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dfped (version 1.1)

Clchu: Clearance of the unbound fraction of a specific molecule for the paediatric population.

Description

Compute the clearance of the unbound fraction of a specific molecule for the paediatric population.

Usage

Clchu(age, w, Clad, Wad, fabs, fuAd, Fad, Eg, Eh, percCYPh)

Arguments

age

The age of children.

w

The weight of child.

Clad

The apparent clearance in the adult population.

Wad

The weight of adult (or average weight in the adult population).

fabs

Coefficient of absorption for the molecule.

fuAd

Unbound bioavailability for adults for the molecule.

Fad

Bioavailability for adults.

Eg

Coefficient of intestinal extraction.

Eh

Coefficient of hepatic extraction.

percCYPh

Vector giving the percentage of the molecule metabolised for each cytochrome in the liver in adults. Dataframe with two column - column 1: CYP name, column 2: percentage of the molecule metabolised.

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

Cladu

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)

    Clchu(AGE, W, Cl_ad, W_ad, f_abs, fu_ad, F_ad, Eg, Eh, perc_CYPh)
# }

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