat, 40.8% did not eat fruit daily, and 63.1% did not eat fish. Women were three times more likely to be obese than men (odds ratio (OR) = 2.91, P = 0.021). Patients classified as having unhealthy dietary habits have a 2.33-fold higher risk of obesity than patients with good dietary habits (OR = 2.33, P = 0.034). In summary, this paper highlights the fact that patients with schizophrenia have a detrimental dietary pattern that is associated with an increase in BMI and WC, with the consequent development of obesity and related metabolic alterations, regardless of the pharmacological treatment being followed. Future research directions will include exploring the need for nutritional education programmes to improve the dietary habits of such patients.

Metabolic syndrome in bipolar disorders

To review the data with respect to prevalence and risk factors of metabolic syndrome (MetS) in bipolar disorder patients. Electronic searches were done in PUBMED, Google Scholar and Science direct. From 2004 to June 2011, 34 articles were found which reported on the prevalence of MetS. The sample size of these studies varied from 15 to 822 patients, and the rates of MetS vary widely from 16.7% to 67% across different studies. None of the sociodemographic variable has emerged as a consistent risk factor for MetS. Among the clinical variables longer duration of illness, bipolar disorder- I, with greater number of lifetime depressive and manic episodes, and with more severe and difficult-to-treat index affective episode, with depression at onset and during acute episodes, lower in severity of mania during the index episode, later age of onset at first manic episode, later age at first treatment for the first treatment for both phases, less healthy diet as rated by patients themselves, absence of physical activity and family history of diabetes mellitus have been reported as clinical risk factors of MetS. Data suggests that metabolic syndrome is fairly prevalent in bipolar disorder patients.

Differences in body mass index z-scores and weight status in a Dutch pediatric psychiatric population with and without use of second-generation antipsychotics

OBJECTIVE

Weight gain and metabolic adverse effects of second-generation antipsychotics (SGAs) have become a major concern, particularly in youth. However, the specific contribution of SGAs versus other medications or the underlying illness is unclear.

METHODS

In a chart review study of psychiatric outpatients aged ≤ 18 years treated with SGAs and psychiatric controls without lifetime SGA, use body mass index (BMI) z-scores between patients and controls were compared in the entire sample, patients without co-medications, diagnostic subgroups, and age subgroups. In patients with follow-up data, weight z-score change was calculated.

RESULTS

Altogether, 592 Caucasian patients aged 4-18 (mean: 10.0) years with a psychiatric diagnosis were included. BMI z-scores in 96 youth treated with SGAs for 9.0 ± 6.1 months were significantly higher than in 496 patients without lifetime SGA use (0.81 ± 1.1 vs. 0.05 ± 1.2; p<0.0001). BMI z-score differences remained significant in all age groups <16 years old. In sub-analyses, results remained the same after eliminating patients on any co-medication (0.82 ± 1.2 vs. 0.23 ± 1.2; p<0.0001) and in patients with (0.75 ± 1.2 vs. 0.17 ± 1.1, p<0.0001) or without autism spectrum disorders (1.1 ± 1.0 vs. -0.02 ± 1.2, p<0.0001). Significantly more SGA-treated youth were obese (27.1% vs. 9.5%, odds ratio [OR]: 3.55, 95% confidence interval [CI]:2.07-6.08) or overweight (21.9% vs. 8.3%, OR: 3.11, 95%CI: 1.75-5.52). In 24 patients (92.3% antipsychotic-naïve) with 6.6 months follow-up, weight z-score increased significantly from -0.17 ± 1.5 to 0.25 ± 1.4 (p<0.0001) with 12.5% transitioning to overweight or obese status.

CONCLUSION

These data show robust and significant differences in sex- and age-adjusted body weight and weight status in young pediatric Caucasian samples with and without use of SGAs independent of Diagnostic and Statistical Manual of Mental Disorders, 4th edition, Text Revision (DSM-IV-TR) (American Psychiatric Association 2000 ) diagnosis and nonantipsychotic medications. Weight status and metabolic effects of SGAs require careful attention, especially in youth.

