Pharmacodynamics of gatifloxacin in experimental models of pneumococcal meningitis

G H McCracken1

  • 1Department of Pediatrics, University of Texas Southwestern Medical Center at Dallas, Dallas, TX 75235-9063, USA.

Insights

Gatifloxacin shows effectiveness against Streptococcus pneumoniae meningitis in rabbits, comparable to standard treatments. Its bactericidal activity depends on maintaining drug concentrations above the minimal bactericidal concentration (MBC).

Area of Science:

  • Pharmacology
  • Infectious Diseases
  • Microbiology

Background:

  • Rising bacterial resistance impacts meningitis treatment.
  • Fluoroquinolone use in children is limited due to potential chondrotoxicity.
  • Need for effective antibiotics against Streptococcus pneumoniae.

Purpose of the Study:

  • Evaluate gatifloxacin's efficacy in a rabbit model of pneumococcal meningitis.
  • Compare gatifloxacin to conventional regimens.
  • Determine factors influencing gatifloxacin's bactericidal activity.

Main Methods:

  • Infection of rabbits with ceftriaxone-resistant, gatifloxacin-susceptible Streptococcus pneumoniae.
  • Treatment with single- or divided-dose gatifloxacin regimens.
  • Review and comparison with existing studies.

Main Results:

  • Gatifloxacin demonstrated bacteriologic efficacy comparable to conventional regimens.
  • Bactericidal activity correlated with the area under the time-concentration curve (AUC)-to-minimal bactericidal concentration (MBC) ratio.
  • Optimal activity achieved when gatifloxacin concentrations exceeded MBC throughout the dosing interval.

Conclusions:

  • Gatifloxacin is a potentially effective agent for treating pneumococcal meningitis.
  • Therapeutic drug monitoring, focusing on AUC/MBC, is crucial for optimizing gatifloxacin's efficacy.
  • Further research may support fluoroquinolone use in specific pediatric meningitis cases.

Related Concept Videos

Pharmacodynamic Models: Linear Concentration–Effect Model01:15

Pharmacodynamic Models: Linear Concentration–Effect Model

The linear concentration–effect model, underpinned by the principle that pharmacological effect (E) is directly proportional to plasma drug concentration (C), emerges as a pivotal simplification of the Emax model for conditions where C is significantly less than EC50. This model portrays a linear trajectory of the concentration–effect relationship when drug levels are markedly below the EC50 threshold.Despite its inherent assumption of continuous effect augmentation with increasing drug...
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).
Bacterial Meningitis II: Pathophysiology01:26

Bacterial Meningitis II: Pathophysiology

Bacterial meningitis typically begins when pathogens such as Neisseria meningitidis and Streptococcus pneumoniae colonize the nasopharynx and invade the bloodstream. This process is facilitated by bacterial virulence factors, such as polysaccharide capsules, which resist phagocytosis and complement-mediated killing. Less commonly, bacteria reach the central nervous system via contiguous spread from infections like otitis media or sinusitis, through congenital or acquired dural defects, or...
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...
Pharmacodynamic Models: Direct Effect Model and Indirect Response Model01:29

Pharmacodynamic Models: Direct Effect Model and Indirect Response Model

Pharmacodynamic models are essential tools in understanding the relationship between drug concentrations and their effects on biological systems. By characterizing the dynamics of drug action, these models guide dose selection, optimize therapeutic efficacy, and inform the development of new drugs. Two major classes of pharmacodynamic models include direct effect and indirect response models.Direct Effect ModelsDirect effect models describe the immediate relationship between drug concentration...