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. 2015 Jun 22;80(4):630–641. doi: 10.1111/bcp.12649

Table 2.

Population PK parameters of final model and bootstrap validation

PK parameter Population mean RSE (%) Shrinkage (%) IPV (%) RSE (%) Bootstrap (n = 2000)
Median 5th 95th
Ka (h1) = θ1 × Ka_FOR
θ1 0.52 27 17.5 37 38 0.52 0.39 0.7
Limustin, Ka_FOR = 1 + θ13
Unknown formulation, Ka_FOR = 1 + θ14
θ13 –0.76 6 - - - –0.76 –0.83 –0.69
θ14 –0.51 23 - - - –0.52 –0.68 –0.2
V/F (l) 24.16 39 14.7 66 46- 23.71 14.44 37.5
CL/F (l h–1) = θ3 × INFCYP3A5
θ3 11.98 8 - - - 12.03 10.67 13.91
If CYP3A5*1/*3, INFCYP3A5 = 1 + θ8
If CYP3A5*1/*1, INFCYP3A5 = 1 + θ9
θ8 0.5 38 - - - 0.5 0.13 0.77
θ9 0.93 33 - - - 0.95 0.16 2.21
Q/F (l h–1) 32.49 20 - - - 32.65 24.3 39.71
VT/F (l) 383.5 34 - - - 373.79 251.71 708.49
tlag (h) 0.39 6 - - - 0.39 0.35 0.43
F (%) = 100 × FDTOT × FFOR 100* - –0.47 38 22 - - -
FDTOT = e[(θ10 × (Dose–2)])
θ10 –0.3 19 - - - –0.3 –0.4 –0.22
FFOR
Limustin, FFOR = 1 + θ11
Unknown formulation, FFOR = 1 + θ12
θ11 –0.53 22 - - - –0.53 –0.67 –0.3
θ12 –0.53 16 - - - –0.51 –0.66 –0.34
Residual error [ln (ng ml–1)] 0.12 8 –0.33 35 49 0.12 0.11 0.14
*

assumed as 100%, was not estimated. CL/F, apparent blood clearance; CYP3A5, genotype of gene coding cytochrome P450-5; F, relative bioavailabilty; FDTOT, effect of the tacrolimus total dose on F; FFOR, effect of FOR on F; FOR, tacrolimus formulation that could be Prograf®, Limustin®, Framebin®, Tenacrine® or unknown; IPV, inter-patient variability; INFCYP3A5, influence of CYP3A5 genotype; KA, absorption first order rate constant; KA_FOR, effect of FOR on KA; Q/F, apparent intercompartmental clearance; RSE, relative standard error; tlag, lag time in absorption; V/F and VT/F, apparent volume of distribution volume of the central and peripheral compartments, respectively.