Dataset Information

Unlocking treatment success: predicting atypical antipsychotic continuation in youth with mania.

ABSTRACT:

Purpose

This study aimed to create and validate robust machine-learning-based prediction models for antipsychotic drug (risperidone) continuation in children and teenagers suffering from mania over one year and to discover potential variables for clinical treatment.

Method

The study population was collected from the national claims database in China. A total of 4,532 patients aged 4-18 who began risperidone therapy for mania between September 2013 and October 2019 were identified. The data were randomly divided into two datasets: training (80%) and testing (20%). Five regularly used machine learning methods were employed, in addition to the SuperLearner (SL) algorithm, to develop prediction models for the continuation of atypical antipsychotic therapy. The area under the receiver operating characteristic curve (AUC) with a 95% confidence interval (CI) was utilized.

Results

In terms of discrimination and robustness in predicting risperidone treatment continuation, the generalized linear model (GLM) performed the best (AUC: 0.823, 95% CI: 0.792-0.854, intercept near 0, slope close to 1.0). The SL model (AUC: 0.823, 95% CI: 0.791-0.853, intercept near 0, slope close to 1.0) also exhibited significant performance. Furthermore, the present findings emphasize the significance of several unique clinical and socioeconomic variables, such as the frequency of emergency room visits for nonmental health disorders.

Conclusions

The GLM and SL models provided accurate predictions regarding risperidone treatment continuation in children and adolescents with episodes of mania and hypomania. Consequently, applying prediction models in atypical antipsychotic medicine may aid in evidence-based decision-making.

SUBMITTER: Yang X

PROVIDER: S-EPMC11295322 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature

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Publications

Unlocking treatment success: predicting atypical antipsychotic continuation in youth with mania.

Yang Xiangying X Huang Wenbo W Liu Li L Li Lei L Qing Song S Huang Na N Zeng Jun J Yang Kai K

BMC medical informatics and decision making 20240802 1

<h4>Purpose</h4>This study aimed to create and validate robust machine-learning-based prediction models for antipsychotic drug (risperidone) continuation in children and teenagers suffering from mania over one year and to discover potential variables for clinical treatment.<h4>Method</h4>The study population was collected from the national claims database in China. A total of 4,532 patients aged 4-18 who began risperidone therapy for mania between September 2013 and October 2019 were identified. ...[more]

PMID: 39095826

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Project description:ObjectiveSome atypical antipsychotics are associated with metabolic side effects, which are risk factors for gestational diabetes. The authors examined the risk of developing gestational diabetes associated with the continuation of treatment with aripiprazole, ziprasidone, quetiapine, risperidone, and olanzapine during pregnancy compared with discontinuation of these antipsychotic drugs.MethodNondiabetic pregnant women who were linked to a live-born infant and enrolled in Medicaid (2000-2010) and who received one or more prescriptions dispensed for an antipsychotic drug during the 3 months before pregnancy were included in the analyses. Among 1,543,334 pregnancies, some expectant mothers at baseline were receiving treatment with aripiprazole (N=1,924), ziprasidone (N=673), quetiapine (N=4,533), risperidone (N=1,824), or olanzapine (N=1,425). For each antipsychotic drug, women with two or more dispensings ("continuers") were compared with women with no dispensings ("discontinuers") during the first half of pregnancy. A generalized linear model and propensity-score stratification were used to obtain absolute and relative risks of developing gestational diabetes, with adjustment for confounders.ResultsWomen who continued antipsychotic treatment during pregnancy generally had higher comorbidity and longer baseline antipsychotic use. The crude risk of developing gestational diabetes among continuers compared with discontinuers, respectively, was 4.8% and 4.5% for aripiprazole, 4.2% and 3.8% for ziprasidone, 7.1% and 4.1% for quetiapine, 6.4% and 4.1% for risperidone, and 12.0% and 4.7% for olanzapine. The adjusted relative risks were 0.82 (95% CI=0.50-1.33) for aripiprazole, 0.76 (95% CI=0.29-2.00) for ziprasidone, 1.28 (95% CI=1.01-1.62) for quetiapine, 1.09 (95% CI=0.70-1.70) for risperidone, and 1.61 (95% CI=1.13-2.29) for olanzapine.ConclusionsCompared with women who discontinued use of an atypical antipsychotic medication before the start of pregnancy, women who continued treatment with olanzapine or quetiapine had an increased risk of gestational diabetes that may be explained by the metabolic effects associated with these two drugs.

