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Pharmacokinetic Modelling and Development of Bayesian Estimators for Therapeutic Drug Monitoring of Mycophenolate Mofetil in Reduced-Intensity Haematopoietic Stem Cell Transplantation
Background Mycophenolate mofetil, a prodrug of mycophenolic acid (MPA), is used during nonmyeloablative and reduced-intensity conditioning haematopoetic stem cell transplantation (HCT) to improve engraftment and reduce graft-versus-host disease (GVHD). However, information about MPA pharmacokinetics...
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Published in: | Clinical pharmacokinetics 2009-01, Vol.48 (10), p.667-675 |
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container_title | Clinical pharmacokinetics |
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creator | Saint-Marcoux, Franck Royer, Bernard Debord, Jean Larosa, Fabrice Legrand, Faezeh Deconinck, Eric Kantelip, Jean-Pierre Marquet, Pierre |
description | Background
Mycophenolate mofetil, a prodrug of mycophenolic acid (MPA), is used during nonmyeloablative and reduced-intensity conditioning haematopoetic stem cell transplantation (HCT) to improve engraftment and reduce graft-versus-host disease (GVHD). However, information about MPA pharmacokinetics is sparse in this context and its use is still empirical.
Objectives
To perform a pilot pharmacokinetic study and to develop maximum
a posteriori
Bayesian estimators (MAP-BEs) for the estimation of MPA exposure in HCT.
Patients and Methods
Fourteen patients administered oral mycophenolate mofetil 15 g/kg three times daily were included. Two consecutive 8-hour pharmacokinetic profiles were performed on the same day, 3 days before and 4 days after the HCT. One 8-hour pharmacokinetic profile was performed on day 27 after transplantation. For these 8-hour pharmacokinetic profiles, blood samples were collected predose and 20, 40, 60, 90 minutes and 2, 4, 6 and 8 hours post-dose.
Using the iterative two-stage (ITS) method, two different one-compartment open pharmacokinetic models with first-order elimination were developed to describe the data: one with two gamma laws and one with three gamma laws to describe the absorption phase. For each pharmacokinetic profile, the Akaike information criterion (AIC) was calculated to evaluate model fitting. On the basis of the population pharmacokinetic parameters, MAP-BEs were developed for the estimation of MPA pharmacokinetics and area under the plasma concentration-time curve (AUC) from 0 to 8 hours at the different studied periods using a limited-sampling strategy. These MAP-BEs were then validated using a data-splitting method. Results: The ITS approach allowed the development of MAP-BEs based either on ‘double-gamma’ or ‘triplegamma’ models, the combination of which allowed correct estimation of MPA pharmacokinetics and AUC on the basis of a 20 minute-90 minute-240 minute sampling schedule. The mean bias of the Bayesian versus reference (trapezoidal) AUCs was s |
doi_str_mv | 10.2165/11317140-000000000-00000 |
format | article |
