Literature DB >> 18555573

Estimating the effects of co-medications on plasma olanzapine concentrations by using a mixed model.

Sheila Botts1, Francisco J Diaz, Vincenza Santoro, Edoardo Spina, Maria R Muscatello, Myladis Cogollo, Fidel E Castro, Jose de Leon.   

Abstract

The purpose of this study was to estimate the effect sizes of drug interactions on plasma olanzapine concentrations while adjusting for potentially confounding factors such as smoking. The estimation was performed by using a mixed model, data from a series of previously published studies of lamotrigine, oxcarbazepine, topiramate, and mirtazapine, and unpublished data from patients under clinical therapeutic drug monitoring (TDM). The total sample included 163 adult patients (age>or=18 years) who provided both steady-state plasma olanzapine concentrations and smoking information. They provided a total of 360 olanzapine concentrations (1 to 11 measures per patient). Smoking and concomitant carbamazepine or lamotrigine use were found to have significant effects on median plasma olanzapine concentrations. The effects of lamotrigine on plasma olanzapine concentrations were modified by smoking. After adjusting for olanzapine dose and carbamazepine intake, plasma olanzapine concentrations were 10% lower in non-smokers who were taking lamotrigine than in non-smokers who were not taking lamotrigine; olanzapine concentrations were 35% higher in smokers who were taking lamotrigine than in smokers who were not taking lamotrigine; olanzapine concentrations were 41% lower in smokers who were not taking lamotrigine than in non-smokers who were not taking lamotrigine; and olanzapine concentrations were 11% lower in smokers who were taking lamotrigine than in non-smokers who were taking lamotrigine. After adjusting for olanzapine dose and taking carbamazepine, the correction factor comparing smokers taking lamotrigine versus non-smokers who were not taking lamotrigine was 1.3. Gender, age, and concomitant use of mirtazapine, valproic acid, lamotrigine, topiramate, lorazepam, citalopram or oxcarbazepine did not have significant effects on olanzapine concentrations. The main limitation of this clinical design is the unavoidable substantial "noise" that characterizes (uncontrolled) clinical environments, which may make it difficult to detect the effects of some variables. Other limitations were the small sample size of some drug sub-samples and the lack of testing for plasma olanzapine metabolites.

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Year:  2008        PMID: 18555573     DOI: 10.1016/j.pnpbp.2008.04.018

Source DB:  PubMed          Journal:  Prog Neuropsychopharmacol Biol Psychiatry        ISSN: 0278-5846            Impact factor:   5.067


  10 in total

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Review 2.  Clinically significant drug interactions with atypical antipsychotics.

Authors:  William Klugh Kennedy; Michael W Jann; Eric C Kutscher
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Authors:  F J Diaz; C B Eap; N Ansermot; S Crettol; E Spina; J de Leon
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4.  Measuring the individual benefit of a medical or behavioral treatment using generalized linear mixed-effects models.

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6.  Construction of the Design Matrix for Generalized Linear Mixed-Effects Models in the Context of Clinical Trials of Treatment Sequences.

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Journal:  Rev Colomb Estad       Date:  2018-07

7.  Three patients needing high doses of valproic Acid to get therapeutic concentrations.

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8.  Role of Statistical Random-Effects Linear Models in Personalized Medicine.

Authors:  Francisco J Diaz; Hung-Wen Yeh; Jose de Leon
Journal:  Curr Pharmacogenomics Person Med       Date:  2012-03

9.  Measuring individual benefits of psychiatric treatment using longitudinal binary outcomes: Application to antipsychotic benefits in non-cannabis and cannabis users.

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10.  Meta-analysis: the effects of smoking on the disposition of two commonly used antipsychotic agents, olanzapine and clozapine.

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Journal:  BMJ Open       Date:  2014-03-04       Impact factor: 2.692

  10 in total

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