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Population Pharmacokinetic and Pharmacodynamic Analysis of Dalbavancin for Long-Term Treatment of Subacute and/or Chronic Infectious Diseases: The Major Role of Therapeutic Drug Monitoring. | LitMetric

AI Article Synopsis

  • A population pharmacokinetic analysis of dalbavancin assessed its effectiveness in patients with various infections using non-linear mixed effect modeling and Monte Carlo simulations.
  • The study included 69 patients, mostly with bone and joint infections, and found that creatinine clearance was the key factor influencing dalbavancin clearance.
  • Results indicated that dosage adjustments based on renal function are crucial, with specific recommendations for single or double doses of 1000 mg or 1500 mg to ensure optimal effectiveness over different time periods.

Article Abstract

A population pharmacokinetic analysis of dalbavancin was conducted in patients with different infection sites. Non-linear mixed effect modeling was used for pharmacokinetic analysis and covariate evaluation. Monte Carlo simulations assessed the probability of target attainment (PTA) of total dalbavancin concentration ≥ 8.04 mg/L over time (associated with ≥90% probability of optimal pharmacodynamic target attainment of fAUC24h/MIC > 111.1 against S. aureus) associated with a single or double dosage, one week apart, of 1000 or 1500 mg in patients with different classes of renal function. Sixty-nine patients with 289 concentrations were included. Most of them (53/69, 76.8%) had bone and joint infections. A two-compartment model adequately fitted dalbavancin concentration−time data. Creatinine clearance (CLCR) was the only covariate associated with dalbavancin clearance. Monte Carlo simulations showed that, in patients with severe renal dysfunction, the 1000 mg single or double one week apart dosage may ensure optimal PTAs of 2 and 5 weeks, respectively. In patients with preserved renal function, the 1500 mg single or double one-week apart dosage may ensure optimal PTAs of 2 and 4 to 6 weeks, respectively. Therapeutic drug monitoring should be considered mandatory for managing inter-individual variability and for supporting clinicians in long-term treatments of subacute and chronic infections.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9331863PMC
http://dx.doi.org/10.3390/antibiotics11080996DOI Listing

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