fullrecord | <record><control><sourceid>gale_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_2975676</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A217606181</galeid><sourcerecordid>A217606181</sourcerecordid><originalsourceid>FETCH-LOGICAL-c602t-683ddc8dfadd3247acdaec45520d38a328e0004bb53723cc674a08ad225aac833</originalsourceid><addsrcrecordid>eNqFUl2P0zAQjBCIKwd_AVlIvJHDH0mcvCAdvYOe1BMIynO0tTetj8QOdlqpv4y_h0N6PeCF5CGWd2Z2djNJQhi94KzI3zImmGQZTen9M50eJTPGZJWyihePkxkVjKd5VYiz5FkIdxFQckqfJmeskpkoy3KW_Py8Bd-Bct-NxcEocus0tq2xGwJWkyvcY-v6Du1AXEPewwGDAUuuw2A6GJwPpHGerLboocfdKHDld5uoYk2sjjKRdntQrt-idS0MGGtN7NQSY8kX1DuFOr2xA9pghgNZAI66vTO_3XwdsCPzaIisPNjQt2AHGIyzz5MnDbQBXxy_58m3D9er-SJdfvp4M79cpqqgfEiLUmitSt2A1oJnEpQGVFmec6pFCYKXGLeSrde5kFwoVcgMaAma8xxAlUKcJ-8m3X637lCruAgPbd37OL4_1A5M_XfFmm29cfuaVzIvZBEF3kwC239oi8tlbWxA39WUCimZzPYswl8d-3n3Y4dhqO_czts4Ys05lzmv2Kh5MYE20GIUaVxsreKrsTPKWWxMvL_kTBa0YOWoWk4E5V0IHpuTE0brMVH1faLqU6KmU6S-_HMBD8RjhCLg9REAQUHbxP-kTDjhOKc8E9nooZpwoR9zgf5hsv-a-AVKqOjr</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>222752916</pqid></control><display><type>article</type><title>Pharmacokinetic Modelling and Development of Bayesian Estimators for Therapeutic Drug Monitoring of Mycophenolate Mofetil in Reduced-Intensity Haematopoietic Stem Cell Transplantation</title><source>Springer Link</source><creator>Saint-Marcoux, Franck ; Royer, Bernard ; Debord, Jean ; Larosa, Fabrice ; Legrand, Faezeh ; Deconinck, Eric ; Kantelip, Jean-Pierre ; Marquet, Pierre</creator><creatorcontrib>Saint-Marcoux, Franck ; Royer, Bernard ; Debord, Jean ; Larosa, Fabrice ; Legrand, Faezeh ; Deconinck, Eric ; Kantelip, Jean-Pierre ; Marquet, Pierre</creatorcontrib><description>Background
Mycophenolate mofetil, a prodrug of mycophenolic acid (MPA), is used during nonmyeloablative and reduced-intensity conditioning haematopoetic stem cell transplantation (HCT) to improve engraftment and reduce graft-versus-host disease (GVHD). However, information about MPA pharmacokinetics is sparse in this context and its use is still empirical.
Objectives
To perform a pilot pharmacokinetic study and to develop maximum
a posteriori
Bayesian estimators (MAP-BEs) for the estimation of MPA exposure in HCT.
Patients and Methods
Fourteen patients administered oral mycophenolate mofetil 15 g/kg three times daily were included. Two consecutive 8-hour pharmacokinetic profiles were performed on the same day, 3 days before and 4 days after the HCT. One 8-hour pharmacokinetic profile was performed on day 27 after transplantation. For these 8-hour pharmacokinetic profiles, blood samples were collected predose and 20, 40, 60, 90 minutes and 2, 4, 6 and 8 hours post-dose.
Using the iterative two-stage (ITS) method, two different one-compartment open pharmacokinetic models with first-order elimination were developed to describe the data: one with two gamma laws and one with three gamma laws to describe the absorption phase. For each pharmacokinetic profile, the Akaike information criterion (AIC) was calculated to evaluate model fitting. On the basis of the population pharmacokinetic parameters, MAP-BEs were developed for the estimation of MPA pharmacokinetics and area under the plasma concentration-time curve (AUC) from 0 to 8 hours at the different studied periods using a limited-sampling strategy. These MAP-BEs were then validated using a data-splitting method. Results: The ITS approach allowed the development of MAP-BEs based either on ‘double-gamma’ or ‘triplegamma’ models, the combination of which allowed correct estimation of MPA pharmacokinetics and AUC on the basis of a 20 minute-90 minute-240 minute sampling schedule. The mean bias of the Bayesian versus reference (trapezoidal) AUCs was s<5% with <16% of the patients with absolute bias on AUC >20%. AIC was systematically calculated for the choice of the most appropriate model fitting the data.
