TB Research

Application of the Hollow-Fiber Infection Model to Personalized Precision Dosing of Isoniazid in a Clinical Setting

Yumi Park, Pham My Tung, Nguyen Ky Anh, Yong‐Soon Cho, Jae‐Gook Shin

Journal of Korean Medical Science · 2024-01

Abstract

BACKGROUND: The hollow-fiber infection model (HFIM) is a valuable tool for evaluating pharmacokinetics/pharmacodynamics relationships and determining the optimal antibiotic dose in monotherapy or combination therapy, but the application for personalized precision medicine in tuberculosis treatment remains limited. This study aimed to evaluate the efficacy of adjusted antibiotic doses for a tuberculosis patient using HFIM. METHODS: ) H37Ra in a HFIM that mimicked the individual pharmacokinetic profile of the patient. RESULTS: CFU/mL. CONCLUSION: Our results provide an example of the utility of the HFIM for predicting the efficacy of specific recommended doses of anti-tuberculosis drugs in real clinical setting.

MeSH terms

  • Dosing
  • Isoniazid
  • Medicine
  • Intensive care medicine
  • Computer science
  • Internal medicine