Journal of Global Antimicrobial Resistance (Jun 2023)

Pharmacokinetic/pharmacodynamic comparison between generic and brand-name levofloxacin based on Monte Carlo simulation

  • Pan Ma,
  • Shenglan Shang,
  • Wei Feng,
  • Chang Liu,
  • Fang Liu,
  • Lirong Xiong,
  • Qing Dai,
  • Yongchuan Chen

Journal volume & issue
Vol. 33
pp. 120 – 129

Abstract

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ABSTRACT: Objective: Generic medications are widely used because of their low cost. However, some generic medications show lower quality and clinical efficacy compared with brand-name medications, especially for antimicrobial drugs. Levofloxacin is a fluoroquinolone antimicrobial drug with excellent antimicrobial activity and wide antimicrobial spectrum, while it is susceptible to drug resistance. Our study aims to evaluate the bioequivalence of generic and brand-name levofloxacin. Methods: The pharmacokinetic (PK) parameters (Cmax, AUC0∼24, Tmax, and t1/2), pharmacodynamic (PD) parameters (in vitro antibacterial activity and the inhibition of resistant mutation), and PK/PD analysis (the probability of target attainment; the cumulative fraction of response) calculated by Monte Carlo simulation were investigated. Results: Our results demonstrated that compared with generics, brand-name levofloxacin not only had higher drug content, it also showed higher antimicrobial susceptibility, higher resistance to mutation ability, and higher percentage of each dosage interval wherein plasma concentration of antimicrobial agents exceeded the MPC90 (mutant prevention concentration to prevent the mutation of 90% strains) against various clinical isolates. Although the differences in AUC0∼24 between brand-name levofloxacin and generics were not statistically significant (P > 0.05, F test), Monte Carlo simulation results showed cumulative fraction of response values for PK/PD of brand-name medications were higher than generics. Conclusion: Our results indicated that PK or PD equivalence did not imply therapeutic equivalence; thus, we suggest including PK/PD analysis in the bioequivalence evaluation system, which benefits prediction of clinical outcome with high application value.

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