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Buchanan AM, Bekker A, Chandasana H, DeMasi R, Lulic Z, Ernest T, Brothers C, Min S, Ruel T, Tan LK. Advancing research and development of anti-infectives for children with a focus on antiretroviral therapy: A clinical development perspective. Int J Antimicrob Agents 2024; 64:107306. [PMID: 39146996 DOI: 10.1016/j.ijantimicag.2024.107306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 06/17/2024] [Accepted: 08/06/2024] [Indexed: 08/17/2024]
Abstract
The HIV treatment landscape for adults has progressed dramatically in recent decades; however, paediatric populations continue to experience delayed and limited access to effective and safe antiretroviral therapy options. Despite current incentive programmes, formulation research and development and approved drug dosing for children have been limited, particularly for neonates (aged <4 wk). Regulatory approval of drug formulations and dosing in children may lag behind adult approvals by years. Formulation and trial design adjustments complicate paediatric drug development, all of which are vital to accommodate for physiological differences, organ maturation, and rapid weight gain, which are most significant in the youngest children. To facilitate more rapid anti-infective drug development for paediatric populations, regulatory agencies provide guidelines that include extrapolating efficacy and safety data from relevant populations; using pharmacokinetic (PK) bridging and modelling to reduce sample sizes and limit the number of PK studies needed before efficacy analyses; and enrolling age- or weight-based cohorts in parallel rather than sequentially for clinical trials. Ensuring access to approved drugs poses an additional challenge, as uncertainty in demand leads to manufacturing and supply complexity with potentially higher costs that can be a barrier to uptake. Here we summarise challenges in drug development for children living with HIV, which are not unique to antiretrovirals. We aim to propose strategies for how model-based approaches and global partnerships can overcome some of these barriers to accelerate paediatric drug development, with particular reference to HIV, and how lessons learnt from HIV could be extended to other anti-infectives.
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Affiliation(s)
| | - Adrie Bekker
- Department of Paediatrics and Child Health, Stellenbosch University, Cape Town, South Africa
| | | | | | | | | | | | | | - Theodore Ruel
- Division of Pediatric Infectious Diseases and Global Health, Department of Pediatrics, University of California, San Francisco, CA, USA
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Wu YE, Zheng YY, Li QY, Yao BF, Cao J, Liu HX, Hao GX, van den Anker J, Zheng Y, Zhao W. Model-informed drug development in pediatric, pregnancy and geriatric drug development: States of the art and future. Adv Drug Deliv Rev 2024; 211:115364. [PMID: 38936664 DOI: 10.1016/j.addr.2024.115364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 06/09/2024] [Accepted: 06/19/2024] [Indexed: 06/29/2024]
Abstract
The challenges of drug development in pediatric, pregnant and geriatric populations are a worldwide concern shared by regulatory authorities, pharmaceutical companies, and healthcare professionals. Model-informed drug development (MIDD) can integrate and quantify real-world data of physiology, pharmacology, and disease processes by using modeling and simulation techniques to facilitate decision-making in drug development. In this article, we reviewed current MIDD policy updates, reflected on the integrity of physiological data used for MIDD and the effects of physiological changes on the drug PK, as well as summarized current MIDD strategies and applications, so as to present the state of the art of MIDD in pediatric, pregnant and geriatric populations. Some considerations are put forth for the future improvements of MIDD including refining regulatory considerations, improving the integrity of physiological data, applying the emerging technologies, and exploring the application of MIDD in new therapies like gene therapies for special populations.
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Affiliation(s)
- Yue-E Wu
- Department of Clinical Pharmacy, Institute of Clinical Pharmacology, Key Laboratory of Chemical Biology (Ministry of Education), NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Yuan-Yuan Zheng
- Department of Clinical Pharmacy, Institute of Clinical Pharmacology, Key Laboratory of Chemical Biology (Ministry of Education), NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Qiu-Yue Li
- Department of Clinical Pharmacy, Institute of Clinical Pharmacology, Key Laboratory of Chemical Biology (Ministry of Education), NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Bu-Fan Yao
- Department of Clinical Pharmacy, Institute of Clinical Pharmacology, Key Laboratory of Chemical Biology (Ministry of Education), NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Jing Cao
- Department of Clinical Pharmacy, Institute of Clinical Pharmacology, Key Laboratory of Chemical Biology (Ministry of Education), NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Hui-Xin Liu
- Department of Clinical Pharmacy, Institute of Clinical Pharmacology, Key Laboratory of Chemical Biology (Ministry of Education), NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Guo-Xiang Hao
- Department of Clinical Pharmacy, Institute of Clinical Pharmacology, Key Laboratory of Chemical Biology (Ministry of Education), NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - John van den Anker
- Division of Clinical Pharmacology, Children's National Medical Center, Washington, DC, USA; Departments of Pediatrics, Pharmacology & Physiology, George Washington University, School of Medicine and Health Sciences, Washington, DC, USA; Department of Paediatric Pharmacology and Pharmacometrics, University Children's Hospital Basel, Basel, Switzerland
| | - Yi Zheng
- Department of Clinical Pharmacy, Institute of Clinical Pharmacology, Key Laboratory of Chemical Biology (Ministry of Education), NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Wei Zhao
- Department of Clinical Pharmacy, Institute of Clinical Pharmacology, Key Laboratory of Chemical Biology (Ministry of Education), NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China.
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Grempler R, Ahlberg J, Germovsek E, Gupta P, Li H, Pilvankar M, Sharma A, Stopfer P, Hansel S. Human Dose and Pharmacokinetic Predictions for Biologics at Boehringer Ingelheim: A Retrospective Analysis. Adv Ther 2024; 41:364-378. [PMID: 37971653 DOI: 10.1007/s12325-023-02710-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2023] [Accepted: 10/06/2023] [Indexed: 11/19/2023]
Abstract
INTRODUCTION Accurate predictions of pharmacokinetics and efficacious doses for biologics in humans are critical for selecting appropriate first-in-human starting doses and dose ranges and for estimating clinical material needs and cost of goods. This also impacts clinical feasibility, particularly for subcutaneously administered biologics. METHODS We performed a comprehensive comparison between predicted and observed clearances and doses in humans for a set of 22 biologic drugs developed at Boehringer Ingelheim (BI) over the last 2 decades. The analysis included biologics across three therapeutic areas comprising a wide variety of modalities: mono- and bispecific monoclonal antibodies (mAbs) and nanobodies and a Fab fragment. RESULTS Our analysis showed that observed clearances in humans were within twofold of predicted clearances for 17 out of 20 biologics (85%). Six biologics had uncharacteristically high observed human clearances (range 32-280 mL/h) for their respective molecular classes, impacting their clinical developability. For three molecules, molecular characteristics contributed to the high clearance. Clinically selected doses were within twofold of predicted for 58% of projects. With 42% and 25% of projects selecting clinical doses higher than two- or threefold the predicted value, respectively, the importance of better understanding not only the pharmacokinetic (PK) but also the predictivity of pharmacodynamic models is highlighted. CONCLUSIONS We provide a clinical pharmacology perspective on the commonly accepted twofold range of human clearance predictions as well as the implications of higher than predicted targeted efficacious plasma concentration on clinical development. Finally, an analysis of key success factors for biologics at BI was conducted, which may be relevant for the entire pharmaceutical industry. This is one of the largest retrospective analyses for biologics and provides further evidence that successful predictions of human PK and efficacious dose will be further facilitated by gathering key translational data early in research.
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Affiliation(s)
- Rolf Grempler
- Department of Translational Medicine and Clinical Pharmacology, Boehringer Ingelheim Pharma Inc, 900 Ridgebury Road, Ridgefield, CT, 06877, USA.
| | - Jennifer Ahlberg
- Department of Biotherapeutics Discovery, Boehringer Ingelheim Pharma Inc, Connecticut, USA
| | - Eva Germovsek
- Department of Translational Medicine and Clinical Pharmacology, Boehringer Ingelheim Pharma GmbH & Co.KG, Ingelheim am Rhein, Germany
| | - Priyanka Gupta
- Department of Biotherapeutics Discovery, Boehringer Ingelheim Pharma Inc, Connecticut, USA
| | - Hua Li
- Department of Biotherapeutics Discovery, Boehringer Ingelheim Pharma Inc, Connecticut, USA
| | - Minu Pilvankar
- Department of Biotherapeutics Discovery, Boehringer Ingelheim Pharma Inc, Connecticut, USA
| | - Ashish Sharma
- Department of Translational Medicine and Clinical Pharmacology, Boehringer Ingelheim Pharma Inc, 900 Ridgebury Road, Ridgefield, CT, 06877, USA
| | - Peter Stopfer
- Department of Translational Medicine and Clinical Pharmacology, Boehringer Ingelheim Pharma GmbH & Co.KG, Biberach an der Riss, Germany
| | - Steven Hansel
- Department of Biotherapeutics Discovery, Boehringer Ingelheim Pharma Inc, Connecticut, USA
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Taylor ZL, Poweleit EA, Paice K, Somers KM, Pavia K, Vinks AA, Punt N, Mizuno T, Girdwood ST. Tutorial on model selection and validation of model input into precision dosing software for model-informed precision dosing. CPT Pharmacometrics Syst Pharmacol 2023; 12:1827-1845. [PMID: 37771190 PMCID: PMC10725261 DOI: 10.1002/psp4.13056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2023] [Revised: 09/18/2023] [Accepted: 09/19/2023] [Indexed: 09/30/2023] Open
Abstract
There has been rising interest in using model-informed precision dosing to provide personalized medicine to patients at the bedside. This methodology utilizes population pharmacokinetic models, measured drug concentrations from individual patients, pharmacodynamic biomarkers, and Bayesian estimation to estimate pharmacokinetic parameters and predict concentration-time profiles in individual patients. Using these individualized parameter estimates and simulated drug exposure, dosing recommendations can be generated to maximize target attainment to improve beneficial effect and minimize toxicity. However, the accuracy of the output from this evaluation is highly dependent on the population pharmacokinetic model selected. This tutorial provides a comprehensive approach to evaluating, selecting, and validating a model for input and implementation into a model-informed precision dosing program. A step-by-step outline to validate successful implementation into a precision dosing tool is described using the clinical software platforms Edsim++ and MwPharm++ as examples.
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Affiliation(s)
- Zachary L. Taylor
- Division of Clinical PharmacologyCincinnati Children's Hospital Medical CenterCincinnatiOhioUSA
- Department of PediatricsUniversity of Cincinnati College of MedicineCincinnatiOhioUSA
| | - Ethan A. Poweleit
- Division of Clinical PharmacologyCincinnati Children's Hospital Medical CenterCincinnatiOhioUSA
- Department of Biomedical InformaticsUniversity of Cincinnati College of MedicineCincinnatiOhioUSA
- Division of Biomedical InformaticsCincinnati Children's Hospital Medical CenterCincinnatiOhioUSA
- Division of Research in Patient ServicesCincinnati Children's Hospital Medical CenterCincinnatiOhioUSA
| | - Kelli Paice
- Division of Clinical PharmacologyCincinnati Children's Hospital Medical CenterCincinnatiOhioUSA
- Division of Critical Care Medicine, Department of PediatricsCincinnati Children's Hospital Medical CenterCincinnatiOhioUSA
| | - Katherine M. Somers
- Division of Clinical PharmacologyCincinnati Children's Hospital Medical CenterCincinnatiOhioUSA
- Division of Critical Care Medicine, Department of PediatricsCincinnati Children's Hospital Medical CenterCincinnatiOhioUSA
- Division of Hematology and Oncology, Department of PediatricsCincinnati Children's Hospital Medical CenterCincinnatiOhioUSA
| | - Kathryn Pavia
- Division of Clinical PharmacologyCincinnati Children's Hospital Medical CenterCincinnatiOhioUSA
- Division of Critical Care Medicine, Department of PediatricsCincinnati Children's Hospital Medical CenterCincinnatiOhioUSA
| | - Alexander A. Vinks
- Division of Clinical PharmacologyCincinnati Children's Hospital Medical CenterCincinnatiOhioUSA
- Department of PediatricsUniversity of Cincinnati College of MedicineCincinnatiOhioUSA
- Division of Research in Patient ServicesCincinnati Children's Hospital Medical CenterCincinnatiOhioUSA
| | - Nieko Punt
- Department of Clinical Pharmacy and Pharmacology, University of GroningenUniversity Medical Center GroningenGroningenThe Netherlands
- MedimaticsMaastrichtThe Netherlands
| | - Tomoyuki Mizuno
- Division of Clinical PharmacologyCincinnati Children's Hospital Medical CenterCincinnatiOhioUSA
- Department of PediatricsUniversity of Cincinnati College of MedicineCincinnatiOhioUSA
| | - Sonya Tang Girdwood
- Division of Clinical PharmacologyCincinnati Children's Hospital Medical CenterCincinnatiOhioUSA
- Department of PediatricsUniversity of Cincinnati College of MedicineCincinnatiOhioUSA
- Division of Hospital Medicine, Department of PediatricsCincinnati Children's Hospital Medical CenterCincinnatiOhioUSA
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Domingues C, Jarak I, Veiga F, Dourado M, Figueiras A. Pediatric Drug Development: Reviewing Challenges and Opportunities by Tracking Innovative Therapies. Pharmaceutics 2023; 15:2431. [PMID: 37896191 PMCID: PMC10610377 DOI: 10.3390/pharmaceutics15102431] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 09/16/2023] [Accepted: 09/25/2023] [Indexed: 10/29/2023] Open
Abstract
The paradigm of pediatric drug development has been evolving in a "carrot-and-stick"-based tactic to address population-specific issues. However, the off-label prescription of adult medicines to pediatric patients remains a feature of clinical practice, which may compromise the age-appropriate evaluation of treatments. Therefore, the United States and the European Pediatric Formulation Initiative have recommended applying nanotechnology-based delivery systems to tackle some of these challenges, particularly applying inorganic, polymeric, and lipid-based nanoparticles. Connected with these, advanced therapy medicinal products (ATMPs) have also been highlighted, with optimistic perspectives for the pediatric population. Despite the results achieved using these innovative therapies, a workforce that congregates pediatric patients and/or caregivers, healthcare stakeholders, drug developers, and physicians continues to be of utmost relevance to promote standardized guidelines for pediatric drug development, enabling a fast lab-to-clinical translation. Therefore, taking into consideration the significance of this topic, this work aims to compile the current landscape of pediatric drug development by (1) outlining the historic regulatory panorama, (2) summarizing the challenges in the development of pediatric drug formulation, and (3) delineating the advantages/disadvantages of using innovative approaches, such as nanomedicines and ATMPs in pediatrics. Moreover, some attention will be given to the role of pharmaceutical technologists and developers in conceiving pediatric medicines.
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Affiliation(s)
- Cátia Domingues
- Univ Coimbra, Laboratory of Drug Development and Technologies, Faculty of Pharmacy, 3000-548 Coimbra, Portugal; (C.D.); (I.J.); (F.V.)
- LAQV-REQUIMTE, Laboratory of Drug Development and Technologies, Faculty of Pharmacy, University of Coimbra, 3000-548 Coimbra, Portugal
- Univ Coimbra, Institute for Clinical and Biomedical Research (iCBR) Area of Environment Genetics and Oncobiology (CIMAGO), Faculty of Medicine, 3000-548 Coimbra, Portugal;
| | - Ivana Jarak
- Univ Coimbra, Laboratory of Drug Development and Technologies, Faculty of Pharmacy, 3000-548 Coimbra, Portugal; (C.D.); (I.J.); (F.V.)
- Institute for Health Research and Innovation (i3s), University of Porto, 4200-135 Porto, Portugal
| | - Francisco Veiga
- Univ Coimbra, Laboratory of Drug Development and Technologies, Faculty of Pharmacy, 3000-548 Coimbra, Portugal; (C.D.); (I.J.); (F.V.)
- LAQV-REQUIMTE, Laboratory of Drug Development and Technologies, Faculty of Pharmacy, University of Coimbra, 3000-548 Coimbra, Portugal
| | - Marília Dourado
- Univ Coimbra, Institute for Clinical and Biomedical Research (iCBR) Area of Environment Genetics and Oncobiology (CIMAGO), Faculty of Medicine, 3000-548 Coimbra, Portugal;
- Univ Coimbra, Center for Health Studies and Research of the University of Coimbra (CEISUC), Faculty of Medicine, 3000-548 Coimbra, Portugal
- Univ Coimbra, Center for Studies and Development of Continuous and Palliative Care (CEDCCP), Faculty of Medicine, 3000-548 Coimbra, Portugal
| | - Ana Figueiras
- Univ Coimbra, Laboratory of Drug Development and Technologies, Faculty of Pharmacy, 3000-548 Coimbra, Portugal; (C.D.); (I.J.); (F.V.)