Conclusion
Pharmacokinetic models and MAP-BEs for mycophenolate mofetil when administered to HCT patients have been developed. In the studied population, they allowed the estimation of MPA exposure based on three blood samples, which could be helpful in conducting clinical trials for the optimization of MPA in reduced-intensity HCT. However, prior studies will be needed to validate them in larger populations.</description><identifier>ISSN: 0312-5963</identifier><identifier>EISSN: 1179-1926</identifier><identifier>DOI: 10.2165/11317140-000000000-00000</identifier><identifier>PMID: 19743888</identifier><identifier>CODEN: CPKNDH</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Adult ; Anti-Inflammatory Agents, Non-Steroidal ; Anti-Inflammatory Agents, Non-Steroidal - pharmacokinetics ; Area Under Curve ; Bayes Theorem ; Biological and medical sciences ; Drug Monitoring ; Drug Monitoring - methods ; Female ; General pharmacology ; Health aspects ; Hematopoietic Stem Cell Transplantation ; Hematopoietic Stem Cell Transplantation - methods ; Hematopoietic stem cells ; Humans ; Internal Medicine ; Life Sciences ; Male ; Medical sciences ; Medicine ; Medicine & Public Health ; Middle Aged ; Models, Theoretical ; Mycophenolate mofetil ; Mycophenolic Acid ; Mycophenolic Acid - administration & dosage ; Mycophenolic Acid - analogs & derivatives ; Mycophenolic Acid - blood ; Mycophenolic Acid - pharmacokinetics ; Original Research Article ; Pharmaceutical sciences ; Pharmacokinetics ; Pharmacokinetics. Pharmacogenetics. Drug-receptor interactions ; Pharmacology. Drug treatments ; Pharmacology/Toxicology ; Pharmacotherapy ; Pilot Projects ; Prodrugs ; Prodrugs - pharmacokinetics ; Transplantation ; Young Adult</subject><ispartof>Clinical pharmacokinetics, 2009-01, Vol.48 (10), p.667-675</ispartof><rights>Adis Data Information BV 2009</rights><rights>2009 INIST-CNRS</rights><rights>COPYRIGHT 2009 Wolters Kluwer Health, Inc.</rights><rights>Copyright Wolters Kluwer Health Adis International Oct 2009</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c602t-683ddc8dfadd3247acdaec45520d38a328e0004bb53723cc674a08ad225aac833</citedby><cites>FETCH-LOGICAL-c602t-683ddc8dfadd3247acdaec45520d38a328e0004bb53723cc674a08ad225aac833</cites><orcidid>0000-0002-6006-8088</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=22024341$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/19743888$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://inserm.hal.science/inserm-00377174$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Saint-Marcoux, Franck</creatorcontrib><creatorcontrib>Royer, Bernard</creatorcontrib><creatorcontrib>Debord, Jean</creatorcontrib><creatorcontrib>Larosa, Fabrice</creatorcontrib><creatorcontrib>Legrand, Faezeh</creatorcontrib><creatorcontrib>Deconinck, Eric</creatorcontrib><creatorcontrib>Kantelip, Jean-Pierre</creatorcontrib><creatorcontrib>Marquet, Pierre</creatorcontrib><title>Pharmacokinetic Modelling and Development of Bayesian Estimators for Therapeutic Drug Monitoring of Mycophenolate Mofetil in Reduced-Intensity Haematopoietic Stem Cell Transplantation</title><title>Clinical pharmacokinetics</title><addtitle>Clin Pharmacokinet</addtitle><addtitle>Clin Pharmacokinet</addtitle><description>Background
Mycophenolate mofetil, a prodrug of mycophenolic acid (MPA), is used during nonmyeloablative and reduced-intensity conditioning haematopoetic stem cell transplantation (HCT) to improve engraftment and reduce graft-versus-host disease (GVHD). However, information about MPA pharmacokinetics is sparse in this context and its use is still empirical.
Objectives
To perform a pilot pharmacokinetic study and to develop maximum
a posteriori
Bayesian estimators (MAP-BEs) for the estimation of MPA exposure in HCT.
Patients and Methods
Fourteen patients administered oral mycophenolate mofetil 15 g/kg three times daily were included. Two consecutive 8-hour pharmacokinetic profiles were performed on the same day, 3 days before and 4 days after the HCT. One 8-hour pharmacokinetic profile was performed on day 27 after transplantation. For these 8-hour pharmacokinetic profiles, blood samples were collected predose and 20, 40, 60, 90 minutes and 2, 4, 6 and 8 hours post-dose.