Project description:BackgroundAntipsychotic-treated youth have increased risk for the development of obesity and type 2 diabetes. Behavioral weight loss treatments show promise in reducing obesity and diabetes risk in antipsychotic treated adults, but have received no study in antipsychotic treated youth.ObjectiveWe describe a rationale for behavioral weight loss interventions in high-weight antipsychotic treated youth, and report behavioral, anthropomorphic, and metabolic findings from a case series of obese antipsychotic-treated adolescents participating in a short-term, family-based behavioral weight loss intervention.MethodsWe adapted the Traffic Light Plan, a 16-week family-based weight loss intervention that promotes healthy energy balance using the colors of the traffic light to categorize the nutritional value of foods and intensity of physical activity, adapting a social ecological framework to address health behavior change in multiple social contexts. The intervention was administered to three obese adolescents with long-term antipsychotic medication exposure. Efficacy of the intervention was evaluated with a battery of anthropomorphic and metabolic assessments including weight, body mass index percentile, whole body adiposity, liver fat content, and fasting plasma glucose and lipids. Participants and their parents also filled out a treatment satisfaction questionnaire upon study completion.ResultsTwo males and 1 female (all aged 14 years) participated. All 3 participants attended all 16 sessions, and experienced beneficial changes in adiposity, fasting lipids and liver fat content associated with weight stabilization or weight loss. Adolescents and their parents all reported a high level of satisfaction with the treatment.ConclusionsFamily-based behavioral weight loss treatment can be feasibly delivered and is acceptable to antipsychotic-treated youth and their families. Randomized controlled trials are needed to fully evaluate the effectiveness and acceptability of behavioral weight loss interventions in antipsychotic treated youth and their families.

Project description:The beliefs that antipsychotic drugs (APDs) are 1) effective only to treat delusions and hallucinations (positive symptoms), 2) that typical and atypical APDs differ only in ability to cause extrapyramidal side effects, and 3) that their efficacy as antipsychotics is due solely to their dopamine D2 receptor blockade are outmoded concepts that prevent clinicians from achieving optimal clinical results when prescribing an APD. Atypical APDs are often more effective than typical APDs in treating negative symptoms, cognitive impairment, and mood symptoms as well as reducing the risk for suicide and decreasing aggression. This applies not only to those diagnosed with schizophrenia or schizoaffective disorder but also to bipolar disorder, major depression, and other psychiatric diagnoses. The greater advantage of an atypical APD is not evident in all patients for every atypical APD due, in part, to individual differences in genetic and epigenetic endowment and differences in the pharmacology of the atypical APDs, their mode of action being far more complex than that of the typical APDs. A common misconception is that among the atypical APDs, only clozapine is effective for reducing psychosis in treatment-resistant schizophrenia. Aripiprazole, lurasidone, olanzapine, and risperidone also can be more effective than typical APDs for treatment-resistant schizophrenia; clozapine is uniquely indicated for reducing the risk for suicide. The ability of the atypical APDs to improve cognition and negative symptoms in some patients together with lower propensity to cause tardive dyskinesia (an underappreciated advantage) leads to better overall outcomes. These advantages of the atypical APDs in efficacy and safety are due, in part, to initiation of synaptic plasticity via direct and indirect effects of the atypical APDs on a variety of proteins, especially G proteins, and release of neurotrophins (e.g., brain-derived neurotrophic factor). The typical APDs beneficial effects on psychosis are mainly the result of D2 receptor blockade, which can be associated with serious side effects and lack of tolerability.