- LAQV-REQUIMTE, Laboratory of Drug Development and Technologies, Faculty of Pharmacy, University of Coimbra, 3000-548 Coimbra, Portugal
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Bardol M, Pan S, Walker SM, Standing JF, Dawes JM. Pharmacokinetic pharmacodynamic modeling of analgesics and sedatives in children. Paediatr Anaesth 2023; 33:781-792. [PMID: 37341161 PMCID: PMC10947261 DOI: 10.1111/pan.14712] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 05/18/2023] [Accepted: 05/21/2023] [Indexed: 06/22/2023]
Abstract
Pharmacokinetic pharmacodynamic modeling is an important tool which uses statistical methodology to provide a better understanding of the relationship between concentration and effect of drugs such as analgesics and sedatives. Pharmacokinetic pharmacodynamic models also describe between-subject variability that allows identification of subgroups and dose adjustment for optimal pain management in individual patients. This approach is particularly useful in the pediatric population, where most drugs have received limited evaluation and dosing is extrapolated from adult practice. In children, the covariates of weight and age are used to describe size- and maturation-related changes in pharmacokinetics. It is important to consider both size and maturation in order to develop an accurate model and determine the optimal dose for different age groups. An adequate assessment of analgesic and sedative effect using pain scales or brain activity measures is essential to build reliable pharmacokinetic pharmacodynamic models. This is often challenging in children due to the multidimensional nature of pain and the limited sensitivity and specificity of some measurement tools. This review provides a summary of the pharmacokinetic and pharmacodynamic methodology used to describe the dose-concentration-effect relationship of analgesics and sedation in children, with a focus on the different pharmacodynamic endpoints and the challenges of pharmacodynamic modeling.
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Affiliation(s)
- Maddlie Bardol
- Infection, Immunity and Inflammation, Great Ormond Street Institute of Child HealthUniversity College LondonLondonUK
| | - Shan Pan
- Infection, Immunity and Inflammation, Great Ormond Street Institute of Child HealthUniversity College LondonLondonUK
| | - Suellen M. Walker
- Department of Anaesthesia and Pain MedicineGreat Ormond St Hospital NHS Foundation TrustLondonUK
- Developmental Neurosciences Program, UCL Great Ormond St Institute of Child HealthUniversity College LondonLondonUK
| | - Joseph F. Standing
- Infection, Immunity and Inflammation, Great Ormond Street Institute of Child HealthUniversity College LondonLondonUK
- Department of PharmacyGreat Ormond St Hospital NHS Foundation TrustLondonUK
| | - Joy M. Dawes
- Infection, Immunity and Inflammation, Great Ormond Street Institute of Child HealthUniversity College LondonLondonUK
- Department of Anaesthesia and Pain MedicineGreat Ormond St Hospital NHS Foundation TrustLondonUK
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Barker CIS, Kipper K, Lonsdale DO, Wright K, Thompson G, Kim M, Turner MA, Johnston A, Sharland M, Standing JF. The Neonatal and Paediatric Pharmacokinetics of Antimicrobials study (NAPPA): investigating amoxicillin, benzylpenicillin, flucloxacillin and piperacillin pharmacokinetics from birth to adolescence. J Antimicrob Chemother 2023; 78:2148-2161. [PMID: 37531085 PMCID: PMC10477139 DOI: 10.1093/jac/dkad196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Accepted: 06/09/2023] [Indexed: 08/03/2023] Open
Abstract
BACKGROUND Pharmacokinetic (PK) data underlying paediatric penicillin dosing remain limited, especially in critical care. OBJECTIVES The primary objective of the Neonatal and Paediatric Pharmacokinetics of Antimicrobials study (NAPPA) was to characterize PK profiles of commonly used penicillins using data obtained during routine care, to further understanding of PK variability and inform future evidence-based dosing. METHODS NAPPA was a multicentre study of amoxicillin, co-amoxiclav, benzylpenicillin, flucloxacillin and piperacillin/tazobactam. Patients were recruited with informed consent. Antibiotic dosing followed standard of care. PK samples were obtained opportunistically or at optimal times, frozen and analysed using UPLC with tandem MS. Pharmacometric analysis was undertaken using NONMEM software (v7.3). Model-based simulations (n = 10 000) tested PTA with British National Formulary for Children (BNFC) and WHO dosing. The study had ethical approval. RESULTS For the combined IV PK model, 963 PK samples from 370 participants were analysed simultaneously incorporating amoxicillin, benzylpenicillin, flucloxacillin and piperacillin data. BNFC high-dose regimen simulations gave these PTA results (median fT>MIC at breakpoints of specified pathogens): amoxicillin 100% (Streptococcus pneumoniae); benzylpenicillin 100% (Group B Streptococcus); flucloxacillin 48% (MSSA); and piperacillin 100% (Pseudomonas aeruginosa). Oral population PK models for flucloxacillin and amoxicillin enabled estimation of first-order absorption rate constants (1.16 h-1 and 1.3 h-1) and bioavailability terms (62.7% and 58.7%, respectively). CONCLUSIONS NAPPA represents, to our knowledge, the largest prospective combined paediatric penicillin PK study undertaken to date, and the first paediatric flucloxacillin oral PK model. The PTA results provide evidence supportive of BNFC high-dose IV regimens for amoxicillin, benzylpenicillin and piperacillin.
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Affiliation(s)
- Charlotte I S Barker
- Centre for Neonatal and Paediatric Infection, Level 2 Jenner Wing, Institute for Infection and Immunity, St George’s, University of London SW17 0RE, London, UK
- Paediatric Infectious Diseases Department, St George’s University Hospitals NHS Foundation Trust, London, UK
- Infection, Immunity and Inflammation Research & Teaching Department, UCL Great Ormond Street Institute of Child Health, University College London, London, UK
- Department of Medical & Molecular Genetics, King’s College London, London, UK
| | - Karin Kipper
- Centre for Neonatal and Paediatric Infection, Level 2 Jenner Wing, Institute for Infection and Immunity, St George’s, University of London SW17 0RE, London, UK
- Analytical Services International, St George’s, University of London, London, UK
- Analytical Chemistry Department, Epilepsy Society, Chesham Lane, Chalfont St Peter, Buckinghamshire, UK
- Institute of Chemistry, University of Tartu, Tartu, Estonia
| | - Dagan O Lonsdale
- Centre for Neonatal and Paediatric Infection, Level 2 Jenner Wing, Institute for Infection and Immunity, St George’s, University of London SW17 0RE, London, UK
- Paediatric Infectious Diseases Department, St George’s University Hospitals NHS Foundation Trust, London, UK
| | - Kirstie Wright
- Centre for Neonatal and Paediatric Infection, Level 2 Jenner Wing, Institute for Infection and Immunity, St George’s, University of London SW17 0RE, London, UK
| | - Georgina Thompson
- Centre for Neonatal and Paediatric Infection, Level 2 Jenner Wing, Institute for Infection and Immunity, St George’s, University of London SW17 0RE, London, UK
| | - Min Kim
- Centre for Neonatal and Paediatric Infection, Level 2 Jenner Wing, Institute for Infection and Immunity, St George’s, University of London SW17 0RE, London, UK
- Infection, Immunity and Inflammation Research & Teaching Department, UCL Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Mark A Turner
- Department of Women’s and Children’s Health, University of Liverpool, Liverpool Health Partners, Liverpool, UK
| | - Atholl Johnston
- Analytical Services International, St George’s, University of London, London, UK
- Clinical Pharmacology, William Harvey Research Institute, Queen Mary University of London, London, UK
| | - Mike Sharland
- Centre for Neonatal and Paediatric Infection, Level 2 Jenner Wing, Institute for Infection and Immunity, St George’s, University of London SW17 0RE, London, UK
- Paediatric Infectious Diseases Department, St George’s University Hospitals NHS Foundation Trust, London, UK
| | - Joseph F Standing
- Centre for Neonatal and Paediatric Infection, Level 2 Jenner Wing, Institute for Infection and Immunity, St George’s, University of London SW17 0RE, London, UK
- Infection, Immunity and Inflammation Research & Teaching Department, UCL Great Ormond Street Institute of Child Health, University College London, London, UK
- Pharmacy Department, Great Ormond Street Hospital for Children, NHS Foundation Trust, London, UK
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Goulooze SC, Vis PW, Krekels EHJ, Knibbe CAJ. Advances in pharmacokinetic-pharmacodynamic modelling for pediatric drug development: extrapolations and exposure-response analyses. Expert Rev Clin Pharmacol 2023; 16:1201-1209. [PMID: 38069812 DOI: 10.1080/17512433.2023.2288171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Accepted: 11/22/2023] [Indexed: 12/18/2023]
Abstract
INTRODUCTION Pharmacokinetic (PK)-Pharmacodynamic (PD) and exposure-response (E-R) modeling are critical parts of pediatric drug development. By integrating available knowledge and supportive data to support the design of future studies and pediatric dose selection, these techniques increase the efficiency of pediatric drug development and lowers the risk of exposing pediatric study participants to suboptimal or unsafe dose regimens. AREAS COVERED The role of PK, PK-PD and E-R modeling within pediatric drug development and pediatric dose selection is discussed. These models allow investigation of the impact of age and bodyweight on PK and PD in children, despite the often sparse data on the pediatric population. Also discussed is how E-R analyses strengthen the evidence basis to support (full or partial) extrapolation of drug efficacy from adults to children, and between different pediatric age groups. EXPERT OPINION Accelerated pediatric drug development and optimized pediatric dosing guidelines are expected from three future developments: (1) Increased focus on E-R modeling of currently approved drugs in children resulting in (novel) E-R modeling techniques and best practices, (2) increased use of real-world data for E-R (3) increased implementation of available population PK and E-R information in pediatric drug dosing guidelines.
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Affiliation(s)
| | - Peter W Vis
- LAP&P Consultants BV, Leiden, The Netherlands
| | - Elke H J Krekels
- Division of Systems Pharmacology and Pharmacy, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands
| | - Catherijne A J Knibbe
- Division of Systems Pharmacology and Pharmacy, 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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Črček M, Grabnar I, Zdovc JA, Grosek Š, Kos MK. External validation of population pharmacokinetic models of gentamicin in paediatric population from preterm newborns to adolescents. ACTA PHARMACEUTICA (ZAGREB, CROATIA) 2023; 73:175-194. [PMID: 37307377 DOI: 10.2478/acph-2023-0027] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 05/04/2023] [Indexed: 06/14/2023]
Abstract
The aim of this study was to externally validate the predictive performance of published population pharmacokinetic models of gentamicin in all paediatric age groups, from preterm newborns to adolescents. We first selected published population pharmacokinetic models of gentamicin developed in the paediatric population with a wide age range. The parameters of the literature models were then re-estimated using the PRIOR subroutine in NONMEM®. The predictive ability of the literature and the tweaked models was evaluated. Retrospectively collected data from a routine clinical practice (512 concentrations from 308 patients) were used for validation. The models with covariates characterising developmental changes in clearance and volume of distribution had better predictive performance, which improved further after re-estimation. The tweaked model by Wang 2019 performed best, with suitable accuracy and precision across the complete paediatric population. For patients treated in the intensive care unit, a lower proportion of patients would be expected to reach the target trough concentration at standard dosing. The selected model could be used for model-informed precision dosing in clinical settings where the entire paediatric population is treated. However, for use in clinical practice, the next step should include additional analysis of the impact of intensive care treatment on gentamicin pharmacokinetics, followed by prospective validation.
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Affiliation(s)
- Mateja Črček
- 1University of Ljubljana, Faculty of Pharmacy, Department of Biopharmacy and Pharmacokinetics, 1000 Ljubljana Slovenia
| | - Iztok Grabnar
- 1University of Ljubljana, Faculty of Pharmacy, Department of Biopharmacy and Pharmacokinetics, 1000 Ljubljana Slovenia
| | - Jurij Aguiar Zdovc
- 1University of Ljubljana, Faculty of Pharmacy, Department of Biopharmacy and Pharmacokinetics, 1000 Ljubljana Slovenia
| | - Štefan Grosek
- 2University of Ljubljana, Faculty of Medicine, Department of Pediatrics 1000 Ljubljana, Slovenia
- 3University Medical Centre Ljubljana Division of Obstetrics and Gynecology, Department of Perinatology Neonatology Section, 1000 Ljubljana Slovenia
- 4University Medical Centre Ljubljana Division of Paediatrics, Department of Paediatric Intensive Therapy, 1000 Ljubljana, Slovenia
| | - Mojca Kerec Kos
- 1University of Ljubljana, Faculty of Pharmacy, Department of Biopharmacy and Pharmacokinetics, 1000 Ljubljana Slovenia
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10
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Lim A, Sharma P, Stepanov O, Reddy VP. Application of Modelling and Simulation Approaches to Predict Pharmacokinetics of Therapeutic Monoclonal Antibodies in Pediatric Population. Pharmaceutics 2023; 15:pharmaceutics15051552. [PMID: 37242793 DOI: 10.3390/pharmaceutics15051552] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 04/11/2023] [Accepted: 05/17/2023] [Indexed: 05/28/2023] Open
Abstract
Ethical regulations and limited paediatric participants are key challenges that contribute to a median delay of 6 years in paediatric mAb approval. To overcome these barriers, modelling and simulation methodologies have been adopted to design optimized paediatric clinical studies and reduce patient burden. The classical modelling approach in paediatric pharmacokinetic studies for regulatory submissions is to apply body weight-based or body surface area-based allometric scaling to adult PK parameters derived from a popPK model to inform the paediatric dosing regimen. However, this approach is limited in its ability to account for the rapidly changing physiology in paediatrics, especially in younger infants. To overcome this limitation, PBPK modelling, which accounts for the ontogeny of key physiological processes in paediatrics, is emerging as an alternative modelling strategy. While only a few mAb PBPK models have been published, PBPK modelling shows great promise demonstrating a similar prediction accuracy to popPK modelling in an Infliximab paediatric case study. To facilitate future PBPK studies, this review consolidated comprehensive data on the ontogeny of key physiological processes in paediatric mAb disposition. To conclude, this review discussed different use-cases for pop-PK and PBPK modelling and how they can complement each other to increase confidence in pharmacokinetic predictions.
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Affiliation(s)
- Andrew Lim
- Clinical Pharmacology and Pharmacometrics, Biopharmaceuticals R&D, AstraZeneca, Cambridge CB2 8PA, UK
- Faculty of Medicine, Imperial College London, London SW7 2AZ, UK
| | - Pradeep Sharma
- Clinical Pharmacology and Pharmacometrics, Biopharmaceuticals R&D, AstraZeneca, Cambridge CB2 8PA, UK
| | - Oleg Stepanov
- Clinical Pharmacology and Pharmacometrics, Biopharmaceuticals R&D, AstraZeneca, Cambridge CB2 8PA, UK
| | - Venkatesh Pilla Reddy
- Clinical Pharmacology and Pharmacometrics, Biopharmaceuticals R&D, AstraZeneca, Cambridge CB2 8PA, UK
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11
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Michelet R, Bindellini D, Melin J, Neumann U, Blankenstein O, Huisinga W, Johnson TN, Whitaker MJ, Ross R, Kloft C. Insights in the maturational processes influencing hydrocortisone pharmacokinetics in congenital adrenal hyperplasia patients using a middle-out approach. Front Pharmacol 2023; 13:1090554. [PMID: 36712688 PMCID: PMC9877293 DOI: 10.3389/fphar.2022.1090554] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2022] [Accepted: 12/23/2022] [Indexed: 01/15/2023] Open
Abstract
Introduction: Hydrocortisone is the standard of care in cortisol replacement therapy for congenital adrenal hyperplasia patients. Challenges in mimicking cortisol circadian rhythm and dosing individualization can be overcome by the support of mathematical modelling. Previously, a non-linear mixed-effects (NLME) model was developed based on clinical hydrocortisone pharmacokinetic (PK) pediatric and adult data. Additionally, a physiologically-based pharmacokinetic (PBPK) model was developed for adults and a pediatric model was obtained using maturation functions for relevant processes. In this work, a middle-out approach was applied. The aim was to investigate whether PBPK-derived maturation functions could provide a better description of hydrocortisone PK inter-individual variability when implemented in the NLME framework, with the goal of providing better individual predictions towards precision dosing at the patient level. Methods: Hydrocortisone PK data from 24 adrenal insufficiency pediatric patients and 30 adult healthy volunteers were used for NLME model development, while the PBPK model and maturation functions of clearance and cortisol binding globulin (CBG) were developed based on previous studies published in the literature. Results: Clearance (CL) estimates from both approaches were similar for children older than 1 year (CL/F increasing from around 150 L/h to 500 L/h), while CBG concentrations differed across the whole age range (CBGNLME stable around 0.5 μM vs. steady increase from 0.35 to 0.8 μM for CBG PBPK). PBPK-derived maturation functions were subsequently included in the NLME model. After inclusion of the maturation functions, none, a part of, or all parameters were re-estimated. However, the inclusion of CL and/or CBG maturation functions in the NLME model did not result in improved model performance for the CL maturation function (ΔOFV > -15.36) and the re-estimation of parameters using the CBG maturation function most often led to unstable models or individual CL prediction bias. Discussion: Three explanations for the observed discrepancies could be postulated, i) non-considered maturation of processes such as absorption or first-pass effect, ii) lack of patients between 1 and 12 months, iii) lack of correction of PBPK CL maturation functions derived from urinary concentration ratio data for the renal function relative to adults. These should be investigated in the future to determine how NLME and PBPK methods can work towards deriving insights into pediatric hydrocortisone PK.
