Population Pharmacokinetic Modeling for Ceftazidime-Avibactam Renal Dose Adjustments in Pediatric Patients 3 months

Richard Franzese1, Todd Riccobene2, Timothy Carrothers2

  • 1Certara Strategic Consulting, Raleigh, North Carolina, USA.

Insights

Ceftazidime-avibactam dosing for pediatric patients with kidney impairment is now clarified. New recommendations ensure safe and effective treatment for Gram-negative infections in children with reduced renal function.

Area of Science:

  • Pharmacology
  • Pediatric Nephrology
  • Infectious Diseases

Background:

  • Ceftazidime-avibactam treats serious Gram-negative infections.
  • Renal clearance necessitates dose adjustments in patients with impaired kidney function.
  • Pediatric dosing guidelines for renal impairment were previously limited.

Purpose of the Study:

  • To establish ceftazidime-avibactam dose recommendations for pediatric patients with varying degrees of renal impairment.
  • To ensure pediatric dosing achieves exposures similar to adults and maintains high probability of target attainment.
  • To provide evidence-based dosing for children aged 3 months to 18 years with renal impairment.

Main Methods:

  • Combined adult and pediatric population pharmacokinetic models were utilized.
  • Allometric scaling and nonparametric simulations were performed for dose selection.
  • Doses were guided by extrapolation from adult data and matching target exposures.

Main Results:

  • Dose adjustments for pediatric patients with estimated creatinine clearance (CrCL) ≤ 50 mL/min/1.73 m² were developed.
  • Simulations aimed to match adult steady-state exposures and probability of target attainment.
  • Recommended pediatric doses use equivalent adjustments to adult dosing strategies.

Conclusions:

  • The study provides crucial dosing guidance for ceftazidime-avibactam in pediatric patients with renal impairment.
  • These recommendations support the safe and effective use of this antibiotic in a vulnerable population.
  • Pharmacokinetic modeling and simulation were key to extrapolating adult data to pediatric populations.

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