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Montepiedra G, Svensson EM, Wong WK, Hooker AC. Optimizing the design of a pharmacokinetic trial to evaluate the dosing scheme of a novel tuberculosis drug in children living with or without HIV. CPT Pharmacometrics Syst Pharmacol 2024; 13:270-280. [PMID: 37946698 PMCID: PMC10864936 DOI: 10.1002/psp4.13077] [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: 07/03/2023] [Revised: 09/25/2023] [Accepted: 10/10/2023] [Indexed: 11/12/2023] Open
Abstract
Pharmacokinetic (PK) studies in children are usually small and have ethical constraints due to the medical complexities of drawing blood in this special population. Often, population PK models for the drug(s) of interest are available in adults, and these models can be extended to incorporate the expected deviations seen in children. As a consequence, there is increasing interest in the use of optimal design methodology to design PK sampling schemes in children that maximize information using a small sample size and limited number of sampling times per dosing period. As a case study, we use the novel tuberculosis drug delamanid, and show how applications of optimal design methodology can result in highly efficient and model-robust designs in children for estimating PK parameters using a limited number of sampling measurements. Using developed population PK models based on available data from adults living with and without HIV, and limited data on children without HIV, competing designs for children living with HIV were derived and assessed based on robustness to model uncertainty.
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Affiliation(s)
| | - Elin M. Svensson
- Department of PharmacyRadboud University Medical CenterNijmegenThe Netherlands
- Department of PharmacyUppsala UniversityUppsalaSweden
| | - Weng Kee Wong
- University of California Los AngelesLos AngelesCaliforniaUSA
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2
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Siebinga H, de Wit-van der Veen BJ, Stokkel MD, Huitema AD, Hendrikx JJ. Current use and future potential of (physiologically based) pharmacokinetic modelling of radiopharmaceuticals: a review. Am J Cancer Res 2022; 12:7804-7820. [PMID: 36451855 PMCID: PMC9706588 DOI: 10.7150/thno.77279] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Accepted: 10/27/2022] [Indexed: 12/02/2022] Open
Abstract
Rationale: Physiologically based pharmacokinetic (PBPK) and population pharmacokinetic (PK) modelling approaches are widely accepted in non-radiopharmaceutical drug development and research, while there is no major role for these approaches in radiopharmaceutical development yet. In this review, a literature search was performed to specify different research purposes and questions that have previously been answered using both PBPK and population PK modelling for radiopharmaceuticals. Methods: The literature search was performed using the databases PubMed and Embase. Wide search terms included radiopharmaceutical, tracer, radioactivity, physiologically based pharmacokinetic model, PBPK, population pharmacokinetic model and nonlinear mixed-effects model. Results: Eight articles and twenty articles were included for this review based on this literature search for population PK modelling and PBPK modelling, respectively. Included population PK analyses showed to have an added value to develop predictive models for a population and to describe individual variability sources. Main purposes of PBPK models appeared related to optimizing treatment (planning), or more specifically: to find the optimal combination of peptide amount and radioactivity, to optimize treatment planning by reducing the number of measurements, to individualize treatment, to get insights in differences between pre-therapeutic and therapeutic scans or to understand inter-patient differences. Other main research subjects were regarding radiopharmaceutical comparisons, selecting ligands based on their peptide characteristics and gaining a better understanding of drug-drug interactions. Conclusions: The use of PK modelling approaches in radiopharmaceutical research remains scarce, but can be expanded to obtain a better understanding of PK and whole-body distribution of radiopharmaceuticals in general. PK modelling of radiopharmaceuticals has great potential for the nearby future and could contribute to the evolving research of radiopharmaceuticals.
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Affiliation(s)
- Hinke Siebinga
- Department of Pharmacy & Pharmacology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.,Department of Nuclear Medicine, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | | | - Marcel D.M. Stokkel
- Department of Nuclear Medicine, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Alwin D.R. Huitema
- Department of Pharmacy & Pharmacology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.,Department of Clinical Pharmacy, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.,Department of Pharmacology, Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
| | - Jeroen J.M.A. Hendrikx
- Department of Pharmacy & Pharmacology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.,Department of Nuclear Medicine, The Netherlands Cancer Institute, Amsterdam, The Netherlands.,✉ Corresponding author: E-mail: ; Plesmanlaan 121, 1066 CX Amsterdam; Tel.: +31205124481
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Johnson TN, Ke AB. Physiologically Based Pharmacokinetic Modeling and Allometric Scaling in Pediatric Drug Development: Where Do We Draw the Line? J Clin Pharmacol 2021; 61 Suppl 1:S83-S93. [PMID: 34185901 DOI: 10.1002/jcph.1834] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Accepted: 02/12/2021] [Indexed: 11/11/2022]
Abstract
Developing medicines for children is now established in legislation in both the United States and Europe; new drugs require pediatric study or investigation plans as part of their development. Particularly in early age groups, many developmental processes are not reflected by simple scalars such as body weight or body surface area, and even projecting doses based on simple allometric scaling can lead to significant overdoses in certain age groups. Modeling and simulation methodology, including physiologically based modeling, has evolved as part of the drug development toolkit and is being increasingly applied to various aspects of pediatric drug development. Pediatric physiologically based pharmacokinetic (PBPK) models account for the development of organs and the ontogeny of specific enzymes and transporters that determine the age-related pharmacokinetic profiles. However, when should this approach be used, and when will simpler methods such as allometric scaling suffice in answering specific problems? The aim of this review article is to illustrate the application of allometric scaling and PBPK in pediatric drug development and explore the optimal application of the latter approach with reference to case examples. In reality, allometric scaling included as part of population pharmacokinetic and PBPK approaches are all part of a model-informed drug development toolkit helping with decision making during the process of drug discovery and development; to that end, they should be viewed as complementary.
