Unique ID issued by UMIN | UMIN000002294 |
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Receipt number | R000002804 |
Scientific Title | Predicting Antipsychotic Plasma Level Before Dosage Change: Population Pharmacokinetic Analysis |
Date of disclosure of the study information | 2009/08/20 |
Last modified on | 2012/02/06 08:14:04 |
Predicting Antipsychotic Plasma Level Before Dosage Change: Population Pharmacokinetic Analysis
Predicting Antipsychotic Plasma Level
Predicting Antipsychotic Plasma Level Before Dosage Change: Population Pharmacokinetic Analysis
Predicting Antipsychotic Plasma Level
Japan |
schizophrenia
Psychiatry |
Others
NO
A close association between plasma antipsychotic level and dopamine D2 receptor occupancy suggests that the plasma antipsychotic level can be used to predict D2 receptor occupancy. Individualized dosing with the measurement of antipsychotic plasma levels, therefore, becomes a real potential clinical application. Given a high interindividual variability in peripheral pharmacokinetic parameters, the next hurdle is in robustly predicting antipsychotic plasma levels before changing a dose for each individual. In this study, we will attempt to test the validity and reliability of predicting plasma levels of risperidone and 9-hydroxyrisperidone before performing a dosage change, using population pharmacokinetic modeling.
Pharmacokinetics
An interclass correlation coefficient between predicted and observed plasma antipsychotic levels will be calculated.
Observational
18 | years-old | <= |
Not applicable |
Male and Female
(1) DSM-IV/SCID diagnosis of schizophrenia, schizoaffective disorder, schizophreniform disorder, delusional disorder, or psychotic disorder NOS
(2) Having been treated with oral risperidone or olanzapine at a steady dose for at least 7 days
(3) Antipsychotic dosage change is clinically indicated
(4) Capable to provide informed consent
(1) Past history of vasovagal reflection associated with injection
(2) History of treatment with long-acting risperidone within 3 months
50
1st name | |
Middle name | |
Last name | Hiroyuki Uchida |
Keio University School of Medicine
Department of Neuropsychiatry
160-8582 35 Schinanomachi, Shinjuku-ku
+81.3.5363.3829
1st name | |
Middle name | |
Last name |
Keio University School of Medicine
Department of Neuropsychiatry
81.3.5363.3829
Department of Neuropsychiatry, Keio University School of Medicine
None
Self funding
NO
2009 | Year | 08 | Month | 20 | Day |
Published
50 subjects participated in this study. The mean (95% CI) prediction errors (ng/mL) were as low as 0.0 (-1.3-1.4) for RIS and 1.0 (-1.1-3.0) for 9-OH-RIS. The observed and predicted concentrations of RIS and 9-OH-RIS were highly correlated, respectively (r=0.96, p<0.0001 and r=0.92, p<0.0001, respectively).
Completed
2009 | Year | 05 | Month | 24 | Day |
2009 | Year | 09 | Month | 01 | Day |
2011 | Year | 08 | Month | 01 | Day |
In this study, people who will need a dosage change of risperidone or olanzapine for clinical reasons(s) will be included. No dosage change will be performed only for the purpose of participating in this study.
2009 | Year | 08 | Month | 05 | Day |
2012 | Year | 02 | Month | 06 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000002804
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