Antipsychotic Treatment Duration in Children and Adolescents: A Register-Based Nationwide Study

Medication adherence and attitudes in adolescent psychiatry: Key influences

Adolescents with mental illnesses often struggle with adhering to prescribed medication regimens. This study investigates how patient perceptions influence medication adherence among adolescents with psychiatric disorders. It also examines the role of patient characteristics and medication-related factors on adherence and attitudes. The Pediatric Medication Adherence Scale (PMAS)- 9 questions and the Pediatric Attitude toward Medication Scale (PAMS)- 18 questions, two reliable self-report scales designed for the adolescent population, were used to assess negative adherence behaviors and patients' perceptions of medication. Statistical analysis examined correlations between adherence, attitudes, and patient characteristics. The scales were administered to 288 adolescents with psychiatric disorders, and a significant correlation was found between concern scores and attitudes toward medication (r = 0.886, p < .05). Patients receiving monotherapy demonstrated lower concern scores and more positive attitudes (p < .05). Experiencing side effects was significantly linked to reduced medication adherence and more negative attitudes toward treatment. Patients with eating disorders demonstrated more negative attitudes, while those using antidepressant-antipsychotic combinations demonstrated more negative attitudes than those using stimulants. This study emphasizes the necessity of addressing critical factors that influence medication adherence and attitudes toward psychiatric medication among adolescents with psychiatric disorders. In particular, it highlights the importance of considering concern perception, managing side effects, and evaluating polypharmacy to optimize pharmacotherapy in this population.

Psychotropic drug use among children and adolescents in the Nordic countries: a systematic review

The Nordic countries have rather homogenous populations and similar health care systems, and one could therefore expect comparable levels of psychopathology and psychotropic drug use. However, recent studies show pronounced variations in psychotropic drug use among children and adolescents from different Nordic countries. Therefore, we aimed to conduct a systematic review of the literature examining the use of psychotropic drugs among children and adolescents in the Nordic countries. This review followed PRISMA guidelines. We searched PsycINFO, EMBASE and MEDLINE for population-based studies published 2010 or later that investigated prevalent or incident use of antidepressants, psychostimulants, antipsychotics, hypnotics, anxiolytics, and mood stabilizers among 0-19-year-olds in the Nordic countries. Two reviewers assessed all studies. Twenty-two out of 2142 eligible studies were included in the final review covering data collected from 1995 to 2018. The use of psychotropic drugs, except for anxiolytics, increased in most of the Nordic countries, but at different rates. Prevalent use of antidepressants was two to four times higher among Swedish children and adolescents compared to Danish and Norwegian peers. Prevalent use of psychostimulants, on the other hand, was two to sixfold higher in Iceland compared to the other Nordic countries. Finally, the prevalence of antipsychotic use was threefold higher in Finland compared to Sweden, Denmark, and Norway. This systematic review provides a thorough overview of psychotropic treatment of youths in the Nordic countries. We demonstrate a pronounced national variation in use of psychotropics that should be addressed further to facilitate rational pharmacotherapy in youths with psychiatric disorders.

Comparative physiological effects of antipsychotic drugs in children and young people: a network meta-analysis

BACKGROUND

The degree of physiological responses to individual antipsychotic drugs is unclear in children and adolescents. With network meta-analysis, we aimed to investigate the effects of various antipsychotic medications on physiological variables in children and adolescents with neuropsychiatric and neurodevelopmental conditions.

METHODS

For this network meta-analysis, we searched Medline, EMBASE, PsycINFO, Web of Science, and Scopus from database inception until Dec 22, 2023, and included randomised controlled trials comparing antipsychotics with placebo in children or adolescents younger than 18 years with any neuropsychiatric and neurodevelopmental condition. Primary outcomes were mean change from baseline to end of acute treatment in bodyweight, BMI, fasting glucose, total cholesterol, LDL cholesterol, HDL cholesterol, triglycerides, prolactin, heart rate, systolic blood pressure (SBP), and QT interval corrected for heart rate (QTc) for patients receiving either active treatment or placebo. For multigroup trials reporting several doses, we calculated a summary value for each physiological variable for all doses. After transitivity assessment, we fitted frequentist random-effects network meta-analyses for all comparisons in the network. A Kilim plot was used to summarise the results for all treatments and outcomes, providing information regarding the strength of the statistical evidence of treatment effects, using p values. Network heterogeneity was assessed with τ, risk of bias of individual trials was assessed with the Cochrane Collaboration's Tool for Assessing Risk of Bias, and the credibility of findings from each network meta-analysis was assessed with the Confidence in Network Meta-Analysis (CINEMA) app. This study is registered on PROSPERO (CRD42021274393).