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Affiliation(s)
| | - Alice B Ke
- Certara USA, Inc., Princeton, New Jersey, USA
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4
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Antiviral activities of Janus-type nucleosides and their related oxime-intermediates. Bioorg Med Chem 2018; 27:2332-2339. [PMID: 30578076 DOI: 10.1016/j.bmc.2018.12.014] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2018] [Revised: 12/05/2018] [Accepted: 12/07/2018] [Indexed: 02/05/2023]
Abstract
Herpes simplex virus (HSV) infection has been recognized as the most common mucosal disease in humans, manifesting as a life-threatening infection especially for patients with compromised immunity. When combined with the emergence of resistance due to the long-term use of classical antiviral agents, these threats make novel therapeutics for HSV a clinically necessity. We therefore designed and synthesized a series of Janus-type nucleosides by combining the natural genetic alphabets into a singular nucleoside structural unit. We also synthesized a series of new compounds and systematically evaluated their antiviral activity and structure-antiviral activity relationship. The results indicated that both nucleosides and their related intermediates exhibited high anti-HSV-1 activity. Compounds HY17 and HY19, in particular, possessed excellent anti-HSV-1 activity with IC50 values of 0.05 and 0.04 µg/mL, respectively. They also showed broad-spectrum antiviral activity against a multitude of diverse viruses, such as HSV-2, influenza virus A (H3N2), CVB3, HBV, HCV, and HPV. These results suggest that once their mechanisms are fully elucidated, these compounds will prove to be promising candidates as antiviral agents.
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Santamaría E, Estévez JA, Riba J, Izquierdo I, Valle M. Population pharmacokinetic modelling of rupatadine solution in 6-11 year olds and optimisation of the experimental design in younger children. PLoS One 2017; 12:e0176091. [PMID: 28419164 PMCID: PMC5395227 DOI: 10.1371/journal.pone.0176091] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2017] [Accepted: 04/05/2017] [Indexed: 11/18/2022] Open
Abstract
AIMS To optimise a pharmacokinetic (PK) study design of rupatadine for 2-5 year olds by using a population PK model developed with data from a study in 6-11 year olds. The design optimisation was driven by the need to avoid children's discomfort in the study. METHODS PK data from 6-11 year olds with allergic rhinitis available from a previous study were used to construct a population PK model which we used in simulations to assess the dose to administer in a study in 2-5 year olds. In addition, an optimal design approach was used to determine the most appropriate number of sampling groups, sampling days, total samples and sampling times. RESULTS A two-compartmental model with first-order absorption and elimination, with clearance dependent on weight adequately described the PK of rupatadine for 6-11 year olds. The dose selected for a trial in 2-5 year olds was 2.5 mg, as it provided a Cmax below the 3 ng/ml threshold. The optimal study design consisted of four groups of children (10 children each), a maximum sampling window of 2 hours in two clinic visits for drawing three samples on day 14 and one on day 28 coinciding with the final examination of the study. CONCLUSIONS A PK study design was optimised in order to prioritise avoidance of discomfort for enrolled 2-5 year olds by taking only four blood samples from each child and minimising the length of hospital stays.
