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Pharmacodynamics Equations

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This section details the equations that define and support the optional PBPKPlus™ model that Simulations Plus developed for modeling multiple PD effects for any drug record in a database. See:


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  • For details about the internal standards that were used to define the equations in this section, see Equation Standards.

  • The PD effect can also be referred to as the pharmacological response, or just the response, and is abbreviated as E or R, respectively. These terms and abbreviations are used interchangeably in this chapter.


Direct Response PD Model Equations


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Unless explicitly noted otherwise, “E” represents both a stimulated and an inhibited PD effect. If the PD effect is solely inhibition, then “I” is used.


Equation 3-1:  Linear model, observed PD effect versus concentration

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where:

Variable

Definition

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The PD effect.

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The total or unbound concentration of the drug in plasma.

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The slope of the plot of E versus Cp.

Equation 3-2:    Linear model, observed PD effect versus concentration with baseline

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Equation 3-3:  Log Linear model

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Equation 3-4:  Emax model, PD effect is stimulated

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Equation 3-5:  Emax model, PD effect is inhibited

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where:

Variable

Definition

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The PD effect.

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The baseline of the PD effect.

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The maximum PD response.

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The total or unbound concentration of the drug in plasma.

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The concentration of the drug at 50% of the maximum PD response.

Equation 3-6:  Hill equation

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where:

Variable

Definition

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The Hill parameter.

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The PD effect.

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The baseline of the PD effect.

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The maximum PD response.

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The total or unbound concentration of the drug in plasma.

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The concentration of the drug at 50% of the maximum PD response.

Indirect Response PD Model Equations

Equation 3-7:  Drug transfer rate for the Effect Compartment model

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where:

Variable

Definition

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The amount of drug in the plasma compartment.

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The amount of drug in the effect compartment.

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The drug transfer rate constant from the plasma compartment to the effect compartment.

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The drug transfer rate constant from the effect compartment to the plasma compartment.

Equation 3-8:    Drug mass in the Effect Compartment model

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where:

Variable

Definition

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The rate of distribution of drug from the plasma compartment to the effect compartment, referred to as the inter-compartmental distribution rate.

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The total or unbound concentration of drug in the plasma compartment.

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The total or unbound concentration of drug in the effect compartment.

Equation 3-9: Rate of change of PD effect variable in the absence of drug

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Under steady state conditions, kin = koutR0, where R0 is the baseline PD effect.

Equation 3-10: Standard inhibitory equation

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Equation 3-11: Change in PD effect variable over time, Class I indirect response model

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Equation 3-12: Change in PD effect variable over time, Class II indirect response model

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Equation 3-13: Standard stimulatory equation

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Equation 3-14: Change in PD effect variable over time, Class III indirect response model

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Equation 3-15: Change in PD effect variable over time, Class IV indirect response model

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Equation 3-16: Rate of change in quantity of target cells (Cell killing model, phase non-specific)

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where:

Variable

Definition

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The cell growth rate constant, which is the difference between the natural mitotic rate and physiologic degradation.

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The rate of the irreversible reaction.

Equation 3-17: Initial state of the system, BKG model

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where:

Variable

Definition

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The initial number of bacteria.

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The percent of pre-existing antibiotic-resistant bacteria.

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The percent of bacterial cells that are in the resting state.

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Resting state of sub-population 1.

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Resting state of sub-population 2.

Equation 3-18: Transfer rate from S population to R population, BKG model

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where:

Variable

Definition

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The maximum number of bacteria in the stationary phase.

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The growth rate constant for antibiotic-susceptible bacteria.

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The rate constant for bacterial natural death.

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The total number of bacteria across all sub-populations.

Equation 3-19: Effect of the drug on each bacterial sub-population, BKG model

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where kdrug,mut is the growth rate constant for pre-existing antibiotic-resistant bacteria.

Equation 3-20: Effect of an antibiotic drug with Power model or Sigmoidal model

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where:

Variable

Definition

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The drug concentration.

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The Hill factor in the drug-effect relationship.

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The maximum kill rate constant.

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The concentration of the drug that produces 50% of Emax.

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The shift in the concentration of the drug that is required for the drug to have the same effect on the mutant bacteria as it does on the antibiotic-susceptible bacteria,

Equation 3-21: Calculations for a precursor-dependent indirect response model

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where:

Variable

Definition

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The amount of precursor.

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The zero order rate constant for precursor production.

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The first order rate constant for response production.

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The first order rate constant for loss of precursor.

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The first order rate constant for loss of response.

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The inhibition (Class VII) or stimulation (Class VIII) of precursor production.

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The inhibition (Class V) or stimulation (Class VI) of response production.

Equation 3-22: Incorporating a circadian rhythm in the baseline response, precursor-dependent indirect response model

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where:

Variable

Definition

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The mean production of response rate.

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The amplitude of rate.

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The time of occurrence of the peak production rate.

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