Predicting Unsuccessful Clozapine Treatment After First Use in Adult Patients With Psychotic Disorders

Comparison of prediction methods for treatment continuation of antipsychotics in children and adolescents with schizophrenia

OBJECTIVE

There is little evidence for finding optimal antipsychotic treatment for schizophrenia, especially in paediatrics. To evaluate the performance and clinical benefit of several prediction methods for 1-year treatment continuation of antipsychotics.

DESIGN AND SETTINGS

Population-based prognostic study conducting using the nationwide claims database in Korea.

PARTICIPANTS

5109 patients aged 2-18 years who initiated antipsychotic treatment with risperidone/aripiprazole for schizophrenia between 2010 and 2017 were identified.

MAIN OUTCOME MEASURES

We used the conventional logistic regression (LR) and common six machine-learning methods (least absolute shrinkage and selection operator, ridge, elstic net, randomforest, gradient boosting machine, and superlearner) to derive predictive models for treatment continuation of antipsychotics. The performance of models was assessed using the Brier score (BS), area under the receiver operating characteristic curve (AUROC) and area under the precision-recall curve (AUPRC). The clinical benefit of applying these models was also evaluated by comparing the treatment continuation rate between patients who received the recommended medication by models and patients who did not.

RESULTS

The gradient boosting machine showed the best performance in predicting treatment continuation for risperidone (BS, 0.121; AUROC, 0.686; AUPRC, 0.269). Among aripiprazole models, GBM for BS (0.114), SuperLearner for AUROC (0.688) and random forest for AUPRC (0.317) showed the best performance. Although LR showed lower performance than machine learnings, the difference was negligible. Patients who received recommended medication by these models showed a 1.2-1.5 times higher treatment continuation rate than those who did not.

CONCLUSIONS

All prediction models showed similar performance in predicting the treatment continuation of antipsychotics. Application of prediction models might be helpful for evidence-based decision-making in antipsychotic treatment.

Combination With Long-Acting Injectable Antipsychotics and Utilization of Nonstandard Formulations as Compliance Enhancing Methods for Clozapine Users: A Systematic Review and A Case Series

BACKGROUND

Combining clozapine with a long-acting injectable antipsychotic (LAI) or using different, nonstandard formulations of the compound may improve treatment outcomes. We aimed to investigate the utility of the clozapine-LAI combination and different formulations of clozapine for compliance problems of clozapine treatment, and to describe a case series on the combined treatment.

PROCEDURES

We conducted a PubMed search with no date restriction. The number and length of hospitalizations, the results of clinical scales, and adverse events were recorded. We also present a case series of 18 patients using the clozapine-LAI combination. Data were collected from the medical charts and electronic records.

RESULTS

We extracted 9 records describing the use of the clozapine-LAI combination. The case reports and mirror-image studies showed a significant reduction in the number of hospitalizations, length of hospital stays, and number of visits to the emergency department on the combined treatment with no serious adverse events. We included 11 articles for clozapine formulations. The case reports and retrospective data suggested that short-acting intramuscular clozapine was often well tolerated and resulted in an increased acceptance of oral clozapine in the acute phase of illness. In our case series, illness severity and the number of hospitalization per year significantly decreased after the combined treatment, besides a significant improvement in the functioning scores. Hyperprolactinemia and extrapyramidal side effects were reported due to concomitant LAIs.

CONCLUSIONS

Despite the encouraging evidence, the present data are preliminary and mostly based on retrospective studies, and oral-dissolving tablets or oral liquid formulations of clozapine have insufficient evidence for clinical practice. Well-designed, controlled, follow-up studies are needed for both clozapine-LAI combination and different formulations of clozapine.

Reasons for clozapine discontinuation in patients with treatment-resistant schizophrenia

Although clozapine is more effective than other antipsychotics in the treatment of schizophrenia, the rate of its discontinuation is also high. The aim of this retrospective chart-review study was to investigate the causes of clozapine discontinuation in patients with treatment-resistant schizophrenia. This study included a total of 396 patients with schizophrenia, 240 still on clozapine therapy and 156 who discontinued clozapine, and compared their clinical characteristics. Those who discontinued clozapine had a longer history of illness and more hospitalizations before clozapine and tended to be older. Inadequate response was more common among clozapine discontinuers compared to continuers. The most common reason for discontinuation was the side-effects associated with clozapine (49%). Discontinuation from patient decision or by the psychiatrist due to noncompliance was the second (29.7%) and discontinuation due to lack of efficacy was the third most frequent reason (21.3%). The patients who discontinued clozapine because of cardiac side effects were younger, had shorter duration of clozapine use, and had lower maximum clozapine dose compared to the other discontinuers. Our findings point out the importance of enhancing psychiatrists' ability to handle manageable side effects to minimize discontinuations and maximize the benefits of clozapine in patients with treatment-resistant schizophrenia.