calc_ss_3cmt: Calculate C(t) for a 3-compartment linear model at...

In pmxTools: Pharmacometric and Pharmacokinetic Toolkit

Calculate C(t) for a 3-compartment linear model at steady-state

Description

Calculate C(t) for a 3-compartment linear model at steady-state

Usage

calc_ss_3cmt(tad, tau, dose, dur = NULL, tinf = NULL, ...)

calc_ss_3cmt_linear_bolus(tad, tau, dose, ...)

calc_ss_3cmt_linear_oral_1_lag(tad, tau, dose, ...)

calc_ss_3cmt_linear_infusion(tad, tau, dose, tinf, ...)

calc_ss_3cmt_linear_oral_0(tad, tau, dose, dur, ...)

calc_ss_3cmt_linear_oral_0_lag(tad, tau, dose, dur, ...)

calc_ss_3cmt_linear_oral_1(tad, tau, dose, ...)

Arguments

tad	Time after dose (h)
tau	Dosing interval (h)
dose	Dose
dur	Duration of zero-order absorption (h)
tinf	Duration of infusion (h)
...	Passed to 'calc_derived_3cpt()'

Value

Concentration of drug at requested time (t) at steady-state, given provided set of parameters and variables.

Functions

• calc_ss_3cmt_linear_bolus(): Calculate C(t) for a 3-compartment linear model at steady state with IV bolus dosing

• calc_ss_3cmt_linear_oral_1_lag(): Calculate C(t) for a 3-compartment linear model at steady-state with first-order oral dosing with a lag time

• calc_ss_3cmt_linear_infusion(): Calculate C(t) for a 3-compartment linear model at steady state with IV infusions

• calc_ss_3cmt_linear_oral_0(): Calculate C(t) for a 3-compartment linear model at steady state, with zero-order absorption

• calc_ss_3cmt_linear_oral_0_lag(): Calculate C(t) for a 3-compartment linear model at steady state, with zero-order absorption and lag time

• calc_ss_3cmt_linear_oral_1(): Calculate C(t) for a 3-compartment linear model at steady-state with first-order oral dosing

Author(s)

Justin Wilkins, [e-mail]

References

Bertrand J & Mentre F (2008). Mathematical Expressions of the Pharmacokinetic and Pharmacodynamic Models implemented in the Monolix software. http://lixoft.com/wp-content/uploads/2016/03/PKPDlibrary.pdf

Rowland M, Tozer TN. Clinical Pharmacokinetics and Pharmacodynamics: Concepts and Applications (4th). Lippincott Williams & Wilkins, Philadelphia, 2010.

Examples

Ct <- calc_ss_3cmt_linear_bolus(t = 11.75, CL = 3.5, V1 = 20, V2 = 500,
    V3 = 200, Q2 = 0.5, Q3 = 0.05, dose = 100, tau=24)
Ctrough <- calc_ss_3cmt_linear_oral_1_lag(t = 11.75, CL = 3.5, V1 = 20, V2 = 500,
    V3 = 200, Q2 = 0.5, Q3 = 0.05, ka = 1, dose = 100, tau=24, tlag = 1.5)
Ct <- calc_ss_3cmt_linear_infusion(tad = 11.75, CL = 2.5, V1 = 20, V2 = 50,
    V3 = 100, Q2 = 0.5, Q3 = 0.05, dose = 1000, tinf=1, tau=24)
Ct <- calc_ss_3cmt_linear_oral_0(tad = 11.75, CL = 3.5, V1 = 20, V2 = 500,
    V3 = 200, Q2 = 0.5, Q3 = 0.05, dur = 1, dose = 100, tau = 24)
Ct <- calc_ss_3cmt_linear_oral_0_lag(tad = 11.75, CL = 3.5, V1 = 20, V2 = 500,
    V3 = 200, Q2 = 0.5, Q3 = 0.05, dur = 1, dose = 100, tau = 24, tlag = 1.5)
Ct <- calc_ss_3cmt_linear_oral_1(tad = 11.75, CL = 3.5, V1 = 20,
    V2 = 500, V3 = 200, Q2 = 0.5, Q3 = 0.05, ka = 1, dose = 100, tau = 24)

pmxTools documentation built on March 7, 2023, 7:58 p.m.