4.2 Article

Novel concentration-QTc models for early clinical studies with parallel placebo controls: A simulation study

期刊

PHARMACEUTICAL STATISTICS
卷 20, 期 2, 页码 375-389

出版社

WILEY
DOI: 10.1002/pst.2083

关键词

baseline; constrained LDA; exposure‐ response; mixed effects model; QT interval

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The article introduces a QTc model based on a two-day covariance structure for the evaluation of drug-induced cardiac toxicity in early clinical studies. Simulation studies show that the model effectively controls false negative rates and has higher accuracy and power for positive drugs.
The QTc interval of the electrocardiogram is a pharmacodynamic biomarker for drug-induced cardiac toxicity. The ICH E14 guideline Questions and Answers offer a solution for evaluating a concentration-QTc relationship in early clinical studies as an alternative to conducting a thorough QT/QTc study. We focused on covariance structures of QTc intervals on the baseline day and dosing day (two-day covariance structure,) and proposed a two-day QTc model to analyze a concentration-QTc relationship for placebo-controlled parallel phase 1 single ascending dose studies. The proposed two-day QTc model is based on a constrained longitudinal data analysis model and a mixed effects model, thus allowing various variance components to capture the two-day covariance structure. We also propose a one-day QTc model for the situation where no baseline day or only a pre-dose baseline is available and models for multiple ascending dose studies where concentration and QTc intervals are available over multiple days. A simulation study shows that the proposed models control the false negative rate for positive drugs and have both higher accuracy and power for negative drugs than existing models in a variety of settings for the two-day covariance structure. The proposed models will promote early and accurate evaluation of the cardiac safety of new drugs.

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