FINDINGS

Of 6676 studies screened, 47 randomised controlled trials were included, which included 6500 children (mean age 13·29 years, SD 2·14) who received treatment for a median of 7 weeks (IQR 6-8) with either placebo (n=2134) or one of aripiprazole, asenapine, blonanserin, clozapine, haloperidol, lurasidone, molindone, olanzapine, paliperidone, pimozide, quetiapine, risperidone, or ziprasidone (n=4366). Mean differences for bodyweight change gain compared with placebo ranged from -2·00 kg (95% CI -3·61 to -0·39) with molindone to 5·60 kg (0·27 to 10·94) with haloperidol; BMI -0·70 kg/m2 (-1·21 to -0·19) with molindone to 2·03 kg/m2 (0·51 to 3·55) with quetiapine; total cholesterol -0·04 mmol/L (-0·39 to 0·31) with blonanserin to 0·35 mmol/L (0·17 to 0·53) with quetiapine; LDL cholesterol -0·12 mmol/L (-0·31 to 0·07) with risperidone or paliperidone to 0·17 mmol/L (-0·06 to 0·40) with olanzapine; HDL cholesterol 0·05 mmol/L (-0·19 to 0·30) with quetiapine to 0·48 mmol/L (0·18 to 0·78) with risperidone or paliperidone; triglycerides -0·03 mmol/L (-0·12 to 0·06) with lurasidone to 0·29 mmol/L (0·14 to 0·44) with olanzapine; fasting glucose from -0·09 mmol/L (-1·45 to 1·28) with blonanserin to 0·74 mmol/L (0·04 to 1·43) with quetiapine; prolactin from -2·83 ng/mL (-8·42 to 2·75) with aripiprazole to 26·40 ng/mL (21·13 to 31·67) with risperidone or paliperidone; heart rate from -0·20 bpm (-8·11 to 7·71) with ziprasidone to 12·42 bpm (3·83 to 21·01) with quetiapine; SBP from -3·40 mm Hg (-6·25 to -0·55) with ziprasidone to 10·04 mm Hg (5·56 to 14·51) with quetiapine; QTc from -0·61 ms (-1·47 to 0·26) with pimozide to 0·30 ms (-0·05 to 0·65) with ziprasidone.

INTERPRETATION

Children and adolescents show varied but clinically significant physiological responses to individual antipsychotic drugs. Treatment guidelines for children and adolescents with a range of neuropsychiatric and neurodevelopmental conditions should be updated to reflect each antipsychotic drug's distinct profile for associated metabolic changes, alterations in prolactin, and haemodynamic alterations.

FUNDING

UK Academy of Medical Sciences, Brain and Behaviour Research Foundation, UK National Institute of Health Research, Maudsley Charity, the Wellcome Trust, Medical Research Council, National Institute of Health and Care Research Biomedical Centre at King's College London and South London and Maudsley NHS Foundation Trust, the Italian Ministry of University and Research, the Italian National Recovery and Resilience Plan, and Swiss National Science Foundation.

Adherence to Recommended Metabolic Monitoring of Children and Adolescents Taking Second-Generation Antipsychotics

OBJECTIVE

Clinical guidelines recommend periodic monitoring for adverse metabolic effects associated with second-generation antipsychotic medications. The authors sought to evaluate adherence to the guideline-recommended metabolic monitoring schedule for children and adolescents prescribed second-generation antipsychotics.

METHODS

The authors used a national electronic medical records database for a retrospective study of children and adolescents ages 1-17 years (N=9,620) who were prescribed second-generation antipsychotics in January 2010-December 2018. Adherence to guideline-recommended monitoring of body mass index (BMI), blood glucose, and cholesterol was categorized as full, partial, and no monitoring. Full monitoring of patients was defined as strict metabolic monitoring, following the guideline-recommended schedule. Patients who received any monitoring, but not meeting the full monitoring criteria, were considered partially monitored. Three multinomial logistic regression models were fitted for each metabolic parameter to identify predictors associated with monitoring status.

RESULTS

BMI was the metabolic parameter with the highest adherence to guideline-recommended monitoring (full monitoring, 4.7% of patients; partial monitoring, 44.8%), followed by blood glucose (full monitoring, 6.5%; partial monitoring, 29.4%) and cholesterol (full monitoring, 0.8%; partial monitoring, 22.4%). Being Black (vs. non-Black), having a comorbid mood disorder (vs. none), receiving olanzapine as the index second-generation antipsychotic (vs. aripiprazole), and receiving an antidepressant as a concurrent medication (vs. none) were associated with a higher likelihood of receiving both full and partial monitoring of all three metabolic parameters.

CONCLUSIONS

Both full and partial adherence to guideline-recommended monitoring of children and adolescents prescribed second-generation antipsychotics were poor. However, children and adolescents at increased metabolic risk tended to be more closely monitored.

