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. 2019 Apr 23;9(4):e022719. doi: 10.1136/bmjopen-2018-022719

Table 1.

Model characteristics of the population PK model for FVIII concentrates

Parameter Population estimate RSE (%)
Baseline FVIII:C (IU/mL) 0.211 10.9
Clearance (mL/h) 208 10
Volume of distribution (mL) 3400 4.9
Proportional error (%) 17.3 8.4
VWF:Ag on clearance −0.285 5.4
Most recent FVIII:C on baseline FVIII:C 0.891 15.8
IOV of baseline FVIII:C (%) 54.7 11.0
IIV of clearance (%) 37.4 19.7
IIV of volume of distribution (%) 20.8 26.8

The covariate associations between VWF:Ag and clearance was modelled as a non-linear function, while the association between most recent FVIII:C and baseline FVIII:C was modelled as a linear function. The numbers for the covariate associations (−0.285 and 0.891) describe both the shape and magnitude of the covariate effect: the more the number deviates from 0, the larger the effect of a covariate on the PK parameter.

IIV, interindividual variability; IOV, interoccasion variability; RSE, relative standard error; VWF:Ag, von Willebrand factor antigen.