Definitions and implications of the pharmacokinetic-pharmacodynamic parameters of antibiotics in pediatric clinical

Robert Cohen1, Manon Tauzin2, Alexis Rybak3

  • 1Université Paris Est, IMRB-GRC GEMINI, Créteil, France; Clinical Research Center (CRC), Centre Hospitalier Intercommunal de Créteil, France; ACTIV, Association Clinique et Thérapeutique Infantile du Val de Marne, Créteil, France; Pediatric Infectious Pathology Group of the French Pediatric Society, Créteil, France.

Infectious Diseases Now
|September 15, 2023
PubMed

Insights

Antibiotic resistance is a major global challenge due to evolving infectious diseases and irrational antibiotic use. This guide rationalizes antibiotic therapy to combat resistance and guides treatment choices for various infections.

Area of Science:

  • Infectious Diseases
  • Microbiology
  • Pharmacology

Background:

  • Infectious disease knowledge is rapidly evolving with new agent discoveries.
  • Antibiotic resistance is a significant global health challenge.
  • Limited new antibiotic development exacerbates resistance issues.

Purpose of the Study:

  • To provide a guide for rationalizing antibiotic therapy.
  • To address the challenge of increasing antibiotic resistance.
  • To specify bacterial targets, preferred antibiotics, and alternatives for infections.

Main Methods:

  • Review of current infectious disease epidemiology.
  • Analysis of factors influencing disease patterns, including antibiotic use.
  • Compilation of evidence-based treatment recommendations.

Main Results:

  • Identification of key bacterial targets for antibiotic treatment.
  • Specification of preferred antibiotic choices and therapeutic alternatives.
  • Inclusion of diagnostic and treatment considerations for infections.

Conclusions:

  • Rational antibiotic therapy is crucial for reducing resistance.
  • Specialized knowledge is required for prescribing new antibiotic molecules.
  • This guide aims to support evidence-based infectious disease management.

Related Concept Videos

Fundamental Mathematical Principles in Pharmacokinetics: Mathematical Expressions and Units01:19

Fundamental Mathematical Principles in Pharmacokinetics: Mathematical Expressions and Units

Mathematical principles play a crucial role in pharmacokinetics, providing a framework for understanding and quantifying drug distribution and elimination dynamics in the body. By utilizing mathematical expressions and units, pharmacologists can accurately characterize the behavior of drugs, optimize dosing regimens, and predict therapeutic outcomes.
One significant application of mathematics in pharmacokinetics is the characterization of drug distribution through the volume of distribution...
785
Nonlinear Pharmacokinetics: Overview01:19

Nonlinear Pharmacokinetics: Overview

Nonlinear or dose-dependent pharmacokinetics is a phenomenon that occurs when the pharmacokinetic parameters of certain drugs deviate from linear pharmacokinetics at higher doses. These drugs do not follow the expected first-order kinetics, where the rate of drug elimination is directly proportional to the drug concentration. Instead, they exhibit a nonlinear relationship, which can be attributed to several factors.
Nonlinearity can arise due to the saturation of plasma protein-binding or...
426
Biopharmaceutics and Pharmacokinetics: Overview01:28

Biopharmaceutics and Pharmacokinetics: Overview

Understanding drugs, drug products, and their performance in pharmaceutical science is pivotal. Drugs, whether simple molecules or complex compounds, are designed to interact with the body's biological systems to diagnose, treat, or prevent diseases. Drug products include various delivery systems such as tablets, capsules, injections, and inhalers. The performance of these drug products is gauged by their ability to deliver the active ingredient to the desired site of action at the...
2.1K
Pharmacokinetic Models: Overview01:20

Pharmacokinetic Models: Overview

Pharmacokinetic models utilize mathematical analysis to achieve a detailed quantitative understanding of a drug's life cycle within the body. They are instrumental in simulating a drug's pharmacokinetic parameters, predicting drug concentrations over time, optimizing dosage regimens, linking concentrations with pharmacologic activity, and estimating potential toxicity.
There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal...
770
Nonlinear Pharmacokinetics: Role of Transporters01:27

Nonlinear Pharmacokinetics: Role of Transporters

A drug's nonlinear kinetics can be influenced by a diverse range of transporter proteins that serve as crucial players in drug distribution. These transporters, found within cells, can enhance or reduce local drug concentrations by facilitating the influx or efflux of drugs. For instance, the expression of xenobiotic transporters can be influenced by factors such as age and gender, potentially impacting the linearity of drug response.
Polymorphisms occurring in drug transporters can alter...
72
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
96