Literature DB >> 29336603

Comparison of Unlicensed and Off-Label Use of Antipsychotics Prescribed to Child and Adolescent Psychiatric Outpatients for Treatment of Mental and Behavioral Disorders with Different Guidelines: The China Food and Drug Administration Versus the FDA.

Xiuqing Zhu1, Jinqing Hu1, Bin Sun2, Shuhua Deng1, Yuguan Wen1, Weijia Chen1, Chang Qiu1, Dewei Shang1, Ming Zhang1.   

Abstract

OBJECTIVES: This study aims to compare the prevalence of unlicensed and off-label use of antipsychotics among child and adolescent psychiatric outpatients with guidelines proposed by the China Food and Drug Administration (CFDA) and the U.S. Food and Drug Administration (FDA), and to identify factors associated with inconsistencies between the two regulations.
METHODS: A retrospective analysis of 29,326 drug prescriptions for child and adolescent outpatients from the Affiliated Brain Hospital of Guangzhou Medical University was conducted. Antipsychotics were classified as "unlicensed" or "off-label use" according to the latest pediatric license information registered by the CFDA and the FDA or the package inserts of antipsychotics authorized by the CFDA or the FDA for the treatment of pediatric mental and behavioral disorders, respectively. Binary logistic regression analysis was performed to assess factors associated with inconsistencies between the two regulations.
RESULTS: The total unlicensed use, according to the CFDA analysis, was higher than that found in the FDA analysis (74.14% vs. 22.04%, p < 0.001). However, the total off-label use, according to the FDA analysis, was higher than that found in the CFDA analysis (46.53% vs. 15.77%, p < 0.001). Antipsychotic drug classes, age group, number of diagnoses, and diagnosis of schizophrenia and schizotypal and delusional disorders were associated with inconsistent unlicensed use. Antipsychotic drug classes, age group, number of prescribed psychotropic drugs, gender, diagnosis of schizophrenia and schizotypal and delusional disorders, diagnosis of mood [affective] disorders, diagnosis of mental retardation, and diagnosis of psychological development disorders were associated with inconsistent off-label use.
CONCLUSIONS: The difference in prevalence of total unlicensed and off-label use of antipsychotics between the two regulations was statistically significant. This inconsistency could be partly attributed to differences in pediatric license information and package inserts of antipsychotics. The results indicate a need for further clinical pediatric studies and better harmonization between agencies regarding antipsychotic used in pediatrics.

Entities:  

Keywords:  China Food and Drug Administration; FDA; antipsychotics; child and adolescent; off-label; unlicensed

Mesh:

Substances:

Year:  2018        PMID: 29336603     DOI: 10.1089/cap.2017.0079

Source DB:  PubMed          Journal:  J Child Adolesc Psychopharmacol        ISSN: 1044-5463            Impact factor:   2.576


  6 in total

Review 1.  The evidence-based choice for antipsychotics in children and adolescents should be guaranteed.

Authors:  Daria Putignano; Antonio Clavenna; Laura Reale; Maurizio Bonati
Journal:  Eur J Clin Pharmacol       Date:  2019-02-07       Impact factor: 2.953

Review 2.  Off-label use of drugs in pediatrics: a scoping review.

Authors:  Min Meng; Meng Lv; Ling Wang; Bo Yang; Panpan Jiao; Wenjuan Lei; Hui Lan; Quan Shen; Xufei Luo; Qi Zhou; Xuan Yu; Yangqin Xun; Ruobing Lei; Tianchun Hou; Yaolong Chen; Qiu Li
Journal:  Eur J Pediatr       Date:  2022-07-13       Impact factor: 3.860

3.  [Antipsychotic-induced motor symptoms in schizophrenic psychoses-Part 3 : Tardive dyskinesia].

Authors:  D Hirjak; K M Kubera; S Bienentreu; P A Thomann; R C Wolf
Journal:  Nervenarzt       Date:  2019-05       Impact factor: 1.214

Review 4.  Extent, reasons and consequences of off-labeled and unlicensed drug prescription in hospitalized children: a narrative review.

Authors:  Wasim Shuib; Xin-Yin Wu; Fang Xiao
Journal:  World J Pediatr       Date:  2021-06-02       Impact factor: 2.764

5.  An interpretable stacking ensemble learning framework based on multi-dimensional data for real-time prediction of drug concentration: The example of olanzapine.

Authors:  Xiuqing Zhu; Jinqing Hu; Tao Xiao; Shanqing Huang; Yuguan Wen; Dewei Shang
Journal:  Front Pharmacol       Date:  2022-09-27       Impact factor: 5.988

6.  Status of Medications Prescribed for Psychiatric Disorders in Korean Pediatric and Adolescent Patients.

Authors:  In-Woo Jang; Ji-Eun Chang; Jongyoon Kim; Kiyon Rhew
Journal:  Children (Basel)       Date:  2022-01-05
  6 in total

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