Using the iterative two-stage (ITS) method, two different one-compartment open pharmacokinetic models with first-order elimination were developed to describe the data: one with two gamma laws and one with three gamma laws to describe the absorption phase. For each pharmacokinetic profile, the Akaike information criterion (AIC) was calculated to evaluate model fitting. On the basis of the population pharmacokinetic parameters, MAP-BEs were developed for the estimation of MPA pharmacokinetics and area under the plasma concentration-time curve (AUC) from 0 to 8 hours at the different studied periods using a limited-sampling strategy. These MAP-BEs were then validated using a data-splitting method. Results: The ITS approach allowed the development of MAP-BEs based either on ‘double-gamma’ or ‘triplegamma’ models, the combination of which allowed correct estimation of MPA pharmacokinetics and AUC on the basis of a 20 minute-90 minute-240 minute sampling schedule. The mean bias of the Bayesian versus reference (trapezoidal) AUCs was s<5% with <16% of the patients with absolute bias on AUC >20%. AIC was systematically calculated for the choice of the most appropriate model fitting the data.
Conclusion
Pharmacokinetic models and MAP-BEs for mycophenolate mofetil when administered to HCT patients have been developed. In the studied population, they allowed the estimation of MPA exposure based on three blood samples, which could be helpful in conducting clinical trials for the optimization of MPA in reduced-intensity HCT. However, prior studies will be needed to validate them in larger populations.</description><subject>Adult</subject><subject>Anti-Inflammatory Agents, Non-Steroidal</subject><subject>Anti-Inflammatory Agents, Non-Steroidal - pharmacokinetics</subject><subject>Area Under Curve</subject><subject>Bayes Theorem</subject><subject>Biological and medical sciences</subject><subject>Drug Monitoring</subject><subject>Drug Monitoring - methods</subject><subject>Female</subject><subject>General pharmacology</subject><subject>Health aspects</subject><subject>Hematopoietic Stem Cell Transplantation</subject><subject>Hematopoietic Stem Cell Transplantation - methods</subject><subject>Hematopoietic stem cells</subject><subject>Humans</subject><subject>Internal Medicine</subject><subject>Life Sciences</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Models, Theoretical</subject><subject>Mycophenolate mofetil</subject><subject>Mycophenolic Acid</subject><subject>Mycophenolic Acid - administration & dosage</subject><subject>Mycophenolic Acid - analogs & derivatives</subject><subject>Mycophenolic Acid - blood</subject><subject>Mycophenolic Acid - pharmacokinetics</subject><subject>Original Research Article</subject><subject>Pharmaceutical sciences</subject><subject>Pharmacokinetics</subject><subject>Pharmacokinetics. Pharmacogenetics. Drug-receptor interactions</subject><subject>Pharmacology. Drug treatments</subject><subject>Pharmacology/Toxicology</subject><subject>Pharmacotherapy</subject><subject>Pilot Projects</subject><subject>Prodrugs</subject><subject>Prodrugs - pharmacokinetics</subject><subject>Transplantation</subject><subject>Young Adult</subject><issn>0312-5963</issn><issn>1179-1926</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><recordid>eNqFUl2P0zAQjBCIKwd_AVlIvJHDH0mcvCAdvYOe1BMIynO0tTetj8QOdlqpv4y_h0N6PeCF5CGWd2Z2djNJQhi94KzI3zImmGQZTen9M50eJTPGZJWyihePkxkVjKd5VYiz5FkIdxFQckqfJmeskpkoy3KW_Py8Bd-Bct-NxcEocus0tq2xGwJWkyvcY-v6Du1AXEPewwGDAUuuw2A6GJwPpHGerLboocfdKHDld5uoYk2sjjKRdntQrt-idS0MGGtN7NQSY8kX1DuFOr2xA9pghgNZAI66vTO_3XwdsCPzaIisPNjQt2AHGIyzz5MnDbQBXxy_58m3D9er-SJdfvp4M79cpqqgfEiLUmitSt2A1oJnEpQGVFmec6pFCYKXGLeSrde5kFwoVcgMaAma8xxAlUKcJ-8m3X637lCruAgPbd37OL4_1A5M_XfFmm29cfuaVzIvZBEF3kwC239oi8tlbWxA39WUCimZzPYswl8d-3n3Y4dhqO_czts4Ys05lzmv2Kh5MYE20GIUaVxsreKrsTPKWWxMvL_kTBa0YOWoWk4E5V0IHpuTE0brMVH1faLqU6KmU6S-_HMBD8RjhCLg9REAQUHbxP-kTDjhOKc8E9nooZpwoR9zgf5hsv-a-AVKqOjr</recordid><startdate>20090101</startdate><enddate>20090101</enddate><creator>Saint-Marcoux, Franck</creator><creator>Royer, Bernard</creator><creator>Debord, Jean</creator><creator>Larosa, Fabrice</creator><creator>Legrand, Faezeh</creator><creator>Deconinck, Eric</creator><creator>Kantelip, Jean-Pierre</creator><creator>Marquet, Pierre</creator><general>Springer International Publishing</general><general>Adis International</general><general>Wolters Kluwer Health, Inc</general><general>Springer Nature B.V</general><general>Springer Verlag</general><general>Adis Intrnational Ltd</general><scope>IQODW</scope><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>3V.