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Model-Informed Precision Dosing of Linezolid in Patients with Drug-Resistant Tuberculosis
Linezolid is an efficacious medication for the treatment of drug-resistant tuberculosis but has been associated with serious safety issues that can result in treatment interruption. The objectives of this study were thus to build a population pharmacokinetic model and to use the developed model to e...
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Published in: | Pharmaceutics 2022-03, Vol.14 (4), p.753 |
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description | Linezolid is an efficacious medication for the treatment of drug-resistant tuberculosis but has been associated with serious safety issues that can result in treatment interruption. The objectives of this study were thus to build a population pharmacokinetic model and to use the developed model to establish a model-informed precision dosing (MIPD) algorithm enabling safe and efficacious dosing in patients with multidrug- and extensively drug-resistant tuberculosis. Routine hospital therapeutic drug monitoring data, collected from 70 tuberculosis patients receiving linezolid, was used for model development. Efficacy and safety targets for MIPD were the ratio of unbound area under the concentration versus time curve between 0 and 24 h over minimal inhibitory concentration (
AUC
/MIC) above 119 and unbound plasma trough concentration (
C
) below 1.38 mg/L, respectively. Model building was performed in NONMEM 7.4.3. The final population pharmacokinetic model consisted of a one-compartment model with transit absorption and concentration- and time-dependent auto-inhibition of elimination. A flat dose of 600 mg once daily was appropriate in 67.2% of the simulated patients from an efficacy and safety perspective. Using the here developed MIPD algorithm, the proportion of patients reaching the efficacy and safety target increased to 81.5% and 88.2% using information from two and three pharmacokinetic sampling occasions, respectively. This work proposes an MIPD approach for linezolid and suggests using three sampling occasions to derive an individualized dose that results in adequate efficacy and fewer safety concerns compared to flat dosing. |
doi_str_mv | 10.3390/pharmaceutics14040753 |
format | article |
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AUC
/MIC) above 119 and unbound plasma trough concentration (
C
) below 1.38 mg/L, respectively. Model building was performed in NONMEM 7.4.3. The final population pharmacokinetic model consisted of a one-compartment model with transit absorption and concentration- and time-dependent auto-inhibition of elimination. A flat dose of 600 mg once daily was appropriate in 67.2% of the simulated patients from an efficacy and safety perspective. Using the here developed MIPD algorithm, the proportion of patients reaching the efficacy and safety target increased to 81.5% and 88.2% using information from two and three pharmacokinetic sampling occasions, respectively. This work proposes an MIPD approach for linezolid and suggests using three sampling occasions to derive an individualized dose that results in adequate efficacy and fewer safety concerns compared to flat dosing.</description><identifier>ISSN: 1999-4923</identifier><identifier>EISSN: 1999-4923</identifier><identifier>DOI: 10.3390/pharmaceutics14040753</identifier><identifier>PMID: 35456587</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>auto-inhibition of linezolid elimination ; Creatinine ; Drug dosages ; Drug resistance ; Enzymes ; linezolid ; model-informed precision dosing ; Patients ; Pharmacokinetics ; Plasma ; Population ; population pharmacokinetics ; simulation ; Tuberculosis</subject><ispartof>Pharmaceutics, 2022-03, Vol.14 (4), p.753</ispartof><rights>2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2022 by the authors. 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c542t-72d091ab1ad05b640b150a572220cea8a3201efa8b18b4bac2b02c4e1f1fa5403</citedby><cites>FETCH-LOGICAL-c542t-72d091ab1ad05b640b150a572220cea8a3201efa8b18b4bac2b02c4e1f1fa5403</cites><orcidid>0000-0001-5638-9260 ; 0000-0002-3424-9686 ; 0000-0002-3420-0591</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2653018683/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2653018683?