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Affiliation(s)
- Eva Santamaría
- Clinical Development, R&D, J. Uriach y Compañía, S.A., Barcelona, Spain
- Departament de Farmacologia, de Terapèutica i de Toxicologia, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Javier Alejandro Estévez
- Departament de Farmacologia, de Terapèutica i de Toxicologia, Universitat Autònoma de Barcelona, Barcelona, Spain
- Pharmacokinetic/Pharmacodynamic Modeling and Simulation, CIM-St Pau, Institut de Recerca de l’Hospital de la Santa Creu i Sant Pau-IIB Sant Pau, Barcelona, Spain
| | - Jordi Riba
- Human Neuropsychopharmacology Group, CIM-St Pau, Institut de Recerca de l’Hospital de la Santa Creu i Sant Pau-IIB Sant Pau, Barcelona, Spain
| | - Iñaki Izquierdo
- Clinical Development, R&D, J. Uriach y Compañía, S.A., Barcelona, Spain
| | - Marta Valle
- Departament de Farmacologia, de Terapèutica i de Toxicologia, Universitat Autònoma de Barcelona, Barcelona, Spain
- Pharmacokinetic/Pharmacodynamic Modeling and Simulation, CIM-St Pau, Institut de Recerca de l’Hospital de la Santa Creu i Sant Pau-IIB Sant Pau, Barcelona, Spain
- * E-mail:
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Chen Y, Lu J, Dong M, Wu D, Zhu Y, Li Q, Chen C, Li Z. Target attainment analysis and optimal sampling designs for population pharmacokinetic study on piperacillin/tazobactam in neonates and young infants. Eur J Clin Pharmacol 2016; 72:1479-1488. [PMID: 27644691 DOI: 10.1007/s00228-016-2131-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2016] [Accepted: 09/08/2016] [Indexed: 10/21/2022]
Abstract
OBJECTIVES Population pharmacokinetic (popPK) analyses for piperacillin/tazobactam in neonates and infants of less than 2 months of age have been performed by our group previously. The results indicate that a dose of 44.44/5.56 mg/kg piperacillin/tazobactam every 8 or 12 h may not be enough for controlling infection in this population. In order to determine the appropriate dosing regimen and to provide a rationale for the development of dosing guidelines suitable for this population, further popPK studies of piperacillin/tazobactam would need to be conducted. The aim of the present study was to determine the appropriate dosing regimen and optimal sampling schedules in neonates and infants of less than 2 months of age. METHODS Pharmacodynamic profiling of piperacillin using Monte Carlo simulation was performed to explore the target attainment probability of different dosing regimens for infections caused by different isolated pathogens. D-optimal designs for piperacillin and tazobactam were conducted separately, and the times that overlapped were chosen as the final sampling scheme for future popPK studies in neonates and young infants of less than 2 months of age. RESULTS Our findings revealed that compared to the current empirical piperacillin/tazobactam dose regimen (50 mg/kg every 12 h by 5-min infusion in our hospital), the clinical outcome could be improved by increasing doses, increasing administration frequency, and prolonging intravenous infusion in neonates and infants of less than 2 months of age. The following optimal sampling windows were chosen as the final sampling scheme: 0.1-0.11, 0.26-0.29, 0.97-2.62, and 7.95-11.9 h administered every 12 h with 5-min infusion; 0.1-0.12, 0.39-0.56, 2.86-4.95, and 8.91-11.8 h administered every 12 h with 3-h infusion; 0.1-0.11, 0.22-0.29, 0.91-1.96, and 5.56-7.93 h administered every 8 h with 5-min infusion; 0.1-0.11, 0.38-0.48, 2.54-3.82, and 6.86-7.93 h administered every 8 h with 3-h infusion; 0.1-0.11, 0.25-0.28, 0.84-1.69, and 4.55-5.94 h administered every 6 h with 5-min infusion; and 0.1-0.11, 0.37-0.54, 3.13-3.72, and 5.57-5.99 h administered every 6 h with 3-h infusion. CONCLUSIONS The dosing regimen and sampling schedules proposed in this study should be evaluated in future popPK studies of piperacillin/tazobactam in neonates and infants. To the best of our knowledge, this is the first study that combined optimal sampling design with Monte Carlo simulation for designing popPK studies of piperacillin/tazobactam.
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Affiliation(s)
- Yewei Chen
- Department of Pharmacy, Children's Hospital of Fudan University, 399 Wanyuan Road, Shanghai, 201102, China
| | - Jinmiao Lu
- Department of Pharmacy, Children's Hospital of Fudan University, 399 Wanyuan Road, Shanghai, 201102, China
| | - Min Dong
- Division of Clinical Pharmacology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Dan Wu
- Department of Pharmacy, Children's Hospital of Fudan University, 399 Wanyuan Road, Shanghai, 201102, China
| | - Yiqing Zhu
- Department of Pharmacy, Children's Hospital of Fudan University, 399 Wanyuan Road, Shanghai, 201102, China
| | - Qin Li
- Department of Pharmacy, Children's Hospital of Fudan University, 399 Wanyuan Road, Shanghai, 201102, China
| | - Chao Chen
- Department of Neonatology, Children's Hospital of Fudan University, Shanghai, China
| | - Zhiping Li
- Department of Pharmacy, Children's Hospital of Fudan University, 399 Wanyuan Road, Shanghai, 201102, China.
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7
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Brussee JM, Calvier EAM, Krekels EHJ, Välitalo PAJ, Tibboel D, Allegaert K, Knibbe CAJ. Children in clinical trials: towards evidence-based pediatric pharmacotherapy using pharmacokinetic-pharmacodynamic modeling. Expert Rev Clin Pharmacol 2016; 9:1235-44. [PMID: 27269200 DOI: 10.1080/17512433.2016.1198256] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
INTRODUCTION In pediatric pharmacotherapy, many drugs are still used off-label, and their efficacy and safety is not well characterized. Different efficacy and safety profiles in children of varying ages may be anticipated, due to developmental changes occurring across pediatric life. AREAS COVERED Beside pharmacokinetic (PK) studies, pharmacodynamic (PD) studies are urgently needed. Validated PKPD models can be used to derive optimal dosing regimens for children of different ages, which can be evaluated in a prospective study before implementation in clinical practice. Strategies should be developed to ensure that formularies update their drug dosing guidelines regularly according to the most recent advances in research, allowing for clinicians to integrate these guidelines in daily practice. Expert commentary: We anticipate a trend towards a systems-level approach in pediatric modeling to optimally use the information gained in pediatric trials. For this approach, properly designed clinical PKPD studies will remain the backbone of pediatric research.
