Receiver Operating Characteristic Analysis and Clinical Trial Simulation to Inform Dose Titration Decisions

Area of Science:

• Pharmacometrics
• Clinical Pharmacology
• Biostatistics

Background:

• Selecting optimal drug doses in clinical trials is challenging when therapeutic and toxic concentrations are narrow.
• Variability in drug exposure and response complicates dose selection.

Purpose of the Study:

• To develop and evaluate a novel quantitative approach for optimizing dose titration in clinical trials.
• To maximize drug efficacy and safety through individualized dosing strategies.

Main Methods:

• Simulated pharmacokinetic (PK), pharmacodynamic (PD), efficacy, and toxicity models under various variability scenarios.
• Employed Receiver Operating Characteristic (ROC) and Clinical Trial Simulation (CTS) to optimize dose titration.
• Evaluated scenarios including low variability, high residual, interoccasion, interindividual, and shallow toxicity slopes.

Main Results:

• The novel approach significantly reduced toxicity by 87.4%–93.5% and increased efficacy by 52.7%–243%.
• Interindividual PK variability had a relatively minor impact on optimal cutoff values compared to other variability sources.
• Optimized dose titration demonstrated an individualized approach leveraging exposure-response relationships.

Conclusions:

• ROC/CTS methods provide an effective framework for optimizing dose titration in clinical trials.
• This quantitative approach enhances the benefit-risk profile of drugs by personalizing dosage.
• The findings support individualized medicine by optimizing drug exposure for maximum efficacy and minimal toxicity.