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• W2332274857 abstract "Measuring dopamine D2 receptor occupancy levels using positron emission tomography (PET) is still widely unavailable. The objective of this study was to evaluate the accuracy of predicting D2 occupancy from the antipsychotic plasma level in patients with schizophrenia. Positron emission tomographic studies that measured plasma levels of antipsychotics and their corresponding D2 occupancy levels were identified, using MEDLINE and EMBASE (last search: March 2010). Antipsychotics that were investigated in a total of 20 subjects or more were included. All data points for each antipsychotic were fit to a one-site binding model to estimate the total plasma concentration of each antipsychotic associated with a 50% occupancy (ED50) of brain D2 receptors. The mean prediction error and the root mean squared prediction error were used to measure the predictive performance of individual D2 receptor occupancies from plasma drug levels derived from a one-site occupancy model using an ED50 value calculated for each data point. A total of 34 treatment arms from 23 studies involving 281 subjects were included. The mean (95% confidence interval) prediction errors and root squared prediction errors were as low as 0.0 (−1.8 to 1.8) and 8.9 (7.6-10.2) for risperidone (n = 98); 0.0 (−3.5 to 3.5) and 15.1 (12.9-17.3) for clozapine (n = 75); −0.1 (−1.2 to 1.2), 0.0 (−1.9 to 1.9), and 4.6 (3.5-5.8) for olanzapine (n = 42); 0.1 (−3.4 to 3.5) and 9.9 (7.3-12.5) for haloperidol (n = 35); and −0.1 (−3.3 to 3.1) and 12.3 (8.8-15.7) for ziprasidone (n = 31), respectively. These findings suggest that D2 occupancy of antipsychotics could be estimated with a high degree of accuracy using widely available plasma levels." @default.
• W2332274857 created "2016-06-24" @default.
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• W2332274857 date "2011-06-01" @default.
• W2332274857 modified "2023-10-17" @default.
• W2332274857 title "Predicting Dopamine D2 Receptor Occupancy From Plasma Levels of Antipsychotic Drugs" @default.
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• W2332274857 doi "https://doi.org/10.1097/jcp.0b013e318218d339" @default.
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