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Dose adjustment in patients with liver cirrhosis - comparison of two different modeling approaches.

Agustos C OzbeyFabio BachmannUrs DuthalerPieter AnnaertStephen FowlerKenichi UmeharaNeil ParrottStephan Krähenbühl
Published in: Clinical pharmacology and therapeutics (2023)
Failure to perform adequate dose adjustment in patients with liver cirrhosis may be associated with increased toxicity. We compared the prediction of AUC and clearance for the six compounds of the Basel phenotyping cocktail (caffeine, efavirenz, flurbiprofen, omeprazole, metoprolol, midazolam) using a well-known physiology-based pharmacokinetic approach ("PBPK approach", Simcyp®) and a novel top-down method based on the systemic clearance in healthy volunteers adjusted for markers of liver and renal dysfunction ("top-down approach"). With few exceptions, plasma concentration-time curves were accurately predicted by the PBPK approach. In comparison to the measured AUC and clearance of these drugs in patients with liver cirrhosis and healthy controls, except for efavirenz, the estimates of both approaches were within 2 standard deviations of the mean for total and free drug concentrations. For both approaches, a correction factor for dose adjustment in patients with liver cirrhosis could be calculated for the drugs administered. AUCs calculated using the adjusted doses were comparable to the AUCs measured in control subjects, with slightly more accurate predictions generated by the PBPK approach. For drugs with a free fraction <50%, predictions using free drug concentrations were more accurate than with total drug concentrations. In conclusion, both methods provided good qualitative predictions of the changes by liver cirrhosis in the pharmacokinetics of the six compounds investigated. The top-down approach is easier to implement but the PBPK approach predicted changes in drug exposure more accurately than the top-down approach and provided reliable estimates for plasma concentrations.
Keyphrases
  • drug induced
  • hiv infected
  • oxidative stress
  • adverse drug
  • emergency department
  • mass spectrometry
  • high throughput
  • high speed