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. 2018 Sep 24;62(10):e00877-18. doi: 10.1128/AAC.00877-18

TABLE 2.

Sequential covariate model developmenta

Model Hypothesis OFV ΔOFV Basis of model % IIV for CL (% RSE)
0 Base model 631.909 Base model 23.6 (26.4)
1 TVCL = θ1 + [θ2 · (CLCR/110)] 612.237 −19.672 Base model 18.5 (36.2)
2 TVCL = θ1 · (age/30)θ2 614.46 −17.449 Base model 19.5 (44.1)
3 TVCL = θ1 · (SCR/0.78)θ2 618.743 −13.166 Base model 21.3 (33.5)
4 TVV1 = θ1 + θ2 · sex 612.284 −19.625 Base model 24.9 (26.4)
5 TVV1 = θ1 · (WT/63)θ2 613.321 −18.588 Base model 25.5 (25.3)
6 TVQ = θ1 · (SCR/0.78)θ2 607.963 −23.946 Base model 22.5 (29.1)
7 TVQ = θ1 + θ2 · sex 617.805 −14.104 Base model 24.5 (26.5)
8 TVQ = θ1 · (WT/63)θ2 620.045 −11.834 Base model 24.5 (27.0)
9 TVCL = θ1 + [θ2 · (CLCR/110)], TVV1 = θ3 + θ4 · sex 592.092 −20.145 1 19.2 (40.2)
10 TVCL = θ1 + [θ2 · (CLCR/110)], TVV1 = θ3 · (WT/63)θ4 593.972 −18.265 1 20 (37.8)
a

OFV, objective function value; ΔOFV, change in the objective function value; IIV, interindividual variability; RSE, relative standard error; TV, typical value; CL, clearance; θi, typical value of the PK parameter; Q, intercompartmental clearance; V1, central compartment volume; SCR, serum creatinine concentration; CLCR, creatinine clearance; WT, weight.