Therapeutic Drug Monitoring of Olanzapine: Effects of Clinical Factors on Plasma Concentrations in Psychiatric Patients

Author:

Ansermot Nicolas1ORCID,Vathanarasa Harish1,Ranjbar Setareh2,Gholam Mehdi2,Crettol Séverine1,Vandenberghe Frederik1,Gamma Franziska3,Plessen Kerstin Jessica4,von Gunten Armin5,Conus Philippe6,Eap Chin B.1789

Affiliation:

1. Unit of Pharmacogenetics and Clinical Psychopharmacology, Centre for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital, University of Lausanne, Prilly, Switzerland;

2. Psychiatric Epidemiology and Psychopathology Research Centre, Department of Psychiatry, Lausanne University Hospital, University of Lausanne, Prilly, Switzerland;

3. Les Toises Psychiatry and Psychotherapy Centre, Lausanne, Switzerland;

4. Service of Child and Adolescent Psychiatry, Department of Psychiatry, Lausanne University Hospital, University of Lausanne, Prilly, Switzerland;

5. Service of Old Age Psychiatry, Department of Psychiatry, Lausanne University Hospital, University of Lausanne, Prilly, Switzerland;

6. Service of General Psychiatry, Department of Psychiatry, Lausanne University Hospital, University of Lausanne, Prilly, Switzerland;

7. Centre for Research and Innovation in Clinical Pharmaceutical Sciences, University of Lausanne, Lausanne, Switzerland;

8. School of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland; and

9. Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, University of Lausanne, Geneva and Lausanne, Switzerland.

Abstract

Background: Therapeutic drug monitoring (TDM) is strongly recommended for olanzapine due to its high pharmacokinetic variability. This study aimed to investigate the impact of various clinical factors on olanzapine plasma concentrations in patients with psychiatric disorders. Methods: The study used TDM data from the PsyMetab cohort, including 547 daily dose–normalized, steady-state, olanzapine plasma concentrations (C:D ratios) from 248 patients. Both intrinsic factors (eg, sex, age, body weight) and extrinsic factors (eg, smoking status, comedications, hospitalization) were examined. Univariate and multivariable, linear, mixed-effects models were employed, with a stepwise selection procedure based on Akaike information criterion to identify the relevant covariates. Results: In the multivariable model (based on 440 observations with a complete data set), several significant findings emerged. Olanzapine C:D ratios were significantly lower in smokers (β = −0.65, P < 0.001), valproate users (β = −0.53, P = 0.002), and inpatients (β = −0.20, P = 0.025). Furthermore, the C:D ratios decreased significantly as the time since the last dose increased (β = −0.040, P < 0.001). The male sex had a significant main effect on olanzapine C:D ratios (β = −2.80, P < 0.001), with significant interactions with age (β = 0.025, P < 0.001) and body weight (β = 0.017, P = 0.011). The selected covariates explained 30.3% of the variation in C:D ratios, with smoking status accounting for 7.7% and sex contributing 6.9%. The overall variation explained by both the fixed and random parts of the model was 67.4%. The model facilitated the prediction of olanzapine C:D ratios based on sex, age, and body weight. Conclusions: The clinical factors examined in this study, including sex, age, body weight, smoking status, and valproate comedication, remarkably influence olanzapine C:D ratios. Considering these factors, in addition to TDM and the clinical situation, could be important for dose adjustment.

Funder

Swiss National Research Foundation

Publisher

Ovid Technologies (Wolters Kluwer Health)

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