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Affiliation(s)
- Janneke M Brussee
- a Division of Pharmacology, Leiden Academic Centre for Drug Research , Leiden University , Leiden , The Netherlands
| | - Elisa A M Calvier
- a Division of Pharmacology, Leiden Academic Centre for Drug Research , Leiden University , Leiden , The Netherlands
| | - Elke H J Krekels
- a Division of Pharmacology, Leiden Academic Centre for Drug Research , Leiden University , Leiden , The Netherlands
| | - Pyry A J Välitalo
- a Division of Pharmacology, Leiden Academic Centre for Drug Research , Leiden University , Leiden , The Netherlands
| | - Dick Tibboel
- b Intensive Care and Department of Surgery , Erasmus MC-Sophia Children's Hospital , Rotterdam , The Netherlands
| | - Karel Allegaert
- b Intensive Care and Department of Surgery , Erasmus MC-Sophia Children's Hospital , Rotterdam , The Netherlands.,c Department of Development and Regeneration , KU Leuven , Leuven , Belgium
| | - Catherijne A J Knibbe
- a Division of Pharmacology, Leiden Academic Centre for Drug Research , Leiden University , Leiden , The Netherlands.,d Department of Clinical Pharmacy , St. Antonius Hospital , Nieuwegein , The Netherlands
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8
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Bellanti F, Di Iorio VL, Danhof M, Della Pasqua O. Sampling Optimization in Pharmacokinetic Bridging Studies: Example of the Use of Deferiprone in Children With β-Thalassemia. J Clin Pharmacol 2016; 56:1094-103. [PMID: 26785826 DOI: 10.1002/jcph.708] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2015] [Accepted: 01/13/2016] [Indexed: 01/19/2023]
Abstract
Despite wide clinical experience with deferiprone, the optimum dosage in children younger than 6 years remains to be established. This analysis aimed to optimize the design of a prospective clinical study for the evaluation of deferiprone pharmacokinetics in children. A 1-compartment model with first-order oral absorption was used for the purposes of the analysis. Different sampling schemes were evaluated under the assumption of a constrained population size. A sampling scheme with 5 samples per subject was found to be sufficient to ensure accurate characterization of the pharmacokinetics of deferiprone. Whereas the accuracy of parameters estimates was high, precision was slightly reduced because of the small sample size (CV% >30% for Vd/F and KA). Mean AUC ± SD was found to be 33.4 ± 19.2 and 35.6 ± 20.2 mg · h/mL, and mean Cmax ± SD was found to be 10.2 ± 6.1 and 10.9 ± 6.7 mg/L based on sparse and frequent sampling, respectively. The results showed that typical frequent sampling schemes and sample sizes do not warrant accurate model and parameter identifiability. Expectation of the determinant (ED) optimality and simulation-based optimization concepts can be used to support pharmacokinetic bridging studies. Of importance is the accurate estimation of the magnitude of the covariate effects, as they partly determine the dose recommendation for the population of interest.
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Affiliation(s)
- Francesco Bellanti
- Division of Pharmacology, Leiden Academic Centre for Drug Research, London, UK
| | | | - Meindert Danhof
- Division of Pharmacology, Leiden Academic Centre for Drug Research, London, UK
| | - Oscar Della Pasqua
- Division of Pharmacology, Leiden Academic Centre for Drug Research, London, UK.,Clinical Pharmacology Modelling & Simulation, GlaxoSmithKline, Stockley Park, UK.,Clinical Pharmacology & Therapeutics, University College London, London, UK
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9
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Abstract
Herpes simplex virus (HSV), a member of the Herpesviridae family, is a significant human pathogen that results in mucocutaneous lesions in the oral cavity or genital infections. Acyclovir (ACV) and related nucleoside analogues can successfully treat HSV infections, but the emergence of drug resistance to ACV has created a barrier for the treatment of HSV infections, especially in immunocompromised patients. There is an urgent need to explore new and effective tactics to circumvent drug resistance to HSV. This review summarises the current strategies in the development of new targets (the DNA helicase/primase (H/P) complex), new types of molecules (nature products) and new antiviral mechanisms (lethal mutagenesis of Janus-type nucleosides) to fight the drug resistance of HSV.
