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Table 5 Linear regression parameters for predicting PK parameters using drug properties

From: Can physicochemical properties of antimicrobials be used to predict their pharmacokinetics during extracorporeal membrane oxygenation? Illustrative data from ovine models

Group Dependent Independent Mean Lower Upper p Value
HS CL logP −0.54 −2.37 1.29 0.556
E24H CL logP −0.12 −0.86 0.62 0.744
SE24H CL logP −0.41 −1.09 0.28 0.235
HS CL PB −0.13 −0.22 −0.03 0.01
E24H CL PB −0.08 −0.11 −0.04 <0.001
SE24H CL PB −0.07 −0.10 −0.04 <0.001
HS Vss logP −0.48 −8.43 7.46 0.903
E24H Vss logP 2.85 1.73 3.97 <0.001
SE24H Vss logP 3.84 2.18 5.50 <0.001
HS Vss PB −0.50 −0.92 −0.09 0.017
E24H Vss PB −0.10 −0.17 −0.04 0.004
SE24H Vss PB −0.10 −0.21 0.00 0.056
  1. PB protein binding, logP octanol-water partition coefficient (measure of drug lipophilicity)
  2. Separate results for each group are presented for healthy sheep (HS, n = 7), healthy sheep on extracorporeal membrane oxygenation (E24H, n = 7), sheep with smoke inhalation acute lung injury on extracorporeal membrane oxygenation (SE24H, n = 6) and pharmacokinetic (PK) parameters clearance (CL) and steady-state volume of distribution (Vss)