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Related Concept Videos

Pharmacodynamic Models: Overview01:27

Pharmacodynamic Models: Overview

Pharmacodynamic (PD) responses describe the interaction between a drug and its biological target, culminating in a physiological effect. These responses can be classified into different types: continuous variables, such as blood glucose levels; categorical outcomes, like survival rates; and time-to-event metrics, such as disease progression. Understanding and modeling PD responses are critical for optimizing drug efficacy and safety.PD models describe the relationship between drug concentration...
Pharmacokinetic–Pharmacodynamic Relationship: Problems01:24

Pharmacokinetic–Pharmacodynamic Relationship: Problems

The empirical approach to drug therapy optimization relies on correlating pharmacological response with administered dosage. Such an approach can be costly, time-consuming, and often yields poor correlation due to variables like formulation factors and drug elimination characteristics. A more precise approach correlates response with plasma drug concentration or the amount of drug in the body, rather than dosage. This is achieved through pharmacokinetic-pharmacodynamic (PK/PD) modeling, which...
Pharmacokinetic–Pharmacodynamic Relationship: Model Components01:14

Pharmacokinetic–Pharmacodynamic Relationship: Model Components

Pharmacokinetic-pharmacodynamic (PK–PD) modeling is essential in drug development and clinical pharmacology. It provides a quantitative framework to predict drug behavior and response over time. This approach integrates pharmacokinetics (PK), which describes the drug's absorption, distribution, metabolism, and excretion, with pharmacodynamics (PD), which characterizes the drug’s biological effects and mechanisms of action.The disposition kinetics of a drug determine its plasma...
Pharmacokinetic–Pharmacodynamic Relationship: Duration of Dose-Effect Relationship01:14

Pharmacokinetic–Pharmacodynamic Relationship: Duration of Dose-Effect Relationship

For drugs producing a quantal response, onset occurs when plasma concentration reaches a minimum effective level (Cmin). The drug's action duration depends on how long the plasma concentration remains above Cmin.Two primary factors influence this duration: dose size and the rate of drug removal from the action site. Both depend on the drug's redistribution to poorly perfused tissues and elimination processes. A larger dose promotes rapid onset and prolongs the effect's duration.Consider a...
Pharmacokinetic–Pharmacodynamic Relationship: Intensity of Dose-Effect Relationship01:23

Pharmacokinetic–Pharmacodynamic Relationship: Intensity of Dose-Effect Relationship

Pharmacodynamics explores the relationship between drug concentration and its effect. In a quantal response drug, the duration of action better correlates with drug concentration, while for graded effect drugs, the intensity of response is more relevant. This intensity depends on the dose, drug removal rate, and the region of the concentration–response curve.The concentration–response curve can be divided into three regions. Region 3 (80–100% maximum response) demonstrates that even as drug...
Pharmacokinetic–Pharmacodynamic Relationship: Exposure, Response and Effect01:26

Pharmacokinetic–Pharmacodynamic Relationship: Exposure, Response and Effect

The pharmacokinetic-pharmacodynamic (PK-PD) relationship describes the intricate link between drug exposure, efficacy, and toxicity, forming the foundation for optimal dosing regimens. This relationship uses mathematical modeling to characterize drug concentration-effect dynamics, ensuring precise therapeutic outcomes.Exposure represents the pharmacokinetic aspect of the PK-PD relationship, denoting the drug amount that elicits a biological response. It is typically quantified by administered...

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Antimicrobial Synergy Testing by the Inkjet Printer-assisted Automated Checkerboard Array and the Manual Time-kill Method
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Antimicrobial Synergy Testing by the Inkjet Printer-assisted Automated Checkerboard Array and the Manual Time-kill Method

Published on: April 18, 2019

Relationship between pharmacodynamic indices and killing patterns in vitro.

Johan W Mouton1

  • 1Department of Medical Microbiology, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands. jwmouton@gmail.com

Future Microbiology
|June 29, 2011
PubMed
Summary

This study introduces a novel framework for classifying antimicrobial agents based on their kill rates, moving beyond arbitrary categories. This approach simplifies understanding drug efficacy and optimizing dosing regimens for better in vivo results.

Area of Science:

  • Pharmacology
  • Microbiology
  • Drug Development

Background:

  • Current antimicrobial classifications (pharmacokinetic/pharmacodynamic, concentration/time dependent) are arbitrary.

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Comprehensive Analysis of Drug Response using the FLICK Assay
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Antimicrobial Synergy Testing by the Inkjet Printer-assisted Automated Checkerboard Array and the Manual Time-kill Method
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Published on: April 18, 2019

Comprehensive Analysis of Drug Response using the FLICK Assay
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Comprehensive Analysis of Drug Response using the FLICK Assay

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  • Existing methods for linking in vitro kill kinetics to in vivo pharmacodynamics are cumbersome and difficult to interpret.