1
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Shen G, Moua KTY, Perkins K, Johnson D, Li A, Curtin P, Gao W, McCune JS. Precision sirolimus dosing in children: The potential for model-informed dosing and novel drug monitoring. Front Pharmacol 2023; 14:1126981. [PMID: 37021042 PMCID: PMC10069443 DOI: 10.3389/fphar.2023.1126981] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2022] [Accepted: 02/14/2023] [Indexed: 04/07/2023] Open
Abstract
The mTOR inhibitor sirolimus is prescribed to treat children with varying diseases, ranging from vascular anomalies to sporadic lymphangioleiomyomatosis to transplantation (solid organ or hematopoietic cell). Precision dosing of sirolimus using therapeutic drug monitoring (TDM) of sirolimus concentrations in whole blood drawn at the trough (before the next dose) time-point is the current standard of care. For sirolimus, trough concentrations are only modestly correlated with the area under the curve, with R 2 values ranging from 0.52 to 0.84. Thus, it should not be surprising, even with the use of sirolimus TDM, that patients treated with sirolimus have variable pharmacokinetics, toxicity, and effectiveness. Model-informed precision dosing (MIPD) will be beneficial and should be implemented. The data do not suggest dried blood spots point-of-care sampling of sirolimus concentrations for precision dosing of sirolimus. Future research on precision dosing of sirolimus should focus on pharmacogenomic and pharmacometabolomic tools to predict sirolimus pharmacokinetics and wearables for point-of-care quantitation and MIPD.
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Affiliation(s)
- Guofang Shen
- Department of Hematologic Malignancies Translational Sciences, City of Hope, and Department of Hematopoietic Cell Transplantation, City of Hope Medical Center, Duarte, CA, United States
| | - Kao Tang Ying Moua
- Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, Los Angeles, CA, United States
| | - Kathryn Perkins
- Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, Los Angeles, CA, United States
| | - Deron Johnson
- Clinical Informatics, City of Hope Medical Center, Duarte, CA, United States
| | - Arthur Li
- Division of Biostatistics, City of Hope, Duarte, CA, United States
| | - Peter Curtin
- Department of Hematologic Malignancies Translational Sciences, City of Hope, and Department of Hematopoietic Cell Transplantation, City of Hope Medical Center, Duarte, CA, United States
| | - Wei Gao
- Division of Engineering and Applied Science, Andrew and Peggy Cherng Department of Medical Engineering, California Institute of Technology, Pasadena, CA, United States
| | - Jeannine S. McCune
- Department of Hematologic Malignancies Translational Sciences, City of Hope, and Department of Hematopoietic Cell Transplantation, City of Hope Medical Center, Duarte, CA, United States
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2
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The Appropriately Designed TDM Clinical Trial: Endpoints, Pitfalls, and Perspectives. Ther Drug Monit 2023; 45:6-10. [PMID: 36624573 DOI: 10.1097/ftd.0000000000001010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Accepted: 06/24/2022] [Indexed: 02/01/2023]
Abstract
BACKGROUND Appropriately designed clinical trials can provide the evidence needed to broadly implement therapeutic drug monitoring (TDM). In the past 30 years, some stunning successes but also some fascinating failures in demonstrating the benefits of TDM have been observed. Future TDM studies can be designed based on this experience. METHODS The manuscript is based on a combination of personal experience and published articles and discusses several aspects of the design and conduct of TDM studies. RESULTS Recommendations are provided to reduce the risk of protocol violations and to maximize the potential impact of a TDM study on clinical practice. CONCLUSIONS There are lessons that can be learned from previous experience, and this article gives an overview of potential TDM study designs, endpoints, pitfalls, and perspectives.
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3
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van den Anker J, Allegaert K. Considerations for Drug Dosing in Premature Infants. J Clin Pharmacol 2021; 61 Suppl 1:S141-S151. [PMID: 34185893 DOI: 10.1002/jcph.1884] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Accepted: 04/21/2021] [Indexed: 12/13/2022]
Abstract
In premature infants, effective and safe drug therapy depends on optimal dose selection and requires a thorough understanding of the underlying disease(s) of these fragile infants as well as the pharmacokinetics and pharmacodynamics of the drugs selected to treat their diseases. Differences in gestational and postnatal age or weight are the major determinants of the observed variability in drug disposition and effect in these infants. This article presents an outline on how to translate the results of a population pharmacokinetic/pharmacodynamic study into rational dosing regimens, and how physiologically based pharmacokinetic modeling, electronic health records, and the abundantly available data of vital functions of premature infants during their stay in the neonatal intensive care unit for evaluation of their pharmacotherapy can be used to tailor the most safe and effective dose in these infants.
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Affiliation(s)
- John van den Anker
- Division of Clinical Pharmacology, Children's National Hospital, Washington, DC, USA.,Division of Paediatric Pharmacology and Pharmacometrics, University Children's Hospital Basel, University of Basel, Basel, Switzerland.,Intensive Care and Department of Pediatric Surgery, Erasmus Medical Center-Sophia Children's Hospital, Rotterdam, The Netherlands
| | - Karel Allegaert
- Department of Hospital Pharmacy, Erasmus MC-Sophia Children's Hospital, Rotterdam, The Netherlands.,Department of Development and Regeneration, KU Leuven, Leuven, Belgium.,Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium
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4
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Hartman SJF, Swaving JGE, van Beek SW, van Groen BD, de Hoop M, van der Zanden TM, Ter Heine R, de Wildt SN. A New Framework to Implement Model-Informed Dosing in Clinical Guidelines: Piperacillin and Amikacin as Proof of Concept. Front Pharmacol 2020; 11:592204. [PMID: 33390970 PMCID: PMC7772249 DOI: 10.3389/fphar.2020.592204] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Accepted: 10/29/2020] [Indexed: 11/13/2022] Open
Abstract
Background: Modeling and simulation is increasingly used to study pediatric pharmacokinetics, but clinical implementation of age-appropriate doses lags behind. Therefore, we aimed to develop model-informed doses using published pharmacokinetic data and a decision framework to adjust dosing guidelines based on these doses, using piperacillin and amikacin in critically ill children as proof of concept. Methods: Piperacillin and amikacin pharmacokinetic models in critically ill children were extracted from literature. Concentration-time profiles were simulated for various dosing regimens for a virtual PICU patient dataset, including the current DPF dose and doses proposed in the studied publications. Probability of target attainment (PTA) was compared between the different dosing regimens. Next, updated dosing recommendations for the DPF were proposed, and evaluated using a new framework based on PK study quality and benefit-risk analysis of clinical implementation. Results: Three studies for piperacillin (critically ill children) and one for amikacin (critically ill pediatric burn patients) were included. Simulated concentration-time profiles were performed for a virtual dataset of 307 critically ill pediatric patients, age range 0.1–17.9 y. PTA for unbound piperacillin trough concentrations >16 mg/L was >90% only for continuous infusion regimens of 400 mg/kg/day vs. 9.7% for the current DPF dose (80 mg/kg/6 h, 30 min infusion). Amikacin PTA was >90% with 20 mg/kg/d, higher than the PTA of the DPF dose of 15 mg/kg/d (63.5%). Using our new decision framework, altered DPF doses were proposed for piperacillin (better PTA with loading dose plus continuous infusion), but not for amikacin (studied and target population were not comparable and risk for toxicity with higher dose). Conclusions: We show the feasibility to develop model-informed dosing guidelines for clinical implementation using existing pharmacokinetic data. This approach could complement literature and consensus-based dosing guidelines for off-label drugs in the absence of stronger evidence to support pediatricians in daily practice.
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Affiliation(s)
- Stan J F Hartman
- Department of Pharmacology and Toxicology, Radboud Institute of Health Sciences, Radboudumc, Nijmegen, Netherlands
| | - Joost G E Swaving
- Department of Pharmacology and Toxicology, Radboud Institute of Health Sciences, Radboudumc, Nijmegen, Netherlands
| | - Stijn W van Beek
- Department of Pharmacy, Radboud Institute of Health Sciences, Radboudumc, Nijmegen, Netherlands
| | - Bianca D van Groen
- Intensive Care and Department of Pediatric Surgery, Erasmus MC-Sophia Children's Hospital, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Marika de Hoop
- Dutch Knowledge Center Pharmacotherapy for Children, Den Haag, Netherlands.,Royal Dutch Pharmacist Association (KNMP), The Hague, Netherlands
| | - Tjitske M van der Zanden
- Intensive Care and Department of Pediatric Surgery, Erasmus MC-Sophia Children's Hospital, University Medical Center Rotterdam, Rotterdam, Netherlands.,Dutch Knowledge Center Pharmacotherapy for Children, Den Haag, Netherlands
| | - Rob Ter Heine
- Department of Pharmacy, Radboud Institute of Health Sciences, Radboudumc, Nijmegen, Netherlands
| | - Saskia N de Wildt
- Department of Pharmacology and Toxicology, Radboud Institute of Health Sciences, Radboudumc, Nijmegen, Netherlands.,Intensive Care and Department of Pediatric Surgery, Erasmus MC-Sophia Children's Hospital, University Medical Center Rotterdam, Rotterdam, Netherlands.,Dutch Knowledge Center Pharmacotherapy for Children, Den Haag, Netherlands.,Department of Intensive Care Medicine, Radboud Institute of Health Sciences, Radboudumc, Nijmegen, Netherlands
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5
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Darwich AS, Polasek TM, Aronson JK, Ogungbenro K, Wright DFB, Achour B, Reny JL, Daali Y, Eiermann B, Cook J, Lesko L, McLachlan AJ, Rostami-Hodjegan A. Model-Informed Precision Dosing: Background, Requirements, Validation, Implementation, and Forward Trajectory of Individualizing Drug Therapy. Annu Rev Pharmacol Toxicol 2020; 61:225-245. [PMID: 33035445 DOI: 10.1146/annurev-pharmtox-033020-113257] [Citation(s) in RCA: 73] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Model-informed precision dosing (MIPD) has become synonymous with modern approaches for individualizing drug therapy, in which the characteristics of each patient are considered as opposed to applying a one-size-fits-all alternative. This review provides a brief account of the current knowledge, practices, and opinions on MIPD while defining an achievable vision for MIPD in clinical care based on available evidence. We begin with a historical perspective on variability in dose requirements and then discuss technical aspects of MIPD, including the need for clinical decision support tools, practical validation, and implementation of MIPD in health care. We also discuss novel ways to characterize patient variability beyond the common perceptions of genetic control. Finally, we address current debates on MIPD from the perspectives of the new drug development, health economics, and drug regulations.
