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Population Pharmacokinetic Study of Benzylpenicillin in Critically Unwell Adults.

Reya V ShahKarin KipperEmma H BakerCharlotte I S BarkerIsobel OldfieldBarbara J PhilipsAtholl JohnstonJeffrey LipmanAndrew RhodesMarina BasarabMike SharlandSarraa AlmahdiRachel M WakeJoseph F StandingJeffrey Lipman
Published in: Antibiotics (Basel, Switzerland) (2023)
Pharmacokinetics are highly variable in critical illness, and suboptimal antibiotic exposure is associated with treatment failure. Benzylpenicillin is a commonly used beta-lactam antibiotic, and pharmacokinetic data of its use in critically ill adults are lacking. We performed a pharmacokinetic study of critically unwell patients receiving benzylpenicillin, using data from the ABDose study. Population pharmacokinetic modelling was undertaken using NONMEM version 7.5, and simulations using the final model were undertaken to optimize the pharmacokinetic profile. We included 77 samples from 12 participants. A two-compartment structural model provided the best fit, with allometric weight scaling for all parameters and a creatinine covariate effect on clearance. Simulations (n = 10,000) demonstrated that 25% of simulated patients receiving 2.4 g 4-hourly failed to achieve a conservative target of 50% of the dosing interval with free drug above the clinical breakpoint MIC (2 mg/L). Simulations demonstrated that target attainment was improved with continuous or extended dosing. To our knowledge, this study represents the first full population PK analysis of benzylpenicillin in critically ill adults.
Keyphrases
  • electronic health record
  • molecular dynamics
  • body mass index
  • healthcare
  • emergency department
  • adverse drug
  • machine learning
  • big data
  • artificial intelligence
  • multidrug resistant
  • weight loss