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Comparison of different methods to assess tacrolimus concentration intra-patient variability as potential marker of medication non-adherence

Background and objective: Non-adherence to tacrolimus commonly manifests as low drug concentrations and/or high intra-patient variability (IPV) of concentrations across multiple measurements. We aimed to compare several methods of tacrolimus IPV calculation and evaluate how well each reflects blood...

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Autores principales: Kostalova, Barbora, Mala-Ladova, Katerina, Sulkova, Sylvie Dusilova, Denhaerynck, Kris, De Geest, Sabina, Maly, Josef
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9609782/
https://www.ncbi.nlm.nih.gov/pubmed/36313323
http://dx.doi.org/10.3389/fphar.2022.973564
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author Kostalova, Barbora
Mala-Ladova, Katerina
Sulkova, Sylvie Dusilova
Denhaerynck, Kris
De Geest, Sabina
Maly, Josef
author_facet Kostalova, Barbora
Mala-Ladova, Katerina
Sulkova, Sylvie Dusilova
Denhaerynck, Kris
De Geest, Sabina
Maly, Josef
author_sort Kostalova, Barbora
collection PubMed
description Background and objective: Non-adherence to tacrolimus commonly manifests as low drug concentrations and/or high intra-patient variability (IPV) of concentrations across multiple measurements. We aimed to compare several methods of tacrolimus IPV calculation and evaluate how well each reflects blood concentration variation due to medication non-adherence in kidney transplant recipients. Methods: This Czech single-center retrospective longitudinal study was conducted in 2019. All outpatients ≥18 years of age, ≥3 months post-transplant, and on tacrolimus-based regimens were approached. After collecting seven consecutive tacrolimus concentrations we asked participating patients to self-report adherence to immunosuppressants (BAASIS(©) scale). The IPV of tacrolimus was calculated as the medication level variability index (MLVI), the coefficient of variation (CV), the time-weighted CV, and via nonlinearly modeled dose-corrected trough levels. These patient-level variables were analyzed using regression analysis. Detected nonlinearities in the dose-response curve were controlled for by adding tacrolimus dosing and its higher-order terms as covariates, along with self-reported medication adherence levels. Results: Of 243 patients using tacrolimus, 42% (n = 102) reported medication non-adherence. Non-adherence was associated with higher CVs, higher time-weighted CVs, and lower dose-corrected nonlinearly modeled trough levels; however, it was not associated with MLVIs. All of the significant operationalizations suggested a weak association that was similar across the applied methods. Discussion and conclusion: Implementation non-adherence was reflected by higher CV or time-weighted CV and by lower blood concentrations of tacrolimus. As an additional tool for identifying patients at risk for non-adherence, simple IPV calculations incorporated into medical records should be considered in everyday clinical practice.
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spelling pubmed-96097822022-10-28 Comparison of different methods to assess tacrolimus concentration intra-patient variability as potential marker of medication non-adherence Kostalova, Barbora Mala-Ladova, Katerina Sulkova, Sylvie Dusilova Denhaerynck, Kris De Geest, Sabina Maly, Josef Front Pharmacol Pharmacology Background and objective: Non-adherence to tacrolimus commonly manifests as low drug concentrations and/or high intra-patient variability (IPV) of concentrations across multiple measurements. We aimed to compare several methods of tacrolimus IPV calculation and evaluate how well each reflects blood concentration variation due to medication non-adherence in kidney transplant recipients. Methods: This Czech single-center retrospective longitudinal study was conducted in 2019. All outpatients ≥18 years of age, ≥3 months post-transplant, and on tacrolimus-based regimens were approached. After collecting seven consecutive tacrolimus concentrations we asked participating patients to self-report adherence to immunosuppressants (BAASIS(©) scale). The IPV of tacrolimus was calculated as the medication level variability index (MLVI), the coefficient of variation (CV), the time-weighted CV, and via nonlinearly modeled dose-corrected trough levels. These patient-level variables were analyzed using regression analysis. Detected nonlinearities in the dose-response curve were controlled for by adding tacrolimus dosing and its higher-order terms as covariates, along with self-reported medication adherence levels. Results: Of 243 patients using tacrolimus, 42% (n = 102) reported medication non-adherence. Non-adherence was associated with higher CVs, higher time-weighted CVs, and lower dose-corrected nonlinearly modeled trough levels; however, it was not associated with MLVIs. All of the significant operationalizations suggested a weak association that was similar across the applied methods. Discussion and conclusion: Implementation non-adherence was reflected by higher CV or time-weighted CV and by lower blood concentrations of tacrolimus. As an additional tool for identifying patients at risk for non-adherence, simple IPV calculations incorporated into medical records should be considered in everyday clinical practice. Frontiers Media S.A. 2022-10-13 /pmc/articles/PMC9609782/ /pubmed/36313323 http://dx.doi.org/10.3389/fphar.2022.973564 Text en Copyright © 2022 Kostalova, Mala-Ladova, Sulkova, Denhaerynck, De Geest and Maly. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Pharmacology
Kostalova, Barbora
Mala-Ladova, Katerina
Sulkova, Sylvie Dusilova
Denhaerynck, Kris
De Geest, Sabina
Maly, Josef
Comparison of different methods to assess tacrolimus concentration intra-patient variability as potential marker of medication non-adherence
title Comparison of different methods to assess tacrolimus concentration intra-patient variability as potential marker of medication non-adherence
title_full Comparison of different methods to assess tacrolimus concentration intra-patient variability as potential marker of medication non-adherence
title_fullStr Comparison of different methods to assess tacrolimus concentration intra-patient variability as potential marker of medication non-adherence
title_full_unstemmed Comparison of different methods to assess tacrolimus concentration intra-patient variability as potential marker of medication non-adherence
title_short Comparison of different methods to assess tacrolimus concentration intra-patient variability as potential marker of medication non-adherence
title_sort comparison of different methods to assess tacrolimus concentration intra-patient variability as potential marker of medication non-adherence
topic Pharmacology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9609782/
https://www.ncbi.nlm.nih.gov/pubmed/36313323
http://dx.doi.org/10.3389/fphar.2022.973564
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