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Affiliation(s)
- Adam S Darwich
- Logistics and Informatics in Health Care, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), KTH Royal Institute of Technology, SE-141 57 Huddinge, Sweden
| | - Thomas M Polasek
- Department of Clinical Pharmacology, Royal Adelaide Hospital, Adelaide, South Australia 5000, Australia.,Centre for Medicine Use and Safety, Monash University, Melbourne, Victoria 3052, Australia.,Certara, Princeton, New Jersey 08540, USA
| | - Jeffrey K Aronson
- Centre for Evidence Based Medicine, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford OX2 6GG, United Kingdom
| | - Kayode Ogungbenro
- Centre for Applied Pharmacokinetic Research, The University of Manchester, Manchester M13 9PT, United Kingdom;
| | | | - Brahim Achour
- Centre for Applied Pharmacokinetic Research, The University of Manchester, Manchester M13 9PT, United Kingdom;
| | - Jean-Luc Reny
- Geneva Platelet Group, Faculty of Medicine, University of Geneva, CH-1211 Geneva, Switzerland.,Division of General Internal Medicine, Geneva University Hospitals, CH-1211 Geneva, Switzerland
| | - Youssef Daali
- Geneva Platelet Group, Faculty of Medicine, University of Geneva, CH-1211 Geneva, Switzerland
| | - Birgit Eiermann
- Inera AB, Swedish Association of Local Authorities and Regions, SE-118 93 Stockholm, Sweden
| | - Jack Cook
- Drug Safety Research & Development, Pfizer Inc., Groton, Connecticut 06340, USA
| | - Lawrence Lesko
- Center for Pharmacometrics and Systems Pharmacology, University of Florida, Orlando, Florida 32827, USA
| | - Andrew J McLachlan
- School of Pharmacy, The University of Sydney, Sydney, New South Wales 2006, Australia
| | - Amin Rostami-Hodjegan
- Certara, Princeton, New Jersey 08540, USA.,Centre for Applied Pharmacokinetic Research, The University of Manchester, Manchester M13 9PT, United Kingdom;
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6
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Dallmann A, Mian P, Van den Anker J, Allegaert K. Clinical Pharmacokinetic Studies in Pregnant Women and the Relevance of Pharmacometric Tools. Curr Pharm Des 2020; 25:483-495. [PMID: 30894099 DOI: 10.2174/1381612825666190320135137] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2019] [Accepted: 03/18/2019] [Indexed: 01/08/2023]
Abstract
BACKGROUND In clinical pharmacokinetic (PK) studies, pregnant women are significantly underrepresented because of ethical and legal reasons which lead to a paucity of information on potential PK changes in this population. As a consequence, pharmacometric tools became instrumental to explore and quantify the impact of PK changes during pregnancy. METHODS We explore and discuss the typical characteristics of population PK and physiologically based pharmacokinetic (PBPK) models with a specific focus on pregnancy and postpartum. RESULTS Population PK models enable the analysis of dense, sparse or unbalanced data to explore covariates in order to (partly) explain inter-individual variability (including pregnancy) and to individualize dosing. For population PK models, we subsequently used an illustrative approach with ketorolac data to highlight the relevance of enantiomer specific modeling for racemic drugs during pregnancy, while data on antibiotic prophylaxis (cefazolin) during surgery illustrate the specific characteristics of the fetal compartments in the presence of timeconcentration profiles. For PBPK models, an overview on the current status of reports and papers during pregnancy is followed by a PBPK cefuroxime model to illustrate the added benefit of PBPK in evaluating dosing regimens in pregnant women. CONCLUSIONS Pharmacometric tools became very instrumental to improve perinatal pharmacology. However, to reach their full potential, multidisciplinary collaboration and structured efforts are needed to generate more information from already available datasets, to share data and models, and to stimulate cross talk between clinicians and pharmacometricians to generate specific observations (pathophysiology during pregnancy, breastfeeding) needed to further develop the field.
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Affiliation(s)
- André Dallmann
- Pediatric Pharmacology and Pharmacometrics Research Center, University Children's Hospital Basel (UKBB), Basel 4056, Switzerland
| | - Paola Mian
- Intensive Care and Department of Pediatric Surgery, Erasmus MC-Sophia Children's Hospital, Rotterdam, Netherlands
| | - Johannes Van den Anker
- Pediatric Pharmacology and Pharmacometrics Research Center, University Children's Hospital Basel (UKBB), Basel 4056, Switzerland.,Intensive Care and Department of Pediatric Surgery, Erasmus MC-Sophia Children's Hospital, Rotterdam, Netherlands.,Division of Clinical Pharmacology, Children's National Health System, Washington, DC, United States
| | - Karel Allegaert
- Organ Systems, KU Leuven, Department of Development and Regeneration, Leuven, Belgium.,Department of Pediatrics, Division of Neonatology, Erasmus MC Sophia Children's Hospital, Rotterdam, Netherlands
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7
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Goulooze SC, Zwep LB, Vogt JE, Krekels EHJ, Hankemeier T, van den Anker JN, Knibbe CAJ. Beyond the Randomized Clinical Trial: Innovative Data Science to Close the Pediatric Evidence Gap. Clin Pharmacol Ther 2020; 107:786-795. [PMID: 31863465 DOI: 10.1002/cpt.1744] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2019] [Accepted: 11/22/2019] [Indexed: 12/13/2022]
Abstract
Despite the application of advanced statistical and pharmacometric approaches to pediatric trial data, a large pediatric evidence gap still remains. Here, we discuss how to collect more data from children by using real-world data from electronic health records, mobile applications, wearables, and social media. The large datasets collected with these approaches enable and may demand the use of artificial intelligence and machine learning to allow the data to be analyzed for decision making. Applications of this approach are presented, which include the prediction of future clinical complications, medical image analysis, identification of new pediatric end points and biomarkers, the prediction of treatment nonresponders, and the prediction of placebo-responders for trial enrichment. Finally, we discuss how to bring machine learning from science to pediatric clinical practice. We conclude that advantage should be taken of the current opportunities offered by innovations in data science and machine learning to close the pediatric evidence gap.
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Affiliation(s)
- Sebastiaan C Goulooze
- Division of Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands
| | - Laura B Zwep
- Division of Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands.,Mathematical Institute, Leiden University, Leiden, The Netherlands
| | - Julia E Vogt
- Medical Data Science Group, Department of Computer Science, ETH Zurich, Zurich, Switzerland.,Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Elke H J Krekels
- Division of Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands
| | - Thomas Hankemeier
- Division of Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands
| | - John N van den Anker
- Division of Clinical Pharmacology, Children's National Health System, Washington, District of Columbia, USA.,Paediatric Pharmacology and Pharmacometrics Research Program, University of Basel Children's Hospital, Basel, Switzerland
| | - Catherijne A J Knibbe
- Division of Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands.,Department of Clinical Pharmacy, St. Antonius Hospital, Nieuwegein, The Netherlands
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8
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Understanding Inter-Individual Variability in Monoclonal Antibody Disposition. Antibodies (Basel) 2019; 8:antib8040056. [PMID: 31817205 PMCID: PMC6963779 DOI: 10.3390/antib8040056] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2019] [Revised: 11/22/2019] [Accepted: 11/27/2019] [Indexed: 12/29/2022] Open
Abstract
Monoclonal antibodies (mAbs) are currently the largest and most dominant class of therapeutic proteins. Inter-individual variability has been observed for several mAbs; however, an understanding of the underlying mechanisms and factors contributing to inter-subject differences in mAb disposition is still lacking. In this review, we analyze the mechanisms of antibody disposition and the putative mechanistic determinants of inter-individual variability. Results from in vitro, preclinical, and clinical studies were reviewed evaluate the role of the neonatal Fc receptor and Fc gamma receptors (expression and polymorphism), target properties (expression, shedding, turnover, internalization, heterogeneity, polymorphism), and the influence of anti-drug antibodies. Particular attention is given to the influence of co-administered drugs and disease, and to the physiological relevance of covariates identified by population pharmacokinetic modeling, as determinants of variability in mAb pharmacokinetics.
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9
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Völler S, Flint RB, Andriessen P, Allegaert K, Zimmermann LJI, Liem KD, Koch BCP, Simons SHP, Knibbe CAJ. Rapidly maturing fentanyl clearance in preterm neonates. Arch Dis Child Fetal Neonatal Ed 2019; 104:F598-F603. [PMID: 31498775 DOI: 10.1136/archdischild-2018-315920] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2018] [Revised: 12/10/2018] [Accepted: 12/31/2018] [Indexed: 02/07/2023]
Abstract
BACKGROUND Fentanyl is frequently used off-label in preterm newborns. Due to very limited pharmacokinetic and pharmacodynamic data, fentanyl dosing is mostly based on bodyweight. This study describes the maturation of the pharmacokinetics in preterm neonates born before 32 weeks of gestation. METHODS 442 plasma samples from 98 preterm neonates (median gestational age: 26.9 (range 23.9-31.9) weeks, postnatal age: 3 (range 0-68) days, bodyweight 1.00 (range 0.39-2.37) kg) were collected in an opportunistic trial and fentanyl plasma levels were determined. NONMEM V.7.3 was used to develop a population pharmacokinetic model and to perform simulations. RESULTS Fentanyl pharmacokinetics was best described by a two-compartment model. A pronounced non-linear influence of postnatal and gestational age on clearance was identified. Clearance (L/hour/kg) increased threefold, 1.3-fold and 1.01-fold in the first, second and third weeks of life, respectively. In addition, clearance (L/hour/kg) was 1.4-fold and 1.7-fold higher in case of a gestational age of 28 and 31 weeks, respectively, compared with 25 weeks. Volume of distribution changed linearly with bodyweight and was 8.7 L/kg. To achieve similar exposure across the entire population, a continuous infusion (µg/kg/hour) dose should be reduced by 50% and 25% in preterm neonates with a postnatal age of 0-4 days and 5-9 days in comparison to 10 days and older. CONCLUSION Because of low clearance, bodyweight-based dosages may result in fentanyl accumulation in neonates with the lowest postnatal and gestational ages which may require dose reduction. Together with additional information on the pharmacodynamics, the results of this study can be used to guide dosing.
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Affiliation(s)
- Swantje Völler
- Division of Pharmacology, Division Systems Pharmacology and Biomedicine, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands
| | - Robert B Flint
- Division of Neonatology, Department of Pediatrics, Erasmus MC-Sophia Children's Hospital, University Medical Center Rotterdam, Rotterdam, The Netherlands.,Department of Pharmacy, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands.,Department of Pharmacy, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Peter Andriessen
- Division of Neonatology, Department of Pediatrics, Máxima Medical Center, Veldhoven, The Netherlands
| | - Karel Allegaert
- Division of Neonatology, Department of Pediatrics, Erasmus MC-Sophia Children's Hospital, Rotterdam, The Netherlands
| | - Luc J I Zimmermann
- Department of Pediatrics, School of Oncology and Developmental Biology, School of Mental Health and Neuroscience, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Kian D Liem
- Division of Neonatology, Department of Pediatrics, Radboudumc, Nijmegen, The Netherlands
| | - Birgit C P Koch
- Department of Pharmacy, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Sinno H P Simons
- Division of Neonatology, Department of Pediatrics, Erasmus MC-Sophia Children's Hospital, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Catherijne A J Knibbe
- Division of Pharmacology, Division Systems Pharmacology and Biomedicine, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands.,Department of Clinical Pharmacy, St Antonius Hospital, Nieuwegein, The Netherlands
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10
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Policies regarding public availability of published research data in pediatrics journals. Scientometrics 2019. [DOI: 10.1007/s11192-018-2978-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
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11
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Admiraal R, Boelens JJ. Pharmacotherapy in Pediatric Hematopoietic Cell Transplantation. Handb Exp Pharmacol 2019; 261:471-489. [PMID: 31375921 DOI: 10.1007/164_2019_247] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Hematopoietic cell transplantation (HCT) is a curative treatment option for both malignant and nonmalignant diseases. Success of the procedure mainly depends on disease control and treatment-related complications. Pharmacotherapy plays a major role in HCT and significantly impacts the outcomes. Main drug use within HCT includes conditioning, GvHD prophylaxis, and prevention/treatment of infections.Increasing evidence suggests individualized dosing in (pediatric) HCT may improve outcome. Dose individualization may result in a better predictable drug treatment in terms of safety and efficacy, including timely immune reconstitution after HCT and optimal tumor or disease control, which may result in improved survival chances.
