Baseline selection in concentration-QTc modeling: impact on assay sensitivity.

The baseline selection in concentration-QTc (C-QTc) modeling is not well studied in the literature. Time-matched baseline and pre-dose baseline have been commonly used as a covariate in C-QTc modeling for parallel and crossover study, respectively. It has been showed that the C-QTc model using time-matched baseline has a low chance of showing assay sensitivity in parallel study. To better understand the impacts of baseline section in C-QTc, we examined the original and subsampled moxifloxacin and placebo data from more than 50 of TQT studies submitted to FDA with regard to assay sensitivity. Our analyses show that baseline selection (time-matched, pre-dose, average) has an impact on prediction from C-QTc modeling and the impact depends on study design (parallel, crossover). The impact to categorical table of ΔQTc is unlikely to alter the interpretation of the outlier category (ΔQTc>60) that corresponds to the regulatory concern. The results presented here can guide C-QTc study design as well as baseline selection in C-QTc modeling.

Assay sensitivity in "Hybrid thorough QT/QTc (TQT)" study.

A concurrent positive control should be included in a thorough QTc clinical trial to validate the study according to ICH E14 guidance. Some pharmaceutical companies have started to use "hybrid TQT" study to meet ICH E14 regulatory requirements since the release of ICH E14 Q&A (R3). The "hybrid TQT" study includes the same treatment arms (therapeutic and/or supratherapeutic dose of investigational drug, placebo, and positive control) with sample size less than traditional TQT studies, but use concentration-QTc (C-QTc) analysis as primary analysis and assay sensitivity analysis. To better understand the statistical characteristics of assay sensitivity with a commonly used positive control - Moxifloxacin - in "hybrid TQT" studies, we examined the original and subsampled moxifloxacin and placebo data from more than a hundred of TQT studies submitted to FDA. The assay sensitivity results are quite consistent between classical E14 analysis and C-QTc analysis using the original datasets. Performance of assay sensitivity in "hybrid TQT" studies using subsampled data depends on number of moxifloxacin subjects, study design (crossover design and parallel design), and C-QTc model. The results presented here can aid the design of future "hybrid TQT" studies.

Concentration-QTc Relationship from a Single Ascending Dose Study of ANAVEX3-71, a Novel Sigma-1 Receptor and Allosteric M1 Muscarinic Receptor Agonist in Development for the Treatment of Frontotemporal Dementia, Schizophrenia, and Alzheimer's Disease.

This is the cardiodynamic evaluation of a single ascending dose study in healthy participants with the primary objective of assessing the effect of ANAVEX3-71, formerly AF710B, on ECG parameters. Twelve-lead ECGs were obtained at 3 time points within 1 hour prior to dosing to establish a baseline and then serially postdose. Concentration-QTc analysis of plasma concentrations of ANAVEX3-71 and metabolite M8 was conducted. ANAVEX3-71 at the studied doses did not have a clinically relevant effect on heart rate or on the PR and QRS intervals. ANAVEX3-71 alone was retained in the primary model due to small fit differences between models which included the metabolite M8. The estimated population slope of the concentration-QTcF relationship was small and slightly negative: -0.017 ms per µg/L, with a small treatment effect-specific intercept of -0.49 ms. An effect on the placebo-corrected, change-from-baseline QTc exceeding 10 ms can be excluded within the full observed ranges of plasma concentrations of ANAVEX3-71 and M8 up to ∼996 and ∼58 µg/L, respectively. The results from this cardiodynamic evaluation demonstrated that ANAVEX3-71 at single ascending doses of 5-200 mg had no clinically relevant effects on any of the studied ECG parameters.

General Principles for the Validation of Proarrhythmia Risk Prediction Models: An Extension of the CiPA In Silico Strategy.

This white paper presents principles for validating proarrhythmia risk prediction models for regulatory use as discussed at the In Silico Breakout Session of a Cardiac Safety Research Consortium/Health and Environmental Sciences Institute/US Food and Drug Administration-sponsored Think Tank Meeting on May 22, 2018. The meeting was convened to evaluate the progress in the development of a new cardiac safety paradigm, the Comprehensive in Vitro Proarrhythmia Assay (CiPA). The opinions regarding these principles reflect the collective views of those who participated in the discussion of this topic both at and after the breakout session. Although primarily discussed in the context of in silico models, these principles describe the interface between experimental input and model-based interpretation and are intended to be general enough to be applied to other types of nonclinical models for proarrhythmia assessment. This document was developed with the intention of providing a foundation for more consistency and harmonization in developing and validating different models for proarrhythmia risk prediction using the example of the CiPA paradigm.