Automated Concentration-QT Analysis and Reporting

This technical report outlines a fully automated approach for concentration-QT analysis and reporting, focusing on QT interval prolongation assessment as a marker for drug-induced arrhythmia risk in drug development. The document details the extension of traditional linear models to include nonlinear and delayed-effect models, emphasizing the automation of data preparation, model selection, and reporting processes. It describes the use of R functions to create and execute Monolix concentration-QT projects, allowing for the analysis of ΔQTc and ΔΔQTc. The report also includes a case study on dofetilide, where data from a two-period crossover study is analyzed. Key steps in the analysis process, such as data preparation, model assumption validation, and report generation using a customizable Quarto template, are presented. The findings are documented in a standard report format, including exploratory data analysis and modeling results, which are essential for regulatory submissions.