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Affiliation(s)
- R Admiraal
- Blood and Marrow Transplantation Program, Prinses Maxima Center for Pediatric Oncology, Utrecht, The Netherlands
| | - J J Boelens
- Stem Cell Transplantation and Cellular Therapies Pediatrics, New York, NY, USA. .,Memorial Sloan Kettering Cancer Center, New York, NY, USA.
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12
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Zeilmaker GA, Pokorna P, Mian P, Wildschut ED, Knibbe CAJ, Krekels EHJ, Allegaert K, Tibboel D. Pharmacokinetic considerations for pediatric patients receiving analgesia in the intensive care unit; targeting postoperative, ECMO and hypothermia patients. Expert Opin Drug Metab Toxicol 2018; 14:417-428. [PMID: 29623729 DOI: 10.1080/17425255.2018.1461836] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
INTRODUCTION Adequate postoperative analgesia in pediatric patients in the intensive care unit (ICU) matters, since untreated pain is associated with negative outcomes. Compared to routine postoperative patients, children undergoing hypothermia (HT) or extracorporeal membrane oxygenation (ECMO), or recovering after cardiac surgery likely display non-maturational differences in pharmacokinetics (PK) and pharmacodynamics (PD). These differences warrant additional dosing recommendations to optimize pain treatment. Areas covered: Specific populations within the ICU will be discussed with respect to expected variations in PK and PD for various analgesics. We hereby move beyond maturational changes and focus on why PK/PD may be different in children undergoing HT, ECMO or cardiac surgery. We provide a stepwise manner to develop PK-based dosing regimens using population PK approaches in these populations. Expert opinion: A one-dose to size-fits-all for analgesia is suboptimal, but for several commonly used analgesics the impact of HT, ECMO or cardiac surgery on average PK parameters in children is not yet sufficiently known. Parameters considering both maturational and non-maturational covariates are important to develop population PK-based dosing advices as part of a strategy to optimize pain treatment.
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Affiliation(s)
- Gerdien A Zeilmaker
- a Intensive Care and Department of Pediatric Surgery , Erasmus MC-Sophia Children's Hospital , Rotterdam , The Netherlands
| | - Paula Pokorna
- a Intensive Care and Department of Pediatric Surgery , Erasmus MC-Sophia Children's Hospital , Rotterdam , The Netherlands.,b Department of Pediatrics, General Faculty Hospital Prague, First Faculty of Medicine , Charles University and General University Hospital in Prague , Prague , Czech Republic.,c Institute of Pharmacology, First Faculty of Medicine , Charles University and General University Hospital in Prague , Prague , Czech Republic
| | - Paola Mian
- a Intensive Care and Department of Pediatric Surgery , Erasmus MC-Sophia Children's Hospital , Rotterdam , The Netherlands
| | - Enno D Wildschut
- a Intensive Care and Department of Pediatric Surgery , Erasmus MC-Sophia Children's Hospital , Rotterdam , The Netherlands
| | - Catherijne A J Knibbe
- d Division of Pharmacology , LACDR, Leiden University , Leiden , The Netherlands.,e Department of Clinical Pharmacy , St. Antonius Hospital , Nieuwegein , The Netherlands
| | - Elke H J Krekels
- d Division of Pharmacology , LACDR, Leiden University , Leiden , The Netherlands
| | - Karel Allegaert
- a Intensive Care and Department of Pediatric Surgery , Erasmus MC-Sophia Children's Hospital , Rotterdam , The Netherlands.,f Department of Development and Regeneration , KU Leuven , Leuven , Belgium
| | - Dick Tibboel
- a Intensive Care and Department of Pediatric Surgery , Erasmus MC-Sophia Children's Hospital , Rotterdam , The Netherlands
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13
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External Evaluation of Population Pharmacokinetic Models of Infliximab in Patients With Inflammatory Bowel Disease. Ther Drug Monit 2018; 40:120-129. [DOI: 10.1097/ftd.0000000000000476] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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14
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Goulooze SC, Krekels EH, van Dijk M, Tibboel D, van der Graaf PH, Hankemeier T, Knibbe CA, van Hasselt JC. Towards personalized treatment of pain using a quantitative systems pharmacology approach. Eur J Pharm Sci 2017; 109S:S32-S38. [DOI: 10.1016/j.ejps.2017.05.027] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2017] [Accepted: 05/11/2017] [Indexed: 02/08/2023]
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15
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Krekels EHJ, DeJongh J, van Lingen RA, van der Marel CD, Choonara I, Lynn AM, Danhof M, Tibboel D, Knibbe C. Predictive Performance of a Recently Developed Population Pharmacokinetic Model for Morphine and its Metabolites in New Datasets of (Preterm) Neonates, Infants and Children. Clin Pharmacokinet 2017; 50:51-63. [PMID: 27975238 DOI: 10.2165/11536750-000000000-00000] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
BACKGROUND AND OBJECTIVE Model validation procedures are crucial when models are to be used to develop new dosing algorithms. In this study, the predictive performance of a previously published paediatric population pharmacokinetic model for morphine and its metabolites in children younger than 3 years (original model) is studied in new datasets that were not used to develop the original model. METHODS Six external datasets including neonates and infants up to 1 year were obtained from four different research centres. These datasets contained postoperative patients, ventilated patients and patients on extracorporeal membrane oxygenation (ECMO) treatment. Basic observed versus predicted plots, normalized prediction distribution error analysis, model refitting, bootstrap analysis, subpopulation analysis and a literature comparison of clearance predictions were performed with the new datasets to evaluate the predictive performance of the original morphine pharmacokinetic model. RESULTS The original model was found to be stable and the parameter estimates were found to be precise. The concentrations predicted by the original model were in good agreement with the observed concentrations in the four datasets from postoperative and ventilated patients, and the model-predicted clearances in these datasets were in agreement with literature values. In the datasets from patients on ECMO treatment with continuous venovenous haemofiltration (CVVH) the predictive performance of the model was good as well, whereas underprediction occurred, particularly for the metabolites, in patients on ECMO treatment without CVVH. CONCLUSION The predictive value of the original morphine pharmacokinetic model is demonstrated in new datasets by the use of six different validation and evaluation tools. It is herewith justified to undertake a proof-of-principle approach in the development of rational dosing recommendations - namely, performing a prospective clinical trial in which the model-based dosing algorithm is clinically evaluated.
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Affiliation(s)
- Elke H J Krekels
- Division of Pharmacology, Leiden/Amsterdam Center for Drug Research, Leiden, The Netherlands.,Department of Pediatric Surgery, Erasmus MC-Sophia Children's Hospital, Rotterdam, The Netherlands
| | - Joost DeJongh
- Division of Pharmacology, Leiden/Amsterdam Center for Drug Research, Leiden, The Netherlands.,LAP&P Consultants BV, Leiden, The Netherlands
| | - Richard A van Lingen
- Princess Amalia Department of Pediatrics, Division of Neonatology, Isala Clinics, Zwolle, The Netherlands
| | - Caroline D van der Marel
- Department of Pediatric Surgery, Erasmus MC-Sophia Children's Hospital, Rotterdam, The Netherlands
| | - Imti Choonara
- Academic Division of Child Health, University of Nottingham, Derbyshire Children's Hospital, Derby, UK
| | - Anne M Lynn
- Department of Anesthesiology and Pain Medicine, Seattle Children's Hospital/University of Washington School of Medicine, Seattle, Washington, USA
| | - Meindert Danhof
- Division of Pharmacology, Leiden/Amsterdam Center for Drug Research, Leiden, The Netherlands
| | - Dick Tibboel
- Department of Pediatric Surgery, Erasmus MC-Sophia Children's Hospital, Rotterdam, The Netherlands
| | - Catherijne Knibbe
- Division of Pharmacology, Leiden/Amsterdam Center for Drug Research, Leiden, The Netherlands. .,Department of Pediatric Surgery, Erasmus MC-Sophia Children's Hospital, Rotterdam, The Netherlands. .,Department of Clinical Pharmacy, St Antonius Hospital, PO Box 2500, 3430 EM, Nieuwegein, The Netherlands.
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16
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Allegaert K, Simons SHP, Tibboel D, Krekels EH, Knibbe CA, van den Anker JN. Non-maturational covariates for dynamic systems pharmacology models in neonates, infants, and children: Filling the gaps beyond developmental pharmacology. Eur J Pharm Sci 2017; 109S:S27-S31. [PMID: 28506866 DOI: 10.1016/j.ejps.2017.05.023] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2017] [Accepted: 05/11/2017] [Indexed: 02/07/2023]
Abstract
Pharmacokinetics and -dynamics show important changes throughout childhood. Studies on the different maturational processes that influence developmental pharmacology have been used to create population PK/PD models that can yield individualized pediatric drug dosages. These models were subsequently translated to semi-physiologically or physiology-based PK (PBPK) models that support predictions in pediatric patient cohorts and other special populations. Although these translational efforts are crucial, these models should be further improved towards individual patient predictions by including knowledge on non-maturational covariates. These efforts are needed to ultimately get to systems pharmacology models for children. These models take developmental changes relating to the pediatric dynamical system into account but also other aspects that may be of importance such as abnormal body composition, pharmacogenetics, critical illness and inflammatory status.