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

OBJECTIVE

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

METHOD

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

RESULTS

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

CONCLUSION

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

Polypharmacy in children and adolescents initiating antipsychotic drug in 2008-2016: a nationwide register study

OBJECTIVE

The use of antipsychotics in children and adolescents has increased rapidly. Little is known about psychotropic polypharmacy in children and adolescent initiating an antipsychotic drug. Thus, we investigated the frequency and predictors of polypharmacy during the first year of antipsychotic use in Finnish children and adolescents.

METHODS

Between 2008 and 2016, 14 848 individuals aged 1-17 years initiating risperidone, quetiapine, aripiprazole, or olanzapine treatment were identified from Finnish Prescription Registry. Data on psychotropic drug prescriptions prior to and during antipsychotic treatment were collected. Associations between predictors and polypharmacy were analyzed with regression models.

RESULTS

During the study period polypharmacy occurred in 44.9% of the new antipsychotic users, being more frequent in girls (55.5%) than in boys (44.5%, p < 0.001). The two most frequent concomitant psychotropic drug classes were antidepressants (66.2%) and psychostimulants/atomoxetine (30.8%). Adolescents aged 13-15 and 16-17 years, and girls showed an increased risk of polypharmacy during antipsychotic treatment (OR 2.37 [95% CI 1.91-2.92], OR 2.39 [95% CI 1.92-2.98], and OR 1.64 [95% CI 1.51-1.78], respectively). The use of psychostimulants/atomoxetine or antidepressants prior to initiation of antipsychotic treatment was strongly associated with polypharmacy during antipsychotic treatment (OR 8.39 [95% CI 7.49-9.41], OR 3.02 [95% CI 2.75-3.31]).

CONCLUSIONS

Polypharmacy was common in children and adolescents initiating antipsychotic treatment. Prior use of psychostimulants/atomoxetine and antidepressants increased the risk of polypharmacy. The use of antipsychotics was mainly off-label, thus, the risks of concomitant use of antipsychotics with other psychotropic drugs should be carefully weighed.

Perceptions and Experiences of Adolescents with Mental Disorders and Their Parents about Psychotropic Medications in Turkey: A Qualitative Study

This descriptive phenomenological study aimed to evaluate the perception and experiences of adolescents with mental disorders and their parents about the use of and adherence to psychotropic medications. A total of 12 semi-structured interviews with adolescents between the ages of 12 to 18 who were attending an outpatient psychiatric clinic for children and adolescents and 12 interviews with parents were conducted between October 2021 and January 2022 in Manisa, Turkey. Colaizzi’s phenomenological interpretation method was used for the analysis of the participants’ statements. Our study highlights the main positive effects of psychotropic medication and barriers to medication intake and adherence. Positive effects included symptom management and health improvement. Barriers varied from those directly linked to medication effects (e.g., negative side effects or lack of perceived effect) to personal barriers (e.g., forgetting to take medication or feelings of not being oneself due to medication intake) and societal barriers. In general, the barriers were reflected in concerns related to long-term consequences, such as medication dependence, and in concerns about diminished life prospects. Possible recommendations to improve the use of and adherence to psychotropic medication among adolescents include educating adolescents and parents not only about treatment options but also about mental disorders.

Relative Age and the Use of Second-Generation Antipsychotics from 7 to 17 Years of Age: A Population-Based Register Study

Objective: The youngest children in a classroom have a higher risk of attention-deficit/hyperactivity disorders (ADHDs) and depression than their relatively older peers. However, there has been a lack of research on how relative age is related to second-generation antipsychotic (SGA) medication use. Methods: This study used the Finnish National Prescription Register data and comprised all 669,726 Finnish children and adolescents aged 7-17 in 2018. We extracted data for those who were dispensed SGAs (risperidone, quetiapine, aripiprazole, and olanzapine) and ADHD medication (methylphenidate, atomoxetine, dexamphetamine, and lisdexamfetamine). Odds ratios (OR) and 95% confidence intervals (CI) were calculated for medication dispensed to schoolchildren born from January to April (the relatively oldest), May to August, and September to December (the relatively youngest). Dispensed prescriptions were a proxy for medication use. Results: SGAs were dispensed to 9146 (1.4%) individuals in 2018. Their use was lower among girls aged 12-17 years born from September to December than January to April (OR 0.89; 95% CI 0.83-0.97), with no association between SGA use and birth month among boys. However, younger relative age was associated with combined SGA and ADHD medication, which was used by 2556 (0.4%) of the cohort: 2074 (0.6%) boys and 482 (0.1%) girls. The OR was 1.27 for boys aged 12-17 born from September to December (95% CI 1.10-1.46), compared with January to April. The OR for girls born from May to August was 1.35 (95% CI 1.04-1.76) and from September to December it was 1.33 (95% CI 1.02-1.74), compared with January to April. Conclusions: A novel discovery of this study was that using both SGA and ADHD medication at the age of 12-17 years was more common among the youngest subjects in a school year than their relatively older peers.