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Updated: Feb 17, 2026

Modeling Fast-scan Cyclic Voltammetry Data from Electrically Stimulated Dopamine Neurotransmission Data Using QNsim1.0
Published on: June 5, 2017
Scientific white paper on concentration-QTc modeling.
Christine Garnett1, Peter L Bonate2, Qianyu Dang3
1Division of Cardiovascular and Renal Products, Office of New Drugs, Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA. christine.garnett@fda.hhs.gov.
Concentration-QTc (C-QTc) modeling can now be the primary analysis for drug QTc prolongation risk, offering an alternative to thorough QT studies in early development. This approach aids in reliably excluding clinically relevant QTc effects.
Area of Science:
- Pharmacology and Drug Development
- Clinical Trial Design
- Biostatistics and Modeling
Background:
- The International Council for Harmonisation (ICH) E14 guideline revision permits concentration-QTc (C-QTc) modeling for drug QTc prolongation risk assessment.
- Early phase C-QTc modeling can serve as an alternative to thorough QT studies for certain drugs.
Purpose of the Study:
- To provide recommendations for planning and conducting definitive QTc assessments using C-QTc modeling in early clinical pharmacology and thorough QT studies.
- To outline best practices for study design, modeling objectives, and analysis reporting.
Main Methods:
- Utilizing C-QTc modeling as the primary analysis for QTc interval prolongation risk.
- Incorporating study design features from Phase 1 studies.
- Applying pre-specified linear mixed-effects models and evaluating model development.
Main Results:
- Demonstrates that well-designed C-QTc modeling in early studies can reliably exclude clinically relevant QTc effects.
- Establishes a framework for using C-QTc modeling as a primary analytical approach.
Conclusions:
- C-QTc modeling offers a viable and reliable alternative to traditional thorough QT studies for assessing drug-induced QTc prolongation.
- Recommendations are based on current best practices and are expected to evolve with further implementation and methodological advancements.
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