Psychopathology, coronary heart disease and metabolic syndrome in schizophrenia spectrum patients with deficit versus non-deficit schizophrenia: findings from the CLAMORS study

The objective of this study was to compare coronary heart disease (CHD) risk and metabolic syndrome (MS) prevalence in patients with deficit (DS) and non-deficit schizophrenia treated with antipsychotics. A total of 1452 antipsychotic-treated outpatients meeting criteria for schizophrenia, schizophreniform or schizoaffective disorder were included in this cross-sectional multicentre study. CHD risk was assessed by SCORE (10-year cardiovascular death) risk score, and metabolic syndrome was assessed according to NCEP-ATP III criteria. A total of 1452 patients (863 men, 60.9%), 40.7±12.2years (mean±SD) were included. DS was found in 404 patients (35.1%). Patients with DS were older, more frequently male and obese, more likely to be receiving sickness benefits, and had longer illness duration and fewer previous hospitalisations. Furthermore, DS patients had higher negative PANSS scores (56.3% vs. 40.6% of patients with PANSS-N>21). High/very high risk of fatal CHD according to SCORE function (≥3%) was significantly higher in DS [11.8% (95% CI: 8.8-15.5) vs. 6.0% (95% CI: 4.4-8.1), (p<0.05)]. Schizophrenia spectrum patients with DS were more obese and had a higher CHD risk than non-deficit patients.

Clinical usefulness of second-generation antipsychotics in treating children and adolescents diagnosed with bipolar or schizophrenic disorders

The onset of severe, chronic or recurrent psychiatric illnesses, such as schizophrenia-spectrum and bipolar disorders, is a dramatic clinical event often detectable during adolescence and even in childhood. At any age, pharmacotherapy, along with enhancement of social skills and family support, is the mainstay for the management of such disorders. The aim of this review is to critically analyze findings from randomized controlled trials (RCTs) that have investigated the clinical utility of second-generation antipsychotics (SGAs) for the treatment of early-onset schizophrenia and bipolar disorders. Eighteen studies were considered, all of which were unfortunately impaired by methodologic limitations, such as the paucity of long-term data and lack of a three-arm comparison (SGA vs SGA vs placebo). Nevertheless, the results of this review allow us to suggest the effectiveness of three SGAs (aripiprazole, olanzapine, and risperidone) in the short-term treatment of both early-onset schizophrenia and bipolar mania, although such agents show different safety profiles. The use of clozapine should be strictly limited to patients with non-affective, psychotic symptoms who do not respond to any of these three SGAs. In contrast, the use of quetiapine and ziprasidone in young patients with either affective or non-affective psychosis is not yet supported by evidence-based information. Given our findings, further studies are urgently required to identify the best treatment option(s) for pediatric bipolar disorder (especially the depressive phase) and the long-term management of early-onset schizophrenia.

Efficacy and safety of second-generation antipsychotics in children and adolescents with psychotic and bipolar spectrum disorders: comprehensive review of prospective head-to-head and placebo-controlled comparisons

OBJECTIVE

To review data on efficacy and safety of second-generation antipsychotics (SGAs) in children and adolescents with psychotic and bipolar spectrum disorders.

METHODS

Medline/PubMed/Google Scholar search for studies comparing efficacy and/or tolerability: (i) between two or more SGAs; (ii) between SGAs and placebo; and (iii) between at least one SGA and one first-generation antipsychotic (FGA). The review focused on three major side-effect clusters: 1. body weight, body mass index, and cardiometabolic parameters, 2. prolactin levels, and 3. neuromotor side effects.

RESULTS

In total, 34 studies with 2719 children and adolescents were included. Studies lasted between 3 weeks and 12 months, with most studies (79.4%) lasting 3 months or less. Nine studies (n=788) were conducted in patients with schizophrenia, 6 (n=719) in subjects with bipolar disorder, and 19 (n=1212) in a mixed population. Data on efficacy showed that, except for clozapine being superior for refractory schizophrenia, there were no significant differences between SGAs. By contrast, safety assessments showed relevant differences between SGAs. Mean weight gain ranged from 3.8 kg to 16.2 kg in patients treated with olanzapine (n=353), from 0.9 kg to 9.5 kg in subjects receiving clozapine (n=97), from 1.9 kg to 7.2 kg in those on risperidone (n=571), from 2.3 kg to 6.1 kg among patients taking quetiapine (n=133), and from 0 kg to 4.4 kg in those treated with aripiprazole (n=451). Prolactin levels increased the most in subjects on risperidone (mean change ranging from 8.3 ng/mL to 49.6 ng/mL), followed by olanzapine (-1.5 ng/mL to +13.7 ng/mL). Treatment with aripiprazole was associated with decreased prolactin levels, while clozapine and quetiapine were found to be mostly neutral. With respect to neuromotor side effects, SGAs were associated with less parkinsonism and akathisia than FGAs. Most of the studies comparing neuromotor side effects between SGAs found no significant differences.

