A Population Pharmacokinetic Model of Tocilizumab in Kidney Transplant Patients Treated for Chronic Active Antibody-Mediated Rejection: Comparison of Plasma Exposure Between Intravenous and Subcutaneous Administration Schemes
Background Tocilizumab prevents the clinical worsening of chronic active antibody-mediated rejection (CAAMR) in kidney transplant recipients. Following a global shortage of the intravenous pharmaceutical form in 2022, patients were switched from monthly intravenous administration of 8 mg/kg to weekl...
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description | Background
Tocilizumab prevents the clinical worsening of chronic active antibody-mediated rejection (CAAMR) in kidney transplant recipients. Following a global shortage of the intravenous pharmaceutical form in 2022, patients were switched from monthly intravenous administration of 8 mg/kg to weekly subcutaneous injection of 162 mg, raising the question of bioequivalence between these schemes of administration.
Aims
We aimed to compare the areas under the curve (AUC) of tocilizumab in virtual simulations of populations treated with the two administration schemes and to identify the covariates that could contribute to pharmacokinetic variability of tocilizumab in kidney transplant patients with CAAMR who received tocilizumab as salvage treatment.
Methods
This retrospective monocentric study included 43 kidney transplant patients (202 tocilizumab concentrations) with CAAMR treated with intravenous or subcutaneous tocilizumab between December 2020 and January 2023. We developed a population pharmacokinetic model using nonlinear mixed effects modeling and identified the covariates that could contribute to tocilizumab AUC variability. Monte Carlo simulations were then performed to assess the subcutaneous and intravenous tocilizumab AUC for 0–28 days (M1), 56–84 days (M3), 140–168 days (M6), and 308–336 days (M12). Bioequivalence was defined by SC/IV AUC geometric mean ratios (GMRs) between 0.80 and 1.25.
Results
A two-compartment model with parallel linear and nonlinear elimination best described the concentration–time data. Significant covariates for tocilizumab clearance were body weight, urinary albumin-to-creatinine ratio (ACR), and inflammation status [C-reactive protein (CRP) ≥ 5 mg/L]. The GMR values and their 90% confidence intervals at M3, M6, and M12 were within the 0.8–1.25 margin for equivalence. Conversely, the 90% prediction intervals of the GMR were much wider than the 90% confidence intervals and did not fall within 0.8 and 1.25.
Conclusions
From month 3 of treatment, the subcutaneous and intravenous tocilizumab administration schemes provided average bioequivalent pharmacokinetic exposure at the population level but not at the individual level. Body weight, inflammation, ACR, and administration scheme should be considered to personalize the dose of tocilizumab for patients with CAAMR. Further studies are required to determine the target of tocilizumab exposure in kidney transplant patients with CAAMR. |
doi_str_mv | 10.1007/s40259-024-00676-z |
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Tocilizumab prevents the clinical worsening of chronic active antibody-mediated rejection (CAAMR) in kidney transplant recipients. Following a global shortage of the intravenous pharmaceutical form in 2022, patients were switched from monthly intravenous administration of 8 mg/kg to weekly subcutaneous injection of 162 mg, raising the question of bioequivalence between these schemes of administration.
Aims
We aimed to compare the areas under the curve (AUC) of tocilizumab in virtual simulations of populations treated with the two administration schemes and to identify the covariates that could contribute to pharmacokinetic variability of tocilizumab in kidney transplant patients with CAAMR who received tocilizumab as salvage treatment.
Methods
This retrospective monocentric study included 43 kidney transplant patients (202 tocilizumab concentrations) with CAAMR treated with intravenous or subcutaneous tocilizumab between December 2020 and January 2023. We developed a population pharmacokinetic model using nonlinear mixed effects modeling and identified the covariates that could contribute to tocilizumab AUC variability. Monte Carlo simulations were then performed to assess the subcutaneous and intravenous tocilizumab AUC for 0–28 days (M1), 56–84 days (M3), 140–168 days (M6), and 308–336 days (M12). Bioequivalence was defined by SC/IV AUC geometric mean ratios (GMRs) between 0.80 and 1.25.
