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Population Pharmacokinetic Model for Tramadol and O-desmethyltramadol in Older Patients

BACKGROUND AND OBJECTIVES: Tramadol is commonly prescribed to manage chronic pain in older patients. However, there is a gap in the literature describing the pharmacokinetic parameters for tramadol and its active metabolite (O-desmethyltramadol [ODT]) in this population. The objective of this study...

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Autores principales: Al-Qurain, Aymen A., Upton, Richard N., Tadros, Rami, Roberts, Michael S., Wiese, Michael D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9050769/
https://www.ncbi.nlm.nih.gov/pubmed/35167052
http://dx.doi.org/10.1007/s13318-022-00756-x
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author Al-Qurain, Aymen A.
Upton, Richard N.
Tadros, Rami
Roberts, Michael S.
Wiese, Michael D.
author_facet Al-Qurain, Aymen A.
Upton, Richard N.
Tadros, Rami
Roberts, Michael S.
Wiese, Michael D.
author_sort Al-Qurain, Aymen A.
collection PubMed
description BACKGROUND AND OBJECTIVES: Tramadol is commonly prescribed to manage chronic pain in older patients. However, there is a gap in the literature describing the pharmacokinetic parameters for tramadol and its active metabolite (O-desmethyltramadol [ODT]) in this population. The objective of this study was to develop and evaluate a population pharmacokinetic model for tramadol and ODT in older patients. METHODS: Twenty-one patients who received an extended-release oral tramadol dose (25–100 mg) were recruited. Tramadol and ODT concentrations were determined using a validated liquid chromatography/tandem mass spectrometry method. A population pharmacokinetic model was developed using non-linear mixed-effects modelling. The performance of the model was assessed by visual predictive check. RESULTS: A two-compartment, first-order absorption model with linear elimination best described the tramadol concentration data. The absorption rate constant was 2.96/h (between-subject variability [BSV] 37.8%), apparent volume of distribution for the central compartment (V(1)/F) was 0.373 l (73.8%), apparent volume of distribution for the peripheral compartment (V(2)/F) was 0.379 l (97.4%), inter-compartmental clearance (Q) was 0.0426 l/h (2.19%) and apparent clearance (CL/F) was 0.00604 l/h (6.61%). The apparent rate of metabolism of tramadol to ODT (k(t)) was 0.0492 l/h (78.5%) and apparent clearance for ODT (CL(m)) was 0.143 l/h (21.6%). Identification of Seniors at Risk score (ISAR) and creatinine clearance (CrCL) were the only covariates included in the final model, where a higher value for the ISAR increased the maximum concentration (C(max)) of tramadol and reduced the BSV in Q from 4.71 to 2.19%. A higher value of CrCL reduced tramadol C(max) and half-life (T(1/2)) and reduced the BSV in V(2)/F (from 148 to 97.4%) and in CL/F (from 78.9 to 6.61%). CONCLUSION: Exposure to tramadol increased with increased frailty and reduced CrCL. Prescribers should consider patients frailty status and CrCL to minimise the risk of tramadol toxicity in such cohort of patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13318-022-00756-x.
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spelling pubmed-90507692022-05-07 Population Pharmacokinetic Model for Tramadol and O-desmethyltramadol in Older Patients Al-Qurain, Aymen A. Upton, Richard N. Tadros, Rami Roberts, Michael S. Wiese, Michael D. Eur J Drug Metab Pharmacokinet Original Research Article BACKGROUND AND OBJECTIVES: Tramadol is commonly prescribed to manage chronic pain in older patients. However, there is a gap in the literature describing the pharmacokinetic parameters for tramadol and its active metabolite (O-desmethyltramadol [ODT]) in this population. The objective of this study was to develop and evaluate a population pharmacokinetic model for tramadol and ODT in older patients. METHODS: Twenty-one patients who received an extended-release oral tramadol dose (25–100 mg) were recruited. Tramadol and ODT concentrations were determined using a validated liquid chromatography/tandem mass spectrometry method. A population pharmacokinetic model was developed using non-linear mixed-effects modelling. The performance of the model was assessed by visual predictive check. RESULTS: A two-compartment, first-order absorption model with linear elimination best described the tramadol concentration data. The absorption rate constant was 2.96/h (between-subject variability [BSV] 37.8%), apparent volume of distribution for the central compartment (V(1)/F) was 0.373 l (73.8%), apparent volume of distribution for the peripheral compartment (V(2)/F) was 0.379 l (97.4%), inter-compartmental clearance (Q) was 0.0426 l/h (2.19%) and apparent clearance (CL/F) was 0.00604 l/h (6.61%). The apparent rate of metabolism of tramadol to ODT (k(t)) was 0.0492 l/h (78.5%) and apparent clearance for ODT (CL(m)) was 0.143 l/h (21.6%). Identification of Seniors at Risk score (ISAR) and creatinine clearance (CrCL) were the only covariates included in the final model, where a higher value for the ISAR increased the maximum concentration (C(max)) of tramadol and reduced the BSV in Q from 4.71 to 2.19%. A higher value of CrCL reduced tramadol C(max) and half-life (T(1/2)) and reduced the BSV in V(2)/F (from 148 to 97.4%) and in CL/F (from 78.9 to 6.61%). CONCLUSION: Exposure to tramadol increased with increased frailty and reduced CrCL. Prescribers should consider patients frailty status and CrCL to minimise the risk of tramadol toxicity in such cohort of patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13318-022-00756-x. Springer International Publishing 2022-02-15 2022 /pmc/articles/PMC9050769/ /pubmed/35167052 http://dx.doi.org/10.1007/s13318-022-00756-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
Al-Qurain, Aymen A.
Upton, Richard N.
Tadros, Rami
Roberts, Michael S.
Wiese, Michael D.
Population Pharmacokinetic Model for Tramadol and O-desmethyltramadol in Older Patients
title Population Pharmacokinetic Model for Tramadol and O-desmethyltramadol in Older Patients
title_full Population Pharmacokinetic Model for Tramadol and O-desmethyltramadol in Older Patients
title_fullStr Population Pharmacokinetic Model for Tramadol and O-desmethyltramadol in Older Patients
title_full_unstemmed Population Pharmacokinetic Model for Tramadol and O-desmethyltramadol in Older Patients
title_short Population Pharmacokinetic Model for Tramadol and O-desmethyltramadol in Older Patients
title_sort population pharmacokinetic model for tramadol and o-desmethyltramadol in older patients
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9050769/
https://www.ncbi.nlm.nih.gov/pubmed/35167052
http://dx.doi.org/10.1007/s13318-022-00756-x
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