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Optimising the Nadroparin Dose for Thromboprophylaxis During Hemodialysis by Developing a Population Pharmacodynamic Model Using Anti-Xa Levels

INTRODUCTION: The optimal nadroparin dose in patients undergoing hemodialysis is difficult to determine in clinical practice. Anti-Xa levels ≥ 0.4 IU/mL and < 2.0 IU/mL are suggested to prevent thrombus formation within the extracorporeal circuit whilst minimizing bleeding risk. We aimed to chara...

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Autores principales: Jaspers, Tessa C. C., Meijer, Charlotte E., Vleming, Louis Jean, Franssen, Casper F. M., Diepstraten, Jeroen, Lukens, Michael V., van den Bemt, Patricia M. L. A., Maat, Barbara, Khorsand, Nakisa, Touw, Daniël J., Koomen, Jeroen V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9652168/
https://www.ncbi.nlm.nih.gov/pubmed/36040615
http://dx.doi.org/10.1007/s40262-022-01162-x
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author Jaspers, Tessa C. C.
Meijer, Charlotte E.
Vleming, Louis Jean
Franssen, Casper F. M.
Diepstraten, Jeroen
Lukens, Michael V.
van den Bemt, Patricia M. L. A.
Maat, Barbara
Khorsand, Nakisa
Touw, Daniël J.
Koomen, Jeroen V.
author_facet Jaspers, Tessa C. C.
Meijer, Charlotte E.
Vleming, Louis Jean
Franssen, Casper F. M.
Diepstraten, Jeroen
Lukens, Michael V.
van den Bemt, Patricia M. L. A.
Maat, Barbara
Khorsand, Nakisa
Touw, Daniël J.
Koomen, Jeroen V.
author_sort Jaspers, Tessa C. C.
collection PubMed
description INTRODUCTION: The optimal nadroparin dose in patients undergoing hemodialysis is difficult to determine in clinical practice. Anti-Xa levels ≥ 0.4 IU/mL and < 2.0 IU/mL are suggested to prevent thrombus formation within the extracorporeal circuit whilst minimizing bleeding risk. We aimed to characterize the variability in the association between dose and anti-Xa levels, identify patient and dialysis characteristics that explained this variability, and optimize nadroparin dosing based on the identified characteristics. METHODS: Anti-Xa samples were collected in patients who received intravenous nadroparin as thromboprophylaxis during routine dialysis sessions. A population pharmacodynamic model was developed using non-linear mixed-effects modelling. The percentage of patients ≥ 0.4 IU/mL (efficacy) and < 2.0 IU/mL (safety) was simulated for different doses, patient and dialysis characteristics. RESULTS: Patients (n = 137) were predominantly receiving standard hemodialysis (84.7% vs. hemodiafiltration 15.3%) and had a mean bodyweight of 76.3 kg (± 16.9). Lean body mass (LBM), mode of dialysis, and dialyzer partially explained between-subject variability in anti-Xa levels. Patients on hemodiafiltration and those receiving hemodialysis with a high LBM (≥ 80 kg) had a low probability (< 29%) of anti-Xa levels ≥ 0.4 IU/mL during the entire dialysis session. All patients, except hemodialysis patients with a low LBM (< 50 kg), had a high probability (> 70%) of peak anti-Xa levels < 2.0 IU/mL. CONCLUSION: Mainly patients receiving hemodiafiltration and those receiving hemodialysis with a high LBM can benefit from a higher nadroparin dose than currently used in clinical practice, while having anti-Xa levels < 2.0 IU/mL. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40262-022-01162-x.
