1. Virtual twins for model‐informed precision dosing of clozapine in patients with treatment‐resistant schizophrenia
- Author
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Sam Mostafa, Reza Rafizadeh, Thomas M. Polasek, Chad A. Bousman, Amin Rostami‐Hodjegan, Robert Stowe, Prescilla Carrion, Leslie J. Sheffield, and Carl M. J. Kirkpatrick
- Subjects
Therapeutics. Pharmacology ,RM1-950 - Abstract
Abstract Model‐informed precision dosing using virtual twins (MIPD‐VTs) is an emerging strategy to predict target drug concentrations in clinical practice. Using a high virtualization MIPD‐VT approach (Simcyp version 21), we predicted the steady‐state clozapine concentration and clozapine dosage range to achieve a target concentration of 350 to 600 ng/mL in hospitalized patients with treatment‐resistant schizophrenia (N = 11). We confirmed that high virtualization MIPD‐VT can reasonably predict clozapine concentrations in individual patients with a coefficient of determination (R2) ranging between 0.29 and 0.60. Importantly, our approach predicted the final dosage range to achieve the desired target clozapine concentrations in 73% of patients. In two thirds of patients treated with fluvoxamine augmentation, steady‐state clozapine concentrations were overpredicted two to four‐fold. This work supports the application of a high virtualization MIPD‐VT approach to inform the titration of clozapine doses in clinical practice. However, refinement is required to improve the prediction of pharmacokinetic drug–drug interactions, particularly with fluvoxamine augmentation.
- Published
- 2024
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