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Title: Development and Validation of Liquid Chromatography/Tandem Mass Spectrometry Analysis for Therapeutic Drug Monitoring of Risperidone and 9-Hydroxyrisperidone in Pediatric Patients with Autism Spectrum Disorders
Authors: Natchaya Vanwong
Santirat Prommas
Apichaya Puangpetch
Yaowaluck Hongkaew
Nopadol Nuntamool
Chalitpol Na Nakorn
Nattawat Ngamsamut
Penkhae Limsila
Chonlaphat Sukasem
Mahidol University
Faculty of Medicine, Ramathibodi Hospital, Mahidol University
Thailand Ministry of Public Health
Keywords: Biochemistry, Genetics and Molecular Biology;Health Professions;Medicine
Issue Date: 1-Nov-2016
Citation: Journal of Clinical Laboratory Analysis. Vol.30, No.6 (2016), 1236-1246
Abstract: © 2016 Wiley Periodicals, Inc. Background: Risperidone (RIS) is a widely used atypical antipsychotic drug. We developed and validated a sensitive and accurate LC-MS/MS method, which requires a small-volume of plasma and small-volume injection for measurement of RIS levels in ASD pediatric patients. We also investigated the relationship between RIS levels and RIS dosages, including prolactin levels. Method: Blood samples were processed by protein precipitation extraction. Only 1 μl of sample was injected. Plasma samples were separated on a C18 column (4.6 cm × 50 mm; 1.8 μm particle size). Detection was by MS-MS with an analytical run time of 6 min. Results: The inter-day accuracy of RIS was 101.33–107.68% and 95.24–103.67% for 9-OH-RIS. The inter-day precision of RIS was ≤7.27% CV and ≤7.41% CV for 9-OH-RIS. The extraction recovery of RIS and 9-OH-RIS were 95.01 ± 7.31–112.62 ± 7.50% and 90.27 ± 11.15–114.00 ± 10.35%, respectively. This method was applied in the therapeutic drug monitoring of ASD pediatric patients. Higher RIS dosage has a tendency to produce higher RIS plasma levels. The high RIS plasma levels have a tendency to produce hyperprolactinemia. Conclusion: The determination of RIS in individual patients might be clinically useful for monitoring and prediction of treatment response.
ISSN: 10982825
Appears in Collections:Scopus 2016-2017

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