Prediction of lidocaine tissue concentrations following different dose regimes during cardiac arrest using a physiologically based pharmacokinetic model
Ja. Grillo et al., Prediction of lidocaine tissue concentrations following different dose regimes during cardiac arrest using a physiologically based pharmacokinetic model, RESUSCITAT, 50(3), 2001, pp. 331-340
Background: The purpose of our study was to develop a physiologically based
pharmacokinetic (PBPK) model describing the behavior of lidocaine in human
s by scaling up physiological variables from animal models of cardiac arres
t. We attempted to identify the optimal dose regime for lidocaine during ca
rdiac arrest using this model. Methods and results: We designed a flow-depe
ndent PBPK model representing nine body tissues for lidocaine. Physiologica
l organ flow rates, tissue volumes, and plasma-tissue partition parameters
for lidocaine in humans were taken from the literature. Data from published
animal studies were used to estimate loss of organ blood flow during cardi
ac arrest and lidocaine tissue partition coefficients. The model assumed a
70 kg cardiac arrest patient. The following five lidocaine dose regimes wer
e simulated: (1) 4 mg/kg IV push (IVP) (2) 1.5 mg/kg IVP then 1.5 mg/kg IVP
in 4 min., (3) 3 mg/kg IVP, (4) 2 mg/kg IVP, and (5) 1.5 mg/kg IVP. A simu
lation of Regimen 2, which is the current American Heart Association (AHA)
recommendation, suggests that the concentration of lidocaine is suboptimal
at the decision point (3-5 min) to administer another dose. Regimen 4 offer
s a slightly more rapid progress towards optimal cardiac concentrations and
more acceptable brain concentrations compared to regimes 1-3. Conclusion:
Simulations from our PBPK model suggest that the current AHA lidocaine dose
regime for cardiac arrest may not result in optimal lidocaine concentratio
ns in the heart and brain. Simulations suggest that 2 mg/kg IVP may be the
most acceptable lidocaine dose regime during cardiac arrest. (C) 2001 Elsev
ier Science Ireland Ltd. All rights reserved.