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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)