Your browser doesn't support javascript.
loading
Daunorubicin and Its Active Metabolite Pharmacokinetic Profiles in Acute Myeloid Leukaemia Patients: A Pharmacokinetic Ancillary Study of the BIG-1 Trial.
Drevin, Guillaume; Briet, Marie; Bazzoli, Caroline; Gyan, Emmanuel; Schmidt, Aline; Dombret, Hervé; Orvain, Corentin; Giltat, Aurelien; Recher, Christian; Ifrah, Norbert; Guardiola, Philippe; Hunault-Berger, Mathilde; Abbara, Chadi.
Afiliação
  • Drevin G; Service de Pharmacologie-Toxicologie et Pharmacovigilance, Centre Hospitalo-Universitaire d'Angers, F-49100 Angers, France.
  • Briet M; UFR Santé, Université Angers, F-49100 Angers, France.
  • Bazzoli C; Service de Pharmacologie-Toxicologie et Pharmacovigilance, Centre Hospitalo-Universitaire d'Angers, F-49100 Angers, France.
  • Gyan E; UFR Santé, Université Angers, F-49100 Angers, France.
  • Schmidt A; MITOVASC, Equipe CarMe, SFR ICAT, INSERM, CNRS, F-49000 Angers, France.
  • Dombret H; Grenoble INP, TIMC-IMAG, Université Grenoble Alpes, CNRS, F-38000 Grenoble, France.
  • Orvain C; Service d'Hématologie et Thérapie Cellulaire, Equipe LNOx, ERL CNRS 7001, Centre Hospitalier Universitaire, Université de Tours, F-37000 Tours, France.
  • Giltat A; Fédération Hospitalo-Universitaire GOAL, F-49033 Angers, France.
  • Recher C; UFR Santé, Université Angers, F-49100 Angers, France.
  • Ifrah N; Fédération Hospitalo-Universitaire GOAL, F-49033 Angers, France.
  • Guardiola P; Service des Maladies du Sang, Centre Hospitalo-Universitaire d'Angers, F-49100 Angers, France.
  • Hunault-Berger M; Inserm, CRCINA, SFR ICAT, Université Angers, Université de Nantes, F-49000 Angers, France.
  • Abbara C; Blood Disease Department, University Hospital Saint Louis AP-HP, F-75010 Paris, France.
Pharmaceutics ; 14(4)2022 Apr 05.
Article em En | MEDLINE | ID: mdl-35456626
ABSTRACT
Daunorubicin pharmacokinetics (PK) are characterised by an important inter-individual variability, which raises questions about the optimal dose regimen in patients with acute myeloid leukaemia. The aim of the study is to assess the joint daunorubicin/daunorubicinol PK profile and to define an optimal population PK study design. Fourteen patients were enrolled in the PK ancillary study of the BIG-1 trial and 6-8 samples were taken up to 24 h after administration of the first dose of daunorubicin (90 mg/m2/day). Daunorubicin and daunorubicinol quantifications were assessed using a validated liquid chromatography technique coupled with a fluorescence detector method. Data were analysed using a non-compartmental approach and non-linear mixed effects modelling. Optimal sampling strategy was proposed using the R function PFIM. The median daunorubicin and daunorubicinol AUC0-tlast were 577 ng/mL·hr (Range 375-1167) and 2200 ng/mL·hr (range 933-4683), respectively. The median metabolic ratio was 0.32 (range 0.1-0.44). Daunorubicin PK was best described by a three-compartment parent, two-compartment metabolite model, with a double first-order transformation of daunorubicin to metabolite. Body surface area and plasma creatinine had a significant impact on the daunorubicin and daunorubicinol PK. A practical optimal population design has been derived from this model with five sampling times per subject (0.5, 0.75, 2, 9, 24 h) and this can be used for a future population PK study.
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article