TABLE 3.
Parameter (unit) | Mean value (SD) |
||
---|---|---|---|
Geometric mean | %CV | Expected value | |
PK | |||
ktr (1/h) | 2.6 (0.16) | 49 (4.7) | 2.9 (0.19) |
ka (1/h) | 0.9 (0.12) | 29 (11) | 0.94 (0.13) |
Vc (L) | 120 (9.4) | 51 (5.9) | 140 (11) |
V2c (L) | 79 (13) | 27 (11) | 82 (14) |
V3c (L) | 750 (84) | 45 (8.5) | 820 (96) |
Q2c (L/h) | 6.8 (0.98) | 26 (11) | 7.0 (1) |
Q3c (L/h) | 7.3 (0.73) | 59 (6.6) | 8.5 (0.88) |
CLc (L/h) | 6.7 (0.31) | 30 (4.0) | 7.0 (0.33) |
PD | |||
Log10 N0 (CFU/mL) | 6.2 (0.001) | 14 (1.0) | 6.3 (0.001) |
T0 (days) | 4.4 (0.15) | 27 (2.9) | 4.6 (0.16) |
λ (1/h) | 0.001 (0.0003) | —b | 0.001 (0.0003) |
Log10 K (CFU/mL) | 8.0 (0.34) | —b | 8.0 (0.34) |
τL (h) | 23 (1.7) | 36 (8.4) | 24 (1.9) |
kd (1/h) | 0.019 (0.0021) | 53 (9.5) | 0.022 (0.0025) |
α (1/h) | 0.022 (0.0035) | 51 (18) | 0.025 (0.0043) |
EC50 (mg/L) | 1.4 (0.24) | 48 (17) | 1.6 (0.28) |
H | 1.0 (0.092) | 31 (12) | 1.0 (0.1) |
The expected value is exp(μ + ω2/2), where exp(μ) is the geometric mean and ω2 = log(CV2 + 1) is the variance with CV (coefficient of variation). The sample size was 10,000.
—, not calculated (prior distributions for λ and K).