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. 2010 May;69(5):484–497. doi: 10.1111/j.1365-2125.2010.03638.x

Table 6.

Population pharmacokinetic parameter estimates for total and unbound melphalan in 100 patients with multiple myeloma using separately developed Covariate Models that incorporated CLcr with units ml min−1

Total melphalan Unbound melphalan
Parameter Mean Bootstrap mean (%diff, 95% CI) Mean Bootstrap mean (%diff, 95% CI)
Fixed effects
CLNR (l h−1)
θ1 17.5 17.7 (1.1%, 14.1, 22.6) 81.1 81.3 (0.2%, 64.7, 100)
θ2 0.402 0.358 (−10.9%, −0.073, 0.930) 0.587 0.615 (4.8%, 0.216, 1.070)
CLR (l h−1) 10.4 10.3 (−1.0%, 5.6, 13.5) 49.7 49.1 (−1.2%, 49.3, 64.6)
V1 (l) 13.2 13.2 (0%, 10.9, 15.8) 69.3 68.5 (−1.2%, 50.6, 78.1)
Q (l h−1) 30.2 30.3 (0.3%, 26.4, 34.4) 144 142.8 (−0.8%, 118.0. 169.0)
V2 (l) 14.8 14.9 (0.7%, 13.7, 16.2) 69.7 69 (−1.0%, 61.2, 76.9)
Interindividual variability
ωCL (CV%) 26.8 26.8 (0%, 21.9, 31.5) 27.8 28.5 (2.5%, 21.6, 36.6)
ωV1 (CV%) 59.2 62.6 (5.7%, 43.4, 79.8) 26.4 39.1 (48.1%, 12.9, 68.0)
ωQ (CV%) 40.2 41.1 (2.2%, 26.6, 55.1) 45.4 46.1 (1.5%, 26.6, 61.6)
ωV2 (CV%) 34.5 33.7 (−2.6%, 30.6, 42.9) 41.0 37.2 (−9.3%, 25.3, 49.9)
Random residual variability
σ1 (SD) 0.071 0.071 (0%, 0.060, 0.082) 0.135 0.131 (−3.0%, 0.104, 0.155)
σ2 (SD) 0.082 0.080 (−2.4%, 0.059, 0.106) 0.029 0.029 (0%, 0.004, 0.053)
OBV −868 −1525
Structural models:
CL = CLNR+ CLR, where CLNR1× (HCT/34)θ2× (FFM/50)0.75 and CLR3× (CLcr/97), V1 =θ4× (FFM/50), Q =θ5, V2 =θ6

95% CI = lower and upper limits of the 95% confidence interval for population pharmacokinetic parameters obtained with 1000 bootstrap runs. %diff = (bootstrap mean – Covariate model mean)/Covariate model mean × 100, OBV = objective function value. CL, clearance; CLcr, estimated creatinine clearance (ml min−1); %CV, coefficient of variation; FFM, fat free mass (kg); HCT, haematocrit (%); Q, Intercompartmental clearance; SD, standard deviation; V1, Volume of distribution into the central compartment; V2, Volume of distribution into the peripheral compartment; WT, weight.