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Affiliation(s)
- Robin Michelet
- Department of Clinical Pharmacy and Biochemistry, Institute of Pharmacy, Freie Universitaet Berlin, Berlin, Germany,*Correspondence: Robin Michelet,
| | - Davide Bindellini
- Department of Clinical Pharmacy and Biochemistry, Institute of Pharmacy, Freie Universitaet Berlin, Berlin, Germany,Graduate Research Training Program, Berlin, Germany
| | - Johanna Melin
- Department of Clinical Pharmacy and Biochemistry, Institute of Pharmacy, Freie Universitaet Berlin, Berlin, Germany,Graduate Research Training Program, Berlin, Germany
| | - Uta Neumann
- Clinic for Pediatric Endocrinology and Diabetology, Charité-Universitätsmedizin, Berlin, Germany
| | - Oliver Blankenstein
- Clinic for Pediatric Endocrinology and Diabetology, Charité-Universitätsmedizin, Berlin, Germany
| | | | | | - Martin J. Whitaker
- Department of Oncology and Metabolism, University of Sheffield, Sheffield, United Kingdom
| | - Richard Ross
- Department of Oncology and Metabolism, University of Sheffield, Sheffield, United Kingdom,Diurnal Limited, Cardiff, United Kingdom
| | - Charlotte Kloft
- Department of Clinical Pharmacy and Biochemistry, Institute of Pharmacy, Freie Universitaet Berlin, Berlin, Germany
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12
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Chen Y, Wu X, Tsai C, Chang L, Yu J, Cao G, Guo B, Shi Y, Zhu D, Hu F, Yuan J, Liu Y, Zhao X, Zhang Y, Wu J, Zhang J. Integrative population pharmacokinetic/pharmacodynamic analysis of nemonoxacin capsule in Chinese patients with community-acquired pneumonia. Front Pharmacol 2023; 14:912962. [PMID: 36923351 PMCID: PMC10010492 DOI: 10.3389/fphar.2023.912962] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 02/06/2023] [Indexed: 02/28/2023] Open
Abstract
Introduction: Nemonoxacin is an innovative quinolone antibiotic for treatment of community-acquired pneumonia (CAP). As more data are available from clinical studies, it is necessary to perform an integrative pharmacokinetic/pharmacodynamic (PK/PD) analysis to support and justify the optimal dosing regimen of nemonoxacin in clinical practice. Methods and Results: We developed a population PK model using non-linear mixed effect model based on the data of 195 Chinese subjects receiving nemonoxacin in phase I to III clinical trials. The base model was a standard two-compartment PK model defined by clearance (12 L/h) and central volume of distribution (86 L). Covariates included creatinine clearance (CLcr), body weight (BW), sex, disease status and food. Compared to the subject with BW 60 kg, Cmax and A U C 0 - 24 , ss reduced by 24% and 19% in the subject with BW 80 kg, respectively. Compared to the subject with CLcr 150 ml/min, A U C 0 - 24 , ss and T1/2 increased by 28% and 24%, respectively in the subject with CLcr 30 ml/min. Compared to the fasted status, Tmax of nemonoxacin increased by 1.2 h in the subject with fed status. Effects of sex and disease status on PK parameters were small (change of PK parameters ≤19%). AUC0-24/MIC and %T > MIC were identified as the optimal PK/PD indices for predicting clinical efficacy. The AUC0-24/MIC target was 63.3, 97.8, and 115.7 against Streptococcus pneumoniae, Staphylococcus aureus, and Haemophilus influenzae, respectively. The %T > MIC target was 7.96% against Klebsiella pneumoniae. Monte Carlo simulation showed that treatment with nemonoxacin 500 mg q24 h could attain a PK/PD cutoff value higher than the MIC90 against S. pneumoniae and S. aureus. The corresponding cumulative fraction of response (CFR) was greater than 93%, while nemonoxacin 750 mg q24 h would provide higher PK/PD cutoff value against Haemophilus parainfluenzae, and higher CFR (83%) than 500 mg q24 h. Conclusion: Integrative PK/PD analysis justifies the reliable clinical and microbiological efficacy of nemonoxacin 500 mg q24 h in treating CAP caused by S. pneumoniae, S. aureus, and K. pneumoniae, irrespective of patient sex, mild renal impairment, empty stomach or not. However, nemonoxacin 750 mg q24 h would provide better efficacy than 500 mg q24 h for the CAP caused by H. parainfluenzae in terms of CFR.
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Affiliation(s)
- Yuancheng Chen
- Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, China.,Key Laboratory of Clinical Pharmacology of Antibiotics, National Health Commission, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China.,Phase I Unit, Huashan Hospital, Fudan University, Shanghai, China
| | - Xiaojie Wu
- Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, China.,Key Laboratory of Clinical Pharmacology of Antibiotics, National Health Commission, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China.,Phase I Unit, Huashan Hospital, Fudan University, Shanghai, China
| | - Chengyuan Tsai
- TaiGen Biopharmaceuticals Beijing Co., Ltd., Beijing, China
| | - Liwen Chang
- TaiGen Biopharmaceuticals Beijing Co., Ltd., Beijing, China
| | - Jicheng Yu
- Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, China.,Key Laboratory of Clinical Pharmacology of Antibiotics, National Health Commission, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China.,Phase I Unit, Huashan Hospital, Fudan University, Shanghai, China
| | - Guoying Cao
- Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, China.,Key Laboratory of Clinical Pharmacology of Antibiotics, National Health Commission, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China.,Phase I Unit, Huashan Hospital, Fudan University, Shanghai, China
| | - Beining Guo
- Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, China.,Key Laboratory of Clinical Pharmacology of Antibiotics, National Health Commission, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Yaoguo Shi
- Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, China.,Key Laboratory of Clinical Pharmacology of Antibiotics, National Health Commission, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China.,Phase I Unit, Huashan Hospital, Fudan University, Shanghai, China
| | - Demei Zhu
- Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, China.,Key Laboratory of Clinical Pharmacology of Antibiotics, National Health Commission, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Fupin Hu
- Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, China.,Key Laboratory of Clinical Pharmacology of Antibiotics, National Health Commission, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Jinyi Yuan
- Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Yang Liu
- Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Xu Zhao
- Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Yingyuan Zhang
- Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, China.,Key Laboratory of Clinical Pharmacology of Antibiotics, National Health Commission, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Jufang Wu
- Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, China.,Key Laboratory of Clinical Pharmacology of Antibiotics, National Health Commission, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China.,Phase I Unit, Huashan Hospital, Fudan University, Shanghai, China
| | - Jing Zhang
- Institute of Antibiotics, Huashan Hospital, Fudan University, Shanghai, China.,Key Laboratory of Clinical Pharmacology of Antibiotics, National Health Commission, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China.,Phase I Unit, Huashan Hospital, Fudan University, Shanghai, China
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13
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Pilot Pharmacokinetic Study in Healthy Adults Using Intravascular Microdialysis Catheters Modified for Use in Paediatric Patients to Assess Vancomycin Blood Levels. Clin Pharmacokinet 2023; 62:77-87. [PMID: 36471223 PMCID: PMC9898326 DOI: 10.1007/s40262-022-01190-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/02/2022] [Indexed: 12/12/2022]
Abstract
BACKGROUND AND OBJECTIVE Exhaustive pharmacokinetic (PK) studies in paediatric patients are unavailable for most antibiotics and feasibility of PK studies is limited by challenges, such as low blood volume and venipuncture-related pain. Microdialysis (MD) represents a promising method to overcome these obstacles. The aim of this proof-of-concept study was to develop and validate modified MD catheters that can be used to obtain concentration-time profiles of antibiotics in paediatric patients. METHODS Following extensive in vitro MD experiments, a prospective open-labelled study in ten healthy adult volunteers (HVs) was conducted. Subjects received a single intravenous dose of 1000 mg vancomycin, then plasma and intravascular microdialysate were sampled over 24 h. In vivo MD probe calibration was conducted using the retrodialysis technique. Plasma protein binding was measured using ultrafiltration. Confirmation of the measurements was performed using a Bland-Altman plot, relevant PK parameters were calculated, and a pharmacometric model was established. RESULTS No safety issues were encountered. The concentration-time curves of microdialysate and plasma measurements showed good alignment. The Bland-Altman plot yielded a mean bias of 0.19 mg/L and 95% limits of agreement of - 9.34 to 9.71 mg/L. A two-compartment model best described plasma PK, model-based estimates for recovery of the MD probes being in high agreement with the observed values. Quantified estimates of fraction unbound were comparable between plasma and microdialysate (p = 0.56). CONCLUSIONS An innovative MD catheter that can be inserted into small intravenous lines was successfully developed and applied in HV. This proof-of-concept study is encouraging and opens the way to further experiments leading towards future use of MD in paediatric patients.
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14
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Williams PC, Qazi SA, Agarwal R, Velaphi S, Bielicki JA, Nambiar S, Giaquinto C, Bradley J, Noel GJ, Ellis S, O'Brien S, Balasegaram M, Sharland M. Antibiotics needed to treat multidrug-resistant infections in neonates. Bull World Health Organ 2022; 100:797-807. [PMID: 36466207 PMCID: PMC9706347 DOI: 10.2471/blt.22.288623] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 08/14/2022] [Accepted: 08/20/2022] [Indexed: 12/04/2022] Open
Abstract
Infections remain a leading cause of death in neonates. The sparse antibiotic development pipeline and challenges in conducting neonatal research have resulted in few effective antibiotics being adequately studied to treat multidrug-resistant (MDR) infections in neonates, despite the increasing global mortality burden caused by antimicrobial resistance. Of 40 antibiotics approved for use in adults since 2000, only four have included dosing information for neonates in their labelling. Currently, 43 adult antibiotic clinical trials are recruiting patients, compared with only six trials recruiting neonates. We review the World Health Organization (WHO) priority pathogens list relevant to neonatal sepsis and propose a WHO multiexpert stakeholder meeting to promote the development of a neonatal priority antibiotic development list. The goal is to develop international, interdisciplinary consensus for an accelerated neonatal antibiotic development programme. This programme would enable focused research on identified priority antibiotics for neonates to reduce the excess morbidity and mortality caused by MDR infections in this vulnerable population.
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Affiliation(s)
- Phoebe Cm Williams
- School of Public Health, Faculty of Medicine, Edward Ford Building, The University of Sydney, Camperdown, NSW, 2006, Australia
| | | | - Ramesh Agarwal
- Department of Paediatrics, All India Institute of Medical Sciences, New Delhi, India
| | - Sithembiso Velaphi
- Department of Paediatrics, Chris Hani Baragwanath Academic Hospital, Johannesburg, South Africa
| | - Julia A Bielicki
- Institute of Infection and Immunity, University of London, London, England
| | - Sumathi Nambiar
- Johnson & Johnson, Rockville, United States of America (USA)
| | - Carlo Giaquinto
- Department of Women and Children's Health, University of Padua, Padua, Italy
| | - John Bradley
- Department of Pediatric Infectious Diseases, University of California San Diego School of Medicine, San Diego, USA
| | - Gary J Noel
- Institute for Advanced Clinical Trials for Children, Weill Cornell Medical College, Rockville, USA
| | - Sally Ellis
- Global Antibiotic Research and Development Project, Geneva, Switzerland
| | - Seamus O'Brien
- Global Antibiotic Research and Development Project, Geneva, Switzerland
| | | | - Michael Sharland
- Institute of Infection and Immunity, University of London, London, England
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15
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James L, O'Sullivan BP, Majure M, Lang J, Ounpraseuth S, Hornik C, Baldner J, Garza M, Prior F, Lee JY, Snowden J. Protocol for the Vitamin D Oral Replacement in Asthma (VDORA) study. Contemp Clin Trials 2022; 120:106861. [PMID: 35907490 PMCID: PMC10411523 DOI: 10.1016/j.cct.2022.106861] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 07/01/2022] [Accepted: 07/24/2022] [Indexed: 11/03/2022]
Abstract
Obesity and asthma are epidemic in the United States and obesity is an independent risk factor for asthma. Low vitamin D levels (i.e. serum 25-hydroxyvitamin D) have been reported in patients with reduced lung function, more frequent respiratory infections, and asthma exacerbations. Experts have proposed that serum levels > 40 ng/mL are required to offer the immunomodulatory benefits of vitamin D. Low vitamin D levels are common in both obesity and asthma, but it is not known whether supplementation with vitamin D improves asthma symptoms. Guidance for drug development stresses the importance of early phase studies to establish accurate population pharmacokinetics (PK) and drug dosing prior to larger phase 3 trials. The PK of this fat-soluble vitamin in children with increased adiposity are unknown; as are the doses need to reach proposed immunomodulatory levels. The objective of this study is to characterize the PK of vitamin D in children with obesity. Children ages 6--18 years who had physician diagnosed asthma and a body mass index (BMI) >85th percentile will be randomized to receive either standard daily dosing or loading doses followed by standard daily dosing. Blood samples will be obtained to characterize the PK of vitamin D. The results of this study will be used to identify a sufficient dose of vitamin D supplement to raise serum levels above a pre-specified value that may result in anti-inflammatory actions that could improve asthma symptoms.
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Affiliation(s)
- Laura James
- Arkansas Children's Research Institute and University of Arkansas for Medical Sciences, Little Rock, AR, United States of America; Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR, United States of America.
| | | | - Mark Majure
- University of Mississippi Medical Center, Jackson, MS, United States of America
| | - Jason Lang
- Department of Pediatrics, Duke University School of Medicine, Durham, NC, United States of America
| | | | - Christoph Hornik
- Department of Pediatrics, Duke University School of Medicine, Durham, NC, United States of America
| | - Jamie Baldner
- Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, United States of America
| | - Maryann Garza
- Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, United States of America
| | - Fred Prior
- Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, United States of America
| | | | - Jessica Snowden
- Arkansas Children's Research Institute and University of Arkansas for Medical Sciences, Little Rock, AR, United States of America; Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR, United States of America
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16
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Tikiso T, McIlleron H, Abdelwahab MT, Bekker A, Hesseling A, Chabala C, Davies G, Zar HJ, Rabie H, Andrieux-Meyer I, Lee J, Wiesner L, Cotton MF, Denti P. Population pharmacokinetics of ethambutol in African children: a pooled analysis. J Antimicrob Chemother 2022; 77:1949-1959. [PMID: 35466379 PMCID: PMC9633720 DOI: 10.1093/jac/dkac127] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Accepted: 03/30/2022] [Indexed: 02/15/2024] Open
Abstract
OBJECTIVES Ethambutol protects against the development of resistance to co-administered drugs in the intensive phase of first-line anti-TB treatment in children. It is especially relevant in settings with a high prevalence of HIV or isoniazid resistance. We describe the population pharmacokinetics of ethambutol in children with TB to guide dosing in this population. METHODS We pooled data from 188 intensively sampled children from the DATiC, DNDi and SHINE studies, who received 15-25 mg/kg ethambutol daily according to WHO guidelines. The median (range) age and weight of the cohort were 1.9 (0.3-12.6) years and 9.6 (3.9-34.5) kg, respectively. Children with HIV (HIV+; n = 103) received ART (lopinavir/ritonavir in 92%). RESULTS Ethambutol pharmacokinetics were best described by a two-compartment model with first-order elimination and absorption transit compartments. Clearance was estimated to reach 50% of its mature value by 2 months after birth and 99% by 3 years. Typical steady-state apparent clearance in a 10 kg child was 15.9 L/h. In HIV+ children on lopinavir/ritonavir, bioavailability was reduced by 32% [median (IQR) steady-state Cmax = 0.882 (0.669-1.28) versus 1.66 (1.21-2.15) mg/L). In young children, bioavailability correlated with age. At birth, bioavailability was 73.1% of that in children 3.16 years or older. CONCLUSIONS To obtain exposure within the 2-6 mg/L recommended range for Cmax, the current doses must be doubled (or tripled with HIV+ children on lopinavir/ritonavir) for paediatric patients. This raises concerns regarding the potential for ocular toxicity, which would require evaluation.
