scholarly journals Glomerular filtration rate in children and young adults with haemato-oncological disease and infection is best described by three-compartmental iohexol model

Author(s):  
Hiie Soeorg ◽  
Aveli Noortoots ◽  
Maarja Karu ◽  
Kadri Saks ◽  
Jana Lass ◽  
...  

Background. Children with cancer and infection may develop glomerular hyperfiltration (GH). With the aim to determine the prevalence of GH in children and young adults with haemato-oncological disease and infection we developed population pharmacokinetic model of iohexol. We further aimed to assess the accuracy of estimated glomerular filtration rate (eGFR) equations and single- or two-point measured GFR (mGFR) formulas compared with GFR based on iohexol clearance from our population pharmacokinetic model (iGFR). Procedure. Hospitalized patients (0.5-25 years) with haemato-oncological disease and infection were included if their eGFR was ≥80 mL/min/1.73 m2 at the screening visit. Iohexol plasma concentrations were described by population pharmacokinetic model. Bias, precision and accuracy of 23 eGFR equations and 18 mGFR formulas were calculated. Results. Total of 32 iohexol administrations was performed in 28 patients. Median (range) eGFR was 136 (74-234) mL/min/1.73 m2 and age 15.1 (0.8-26.0) years. Three-compartment model with allometric scaling of central, one peripheral compartment and clearance (with power 0.75) to weight fitted the best. Median (range) iGFR was 103 (68-140) mL/min/1.73 m2. All except one eGFR equation overestimated GFR. Lund-Malmö revised eGFR equation performed the best, followed by Gao equation. Of single- or two-point mGFR formulas 15 overestimated iGFR. Modified Jacobsson formula at 5.5 h performed the best, followed by Fleming formula at 3 h. Conclusions. In children and young adults with haemato-oncological disease and infection renal function is best described by iohexol clearance from three-compartmental pharmacokinetic model, while eGFR equations and single- and two-point mGFR formulas overestimate iGFR.

2009 ◽  
Vol 53 (10) ◽  
pp. 4483-4489 ◽  
Author(s):  
Bernard Georges ◽  
Jean-Marie Conil ◽  
Thierry Seguin ◽  
Stéphanie Ruiz ◽  
Vincent Minville ◽  
...  

ABSTRACT The aim of this study was to develop a population-pharmacokinetic model of ceftazidime in intensive care unit patients to include the influence of patients' characteristics on the pharmacokinetics. Forty-nine patients for model building and 23 patients for validation were included in a randomized study. They received ceftazidime at 2 g three times a day or as 6 g per day continuously. A NONMEM pharmacokinetic model was constructed, and the influences of covariates were studied. The model was validated by a comparison of the predicted and observed concentrations. A final model was elaborated from the whole population. Total clearance (CL) was significantly correlated with the glomerular filtration rate (GFR) calculated by modification of the diet in renal disease (MDRD), the central volume of distribution (V1) with intubation, and the peripheral volume of distribution (V2) with the reason for admission. The mean pharmacokinetic parameters were as follows: CL, 5.48 liters/h, 40%; V1, 10.48 liters, 34%; V2, 32.12 liters, 59%; total volume, 42.60 liters, 45%; and intercompartmental clearance, 16.19 liters/h, 42%. In the polytrauma population (mechanically ventilated), the time above the MIC at steady state never corresponds to 100% for discontinuous administration, and the target concentration of five times the MIC was reached with a 6-g/day dose only for patients with an MDRD of <150 ml/min. We showed that the GFR-MDRD, mechanical ventilation, and the reason for admission may influence the achieved concentrations of ceftazidime. Our model allows the a priori dosing to be adjusted to the individual patient.


Kidney360 ◽  
2021 ◽  
pp. 10.34067/KID.0006892020
Author(s):  
Shina Menon ◽  
Rajit K Basu ◽  
Matthew F Barhight ◽  
Stuart L Goldstein ◽  
Katja M Gist

This is an Early Access article. Please select the PDF button, above, to view it.


2013 ◽  
Vol 34 (6) ◽  
pp. 609-614 ◽  
Author(s):  
Mark C. Barnfield ◽  
Maria T. Burniston ◽  
Una Reid ◽  
Alastair M. Graham ◽  
Mick Henderson ◽  
...  

2021 ◽  
Vol 35 (S1) ◽  
Author(s):  
Alex Barnett ◽  
Matthew Babcock ◽  
Joseph Watso ◽  
Kamila Migdal ◽  
William Farqhuar ◽  
...  

2013 ◽  
Vol 79 (03) ◽  
pp. 206-213 ◽  
Author(s):  
Natavudh Townamchai ◽  
Kearkiat Praditpornsilpa ◽  
Tawatchai Chawatanarat ◽  
Yingyos Avihingsanon ◽  
Khajohn Tiranathanagul ◽  
...  

2013 ◽  
Vol 29 (5) ◽  
pp. 1082-1091 ◽  
Author(s):  
L. Hoste ◽  
L. Dubourg ◽  
L. Selistre ◽  
V. C. De Souza ◽  
B. Ranchin ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document