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Affiliation(s)
- Karel Allegaert
- Intensive Care and Department of Pediatric Surgery, Erasmus MC Sophia Children's Hospital, Rotterdam, the Netherlands; Department of Development and Regeneration KU Leuven, Leuven, Belgium
| | - Sinno H P Simons
- Department of Pediatrics, Division of Neonatology, Erasmus MC Sophia Children's Hospital, Rotterdam, the Netherlands.
| | - Dick Tibboel
- Intensive Care and Department of Pediatric Surgery, Erasmus MC Sophia Children's Hospital, Rotterdam, the Netherlands
| | - Elke H Krekels
- Division of Pharmacology, Leiden Academic Center for Drug Research, Leiden, the Netherlands
| | - Catherijne A Knibbe
- Division of Pharmacology, Leiden Academic Center for Drug Research, Leiden, the Netherlands; Department of Clinical Pharmacy, St. Antonius Hospital, Nieuwegein, the Netherlands
| | - John N van den Anker
- Intensive Care and Department of Pediatric Surgery, Erasmus MC Sophia Children's Hospital, Rotterdam, the Netherlands; Division of Clinical Pharmacology, Children's National Health System, Washington, DC, USA; Division of Pediatric Pharmacology and Pharmacometrics, University of Basel Children's Hospital, Basel, Switzerland
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17
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Völler S, Flint RB, Stolk LM, Degraeuwe PLJ, Simons SHP, Pokorna P, Burger DM, de Groot R, Tibboel D, Knibbe CAJ. Model-based clinical dose optimization for phenobarbital in neonates: An illustration of the importance of data sharing and external validation. Eur J Pharm Sci 2017; 109S:S90-S97. [PMID: 28506869 DOI: 10.1016/j.ejps.2017.05.026] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2017] [Accepted: 05/11/2017] [Indexed: 11/27/2022]
Abstract
BACKGROUND Particularly in the pediatric clinical pharmacology field, data-sharing offers the possibility of making the most of all available data. In this study, we utilize previously collected therapeutic drug monitoring (TDM) data of term and preterm newborns to develop a population pharmacokinetic model for phenobarbital. We externally validate the model using prospective phenobarbital data from an ongoing pharmacokinetic study in preterm neonates. METHODS TDM data from 53 neonates (gestational age (GA): 37 (24-42) weeks, bodyweight: 2.7 (0.45-4.5) kg; postnatal age (PNA): 4.5 (0-22) days) contained information on dosage histories, concentration and covariate data (including birth weight, actual weight, post-natal age (PNA), postmenstrual age, GA, sex, liver and kidney function, APGAR-score). Model development was carried out using NONMEM® 7.3. After assessment of model fit, the model was validated using data of 17 neonates included in the DINO (Drug dosage Improvement in NeOnates)-study. RESULTS Modelling of 229 plasma concentrations, ranging from 3.2 to 75.2mg/L, resulted in a one compartment model for phenobarbital. Clearance (CL) and volume (Vd) for a child with a birthweight of 2.6kg at PNA day 4.5 was 0.0091L/h (9%) and 2.38L (5%), respectively. Birthweight and PNA were the best predictors for CL maturation, increasing CL by 36.7% per kg birthweight and 5.3% per postnatal day of living, respectively. The best predictor for the increase in Vd was actual bodyweight (0.31L/kg). External validation showed that the model can adequately predict the pharmacokinetics in a prospective study. CONCLUSION Data-sharing can help to successfully develop and validate population pharmacokinetic models in neonates. From the results it seems that both PNA and bodyweight are required to guide dosing of phenobarbital in term and preterm neonates.
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Affiliation(s)
- Swantje Völler
- Division of Pharmacology, Leiden Academic Center for Drug Research, Gorlaeus Laboratories, Einsteinweg 55, 2333 CC Leiden, The Netherlands.
| | - Robert B Flint
- Department of Pediatrics, Division of Neonatology, Erasmus MC - Sophia Children's Hospital, Rotterdam, The Netherlands; Department of Pharmacy, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands; Department of Pharmacy, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Leo M Stolk
- Department of Clinical Pharmacy, Maastricht UMC, The Netherlands
| | - Pieter L J Degraeuwe
- Department of Pediatrics, Division of Neonatology, Maastricht UMC, Maastricht, The Netherlands
| | - Sinno H P Simons
- Department of Pediatrics, Division of Neonatology, Erasmus MC - Sophia Children's Hospital, Rotterdam, The Netherlands
| | - Paula Pokorna
- Department of Pediatrics - PICU/NICU, General University Hospital, 1st Faculty of Medicine Charles University, Prague, Czech Republic; Department of Pharmacology, General University Hospital, 1st Faculty of Medicine Charles University, Prague, Czech Republic; Intensive Care, Department of Pediatric Surgery, Department of Pediatrics, Erasmus MC - Sophia Children's Hospital, Rotterdam, The Netherlands
| | - David M Burger
- Department of Pharmacy, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Ronald de Groot
- Laboratory of Pediatric Infectious Diseases, Department of Pediatrics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Dick Tibboel
- Intensive Care, Department of Pediatric Surgery, Department of Pediatrics, Erasmus MC - Sophia Children's Hospital, Rotterdam, The Netherlands
| | - Catherijne A J Knibbe
- Division of Pharmacology, Leiden Academic Center for Drug Research, Gorlaeus Laboratories, Einsteinweg 55, 2333 CC Leiden, The Netherlands; Department of Clinical Pharmacy, St. Antonius Hospital, Nieuwegein, The Netherlands
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18
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Krekels EHJ, van Hasselt JGC, van den Anker JN, Allegaert K, Tibboel D, Knibbe CAJ. Evidence-based drug treatment for special patient populations through model-based approaches. Eur J Pharm Sci 2017; 109S:S22-S26. [PMID: 28502674 DOI: 10.1016/j.ejps.2017.05.022] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2017] [Accepted: 05/11/2017] [Indexed: 10/19/2022]
Abstract
The majority of marketed drugs remain understudied in some patient populations such as pregnant women, paediatrics, the obese, the critically-ill, and the elderly. As a consequence, currently used dosing regimens may not assure optimal efficacy or minimal toxicity in these patients. Given the vulnerability of some subpopulations and the challenges and costs of performing clinical studies in these populations, cutting-edge approaches are needed to effectively develop evidence-based and individualized drug dosing regimens. Five key issues are presented that are essential to support and expedite the development of drug dosing regimens in these populations using model-based approaches: 1) model development combined with proper validation procedures to extract as much valid information from available study data as possible, with limited burden to patients and costs; 2) integration of existing data and the use of prior pharmacological and physiological knowledge in study design and data analysis, to further develop knowledge and avoid unnecessary or unrealistic (large) studies in vulnerable populations; 3) clinical proof-of-principle in a prospective evaluation of a developed drug dosing regimen, to confirm that a newly proposed regimen indeed results in the desired outcomes in terms of drug concentrations, efficacy, and/or safety; 4) pharmacodynamics studies in addition to pharmacokinetics studies for drugs for which a difference in disease progression and/or in exposure-response relation is anticipated compared to the reference population; 5) additional efforts to implement developed dosing regimens in clinical practice once drug pharmacokinetics and pharmacodynamics have been characterized in special patient populations. The latter remains an important bottleneck, but this is essential to truly realize evidence-based and individualized drug dosing for special patient populations. As all tools required for this purpose are available, we have the moral and societal obligation to make safe and effective pharmacotherapy available for these patients too.
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Affiliation(s)
- Elke H J Krekels
- Leiden Academic Center for Drug Research, Systems Pharmacology Cluster, Division of Pharmacology, Leiden University, Leiden, The Netherlands.
| | - J G Coen van Hasselt
- Leiden Academic Center for Drug Research, Systems Pharmacology Cluster, Division of Pharmacology, Leiden University, Leiden, The Netherlands; Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - John N van den Anker
- Intensive Care and Department of Pediatric Surgery, Erasmus MC Sophia Children's Hospital, Rotterdam, The Netherlands; Division of Clinical Pharmacology, Children's National Health System, Washington, DC, USA; Division of Pediatric Pharmacology and Pharmacometrics, University of Basel Children's Hospital, Basel, Switzerland
| | - Karel Allegaert
- Intensive Care and Department of Pediatric Surgery, Erasmus MC Sophia Children's Hospital, Rotterdam, The Netherlands; Department of Development and Regeneration, KU Leuven, Leuven, Belgium
| | - Dick Tibboel
- Intensive Care and Department of Pediatric Surgery, Erasmus MC Sophia Children's Hospital, Rotterdam, The Netherlands
| | - Catherijne A J Knibbe
- Leiden Academic Center for Drug Research, Systems Pharmacology Cluster, Division of Pharmacology, Leiden University, Leiden, The Netherlands; Department of Clinical Pharmacy, St. Antonius Hospital, Nieuwegein, The Netherlands
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19
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Darwich AS, Ogungbenro K, Vinks AA, Powell JR, Reny JL, Marsousi N, Daali Y, Fairman D, Cook J, Lesko LJ, McCune JS, Knibbe CAJ, de Wildt SN, Leeder JS, Neely M, Zuppa AF, Vicini P, Aarons L, Johnson TN, Boiani J, Rostami-Hodjegan A. Why Has Model-Informed Precision Dosing Not Yet Become Common Clinical Reality? Lessons From the Past and a Roadmap for the Future. Clin Pharmacol Ther 2017; 101:646-656. [DOI: 10.1002/cpt.659] [Citation(s) in RCA: 121] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2017] [Revised: 02/07/2017] [Accepted: 02/07/2017] [Indexed: 12/17/2022]
Affiliation(s)
- A S Darwich
- Centre for Applied Pharmacokinetic Research, Division of Pharmacy and Optometry; University of Manchester; Manchester UK
| | - K Ogungbenro
- Centre for Applied Pharmacokinetic Research, Division of Pharmacy and Optometry; University of Manchester; Manchester UK
| | - A A Vinks
- Cincinnati Children's Hospital Medical Center; Cincinnati Ohio USA
- Department of Pediatrics; University of Cincinnati School of medicine; Cincinnati Ohio USA
| | - J R Powell
- Eshelman School of Pharmacy; University of North Carolina; Chapel Hill North Carolina USA
| | - J-L Reny
- Geneva Platelet Group, School of Medicine; University of Geneva; Geneva Switzerland
- Department of Internal Medicine, Rehabilitation and Geriatrics; Geneva University Hospitals; Geneva Switzerland
| | - N Marsousi
- Clinical Pharmacology and Toxicology; Geneva University Hospitals; Geneva Switzerland
| | - Y Daali
- Geneva Platelet Group, School of Medicine; University of Geneva; Geneva Switzerland
- Clinical Pharmacology and Toxicology; Geneva University Hospitals; Geneva Switzerland
| | - D Fairman
- Clinical Pharmacology Modeling and Simulation, GSK Stevenage; UK
| | - J Cook
- Clinical Pharmacology, Pfizer Inc; Groton Connecticut USA
| | - L J Lesko
- Department of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology; University of Florida at Lake Nona (Orlando); Orlando Florida USA
| | - J S McCune
- University of Washington Department of Pharmaceutics and Fred Hitchinson Cancer Research Center Clinical Research Division; Seattle Washington USA
| | - C A J Knibbe
- Department of Clinical Pharmacy, St. Antonius Hospital, Nieuwegein, the Netherlands and Division of Pharmacology, Leiden Academic Centre for Drug Research; Leiden University; the Netherlands
| | - S N de Wildt
- Department of Pharmacology and Toxicology; Radboud University; Nijmegen the Netherlands
- Intensive Care and Department of Pediatric Surgery, Erasmus MC Sophia Children's Hospital; Rotterdam the Netherlands
| | - J S Leeder
- Division of Pediatric Pharmacology and Medical Toxicology, Department of Pediatrics, Children's Mercy Hospitals and Clinics; Kansas City Missouri USA