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Affiliation(s)
- Tjokosela Tikiso
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Helen McIlleron
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa
- Wellcome Centre for Infectious Diseases Research in Africa (CIDRI-Africa), Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
| | - Mahmoud Tareq Abdelwahab
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Adrie Bekker
- Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Anneke Hesseling
- Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Chishala Chabala
- University of Zambia, School of Medicine and Children’s Hospital, University Teaching Hospitals, Lusaka, Zambia
| | - Geraint Davies
- Malawi-Liverpool-Wellcome Research Unit, Blantyre, Malawi
| | - Heather J Zar
- Department of Paediatrics and Child Health, Red Cross War Memorial Children’s Hospital, Cape Town, South Africa
- SA-MRC Unit on Child & Adolescent Health, University of Cape Town, Cape Town, South Africa
| | - Helena Rabie
- Department of Paediatrics and Child Health and Family Centre for Research with Ubuntu (FAM-CRU), Stellenbosch University, Cape Town, South Africa
- Tygerberg Children’s Hospital, Cape Town, South Africa
| | | | - Janice Lee
- Drugs for Neglected Diseases Initiative, Geneva, Switzerland
| | - Lubbe Wiesner
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Mark F Cotton
- Department of Paediatrics and Child Health and Family Centre for Research with Ubuntu (FAM-CRU), Stellenbosch University, Cape Town, South Africa
- Tygerberg Children’s Hospital, Cape Town, South Africa
| | - Paolo Denti
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa
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17
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Radtke KK, Svensson EM, van der Laan LE, Hesseling AC, Savic RM, Garcia-Prats AJ. Emerging data on rifampicin pharmacokinetics and approaches to optimal dosing in children with tuberculosis. Expert Rev Clin Pharmacol 2022; 15:161-174. [PMID: 35285351 DOI: 10.1080/17512433.2022.2053110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
INTRODUCTION Despite its longstanding role in tuberculosis (TB) treatment, there continues to be emerging rifampicin research that has important implications for pediatric TB treatment and outstanding questions about its pharmacokinetics and optimal dose in children. AREAS COVERED This review aims to summarize and discuss emerging data on the use of rifampicin for: 1) routine treatment of drug-susceptible TB; 2) special subpopulations such as children with malnutrition, HIV, or TB meningitis; 3) treatment shortening. We also highlight the implications of these new data for child-friendly rifampicin formulations and identify future research priorities. EXPERT OPINION New data consistently show low rifampicin exposures across all pediatric populations with 10-20 mg/kg dosing. Although clinical outcomes in children are generally good, rifampicin dose optimization is needed, especially given a continued push to shorten treatment durations and for specific high-risk populations of children who have worse outcomes. A pooled analysis of existing data using applied pharmacometrics would answer many of the important questions remaining about rifampicin pharmacokinetics needed to optimize doses, especially in special populations. Targeted clinical studies in children with TB meningitis and treatment shortening with high-dose rifampicin are also priorities.
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Affiliation(s)
- Kendra K Radtke
- Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
| | - Elin M Svensson
- Department of Pharmacy, Radboud University Medical Center, Nijmegen, The Netherlands.,Department of Pharmacy, Uppsala University, Uppsala, Sweden
| | - Louvina E van der Laan
- Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Stellenbosch University, Tygerberg, South Africa
| | - Anneke C Hesseling
- Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Stellenbosch University, Tygerberg, South Africa
| | - Radojka M Savic
- Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
| | - Anthony J Garcia-Prats
- Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Stellenbosch University, Tygerberg, South Africa.,Department of Pediatrics, University of Wisconsin, Madison, WI, USA
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18
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Gerhart JG, Balevic S, Sinha J, Perrin EM, Wang J, Edginton AN, Gonzalez D. Characterizing Pharmacokinetics in Children With Obesity-Physiological, Drug, Patient, and Methodological Considerations. Front Pharmacol 2022; 13:818726. [PMID: 35359853 PMCID: PMC8960278 DOI: 10.3389/fphar.2022.818726] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Accepted: 01/24/2022] [Indexed: 12/19/2022] Open
Abstract
Childhood obesity is an alarming public health problem. The pediatric obesity rate has quadrupled in the past 30 years, and currently nearly 20% of United States children and 9% of children worldwide are classified as obese. Drug distribution and elimination processes, which determine drug exposure (and thus dosing), can vary significantly between patients with and without obesity. Obesity-related physiological changes, such as increased tissue volume and perfusion, altered blood protein concentrations, and tissue composition can greatly affect a drug's volume of distribution, which might necessitate adjustment in loading doses. Obesity-related changes in the drug eliminating organs, such as altered enzyme activity in the liver and glomerular filtration rate, can affect the rate of drug elimination, which may warrant an adjustment in the maintenance dosing rate. Although weight-based dosing (i.e., in mg/kg) is commonly practiced in pediatrics, choice of the right body size metric (e.g., total body weight, lean body weight, body surface area, etc.) for dosing children with obesity still remains a question. To address this gap, the interplay between obesity-related physiological changes (e.g., altered organ size, composition, and function), and drug-specific properties (e.g., lipophilicity and elimination pathway) needs to be characterized in a quantitative framework. Additionally, methodological considerations, such as adequate sample size and optimal sampling scheme, should also be considered to ensure accurate and precise top-down covariate selection, particularly when designing opportunistic studies in pediatric drug development. Further factors affecting dosing, including existing dosing recommendations, target therapeutic ranges, dose capping, and formulations constraints, are also important to consider when undergoing dose selection for children with obesity. Opportunities to bridge the dosing knowledge gap in children with obesity include modeling and simulating techniques (i.e., population pharmacokinetic and physiologically-based pharmacokinetic [PBPK] modeling), opportunistic clinical data, and real world data. In this review, key considerations related to physiology, drug parameters, patient factors, and methodology that need to be accounted for while studying the influence of obesity on pharmacokinetics in children are highlighted and discussed. Future studies will need to leverage these modeling opportunities to better describe drug exposure in children with obesity as the childhood obesity epidemic continues.
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Affiliation(s)
- Jacqueline G. Gerhart
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Stephen Balevic
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Department of Pediatrics, Duke University Medical Center, Durham, NC, United States
- Duke Clinical Research Institute, Durham, NC, United States
| | - Jaydeep Sinha
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Department of Pediatrics, UNC School of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Eliana M. Perrin
- Department of Pediatrics, Johns Hopkins University Schools of Medicine and School of Nursing, Baltimore, MD, United States
| | - Jian Wang
- Office of Drug Evaluation IV, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, United States
| | | | - Daniel Gonzalez
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
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19
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Pfiffner M, Berger-Olah E, Vonbach P, Pfister M, Gotta V. Pharmacometric Analysis of Intranasal and Intravenous Nalbuphine to Optimize Pain Management in Infants. Front Pediatr 2022; 10:837492. [PMID: 35311056 PMCID: PMC8926166 DOI: 10.3389/fped.2022.837492] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 01/24/2022] [Indexed: 11/13/2022] Open
Abstract
Objectives The objective of this pharmacometric (PMX) study was to (i) characterize population pharmacokinetics (PPK) and exposure-pain response associations following intranasal (0.1 mg/kg) or intravenous (IV, 0.05 mg/kg) administration of nalbuphine, with the goal to (ii) evaluate strategies for optimized dosing and timing of painful interventions in infants 1-3 months old. Methods PPK analysis of nalbuphine serum concentrations, prospectively collected 15, 30, and between 120 and 180 min post-dose, utilizing the software package Monolix. The final PPK model was applied to derive individual time-matched concentration predictions for each pain assessment (Neonatal Infant Pain Score, NIPS) after establishment of venous access and urinary catheterization or lumbar puncture. Drug exposure-pain response simulations were performed to evaluate potential benefits of higher doses with respect to a previously proposed target concentration of 12 mcg/L (efficacy threshold). Results Thirty-eight of 52 study subjects receiving nalbuphine had at least one concentration measurement and were included in the pharmacometric analysis. A two-compartment model with allometric scaling was applied to describe population PK data, with intranasal bioavailability estimated to be 41% (95%CI: 26-56%). Model-based simulations showed that the proposed efficacy threshold (12 mcg/L) is expected to be exceeded with an IV dose of 0.05 mg/kg for 6 min, with 0.1 mg/kg for 30 min and with 0.2 mg/kg for 80 min. This efficacy threshold is not achieved with intranasal doses of 0.1 and 0.2 mg/kg, whereas an intranasal dose of 0.4 mg/kg is expected to exceed such threshold for 30 to 100 min. Conclusion This PMX study confirmed that bioavailability of intranasal nalbuphine is close to 50%. Exposure-pain response simulations indicated that an intranasal dose of 0.4 mg/kg is required to provide a comparable pain control as achieved with an IV dose of 0.1-0.2 mg/kg. The optimal time window for painful procedures appears to be within the first 30 min after IV administration of 0.1 mg/kg nalbuphine, whereas such procedures should be scheduled 30 min after an intranasal dose of 0.4 mg/kg nalbuphine. Additional clinical studies are warranted to confirm these PMX based recommendations and to further optimize pain management in this vulnerable infant population.
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Affiliation(s)
- Miriam Pfiffner
- Hospital Pharmacy, University Children's Hospital Zurich, Zurich, Switzerland
| | - Eva Berger-Olah
- Emergency Unit, University Children's Hospital Zurich, Zurich, Switzerland
| | - Priska Vonbach
- Hospital Pharmacy, University Children's Hospital Zurich, Zurich, Switzerland
- PEDeus, A Subsidiary of the University Children's Hospital Zurich, Zurich, Switzerland
| | - Marc Pfister
- Pediatric Pharmacology and Pharmacometrics Research Center, University Children's Hospital Basel (UKBB), Basel, Switzerland
| | - Verena Gotta
- Pediatric Pharmacology and Pharmacometrics Research Center, University Children's Hospital Basel (UKBB), Basel, Switzerland
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20
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Abstract
A clinical review is presented of basic allometric scaling theory and its application to pharmacokinetic models in anesthesia and other fields in the biologic sciences.
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21
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Yang F, Wu H, Bo Y, Lu Y, Pan H, Li S, Lu Q, Xie S, Liao H, Wang B. Population Pharmacokinetic Modeling and Simulation of TQ-B3101 to Inform Dosing in Pediatric Patients With Solid Tumors. Front Pharmacol 2022; 12:782518. [PMID: 35115931 PMCID: PMC8804354 DOI: 10.3389/fphar.2021.782518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Accepted: 12/14/2021] [Indexed: 11/18/2022] Open
Abstract
Background: TQ-B3101 is a novel kinase inhibitor currently in development for the treatment of advanced malignant solid tumor and relapsed or refractory ALK-positive anaplastic large cell lymphoma. Methods: A population pharmacokinetic model was developed using data collected from a Phase 1 study and a Phase 2 study to characterize the pharmacokinetic of TQ-B3101 and its active metabolite (TQ-B3101M). The final model was used to optimize dosing of TQ-B3101 for pediatric patients (6-<18 years) with anaplastic large cell lymphoma. Results: The pharmacokinetic of TQ-B3101 and TQ-B3101M was adequately described by a 1-compartment model with first-order absorption and elimination for parent drug coupled with a 2-compartment model with time-dependent clearance for the metabolite. The clearance of TQ-B3101M decreased over time with a maximum fractional reduction of 0.41. The estimated apparent clearance and apparent volume of distribution of TQ-B3101 were 2850 L/h and 4200 L, respectively. The elimination half-life of TQ-B3101 was 1.0 h. The distribution and elimination half-lives of TQ-B3101M at steady state were 4.9 and 39.4 h, respectively. The projected exposure of TQ-B3101M in virtual pediatric population following the body surface area tiered dosing regimen was similar to that in children pediatric patients after the recommended pediatric dose of crizotinib (280 mg/m2 twice daily), an analog of TQ-B3101M. Conclusion: A population pharmacokinetic model was developed to provide optimal dose of regimen for further development of TQ-B3101 in pediatric patients with anaplastic large cell lymphoma.
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Affiliation(s)
- Fen Yang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), National Drug Clinical Trial Center, Peking University Cancer Hospital & Institute, Beijing, China
- *Correspondence: Fen Yang,
| | - Huali Wu
- Amador Bioscience, Hangzhou, China
| | - Yunhai Bo
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), National Drug Clinical Trial Center, Peking University Cancer Hospital & Institute, Beijing, China
| | - Ye Lu
- Amador Bioscience, Hangzhou, China
| | - Hong Pan
- Department of Medical Oncology, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Su Li
- Department of Clinical Trial Center, Cancer Center, Sun Yat-Sen University, Guangzhou, China
| | - Qin Lu
- Chia Tai Tianqing Pharmaceutical Group CO., Ltd., Nanjing, China
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22
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Cho YS, Shin JG. Physiologically-based pharmacokinetic modeling of nafamostat to support dose selection for treatment of pediatric patients with COVID-19. Transl Clin Pharmacol 2022; 30:24-36. [PMID: 35419314 PMCID: PMC8979760 DOI: 10.12793/tcp.2022.30.e4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2021] [Revised: 02/14/2022] [Accepted: 02/25/2022] [Indexed: 12/15/2022] Open
Abstract
Pediatric patients with coronavirus disease 2019 (COVID-19) are increasing, and severe cases such as multisystem inflammatory syndrome are being reported. Nafamostat, a repurposing drug, is currently being explored for the treatment of COVID-19 in adults. However, the data supporting its exposure in pediatrics remains scarce. Physiologically-based pharmacokinetic (PBPK) modeling enables the prediction of drug exposure in pediatrics based on ontogeny of metabolic enzymes and age dependent anatomical and physiological changes. The study aimed to establish a PBPK model of nafamostat in adults, then scale the adult PBPK model to children for predicting pediatric exposures of nafamostat and an optimal weight-based nafamostat dose in pediatric population. The developed model adequately described adult exposure data in healthy volunteers following i.v. administration with three doses (10, 20, and 40 mg). Scaling adult PBPK models to five pediatric groups predicted that as age advances from neonate to adult, the exposure of nafamostat slightly increased from neonate to infant, steadily decreased from infant to child, and then increased from child to adult after the administration of 0.2 mg/kg/h for 14 days, a dosing regimen being conducted in a clinical trial for COVID-19. Based on the fold change of predicted area under the curve for the respective pediatric group over those of adults, weight-based dosages for each pediatric group may be suggested. The novel PBPK model described in this study may be useful to investigate nafamostat pharmacokinetics in a pediatric subgroup further.
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Affiliation(s)
- Yong-Soon Cho
- Center for Personalized Precision Medicine of Tuberculosis (cPMTb), Inje University College of Medicine, Busan 47392, Korea
- Department of Pharmacology and Clinical Pharmacology, PharmacoGenomics Research Center, Inje University College of Medicine, Busan 47392, Korea
| | - Jae-Gook Shin
- Center for Personalized Precision Medicine of Tuberculosis (cPMTb), Inje University College of Medicine, Busan 47392, Korea
- Department of Pharmacology and Clinical Pharmacology, PharmacoGenomics Research Center, Inje University College of Medicine, Busan 47392, Korea
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23
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Boshier FAT, Pang J, Penner J, Parker M, Alders N, Bamford A, Grandjean L, Grunewald S, Hatcher J, Best T, Dalton C, Bynoe PD, Frauenfelder C, Köeglmeier J, Myerson P, Roy S, Williams R, de Silva TI, Goldstein RA, Breuer J. Evolution of viral variants in remdesivir-treated and untreated SARS-CoV-2-infected pediatrics patients. J Med Virol 2022; 94:161-172. [PMID: 34415583 PMCID: PMC8426849 DOI: 10.1002/jmv.27285] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Revised: 08/04/2021] [Accepted: 08/18/2021] [Indexed: 11/07/2022]
Abstract
Detailed information on intrahost viral evolution in SARS-CoV-2 with and without treatment is limited. Sequential viral loads and deep sequencing of SARS-CoV-2 from the upper respiratory tract of nine hospitalized children, three of whom were treated with remdesivir, revealed that remdesivir treatment suppressed viral load in one patient but not in a second infected with an identical strain without any evidence of drug resistance found. Reduced levels of subgenomic RNA during treatment of the second patient, suggest an additional effect of remdesivir on viral replication. Haplotype reconstruction uncovered persistent SARS-CoV-2 variant genotypes in four patients. These likely arose from within-host evolution, although superinfection cannot be excluded in one case. Although our dataset is small, observed sample-to-sample heterogeneity in variant frequencies across four of nine patients suggests the presence of discrete viral populations in the lung with incomplete population sampling in diagnostic swabs. Such compartmentalization could compromise the penetration of remdesivir into the lung, limiting the drugs in vivo efficacy, as has been observed in other lung infections.
