The effects of six antipsychotic agents on QTc—An attempt to mimic clinical trial through simulation including variability in the population

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Abstract

Background

Many drugs (belonging to different chemical groups) have the potential for QT interval prolongation associated with ionic channel blockade in the cardiomyocyte membrane. Due to the fact that this phenomenon is linked to a higher risk of TdP, the ability to predict its scale is one of the most important outcomes of cardiotoxicity assessment of new agents.

Methods

With use of the Cardiac Safety Simulator (CSS), the effect of six antipsychotic drugs was predicted in silico. Separate simulations were carried out for each studied population taking the drug. The aim of this study was to predict both the mean values of delta QTc and the results range. To be able to observe individual variability after drug administration, each patient was randomly assigned to the individual drug concentration. Also, appropriate diversity in heart rate, plasma electrolytes concentrations, morphometric parameters of ventricular myocytes, and one common hERG polymorphism frequency in population were added.

Results

Analyzing the results of simulation with Student׳s t-test, in five of six cases, there were no statistically significant differences between observed and predicted mean values. The diversity of results in all populations studied, however, was not fully reconstructed.

Discussion

The model was able to accurately reproduce the average effect of the drug on the length when the phenomenon is associated purely with blocking of ionic channels. Nevertheless, the problem of variability in the population and its effect on the QT interval requires further study.

Section snippets

Background

The QT interval – the time between the start of the Q wave and the end of the T wave in the ECG – represents the measure of ventricular depolarization and repolarization. The QT interval prolongation is considered to be a biomarker for proarrhythmic risk, especially for a life-threatening arrhythmia—Torsades de Pointes (TdP) [1].

It has been found that many drugs belonging to different chemical and therapeutic groups, such as antiarrhythmics, antihistamines, antifungals, antipsychotics or

Methods

The Cardiac Safety Simulator (CSS) is a tool for in vitro–in vivo extrapolation of the cardiac effects of drugs (occurrence or absence of the QT interval prolongation in the simulated ECG trace and its scale). The experiment described in the current publication is based on data obtained from the literature-derived in vitro studies results (heterologously transfected HEK and CHO cells, and guinea pig VM) as presented in Table 1. Such drug-specific data, together with individual drugs

Results

Using the Cardiac Safety Simulator, six simulations for antipsychotic agents such as Haloperidol, Ziprasidone, Quetiapine, Olanzapine, Risperidone, Thioridazine were performed. The aim of the study was to evaluate the possibility of mimicking the results of the clinical trial through simulation.

Fig. 1 presents mean values of QTc prolongation after drug administration with their 95% confidence intervals. The simulated values were lower than those observed in the clinical trial for Haloperidol,

Discussion

In an attempt to repeat in silico the results of the clinical trial of six antipsychotic agents and their effects on QTc, six simulations were performed using the Cardiac Safety Simulator. For Olanzapine, Risperidone, Thioridazine simulated mean delta QTc values were greater than average values observed clinically, respectively by 0.9, 1.1 and 4.7 ms. For Haloperidol, Ziprasidone and Quetiapine, however, the results are undervalued respectively by 1.0, 14.4 and 1.6 ms, yet those differences are

Conclusions

To conclude, through computational simulations the average values of QTc prolongation were reproduced with acceptable accuracy of 5 in 6 agents; however, it failed to fully reproduce the variability in the studied populations. The problem of variability in the population that may affect the QT interval requires further study.

Background

The QT interval corresponds to ventricular depolarization and repolarization in the ECG. It is believed that excessive QT interval prolongation increases the risk of life-threatening ventricular arrhythmias. In order to reduce the likelihood of adverse drug reactions, the ICH E14 guidance recommends conducting a “thorough QT/QTc study” that aims to assess whether the drug has an effect on QT. Due to the fact that agents blocking ionic channels in the cell membrane of cardiomyocytes may

Conflict of interest statement

A.G. states no conflict of interest. S.P. is an employee of Simcyp Limited (part of Certara) which develops software for the cardiac safety assessment (Cardiac Safety Simulator).

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