</scope><scope>4T-</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>1XC</scope><scope>VOOES</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-6006-8088</orcidid></search><sort><creationdate>20090101</creationdate><title>Pharmacokinetic Modelling and Development of Bayesian Estimators for Therapeutic Drug Monitoring of Mycophenolate Mofetil in Reduced-Intensity Haematopoietic Stem Cell Transplantation</title><author>Saint-Marcoux, Franck ; Royer, Bernard ; Debord, Jean ; Larosa, Fabrice ; Legrand, Faezeh ; Deconinck, Eric ; Kantelip, Jean-Pierre ; Marquet, Pierre</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c602t-683ddc8dfadd3247acdaec45520d38a328e0004bb53723cc674a08ad225aac833</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Adult</topic><topic>Anti-Inflammatory Agents, Non-Steroidal</topic><topic>Anti-Inflammatory Agents, Non-Steroidal - pharmacokinetics</topic><topic>Area Under Curve</topic><topic>Bayes Theorem</topic><topic>Biological and medical sciences</topic><topic>Drug Monitoring</topic><topic>Drug Monitoring - methods</topic><topic>Female</topic><topic>General pharmacology</topic><topic>Health aspects</topic><topic>Hematopoietic Stem Cell Transplantation</topic><topic>Hematopoietic Stem Cell Transplantation - methods</topic><topic>Hematopoietic stem cells</topic><topic>Humans</topic><topic>Internal Medicine</topic><topic>Life Sciences</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>Models, Theoretical</topic><topic>Mycophenolate mofetil</topic><topic>Mycophenolic Acid</topic><topic>Mycophenolic Acid - administration & dosage</topic><topic>Mycophenolic Acid - analogs & derivatives</topic><topic>Mycophenolic Acid - blood</topic><topic>Mycophenolic Acid - pharmacokinetics</topic><topic>Original Research Article</topic><topic>Pharmaceutical sciences</topic><topic>Pharmacokinetics</topic><topic>Pharmacokinetics. Pharmacogenetics. Drug-receptor interactions</topic><topic>Pharmacology. Drug treatments</topic><topic>Pharmacology/Toxicology</topic><topic>Pharmacotherapy</topic><topic>Pilot Projects</topic><topic>Prodrugs</topic><topic>Prodrugs - pharmacokinetics</topic><topic>Transplantation</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Saint-Marcoux, Franck</creatorcontrib><creatorcontrib>Royer, Bernard</creatorcontrib><creatorcontrib>Debord, Jean</creatorcontrib><creatorcontrib>Larosa, Fabrice</creatorcontrib><creatorcontrib>Legrand, Faezeh</creatorcontrib><creatorcontrib>Deconinck, Eric</creatorcontrib><creatorcontrib>Kantelip, Jean-Pierre</creatorcontrib><creatorcontrib>Marquet, Pierre</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Docstoc</collection><collection>ProQuest Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical 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>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Clinical pharmacokinetics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Saint-Marcoux, Franck</au><au>Royer, Bernard</au><au>Debord, Jean</au><au>Larosa, Fabrice</au><au>Legrand, Faezeh</au><au>Deconinck, Eric</au><au>Kantelip, Jean-Pierre</au><au>Marquet, Pierre</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Pharmacokinetic Modelling and Development of Bayesian Estimators for Therapeutic Drug Monitoring of Mycophenolate Mofetil in Reduced-Intensity Haematopoietic Stem Cell Transplantation</atitle><jtitle>Clinical pharmacokinetics</jtitle><stitle>Clin Pharmacokinet</stitle><addtitle>Clin Pharmacokinet</addtitle><date>2009-01-01</date><risdate>2009</risdate><volume>48</volume><issue>10</issue><spage>667</spage><epage>675</epage><pages>667-675</pages><issn>0312-5963</issn><eissn>1179-1926</eissn><coden>CPKNDH</coden><abstract>Background
Mycophenolate mofetil, a prodrug of mycophenolic acid (MPA), is used during nonmyeloablative and reduced-intensity conditioning haematopoetic stem cell transplantation (HCT) to improve engraftment and reduce graft-versus-host disease (GVHD). However, information about MPA pharmacokinetics is sparse in this context and its use is still empirical.