Project description:This resident physician-led quality improvement project was conducted with aims to improve the health of youth prescribed atypical antipsychotic medications by increasing physician monitoring for metabolic side effects, while simultaneously educating trainees in quality improvement methodology. The plan, do, study, act quality improvement framework was utilized. Baseline metabolic monitoring rates of patients prescribed atypical antipsychotic medications in the two psychiatry resident outpatient clinics were obtained. Rates were stratified based on time on medication (<1 year, ≥1 year) and parameter monitored. Metabolic monitoring rates subsequent to targeted changes were obtained. Problem solving with residents revealed barriers to monitoring, such as limited awareness of specific guideline recommendations and lack of convenient access to medical equipment (calibrated scales). Residents received education about atypical antipsychotic monitoring guidelines and side effect treatment. Residents were provided with calibrated scales. Atypical antipsychotic monitoring templates were introduced. Online surveys using were conducted to determine self-reported baseline-monitoring rates and comfort with guidelines following targeted change. The baseline metabolic monitoring rates of patients prescribed atypical antipsychotic medications was 9% (range: 0 to 17.6%) for youth in their first year taking an atypical antipsychotic medication and 58.9% (range: 29% to 100%) in subsequent years on medication. The results of relatively easy changes resulted in modest improvement in monitoring rates. The metabolic monitoring rate of a patient initiated on an atypical antipsychotic medication was 29% after targeted quality improvement measures were employed. Following quality improvement changes, residents reported increased knowledge about guidelines and increased monitoring for side effects. Use of a standardized data collection instrument to track monitoring of patients increased from 0% to 70% (range: 30% to 90%). Quality improvement projects provide an avenue with which to improve atypical antipsychotic monitoring rates. Through active participation in quality improvement projects, psychiatry residents may be taught to employ quality improvement methodology.

Project description:BackgroundAntipsychotics are used in Parkinson disease (PD) to treat psychosis, mood, and behavioral disturbances. Commonly used antipsychotics differ substantially in their potential to worsen motor symptoms through dopaminergic receptor blockade. Recent real-world data on the use and continuation of antipsychotic therapy in PD are lacking. The objectives of this study are to (1) examine the continuation of overall and initial antipsychotic therapy in individuals with PD and (2) determine whether continuation varies by drug dopamine receptor blocking activity.MethodsWe conducted a retrospective cohort study using U.S. commercially insured individuals in Optum 2001-2019. Adults aged 40 years or older with PD initiating antipsychotic therapy, with continuous insurance coverage for at least 6 months following drug initiation, were included. Exposure to pimavanserin, quetiapine, clozapine, aripiprazole, risperidone, or olanzapine was identified based on pharmacy claims. Six-month continuation of overall and initial antipsychotic therapy was estimated by time to complete discontinuation or switching to a different antipsychotic. Cox proportional hazards models evaluated factors associated with discontinuation.ResultsOverall, 38.6% of 3566 PD patients in our sample discontinued antipsychotic therapy after the first prescription, 61.4% continued with overall treatment within 6 months of initiation. Clozapine use was too rare to include in statistical analyses. Overall therapy discontinuation was more likely for those who initiated medications with known dopamine-receptor blocking activity (adjusted hazard ratios 1.76 [95% confidence interval 1.40-2.20] for quetiapine, 2.15 [1.61-2.86] for aripiprazole, 2.12 [1.66-2.72] for risperidone, and 2.07 [1.60-2.67] for olanzapine), compared with serotonin receptor-specific pimavanserin. Initial antipsychotic therapy discontinuation also associated with greater dopamine-receptor blocking activity medication use - adjusted hazard ratios 1.57 (1.28-1.94), 1.88 (1.43-2.46), 2.00 (1.59-2.52) and 2.03 (1.60-2.58) for quetiapine, aripiprazole, risperidone, and olanzapine, respectively, compared with pimavanserin. Similar results were observed in sensitivity analyses.ConclusionsOver one-third of individuals with PD discontinued antipsychotic therapy, especially if the initial drug has greater dopamine-receptor blocking activity. Understanding the drivers of antipsychotic discontinuation, including ineffectiveness, potentially inappropriate use, clinician inertia, patient adherence and adverse effects, is needed to inform clinical management of psychosis in PD and appropriate antipsychotic use in this population.

Dataset Information

Unlocking treatment success: predicting atypical antipsychotic continuation in youth with mania.

Purpose

Method

Results

Conclusions

Publications

Unlocking treatment success: predicting atypical antipsychotic continuation in youth with mania.

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