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10
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Clyburne-Sherin AVP, Thurairajah P, Kapadia MZ, Sampson M, Chan WWY, Offringa M. Recommendations and evidence for reporting items in pediatric clinical trial protocols and reports: two systematic reviews. Trials 2015; 16:417. [PMID: 26385379 PMCID: PMC4574457 DOI: 10.1186/s13063-015-0954-0] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2015] [Accepted: 09/11/2015] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Complete and transparent reporting of clinical trial protocols and reports ensures that these documents are useful to all stakeholders, that bias is minimized, and that the research is not wasted. However, current studies repeatedly conclude that pediatric trial protocols and reports are not appropriately reported. Guidelines like SPIRIT (Standard Protocol Items: Recommendations for Interventional Trials) and CONSORT (Consolidated Standards of Reporting Trials) may improve reporting, but do not offer guidance on issues unique to pediatric trials. This paper reports two systematic reviews conducted to build the evidence base for the development of pediatric reporting guideline extensions: 1) SPIRIT-Children (SPIRIT-C) for pediatric trial protocols, and 2) CONSORT-Children (CONSORT-C) for pediatric trial reports. METHOD MEDLINE, the Cochrane Methodology Register, and reference lists of included studies were searched. Publications of any type were eligible if they included explicit recommendations or empirical evidence for the reporting of potential items in a pediatric protocol (SPIRIT-C systematic review) or trial report (CONSORT-C systematic review). Study characteristics, recommendations and evidence for pediatric extension items were extracted. Recurrent themes in the recommendations and evidence were identified and synthesized. All steps were conducted by two reviewers. RESULTS For the SPIRIT-C and CONSORT-C systematic reviews 366 and 429 publications were included, respectively. Recommendations were identified for 48 of 50 original reporting items and sub-items from SPIRIT, 15 of 20 potential SPIRIT-C reporting items, all 37 original CONSORT items and sub-items, and 16 of 22 potential CONSORT-C reporting items. The following overarching themes of evidence to support or refute the utility of reporting items were identified: transparency; reproducibility; interpretability; usefulness; internal validity; external validity; reporting bias; publication bias; accountability; scientific soundness; and research ethics. CONCLUSION These systematic reviews are the first to systematically gather evidence and recommendations for the reporting of specific items in pediatric protocols and trials. They provide useful and translatable evidence on which to build pediatric extensions to the SPIRIT and CONSORT reporting guidelines. The resulting SPIRIT-C and CONSORT-C will provide guidance to the authors of pediatric protocols and reports, respectively, helping to alleviate concerns of inappropriate and inconsistent reporting, and reduce research waste.
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Affiliation(s)
- April V P Clyburne-Sherin
- The Hospital for Sick Children, Peter Gilgan Centre for Research and Learning, SickKids Research Institute, Child Health Evaluative Sciences, 686 Bay Street, Toronto, ON, M5G 0A4, Canada.
| | - Pravheen Thurairajah
- The Hospital for Sick Children, Peter Gilgan Centre for Research and Learning, SickKids Research Institute, Child Health Evaluative Sciences, 686 Bay Street, Toronto, ON, M5G 0A4, Canada.
| | - Mufiza Z Kapadia
- The Hospital for Sick Children, Peter Gilgan Centre for Research and Learning, SickKids Research Institute, Child Health Evaluative Sciences, 686 Bay Street, Toronto, ON, M5G 0A4, Canada.
| | - Margaret Sampson
- Children's Hospital of Eastern Ontario, 401 Smyth Road, Ottawa, ON, K1H 8L1, Canada.
| | - Winnie W Y Chan
- The Hospital for Sick Children, Peter Gilgan Centre for Research and Learning, SickKids Research Institute, Child Health Evaluative Sciences, 686 Bay Street, Toronto, ON, M5G 0A4, Canada.
| | - Martin Offringa
- The Hospital for Sick Children, Peter Gilgan Centre for Research and Learning, SickKids Research Institute, Child Health Evaluative Sciences, 686 Bay Street, Toronto, ON, M5G 0A4, Canada. .,Senior Scientist and Program Head Child Health Evaluative Sciences, The Hospital for Sick Children, Peter Gilgan Centre for Research and Learning, SickKids Research Institute, 686 Bay Street, Toronto, ON, M5G 0A4, Canada.
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Roberts JK, Stockmann C, Balch A, Yu T, Ward RM, Spigarelli MG, Sherwin CMT. Optimal design in pediatric pharmacokinetic and pharmacodynamic clinical studies. Paediatr Anaesth 2015; 25:222-30. [PMID: 25580772 DOI: 10.1111/pan.12575] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/23/2014] [Indexed: 11/30/2022]
Abstract
It is not trivial to conduct clinical trials with pediatric participants. Ethical, logistical, and financial considerations add to the complexity of pediatric studies. Optimal design theory allows investigators the opportunity to apply mathematical optimization algorithms to define how to structure their data collection to answer focused research questions. These techniques can be used to determine an optimal sample size, optimal sample times, and the number of samples required for pharmacokinetic and pharmacodynamic studies. The aim of this review is to demonstrate how to determine optimal sample size, optimal sample times, and the number of samples required from each patient by presenting specific examples using optimal design tools. Additionally, this review aims to discuss the relative usefulness of sparse vs rich data. This review is intended to educate the clinician, as well as the basic research scientist, whom plan on conducting a pharmacokinetic/pharmacodynamic clinical trial in pediatric patients.
