Key result
Physiologically based pharmacokinetic modelling predicted post-absorption digoxin plasma concentrations accurately to within 1.5-fold of observed values, outperforming two-compartment models.
Why the study?
Does PBPK modelling provide more accurate simulations of acute digoxin toxicity and response to digoxin-Fab compared to standard two-compartment modelling?
Does PBPK modelling provide more accurate simulations of acute digoxin toxicity and response to digoxin-Fab compared to standard two-compartment modelling?
PBPK modelling provides superior, realistic simulations of acute digoxin toxicity compared to conventional two-compartment modelling, potentially enabling safer and more cost-effective digoxin-Fab dosing strategies.
May enable optimized digoxin-Fab dosing; leaves open clinical translation without prospective validation.
CONTEXT: Recommended doses of digoxin-specific antibody fragments (digoxin-Fab) for treatment of acute digoxin poisoning are pharmacokinetically unsubstantiated and theoretically excessive. Physiologically based pharmacokinetic (PBPK) modelling creates clinical simulations which are closely related to physiological and pharmacokinetic behaviour. This paper details the formulation of a PBPK model of digoxin and explores its use as a simulation tool for acute digoxin toxicity and its management. MATERIALS AND METHODS: A PBPK model of digoxin was constructed and validated for acute digoxin poisoning management by comparing simulations with observed individual acute overdose patients. These simulations were compared with standard two-compartment PK model simulations. RESULTS: PBPK model simulations showed good agreement with post-absorption plasma concentrations of digoxin measured in 6 acute overdose patients. PBPK predictions were accurate to 1.5-fold or less of observed clinical values, proving to be more accurate than two-compartment simulations of the same patients which produced up to a 4.9-fold change. CONCLUSIONS: Compared to conventional two-compartment modelling, PBPK modelling is superior in generating realistic simulations of acute digoxin toxicity and the response to digoxin-Fab. Simulation capacity provides realistic, continuous data which has the potential to substantiate alternative, less expensive, and safer digoxin-Fab dosing strategies for the treatment of acute digoxin toxicity.
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Bracken et al. (2018) studied Acute digoxin poisoning (n=6). Physiologically based pharmacokinetic (PBPK) modelling vs. Standard two-compartment PK model was evaluated on Accuracy of predicted post-absorption plasma concentrations of digoxin. Physiologically based pharmacokinetic modelling predicted post-absorption digoxin plasma concentrations accurately to within 1.5-fold of observed values, outperforming two-compartment models.
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