Fch {dfped}

Paediatric bioavailability according to age.

Description

Bioavailability of a child according to his/her age.

Usage

Fch(age, fabs, Eg, Eh, percCYPg, percCYPh)

Arguments

age

The age of children.

fabs

Coefficient of the absorption.

Eg

Coefficient of intestinal extraction.

Eh

Coefficient of hepatic extraction.

percCYPg

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

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.

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.Mat

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

## End(Not run)