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. 2020 Nov 21;109(1):233–242. doi: 10.1002/cpt.2088

Table 3.

Model parameters for one‐compartment continuous learning models

Unit M1‐350 M1‐200 M1‐100 M1‐50(A) M1‐50(B) M1‐50(C) M1‐50(D) M1‐50(E)
N patients 350 200 100 50 50 50 50 50
N samples 1,549 814 452 249 208 243 178 314
N cmt 1 1 1 1 1 1 1 1
θCL
L/hr 3.98 (6.1%) 3.8 (9.5%) 3.53 (9.9%) 3.96 4.15 (15%) 3.32 (13%) 3.76 3.56
θV
L 87.7 (7.7%) 93.8 (11%) 80.1 (11%) 83.5 64.8 (20%) 76.1 (18%) 87 73
θSCR
0.648 (7.7%) 0.682 (12%) 0.679 (10%) 0.64 0.589 (21%) 0.766 (12%) 0.641 0.579
θAGE
0.0622 (36%) 0.0435 (66%) 0.0617 (59%) 0.0661 0.0814 (60%) 0.0486 (110%) 0.009 0.009
Prop. % 0.261 (3.1%) 0.259 (4.4%) 0.284 (5.7%) 0.308 0.272 (5.1%) 0.242 (8.7%) 0.291 0.293
Add. mg/L 1.68 (55%) 1.79 (67%) 2.08 (83%) 0.0105 0.477 (190%) 1.72 (160%) 0.0105 1.48
ηCL
0.384 (4.3%) 0.368 (6.7%) 0.427 (7.4%) 0.344 0.424 (16%) 0.406 (12%) 0.453 0.381
ηCLηV
0.626 (3.5%) 0.578 (5%) 0.866 (4.1%) 0.835 0.631 (8.7%) 0.388 (14%) 0.512 0.266
ηV
0.555 (11%) 0.554 (17%) 0.487 (13%) 0.457 0.403 (16%) 0.561 (21%) 0.717 0.429

Values shown are estimates with the relative standard error (RSE) expressed in parentheses. Missing RSE values indicate the covariance step could not be performed in NONMEM.

SCR, serum creatinine; N cmt, number of compartments in the training data set; N patients, number of patients in the training data set; N samples, number of vancomycin serum levels in the training data set.