- Department of Pharmacology; University of Missouri-Kansas City; Kansas City Missouri USA
| | - M Neely
- University of Southern California and the Children's Hospital of Los Angeles; Los Angeles California USA
| | - A F Zuppa
- Children's Hospital of Philadelphia; Philadelphia Pennsylvania USA
| | - P Vicini
- Clinical Pharmacology, Pharmacometrics and DMPK, MedImmune; Cambridge UK
| | - L Aarons
- Centre for Applied Pharmacokinetic Research, Division of Pharmacy and Optometry; University of Manchester; Manchester UK
| | - T N Johnson
- Certara, Blades Enterprise Centre; Sheffield UK
| | - J Boiani
- Epstein Becker & Green; Washington DC USA
| | - A Rostami-Hodjegan
- Centre for Applied Pharmacokinetic Research, Division of Pharmacy and Optometry; University of Manchester; Manchester UK
- Epstein Becker & Green; Washington DC USA
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20
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Janssen EJH, Bastiaans DET, Välitalo PAJ, van Rossum AMC, Jacqz-Aigrain E, Lyall H, Knibbe CAJ, Burger DM. Dose evaluation of lamivudine in human immunodeficiency virus-infected children aged 5 months to 18 years based on a population pharmacokinetic analysis. Br J Clin Pharmacol 2017; 83:1287-1297. [PMID: 28079918 DOI: 10.1111/bcp.13227] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2016] [Revised: 11/16/2016] [Accepted: 12/18/2016] [Indexed: 01/16/2023] Open
Abstract
AIM The objectives of this study were to characterize age-related changes in lamivudine pharmacokinetics in children and evaluate lamivudine exposure, followed by dose recommendations for subgroups in which target steady state area under the daily plasma concentration-time curve (AUC0-24h ) is not reached. METHODS Population pharmacokinetic modelling was performed in NONMEM using data from two model-building datasets and two external datasets [n = 180 (age 0.4-18 years, body weight 3.4-60.5 kg); 2061 samples (median 12 per child); daily oral dose 60-300 mg (3.9-17.6 mg kg-1 )]. Steady state AUC0-24h was calculated per individual (adult target 8.9 mg·h l-1 ). RESULTS A two-compartment model with sequential zero order and first order absorption best described the data. Apparent clearance and central volume of distribution (% RSE) were 13.2 l h-1 (4.2%) and 38.9 l (7.0%) for a median individual of 16.6 kg, respectively. Bodyweight was identified as covariate on apparent clearance and volume of distribution using power functions (exponents 0.506 (20.2%) and 0.489 (32.3%), respectively). The external evaluation supported the predictive ability of the final model. In 94.5% and 35.8% of the children with a body weight >14 kg and <14 kg, respectively, the target AUC0-24h was reached. CONCLUSION Bodyweight best predicted the developmental changes in apparent lamivudine clearance and volume of distribution. For children aged 5 months-18 years with a body weight <14 kg, the dose should be increased from 8 to 10 mg kg-1 day-1 if the adult target for AUC0-24h is aimed for. In order to identify whether bodyweight influences bioavailability, clearance and/or volume of distribution, future analysis including data on intravenously administered lamivudine is needed.
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Affiliation(s)
- Esther J H Janssen
- Division of Pharmacology, Leiden Academic Centre for Drug Research, Leiden University, Leiden, the Netherlands
| | - Diane E T Bastiaans
- Department of Pharmacy & Radboud Institute for Health Sciences (RIHS), Radboud University Medical Center, Nijmegen, the Netherlands
| | - Pyry A J Välitalo
- Division of Pharmacology, Leiden Academic Centre for Drug Research, Leiden University, Leiden, the Netherlands
| | - Annemarie M C van Rossum
- Division of Pediatric Infectious Diseases and Immunology, Erasmus MC/Sophia, Rotterdam, the Netherlands
| | - Evelyne Jacqz-Aigrain
- Department of Pediatric Pharmacology and Pharmacogenetics, Hôpital Robert Debré, Université Paris VII, Paris, France.,Clinical Investigation Center CIC9202, INSERM, Paris, France
| | - Hermione Lyall
- Department of Pediatrics, St Mary's Hospital, London, UK
| | - Catherijne A J Knibbe
- Division of Pharmacology, Leiden Academic Centre for Drug Research, Leiden University, Leiden, the Netherlands.,Department of Clinical Pharmacy, St. Antonius Hospital, Nieuwegein, the Netherlands
| | - David M Burger
- Department of Pharmacy & Radboud Institute for Health Sciences (RIHS), Radboud University Medical Center, Nijmegen, the Netherlands
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21
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Mooij MG, Nies AT, Knibbe CAJ, Schaeffeler E, Tibboel D, Schwab M, de Wildt SN. Development of Human Membrane Transporters: Drug Disposition and Pharmacogenetics. Clin Pharmacokinet 2016; 55:507-24. [PMID: 26410689 PMCID: PMC4823323 DOI: 10.1007/s40262-015-0328-5] [Citation(s) in RCA: 43] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
Membrane transporters play an essential role in the transport of endogenous and exogenous compounds, and consequently they mediate the uptake, distribution, and excretion of many drugs. The clinical relevance of transporters in drug disposition and their effect in adults have been shown in drug–drug interaction and pharmacogenomic studies. Little is known, however, about the ontogeny of human membrane transporters and their roles in pediatric pharmacotherapy. As they are involved in the transport of endogenous substrates, growth and development may be important determinants of their expression and activity. This review presents an overview of our current knowledge on human membrane transporters in pediatric drug disposition and effect. Existing pharmacokinetic and pharmacogenetic data on membrane substrate drugs frequently used in children are presented and related, where possible, to existing ex vivo data, providing a basis for developmental patterns for individual human membrane transporters. As data for individual transporters are currently still scarce, there is a striking information gap regarding the role of human membrane transporters in drug therapy in children.
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Affiliation(s)
- Miriam G Mooij
- Intensive Care and Department of Pediatric Surgery, Erasmus MC-Sophia Children's Hospital, Room Sp-3458, Wytemaweg 80, PO-box 2060, 3000 CB, Rotterdam, The Netherlands
| | - Anne T Nies
- Dr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany.,University of Tuebingen, Tuebingen, Germany
| | - Catherijne A J Knibbe
- Faculty of Science, Leiden Academic Centre for Research, Pharmacology, Leiden, The Netherlands.,Hospital Pharmacy and Clinical Pharmacology, St. Antonius Hospital, Nieuwegein, The Netherlands
| | - Elke Schaeffeler
- Dr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany.,University of Tuebingen, Tuebingen, Germany
| | - Dick Tibboel
- Intensive Care and Department of Pediatric Surgery, Erasmus MC-Sophia Children's Hospital, Room Sp-3458, Wytemaweg 80, PO-box 2060, 3000 CB, Rotterdam, The Netherlands
| | - Matthias Schwab
- Dr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany.,Department of Clinical Pharmacology, University Hospital Tuebingen, Tuebingen, Germany
| | - Saskia N de Wildt
- Intensive Care and Department of Pediatric Surgery, Erasmus MC-Sophia Children's Hospital, Room Sp-3458, Wytemaweg 80, PO-box 2060, 3000 CB, Rotterdam, The Netherlands.
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22
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Nakau K, Sugimoto M, Oka H, Kajihama A, Maeda J, Yamagishi H, Kamiyama N, Tasaki Y, Kajino H, Azuma H. Pharmacokinetics of drugs for pediatric pulmonary hypertension. Pediatr Int 2016; 58:1112-1117. [PMID: 27038140 DOI: 10.1111/ped.12997] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2016] [Revised: 03/17/2016] [Accepted: 03/24/2016] [Indexed: 12/01/2022]
Abstract
BACKGROUND Over the past few years, several drugs, each with a different mechanism, have been developed for the treatment of pulmonary hypertension (PH) and are now prescribed in the clinical setting. While the optimal doses of these drugs in adults have been determined, the optimal dose in children, however, is unclear. The aim of this study was therefore, to measure blood drug levels and analyze the pharmacokinetics of two such drugs in children. METHODS From April 2010 to May 2015, we prospectively enrolled 23 children with PH for treatment with bosentan and/or tadalafil. Twenty children were treated with bosentan and 19 received tadalafil. Sixteen children were given both drugs. Blood samples were collected after 2 weeks of treatment, and blood drug levels measured using high-performance liquid chromatography. RESULTS For both drugs, the peak plasma concentration was lower and the half-life was shorter than the known values in adults. The blood trough level of bosentan significantly correlated with its dose, but no such correlation was seen for tadalafil. For both drugs, no correlation was observed between age and blood drug levels. CONCLUSIONS Oral dosing with bosentan and tadalafil in children may not achieve therapeutic blood concentration. Thus, the optimal dosing must be established individually while monitoring blood drug level.
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Affiliation(s)
- Kouichi Nakau
- Department of Pediatrics, Asahikawa Medical University, Asahikawa, Japan
| | - Masaya Sugimoto
- Department of Pediatrics, Asahikawa Medical University, Asahikawa, Japan
| | - Hideharu Oka
- Department of Pediatrics, Asahikawa Medical University, Asahikawa, Japan
| | - Aya Kajihama
- Department of Pediatrics, Asahikawa Medical University, Asahikawa, Japan
| | - Jun Maeda
- Department of Pediatrics, Keio University School of Medicine, Tokyo, Japan
| | - Hiroyuki Yamagishi
- Department of Pediatrics, Keio University School of Medicine, Tokyo, Japan
| | - Naoya Kamiyama
- Asahikawa Medical University Hospital Pharmacy, Asahikawa, Japan
| | - Yoshikazu Tasaki
- Asahikawa Medical University Hospital Pharmacy, Asahikawa, Japan
| | - Hiroki Kajino
- Department of Pediatrics, Abashiri-Kosei General Hospital, Abashiri, Japan
| | - Hiroshi Azuma
- Department of Pediatrics, Asahikawa Medical University, Asahikawa, Japan
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23
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van Schaick E, Benninga MA, Levine A, Magnusson M, Troy S. Development of a population pharmacokinetic model of prucalopride in children with functional constipation. Pharmacol Res Perspect 2016; 4:e00236. [PMID: 27891230 PMCID: PMC5114692 DOI: 10.1002/prp2.236] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2015] [Revised: 03/16/2016] [Accepted: 03/18/2016] [Indexed: 11/10/2022] Open
Abstract
A recent phase 3 trial of prucalopride in children with functional constipation (SPD555-303 ClinicalTrials.gov Identifier: NCT01330381) reported negative efficacy results. Here, we developed a population pharmacokinetic (PK) model of prucalopride in children to assess prucalopride exposure in SPD555-303. An initial population PK model in children was developed based on sampled single-dose data from a phase 1 study (PRU-USA-12). This model was subsequently updated with sampled data from SPD555-303 and used to simulate plasma concentration-time profiles for children aged 6 months to 18 years who were treated once daily with prucalopride 0.02, 0.04, or 0.06 mg kg-1 (maximum dose, 2 mg). Simulated PK profiles were compared with those of adults at the recommended dose of 2 mg once daily. Data were available from 38 patients (median age, 8.5 years) in PRU-USA-12 and 137 patients (median age, 7.9 years) in SPD555-303. Mean (range) area under the plasma concentration-time curve (AUC) at steady state was 62.3 (40.5-82.7) ng mL-1 h (dose, 0.03 mg kg-1) in PRU-USA-12 and 100.3 (22.7-286.0) ng mL-1 h (dose, 0.04 mg kg-1; maximum, 2 mg) in SPD555-303. Prucalopride 0.04 mg kg-1 once daily in children produced similar maximum plasma concentrations and approximately 10% lower AUC compared with adults receiving 2 mg once daily. This population PK analysis indicates that the PK profile of prucalopride in children in SPD555-303 was similar to that observed in adults. The negative efficacy results of SPD555-303 cannot be explained by differences in prucalopride exposure between children and adults.
