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. 2022 Jul 4;61(9):1285–1296. doi: 10.1007/s40262-022-01136-z

Table 2.

Pharmacokinetic parameter estimates for the base and final models including the bootstrap (876/1000 runs successful) analysis for the final model

Parameter Base-model estimate (RSE%) Final model estimate (RSE%) Bootstrap median Bootstrap 95% CI
CL (L/day/70 kg) 0.38 (6) 0.28 (9) 0.28 0.24–0.34
Methylprednisolone 1.31 (9) 1.33 1.11–1.59
GBS disability score of 0–2 1 (fixed) 1 (fixed) 1 (fixed)
GBS disability score of 3–4 1.22 (10) 1.22 0.99–1.49
GBS disability score of 5 1.83 (15) 1.85 1.36–2.55
V1 (L) 2.83 (7) 2.87 (7) 2.87 2.54–3.34
Q (L/day) 0.26 (17) 0.25 (17) 0.25 0.16–0.36
V2 (L) 2.85 (11) 2.65 (13) 2.65 2.05–3.39
CBAS (g/L) 15.40 (6) 15.90 (8) 15.81 13.96–17.76
Disease type (if GBS) 0.67 (7) 0.65 (9) 0.66 0.57–0.75
Interindividual variability Estimate (%RSE) [shrinkage] Estimate (%RSE) [shrinkage] Bootstrap median Bootstrap 95% CI
CL (%) 58.8 (9) [17] 49.9 (10) [19] 49.0% 38.5–61.2
CBAS (%) 23.2 (8) [7] 23.1 (8) [7] 23.0% 19.6–26.8
Residual error Base model estimate Final model estimate Bootstrap median Bootstrap 95% CI
Proportional 0.12 [20] 0.12 (7) [19] 0.12 0.10–0.13

CBAS baseline immunoglobulin level, CI confidence interval, CL clearance, CV coefficient of variation, GBS Guillain–Barré syndrome, Q intercompartmental clearance, RSE relative standard error, V1 central volume of distribution, V2 peripheral volume of distribution