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

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

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

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

PURPOSE/BACKGROUND

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

PROCEDURES

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

FINDINGS/RESULTS

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

IMPLICATIONS/CONCLUSIONS

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

Evidence gaps on weight gain in people living with HIV: a scoping review to define a research agenda

BACKGROUND

Combined antiretroviral therapy (cART) dramatically improved survival in people living with HIV (PLWH) but is associated with weight gain (WG), raising concern for a possible obesity epidemic in PLWH. This scoping review aims to identify the gaps in the existing evidence on WG in PLWH and generate a future research agenda.

METHODS

This review was conducted according to the methodology for scoping studies and reported according to the PRISMA Extension for Scoping Review checklist. Articles published in English in the last 10 years indexed in Pubmed, WHO Global Index Medicus, or Embase were searched using specific queries focused on WG in PLWH.

RESULTS

Following the selection process, 175 included articles were reviewed to search for the available evidence on four specific topics: (I) definition of WG in PLWH, (II) pathogenesis of WG in PLWH, (III) impact of ART on WG, (IV) correlation of WG with clinical outcomes. A summary of the data enabled us to identify gaps and clearly define the following research agenda: (I) develop a data-driven definition of WG in PLWH and define noninvasive assessment methods for body weight and fat composition; (II) further investigate the interaction between HIV/cART and immunity, metabolism, and adipose tissue; (III) establish the specific role of individual drugs on WG; (IV) clarify the independent role of WG, cART, HIV, and metabolic factors on clinical events.

CONCLUSIONS

The proposed research agenda may help define future research and fill the knowledge gaps that have emerged from this review.

Relationship between weight gain and insulin resistance in people living with HIV switching to integrase strand transfer inhibitors-based regimens

OBJECTIVE

The primary objective was to explore weight and BMI changes in people with HIV (PWH) undergoing integrase strand transfer inhibitors (INSTI)-based regimens (vs. non-INSTI) in a large cohort and in the subsets of individuals without diabetes and insulin resistance (IR) at the time of switch to INSTI. The secondary objective was to identify risk factors for IR and cut-off of weight or BMI increase associated with IR in PWH switching to INSTI.

DESIGN

A longitudinal matched-cohort study including PWH attending Modena HIV Metabolic Clinic, Italy.

METHODS

PWH were divided into two groups: non-INSTI and INSTI-switch. The effect of switching to INSTI on weight and BMI change was tested through a linear mixed model. A mediation analysis explored the mediation effect of weight and BMI change in the association between the switch to INSTI and IR.

RESULTS

We analyzed 2437 PWH (1025 INSTI-switch, 1412 non-INSTI), in 54 826 weight assessments. Trends for weight increase were significantly higher in early-INSTI-switch (vs. early-non-INSTI), but no difference was observed in the late period after the switch. In the subset of 634 PWH without IR, switching to INSTI (vs. non-INSTI) was associated with a lower risk of IR (hazard ratio = 0.70, 95% confidence interval: 0.51, 0.98). A weight increase by 1% reduced the total protective effect of INSTI by 21.1% over 1 year of follow-up, which identifies a 5% weight increase as a clinically meaningful weight gain definition.

CONCLUSION

A cut-off of 5% weight gain from the time of INSTI-switch is associated with IR, which may be a clinically meaningful endpoint that could be used in clinical and research settings.

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.

Reversibility of psychotropic medication induced weight gain among children and adolescents with bipolar disorders

OBJECTIVE

To assess the reversibility of weight gain associated with psychotropic medications in children.

METHODS

A retrospective cohort study was conducted using an ambulatory electronic medical records database. Individuals under 18 years of age were identified if they were initiating a new course of second generation/atypical antipsychotics (SGA) or mood stabilizers (MS) following a bipolar disorder diagnosis and subsequently discontinued treatment within 24 months of treatment initiation.

RESULTS

Of the 297 children who had experienced positive BMI percentile increase (mean±SD: 8.71±11.94) during the treatment of SGA and/or MS, treatment discontinuation led to an average of 1.88 (±13.41) unit decrease in BMI percentile during a 12-month period since the treatment discontinuation. Repeated measure mixed model analysis showed that the reduction of BMI percentile after treatment discontinuation was neither associated with the treatment regimens patients previously received, nor associated with time since the treatment discontinuation. The three statistically significant predictors were baseline BMI percentile, BMI percentile gained during the treatment, and comorbid substance abuse disorder.

CONCLUSION

Children with bipolar disorder were able to lose a fraction of weight gained during pharmacotherapy after the treatment discontinuation, however, their BMI percentile may not return to the prior treatment level within a year post-medication discontinuation.

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.

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

OBJECTIVE

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

METHODS

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

RESULTS

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

CONCLUSION

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

Cardiovascular health promotion and consumers with mental illness in Australia

People with serious mental illness (SMI) have increased risk of cardiovascular disease and premature death, yet research on nurse-provided health promotion in mental health services remains under-developed. This paper informs efforts to improve the nursing role in physical health of consumers with SMI by establishing what nurse perceptions and background influence their care. Members of the Australian College of Mental Health Nursing were invited to participate in an online survey on their views on physical health care in mental health services. Survey questions included: (a) nurse-consumer collaboration in preventative care and (b) sub-sections of the Robson and Haddad Physical Health Attitude Scale to measure nurse perceived barriers to encouraging lifestyle change of consumers with SMI and frequency of nurse physical healthcare practices. Structural equation modelling was applied to investigate antecedents to physical health care, as well as relationships between antecedents. A national sample of 643 nurses reported regular engagement in health promotion (e.g. advice on diet). There was statistical support for a model depicting perceived consumer-nurse collaboration as a dual-determinant of nurse perceived barriers and self-reported health promotion to consumers with SMI. Perceived barriers to consumer lifestyle change did not predict health promotion. The effects of nurse-consumer collaboration were significant, but small. Perceived consumer-nurse collaboration in preventative care may positively influence the amount of health promotion by nurses in mental health. Perceived barriers to consumer adherence with a healthy lifestyle did not have an impact on nurse-delivered health promotion.

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.

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.