AI Article Synopsis

  • The study focused on understanding how micafungin works in Chinese sepsis patients and aimed to optimize dosages to ensure effective treatment.
  • Blood samples from 32 sepsis patients were analyzed to create a pharmacokinetic model, and simulations estimated the likelihood of achieving effective drug levels against certain Candida species.
  • Findings showed that higher doses of micafungin (at least 200-250 mg daily) are needed for effectiveness against specific Candida types, suggesting the standard dose (100 mg) may not be sufficient for non-Candida albicans infections.

Article Abstract

Purpose: This study aimed to identify parameters that influence micafungin pharmacokinetics in Chinese patients with sepsis in the intensive care unit and optimize micafungin dosage by determining the probability of reaching pharmacodynamic targets.

Methods: Blood samples were collected from 32 Chinese patients with sepsis who were treated with micafungin. The samples were analyzed and used to build a population pharmacokinetic model. Monte Carlo simulations were performed to estimate the probability of achieving adequate plasma levels of micafungin against Candida species.

Results: Alanine aminotransferase and sequential organ failure assessment score were found to significantly influence the clearance and peripheral distribution volume of micafungin, respectively. Monte Carlo simulations based on area under the plasma concentration-time curve over 24 h showed that patients must be administered at least 200 and 250 mg micafungin daily to reach minimum inhibitory concentration breakpoints of 0.032 and 0.064 mg/L for Candida glabrata and Candida tropicalis, respectively. Additionally, a probability of target attainment of ≥ 90% could not be achieved for Candida krusei or Candida parapsilosis with a 300 mg daily dose.

Conclusions: The recommended daily dose of micafungin (100 mg) may produce low clinical success ratios in non-Candida albicans infections; therefore, higher doses should be administered to improve clinical outcomes.

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Source
http://dx.doi.org/10.1007/s11095-020-02980-zDOI Listing

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