Results
A two-compartment model with parallel linear and nonlinear elimination best described the concentration–time data. Significant covariates for tocilizumab clearance were body weight, urinary albumin-to-creatinine ratio (ACR), and inflammation status [C-reactive protein (CRP) ≥ 5 mg/L]. The GMR values and their 90% confidence intervals at M3, M6, and M12 were within the 0.8–1.25 margin for equivalence. Conversely, the 90% prediction intervals of the GMR were much wider than the 90% confidence intervals and did not fall within 0.8 and 1.25.
Conclusions
From month 3 of treatment, the subcutaneous and intravenous tocilizumab administration schemes provided average bioequivalent pharmacokinetic exposure at the population level but not at the individual level. Body weight, inflammation, ACR, and administration scheme should be considered to personalize the dose of tocilizumab for patients with CAAMR. Further studies are required to determine the target of tocilizumab exposure in kidney transplant patients with CAAMR.</description><identifier>ISSN: 1173-8804</identifier><identifier>ISSN: 1179-190X</identifier><identifier>EISSN: 1179-190X</identifier><identifier>DOI: 10.1007/s40259-024-00676-z</identifier><identifier>PMID: 39147956</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Administration, Intravenous ; Adult ; Aged ; Algorithms ; Antibodies ; Antibodies, Monoclonal, Humanized - administration & dosage ; Antibodies, Monoclonal, Humanized - pharmacokinetics ; Antibodies, Monoclonal, Humanized - therapeutic use ; Area Under Curve ; Bioequivalence ; Biomedical and Life Sciences ; Biomedicine ; Body mass index ; Body weight ; C-reactive protein ; Cancer Research ; Creatinine ; Drug dosages ; Female ; Graft rejection ; Graft Rejection - prevention & control ; Humans ; Inflammation ; Injections, Subcutaneous ; Intravenous administration ; Kidney Transplantation ; Kidney transplants ; Life Sciences ; Male ; Middle Aged ; Models, Biological ; Molecular Medicine ; Monoclonal antibodies ; Monte Carlo Method ; Monte Carlo simulation ; Original Research Article ; Patients ; Pharmaceutical sciences ; Pharmacokinetics ; Pharmacology ; Pharmacotherapy ; Plasma ; Population studies ; Proteins ; Retrospective Studies ; Simulation</subject><ispartof>BioDrugs : clinical immunotherapeutics, biopharmaceuticals, and gene therapy, 2024-09, Vol.38 (5), p.703-716</ispartof><rights>The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>2024. The Author(s), under exclusive licence to Springer Nature Switzerland AG.</rights><rights>Copyright Springer Nature B.V. Sep 2024</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c360t-53c6593bd010e2f582e17892d3b1ad0d3b95240ce3166da070f681d084284f5f3</cites><orcidid>0009-0008-2048-2154 ; 0000-0002-5785-3827</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s40259-024-00676-z$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s40259-024-00676-z$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,776,780,881,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39147956$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.univ-grenoble-alpes.fr/hal-04676307$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Arrivé, Capucine</creatorcontrib><creatorcontrib>Bazzoli, Caroline</creatorcontrib><creatorcontrib>Jouve, Thomas</creatorcontrib><creatorcontrib>Noble, Johan</creatorcontrib><creatorcontrib>Rostaing, Lionel</creatorcontrib><creatorcontrib>Stanke-Labesque, Françoise</creatorcontrib><creatorcontrib>Djerada, Zoubir</creatorcontrib><title>A Population Pharmacokinetic Model of Tocilizumab in Kidney Transplant Patients Treated for Chronic Active Antibody-Mediated Rejection: Comparison of Plasma Exposure Between Intravenous and Subcutaneous Administration Schemes</title><title>BioDrugs : clinical immunotherapeutics, biopharmaceuticals, and gene therapy</title><addtitle>BioDrugs</addtitle><addtitle>BioDrugs</addtitle><description>Background
Tocilizumab prevents the clinical worsening of chronic active antibody-mediated rejection (CAAMR) in kidney transplant recipients. Following a global shortage of the intravenous pharmaceutical form in 2022, patients were switched from monthly intravenous administration of 8 mg/kg to weekly subcutaneous injection of 162 mg, raising the question of bioequivalence between these schemes of administration.
Aims
We aimed to compare the areas under the curve (AUC) of tocilizumab in virtual simulations of populations treated with the two administration schemes and to identify the covariates that could contribute to pharmacokinetic variability of tocilizumab in kidney transplant patients with CAAMR who received tocilizumab as salvage treatment.
