Key result
A local statistical test and a global test are proposed to efficiently validate thorough QTc clinical trials by detecting a 5 ms mean QTc effect from a concurrent positive control.
This paper proposes improved statistical methods (local and global tests) for validating positive controls in thorough QTc studies as required by ICH E14 guidance.
May streamline positive control validation in TQT studies; leaves open prospective validation before routine adoption.
The ICH E14 guidance (ICH, 2005 ICH . ( 2005 ). ICH E14 Guidance. The Clinical Evaluation of QT/QTc Interval Prolongation and Proarrhythmic Potential for Nonantiarrhythmic Drugs . International Conference on Harmonization , May 2005 , in Geneva, Switzerland . [Google Scholar]) recommend that a concurrent positive control should be included in a thorough QTc clinical trial to validate the study. The ICH E14 guidance (ICH, 2005 ICH . ( 2005 ). ICH E14 Guidance. The Clinical Evaluation of QT/QTc Interval Prolongation and Proarrhythmic Potential for Nonantiarrhythmic Drugs . International Conference on Harmonization , May 2005 , in Geneva, Switzerland . [Google Scholar]) state that “The positive control should have an effect on the mean QTc interval of about 5 ms (i.e., an effect that is close to the QTc effect that represents the threshold of regulatory concern, around 5 ms)”. This task may be carried out through some statistical tests. The current practice is to test at each time point where QT measurements are collected. This method is usually not efficient. In this article, I discuss two types of statistical procedures. The first one is a local statistical test to make a time-point-specific claim, i.e., to claim a mild QTc effect due to the positive control at some specific time points. A different approach, named as a global test, is also proposed, to make a general claim that the mean difference of the positive control and placebo after baseline adjustment will be about 5 ms without specifying at which time points. An example will be used to illustrate how to apply the two procedures. How to best allocate sample size in a parallel QTc study is also discussed in this paper.
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Joanne Zhang (2008) studied QTc interval prolongation. Statistical procedures for positive control testing was evaluated. A local statistical test and a global test are proposed to efficiently validate thorough QTc clinical trials by detecting a 5 ms mean QTc effect from a concurrent positive control.
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