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Antipsychotics-associated serious adverse events in children: an analysis of the FAERS database
Goji Kimura1, Kaori Kadoyama1, J B Brown2
11. Center for Integrative Education in Pharmacy and Pharmaceutical Sciences, Graduate School of Pharmaceutical Sciences, Kyoto University, Kyoto 606-8501, Japan.
Insights
Antipsychotic medications show varied risks for serious adverse events like NMS and suicide attempts in children. Continued research and careful data interpretation are crucial for improving pediatric care.
Area of Science:
- Pharmacovigilance
- Pediatric Pharmacology
- Drug Safety
Background:
- Antipsychotic medications are increasingly prescribed for children.
- Serious adverse events (SAEs) associated with these drugs require thorough investigation.
- The US Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS) is a valuable data source for post-marketing surveillance.
Purpose of the Study:
- To assess serious adverse events linked to antipsychotic use in children.
- To analyze specific SAEs including neuroleptic malignant syndrome (NMS), QT prolongation, leukopenia, and suicide attempts.
- To identify potential differences in risk profiles among various antipsychotic drugs.
Main Methods:
- Analysis of FAERS data from 1997 to 2011 for children aged 0-12 years.
- Inclusion of seven antipsychotics: haloperidol, olanzapine, quetiapine, clozapine, ziprasidone, risperidone, and aripiprazole.
- Application of quantitative data mining algorithms (e.g., empirical Bayes geometric mean, reporting odds ratio) to detect adverse event signals.
Main Results:
- Haloperidol and aripiprazole showed higher signal scores for neuroleptic malignant syndrome (NMS).
- Ziprasidone and risperidone were associated with significant signals for QT prolongation.
- Clozapine exhibited a noteworthy association with leukopenia.
- Suicide attempt signals were detected for haloperidol, olanzapine, quetiapine, risperidone, and aripiprazole.
Conclusions:
- A diversity exists in the strength of association between different antipsychotics and serious adverse events in children.
- These events can potentially lead to fatal outcomes.
- Further research with comprehensive data analysis from multiple perspectives is recommended to enhance pediatric patient care.
Objective:
The reports submitted to the US Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS) from 1997 to 2011 were reviewed to assess serious adverse events induced by the administration of antipsychotics to children.
Methods:
Following pre-processing of FAERS data by elimination of duplicated records as well as adjustments to standardize drug names, reports involving haloperidol, olanzapine, quetiapine, clozapine, ziprasidone, risperidone, and aripiprazole were analyzed in children (age 0-12). Signals in the data that signified a drug-associated adverse event were detected via quantitative data mining algorithms. The algorithms applied to this study include the empirical Bayes geometric mean, the reporting odds ratio, the proportional reporting ratio, and the information component of a Bayesian confidence propagation neural network. Neuroleptic malignant syndrome (NMS), QT prolongation, leukopenia, and suicide attempt were focused on as serious adverse events.
Results:
In regard to NMS, the signal scores for haloperidol and aripiprazole were greater than for other antipsychotics. Significant signals of the QT prolongation adverse event were detected only for ziprasidone and risperidone. With respect to leukopenia, the association with clozapine was noteworthy. In the case of suicide attempt, signals for haloperidol, olanzapine, quetiapine, risperidone, and aripiprazole were detected.
Conclusions:
It was suggested that there is a level of diversity in the strength of the association between various first- and second-generation antipsychotics with associated serious adverse events, which possibly lead to fatal outcomes. We recommend that research be continued in order to gather a large variety and quantity of related information, and that both available and newly reported data be placed in the context of multiple medical viewpoints in order to lead to improved levels of care.
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