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Affiliation(s)
- Florencia A. T. Boshier
- Department of Infection, Immunity and Inflammation, UCL Great Ormond Street Institute of Child HealthUniversity College LondonLondonUK
| | - Juanita Pang
- Department of Infection, Immunity and Inflammation, UCL Great Ormond Street Institute of Child HealthUniversity College LondonLondonUK
- Division of Infection and ImmunityUniversity College LondonLondonUK
| | - Justin Penner
- Department of Infectious DiseaseGreat Ormond Street Hospital for Children NHS Foundation TrustLondonUK
| | - Matthew Parker
- Department of Infection, Immunity and Cardiovascular Diseases, The Florey InstituteUniversity of SheffieldSheffieldUK
| | - Nele Alders
- Department of Infectious DiseaseGreat Ormond Street Hospital for Children NHS Foundation TrustLondonUK
| | - Alasdair Bamford
- Department of Infectious DiseaseGreat Ormond Street Hospital for Children NHS Foundation TrustLondonUK
| | - Louis Grandjean
- Department of Infection, Immunity and Inflammation, UCL Great Ormond Street Institute of Child HealthUniversity College LondonLondonUK
| | - Stephanie Grunewald
- Department of Metabolic MedicineUCL Great Ormond Street Institute of Child HealthLondonUK
| | - James Hatcher
- Department of MicrobiologyGreat Ormond Street Hospital for Children NHS Foundation TrustLondonUK
| | - Timothy Best
- Department of MicrobiologyGreat Ormond Street Hospital for Children NHS Foundation TrustLondonUK
| | - Caroline Dalton
- Department of PharmacyGreat Ormond Street Hospital for Children NHS TrustLondonUK
| | - Patricia Dyal Bynoe
- Department of Infection, Immunity and Inflammation, UCL Great Ormond Street Institute of Child HealthUniversity College LondonLondonUK
| | - Claire Frauenfelder
- Department of EarsNose and Throat, Great Ormond Street Hospital for Children NHS Foundation TrustLondonUK
- Division of SurgeryUniversity of AdelaideAdelaideSouth AustraliaAustralia
| | - Jutta Köeglmeier
- Department of GastroenterologyGreat Ormond Street Hospital for Children NHS Foundation TrustLondonUK
| | - Phoebe Myerson
- Department of Infection, Immunity and Inflammation, UCL Great Ormond Street Institute of Child HealthUniversity College LondonLondonUK
| | - Sunando Roy
- Department of Infection, Immunity and Inflammation, UCL Great Ormond Street Institute of Child HealthUniversity College LondonLondonUK
| | - Rachel Williams
- Department of Infection, Immunity and Inflammation, UCL Great Ormond Street Institute of Child HealthUniversity College LondonLondonUK
| | - Thushan I. de Silva
- Department of Infection, Immunity and Cardiovascular Diseases, The Florey InstituteUniversity of SheffieldSheffieldUK
| | | | - Judith Breuer
- Department of Infection, Immunity and Inflammation, UCL Great Ormond Street Institute of Child HealthUniversity College LondonLondonUK
- Department of MicrobiologyGreat Ormond Street Hospital for Children NHS Foundation TrustLondonUK
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24
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Jovanović M, Vučićević K. Pediatric pharmacokinetic considerations and implications for drug dosing. ARHIV ZA FARMACIJU 2022. [DOI: 10.5937/arhfarm72-37605] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022] Open
Abstract
Optimizing the dosing of medicines for pediatric patients in routine clinical practice and determining the dose for clinical trials is still a challenging task. Children differ from adults in their response to drugs due to inherent differences in pharmacokinetics and/or pharmacodynamics, and responses may also vary among pediatric patients of different ages. However, the greatest disparities compared to adult pharmacokinetic profiles are observed in children below 2 years of age. The maturation of the liver and the kidneys, as well as the variation in body composition, are considered to be the main sources of pharmacokinetic variability. Hence, besides specific pharmacodynamic features, understanding age-related changes in drug absorption, distribution, and elimination is fundamental for optimizing drug efficacy and avoiding toxicity. This paper summarizes the pharmacokinetic changes throughout the childhood, along with the effect of developmental changes on drug dosage calculation. In clinical practice, age and body weight-based dosing regimens are usually used. In spite of dosing recommendations based on age and/or body weight, variabilities in pharmacokinetics and pharmacodynamic response remain, implying a need to monitor patients and optimize the dosing regimen according to physiological characteristics, disease characteristics and therapy.
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25
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Leeder JS, Dinh JC, Gaedigk A, Staggs VS, Prasad B, Pearce RE. Ontogeny of Scaling Factors for Pediatric Physiology-Based Pharmacokinetic Modeling and Simulation: Microsomal Protein Per Gram of Liver. Drug Metab Dispos 2022; 50:24-32. [PMID: 34686522 PMCID: PMC8969199 DOI: 10.1124/dmd.121.000623] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Accepted: 10/20/2021] [Indexed: 01/03/2023] Open
Abstract
Microsomal protein per gram of liver (MPPGL) is an important scaling factor for bottom-up physiology-based pharmacokinetic modeling and simulation, but data in pediatrics are limited. Therefore, MPPGL was determined in 160 liver samples from pediatric (n = 129) and adult (n = 31) donors obtained from four sources: the University of Maryland Brain and Tissue Bank (UMBTB), tissue retrieval services at the University of Minnesota and University of Pittsburgh, and Sekisui-Xenotech. Tissues were homogenized and subjected to differential centrifugation to prepare microsomes, and cytochrome c reductase activities in tissue homogenates and microsomes were used to estimate cytochrome P450 reductase (POR) activity as a marker of microsomal recovery; microsomal POR content was also assessed by quantitative proteomics. MPPGL values varied 5- to 10-fold within various age groups/developmental stages, and tissue source was identified as a contributing factor. Using a "trimmed" dataset comprised of samples ranging from 3 to 18 years of age common to the four sources, POR protein abundance and activity in microsomes and POR activity in homogenates was lower in UMBTB samples (autopsy) compared with other sources (perfused/flash-frozen). Regression analyses revealed that the UMBTB samples were driving an apparent age effect as no effect of age on log-transformed MPPGL values was observed when the UMBTB samples were excluded. We conclude that a mean±SD MPPGL value of 30.4±1.7 mg/g is representative between one month postnatal age and early adulthood. Potential source effects should be considered for studies involving tissue samples from multiple sources with different procurement and processing procedures. SIGNIFICANCE STATEMENT: Microsomal protein per gram of liver (MPPGL) is an important scaling factor for bottom up PBPK modeling and simulation, but data in pediatrics are limited. Although MPPGL varies 5- to 10-fold at a given developmental stage, a value of 30.4 ± 1.7 mg/g (mean ± SD) is representative between one month postnatal age and early adulthood. However, when tissue samples are obtained from multiple sources, different procurement and processing procedures may influence the results and should be taken into consideration.
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Affiliation(s)
- J Steven Leeder
- Certara, Princeton, NJ (J.C.D.); Division of Clinical Pharmacology, Toxicology and Therapeutic Innovation, Department of Pediatrics and Children's Mercy Research Institute, Children's Mercy Kansas City, Kansas City, Missouri (J.S.L., J.C.D., A.G., V.S.S., R.E.P.); Department of Pharmaceutical Sciences, Washington State University, Spokane, Washington (B.P.)
| | - Jean C Dinh
- Certara, Princeton, NJ (J.C.D.); Division of Clinical Pharmacology, Toxicology and Therapeutic Innovation, Department of Pediatrics and Children's Mercy Research Institute, Children's Mercy Kansas City, Kansas City, Missouri (J.S.L., J.C.D., A.G., V.S.S., R.E.P.); Department of Pharmaceutical Sciences, Washington State University, Spokane, Washington (B.P.)
| | - Andrea Gaedigk
- Certara, Princeton, NJ (J.C.D.); Division of Clinical Pharmacology, Toxicology and Therapeutic Innovation, Department of Pediatrics and Children's Mercy Research Institute, Children's Mercy Kansas City, Kansas City, Missouri (J.S.L., J.C.D., A.G., V.S.S., R.E.P.); Department of Pharmaceutical Sciences, Washington State University, Spokane, Washington (B.P.)
| | - Vincent S Staggs
- Certara, Princeton, NJ (J.C.D.); Division of Clinical Pharmacology, Toxicology and Therapeutic Innovation, Department of Pediatrics and Children's Mercy Research Institute, Children's Mercy Kansas City, Kansas City, Missouri (J.S.L., J.C.D., A.G., V.S.S., R.E.P.); Department of Pharmaceutical Sciences, Washington State University, Spokane, Washington (B.P.)
| | - Bhagwat Prasad
- Certara, Princeton, NJ (J.C.D.); Division of Clinical Pharmacology, Toxicology and Therapeutic Innovation, Department of Pediatrics and Children's Mercy Research Institute, Children's Mercy Kansas City, Kansas City, Missouri (J.S.L., J.C.D., A.G., V.S.S., R.E.P.); Department of Pharmaceutical Sciences, Washington State University, Spokane, Washington (B.P.)
| | - Robin E Pearce
- Certara, Princeton, NJ (J.C.D.); Division of Clinical Pharmacology, Toxicology and Therapeutic Innovation, Department of Pediatrics and Children's Mercy Research Institute, Children's Mercy Kansas City, Kansas City, Missouri (J.S.L., J.C.D., A.G., V.S.S., R.E.P.); Department of Pharmaceutical Sciences, Washington State University, Spokane, Washington (B.P.)
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26
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Barker CIS, Groeneweg G, Maitland-van der Zee AH, Rieder MJ, Hawcutt DB, Hubbard TJ, Swen JJ, Carleton BC. Pharmacogenomic testing in paediatrics: clinical implementation strategies. Br J Clin Pharmacol 2021; 88:4297-4310. [PMID: 34907575 PMCID: PMC9544158 DOI: 10.1111/bcp.15181] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Revised: 10/22/2021] [Accepted: 11/09/2021] [Indexed: 11/27/2022] Open
Abstract
Pharmacogenomics (PGx) relates to the study of genetic factors determining variability in drug response. Implementing PGx testing in paediatric patients can enhance drug safety, helping to improve drug efficacy or reduce the risk of toxicity. Despite its clinical relevance, the implementation of PGx testing in paediatric practice to date has been variable and limited. As with most paediatric pharmacological studies, there are well‐recognised barriers to obtaining high‐quality PGx evidence, particularly when patient numbers may be small, and off‐label or unlicensed prescribing remains widespread. Furthermore, trials enrolling small numbers of children can rarely, in isolation, provide sufficient PGx evidence to change clinical practice, so extrapolation from larger PGx studies in adult patients, where scientifically sound, is essential. This review paper discusses the relevance of PGx to paediatrics and considers implementation strategies from a child health perspective. Examples are provided from Canada, the Netherlands and the UK, with consideration of the different healthcare systems and their distinct approaches to implementation, followed by future recommendations based on these cumulative experiences. Improving the evidence base demonstrating the clinical utility and cost‐effectiveness of paediatric PGx testing will be critical to drive implementation forwards. International, interdisciplinary collaborations will enhance paediatric data collation, interpretation and evidence curation, while also supporting dedicated paediatric PGx educational initiatives. PGx consortia and paediatric clinical research networks will continue to play a central role in the streamlined development of effective PGx implementation strategies to help optimise paediatric pharmacotherapy.
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Affiliation(s)
- Charlotte I S Barker
- Department of Medical & Molecular Genetics, King's College London, London, UK.,Department of Clinical Genetics, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Gabriella Groeneweg
- Division of Translational Therapeutics, Department of Pediatrics, University of British Columbia, Vancouver, British Columbia, Canada.,Pharmaceutical Outcomes Programme, BC Children's Hospital, Vancouver, British Columbia, Canada
| | - Anke H Maitland-van der Zee
- Respiratory Medicine/Pediatric Respiratory Medicine, Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands
| | - Michael J Rieder
- Departments of Paediatrics, Physiology and Pharmacology and Medicine, Western University, London, Ontario, Canada.,Molecular Medicine Group, Robarts Research Institute, London, Ontario, Canada
| | - Daniel B Hawcutt
- Department of Women's and Children's Health, University of Liverpool, Liverpool, UK.,NIHR Clinical Research Facility, Alder Hey Children's Hospital, Liverpool, UK
| | - Tim J Hubbard
- Department of Medical & Molecular Genetics, King's College London, London, UK.,Genomics England, London, UK
| | - Jesse J Swen
- Department of Clinical Pharmacy and Toxicology, Leiden University Medical Center, Leiden, The Netherlands.,Leiden Network for Personalized Therapeutics, Leiden, The Netherlands
| | - Bruce C Carleton
- Division of Translational Therapeutics, Department of Pediatrics, University of British Columbia, Vancouver, British Columbia, Canada.,Pharmaceutical Outcomes Programme, BC Children's Hospital, Vancouver, British Columbia, Canada.,BC Children's Hospital Research Institute, Vancouver, British Columbia, Canada
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27
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Zhou X, Lee TI, Zhu M, Ma P. Prediction of Belimumab Pharmacokinetics in Chinese Pediatric Patients with Systemic Lupus Erythematosus. Drugs R D 2021; 21:407-417. [PMID: 34628605 PMCID: PMC8602678 DOI: 10.1007/s40268-021-00363-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/07/2021] [Indexed: 11/06/2022] Open
Abstract
Background and Objective Intravenous (IV) belimumab is the first treatment approved for children ≥5 years of age with active autoantibody-positive systemic lupus erythematosus (SLE) in the USA, Europe, and Japan. Pharmacokinetic data for belimumab were collected from several clinical trials in Chinese and non-Chinese adults and non-Chinese pediatric patients with SLE. This study aimed to predict the belimumab dose-exposure relationship to Chinese pediatric patients with SLE, as part of the belimumab registration process for this population in China, using a population PK modeling approach. Methods An initial linear two-compartment population pharmacokinetic model was built using data from adults only, and considering and adjusting for the covariates age, body weight, body mass index, fat-free mass, race, baseline albumin and immunoglobulin G levels. The model was used to study possible ethnic differences between Chinese and non-Chinese adults and to predict pediatric pharmacokinetic data in a study of non-Chinese pediatric patients (PLUTO study; NCT01649765). The predicted data were compared with the observed data from PLUTO. The model was then updated with pediatric data from PLUTO to predict steady-state belimumab exposure in Chinese pediatric patients with SLE receiving belimumab 10 mg/kg IV every 4 weeks. Results The dataset comprised 9650 sampled concentration values from 1783 patients. The pharmacokinetics of belimumab were adequately described by the final model using all adult and pediatric data with the estimated typical clearance of 238 ml/day in adult and pediatric patients and steady-state volume of distribution of 4915 ml in adults. Between-patient variability was modest (coefficients of variation: 26.1% for clearance; 8.9% and 28.5%, respectively, for volumes of distribution of the central and peripheral compartments). Six covariates were identified that influenced pharmacokinetics: age, fat-free mass, an indicator of North East Asian race, baseline albumin, immunoglobulin G, and an early study indicator (two early phase I and phase II belimumab studies: LBSL01 and LBSL02). The analysis showed no apparent difference in steady-state exposure between Chinese and non-Chinese populations and between pediatric and adult populations receiving belimumab 10 mg/kg IV. Conclusions In Chinese pediatric patients with SLE, belimumab 10 mg/kg IV every 4 weeks is expected to have exposure similar to that in Chinese adults and non-Chinese pediatric patients with SLE, supporting the use of this regimen in Chinese pediatric patients with SLE. Clinical Trial Registration Numbers NCT01649765, NCT00657007, NCT00071487, NCT01345253, NCT01516450, NCT00410384, NCT00424476, NCT02880852, NCT01583530. Supplementary Information The online version contains supplementary material available at 10.1007/s40268-021-00363-2.
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Affiliation(s)
- Xuan Zhou
- Clinical Pharmacology Modeling and Simulation, GSK, GlaxoSmithKline, 999 Huanke Road, Pudong, Shanghai, 201203, China
| | - Tsung-I Lee
- Clinical Pharmacology Modeling and Simulation, GSK, GlaxoSmithKline, 999 Huanke Road, Pudong, Shanghai, 201203, China
| | - Min Zhu
- Clinical Pharmacology Modeling and Simulation, GSK, GlaxoSmithKline, 999 Huanke Road, Pudong, Shanghai, 201203, China.,Department of Pharmacy, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Peiming Ma
- Clinical Pharmacology Modeling and Simulation, GSK, GlaxoSmithKline, 999 Huanke Road, Pudong, Shanghai, 201203, China.
