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Using a three-compartment model improves the estimation of iohexol clearance to assess glomerular filtration rate

Plasma clearance of iohexol is a key tool to precisely determine glomerular filtration rate (GFR) in clinical research and clinical practice. Despite evidence that iohexol pharmacokinetics are described best by three-compartment models, two-compartment approaches (Schwartz approach) are customary, w...

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Autores principales: Taubert, Max, Ebert, Natalie, Martus, Peter, van der Giet, Markus, Fuhr, Uwe, Schaeffner, Elke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6286374/
https://www.ncbi.nlm.nih.gov/pubmed/30531802
http://dx.doi.org/10.1038/s41598-018-35989-x
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author Taubert, Max
Ebert, Natalie
Martus, Peter
van der Giet, Markus
Fuhr, Uwe
Schaeffner, Elke
author_facet Taubert, Max
Ebert, Natalie
Martus, Peter
van der Giet, Markus
Fuhr, Uwe
Schaeffner, Elke
author_sort Taubert, Max
collection PubMed
description Plasma clearance of iohexol is a key tool to precisely determine glomerular filtration rate (GFR) in clinical research and clinical practice. Despite evidence that iohexol pharmacokinetics are described best by three-compartment models, two-compartment approaches (Schwartz approach) are customary, which might result in avoidable bias and imprecision. We aimed to provide a population pharmacokinetic (popPK) model of iohexol by re-evaluating data from the Berlin Initiative Study (BIS) to compare respective clearance estimates to the Schwartz approach and to assess the impact of revised clearance estimates on the BIS equations. A popPK model was developed based on iohexol plasma samples (8–10 per subject, iohexol dose 3235 mg) from 570 elderly patients. A three-compartment model appropriately described the pharmacokinetics of iohexol (clearance 57.4 mL/min, CV 33%). Compared to the three-compartment model, clearance values were overestimated by the Schwartz approach (bias 6.5 mL/min), resulting in limited effects on regression coefficients of the BIS equations (e.g., proportionality factor of BIS2 changed from 767 to 720). Predictions based on the BIS2 equation were biased (5.4 mL/min/1.73 m²) and the sensitivity to detect a GFR < 60 mL/min/1.73 m² was low compared to the revised equation (72% versus 89%). Three-compartment models should be employed to assess iohexol pharmacokinetics.
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spelling pubmed-62863742018-12-19 Using a three-compartment model improves the estimation of iohexol clearance to assess glomerular filtration rate Taubert, Max Ebert, Natalie Martus, Peter van der Giet, Markus Fuhr, Uwe Schaeffner, Elke Sci Rep Article Plasma clearance of iohexol is a key tool to precisely determine glomerular filtration rate (GFR) in clinical research and clinical practice. Despite evidence that iohexol pharmacokinetics are described best by three-compartment models, two-compartment approaches (Schwartz approach) are customary, which might result in avoidable bias and imprecision. We aimed to provide a population pharmacokinetic (popPK) model of iohexol by re-evaluating data from the Berlin Initiative Study (BIS) to compare respective clearance estimates to the Schwartz approach and to assess the impact of revised clearance estimates on the BIS equations. A popPK model was developed based on iohexol plasma samples (8–10 per subject, iohexol dose 3235 mg) from 570 elderly patients. A three-compartment model appropriately described the pharmacokinetics of iohexol (clearance 57.4 mL/min, CV 33%). Compared to the three-compartment model, clearance values were overestimated by the Schwartz approach (bias 6.5 mL/min), resulting in limited effects on regression coefficients of the BIS equations (e.g., proportionality factor of BIS2 changed from 767 to 720). Predictions based on the BIS2 equation were biased (5.4 mL/min/1.73 m²) and the sensitivity to detect a GFR < 60 mL/min/1.73 m² was low compared to the revised equation (72% versus 89%). Three-compartment models should be employed to assess iohexol pharmacokinetics. Nature Publishing Group UK 2018-12-07 /pmc/articles/PMC6286374/ /pubmed/30531802 http://dx.doi.org/10.1038/s41598-018-35989-x Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Taubert, Max
Ebert, Natalie
Martus, Peter
van der Giet, Markus
Fuhr, Uwe
Schaeffner, Elke
Using a three-compartment model improves the estimation of iohexol clearance to assess glomerular filtration rate
title Using a three-compartment model improves the estimation of iohexol clearance to assess glomerular filtration rate
title_full Using a three-compartment model improves the estimation of iohexol clearance to assess glomerular filtration rate
title_fullStr Using a three-compartment model improves the estimation of iohexol clearance to assess glomerular filtration rate
title_full_unstemmed Using a three-compartment model improves the estimation of iohexol clearance to assess glomerular filtration rate
title_short Using a three-compartment model improves the estimation of iohexol clearance to assess glomerular filtration rate
title_sort using a three-compartment model improves the estimation of iohexol clearance to assess glomerular filtration rate
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6286374/
https://www.ncbi.nlm.nih.gov/pubmed/30531802
http://dx.doi.org/10.1038/s41598-018-35989-x
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