Modeling and Simulation of the Time Course of Asenapine Exposure Response and Dropout Patterns in Acute Schizophrenia

Modeling and simulation were utilized to characterize the efficacy dose response of sublingual asenapine in patients with schizophrenia and to understand the outcomes of six placebo‐controlled trials in which placebo responses and dropout rates varied. The time course of total Positive and Negative Syndrome Scale (PANSS) scores was characterized for placebo and asenapine treatments in a pharmacokinetic–pharmacodynamic model in which the asenapine effect was described by an Emax model, increasing linearly over the 6‐week study period. A logistic regression model described the time course of dropouts, with previous PANSS value being the most important predictor. The last observation carried forward (LOCF) time courses were well described in simulations from the combined PANSS + dropout model. The observed trial outcomes were successfully predicted for all the placebo arms and the majority of the treatment arms. Although simulations indicated that the post hoc probability of success of the performed trials was low to moderate, these analyses demonstrated that 5 and 10 mg twice‐daily (b.i.d.) doses of asenapine have similar efficacy.

[1]  E. Niclas Jonsson,et al.  PsN-Toolkit - A collection of computer intensive statistical methods for non-linear mixed effect modeling using NONMEM , 2005, Comput. Methods Programs Biomed..

[2]  M O Karlsson,et al.  Diagnosing Model Diagnostics , 2007, Clinical pharmacology and therapeutics.

[3]  R. Emsley,et al.  ASENAPINE IN SCHIZOPHRENIA: AN OVERVIEW OF CLINICAL TRIALS IN THE OLYMPIA PROGRAM , 2008, Schizophrenia Research.

[4]  E. Wong,et al.  Asenapine, a novel psychopharmacologic agent: preclinical evidence for clinical effects in schizophrenia , 2008, Psychopharmacology.

[5]  S. Potkin,et al.  Efficacy and tolerability of asenapine in acute schizophrenia: a placebo- and risperidone-controlled trial. , 2007, The Journal of clinical psychiatry.

[6]  S. Leucht,et al.  Dropout rates in randomised antipsychotic drug trials , 2001, Psychopharmacology.

[7]  S. Potkin,et al.  What Is Causing the Reduced Drug-Placebo Difference in Recent Schizophrenia Clinical Trials and What Can be Done About It? , 2008, Schizophrenia bulletin.

[8]  Mark E. Sale,et al.  A Joint Model for Nonlinear Longitudinal Data with Informative Dropout , 2003, Journal of Pharmacokinetics and Pharmacodynamics.

[9]  C. Peck,et al.  Prediction of the outcome of a phase 3 clinical trial of an antischizophrenic agent (quetiapine fumarate) by simulation with a population pharmacokinetic and pharmacodynamic model , 2000, Clinical pharmacology and therapeutics.

[10]  N Freemantle,et al.  Atypical antipsychotics in the treatment of schizophrenia: systematic overview and meta-regression analysis , 2000, BMJ : British Medical Journal.

[11]  W Ewy,et al.  Model‐based Drug Development , 2007, Clinical pharmacology and therapeutics.

[12]  L B Sheiner,et al.  Pharmacokinetic/pharmacodynamic modeling in drug development. , 2000, Annual review of pharmacology and toxicology.

[13]  E Niclas Jonsson,et al.  More efficient clinical trials through use of scientific model‐based statistical tests , 2002, Clinical pharmacology and therapeutics.

[14]  P. Lane Handling drop‐out in longitudinal clinical trials: a comparison of the LOCF and MMRM approaches , 2008, Pharmaceutical statistics.

[15]  P. Keck,et al.  Moderators of placebo response to antipsychotic treatment in patients with schizophrenia: a meta-regression , 2003, Psychopharmacology.

[16]  E N Jonsson,et al.  Xpose--an S-PLUS based population pharmacokinetic/pharmacodynamic model building aid for NONMEM. , 1999, Computer methods and programs in biomedicine.

[17]  M. Shahid,et al.  Asenapine: a novel psychopharmacologic agent with a unique human receptor signature , 2009, Journal of psychopharmacology.

[18]  C H Mallinckrodt,et al.  ACCOUNTING FOR DROPOUT BIAS USING MIXED-EFFECTS MODELS , 2001, Journal of biopharmaceutical statistics.

[19]  Geert Molenberghs,et al.  Assessing and interpreting treatment effects in longitudinal clinical trials with missing data , 2003, Biological Psychiatry.