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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...
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...
Determination of Multiple Dosing Parameters: Steady-State, Minimum and Maximum Concentrations01:15

Determination of Multiple Dosing Parameters: Steady-State, Minimum and Maximum Concentrations

Gentamicin, an aminoglycoside antibiotic, is commonly administered via intermittent intravenous infusion to treat severe infections. An intermittent one-hour infusion of gentamicin, administered at eight-hour intervals, allows for precise control of plasma drug concentrations, minimizing toxicity while ensuring therapeutic efficacy. Pharmacokinetic principles govern the dynamics of plasma concentrations and can be mathematically described using specific equations.The plasma drug concentration...

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Pretargeted Radioimmunotherapy Based on the Inverse Electron Demand Diels-Alder Reaction
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Bayesian continual reassessment method for dose-finding trials infusing T cells with limited sample size.

Yuan Ji1, Lei Feng, Ping Liu

  • 1Department of Statistics, Rice University, Houston, Texas 77251-1892, USA. yji@northshore.org

Journal of Biopharmaceutical Statistics
|October 19, 2012
PubMed
Summary

This study introduces a novel statistical design for adoptive immunotherapy dose-finding trials with limited patient numbers. It efficiently evaluates safety and toxicity in small sample sizes for novel T-cell therapies.

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Area of Science:

  • Oncology
  • Immunotherapy
  • Biostatistics

Background:

  • Adoptive immunotherapy involves infusing T cells to treat malignancies.
  • Limited sample sizes in clinical trials are common due to high treatment costs and rare diseases.
  • B-lineage malignancies present challenges for traditional dose-finding studies.

Purpose of the Study:

  • To develop an innovative statistical design for dose-finding trials with small sample sizes.
  • To efficiently evaluate safety, feasibility, persistence, and toxicity of novel T-cell therapies.
  • To address the constraints of cost and patient enrollment in pilot studies.

Main Methods:

  • A novel statistical design tailored for small sample sizes (n=12).
  • Utilizes toxicity outcomes across different T-cell doses for decision-making.
  • Focuses on evaluating safety, feasibility, persistence, and toxicity profiles.

Main Results:

  • The proposed design enables efficient dose-finding with limited patient data.
  • Demonstrates a method to leverage toxicity information across doses effectively.
  • Provides a framework for similar small-sample oncology trials.

Conclusions:

  • Innovative statistical designs are crucial for advancing adoptive immunotherapy in rare or costly settings.
  • This approach optimizes information extraction from small patient cohorts.
  • Facilitates the evaluation of novel T-cell therapies for B-lineage malignancies.