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28
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Zhu P, Willmann S, Zhou W, Yang H, Michelson AD, McCrindle BW, Li JS, Harris KC, Pina LM, Weber T, Nessel K, Lesko LJ, Kubitza D, Zannikos P. Dosing Regimen Prediction and Confirmation with Rivaroxaban for Thromboprophylaxis in Children after the Fontan Procedure: Insights from the Phase III UNIVERSE Study. J Clin Pharmacol 2021; 62:220-231. [PMID: 34524700 PMCID: PMC9303933 DOI: 10.1002/jcph.1966] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Accepted: 09/10/2021] [Indexed: 11/09/2022]
Abstract
Thrombosis remains an important complication for children with single ventricle physiology post-Fontan procedure and effective thromboprophylaxis is an important unmet medical need. To obviate conventional dose-finding studies and expedite clinical development, a rivaroxaban dose regimen for this indication was determined utilizing a model-informed drug development approach. A physiologically based pharmacokinetic (PBPK) rivaroxaban model was used to predict a pediatric dosing regimen that would produce drug exposures similar to that of 10 mg once daily in adults. This regimen was used in an open-label, multicenter Phase 3 study, which investigated the use of rivaroxaban for thromboprophylaxis in post-Fontan patients 2 to 8 years of age. The pharmacokinetics (PK) of rivaroxaban was assessed in Part A (n = 12) and in Part B (n = 64) of UNIVERSE. The safety and efficacy in the rivaroxaban group were compared to those in the acetylsalicylic acid group for 12 months. Pharmacodynamic endpoints were assessed in both parts of the study. Rivaroxaban exposures achieved in Part A and B were similar to the adult reference exposures. Prothrombin time also showed similarity to the adult reference. Exposure-response analysis did not identify a quantitative relationship between rivaroxaban exposures and efficacy/safety outcomes within the observed exposure ranges. A body-weight based dose regimen selected by PBPK modeling was shown in the UNIVERSE study to be appropriate for thromboprophylaxis in the post-Fontan pediatric population. Model-based dose selection can support pediatric drug development and bridge adult dose data to pediatrics, thereby obviating the need for dose-finding studies in pediatric programs. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Peijuan Zhu
- Janssen Research & Development, LLC, Raritan, NJ, USA
| | - Stefan Willmann
- Bayer AG, Pharmaceuticals, Research and Development, Wuppertal, Germany
| | - Wangda Zhou
- Janssen Research & Development, LLC, Raritan, NJ, USA
| | - Haitao Yang
- Janssen Research & Development, LLC, Raritan, NJ, USA
| | - Alan D Michelson
- Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Brian W McCrindle
- The Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada
| | | | - Kevin C Harris
- Children's Heart Centre, BC Children's Hospital, Vancouver, BC, Canada
| | | | - Traci Weber
- Janssen Research & Development, LLC, Raritan, NJ, USA
| | | | | | - Dagmar Kubitza
- Bayer AG, Pharmaceuticals, Research and Development, Wuppertal, Germany
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29
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Tu Q, Cotta M, Raman S, Graham N, Schlapbach L, Roberts JA. Individualized precision dosing approaches to optimize antimicrobial therapy in pediatric populations. Expert Rev Clin Pharmacol 2021; 14:1383-1399. [PMID: 34313180 DOI: 10.1080/17512433.2021.1961578] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Introduction:Severe infections continue to impose a major burden on critically ill children and mortality rates remain stagnant. Outcomes rely on accurate and timely delivery of antimicrobials achieving target concentrations in infected tissue. Yet, developmental aspects, disease-related variables, and host factors may severely alter antimicrobial pharmacokinetics in pediatrics. The emergence of antimicrobial resistance increases the need for improved treatment approaches.Areas covered:This narrative review explores why optimization of antimicrobial therapy in neonates, infants, children, and adolescents is crucial and summarizes the possible dosing approaches to achieve antimicrobial individualization. Finally, we outline a roadmap toward scientific evidence informing the development and implementation of precision antimicrobial dosing in critically ill children.The literature search was conducted on PubMed using the following keywords: neonate, infant, child, adolescent, pediatrics, antimicrobial, pharmacokinetic, pharmacodynamic target, Bayes dosing software, optimizing, individualizing, personalizing, precision dosing, drug monitoring, validation, attainment, and software implementation. Further articles were sought from the references of the above searched articles.Expert opinion:Recently, technological innovations have emerged that enabled the development of individualized antimicrobial dosing approaches in adults. More work is required in pediatrics to make individualized antimicrobial dosing approaches widely operationalized in this population.
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Affiliation(s)
- Quyen Tu
- University of Queensland Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia.,Department of Pharmacy, Queensland Children's Hospital, Brisbane, QLD, Australia
| | - Menino Cotta
- University of Queensland Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia
| | - Sainath Raman
- Department of Paediatric Intensive Care Medicine, Queensland Children's Hospital, Brisbane, QLD, Australia.,Centre for Children's Health Research (CCHR), The University of Queensland, Brisbane, QLD, Australia
| | - Nicolette Graham
- Department of Pharmacy, Queensland Children's Hospital, Brisbane, QLD, Australia
| | - Luregn Schlapbach
- Department of Paediatric Intensive Care Medicine, Queensland Children's Hospital, Brisbane, QLD, Australia.,Department of Intensive Care and Neonatology, The University Children's Hospital Zurich, Switzerland
| | - Jason A Roberts
- University of Queensland Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia.,Departments of Pharmacy and Intensive Care Medicine, Royal Brisbane and Women's Hospital, Brisbane, Australia.,Division of Anaesthesiology Critical Care Emergency and Pain Medicine, Nîmes University Hospital, University of Montpellier, Nîmes, France
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30
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Tikiso T, McIlleron H, Burger D, Gibb D, Rabie H, Lee J, Lallemant M, Cotton MF, Archary M, Hennig S, Denti P. Abacavir pharmacokinetics in African children living with HIV: A pooled analysis describing the effects of age, malnutrition and common concomitant medications. Br J Clin Pharmacol 2021; 88:403-415. [PMID: 34260082 PMCID: PMC9292832 DOI: 10.1111/bcp.14984] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Revised: 06/29/2021] [Accepted: 07/03/2021] [Indexed: 11/29/2022] Open
Abstract
Aims Abacavir is part of WHO‐recommended regimens to treat HIV in children under 15 years of age. In a pooled analysis across four studies, we describe abacavir population pharmacokinetics to investigate the influence of age, concomitant medications, malnutrition and formulation. Methods A total of 230 HIV‐infected African children were included, with median (range) age of 2.1 (0.1–12.8) years and weight of 9.8 (2.5–30.0) kg. The population pharmacokinetics of abacavir was described using nonlinear mixed‐effects modelling. Results Abacavir pharmacokinetics was best described by a two‐compartment model with first‐order elimination, and absorption described by transit compartments. Clearance was predicted around 54% of its mature value at birth and 90% at 10 months. The estimated typical clearance at steady state was 10.7 L/h in a child weighing 9.8 kg co‐treated with lopinavir/ritonavir, and was 12% higher in children receiving efavirenz. During coadministration of rifampicin‐based antituberculosis treatment and super‐boosted lopinavir in a 1:1 ratio with ritonavir, abacavir exposure decreased by 29.4%. Malnourished children living with HIV had higher abacavir exposure initially, but this effect waned with nutritional rehabilitation. An additional 18.4% reduction in clearance after the first abacavir dose was described, suggesting induction of clearance with time on lopinavir/ritonavir‐based therapy. Finally, absorption of the fixed dose combination tablet was 24% slower than the abacavir liquid formulation. Conclusion In this pooled analysis we found that children on lopinavir/ritonavir or efavirenz had similar abacavir exposures, while concomitant TB treatment and super‐boosted lopinavir gave significantly reduced abacavir concentrations.
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Affiliation(s)
- Tjokosela Tikiso
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Helen McIlleron
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa.,Wellcome Centre for Infectious Diseases Research in Africa (CIDRI-Africa), Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
| | - David Burger
- Department of Pharmacy, Radboud University Medical Centre, Nijmegen, the Netherlands
| | - Diana Gibb
- MRC Clinical Trials Unit at University College London, London, UK
| | - Helena Rabie
- Department of Paediatrics and Child Health and Family Centre for Research with Ubuntu (FAM-CRU), Stellenbosch University and Tygerberg Children's Hospital, Cape Town, South Africa
| | - Janice Lee
- Drugs for Neglected Diseases initiative, Geneva, Switzerland
| | - Marc Lallemant
- Drugs for Neglected Diseases initiative, Geneva, Switzerland
| | - Mark F Cotton
- Department of Paediatrics and Child Health and Family Centre for Research with Ubuntu (FAM-CRU), Stellenbosch University and Tygerberg Children's Hospital, Cape Town, South Africa
| | - Moherndran Archary
- Department of Paediatrics and Child Health at King Edward VIII Hospital affiliated to the Nelson R Mandela School of Medicine, University of KwaZulu-Natal, South Africa
| | - Stefanie Hennig
- Certara, Inc., Princeton, New Jersey, USA.,School of Clinical Sciences, Faculty of Health, Queensland University of Technology, Brisbane, QLD, Australia
| | - Paolo Denti
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa
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Lommerse J, Plock N, Cheung SYA, Sachs JR. V 2 ACHER: Visualization of complex trial data in pharmacometric analyses with covariates. CPT-PHARMACOMETRICS & SYSTEMS PHARMACOLOGY 2021; 10:1092-1106. [PMID: 34242494 PMCID: PMC8452296 DOI: 10.1002/psp4.12679] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Revised: 05/17/2021] [Accepted: 05/28/2021] [Indexed: 11/06/2022]
Abstract
Pharmacometric models can enhance clinical decision making, with covariates exposing potential contributions to variability of subpopulation characteristics, for example, demographics or disease status. Intuitive visualization of models with multiple covariates is needed because sparsity of data in visualizations trellised by covariate values can raise concerns about the credibility of the underlying model. V2 ACHER, introduced here, is a stepwise transformation of data that can be applied to a variety of static (non-ordinary-differential-equation-based) pharmacometric analyses. This work uses four examples of increasing complexity to show how the transformation elucidates the relationship between observations and model results and how it can also be used in visual predictive checks to confirm the quality of a model. V2 ACHER facilitates consistent, intuitive, single-plot visualization of a multicovariate model with a complex data set, thereby enabling easier model communication for modelers and for cross-functional development teams and facilitating confident use in support of decisions.
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Affiliation(s)
- Jos Lommerse
- Certara Strategic Consulting, Princeton, NJ, USA
| | - Nele Plock
- Certara Strategic Consulting, Princeton, NJ, USA
| | | | - Jeffrey R Sachs
- Pharmacokinetics, Pharmacodynamics, and Drug Metabolism-Quantitative Pharmacology and Pharmacometrics, Research Laboratories of Merck & Co., Inc., Kenilworth, NJ, USA
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32
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Vinks AA, Barrett JS. Model-Informed Pediatric Drug Development: Application of Pharmacometrics to Define the Right Dose for Children. J Clin Pharmacol 2021; 61 Suppl 1:S52-S59. [PMID: 34185897 DOI: 10.1002/jcph.1841] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Accepted: 02/16/2021] [Indexed: 12/26/2022]
Abstract
One of the biggest challenges in pediatric drug development is defining a safe and effective dose in pediatric populations, which span across a wide age and development range from neonates to adolescents. Model-informed drug development approaches are particularly suited to address knowledge gaps including data leveraging to increase the success of pediatric studies. Considering the often limited number of patients available for study and logistic difficulties to collect the necessary data in pediatric populations, the application of pharmacometrics and modeling and simulation techniques can improve clinical trial efficiency, increase the probability of regulatory success, and optimize therapeutic individualization in support of dedicated trials. This review describes the state of pediatric model-informed drug development to define the right dose for children and provides suggestions for future development.
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Affiliation(s)
- Alexander A Vinks
- Division of Clinical Pharmacology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.,Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Jeffrey S Barrett
- Quantitative Medicine, Critical Path Institute, Tucson, Arizona, USA
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33
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Gastine S, Hsia Y, Clements M, Barker CI, Bielicki J, Hartmann C, Sharland M, Standing JF. Variation in Target Attainment of Beta-Lactam Antibiotic Dosing Between International Pediatric Formularies. Clin Pharmacol Ther 2021; 109:958-970. [PMID: 33521971 PMCID: PMC8358626 DOI: 10.1002/cpt.2180] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Accepted: 01/15/2021] [Indexed: 12/26/2022]
Abstract
As antimicrobial susceptibility of common bacterial pathogens decreases, ensuring optimal dosing may preserve the use of older antibiotics in order to limit the spread of resistance to newer agents. Beta-lactams represent the most widely prescribed antibiotic class, yet most were licensed prior to legislation changes mandating their study in children. As a result, significant heterogeneity persists in the pediatric doses used globally, along with quality of evidence used to inform dosing. This review summarizes dosing recommendations from the major pediatric reference sources and tries to answer the questions: Does beta-lactam dose heterogeneity matter? Does it impact pharmacodynamic target attainment? For three important severe clinical infections-pneumonia, sepsis, and meningitis-pharmacokinetic models were identified for common for beta-lactam antibiotics. Real-world demographics were derived from three multicenter point prevalence surveys. Simulation results were compared with minimum inhibitory concentration distributions to inform appropriateness of recommended doses in targeted and empiric treatment. While cephalosporin dosing regimens are largely adequate for target attainment, they also pose the most risk of neurotoxicity. Our review highlights aminopenicillin, piperacillin, and meropenem doses as potentially requiring review/optimization in order to preserve the use of these agents in future.
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Affiliation(s)
- Silke Gastine
- Infection, Immunity and Inflammation Research and Teaching DepartmentUCL Great Ormond Street Institute of Child HealthUniversity College LondonLondonUK
| | - Yingfen Hsia
- School of PharmacyQueen’s University BelfastBelfastUK
| | | | - Charlotte I.S. Barker
- Department of Medical & Molecular GeneticsKing’s College LondonLondonUK
- Paediatric Infectious Diseases Research GroupInstitute for Infection and ImmunitySt George’s University of LondonLondonUK
| | - Julia Bielicki
- Paediatric Infectious Diseases Research GroupInstitute for Infection and ImmunitySt George’s University of LondonLondonUK
- Paediatric Pharmacology GroupUniversity of Basel Children’s HospitalBaselSwitzerland
| | | | - Mike Sharland
- Paediatric Infectious Diseases Research GroupInstitute for Infection and ImmunitySt George’s University of LondonLondonUK
| | - Joseph F. Standing
- Infection, Immunity and Inflammation Research and Teaching DepartmentUCL Great Ormond Street Institute of Child HealthUniversity College LondonLondonUK
- Department of PharmacyGreat Ormond Street Hospital for ChildrenLondonUK
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34
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Lutz JD, Mathias A, German P, Pikora C, Reddy S, Kirby BJ. Physiologically-Based Pharmacokinetic Modeling of Remdesivir and Its Metabolites to Support Dose Selection for the Treatment of Pediatric Patients With COVID-19. Clin Pharmacol Ther 2021; 109:1116-1124. [PMID: 33501997 PMCID: PMC8014571 DOI: 10.1002/cpt.2176] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Accepted: 01/01/2021] [Indexed: 12/12/2022]
Abstract
Severe coronavirus disease 2019 (COVID‐19) disease, including multisystem inflammatory syndrome, has been reported in children. This report summarizes development of a remdesivir physiologically‐based pharmacokinetic (PBPK) model that accurately describes observed adult remdesivir and metabolites exposure and predicts pediatric remdesivir and metabolites exposure. The adult PBPK model was applied to predict pediatric remdesivir and metabolites steady‐state exposures using the Pediatric Population Model in SimCYP and incorporated the relevant physiologic and mechanistic information. Model development was based on adult phase I exposure data in healthy volunteers who were administered a 200‐mg loading dose of remdesivir intravenous (IV) over 0.5 hours on Day 1, then 100‐mg daily maintenance doses of IV over 0.5 hours starting on Day 2 and continuing through Days 5 or 10. Simulations indicated that use of the adult therapeutic remdesivir dosage regimen (200‐mg loading dose on Day 1 then 100‐mg daily maintenance dose starting on Day 2) in pediatric patients ≥ 40 kg and a weight‐based remdesivir dosage regimen (5‐mg/kg loading dose on Day 1 then 2.5‐mg/kg daily maintenance dose starting on Day 2) in pediatric patients weighing 2.5 to < 40 kg is predicted to maintain therapeutic exposures of remdesivir and its metabolites. The comprehensive PBPK model described in this report supported remdesivir dosing in planned pediatric clinical studies and dosing in the emergency use authorization and pediatric compassionate use programs that were initiated to support remdesivir as a treatment option during the pandemic.
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Affiliation(s)
- Justin D Lutz
- Department of Clinical Pharmacology, Gilead Sciences Inc., Foster City, California, USA
| | - Anita Mathias
- Department of Clinical Pharmacology, Gilead Sciences Inc., Foster City, California, USA
| | - Polina German
- Department of Clinical Pharmacology, Gilead Sciences Inc., Foster City, California, USA
| | - Cheryl Pikora
- Department of Clinical Research, Gilead Sciences Inc., Foster City, California, USA
| | - Sunila Reddy
- Department of Clinical Pharmacology, Gilead Sciences Inc., Foster City, California, USA
| | - Brian J Kirby
- Department of Clinical Pharmacology, Gilead Sciences Inc., Foster City, California, USA
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35
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Franck B, Woillard JB, Théorêt Y, Bittencourt H, Demers E, Briand A, Marquet P, Lapeyraque AL, Ovetchkine P, Autmizguine J. Population pharmacokinetics of ganciclovir and valganciclovir in paediatric solid organ and stem cell transplant recipients. Br J Clin Pharmacol 2021; 87:3105-3114. [PMID: 33373493 DOI: 10.1111/bcp.14719] [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: 07/17/2020] [Revised: 11/26/2020] [Accepted: 12/11/2020] [Indexed: 11/27/2022] Open
Abstract
AIMS Ganciclovir (GCV) and its prodrug valganciclovir (VGCV) are first-line agents to prevent and treat cytomegalovirus in transplant recipients. There is high pharmacokinetic (PK) interindividual variability and PK data are scarce, especially in paediatric stem cell transplant (SCT) recipients. We sought to determine the optimal GCV and VGCV dosing in transplanted children. METHODS We conducted a single-centre retrospective population PK (POPPK) study of IV GCV and enteral VGCV in paediatric solid organ transplant (SOT) and SCT recipients. We included children who were transplanted and had available plasma GCV concentrations, done per standard of care. POPPK analysis was performed using a nonlinear mixed effects modelling approach with NONMEM. Optimal dosing was determined based on the achievement of the surrogate efficacy target: GCV 24 h area under the concentration-time curve (AUC0-24h ) of 40-60 mg.h.L-1 . RESULTS Fifty children with a median [range] age of 7.5 years [0.5-17.4] contributed 580 PK samples. A two-compartment model with first-order absorption with a lag time and first-order elimination fit the data well. Creatinine clearance and body weight (WT) were significant covariates for GCV clearance (CL); and WT for the volumes of distribution. IV GCV 15-20 mg.kg-1 .day-1 divided every 12 hours achieved the highest probability of target achievement (PTA) (33.0-33.8%). Enteral VGCV 30 and 40 mg.kg-1 .day-1 divided every 12 hours in children 0-<6 years, and 6-18 years, respectively, achieved the highest PTA (29.1-33.0%). CONCLUSION This is the first POPPK model developed in children with either SOT or SCT. Concentration target achievement was low, suggesting a potential benefit for therapeutic drug monitoring to ensure optimal exposure.
