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1000 Titel
  • Population Pharmacokinetics of PEGylated Asparaginase in Children with Acute Lymphoblastic Leukemia: Treatment Phase Dependency and Predictivity in Case of Missing Data
1000 Autor/in
  1. Würthwein, Gudrun |
  2. Lanvers-Kaminsky, Claudia |
  3. Siebel, Christian |
  4. Gerss, Joachim |
  5. Möricke, Anja |
  6. Zimmermann, Martin |
  7. Stary, Jan |
  8. Smíšek, Petr |
  9. Schrappe, Martin |
  10. RIZZARI, Carmelo |
  11. Zucchetti, Massimo |
  12. Hempel, Georg |
  13. Wicha, Sebastian G. |
  14. Boos, Joachim |
1000 Erscheinungsjahr 2021
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2021-02-17
1000 Erschienen in
1000 Quellenangabe
  • 46(2):289-300
1000 Copyrightjahr
  • 2021
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1007/s13318-021-00670-8 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7935823/ |
1000 Publikationsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Background and objectives!#!The pharmacokinetics of polyethylene glycol-conjugated asparaginase (PEG-ASNase) are characterized by an increase in elimination over time, a marked increase in ASNase activity levels from induction to reinduction, and high inter- and intraindividual variability. A population pharmacokinetic (PopPK) model is required to estimate individual dose intensity, despite gaps in monitoring compliance.!##!Methods!#!In the AIEOP-BFM ALL 2009 trial, two PEG-ASNase administrations (2500 U/m!##!Results!#!Compared to the first administration in induction (1374 patients, 6069 samples), the initial clearance and volume of distribution decreased by 11.0% and 15.9%, respectively, during the second administration during induction and by 41.2% and 28.4% during reinduction. Furthermore, the initial clearance linearly increased for children aged > 8 years and was 7.1% lower for females. The model was successfully externally validated (1253 patients, 5523 samples). In case of missing data, > 52% of the predictions for observations and > 82% for derived parameters were within ± 20% of the nominal value.!##!Conclusion!#!A PopPK model that describes the complex pharmacokinetics of PEG-ASNase was successfully externally validated. AUC
1000 Sacherschließung
lokal Pharmacy
lokal Adolescent [MeSH]
lokal Asparaginase/pharmacokinetics [MeSH]
lokal Female [MeSH]
lokal Pharmacology/Toxicology
lokal Area Under Curve [MeSH]
lokal Pharmaceutical Sciences/Technology
lokal Humans [MeSH]
lokal Antineoplastic Agents/administration
lokal Human Physiology
lokal Models, Biological [MeSH]
lokal Medical Biochemistry
lokal Precursor Cell Lymphoblastic Leukemia-Lymphoma/drug therapy [MeSH]
lokal Antineoplastic Agents/pharmacokinetics [MeSH]
lokal Infant [MeSH]
lokal Male [MeSH]
lokal Tissue Distribution [MeSH]
lokal Polyethylene Glycols/administration
lokal Asparaginase/administration
lokal Polyethylene Glycols/pharmacokinetics [MeSH]
lokal Original Research Article
lokal Child [MeSH]
lokal Child, Preschool [MeSH]
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0002-7617-183X|https://orcid.org/0000-0002-9764-8035|https://orcid.org/0000-0003-3518-9483|https://orcid.org/0000-0003-3489-683X|https://frl.publisso.de/adhoc/uri/TcO2cmlja2UsIEFuamE=|https://frl.publisso.de/adhoc/uri/WmltbWVybWFubiwgTWFydGlu|https://orcid.org/0000-0002-6818-7743|https://orcid.org/0000-0003-3158-7484|https://frl.publisso.de/adhoc/uri/U2NocmFwcGUsIE1hcnRpbg==|https://orcid.org/0000-0002-4828-3893|https://orcid.org/0000-0002-5427-052X|https://orcid.org/0000-0002-5790-6423|https://orcid.org/0000-0002-8773-4845|https://orcid.org/0000-0003-2954-2025
1000 Hinweis
  • DeepGreen-ID: 9803d10d69b746e094af9c1dcb8a93d4 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
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1000 Erstellt am 2023-11-16T08:27:27.641+0100
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1000 Zuletzt bearbeitet 2023-12-01T01:07:44.812+0100
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