[Clinical Pharmacometrics Research Aimed at Individual Optimization of Infectious Disease Treatment against Antimicrobial Resistant Bacteria]

Yakugaku Zasshi. 2021;141(12):1289-1296. doi: 10.1248/yakushi.21-00167.
[Article in Japanese]

Abstract

In recent years, antimicrobial resistance bacteria such as methicillin-resistant Staphylococcus aureus (MRSA) have become a global problem. One of the countermeasures is to optimize the use of antimicrobial drugs, specifically to optimize the dosage and administration based on the therapeutic drug monitoring (TDM) and pharmacokinetics (PK)/pharmacodynamics (PD) theory. On the other hand, in clinical practice, clinical-pharmacometrics can be used for optimized management of individual patients of pharmaceutical products. Therefore, we aimed at individual optimization of infectious disease treatment for antimicrobial resistant bacteria, and tried a series of flows from model construction to clinical application, that is, practice of clinical pharmacometrics. In the context of individual optimization and optimization management of drug therapy in the medical field, it is considered that hospital pharmacists can contribute to the improvement of infectious disease treatment of antimicrobial resistance bacteria by contributing to the optimization of administration method. In addition, clinical pharmacometrics can be applied not only to antibacterial drugs but also to all drugs, and can be said to be a useful method for quantitatively evaluating the promotion of individualized administration methods for patients.

Keywords: antimicrobial resistance; antimicrobial stewardship; pharmacometrics.

Publication types

  • Review

MeSH terms

  • Aged
  • Aged, 80 and over
  • Anti-Bacterial Agents / administration & dosage*
  • Anti-Bacterial Agents / pharmacokinetics
  • Antimicrobial Stewardship / methods*
  • Bacterial Infections / drug therapy*
  • Bacterial Infections / microbiology*
  • Drug Administration Schedule
  • Drug Monitoring
  • Drug Resistance, Bacterial
  • Female
  • Humans
  • Male
  • Middle Aged
  • Precision Medicine / methods*

Substances

  • Anti-Bacterial Agents