Metabolic Side Effects of Risperidone in Pediatric Patients with Neurological Disorders: A Prospective Cohort Study
Open Access
- 19 September 2024
- journal article
- research article
- Published by MDPI AG in Journal of Clinical Medicine
- Vol. 13 (18) , 5565
Abstract
Background/Objectives: Risperidone-related metabolic side effects in children have been primarily linked to variations between guideline-recommended and clinical treatment procedures. We explored the metabolic effects of risperidone administration in pediatric patients diagnosed with neurological disorders, thus evaluating its influence on metabolic indicators. Methods: This prospective cohort study gathered data from electronic health records, medical databases, and clinical reports. These data included patient demographics (e.g., age, sex, and body mass index) and information on risperidone use, including dosage, dosing frequency, and treatment duration. Additionally, laboratory tests were conducted at baseline and during treatment, along with other pertinent clinical variables. Result: A total of 52 eligible children (male; 73.1%) with neurological disorders treated with risperidone were included. The mean age was 13.4 ± 2.2 years. Risperidone was administered to 32.7% of patients for <2 years, 40.4% for 2–5 years, and 26.9% for 6–9 years, with a mean duration of 3.6 years. Most (53.8%) of the children experienced at least one metabolic side effect, with hyperlipidemia being the most common (34.6%). The median prolactin level increased slightly from 448.5 ng/mL at baseline to 479 ng/mL after 6–8 weeks. No significant associations were found between age, sex, duration of treatment, dosage form, dosing frequency, and hemoglobin A1c levels. Conclusion: Monitoring metabolic and anthropometric parameters in children receiving risperidone for neurological disorders is cardinal. Clinicians should consider individualized treatment plans, closely monitor metabolic markers, and address potential risks associated with long-term risperidone use in this vulnerable population.Keywords
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