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Affiliation(s)
| | - Marc A. Benninga
- Division of Pediatric Gastroenterology and NutritionEmma Children's Hospital/Academic Medical CenterAmsterdamNetherland
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24
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Himebauch AS, Kilbaugh TJ, Zuppa AF. Pharmacotherapy during pediatric extracorporeal membrane oxygenation: a review. Expert Opin Drug Metab Toxicol 2016; 12:1133-42. [PMID: 27322360 DOI: 10.1080/17425255.2016.1201066] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
INTRODUCTION Pediatric critical illness and associated alterations in organ function can change drug pharmacokinetics (PK). Extracorporeal membrane oxygenation (ECMO), a life-saving therapy for severe cardiac and/or respiratory failure, causes additional PK alterations that affect drug disposition. AREAS COVERED The purposes of this review are to discuss the PK changes that occur during ECMO, the associated therapeutic implications, and to review PK literature relevant to pediatric ECMO. We discuss various classes of drugs commonly used for pediatric patients on ECMO, including sedatives, analgesics, antimicrobials and cardiovascular drugs. Finally, we discuss future areas of research and recommend strategies for future pediatric ECMO pharmacologic investigations. EXPERT OPINION Clinicians caring for pediatric patients treated with ECMO must have an understanding of PK alterations that could lead to either therapeutic failures or increased drug toxicity during this life-saving therapy. Limited data currently exist for optimal drug dosing in pediatric populations who are treated with ECMO. While there are clear challenges to conducting and analyzing data associated with clinical pharmacokinetic-pharmacodynamic studies of children on ECMO, we present techniques to address these challenges. Improved understanding of the physiology and drug disposition during ECMO combined with PK-PD modeling will allow for more adaptable and individualized dosing schemes.
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Affiliation(s)
- Adam S Himebauch
- a Department of Anesthesiology and Critical Care Medicine, Perelman School of Medicine , University of Pennsylvania, The Children's Hospital of Philadelphia , Philadelphia , PA , USA.,b Center for Clinical Pharmacology , The Children's Hospital of Philadelphia , Philadelphia , PA , USA
| | - Todd J Kilbaugh
- a Department of Anesthesiology and Critical Care Medicine, Perelman School of Medicine , University of Pennsylvania, The Children's Hospital of Philadelphia , Philadelphia , PA , USA
| | - Athena F Zuppa
- a Department of Anesthesiology and Critical Care Medicine, Perelman School of Medicine , University of Pennsylvania, The Children's Hospital of Philadelphia , Philadelphia , PA , USA.,b Center for Clinical Pharmacology , The Children's Hospital of Philadelphia , Philadelphia , PA , USA
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Brussee JM, Calvier EAM, Krekels EHJ, Välitalo PAJ, Tibboel D, Allegaert K, Knibbe CAJ. Children in clinical trials: towards evidence-based pediatric pharmacotherapy using pharmacokinetic-pharmacodynamic modeling. Expert Rev Clin Pharmacol 2016; 9:1235-44. [PMID: 27269200 DOI: 10.1080/17512433.2016.1198256] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
INTRODUCTION In pediatric pharmacotherapy, many drugs are still used off-label, and their efficacy and safety is not well characterized. Different efficacy and safety profiles in children of varying ages may be anticipated, due to developmental changes occurring across pediatric life. AREAS COVERED Beside pharmacokinetic (PK) studies, pharmacodynamic (PD) studies are urgently needed. Validated PKPD models can be used to derive optimal dosing regimens for children of different ages, which can be evaluated in a prospective study before implementation in clinical practice. Strategies should be developed to ensure that formularies update their drug dosing guidelines regularly according to the most recent advances in research, allowing for clinicians to integrate these guidelines in daily practice. Expert commentary: We anticipate a trend towards a systems-level approach in pediatric modeling to optimally use the information gained in pediatric trials. For this approach, properly designed clinical PKPD studies will remain the backbone of pediatric research.
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Affiliation(s)
- Janneke M Brussee
- a Division of Pharmacology, Leiden Academic Centre for Drug Research , Leiden University , Leiden , The Netherlands
| | - Elisa A M Calvier
- a Division of Pharmacology, Leiden Academic Centre for Drug Research , Leiden University , Leiden , The Netherlands
| | - Elke H J Krekels
- a Division of Pharmacology, Leiden Academic Centre for Drug Research , Leiden University , Leiden , The Netherlands
| | - Pyry A J Välitalo
- a Division of Pharmacology, Leiden Academic Centre for Drug Research , Leiden University , Leiden , The Netherlands
| | - Dick Tibboel
- b Intensive Care and Department of Surgery , Erasmus MC-Sophia Children's Hospital , Rotterdam , The Netherlands
| | - Karel Allegaert
- b Intensive Care and Department of Surgery , Erasmus MC-Sophia Children's Hospital , Rotterdam , The Netherlands.,c Department of Development and Regeneration , KU Leuven , Leuven , Belgium
| | - Catherijne A J Knibbe
- a Division of Pharmacology, Leiden Academic Centre for Drug Research , Leiden University , Leiden , The Netherlands.,d Department of Clinical Pharmacy , St. Antonius Hospital , Nieuwegein , The Netherlands
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Towards Rational Dosing Algorithms for Vancomycin in Neonates and Infants Based on Population Pharmacokinetic Modeling. Antimicrob Agents Chemother 2015; 60:1013-21. [PMID: 26643337 DOI: 10.1128/aac.01968-15] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2015] [Accepted: 11/22/2015] [Indexed: 01/08/2023] Open
Abstract
Because of the recent awareness that vancomycin doses should aim to meet a target area under the concentration-time curve (AUC) instead of trough concentrations, more aggressive dosing regimens are warranted also in the pediatric population. In this study, both neonatal and pediatric pharmacokinetic models for vancomycin were externally evaluated and subsequently used to derive model-based dosing algorithms for neonates, infants, and children. For the external validation, predictions from previously published pharmacokinetic models were compared to new data. Simulations were performed in order to evaluate current dosing regimens and to propose a model-based dosing algorithm. The AUC/MIC over 24 h (AUC24/MIC) was evaluated for all investigated dosing schedules (target of >400), without any concentration exceeding 40 mg/liter. Both the neonatal and pediatric models of vancomycin performed well in the external data sets, resulting in concentrations that were predicted correctly and without bias. For neonates, a dosing algorithm based on body weight at birth and postnatal age is proposed, with daily doses divided over three to four doses. For infants aged <1 year, doses between 32 and 60 mg/kg/day over four doses are proposed, while above 1 year of age, 60 mg/kg/day seems appropriate. As the time to reach steady-state concentrations varies from 155 h in preterm infants to 36 h in children aged >1 year, an initial loading dose is proposed. Based on the externally validated neonatal and pediatric vancomycin models, novel dosing algorithms are proposed for neonates and children aged <1 year. For children aged 1 year and older, the currently advised maintenance dose of 60 mg/kg/day seems appropriate.
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Zhao W, Kaguelidou F, Biran V, Zhang D, Allegaert K, Capparelli EV, Holford N, Kimura T, Lo YL, Peris JE, Thomson A, van den Anker JN, Fakhoury M, Jacqz-Aigrain E. External Evaluation of Population Pharmacokinetic Models of Vancomycin in Neonates: The transferability of published models to different clinical settings. Br J Clin Pharmacol 2015; 75:1068-80. [PMID: 23148919 DOI: 10.1111/j.1365-2125.2012.04406.x] [Citation(s) in RCA: 86] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Vancomycin is one of the most evaluated antibiotics in neonates using modeling and simulation approaches. However no clear consensus on optimal dosing has been achieved. The objective of the present study was to perform an external evaluation of published models, in order to test their predictive performances in an independent dataset and to identify the possible study-related factors influencing the transferability of pharmacokinetic models to different clinical settings. METHOD Published neonatal vancomycin pharmacokinetic models were screened from the literature. The predictive performance of 6 models was evaluated using an independent dataset (112 concentrations from 78 neonates). The evaluation procedures used simulation-based diagnostics (visual predictive check [VPC] and normalized prediction distribution errors [NPDE]). RESULTS Differences in predictive performances of models for vancomycin pharmacokinetics in neonates were found. The mean of NPDE for 6 evaluated models were 1.35, -0.22, -0.36, 0.24, 0.66, 0.48, respectively. These differences were explained, at least partly, by taking into account the method used to measure serum creatinine concentrations. The adult conversion factor of 1.3 (enzymatic to Jaffé) was tested with an improvement in the VPC and NPDE, but it still need to be evaluated and validated in neonates. Differences were also identified between analytical methods for vancomycin. CONCLUSION The importance of analytical techniques for serum creatinine concentrations and vancomycin as a predictor of vancomycin concentrations in neonates has been confirmed. Dosage individualisation of vancomycin in neonates should consider not only patients' characteristics and clinical conditions, but also the methods used to measure serum creatinine and vancomycin.