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Affiliation(s)
- Bénédicte Franck
- INSERM, IPPRITT, U1248, Limoges, France.,Univ. Limoges, IPPRITT, Limoges, France.,Department of Pharmacology and Toxicology, CHU Limoges, Limoges, France
| | - Jean-Baptiste Woillard
- INSERM, IPPRITT, U1248, Limoges, France.,Univ. Limoges, IPPRITT, Limoges, France.,Department of Pharmacology and Toxicology, CHU Limoges, Limoges, France
| | - Yves Théorêt
- Clinical Pharmacology Unit, CHU Sainte-Justine, Montreal, Quebec, Canada
| | | | - Emile Demers
- Department of Pharmacy, CHU Sainte-Justine, Montreal, Quebec, Canada
| | - Annabelle Briand
- Research Center, CHU Sainte-Justine, Quebec, Montreal, Canada.,Faculty of Medicine, Université de Montréal, Montreal, Quebec, Canada
| | - Pierre Marquet
- INSERM, IPPRITT, U1248, Limoges, France.,Univ. Limoges, IPPRITT, Limoges, France.,Department of Pharmacology and Toxicology, CHU Limoges, Limoges, France
| | | | | | - Julie Autmizguine
- Clinical Pharmacology Unit, CHU Sainte-Justine, Montreal, Quebec, Canada.,Department of Pediatrics, CHU Sainte-Justine, Montreal, Quebec, Canada.,Research Center, CHU Sainte-Justine, Quebec, Montreal, Canada.,Department of Pharmacology and Physiology, Université de Montréal, Montreal, Quebec, Canada
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36
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Germovsek E, Cheng M, Giragossian C. Allometric scaling of therapeutic monoclonal antibodies in preclinical and clinical settings. MAbs 2021; 13:1964935. [PMID: 34530672 PMCID: PMC8463036 DOI: 10.1080/19420862.2021.1964935] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Revised: 07/19/2021] [Accepted: 08/03/2021] [Indexed: 02/06/2023] Open
Abstract
Constant technological advancement enabled the production of therapeutic monoclonal antibodies (mAbs) and will continue to contribute to their rapid expansion. Compared to small-molecule drugs, mAbs have favorable characteristics, but also more complex pharmacokinetics (PK), e.g., target-mediated nonlinear elimination and recycling by neonatal Fc-receptor. This review briefly discusses mAb biology, similarities and differences in PK processes across species and within human, and provides a detailed overview of allometric scaling approaches for translating mAb PK from preclinical species to human and extrapolating from adults to children. The approaches described here will remain vital in mAb drug development, although more data are needed, for example, from very young patients and mAbs with nonlinear PK, to allow for more confident conclusions and contribute to further growth of this field. Improving mAb PK predictions will facilitate better planning of (pediatric) clinical studies and enable progression toward the ultimate goal of expediting drug development.
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Affiliation(s)
- Eva Germovsek
- Translational Medicine and Clinical Pharmacology, Boehringer Ingelheim Pharma GmbH & Co. KG, Ingelheim, Germany
| | - Ming Cheng
- Development Biologicals, Drug Metabolism And Pharmacokinetics, Boehringer Ingelheim Pharmaceuticals Inc, Ridgefield, US
| | - Craig Giragossian
- Biotherapeutics Discovery, Boehringer Ingelheim Pharmaceuticals Inc, Ridgefield, US
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Jacobs TG, Svensson EM, Musiime V, Rojo P, Dooley KE, McIlleron H, Aarnoutse RE, Burger DM, Turkova A, Colbers A. Pharmacokinetics of antiretroviral and tuberculosis drugs in children with HIV/TB co-infection: a systematic review. J Antimicrob Chemother 2020; 75:3433-3457. [PMID: 32785712 PMCID: PMC7662174 DOI: 10.1093/jac/dkaa328] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Accepted: 06/29/2020] [Indexed: 12/18/2022] Open
Abstract
INTRODUCTION Management of concomitant use of ART and TB drugs is difficult because of the many drug-drug interactions (DDIs) between the medications. This systematic review provides an overview of the current state of knowledge about the pharmacokinetics (PK) of ART and TB treatment in children with HIV/TB co-infection, and identifies knowledge gaps. METHODS We searched Embase and PubMed, and systematically searched abstract books of relevant conferences, following PRISMA guidelines. Studies not reporting PK parameters, investigating medicines that are not available any longer or not including children with HIV/TB co-infection were excluded. All studies were assessed for quality. RESULTS In total, 47 studies met the inclusion criteria. No dose adjustments are necessary for efavirenz during concomitant first-line TB treatment use, but intersubject PK variability was high, especially in children <3 years of age. Super-boosted lopinavir/ritonavir (ratio 1:1) resulted in adequate lopinavir trough concentrations during rifampicin co-administration. Double-dosed raltegravir can be given with rifampicin in children >4 weeks old as well as twice-daily dolutegravir (instead of once daily) in children older than 6 years. Exposure to some TB drugs (ethambutol and rifampicin) was reduced in the setting of HIV infection, regardless of ART use. Only limited PK data of second-line TB drugs with ART in children who are HIV infected have been published. CONCLUSIONS Whereas integrase inhibitors seem favourable in older children, there are limited options for ART in young children (<3 years) receiving rifampicin-based TB therapy. The PK of TB drugs in HIV-infected children warrants further research.
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Affiliation(s)
- Tom G Jacobs
- Radboud University Medical Center, Radboud Institute for Health Sciences, Department of Pharmacy, Nijmegen, The Netherlands
| | - Elin M Svensson
- Radboud University Medical Center, Radboud Institute for Health Sciences, Department of Pharmacy, Nijmegen, The Netherlands
- Department of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden
| | - Victor Musiime
- Research Department, Joint Clinical Research Centre, Kampala, Uganda
- Department of Paediatrics and Child Health, School of Medicine, Makerere University College of Health Sciences, Kampala, Uganda
| | - Pablo Rojo
- Pediatric Infectious Diseases Unit. Hospital 12 de Octubre, Facultad de Medicina, Universidad Complutense, Madrid, Spain
| | - Kelly E Dooley
- Divisions of Clinical Pharmacology and Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Helen McIlleron
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Rob E Aarnoutse
- Radboud University Medical Center, Radboud Institute for Health Sciences, Department of Pharmacy, Nijmegen, The Netherlands
| | - David M Burger
- Radboud University Medical Center, Radboud Institute for Health Sciences, Department of Pharmacy, Nijmegen, The Netherlands
| | - Anna Turkova
- MRC Clinical Trials Unit at UCL, Institute of Clinical Trials & Methodology, University College London, London, UK
| | - Angela Colbers
- Radboud University Medical Center, Radboud Institute for Health Sciences, Department of Pharmacy, Nijmegen, The Netherlands
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Xu Y, Langevin BA, Zhou H, Xu Z. Model‐Aided Adults‐to‐Children Pharmacokinetic Extrapolation and Empirical Body Size‐Based Dosing Exploration for Therapeutic Monoclonal Antibodies—Is Allometry a Reasonable Choice? J Clin Pharmacol 2020; 60:1573-1584. [DOI: 10.1002/jcph.1677] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2020] [Accepted: 05/22/2020] [Indexed: 12/13/2022]
Affiliation(s)
- Yan Xu
- Clinical Pharmacology and Pharmacometrics Janssen Research & Development, LLC Spring House Pennsylvania USA
| | - Brooke A. Langevin
- Clinical Pharmacology and Pharmacometrics Janssen Research & Development, LLC Spring House Pennsylvania USA
- Chemical & Biomolecular Engineering Johns Hopkins University Baltimore Maryland USA
| | - Honghui Zhou
- Clinical Pharmacology and Pharmacometrics Janssen Research & Development, LLC Spring House Pennsylvania USA
| | - Zhenhua Xu
- Clinical Pharmacology and Pharmacometrics Janssen Research & Development, LLC Spring House Pennsylvania USA
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Fuscoe JC, Vijay V, Hanig JP, Han T, Ren L, Greenhaw JJ, Beger RD, Pence LM, Shi Q. Hepatic Transcript Profiles of Cytochrome P450 Genes Predict Sex Differences in Drug Metabolism. Drug Metab Dispos 2020; 48:447-458. [PMID: 32193355 PMCID: PMC7250365 DOI: 10.1124/dmd.119.089367] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2019] [Accepted: 02/21/2020] [Indexed: 12/13/2022] Open
Abstract
Safety assessments of new drug candidates are an important part of the drug development and approval process. Often, possible sex-associated susceptibilities are not adequately addressed, and better assessment tools are needed. We hypothesized that hepatic transcript profiles of cytochrome P450 (P450) enzymes can be used to predict sex-associated differences in drug metabolism and possible adverse events. Comprehensive hepatic transcript profiles were generated for F344 rats of both sexes at nine ages, from 2 weeks (preweaning) to 104 weeks (elderly). Large differences in the transcript profiles of 29 drug metabolizing enzymes and transporters were found between adult males and females (8-52 weeks). Using the PharmaPendium data base, 41 drugs were found to be metabolized by one or two P450 enzymes encoded by sexually dimorphic mRNAs and thus were candidates for evaluation of possible sexually dimorphic metabolism and/or toxicities. Suspension cultures of primary hepatocytes from three male and three female adult rats (10-13 weeks old) were used to evaluate the metabolism of 11 drugs predicted to have sexually dimorphic metabolism. The pharmacokinetics of the drug or its metabolite was analyzed by liquid chromatography/tandem mass spectrometry using multiple reaction monitoring. Of those drugs with adequate metabolism, the predicted significant sex-different metabolism was found for six of seven drugs, with half-lives 37%-400% longer in female hepatocytes than in male hepatocytes. Thus, in this rat model, transcript profiles may allow identification of potential sex-related differences in drug metabolism. SIGNIFICANCE STATEMENT: The present study showed that sex-different expression of genes coding for drug metabolizing enzymes, specifically cytochrome P450s, could be used to predict sex-different drug metabolism and, thus, provide a new tool for protecting susceptible subpopulations from possible adverse drug events.
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Affiliation(s)
- James C Fuscoe
- Division of Systems Biology, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, Arkansas (J.C.F., V.V., T.H., L.R., J.J.G., R.D.B., L.M.P., Q.S.); and Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland (J.P.H.)
| | - Vikrant Vijay
- Division of Systems Biology, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, Arkansas (J.C.F., V.V., T.H., L.R., J.J.G., R.D.B., L.M.P., Q.S.); and Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland (J.P.H.)
| | - Joseph P Hanig
- Division of Systems Biology, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, Arkansas (J.C.F., V.V., T.H., L.R., J.J.G., R.D.B., L.M.P., Q.S.); and Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland (J.P.H.)
| | - Tao Han
- Division of Systems Biology, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, Arkansas (J.C.F., V.V., T.H., L.R., J.J.G., R.D.B., L.M.P., Q.S.); and Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland (J.P.H.)
| | - Lijun Ren
- Division of Systems Biology, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, Arkansas (J.C.F., V.V., T.H., L.R., J.J.G., R.D.B., L.M.P., Q.S.); and Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland (J.P.H.)
| | - James J Greenhaw
- Division of Systems Biology, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, Arkansas (J.C.F., V.V., T.H., L.R., J.J.G., R.D.B., L.M.P., Q.S.); and Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland (J.P.H.)
| | - Richard D Beger
- Division of Systems Biology, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, Arkansas (J.C.F., V.V., T.H., L.R., J.J.G., R.D.B., L.M.P., Q.S.); and Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland (J.P.H.)
| | - Lisa M Pence
- Division of Systems Biology, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, Arkansas (J.C.F., V.V., T.H., L.R., J.J.G., R.D.B., L.M.P., Q.S.); and Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland (J.P.H.)
| | - Qiang Shi
- Division of Systems Biology, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, Arkansas (J.C.F., V.V., T.H., L.R., J.J.G., R.D.B., L.M.P., Q.S.); and Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland (J.P.H.)
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40
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Chen KF, Milgrom P, Lin YS. Silver Diamine Fluoride in Children Using Physiologically Based PK Modeling. J Dent Res 2020; 99:907-913. [PMID: 32374712 DOI: 10.1177/0022034520917368] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Silver diamine fluoride (SDF) is used topically to prevent or arrest dental caries and has been tested clinically in toddlers to elderly adults. Following SDF application, small quantities of silver can be swallowed and absorbed. To monitor silver concentrations, pharmacokinetic studies can be performed. However, pharmacokinetic studies are time-consuming, resource intensive, and challenging to perform in young children. The objective of this study was to develop a physiologically based pharmacokinetic (PBPK) model to predict silver disposition in children. The PBPK model for silver was developed using Simcyp software (version 17.0) based on information obtained from literature sources. The predictive performance of the model was assessed by comparing the predicted PK profiles and parameters with the observed data from published rat and human data following intravenous or oral silver administration. The predicted silver concentrations were within 2-fold of observed blood and tissue silver concentrations in rats and within the 95% confidence interval of observed plasma silver concentrations in healthy human adults. The PBPK model was applied to the pediatric population by accounting for developmental physiological changes. For a given SDF dose, the simulated peak silver concentrations were 5.2-, 4.3-, 2.7-, and 1.3-fold higher in children aged 1 to 2, 2 to 4, 5 to 10, and 12 to 17 y, respectively, compared to adults. As silver is reportedly excreted in the bile, the half-life of silver was comparable in all ages and plasma and tissue silver concentrations were predicted to return to baseline levels within 2 wk after SDF application. The simulation in children suggests that conventional SDF application to teeth to prevent or arrest dental caries results in plasma and tissue silver concentrations lower than toxic concentrations. PBPK modeling offers a novel approach to studying dental exposures in younger children, where pharmacokinetic studies would be difficult to conduct.
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Affiliation(s)
- K-F Chen
- Department of Pharmaceutics, University of Washington, Seattle, WA, USA
| | - P Milgrom
- Department of Oral Health Sciences, University of Washington, Seattle, WA, USA
| | - Y S Lin
- Department of Pharmaceutics, University of Washington, Seattle, WA, USA
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41
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Mohamed MF, Rakhmanina N, Hassan HE. Inclusion of Adolescents With Adults in Phase 3 Clinical Trials: Overview of the Current State and a Call for Action. J Clin Pharmacol 2020; 60:559-562. [DOI: 10.1002/jcph.1591] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2020] [Accepted: 01/23/2020] [Indexed: 12/25/2022]
Affiliation(s)
- Mohamed‐Eslam F. Mohamed
- Public Policy Committee of the American College of Clinical Pharmacology Ashburn Virginia USA
- AbbVie North Chicago Illinois USA
| | - Natella Rakhmanina
- Children's National HospitalThe George Washington University Washington DC USA
- Elizabeth Glaser Pediatric AIDS Foundation Washington DC USA
| | - Hazem E. Hassan
- Public Policy Committee of the American College of Clinical Pharmacology Ashburn Virginia USA
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42
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Population Pharmacokinetics and Dosing of Ethionamide in Children with Tuberculosis. Antimicrob Agents Chemother 2020; 64:AAC.01984-19. [PMID: 31871093 DOI: 10.1128/aac.01984-19] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2019] [Accepted: 12/12/2019] [Indexed: 12/23/2022] Open
Abstract
Ethionamide has proven efficacy against both drug-susceptible and some drug-resistant strains of Mycobacterium tuberculosis Limited information on its pharmacokinetics in children is available, and current doses are extrapolated from weight-based adult doses. Pediatric doses based on more robust evidence are expected to improve antituberculosis treatment, especially in small children. In this analysis, ethionamide concentrations in children from 2 observational clinical studies conducted in Cape Town, South Africa, were pooled. All children received ethionamide once daily at a weight-based dose of approximately 20 mg/kg of body weight (range, 10.4 to 25.3 mg/kg) in combination with other first- or second-line antituberculosis medications and with antiretroviral therapy in cases of HIV coinfection. Pharmacokinetic parameters were estimated using nonlinear mixed-effects modeling. The MDR-PK1 study contributed data for 110 children on treatment for multidrug-resistant tuberculosis, while the DATiC study contributed data for 9 children treated for drug-susceptible tuberculosis. The median age of the children in the studies combined was 2.6 years (range, 0.23 to 15 years), and the median weight was 12.5 kg (range, 2.5 to 66 kg). A one-compartment, transit absorption model with first-order elimination best described ethionamide pharmacokinetics in children. Allometric scaling of clearance (typical value, 8.88 liters/h), the volume of distribution (typical value, 21.4 liters), and maturation of clearance and absorption improved the model fit. HIV coinfection decreased the ethionamide bioavailability by 22%, rifampin coadministration increased clearance by 16%, and ethionamide administration by use of a nasogastric tube increased the rate, but the not extent, of absorption. The developed model was used to predict pediatric doses achieving the same drug exposure achieved in 50- to 70-kg adults receiving 750-mg once-daily dosing. Based on model predictions, we recommend a weight-banded pediatric dosing scheme using scored 125-mg tablets.
