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Handwriting Analysis Indicates Spontaneous Dyskinesias in Neuroleptic Naïve Adolescents at High Risk for Psychosis
Published on: November 21, 2013
Current strategies for predicting side effects from second generation antipsychotics in youth
Jacob T Brown1, Claudia Campo-Soria2, Jeffrey R Bishop3,4
1Department of Pharmacy Practice and Pharmaceutical Sciences, College of Pharmacy, University of Minnesota, Duluth, MN, USA.
Identifying children at risk for side effects from second-generation antipsychotics (SGAs) is crucial. Clinical, pharmacological, and genetic factors can predict adverse events like movement disorders and weight gain in pediatric patients.
Area of Science:
- Pediatric pharmacology
- Child and adolescent psychiatry
- Clinical toxicology
Background:
- Second-generation antipsychotics (SGAs) are widely used for pediatric conditions.
- While generally safer than older agents, SGAs carry risks including movement disorders, weight gain, hormonal changes, and rare severe events like neuroleptic malignant syndrome.
- Predicting which children are at higher risk for specific adverse events is essential for safe prescribing.
Purpose of the Study:
- To review clinical, pharmacological, and genetic factors that predict side effects and toxicities associated with SGAs in children.
- To provide insights for prescribers to mitigate risks and optimize treatment outcomes.
Main Methods:
- Literature review and synthesis of existing studies on SGA side effects in pediatric populations.
- Analysis of clinical observations, pharmacological data, and emerging pharmacogenetic research.
- Commentary on the evidence for predictive factors.
Main Results:
- Older children or those with poor early treatment response may face higher risks for movement disorders.
- Younger, antipsychotic-naive children are more susceptible to significant weight gain.
- Pharmacogenetic variations show potential for improving drug selection and dosing, though research is less extensive.
Conclusions:
- Clinical, pharmacological, and genetic factors can help predict SGA-associated adverse events in children.
- Integrating these factors into predictive models can support clinical decision-making and advance precision medicine for pediatric patients.
- Further research into pharmacogenetics is warranted to refine treatment strategies.
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