Easy and practical utilization of CONSAM for simulation, analysis, and optimization of complex dosing regimens

Area of Science:

• Pharmacokinetics and Pharmacodynamics
• Computational Pharmacology
• Drug Dosing Optimization

Background:

• Complex dosing regimens are common in clinical practice.
• Accurate calculation and optimization of drug dosages are crucial for patient safety and treatment efficacy.
• Existing methods for calculating nonuniform dosing regimens can be time-consuming.

Purpose of the Study:

• To introduce CONSAM, a general dosing program for calculating complex dosing regimens.
• To demonstrate the program's utility in optimizing drug dosages for individual patients.
• To present a novel parameter, Cuneq(T), for characterizing drug concentrations with irregular dosing.

Main Methods:

• Development of a general dosing program (CONSAM) using a universal dosing regimen approach.
• Simulation of complex dosing regimens for linear models with up to n=3 compartments.
• Curve fitting of subject data to obtain individual estimates for dosage optimization.
• Estimation of the new parameter Cuneq(T).

Main Results:

• CONSAM provides a rapid method for calculating nonuniform dosing regimens.
• The program enables individual subject data curve fitting for personalized dosage optimization.
• The study successfully optimized a theophylline regimen using the program.
• A new parameter, Cuneq(T), was estimated for drugs with irregular dosing intervals.

Conclusions:

• CONSAM is an efficient tool for calculating and optimizing complex drug dosing regimens.
• The program's ability to handle individual subject data and irregular dosing intervals enhances its clinical applicability.
• The introduction of Cuneq(T) offers a valuable metric for assessing drug exposure under non-steady-state conditions.