Methods
This retrospective monocentric study included 43 kidney transplant patients (202 tocilizumab concentrations) with CAAMR treated with intravenous or subcutaneous tocilizumab between December 2020 and January 2023. We developed a population pharmacokinetic model using nonlinear mixed effects modeling and identified the covariates that could contribute to tocilizumab AUC variability. Monte Carlo simulations were then performed to assess the subcutaneous and intravenous tocilizumab AUC for 0–28 days (M1), 56–84 days (M3), 140–168 days (M6), and 308–336 days (M12). Bioequivalence was defined by SC/IV AUC geometric mean ratios (GMRs) between 0.80 and 1.25.
Results
A two-compartment model with parallel linear and nonlinear elimination best described the concentration–time data. Significant covariates for tocilizumab clearance were body weight, urinary albumin-to-creatinine ratio (ACR), and inflammation status [C-reactive protein (CRP) ≥ 5 mg/L]. The GMR values and their 90% confidence intervals at M3, M6, and M12 were within the 0.8–1.25 margin for equivalence. Conversely, the 90% prediction intervals of the GMR were much wider than the 90% confidence intervals and did not fall within 0.8 and 1.25.
Conclusions
From month 3 of treatment, the subcutaneous and intravenous tocilizumab administration schemes provided average bioequivalent pharmacokinetic exposure at the population level but not at the individual level. Body weight, inflammation, ACR, and administration scheme should be considered to personalize the dose of tocilizumab for patients with CAAMR. Further studies are required to determine the target of tocilizumab exposure in kidney transplant patients with CAAMR.</description><subject>Administration, Intravenous</subject><subject>Adult</subject><subject>Aged</subject><subject>Algorithms</subject><subject>Antibodies</subject><subject>Antibodies, Monoclonal, Humanized - administration & dosage</subject><subject>Antibodies, Monoclonal, Humanized - pharmacokinetics</subject><subject>Antibodies, Monoclonal, Humanized - therapeutic use</subject><subject>Area Under Curve</subject><subject>Bioequivalence</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Body mass index</subject><subject>Body weight</subject><subject>C-reactive protein</subject><subject>Cancer Research</subject><subject>Creatinine</subject><subject>Drug dosages</subject><subject>Female</subject><subject>Graft rejection</subject><subject>Graft Rejection - prevention & control</subject><subject>Humans</subject><subject>Inflammation</subject><subject>Injections, Subcutaneous</subject><subject>Intravenous administration</subject><subject>Kidney Transplantation</subject><subject>Kidney transplants</subject><subject>Life Sciences</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Models, Biological</subject><subject>Molecular Medicine</subject><subject>Monoclonal antibodies</subject><subject>Monte Carlo Method</subject><subject>Monte Carlo simulation</subject><subject>Original Research Article</subject><subject>Patients</subject><subject>Pharmaceutical sciences</subject><subject>Pharmacokinetics</subject><subject>Pharmacology</subject><subject>Pharmacotherapy</subject><subject>Plasma</subject><subject>Population studies</subject><subject>Proteins</subject><subject>Retrospective Studies</subject><subject>Simulation</subject><issn>1173-8804</issn><issn>1179-190X</issn><issn>1179-190X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9ks1u1DAUhSMEoqXwAiyQJTawCNhx_swujAqtmIoRHSR2lmPfMC6JHWxnYOZteRM8k1IkFqyudf35nHvlkyRPCX5FMK5e-xxnBUtxlqcYl1WZ7u8lp4RULCUMf7l_PNO0rnF-kjzy_gZHirLqYXJCGckrVpSnya8Grew49SJoa9BqI9wgpP2mDQQt0ZVV0CPbobWVutf7aRAt0gZ90MrADq2dMH7shQloFQXABB97IAIo1FmHFhtnTZRpZNBbQI0JurVql16B0kfoE9yAPDi_QQs7jMJpH6eIfqte-EGg85-j9ZMD9BbCDwCDLk1wYgvGTh4Jo9D11MopCAOHRqMGbbSPxHGZa7mBAfzj5EEneg9PbutZ8vnd-XpxkS4_vr9cNMtU0hKHtKCyLBhtFSYYsq6oMyBVzTJFWyIUjoUVWY4lUFKWSuAKd2VNFK7zrM67oqNnyctZdyN6Pjo9CLfjVmh-0Sz5oYfz-EcUV1sS2RczOzr7fQIf-KC9hL6fN-EUM1qwPNpH9Pk_6I2dnImbcEowLTCraRWpbKaks9476O4mIJgfwsLnsPAYFn4MC9_HR89upad2AHX35E86IkBnwMcr8xXcX-__yP4Gu4HOqQ</recordid><startdate>20240901</startdate><enddate>20240901</enddate><creator>Arrivé, Capucine</creator><creator>Bazzoli, Caroline</creator><creator>Jouve, Thomas</creator><creator>Noble, Johan</creator><creator>Rostaing, Lionel</creator><creator>Stanke-Labesque, Françoise</creator><creator>Djerada, Zoubir</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><general>Springer</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>4T-</scope><scope>7T5</scope><scope>H94</scope><scope>K9.