Why the study?
QT interval-based evaluation of drug-induced Torsade de Pointes risk lacks specificity, leading to expanding attempts to utilize in silico simulation models for more accurate drug safety evaluation.
In silico models, including 3D heart and torso simulations, are emerging as important tools for more accurate evaluation of drug-induced proarrhythmic risk compared to traditional QT interval assessment.
QT-based TdP screening may exclude safe drugs; leaves open whether in silico models improve risk stratification.
Safety evaluation of drugs requires examination of the risk of generating Torsade de Pointes (TdP) because it can lead to sudden cardiac death. Until recently, the QT interval in the electrocardiogram (ECG) has been used in the evaluation of TdP risk because the QT interval is known to be associated with the development of TdP. Although TdP risk evaluation based on QT interval has been successful in removing drugs with TdP risk from the market, some safe drugs may have also been affected due to the low specificity of QT interval-based evaluation. For more accurate evaluation of drug safety, the comprehensive in vitro proarrhythmia assay (CiPA) has been proposed by regulatory agencies, industry, and academia. Although the CiPA initiative includes in silico evaluation of cellular action potential as a component, attempts to utilize in silico simulation in drug safety evaluation are expanding, even to simulating human ECG using biophysical three-dimensional models of the heart and torso under the effects of drugs. Here, we review recent developments in the use of in silico models for the evaluation of the proarrhythmic risk of drugs. We review the single cell, one-dimensional, two-dimensional, and three-dimensional models and their applications reported in the literature and discuss the possibility of utilizing ECG simulation in drug safety evaluation.
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Hwang et al. (2020) studied this question.
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