BACKGROUND: Recently a pediatric pharmacokinetic (PK) model was developed for busulfan to explain the wide variability in PK of busulfan in children, as this variability is known to influence the outcome of hematopoietic stem cell transplantation in terms of toxicity and event free survival. This study assesses the predictive performance of this busulfan PK model in a new, more diverse pediatric population, including data from patients with different underlying diseases, ethnicities, body weights, ages, and body mass indices, from 5 international pediatric transplant centers. PATIENTS AND METHODS: The previously published (original) busulfan PK model was developed from data of 245 patients (0.1-26 years of age). To externally validate this model, data were collected from another 158 patients (0.1-35 years) who underwent hematopoietic stem cell transplantation in 5 international transplant centers. Observed versus predicted plots, normalized prediction distribution error analysis, refit of the model on the external (n = 158) and combined datasets (n = 403), and subpopulation analyses were evaluated. RESULTS: The original busulfan PK model was found to be stable and parameter estimates precise. Concentrations predicted by this model were in good agreement with the observed concentrations from the 5 external datasets. Plasma concentrations in patients with different underlying diseases, ethnicities, body weights, ages, and body mass indices were adequately predicted. CONCLUSIONS: Our pediatric busulfan PK model has been externally validated. This model predicts busulfan concentrations in pediatric and young adult patients ranging between 3 and 86 kg without bias and with good precision, regardless of transplant center, underlying disease, ethnicity, body weight age, or body mass index. This busulfan PK model forms the basis for individualized busulfan dosing.
BACKGROUND: Recently a pediatric pharmacokinetic (PK) model was developed for busulfan to explain the wide variability in PK of busulfan in children, as this variability is known to influence the outcome of hematopoietic stem cell transplantation in terms of toxicity and event free survival. This study assesses the predictive performance of this busulfan PK model in a new, more diverse pediatric population, including data from patients with different underlying diseases, ethnicities, body weights, ages, and body mass indices, from 5 international pediatric transplant centers. PATIENTS AND METHODS: The previously published (original) busulfan PK model was developed from data of 245 patients (0.1-26 years of age). To externally validate this model, data were collected from another 158 patients (0.1-35 years) who underwent hematopoietic stem cell transplantation in 5 international transplant centers. Observed versus predicted plots, normalized prediction distribution error analysis, refit of the model on the external (n = 158) and combined datasets (n = 403), and subpopulation analyses were evaluated. RESULTS: The original busulfan PK model was found to be stable and parameter estimates precise. Concentrations predicted by this model were in good agreement with the observed concentrations from the 5 external datasets. Plasma concentrations in patients with different underlying diseases, ethnicities, body weights, ages, and body mass indices were adequately predicted. CONCLUSIONS: Our pediatric busulfan PK model has been externally validated. This model predicts busulfan concentrations in pediatric and young adult patients ranging between 3 and 86 kg without bias and with good precision, regardless of transplant center, underlying disease, ethnicity, body weight age, or body mass index. This busulfan PK model forms the basis for individualized busulfan dosing.
Authors: Radojka M Savic; Morton J Cowan; Christopher C Dvorak; Sung-Yun Pai; Luis Pereira; Imke H Bartelink; Jaap J Boelens; Robbert G M Bredius; Rob F Wynn; Geoff D E Cuvelier; Peter J Shaw; Mary A Slatter; Janel Long-Boyle Journal: Biol Blood Marrow Transplant Date: 2013-09-09 Impact factor: 5.742
Authors: Anne van Rongen; Janelle D Vaughns; Ganesh S Moorthy; Jeffrey S Barrett; Catherijne A J Knibbe; Johannes N van den Anker Journal: Br J Clin Pharmacol Date: 2015-09-10 Impact factor: 4.335
Authors: Johan G C van Hasselt; Natasha K A van Eijkelenburg; Jos H Beijnen; Jan H M Schellens; Alwin D R Huitema Journal: Br J Clin Pharmacol Date: 2013-07 Impact factor: 4.335
Authors: Imke H Bartelink; Arief Lalmohamed; Elisabeth M L van Reij; Christopher C Dvorak; Rada M Savic; Juliette Zwaveling; Robbert G M Bredius; Antoine C G Egberts; Marc Bierings; Morris Kletzel; Peter J Shaw; Christa E Nath; George Hempel; Marc Ansari; Maja Krajinovic; Yves Théorêt; Michel Duval; Ron J Keizer; Henrique Bittencourt; Moustapha Hassan; Tayfun Güngör; Robert F Wynn; Paul Veys; Geoff D E Cuvelier; Sarah Marktel; Robert Chiesa; Morton J Cowan; Mary A Slatter; Melisa K Stricherz; Cathryn Jennissen; Janel R Long-Boyle; Jaap Jan Boelens Journal: Lancet Haematol Date: 2016-10-13 Impact factor: 18.959
Authors: Anne van Rongen; Margreke J E Brill; Janelle D Vaughns; Pyry A J Välitalo; Eric P A van Dongen; Bert van Ramshorst; Jeffrey S Barrett; Johannes N van den Anker; Catherijne A J Knibbe Journal: Clin Pharmacokinet Date: 2018-05 Impact factor: 6.447
Authors: Rick Admiraal; Charlotte van Kesteren; Cornelia M Jol-van der Zijde; Maarten J D van Tol; Imke H Bartelink; Robbert G M Bredius; Jaap Jan Boelens; Catherijne A J Knibbe Journal: Clin Pharmacokinet Date: 2015-04 Impact factor: 6.447
Authors: Jeannine S McCune; Meagan J Bemer; Jeffrey S Barrett; K Scott Baker; Alan S Gamis; Nicholas H G Holford Journal: Clin Cancer Res Date: 2013-11-11 Impact factor: 12.531
Authors: Janel R Long-Boyle; Rada Savic; Shirley Yan; Imke Bartelink; Lisa Musick; Deborah French; Jason Law; Biljana Horn; Morton J Cowan; Christopher C Dvorak Journal: Ther Drug Monit Date: 2015-04 Impact factor: 3.681
Authors: Esther J H Janssen; Pyry A J Välitalo; Karel Allegaert; Roosmarijn F W de Cock; Sinno H P Simons; Catherine M T Sherwin; Johan W Mouton; Johannes N van den Anker; Catherijne A J Knibbe Journal: Antimicrob Agents Chemother Date: 2015-12-07 Impact factor: 5.191