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35456587$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-474112$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Mockeliunas, Laurynas</creatorcontrib><creatorcontrib>Keutzer, Lina</creatorcontrib><creatorcontrib>Sturkenboom, Marieke G G</creatorcontrib><creatorcontrib>Bolhuis, Mathieu S</creatorcontrib><creatorcontrib>Hulskotte, Lotte M G</creatorcontrib><creatorcontrib>Akkerman, Onno W</creatorcontrib><creatorcontrib>Simonsson, Ulrika S H</creatorcontrib><title>Model-Informed Precision Dosing of Linezolid in Patients with Drug-Resistant Tuberculosis</title><title>Pharmaceutics</title><addtitle>Pharmaceutics</addtitle><description>Linezolid is an efficacious medication for the treatment of drug-resistant tuberculosis but has been associated with serious safety issues that can result in treatment interruption. The objectives of this study were thus to build a population pharmacokinetic model and to use the developed model to establish a model-informed precision dosing (MIPD) algorithm enabling safe and efficacious dosing in patients with multidrug- and extensively drug-resistant tuberculosis. Routine hospital therapeutic drug monitoring data, collected from 70 tuberculosis patients receiving linezolid, was used for model development. Efficacy and safety targets for MIPD were the ratio of unbound area under the concentration versus time curve between 0 and 24 h over minimal inhibitory concentration (
AUC
/MIC) above 119 and unbound plasma trough concentration (
C
) below 1.38 mg/L, respectively. Model building was performed in NONMEM 7.4.3. The final population pharmacokinetic model consisted of a one-compartment model with transit absorption and concentration- and time-dependent auto-inhibition of elimination. A flat dose of 600 mg once daily was appropriate in 67.2% of the simulated patients from an efficacy and safety perspective. Using the here developed MIPD algorithm, the proportion of patients reaching the efficacy and safety target increased to 81.5% and 88.2% using information from two and three pharmacokinetic sampling occasions, respectively. This work proposes an MIPD approach for linezolid and suggests using three sampling occasions to derive an individualized dose that results in adequate efficacy and fewer safety concerns compared to flat dosing.</description><subject>auto-inhibition of linezolid elimination</subject><subject>Creatinine</subject><subject>Drug dosages</subject><subject>Drug resistance</subject><subject>Enzymes</subject><subject>linezolid</subject><subject>model-informed precision dosing</subject><subject>Patients</subject><subject>Pharmacokinetics</subject><subject>Plasma</subject><subject>Population</subject><subject>population pharmacokinetics</subject><subject>simulation</subject><subject>Tuberculosis</subject><issn>1999-4923</issn><issn>1999-4923</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptkl1rFDEUhgdRbKn9CcqAN144ms-ZyY1QulYXVixSBa9CkjnZzTKbbJOJxf56s91aumJuEibP-5B5OVX1EqN3lAr0frtScaMM5MmZhBliqOP0SXWMhRANE4Q-fXQ-qk5TWqOyKMU9Fc-rI8oZb3nfHVc_v4QBxmbubYgbGOrLCMYlF3w9C8n5ZR1svXAebsPohtr5-lJNDvyU6hs3repZzMvmGySXJuWn-ipriCaPJZpeVM-sGhOc3u8n1feLj1fnn5vF10_z87NFYzgjU9ORAQmsNFYD4rplSGOOFO8IIciA6hUlCINVvca9ZloZohExDLDFVnGG6Ek133uHoNZyG91Gxd8yKCfvPoS4lCqWnkaQLUZmgJYw3AqGQQuDbCdaK6wdNIad6-3elW5gm_WBbeZ-nN3ZcpasYxiTgn_Y44Ut5ZnSS1TjQerwxruVXIZfUiBKBGqL4M29IIbrDGmSG5cMjKPyEHKSpC0d9UygrqCv_0HXIUdfmt1RFOG-7Wmh-J4yMaQUwT48BiO5Gx3539EpuVeP_-Qh9XdQ6B8NT8SC</recordid><startdate>20220330</startdate><enddate>20220330</enddate><creator>Mockeliunas, Laurynas</creator><creator>Keutzer, Lina</creator><creator>Sturkenboom, Marieke G G</creator><creator>Bolhuis, Mathieu S</creator><creator>Hulskotte, Lotte M G</creator><creator>Akkerman, Onno W</creator><creator>Simonsson, Ulrika S H</creator><general>MDPI AG</general><general>MDPI</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7XB</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>M2O</scope><scope>MBDVC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><scope>ACNBI</scope><scope>ADTPV</scope><scope>AOWAS</scope><scope>D8T</scope><scope>DF2</scope><scope>ZZAVC</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-5638-9260</orcidid><orcidid>https://orcid.org/0000-0002-3424-9686</orcidid><orcidid>https://orcid.org/0000-0002-3420-0591</orcidid></search><sort><creationdate>20220330</creationdate><title>Model-Informed Precision Dosing of Linezolid in Patients with Drug-Resistant Tuberculosis</title><author>Mockeliunas, Laurynas ; Keutzer, Lina ; Sturkenboom, Marieke G G ; Bolhuis, Mathieu S ; Hulskotte, Lotte M G ; Akkerman, Onno W ; Simonsson, Ulrika S H</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c542t-72d091ab1ad05b640b150a572220cea8a3201efa8b18b4bac2b02c4e1f1fa5403</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>auto-inhibition of linezolid elimination</topic><topic>Creatinine</topic><topic>Drug dosages</topic><topic>Drug resistance</topic><topic>Enzymes</topic><topic>linezolid</topic><topic>model-informed precision dosing</topic><topic>Patients</topic><topic>Pharmacokinetics</topic><topic>Plasma</topic><topic>Population</topic><topic>population pharmacokinetics</topic><topic>simulation</topic><topic>Tuberculosis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mockeliunas, Laurynas</creatorcontrib><creatorcontrib>Keutzer, Lina</creatorcontrib><creatorcontrib>Sturkenboom, Marieke G G</creatorcontrib><creatorcontrib>Bolhuis, Mathieu S</creatorcontrib><creatorcontrib>Hulskotte, Lotte M G</creatorcontrib><creatorcontrib>Akkerman, Onno W</creatorcontrib><creatorcontrib>Simonsson, Ulrika S H</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>SWEPUB Uppsala universitet full text</collection><collection>SwePub</collection><collection>SwePub Articles</collection><collection>SWEPUB Freely available online</collection><collection>SWEPUB Uppsala universitet</collection><collection>SwePub Articles full text</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Pharmaceutics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mockeliunas, Laurynas</au><au>Keutzer, Lina</au><au>Sturkenboom, Marieke G G</au><au>Bolhuis, Mathieu S</au><au>Hulskotte, Lotte M G</au><au>Akkerman, Onno W</au><au>Simonsson, Ulrika S H</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Model-Informed Precision Dosing of Linezolid in Patients with Drug-Resistant Tuberculosis</atitle><jtitle>Pharmaceutics</jtitle><addtitle>Pharmaceutics</addtitle><date>2022-03-30</date><risdate>2022</risdate><volume>14</volume><issue>4</issue><spage>753</spage><pages>753-</pages><issn>1999-4923</issn><eissn>1999-4923</eissn><abstract>Linezolid is an efficacious medication for the treatment of drug-resistant tuberculosis but has been associated with serious safety issues that can result in treatment interruption. The objectives of this study were thus to build a population pharmacokinetic model and to use the developed model to establish a model-informed precision dosing (MIPD) algorithm enabling safe and efficacious dosing in patients with multidrug- and extensively drug-resistant tuberculosis. Routine hospital therapeutic drug monitoring data, collected from 70 tuberculosis patients receiving linezolid, was used for model development. Efficacy and safety targets for MIPD were the ratio of unbound area under the concentration versus time curve between 0 and 24 h over minimal inhibitory concentration (
AUC
/MIC) above 119 and unbound plasma trough concentration (
C
) below 1.38 mg/L, respectively. Model building was performed in NONMEM 7.4.3. The final population pharmacokinetic model consisted of a one-compartment model with transit absorption and concentration- and time-dependent auto-inhibition of elimination. A flat dose of 600 mg once daily was appropriate in 67.2% of the simulated patients from an efficacy and safety perspective. Using the here developed MIPD algorithm, the proportion of patients reaching the efficacy and safety target increased to 81.5% and 88.2% using information from two and three pharmacokinetic sampling occasions, respectively. This work proposes an MIPD approach for linezolid and suggests using three sampling occasions to derive an individualized dose that results in adequate efficacy and fewer safety concerns compared to flat dosing.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>35456587</pmid><doi>10.3390/pharmaceutics14040753</doi><orcidid>https://orcid.org/0000-0001-5638-9260</orcidid><orcidid>https://orcid.org/0000-0002-3424-9686</orcidid><orcidid>https://orcid.org/0000-0002-3420-0591</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | auto-inhibition of linezolid elimination Creatinine Drug dosages Drug resistance Enzymes linezolid model-informed precision dosing Patients Pharmacokinetics Plasma Population population pharmacokinetics simulation Tuberculosis |
title | Model-Informed Precision Dosing of Linezolid in Patients with Drug-Resistant Tuberculosis |
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