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dfped (version 1.1)

Clch.Mat: Paediatric clearance according to the maturation adjustment (MA) for a specific age.

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.

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

Run this code
# 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)
# }

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