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Affiliation(s)
- Jessica K Roberts
- Division of Clinical Pharmacology, Department of Pediatrics, School of Medicine, University of Utah, Salt Lake City, UT, USA
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12
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Barker CIS, Germovsek E, Hoare RL, Lestner JM, Lewis J, Standing JF. Pharmacokinetic/pharmacodynamic modelling approaches in paediatric infectious diseases and immunology. Adv Drug Deliv Rev 2014; 73:127-39. [PMID: 24440429 PMCID: PMC4076844 DOI: 10.1016/j.addr.2014.01.002] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2013] [Revised: 12/09/2013] [Accepted: 01/11/2014] [Indexed: 02/02/2023]
Abstract
Pharmacokinetic/pharmacodynamic (PKPD) modelling is used to describe and quantify dose-concentration-effect relationships. Within paediatric studies in infectious diseases and immunology these methods are often applied to developing guidance on appropriate dosing. In this paper, an introduction to the field of PKPD modelling is given, followed by a review of the PKPD studies that have been undertaken in paediatric infectious diseases and immunology. The main focus is on identifying the methodological approaches used to define the PKPD relationship in these studies. The major findings were that most studies of infectious diseases have developed a PK model and then used simulations to define a dose recommendation based on a pre-defined PD target, which may have been defined in adults or in vitro. For immunological studies much of the modelling has focused on either PK or PD, and since multiple drugs are usually used, delineating the relative contributions of each is challenging. The use of dynamical modelling of in vitro antibacterial studies, and paediatric HIV mechanistic PD models linked with the PK of all drugs, are emerging methods that should enhance PKPD-based recommendations in the future.
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Affiliation(s)
- Charlotte I S Barker
- Paediatric Infectious Diseases Research Group, Division of Clinical Sciences, St George's, University of London, Cranmer Terrace, London SW17 0RE, UK; Infectious Diseases and Microbiology Unit, University College London, Institute of Child Health, London WC1N 1EH, UK
| | - Eva Germovsek
- Infectious Diseases and Microbiology Unit, University College London, Institute of Child Health, London WC1N 1EH, UK
| | - Rollo L Hoare
- Infectious Diseases and Microbiology Unit, University College London, Institute of Child Health, London WC1N 1EH, UK; CoMPLEX, University College London, Physics Building, Gower Street, London WC1E 6BT, UK
| | - Jodi M Lestner
- Paediatric Infectious Diseases Research Group, Division of Clinical Sciences, St George's, University of London, Cranmer Terrace, London SW17 0RE, UK; Faculty of Medicine, Imperial College London, London, UK
| | - Joanna Lewis
- Infectious Diseases and Microbiology Unit, University College London, Institute of Child Health, London WC1N 1EH, UK; CoMPLEX, University College London, Physics Building, Gower Street, London WC1E 6BT, UK
| | - Joseph F Standing
- Infectious Diseases and Microbiology Unit, University College London, Institute of Child Health, London WC1N 1EH, UK; CoMPLEX, University College London, Physics Building, Gower Street, London WC1E 6BT, UK.
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Physiologically based pharmacokinetic modelling of methotrexate and 6-mercaptopurine in adults and children. Part 2: 6-mercaptopurine and its interaction with methotrexate. J Pharmacokinet Pharmacodyn 2014; 41:173-85. [DOI: 10.1007/s10928-014-9355-3] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2013] [Accepted: 03/06/2014] [Indexed: 10/25/2022]
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van Hasselt JGC, van Eijkelenburg NKA, Beijnen JH, Schellens JHM, Huitema ADR. Optimizing drug development of anti-cancer drugs in children using modelling and simulation. Br J Clin Pharmacol 2014; 76:30-47. [PMID: 23216601 DOI: 10.1111/bcp.12062] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2012] [Accepted: 11/30/2012] [Indexed: 01/04/2023] Open
Abstract
Modelling and simulation (M&S)-based approaches have been proposed to support paediatric drug development in order to design and analyze clinical studies efficiently. Development of anti-cancer drugs in the paediatric population is particularly challenging due to ethical and practical constraints. We aimed to review the application of M&S in the development of anti-cancer drugs in the paediatric population, and to identify where M&S-based approaches could provide additional support in paediatric drug development of anti-cancer drugs. A structured literature search on PubMed was performed. The majority of identified M&S-based studies aimed to use population PK modelling approaches to identify determinants of inter-individual variability, in order to optimize dosing regimens and to develop therapeutic drug monitoring strategies. Prospective applications of M&S approaches for PK-bridging studies have scarcely been reported for paediatric oncology. Based on recent developments of M&S in drug development there are several opportunities where M&S could support more informative bridging between children and adults, and increase efficiency of the design and analysis of paediatric clinical trials, which should ultimately lead to further optimization of drug treatment strategies in this population.
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Affiliation(s)
- Johan G C van Hasselt
- Department of Clinical Pharmacology, Netherlands Cancer Institute; Department of Pharmacy & Pharmacology, Slotervaart Hospital/Netherlands Cancer Institute, Amsterdam, the Netherlands.