CONCLUSIONS

SGAs do not behave as a homogeneous group in children and adolescents with psychotic and mood disorders. Except for clozapine, the heterogeneity within the SGA group is mainly due to differences in the rates and severity of adverse events, especially regarding weight gain as a proxy for the risk of cardiometabolic disturbances.

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

Second-generation antipsychotics (SGA) are being used more often than ever before in children and adolescents with psychotic and a wide range of non-psychotic disorders. Several SGA have received regulatory approval for some paediatric indications in various countries, but off-label use is still frequent. The aim of this paper was to perform a systematic review and critically evaluate the literature on cardiometabolic and endocrine side-effects of SGA in children and adolescents through a Medline/Pubmed/Google Scholar search of randomized, placebo controlled trials of antipsychotics in children and adolescents (<18 years old) until February 2010. In total, 31 randomized, controlled studies including 3595 paediatric patients were identified. A review of these data confirmed that SGA are associated with relevant cardiometabolic and endocrine side-effects, and that children and adolescents have a high liability to experience antipsychotic induced hyperprolactinaemia, weight gain and associated metabolic disturbances. Only weight change data were sufficiently reported to conduct a formal meta-analysis. In 24 trials of 3048 paediatric patients with varying ages and diagnoses, ziprasidone was associated with the lowest weight gain (-0.04kg, 95% confidence interval [CI]: -0.38 to +0.30), followed by aripiprazole (0.79kg, 95% CI: 0.54 to 1.04], quetiapine (1.43kg, 95% CI: 1.17 to 1.69) and risperidone (1.76kg, 95% CI: 1.27 to 2.25) were intermediate, and olanzapine was associated with weight gain the most (3.45kg, 95% CI: 2.93 to 3.97). Significant weight gain appeared to be more prevalent in patients with autistic disorder who were also younger and likely less exposed to antipsychotics previously. These data clearly suggest that close screening and monitoring of metabolic side effects is warranted and that the least cardiometabolically problematic agents should be used first whenever possible. A good collaboration between child- and adolescent psychiatrists, general practitioners and paediatricians is essential to maximize overall outcomes and to reduce the likelihood of premature cardiovascular morbidity and mortality.

Metabolic syndrome in severe mental disorders

The concept of metabolic syndrome in psychiatry provides a united front for confronting a series of metabolic changes that are predictive of cardiovascular disease (CVD) and type 2 diabetes mellitus (T2DM), which are highly prevalent in severe mental disorders (SMDs), such as schizophrenia, bipolar disorders, and severe depression. This review attempts to answer the following questions: (1) Is there evidence of significantly increased risk of metabolic syndrome in SMDs? (2) How is this evidence explained by stress theory and functional polymorphism? (3) What role can psychopharmacology and psychosocial therapies play in minimizing the problem? We have done a historical review using related literature from Medline. Compared with the general population, metabolic syndrome is two to three times more common in SMDs. The evidence for this predates the era of antipsychotic drugs. Altered glucose metabolism and dyslipidemia seem to be integral to SMDs. However, major psychotropic drugs are associated with metabolic syndrome, because of their activity at the appetite-stimulating receptors. SMDs seem to trigger a pathogenic cycle that fuels metabolic syndrome. To explain these findings, a neural diathesis-stress model has been proposed. Furthermore, candidate genes associated with receptors for weight gain are implicated. Using metformin (≥750 mg/day) may significantly reduce metabolic risks, and the data support consideration of this intervention for psychiatric patients taking antipsychotics. The obstacles to the implementation of the available guidelines for monitoring metabolic effects and changing unhelpful lifestyles need to be overcome by making monitoring mandatory and integration of physical exercise into routine care. Drug development and genotyping for the risk factors are future solutions.