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Related Concept Videos

Dosage Regimens: Partial Pharmacokinetic Parameters01:01

Dosage Regimens: Partial Pharmacokinetic Parameters

It is not uncommon for complete drug pharmacokinetic profiles to remain elusive in pharmacokinetics. This necessitates certain educated assumptions by pharmacokineticists to determine appropriate dosage regimens without comprehensive pharmacokinetic data from animal or human studies. One prevalent assumption is setting the bioavailability factor, denoted as F, to 1 or 100%. This assumption caters to the scenario where a drug doesn't achieve full systemic absorption, resulting in the patient...
Impact of Pharmacokinetic–Pharmacodynamic Models: Regulatory Decisions01:15

Impact of Pharmacokinetic–Pharmacodynamic Models: Regulatory Decisions

PK–PD modeling has significantly influenced FDA regulatory decisions, particularly drug approval, dosage optimization, and labeling. These models integrate pharmacokinetics (PK) and pharmacodynamics (PD) to predict drug behavior and effects, aiding in optimizing dosing regimens and enhancing the probability of clinical trial success.One notable example is Nesiritide (Natrecor®), a recombinant human brain natriuretic peptide for treating acute decompensated congestive heart failure (CHF).
Analysis of Population Pharmacokinetic Data01:12

Analysis of Population Pharmacokinetic Data

Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
Pharmacokinetic Models: Comparison and Selection Criterion01:26

Pharmacokinetic Models: Comparison and Selection Criterion

Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
Determination of Multiple Dosing Parameters: Loading and Maintenance Doses01:25

Determination of Multiple Dosing Parameters: Loading and Maintenance Doses

A loading dose is an essential pharmacological strategy to rapidly achieve the target plasma drug concentration necessary for an immediate therapeutic effect. This approach is especially critical for drugs characterized by slow absorption or extended half-lives, where delaying therapeutic plasma levels could compromise treatment outcomes. By administering a loading dose, clinicians ensure a prompt onset of drug action, even for agents with complex pharmacokinetic profiles.Achieving steady-state...
Dose Size and Dosing Frequency: Determination Methods01:21

Dose Size and Dosing Frequency: Determination Methods

Determining the optimal dose size and dosing frequency in pharmacotherapy is crucial for achieving therapeutic effectiveness while minimizing adverse effects. This article explores the methodologies employed in determining these parameters, focusing on their significance and interplay to tailor dosing regimens.Dose Size: Dose size refers to the amount of a drug administered in a single dose. It is determined based on the drug's pharmacodynamics and pharmacokinetics properties and...

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Updated: May 23, 2026

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Advancing Precision Dosing of 5-FU: Population PK Model Development, Limited Sampling Strategies, and Fit-for-Use

Zhiyuan Tan1,2, Aymara Sancho-Araiz1, Swantje Völler1

  • 1Division of Systems Pharmacology and Pharmacy, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands.

Clinical Pharmacokinetics
|May 21, 2026
PubMed
Summary

This study developed a new pharmacokinetic model for 5-fluorouracil chemotherapy to improve patient dosing. The model and a user-friendly application enable precise, individualized 5-fluorouracil (5-FU) dose adjustments for better treatment outcomes.

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Published on: April 23, 2019

Area of Science:

  • Pharmacokinetics and Pharmacodynamics
  • Chemotherapy Drug Dosing
  • Mathematical Modeling in Medicine

Background:

  • High toxicity rates (21-76%) observed in patients receiving 5-fluorouracil (5-FU) chemotherapy.
  • Interpatient pharmacokinetic variability contributes to unpredictable 5-FU drug exposure.
  • Current dosing strategies achieve target 5-FU concentrations in only ~20% of patients.

Purpose of the Study:

  • Evaluate existing 5-fluorouracil (5-FU) population pharmacokinetic models.
  • Develop an improved 5-FU pharmacokinetic model.
  • Identify optimal limited sampling strategies for accurate individual area under the concentration-time curve (AUC) estimation.
  • Facilitate model-informed precision dosing (MIPD) via a practical application.

Main Methods:

  • Analysis of patient data from four prospective clinical studies.
  • Evaluation and refinement of published 5-FU population pharmacokinetic models.
  • Development of a final two-compartment Michaelis-Menten model with body surface area as a covariate.
  • Identification of optimal limited sampling times for different 5-FU administration schedules.
  • Implementation of MIPD algorithms into a user-friendly application.

Main Results:

  • Published models underestimated 5-FU concentrations and failed to accurately predict a 24-h infusion regimen.
  • A refined two-compartment Michaelis-Menten model demonstrated superior performance.
  • Body surface area was identified as a significant covariate influencing the maximum reaction rate (Vmax).
  • Optimal limited sampling strategies were defined for both bolus plus 46-h infusion and 46-h continuous infusion regimens.
  • Model-informed precision dosing algorithms were successfully integrated into a dedicated application.

Conclusions:

  • A robust 5-fluorouracil (5-FU) population pharmacokinetic model was established using external data.
  • The model incorporates body surface area to predict 5-FU pharmacokinetics more accurately.
  • The developed limited sampling strategy and application show significant potential for individualizing 5-FU doses.
  • This approach facilitates model-informed precision dosing, aiming to optimize patient outcomes and minimize toxicity.