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Dumont C, Mentré F, Gaynor C, Brendel K, Gesson C, Chenel M. Optimal sampling times for a drug and its metabolite using SIMCYP(®) simulations as prior information. Clin Pharmacokinet 2013; 52:43-57. [PMID: 23212609 DOI: 10.1007/s40262-012-0022-9] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
BACKGROUND Since 2007, it is mandatory for the pharmaceutical companies to submit a Paediatric Investigation Plan to the Paediatric Committee at the European Medicines Agency for any drug in development in adults, and it often leads to the need to conduct a pharmacokinetic study in children. Pharmacokinetic studies in children raise ethical and methodological issues. Because of limitation of sampling times, appropriate methods, such as the population approach, are necessary for analysis of the pharmacokinetic data. The choice of the pharmacokinetic sampling design has an important impact on the precision of population parameter estimates. Approaches for design evaluation and optimization based on the evaluation of the Fisher information matrix (M(F)) have been proposed and are now implemented in several software packages, such as PFIM in R. OBJECTIVES The objectives of this work were to (1) develop a joint population pharmacokinetic model to describe the pharmacokinetic characteristics of a drug S and its active metabolite in children after intravenous drug administration from simulated plasma concentration-time data produced using physiologically based pharmacokinetic (PBPK) predictions; (2) optimize the pharmacokinetic sampling times for an upcoming clinical study using a multi-response design approach, considering clinical constraints; and (3) evaluate the resulting design taking data below the lower limit of quantification (BLQ) into account. METHODS Plasma concentration-time profiles were simulated in children using a PBPK model previously developed with the software SIMCYP(®) for the parent drug and its active metabolite. Data were analysed using non-linear mixed-effect models with the software NONMEM(®), using a joint model for the parent drug and its metabolite. The population pharmacokinetic design, for the future study in 82 children from 2 to 18 years old, each receiving a single dose of the drug, was then optimized using PFIM, assuming identical times for parent and metabolite concentration measurements and considering clinical constraints. Design evaluation was based on the relative standard errors (RSEs) of the parameters of interest. In the final evaluation of the proposed design, an approach was used to assess the possible effect of BLQ concentrations on the design efficiency. This approach consists of rescaling the M(F), using, at each sampling time, the probability of observing a concentration BLQ computed from Monte-Carlo simulations. RESULTS A joint pharmacokinetic model with three compartments for the parent drug and one for its active metabolite, with random effects on four parameters, was used to fit the simulated PBPK concentration-time data. A combined error model best described the residual variability. Parameters and dose were expressed per kilogram of bodyweight. Reaching a compromise between PFIM results and clinical constraints, the optimal design was composed of four samples at 0.1, 1.8, 5 and 10 h after drug injection. This design predicted RSE lower than 30 % for the four parameters of interest. For this design, rescaling M(F) for BLQ data had very little influence on predicted RSE. CONCLUSION PFIM was a useful tool to find an optimal sampling design in children, considering clinical constraints. Even if it was not forecasted initially by the investigators, this approach showed that it was really necessary to include a late sampling time for all children. Moreover, we described an approach to evaluate designs assuming expected proportions of BLQ data are omitted.
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Affiliation(s)
- Cyrielle Dumont
- Division of Clinical Pharmacokinetics, Institut de Recherches Internationales Servier, Suresnes, France.
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Holford N, Heo YA, Anderson B. A pharmacokinetic standard for babies and adults. J Pharm Sci 2013; 102:2941-52. [PMID: 23650116 DOI: 10.1002/jps.23574] [Citation(s) in RCA: 257] [Impact Index Per Article: 23.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2013] [Revised: 04/12/2013] [Accepted: 04/12/2013] [Indexed: 01/01/2023]
Abstract
The pharmacokinetic behavior of medicines used in humans follows largely predictable patterns across the human age range from premature babies to elderly adults. Most of the differences associated with age are in fact due to differences in size. Additional considerations are required to describe the processes of maturation of clearance processes and postnatal changes in body composition. Application of standard approaches to reporting pharmacokinetic parameters is essential for comparative human pharmacokinetic studies from babies to adults. A standardized comparison of pharmacokinetic parameters obtained in children and adults is shown for 46 drugs. Appropriate size scaling shows that children (over 2 years old) are similar to adults. Maturation changes are generally completed within the first 2 years of postnatal life; consequently babies may be considered as immature children, whereas children are just small adults.
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Affiliation(s)
- Nick Holford
- Department of Pharmacology & Clinical Pharmacology, University of Auckland, New Zealand.