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Affiliation(s)
- Wei Zhao
- Department of Pediatric Pharmacology and Pharmacogenetics, Hôpital Robert Debré, AP-HP, Paris, France; Clinical Investigation Center CIC9202, AP-HP-INSERM, Paris, France
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Prospective Evaluation of a Model-Based Dosing Regimen for Amikacin in Preterm and Term Neonates in Clinical Practice. Antimicrob Agents Chemother 2015; 59:6344-51. [PMID: 26248375 DOI: 10.1128/aac.01157-15] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2015] [Accepted: 07/22/2015] [Indexed: 11/20/2022] Open
Abstract
Based on a previously derived population pharmacokinetic model, a novel neonatal amikacin dosing regimen was developed. The aim of the current study was to prospectively evaluate this dosing regimen. First, early (before and after second dose) therapeutic drug monitoring (TDM) observations were evaluated for achieving target trough (<3 mg/liter) and peak (>24 mg/liter) levels. Second, all observed TDM concentrations were compared with model-predicted concentrations, whereby the results of a normalized prediction distribution error (NPDE) were considered. Subsequently, Monte Carlo simulations were performed. Finally, remaining causes limiting amikacin predictability (i.e., prescription errors and disease characteristics of outliers) were explored. In 579 neonates (median birth body weight, 2,285 [range, 420 to 4,850] g; postnatal age 2 days [range, 1 to 30 days]; gestational age, 34 weeks [range, 24 to 41 weeks]), 90.5% of the observed early peak levels reached 24 mg/liter, and 60.2% of the trough levels were <3 mg/liter (93.4% ≤5 mg/liter). Observations were accurately predicted by the model without bias, which was confirmed by the NPDE. Monte Carlo simulations showed that peak concentrations of >24 mg/liter were reached at steady state in almost all patients. Trough values of <3 mg/liter at steady state were documented in 78% to 100% and 45% to 96% of simulated cases with and without ibuprofen coadministration, respectively; suboptimal trough levels were found in patients with postnatal age <14 days and current weight of >2,000 g. Prospective evaluation of a model-based neonatal amikacin dosing regimen resulted in optimized peak and trough concentrations in almost all patients. Slightly adapted dosing for patient subgroups with suboptimal trough levels was proposed. This model-based approach improves neonatal dosing individualization.
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Abstract
Drug metabolism importantly determines drug concentrations. The efficacy and safety of many drugs prescribed for children are, therefore, dependent on intraindividual and interindividual variation in drug-metabolising enzyme activity. During growth and development, changes in drug-metabolising enzyme activity result in age-related differences in drug disposition, most pronounced in preterm infants and young infants. The shape of the developmental trajectory is unique to the drug-metabolising enzyme involved in the metabolism of individual drugs. Other factors impacting drug metabolism are underlying disease, drug-drug interactions and genetic variation. The interplay of age with these other factors may result in unexpected variation in drug metabolism in children of different ages. Extrapolation of adult data to guide drug dosing in children should be done with caution. The younger the child, the less reliable is the extrapolation. This review aims to identify the primary sources of variability of drug metabolism in children, the knowledge of which can ultimately guide the practitioner towards effective and safe drug therapy.
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Affiliation(s)
- Saskia N de Wildt
- Intensive Care and Department of Pediatric Surgery, Erasmus MC-Sophia Children's Hospital, Rotterdam, The Netherlands
| | - D Tibboel
- Intensive Care and Department of Pediatric Surgery, Erasmus MC-Sophia Children's Hospital, Rotterdam, The Netherlands
| | - J S Leeder
- Department of Pediatrics, Division of Clinical Pharmacology, Toxicology, and Therapeutic Innovation, Children's Mercy Hospital, Kansas City, Missouri, USA
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Remifentanil to relieve pain associated with peripherally inserted central catheters in preterm infants: the new way to go?*. Pediatr Crit Care Med 2014; 15:495-7. [PMID: 24892484 DOI: 10.1097/pcc.0000000000000138] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Admiraal R, van Kesteren C, Boelens JJ, Bredius RGM, Tibboel D, Knibbe CAJ. Towards evidence-based dosing regimens in children on the basis of population pharmacokinetic pharmacodynamic modelling. Arch Dis Child 2014; 99:267-72. [PMID: 24356807 DOI: 10.1136/archdischild-2013-303721] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
When growing up, the pharmacokinetic (PK) and pharmacodynamic (PD) profiles of drugs change, which may alter the effect of drugs. To ensure optimal drug efficacy and safety in paediatric care, PK and PD relationships of drugs need to be explored in children. This article presents an outline on performing a population PK/PD study and translating these results into rational dosing regimens, with the development and prospective evaluation of PK/PD derived evidence-based dosing regimen being discussed. Examples on amikacin, morphine and busulfan are provided, showing how PK(/PD) modelling not only led to optimization and individualization in paediatric clinical care for the specific drugs but also to insight in maturation of organ systems involved. It is shown that the latter results can subsequently be used as a basis for dosing of other drugs eliminated through the same pathway. Ultimately, these efforts should lead to predictable drug efficacy and safety across all age groups.
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Affiliation(s)
- Rick Admiraal
- Department of Paediatric Immunology, University Medical Centre Utrecht, , Utrecht, The Netherlands
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Himebauch AS, Zuppa A. Methods for pharmacokinetic analysis in young children. Expert Opin Drug Metab Toxicol 2014; 10:497-509. [DOI: 10.1517/17425255.2014.885502] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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Krekels EHJ, Tibboel D, de Wildt SN, Ceelie I, Dahan A, van Dijk M, Danhof M, Knibbe CAJ. Evidence-Based Morphine Dosing for Postoperative Neonates and Infants. Clin Pharmacokinet 2014; 53:553-63. [DOI: 10.1007/s40262-014-0135-4] [Citation(s) in RCA: 60] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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A novel maturation function for clearance of the cytochrome P450 3A substrate midazolam from preterm neonates to adults. Clin Pharmacokinet 2014; 52:555-65. [PMID: 23512668 DOI: 10.1007/s40262-013-0050-0] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
BACKGROUND AND OBJECTIVE Major changes in cytochrome P450 (CYP) 3A activity may be expected in the first few months of life with, later, relatively limited changes. In this analysis we studied the maturation of in vivo CYP3A-mediated clearance of midazolam, as model drug, from preterm neonates of 26 weeks gestational age (GA) to adults. METHODS Pharmacokinetic data after intravenous administration of midazolam were obtained from six previously reported studies. Subjects were premature neonates (n = 24; GA 26-33.5 weeks, postnatal age (PNA) 3-11 days, and n = 24; GA 26-37 weeks, PNA 0-1 days), 23 children after elective major craniofacial surgery (age 3-23 months), 18 pediatric intensive-care patients (age 2 days-17 years), 18 pediatric oncology patients (age 3-16 years), and 20 healthy male adults (age 20-31 years). Population pharmacokinetic modeling with systematic covariate analysis was performed by use of NONMEM v6.2. RESULTS Across the entire lifespan from premature neonates to adults, bodyweight was a significant covariate for midazolam clearance. The effect of bodyweight was best described by use of an allometric equation with an exponent changing with bodyweight in an exponential manner from 0.84 for preterm neonates (0.77 kg) to 0.44 for adults (89 kg), showing that the most rapid maturation occurs during the youngest age range. CONCLUSIONS An in-vivo maturation function for midazolam clearance from premature neonates to adults has been developed. This function can be used to derive evidence-based doses for children, and to simulate exposure to midazolam and possibly other CYP3A substrates across the pediatric age range in population pharmacokinetic models or physiologically based pharmacokinetic models.
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Developmental Changes in the Processes Governing Oral Drug Absorption. PEDIATRIC FORMULATIONS 2014. [DOI: 10.1007/978-1-4899-8011-3_3] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
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A neonatal amikacin covariate model can be used to predict ontogeny of other drugs eliminated through glomerular filtration in neonates. Pharm Res 2013; 31:754-67. [PMID: 24065592 DOI: 10.1007/s11095-013-1197-y] [Citation(s) in RCA: 64] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2013] [Accepted: 08/21/2013] [Indexed: 01/11/2023]
Abstract
PURPOSE Recently, a covariate model characterizing developmental changes in clearance of amikacin in neonates has been developed using birth bodyweight and postnatal age. The aim of this study was to evaluate whether this covariate model can be used to predict maturation in clearance of other renally excreted drugs. METHODS Five different neonatal datasets were available on netilmicin, vancomycin, tobramycin and gentamicin. The extensively validated covariate model for amikacin clearance was used to predict clearance of these drugs. In addition, independent reference models were developed based on a systematic covariate analysis. RESULTS The descriptive and predictive properties of the models developed using the amikacin covariate model were good, and fairly similar to the independent reference models (goodness-of-fit plots, NPDE). Moreover, similar clearance values were obtained for both approaches. Finally, the same covariates as in the covariate model of amikacin, i.e. birth bodyweight and postnatal age, were identified on clearance in the independent reference models. CONCLUSIONS This study shows that pediatric covariate models may contain physiological information since information derived from one drug can be used to describe other drugs. This semi-physiological approach may be used to optimize sparse data analysis and to derive individualized dosing algorithms for drugs in children.
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Romero K, Corrigan B, Tornoe CW, Gobburu JV, Danhof M, Gillespie WR, Gastonguay MR, Meibohm B, Derendorf H. Pharmacometrics as a Discipline Is Entering the “Industrialization” Phase: Standards, Automation, Knowledge Sharing, and Training Are Critical for Future Success. J Clin Pharmacol 2013; 50:9S-19S. [DOI: 10.1177/0091270010377788] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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Developmental Changes in the Expression and Function of Cytochrome P450 3A Isoforms: Evidence from In Vitro and In Vivo Investigations. Clin Pharmacokinet 2013; 52:333-45. [DOI: 10.1007/s40262-013-0041-1] [Citation(s) in RCA: 56] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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40
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Predictive Performance of a Busulfan Pharmacokinetic Model in Children and Young Adults. Ther Drug Monit 2012; 34:574-83. [DOI: 10.1097/ftd.0b013e31826051bb] [Citation(s) in RCA: 40] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
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Mooij MG, de Koning BAE, Huijsman ML, de Wildt SN. Ontogeny of oral drug absorption processes in children. Expert Opin Drug Metab Toxicol 2012; 8:1293-303. [PMID: 22686526 DOI: 10.1517/17425255.2012.698261] [Citation(s) in RCA: 60] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
INTRODUCTION A large proportion of prescribed drugs to children are administered orally. Age-related change in factors affecting oral absorption can have consequences for drug dosing. AREAS COVERED For each process affecting oral drug absorption, a systematic search has been performed using Medline to identify relevant articles (from inception till February 2012) in humans. This review presents the findings on age-related changes of the following processes affecting oral drug absorption: gastric pH, gastrointestinal motility, bile salts, pancreatic function, intestinal pH, intestinal drug-metabolizing enzymes and transporter proteins. EXPERT OPINION Clinicians should bear in mind the ontogeny of oral drug absorption processes when prescribing oral drugs to children. The authors' review shows large information gaps on almost all drug absorption processes. It is important that more knowledge is acquired on intestinal transit time, intestinal pH and the ontogeny of intestinal drug-metabolizing enzymes and drug transporter proteins. Furthermore, the ultimate goal in this field should be to predict more precisely the oral disposition of drugs in children across the entire pediatric age range.