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43
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Adiwidjaja J, Boddy AV, McLachlan AJ. Implementation of a Physiologically Based Pharmacokinetic Modeling Approach to Guide Optimal Dosing Regimens for Imatinib and Potential Drug Interactions in Paediatrics. Front Pharmacol 2020; 10:1672. [PMID: 32082165 PMCID: PMC7002565 DOI: 10.3389/fphar.2019.01672] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2019] [Accepted: 12/23/2019] [Indexed: 12/18/2022] Open
Abstract
Long-term use of imatinib is effective and well-tolerated in children with chronic myeloid leukaemia (CML) yet defining an optimal dosing regimen for imatinib in younger patients is a challenge. The potential interactions between imatinib and coadministered drugs in this "special" population also remains largely unexplored. This study implements a physiologically based pharmacokinetic (PBPK) modeling approach to investigate optimal dosing regimens and potential drug interactions with imatinib in the paediatric population. A PBPK model for imatinib was developed in the Simcyp Simulator (version 17) utilizing in silico, in vitro drug metabolism, and in vivo pharmacokinetic data and verified using an independent set of published clinical pharmacokinetic data. The model was then extrapolated to children and adolescents (aged 2-18 years) by incorporating developmental changes in organ size and maturation of drug-metabolising enzymes and plasma protein responsible for imatinib disposition. The PBPK model described imatinib pharmacokinetics in adult and paediatric populations and predicted drug interaction with carbamazepine, a cytochrome P450 (CYP)3A4 and 2C8 inducer, with a good accuracy (evaluated by visual inspections of the simulation results and predicted pharmacokinetic parameters that were within 1.25-fold of the clinically observed values). The PBPK simulation suggests that the optimal dosing regimen range for imatinib is 230-340 mg/m2/d in paediatrics, which is supported by the recommended initial dose for treatment of childhood CML. The simulations also highlighted that children and adults being treated with imatinib have similar vulnerability to CYP modulations. A PBPK model for imatinib was successfully developed with an excellent performance in predicting imatinib pharmacokinetics across age groups. This PBPK model is beneficial to guide optimal dosing regimens for imatinib and predict drug interactions with CYP modulators in the paediatric population.
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Affiliation(s)
- Jeffry Adiwidjaja
- Sydney Pharmacy School, The University of Sydney, Sydney, NSW, Australia
| | - Alan V. Boddy
- School of Pharmacy and Medical Sciences, University of South Australia, Adelaide, SA, Australia
- University of South Australia Cancer Research Institute, University of South Australia, Adelaide, SA, Australia
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44
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Multicenter-Based Population Pharmacokinetic Analysis of Ciclosporin in Hematopoietic Stem Cell Transplantation Patients. Pharm Res 2019; 37:15. [PMID: 31873806 DOI: 10.1007/s11095-019-2740-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2019] [Accepted: 11/25/2019] [Indexed: 12/13/2022]
Abstract
PURPOSE To explore the contribution of physiological characteristics to variability in ciclosporin pharmacokinetics in hematopoietic stem cell transplantation patients. METHODS Clinical data from 563 patients were collected from centers in three regions. Ciclosporin concentrations were measured using immunoassays. The patients' demographics, hematological and biological indicators, coadministered drugs, region, and disease diagnosis were recorded from medical records. Data analysis was performed using NONMEM based on a one-compartment model to describe the pharmacokinetics of ciclosporin. The reliability and stability of the final model were evaluated using bootstrap resampling, goodness-of-fit plots, and prediction-corrected visual predictive checks. RESULTS The population estimate of the clearance (CL) was 30.4 L/h, the volume of distribution (V) was 874.0 L and the bioavailability (F) was 81.1%. The between-subject variability in these parameters was 26.3, 68.0, and 110.8%, respectively. Coadministration of fluconazole, itraconazole, or voriconazole decreased CL by 17.6%, 28.4%, and 29.2%, respectively. Females' CL increased by approximately 12.0%. In addition, CL and V decreased with hematocrit, total protein, and uric acid increase, and CL also decreased with age and aspartate aminotransferase increase. However, CL increased with creatinine clearance increase. CONCLUSIONS A multicenter-based population pharmacokinetic model of ciclosporin was established. The pharmacokinetics of ciclosporin exhibited discrepancies among different regions.
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45
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Gastine S, Rashed AN, Hsia Y, Jackson C, Barker CIS, Mathur S, Tomlin S, Lutsar I, Bielicki J, Standing JF, Sharland M. GAPPS (Grading and Assessment of Pharmacokinetic-Pharmacodynamic Studies) a critical appraisal system for antimicrobial PKPD studies - development and application in pediatric antibiotic studies. Expert Rev Clin Pharmacol 2019; 12:1091-1098. [PMID: 31747323 DOI: 10.1080/17512433.2019.1695600] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Introduction: There are limited data on optimal dosing of antibiotics in different age groups for neonates and children. Clinicians usually consult pediatric formularies or online databases for dose selection, but these have variable recommendations, are usually based on expert opinion and are not graded based on the existing pharmacokinetic-pharmacodynamic (PKPD) studies. We describe here a potential new tool that could be used to grade the strength of evidence emanating from PKPD studies.Areas covered: A scoring system was developed (GAPPS tool) to quantify the strength of each PK assessment and rate the studies quality in already published articles. GAPPS was evaluated by applying it to pediatric PKPD studies of antibiotics from the 2019 Essential Medicines List for children (EMLC), identified through a search of PubMed.Expert opinion: Evidence for most antibiotic dose selection decisions was generally weak, coming from individual PK studies and lacked PKPD modeling and simulations. However, the quality of evidence appears to have improved over the last two decades.Incorporating a formal grading system, such as GAPPS, into formulary development will provide a transparent tool to support decision-making in clinical practice and guideline development, and guide PKPD authors on study designs most likely to influence guidelines.
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Affiliation(s)
- Silke Gastine
- UCL Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Asia N Rashed
- Pharmacy Department, Evelina London Children's Hospital, Guy's and St Thomas' NHS Foundation Trust, London, UK.,Institute of Pharmaceutical Science, King's College London, London, UK
| | - Yingfen Hsia
- Paediatric Infectious Diseases Research Group, Institute for Infection and Immunity, St George's, University of London, London, UK.,School of Pharmacy, Queen's University Belfast, Belfast, UK
| | - Charlotte Jackson
- Paediatric Infectious Diseases Research Group, Institute for Infection and Immunity, St George's, University of London, London, UK
| | - Charlotte I S Barker
- UCL Great Ormond Street Institute of Child Health, University College London, London, UK.,Paediatric Infectious Diseases Research Group, Institute for Infection and Immunity, St George's, University of London, London, UK
| | - Shrey Mathur
- Paediatric Infectious Diseases Research Group, Institute for Infection and Immunity, St George's, University of London, London, UK
| | - Stephen Tomlin
- Pharmacy Department, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
| | - Irja Lutsar
- Department of Microbiology, Faculty of Medicine, University of Tartu, Tartu, Estonia
| | - Julia Bielicki
- Paediatric Infectious Diseases Research Group, Institute for Infection and Immunity, St George's, University of London, London, UK.,Paediatric Pharmacology Group, University of Basel Children's Hospital, Basel, Switzerland
| | - Joseph F Standing
- UCL Great Ormond Street Institute of Child Health, University College London, London, UK.,Paediatric Infectious Diseases Research Group, Institute for Infection and Immunity, St George's, University of London, London, UK.,Pharmacy Department, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
| | - Mike Sharland
- Paediatric Infectious Diseases Research Group, Institute for Infection and Immunity, St George's, University of London, London, UK
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Stass H, Lettieri J, Vanevski KM, Willmann S, James LP, Sullivan JE, Arrieta AC, Bradley JS. Pharmacokinetics, Safety, and Tolerability of Single-Dose Intravenous Moxifloxacin in Pediatric Patients: Dose Optimization in a Phase 1 Study. J Clin Pharmacol 2019; 59:654-667. [PMID: 30681729 PMCID: PMC9252262 DOI: 10.1002/jcph.1358] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2018] [Accepted: 11/25/2018] [Indexed: 09/01/2024]
Abstract
The pharmacokinetics, safety, and tolerability of a single dose of moxifloxacin were characterized in 31 pediatric patients already receiving antibiotics for a suspected or proven infection in an open-label phase 1 study. A dosing strategy for each age cohort (Cohort 1: ≥6 years to ≤14 years; Cohort 2: ≥2 years to <6 years; Cohort 3: >3 month to <2 years) was developed using physiology-based pharmacokinetic modeling combined with a stepwise dosing scheme to obtain a similar exposure to adults receiving 400 mg of moxifloxacin. Doses, adjusted to body weight and age, were gradually escalated from 5 mg/kg in Cohort 1 to 10 mg/kg in Cohort 3 based on interim analysis of the pharmacokinetic and safety data. Plasma and urine samples before and after the 60-minute infusion were collected for the analysis of moxifloxacin and its metabolites using a validated high-pressure liquid chromatography assay with tandem mass spectrometry. Moxifloxacin and metabolite concentrations in plasma were within the ranges observed in adults; however, clearance of all analytes was lower in pediatric patients compared with adults. Population pharmacokinetic analyses using the achieved exposure levels in the 3 age cohorts (with known body weight and clearance) predicted similar efficacy and safety profiles to adults. Moxifloxacin was well tolerated in all pediatric age cohorts. Adverse events related to moxifloxacin were mild or moderate in intensity and showed no correlation with increased weight-adjusted doses. Our findings guided the selection of age-appropriate clinical doses for a subsequent phase 3 clinical trial in pediatric patients with complicated intra-abdominal infections.
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Affiliation(s)
| | | | | | | | - Laura P. James
- Department of Pediatrics, University of Arkansas for Medical Science and Arkansas Children’s Research Institute, Little Rock, AR, USA
| | - Janice E. Sullivan
- University of Louisville/Kosair Charities Pediatric Clinical Research Unit/Norton Children’s Hospital Louisville, KY, USA
| | | | - John S. Bradley
- University of California, San Diego School of Medicine and Rady Children’s Hospital San Diego, San Diego, CA, USA
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Revising Pediatric Vancomycin Dosing Accounting for Nephrotoxicity in a Pharmacokinetic-Pharmacodynamic Model. Antimicrob Agents Chemother 2019; 63:AAC.00067-19. [PMID: 30833429 DOI: 10.1128/aac.00067-19] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2019] [Accepted: 02/20/2019] [Indexed: 12/14/2022] Open
Abstract
This study aimed to suggest an initial pediatric vancomycin dose regimen through population pharmacokinetic-pharmacodynamic modeling. A population pharmacokinetic approach was used to analyze vancomycin concentration-time data from a large pediatric cohort. Pharmacokinetic target attainment for patients with bloodstream isolates was compared with clinical outcome using logistic regression and classification and regression trees. Change in serum creatinine during treatment was used as an indicator of acute nephrotoxicity. Probability of acute kidney injury (50% increase from baseline) or kidney failure (75% increase from baseline) was evaluated using logistic regression. An initial dosing regimen was derived, personalized by age, weight, and serum creatinine, using stochastic simulations. Data from 785 hospitalized pediatric patients (1 day to 21 years of age) with suspected Gram-positive infections were collected. Estimated (relative standard error) typical clearance, volume of distribution 1, intercompartmental clearance, and volume of distribution 2 were (standardized to 70 kg) 4.84 (2.38) liters/h, 39.9 (8.15) liters, 3.85 (17.3) liters/h, and 37.8 (10.2) liters, respectively. While cumulative vancomycin exposure correlated positively with the development of nephrotoxicity (713 patients), no clear relationship between vancomycin area under the plasma concentration-time curve and efficacy was found (102 patients). Predicted probability of acute kidney injury and kidney failure with the optimized dosing regimen at day 5 was 10 to 15% and 5 to 10%, increasing by approximately 50% on day 7 and roughly 100% on day 10 across all age groups. This study presents the first data-driven pediatric dose selection to date accounting for nephrotoxicity, and it indicates that cumulative vancomycin exposure best describes risk of acute kidney injury and acute kidney failure.
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Zimmerman KO, Benjamin DK, Becker ML, Anand R, Hornik CP. Product Labeling of Drugs Commonly Administered to Children and Adults with Obesity. PHARMACEUTICAL REGULATORY AFFAIRS : OPEN ACCESS 2019; 8:219. [PMID: 37220561 PMCID: PMC10201954] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Abstract
Obesity is a major public health problem that can affect drug disposition and dosing, particularly in vulnerable pediatric populations. Despite potentially detrimental consequences from inappropriately dosed drugs in children with obesity, drug product labels largely fail to include dosing or guidance specific to this population. Failure to include this information results in an increased incidence of adverse events, and concerns from treating physicians regarding their ability to provide appropriate care for children with obesity. Using data from the National Institute of Child Health and Human Development-funded Pediatric Trials Network (PTN), we explore possible ways to improve drug labeling in children with obesity. In order to improve health outcomes of children with obesity, carefully designed and executed PK trials and comprehensive PK analysis strategies are needed. Early collaboration with the Food and Drug Administration may be helpful in developing studies and analyses that are most beneficial for child health. This collaboration is particularly important for drugs that treat potentially life-threatening diseases, where inclusion of PK and dosing on the drug label is vital. We hope that increasing the body of knowledge on drug dosing in children with obesity will open the door to regulatory guidance based on extrapolation or population-specific PK studies, similar to other currently-recognized special populations. Given the magnitude of the pediatric obesity pandemic, recognition as a special population will offer substantial public health value.
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Affiliation(s)
- Kanecia O. Zimmerman
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC
- Department of Pediatrics, Duke University School of Medicine, Durham, NC
| | - Daniel K. Benjamin
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC
- Department of Pediatrics, Duke University School of Medicine, Durham, NC
| | - Mara L. Becker
- Department of Pediatrics, University of Missouri-Kansas City, Kansas City, MO
| | | | - Christoph P. Hornik
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC
- Department of Pediatrics, Duke University School of Medicine, Durham, NC
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Rose K. The Challenges of Pediatric Drug Development. CURRENT THERAPEUTIC RESEARCH 2019; 90:128-134. [PMID: 31388368 PMCID: PMC6677568 DOI: 10.1016/j.curtheres.2019.01.007] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 06/03/2018] [Revised: 01/18/2019] [Accepted: 01/18/2019] [Indexed: 02/07/2023]
Abstract
INTRODUCTION AND BACKGROUND "Pediatric Drug Development" is being used to describe not the development of drugs for children, but rather the planning & conducting separate efficacy and safety (E&S) studies requested/demanded by regulatory authorities designed to produce pediatric labels. Pediatric studies required for drug approval enroll "children"; defined as <17 years of age (US Food and Drug Administration [FDA])/ <18 years (European Union [EU]). The medical rationale for study designs was examined. MATERIAL & METHODS International industry-sponsored pediatric E&S studies registered in www.clinicaltrials.gov were analysed along with the history of US/EU laws, published literature, internet-retrieved regulatory documents, and regulatory/ American Academy of Pediatrics (AAP) justifications for doing separate pediatric E&S studies. RESULTS US/EU regulators utilize an official, but non-physiological definition of childhood based on an age limit of 17/18 years. This definition, which blurs the interface between medicine and law, emerged after clinical studies became required for drug approval in 1962 prompting drug manufacturers to insert pediatric warnings into product information. Intended largely as legal protection against liability, they were interpreted medically. Absorption, distribution, metabolism, excretion mature rapidly. Drug toxicities seen in newborns during the first months of life were cited by AAP/FDA in warnings of dangers of drugs in all "children" including in adolescents who are physiologically no longer children. Warnings were/are exaggerated, exploit/ed parents' protective instincts and fears, and increase/d pediatric clinical trial activity. Conflicts of interest created by this increased activity involve research funding, career status & advancement, commercial profits. DISCUSSION FDA/EMA-requested/demanded "pediatric" studies were identified which lack medical sense at best, others actually harm young patients by impeding use of superior, effective treatments. Separate labels for different indications make medical sense; separate approval in persons above/below 17/18 years of age does not. CONCLUSIONS Pediatric medical research should be restricted to studies which meet important medical needs of all recruited young patients, which generate information that cannot be obtained by other study designs, and do not limit access to superior alternative therapies. Clinical centers, investigators, and IRBs/ECs should more carefully examine studies for unjustified regulatory demands, prevention of subjects' access to superior treatments, and undeclared COI's. Questionable studies should not be approved and ongoing ones should be suspended.
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Vancomycin Pharmacokinetics Throughout Life: Results from a Pooled Population Analysis and Evaluation of Current Dosing Recommendations. Clin Pharmacokinet 2019; 58:767-780. [DOI: 10.1007/s40262-018-0727-5] [Citation(s) in RCA: 48] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
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