</scope><scope>7X8</scope><scope>1XC</scope><orcidid>https://orcid.org/0009-0008-2048-2154</orcidid><orcidid>https://orcid.org/0000-0002-5785-3827</orcidid></search><sort><creationdate>20240901</creationdate><title>A Population Pharmacokinetic Model of Tocilizumab in Kidney Transplant Patients Treated for Chronic Active Antibody-Mediated Rejection: Comparison of Plasma Exposure Between Intravenous and Subcutaneous Administration Schemes</title><author>Arrivé, Capucine ; Bazzoli, Caroline ; Jouve, Thomas ; Noble, Johan ; Rostaing, Lionel ; Stanke-Labesque, Françoise ; Djerada, Zoubir</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c360t-53c6593bd010e2f582e17892d3b1ad0d3b95240ce3166da070f681d084284f5f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Administration, Intravenous</topic><topic>Adult</topic><topic>Aged</topic><topic>Algorithms</topic><topic>Antibodies</topic><topic>Antibodies, Monoclonal, Humanized - administration & dosage</topic><topic>Antibodies, Monoclonal, Humanized - pharmacokinetics</topic><topic>Antibodies, Monoclonal, Humanized - therapeutic use</topic><topic>Area Under Curve</topic><topic>Bioequivalence</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedicine</topic><topic>Body mass index</topic><topic>Body weight</topic><topic>C-reactive protein</topic><topic>Cancer Research</topic><topic>Creatinine</topic><topic>Drug dosages</topic><topic>Female</topic><topic>Graft rejection</topic><topic>Graft Rejection - prevention & control</topic><topic>Humans</topic><topic>Inflammation</topic><topic>Injections, Subcutaneous</topic><topic>Intravenous administration</topic><topic>Kidney Transplantation</topic><topic>Kidney transplants</topic><topic>Life Sciences</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Models, Biological</topic><topic>Molecular Medicine</topic><topic>Monoclonal antibodies</topic><topic>Monte Carlo Method</topic><topic>Monte Carlo simulation</topic><topic>Original Research Article</topic><topic>Patients</topic><topic>Pharmaceutical sciences</topic><topic>Pharmacokinetics</topic><topic>Pharmacology</topic><topic>Pharmacotherapy</topic><topic>Plasma</topic><topic>Population studies</topic><topic>Proteins</topic><topic>Retrospective Studies</topic><topic>Simulation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Arrivé, Capucine</creatorcontrib><creatorcontrib>Bazzoli, Caroline</creatorcontrib><creatorcontrib>Jouve, Thomas</creatorcontrib><creatorcontrib>Noble, Johan</creatorcontrib><creatorcontrib>Rostaing, Lionel</creatorcontrib><creatorcontrib>Stanke-Labesque, Françoise</creatorcontrib><creatorcontrib>Djerada, Zoubir</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Docstoc</collection><collection>Immunology Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>BioDrugs : clinical immunotherapeutics, biopharmaceuticals, and gene therapy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Arrivé, Capucine</au><au>Bazzoli, Caroline</au><au>Jouve, Thomas</au><au>Noble, Johan</au><au>Rostaing, Lionel</au><au>Stanke-Labesque, Françoise</au><au>Djerada, Zoubir</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Population Pharmacokinetic Model of Tocilizumab in Kidney Transplant Patients Treated for Chronic Active Antibody-Mediated Rejection: Comparison of Plasma Exposure Between Intravenous and Subcutaneous Administration Schemes</atitle><jtitle>BioDrugs : clinical immunotherapeutics, biopharmaceuticals, and gene therapy</jtitle><stitle>BioDrugs</stitle><addtitle>BioDrugs</addtitle><date>2024-09-01</date><risdate>2024</risdate><volume>38</volume><issue>5</issue><spage>703</spage><epage>716</epage><pages>703-716</pages><issn>1173-8804</issn><issn>1179-190X</issn><eissn>1179-190X</eissn><abstract>Background
Tocilizumab prevents the clinical worsening of chronic active antibody-mediated rejection (CAAMR) in kidney transplant recipients. Following a global shortage of the intravenous pharmaceutical form in 2022, patients were switched from monthly intravenous administration of 8 mg/kg to weekly subcutaneous injection of 162 mg, raising the question of bioequivalence between these schemes of administration.