Objectives
To perform a pilot pharmacokinetic study and to develop maximum
a posteriori
Bayesian estimators (MAP-BEs) for the estimation of MPA exposure in HCT.
Patients and Methods
Fourteen patients administered oral mycophenolate mofetil 15 g/kg three times daily were included. Two consecutive 8-hour pharmacokinetic profiles were performed on the same day, 3 days before and 4 days after the HCT. One 8-hour pharmacokinetic profile was performed on day 27 after transplantation. For these 8-hour pharmacokinetic profiles, blood samples were collected predose and 20, 40, 60, 90 minutes and 2, 4, 6 and 8 hours post-dose.
Using the iterative two-stage (ITS) method, two different one-compartment open pharmacokinetic models with first-order elimination were developed to describe the data: one with two gamma laws and one with three gamma laws to describe the absorption phase. For each pharmacokinetic profile, the Akaike information criterion (AIC) was calculated to evaluate model fitting. On the basis of the population pharmacokinetic parameters, MAP-BEs were developed for the estimation of MPA pharmacokinetics and area under the plasma concentration-time curve (AUC) from 0 to 8 hours at the different studied periods using a limited-sampling strategy. These MAP-BEs were then validated using a data-splitting method. Results: The ITS approach allowed the development of MAP-BEs based either on ‘double-gamma’ or ‘triplegamma’ models, the combination of which allowed correct estimation of MPA pharmacokinetics and AUC on the basis of a 20 minute-90 minute-240 minute sampling schedule. The mean bias of the Bayesian versus reference (trapezoidal) AUCs was s<5% with <16% of the patients with absolute bias on AUC >20%. AIC was systematically calculated for the choice of the most appropriate model fitting the data.
Conclusion
Pharmacokinetic models and MAP-BEs for mycophenolate mofetil when administered to HCT patients have been developed. In the studied population, they allowed the estimation of MPA exposure based on three blood samples, which could be helpful in conducting clinical trials for the optimization of MPA in reduced-intensity HCT. However, prior studies will be needed to validate them in larger populations.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>19743888</pmid><doi>10.2165/11317140-000000000-00000</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-6006-8088</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adult Anti-Inflammatory Agents, Non-Steroidal Anti-Inflammatory Agents, Non-Steroidal - pharmacokinetics Area Under Curve Bayes Theorem Biological and medical sciences Drug Monitoring Drug Monitoring - methods Female General pharmacology Health aspects Hematopoietic Stem Cell Transplantation Hematopoietic Stem Cell Transplantation - methods Hematopoietic stem cells Humans Internal Medicine Life Sciences Male Medical sciences Medicine Medicine & Public Health Middle Aged Models, Theoretical Mycophenolate mofetil Mycophenolic Acid Mycophenolic Acid - administration & dosage Mycophenolic Acid - analogs & derivatives Mycophenolic Acid - blood Mycophenolic Acid - pharmacokinetics Original Research Article Pharmaceutical sciences Pharmacokinetics Pharmacokinetics. Pharmacogenetics. Drug-receptor interactions Pharmacology. Drug treatments Pharmacology/Toxicology Pharmacotherapy Pilot Projects Prodrugs Prodrugs - pharmacokinetics Transplantation Young Adult |
title | Pharmacokinetic Modelling and Development of Bayesian Estimators for Therapeutic Drug Monitoring of Mycophenolate Mofetil in Reduced-Intensity Haematopoietic Stem Cell Transplantation |
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