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Affiliation(s)
- Miriam G Mooij
- Erasmus MC-Sophia Children's Hospital, Department of Pediatric Surgery and Intensive Care, Rotterdam, The Netherlands
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de Wildt SN. Profound changes in drug metabolism enzymes and possible effects on drug therapy in neonates and children. Expert Opin Drug Metab Toxicol 2011; 7:935-48. [PMID: 21548840 DOI: 10.1517/17425255.2011.577739] [Citation(s) in RCA: 55] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
INTRODUCTION There are profound changes that take place in drug metabolism enzymes during fetal and postnatal development. These changes may significantly impact drug therapy in children. AREAS COVERED A combination of focused and comprehensive literature searches using PubMed and reference lists (from inception to 7 November 2009) is undertaken to identify reports on in vitro and in vivo development of drug metabolism enzymes as well disposition of selected drugs and their effect in children. The article provides an update on development of drug metabolism enzymes and their impact on drug substrate disposition and disease, which may aid to improve clinical practice and optimally design clinical trials in children. EXPERT OPINION Drug metabolism enzyme activity changes profoundly throughout the continuum of postnatal development and often results in different disposition pathways than in adults. Genetics and co-morbidity interact significantly with these developmental changes. Translation of existing knowledge into age-adjusted dosing guidelines and clinical trial design is highly needed for there to be an improvement in drug therapy in children.
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Affiliation(s)
- Saskia N de Wildt
- Erasmus MC Sophia Children's Hospital, Pediatric Surgery & Intensive Care, GJ Rotterdam, The Netherlands.
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De Cock RFW, Piana C, Krekels EHJ, Danhof M, Allegaert K, Knibbe CAJ. The role of population PK-PD modelling in paediatric clinical research. Eur J Clin Pharmacol 2011; 67 Suppl 1:5-16. [PMID: 20340012 PMCID: PMC3082690 DOI: 10.1007/s00228-009-0782-9] [Citation(s) in RCA: 162] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2009] [Accepted: 12/22/2009] [Indexed: 12/11/2022]
Abstract
Children differ from adults in their response to drugs. While this may be the result of changes in dose exposure (pharmacokinetics [PK]) and/or exposure response (pharmacodynamics [PD]) relationships, the magnitude of these changes may not be solely reflected by differences in body weight. As a consequence, dosing recommendations empirically derived from adults dosing regimens using linear extrapolations based on body weight, can result in therapeutic failure, occurrence of adverse effect or even fatalities. In order to define rational, patient-tailored dosing schemes, population PK-PD studies in children are needed. For the analysis of the data, population modelling using non-linear mixed effect modelling is the preferred tool since this approach allows for the analysis of sparse and unbalanced datasets. Additionally, it permits the exploration of the influence of different covariates such as body weight and age to explain the variability in drug response. Finally, using this approach, these PK-PD studies can be designed in the most efficient manner in order to obtain the maximum information on the PK-PD parameters with the highest precision. Once a population PK-PD model is developed, internal and external validations should be performed. If the model performs well in these validation procedures, model simulations can be used to define a dosing regimen, which in turn needs to be tested and challenged in a prospective clinical trial. This methodology will improve the efficacy/safety balance of dosing guidelines, which will be of benefit to the individual child.
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Affiliation(s)
- Roosmarijn F. W. De Cock
- Division of Pharmacology, Leiden/Amsterdam Centre for Drug Research, Leiden University, Leiden, The Netherlands
| | - Chiara Piana
- Division of Pharmacology, Leiden/Amsterdam Centre for Drug Research, Leiden University, Leiden, The Netherlands
| | - Elke H. J. Krekels
- Division of Pharmacology, Leiden/Amsterdam Centre for Drug Research, Leiden University, Leiden, The Netherlands
- Department of Pediatric Intensive Care, Erasmus MC-Sophia Children’s Hospital, Rotterdam, The Netherlands
| | - Meindert Danhof
- Division of Pharmacology, Leiden/Amsterdam Centre for Drug Research, Leiden University, Leiden, The Netherlands
| | - Karel Allegaert
- Neonatal Intensive Care Unit, University Hospital Leuven, Leuven, Belgium
| | - Catherijne A. J. Knibbe
- Division of Pharmacology, Leiden/Amsterdam Centre for Drug Research, Leiden University, Leiden, The Netherlands
- Department of Pediatric Intensive Care, Erasmus MC-Sophia Children’s Hospital, Rotterdam, The Netherlands
- Department of Clinical Pharmacy, St. Antonius Hospital, P.O. Box 2500, 3430 EM Nieuwegein, The Netherlands
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Individualized dosing regimens in children based on population PKPD modelling: are we ready for it? Int J Pharm 2011; 415:9-14. [PMID: 21376791 DOI: 10.1016/j.ijpharm.2011.02.056] [Citation(s) in RCA: 45] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2010] [Revised: 02/23/2011] [Accepted: 02/25/2011] [Indexed: 12/20/2022]
Abstract
Despite profound differences in response between children and adults, and between children of different ages, drugs are still empirically dosed in mg/kg in children. Since maturation of expression and function is typically a non-linear dynamic process which differs between biotransformation routes and pharmacological targets, paediatric dosing regimens should be based on the changing pharmacokinetic-pharmacodynamic (PKPD) relationship in children. In this respect, the population approach is essential, allowing for sparse sampling in each individual child. An example is presented on morphine glucuronidation, for which two covariates were identified and subsequently used to derive a model-based dosing algorithm for a prospective clinical trial in children. Using this novel dosing algorithm, similar morphine concentrations are expected while, depending on age, lower and higher morphine dosages are administered compared to mg/kg/h dosing. As the covariate functions may reflect system-specific information on the maturation of a specific drug-disposition pathway, its use for other drugs that share the same pathway is explored. For this purpose, prospective clinical trials and cross-validation studies are urgently needed. In conclusion, PKPD modelling and simulation studies are important to develop evidence-based and individualized dosing schemes for children, with the ultimate goal to improve drug safety and efficacy in this population.
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Abstract
Conducting clinical pharmacology research studies in pediatric patients is challenging because of ethical and practical constraints but necessary to ensure that drugs are used safely and effectively in this population. Developments in laboratory analytical techniques, such as improved assay sensitivity and the use of alternative sample matrices, can reduce blood loss and offer less invasive blood sampling, causing less trauma to the patient and fewer ethical concerns. Recent advances in data analysis techniques, which aim to extract the maximum amount of useful information from small sample numbers, should be considered when planning a clinical trial and incorporated into the study design. Using 'population' methodology allows a more flexible sampling strategy that enables valuable data to be collected in the course of routine clinical practice, rather than in a rigid, and potentially artificial, setting. Integration of pharmacokinetics and pharmacodynamics and the application of physiological approaches and simulation techniques to the analysis and interpretation of drug concentration and effect data offer new opportunities that have particular relevance to pharmacological research in the field of pediatric anesthetics.
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Affiliation(s)
- Alison H Thomson
- Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow, UK.
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Bellanti F, Della Pasqua O. Modelling and simulation as research tools in paediatric drug development. Eur J Clin Pharmacol 2011; 67 Suppl 1:75-86. [PMID: 21246352 PMCID: PMC3082698 DOI: 10.1007/s00228-010-0974-3] [Citation(s) in RCA: 73] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2010] [Accepted: 12/02/2010] [Indexed: 12/26/2022]
Abstract
Purpose Although practical and ethical constraints impose special requirements for the evaluation of treatment safety and efficacy in children, the main issue remains the empirical basis for patient stratification and dose selection at the early stage of the development of new chemical and biological entities. The aim of this review is to highlight the advantages and limitations of modelling and simulation (M&S) in supporting decision making during paediatric drug development. Methods A literature search on Pubmed’s database Medical Subject Headings (MeSH) has been performed to retrieve relevant publications on the use of model-based approaches in paediatric drug development and therapeutics. Results M&S enable the assessment of the impact of different regimens as well as of different populations on a drug’s safety and efficacy profile. It has been widely used in the last two decades to support pre-clinical and early clinical drug development. In fact, M&S have been applied to drug development as decision tools, as study optimization tools and as data analysis tools. In particular, this approach can be used to support dose adjustment in specific subgroups of a population. M&S may therefore allow the individualisation of drug therapy in children, improving the risk–benefit ratio in this population. Conclusions The lack of consensus on how to assess the impact of developmental factors on pharmacokinetics, pharmacodynamics, efficacy and safety has so far prevented a broader use of M&S. This problem is compounded by the limited collaboration between stakeholders, which prevents data sharing in this field. In this article, we emphasise the need for a concerted effort to promote the effective use of this technology in paediatric drug development and avoid unnecessary exposure of children to clinical trials.
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Affiliation(s)
- Francesco Bellanti
- Division of Pharmacology, Leiden/Amsterdam Center for Drug Research, Leiden, The Netherlands
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Abstract
Therapeutic drug monitoring (TDM) is central to optimize drug efficacy in children, because the pharmacokinetics and pharmacodynamics of most drugs differ greatly between children and adults. Many factors should be analyzed to implement TDM in the pediatric population, including a validated pharmacological parameter and an analytical method adapted to children as limited sampling volumes and high sensitivity are required. The use of population approaches, new analytical methods such as saliva and dried blood spots, and pharmacodynamic monitoring give attractive options to improve TDM, individualize therapy in order to optimize efficacy and reduce adverse drug reactions.
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Affiliation(s)
- Wei Zhao
- Department of Pediatric Pharmacology and Pharmacogenetics, Clinical Investigation Center, CIC Inserm 9202, French network of Pediatric Investigation Centers, Hôpital Robert Debré, 48 Boulevard Sérurier, 75935 Paris, France
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Taguchi M, Ichida F, Hirono K, Miyawaki T, Yoshimura N, Nakamura T, Akita C, Nakayama T, Saji T, Kato Y, Horiuchi I, Hashimoto Y. Pharmacokinetics of Bosentan in Routinely Treated Japanese Pediatric Patients with Pulmonary Arterial Hypertension. Drug Metab Pharmacokinet 2011; 26:280-7. [DOI: 10.2133/dmpk.dmpk-10-rg-113] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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49
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Abstract
Pediatric pharmacokinetic studies require sampling of biofluids from neonates and children. Limitations on sampling frequency and sample volume complicate the design of these studies. In addition, strict guidelines, designed to guarantee patient safety, are in place. This chapter describes the practical implications of sample collection and their storage, with special focus on the selection of the appropriate type of biofluid and withdrawal technique. In addition, we describe appropriate measures for storage of these specimens, for example, in the context of biobanking, and the requirements on drug assay methods that they pose. Pharmacokinetic studies in children are possible, but they require careful selection of an appropriate sampling method, specimen volume, and assay method. The checklist provided could help prospective researchers with the design of an appropriate study protocol and infrastructure.
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Affiliation(s)
- Maurice J Ahsman
- Department of Clinical Pharmacy, Erasmus MC, Rotterdam, The Netherlands
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Knibbe CAJ, Krekels EHJ, Danhof M. Advances in paediatric pharmacokinetics. Expert Opin Drug Metab Toxicol 2010; 7:1-8. [DOI: 10.1517/17425255.2011.539201] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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