Aims
We aimed to compare the areas under the curve (AUC) of tocilizumab in virtual simulations of populations treated with the two administration schemes and to identify the covariates that could contribute to pharmacokinetic variability of tocilizumab in kidney transplant patients with CAAMR who received tocilizumab as salvage treatment.
Methods
This retrospective monocentric study included 43 kidney transplant patients (202 tocilizumab concentrations) with CAAMR treated with intravenous or subcutaneous tocilizumab between December 2020 and January 2023. We developed a population pharmacokinetic model using nonlinear mixed effects modeling and identified the covariates that could contribute to tocilizumab AUC variability. Monte Carlo simulations were then performed to assess the subcutaneous and intravenous tocilizumab AUC for 0–28 days (M1), 56–84 days (M3), 140–168 days (M6), and 308–336 days (M12). Bioequivalence was defined by SC/IV AUC geometric mean ratios (GMRs) between 0.80 and 1.25.
Results
A two-compartment model with parallel linear and nonlinear elimination best described the concentration–time data. Significant covariates for tocilizumab clearance were body weight, urinary albumin-to-creatinine ratio (ACR), and inflammation status [C-reactive protein (CRP) ≥ 5 mg/L]. The GMR values and their 90% confidence intervals at M3, M6, and M12 were within the 0.8–1.25 margin for equivalence. Conversely, the 90% prediction intervals of the GMR were much wider than the 90% confidence intervals and did not fall within 0.8 and 1.25.
Conclusions
From month 3 of treatment, the subcutaneous and intravenous tocilizumab administration schemes provided average bioequivalent pharmacokinetic exposure at the population level but not at the individual level. Body weight, inflammation, ACR, and administration scheme should be considered to personalize the dose of tocilizumab for patients with CAAMR. Further studies are required to determine the target of tocilizumab exposure in kidney transplant patients with CAAMR.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>39147956</pmid><doi>10.1007/s40259-024-00676-z</doi><tpages>14</tpages><orcidid>https://orcid.org/0009-0008-2048-2154</orcidid><orcidid>https://orcid.org/0000-0002-5785-3827</orcidid></addata></record> |
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subjects | Administration, Intravenous Adult Aged Algorithms Antibodies Antibodies, Monoclonal, Humanized - administration & dosage Antibodies, Monoclonal, Humanized - pharmacokinetics Antibodies, Monoclonal, Humanized - therapeutic use Area Under Curve Bioequivalence Biomedical and Life Sciences Biomedicine Body mass index Body weight C-reactive protein Cancer Research Creatinine Drug dosages Female Graft rejection Graft Rejection - prevention & control Humans Inflammation Injections, Subcutaneous Intravenous administration Kidney Transplantation Kidney transplants Life Sciences Male Middle Aged Models, Biological Molecular Medicine Monoclonal antibodies Monte Carlo Method Monte Carlo simulation Original Research Article Patients Pharmaceutical sciences Pharmacokinetics Pharmacology Pharmacotherapy Plasma Population studies Proteins Retrospective Studies Simulation |
title | A Population Pharmacokinetic Model of Tocilizumab in Kidney Transplant Patients Treated for Chronic Active Antibody-Mediated Rejection: Comparison of Plasma Exposure Between Intravenous and Subcutaneous Administration Schemes |
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