calc_ss_3cmt {pmxTools} | R Documentation |
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, justin.wilkins@occams.com
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)