Clch.Mat: Paediatric clearance according to the maturation adjustment...

In artemis-toumazi/dfped: Extrapolation and Bridging of Adult Information in Early Phase Dose-Finding Paediatrics Studies

Description

Compute the paediatric clearance according to the maturation adjustment (MA) for a specific age.

Usage

Clch.Mat(age, w, Clad, Wad, dataMolecule)

Arguments

age	The age of child.
w	The weight of child.
Clad	The apparent clearance of adult.
Wad	Weight of adult (or average weight in the adult population).
dataMolecule	The database of molecule.

Author(s)

Artemis Toumazi [e-mail], Caroline Petit [e-mail], Sarah Zohar [e-mail]

References

Petit, C., et al, (2016) Unified approach for extrapolation and bridging of adult information in early phase dose-finding paediatric studies, Statistical Methods in Medical Research, <doi:10.1177/0962280216671348>.

Johnson T., Rostami-Hodjegan A. and Tucker G. (2006) Prediction of clearance of eleven drugs and associated variability in neonates, infants and children, Clin. Pharmacokinet., 45:931-956.

See Also

Clch.Allo, Clch.Linear

Examples

## Not run: 
    ########
    # Note: For this example we are using a paediatric database that we have including data of 
    # children from 0 to 19 years old.
    ########

    children <- read.csv("/Users/artemistoumazi/paediatric_data_p3m/children_0_19.csv")
    AGE <- children$Age
    W <- children$Weight
    W_ad <- 70
    Cl_ad <- 3.95

    F_ad <- 0.6
    Eg <- 0
    Eh <- 0.058
    f_abs <- F_ad/((1 - Eh)*(1-Eg))
    fu_ad <- 1
    perc_CYPh <- data.frame("CYP3A4_5" = 0.7, "CYP1A2" = 0.3)
    perc_CYPg <- data.frame("CYP3A4_5" = 1)
    perc_alb <- 1
    perc_alpha1AG <- 0 

    data_molecule <- list(F_ad, f_abs, Eg, Eh, fu_ad, perc_CYPg, perc_CYPh, perc_alb, 
                          perc_alpha1AG)

    Clch.Mat(AGE, W, Cl_ad, W_ad, data_molecule)

## End(Not run)

artemis-toumazi/dfped documentation built on May 10, 2019, 1:49 p.m.