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spelling pubmed-96521682022-11-15 Optimising the Nadroparin Dose for Thromboprophylaxis During Hemodialysis by Developing a Population Pharmacodynamic Model Using Anti-Xa Levels Jaspers, Tessa C. C. Meijer, Charlotte E. Vleming, Louis Jean Franssen, Casper F. M. Diepstraten, Jeroen Lukens, Michael V. van den Bemt, Patricia M. L. A. Maat, Barbara Khorsand, Nakisa Touw, Daniël J. Koomen, Jeroen V. Clin Pharmacokinet Original Research Article INTRODUCTION: The optimal nadroparin dose in patients undergoing hemodialysis is difficult to determine in clinical practice. Anti-Xa levels ≥ 0.4 IU/mL and < 2.0 IU/mL are suggested to prevent thrombus formation within the extracorporeal circuit whilst minimizing bleeding risk. We aimed to characterize the variability in the association between dose and anti-Xa levels, identify patient and dialysis characteristics that explained this variability, and optimize nadroparin dosing based on the identified characteristics. METHODS: Anti-Xa samples were collected in patients who received intravenous nadroparin as thromboprophylaxis during routine dialysis sessions. A population pharmacodynamic model was developed using non-linear mixed-effects modelling. The percentage of patients ≥ 0.4 IU/mL (efficacy) and < 2.0 IU/mL (safety) was simulated for different doses, patient and dialysis characteristics. RESULTS: Patients (n = 137) were predominantly receiving standard hemodialysis (84.7% vs. hemodiafiltration 15.3%) and had a mean bodyweight of 76.3 kg (± 16.9). Lean body mass (LBM), mode of dialysis, and dialyzer partially explained between-subject variability in anti-Xa levels. Patients on hemodiafiltration and those receiving hemodialysis with a high LBM (≥ 80 kg) had a low probability (< 29%) of anti-Xa levels ≥ 0.4 IU/mL during the entire dialysis session. All patients, except hemodialysis patients with a low LBM (< 50 kg), had a high probability (> 70%) of peak anti-Xa levels < 2.0 IU/mL. CONCLUSION: Mainly patients receiving hemodiafiltration and those receiving hemodialysis with a high LBM can benefit from a higher nadroparin dose than currently used in clinical practice, while having anti-Xa levels < 2.0 IU/mL. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40262-022-01162-x. Springer International Publishing 2022-08-30 2022 /pmc/articles/PMC9652168/ /pubmed/36040615 http://dx.doi.org/10.1007/s40262-022-01162-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Original Research Article
Jaspers, Tessa C. C.
Meijer, Charlotte E.
Vleming, Louis Jean
Franssen, Casper F. M.
Diepstraten, Jeroen
Lukens, Michael V.
van den Bemt, Patricia M. L. A.
Maat, Barbara
Khorsand, Nakisa
Touw, Daniël J.
Koomen, Jeroen V.
Optimising the Nadroparin Dose for Thromboprophylaxis During Hemodialysis by Developing a Population Pharmacodynamic Model Using Anti-Xa Levels
title Optimising the Nadroparin Dose for Thromboprophylaxis During Hemodialysis by Developing a Population Pharmacodynamic Model Using Anti-Xa Levels
title_full Optimising the Nadroparin Dose for Thromboprophylaxis During Hemodialysis by Developing a Population Pharmacodynamic Model Using Anti-Xa Levels
title_fullStr Optimising the Nadroparin Dose for Thromboprophylaxis During Hemodialysis by Developing a Population Pharmacodynamic Model Using Anti-Xa Levels
title_full_unstemmed Optimising the Nadroparin Dose for Thromboprophylaxis During Hemodialysis by Developing a Population Pharmacodynamic Model Using Anti-Xa Levels
title_short Optimising the Nadroparin Dose for Thromboprophylaxis During Hemodialysis by Developing a Population Pharmacodynamic Model Using Anti-Xa Levels
title_sort optimising the nadroparin dose for thromboprophylaxis during hemodialysis by developing a population pharmacodynamic model using anti-xa levels
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9652168/
https://www.ncbi.nlm.nih.gov/pubmed/36040615
http://dx.doi.org/10.1007/s40262-022-01162-x
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