Practical guide to concentration-QTc modeling: a hands-on tutorial.

Area of Science:

• Pharmacokinetics and Pharmacodynamics
• Clinical Pharmacology
• Biostatistics

Background:

• Concentration-QTc (C-QTc) analysis is a standard model-based method for evaluating drug effects on QT interval duration.
• International Council for Harmonisation (ICH) E14 guidance and a scientific white paper established C-QTc modelling methodologies.
• Practical implementation guidance and reproducible R code are essential for scientists performing these analyses.

Purpose of the Study:

• To provide a hands-on tutorial for the practical implementation of recommended C-QTc modelling.
• To offer R code for the complete C-QTc analysis workflow, from data formatting to model predictions.
• To illustrate the methodology using real-world data with active treatments and placebo.

Main Methods:

• Utilizing R code for data preparation, exploratory data analysis, and linear mixed-effects (LME) model fitting.
• Implementing C-QTc methodology as recommended in the scientific white paper.
• Estimating the upper limit of the 90% confidence interval for baseline and placebo-corrected QTc (ΔΔQTc).

Main Results:

• The tutorial demonstrates a reproducible workflow for C-QTc analysis using real QT study data.
• The provided R code facilitates the complete analysis, including model performance assessment.
• The workflow has been successfully applied in pharmaceutical projects and accepted by regulatory authorities.

Conclusions:

• This tutorial offers a practical guide and reproducible R code for C-QTc analysis, supporting drug safety assessments.
• The methodology ensures accurate estimation of drug-induced QT interval changes.
• The workflow is validated and accepted for regulatory submissions, aiding scientists in C-QTc analysis.