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Schenkel F, Csajka C, Baglivo E, Kondo-Oestreicher M, Dayer P, Gex-Fabry M, Daali Y. Intraocular penetration of penciclovir after oral administration of famciclovir: a population pharmacokinetic model. J Antimicrob Chemother 2013; 68:1635-41. [PMID: 23539240 DOI: 10.1093/jac/dkt064] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
OBJECTIVES We developed a population model that describes the ocular penetration and pharmacokinetics of penciclovir in human aqueous humour and plasma after oral administration of famciclovir. METHODS Fifty-three patients undergoing cataract surgery received a single oral dose of 500 mg of famciclovir prior to surgery. Concentrations of penciclovir in both plasma and aqueous humour were measured by HPLC with fluorescence detection. Concentrations in plasma and aqueous humour were fitted using a two-compartment model (NONMEM software). Inter-individual and intra-individual variabilities were quantified and the influence of demographics and physiopathological and environmental variables on penciclovir pharmacokinetics was explored. RESULTS Drug concentrations were fitted using a two-compartment, open model with first-order transfer rates between plasma and aqueous humour compartments. Among tested covariates, creatinine clearance, co-intake of angiotensin-converting enzyme inhibitors and body weight significantly influenced penciclovir pharmacokinetics. Plasma clearance was 22.8±9.1 L/h and clearance from the aqueous humour was 8.2×10(-5) L/h. AUCs were 25.4±10.2 and 6.6±1.8 μg·h/mL in plasma and aqueous humour, respectively, yielding a penetration ratio of 0.28±0.06. Simulated concentrations in the aqueous humour after administration of 500 mg of famciclovir three times daily were in the range of values required for 50% growth inhibition of non-resistant strains of the herpes zoster virus family. CONCLUSIONS Plasma and aqueous penciclovir concentrations showed significant variability that could only be partially explained by renal function, body weight and comedication. Concentrations in the aqueous humour were much lower than in plasma, suggesting that factors in the blood-aqueous humour barrier might prevent its ocular penetration or that redistribution occurs in other ocular compartments.
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Affiliation(s)
- Fanny Schenkel
- Clinical Pharmacology and Toxicology Service, Geneva University Hospitals and University of Geneva, Geneva, Switzerland
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Abstract
Conducting clinical pharmacology research studies in pediatric patients is challenging because of ethical and practical constraints but necessary to ensure that drugs are used safely and effectively in this population. Developments in laboratory analytical techniques, such as improved assay sensitivity and the use of alternative sample matrices, can reduce blood loss and offer less invasive blood sampling, causing less trauma to the patient and fewer ethical concerns. Recent advances in data analysis techniques, which aim to extract the maximum amount of useful information from small sample numbers, should be considered when planning a clinical trial and incorporated into the study design. Using 'population' methodology allows a more flexible sampling strategy that enables valuable data to be collected in the course of routine clinical practice, rather than in a rigid, and potentially artificial, setting. Integration of pharmacokinetics and pharmacodynamics and the application of physiological approaches and simulation techniques to the analysis and interpretation of drug concentration and effect data offer new opportunities that have particular relevance to pharmacological research in the field of pediatric anesthetics.
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Affiliation(s)
- Alison H Thomson
- Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow, UK.
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Abstract
Pediatric pharmacokinetic and pediatric safety and efficacy studies are, in most cases, a mandatory activity during the drug development process in North America and Europe. Pharmacokinetic modeling in anticipation of the pediatric clinical trial should take a data or knowledge-driven approach by employing either top-down or bottom-up approaches to assessing differential age-related dosing. These two approaches depend on different starting information and are likely to be used in conjunction with each other for the purposes of defining pediatric dosing guidelines. This review primarily focuses on the available bottom-up, mechanistic models for predicting age-dependent drug absorption, distribution and elimination, and their integration through the whole-body physiologically based pharmacokinetic (PBPK) model. The bottom-up approach incorporating adult and pediatric whole-body PBPK models for optimizing age-related dosing is detailed for a drug currently undergoing pediatric development.
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Single-dose pharmacokinetics of famciclovir in infants and population pharmacokinetic analysis in infants and children. Antimicrob Agents Chemother 2010; 54:2032-41. [PMID: 20160046 DOI: 10.1128/aac.01508-09] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
A multicenter, open-label study evaluated the single-dose pharmacokinetics and safety of a pediatric oral famciclovir (prodrug of penciclovir) formulation in infants aged 1 to 12 months with suspicion or evidence of herpes simplex virus infection. Individualized single doses of famciclovir based on the infant's body weight ranged from 25 to 175 mg. Eighteen infants were enrolled (1 to <3 months old [n = 8], 3 to <6 months old [n = 5], and 6 to 12 months old [n = 5]). Seventeen infants were included in the pharmacokinetic analysis; one infant experienced immediate emesis and was excluded. Mean C(max) and AUC(0-6) values of penciclovir in infants <6 months of age were approximately 3- to 4-fold lower than those in the 6- to 12-month age group. Specifically, mean AUC(0-6) was 2.2 microg h/ml in infants aged 1 to <3 months, 3.2 microg h/ml in infants aged 3 to <6 months, and 8.8 microg h/ml in infants aged 6 to 12 months. These data suggested that the dose administered to infants <6 months was less than optimal. Eight (44.4%) infants experienced at least one adverse event with gastrointestinal events reported most commonly. An updated pharmacokinetic analysis was conducted, which incorporated the data in infants from the present study and previously published data on children 1 to 12 years of age. An eight-step dosing regimen was derived that targeted exposure in infants and children 6 months to 12 years of age to match the penciclovir AUC seen in adults after a 500-mg dose of famciclovir.
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