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Simons CWM, Maton LCH, van Dartel M, van den Heuvel M, den Otter L, Versantvoort C, Colin PJ, Koomen JV. A review on the role of extrapolation as basis for paediatric marketing authorization applications of medicines in the EU. Br J Clin Pharmacol 2025; 91:1500-1510. [PMID: 39844429 PMCID: PMC12035585 DOI: 10.1111/bcp.16395] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Revised: 12/09/2024] [Accepted: 12/31/2024] [Indexed: 01/24/2025] Open
Abstract
AIMS For new medicines, drug companies obtain regulatory approval on the strategy to generate evidence in the paediatric population, which can be supported by extrapolation of evidence obtained in a reference population. This study investigated whether paediatric marketing authorization applications (PMAAs) supported by extrapolation based on exposure-matching were more successful-i.e. approval of the targeted paediatric population-and efficient-i.e. duration of the drug development-compared to PMAAs not supported by extrapolation. METHODS Data was extracted from completed paediatric investigation plans (PIPs), associated drug labels and public assessment reports published on the European Medicines Agency website. Assessment reports were evaluated to assess whether PMAAs were supported by extrapolation based on exposure-matching. Wilcoxon rank-sum tests were used to compare PMAAs supported and not supported by extrapolation based on exposure-matching for outcomes of interest. RESULTS Exposure-matching supported the benefit/risk assessment of 39.6% of the PMAAs. Targeted and approved minimum age of the paediatric population were comparable for PMAAs where extrapolation based on exposure-matching supported the benefit/risk assessment (2.0 vs. 2.0 years, P-value = .72), but not for PMAAs not supported by extrapolation (0.2 years vs. 0.5 years, P-value = .05). Completion of drug development was 5.4 years vs. 4.3 years (P = .04) in PMAAs supported by extrapolation based on exposure-matching compared to those not supported by extrapolation, respectively. CONCLUSIONS PMAAs supported by extrapolation based on exposure-matching succeeded more often in obtaining marketing approval in the targeted paediatric population than PMAAs not supported by exposure-matching, but were also less efficient.
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Affiliation(s)
| | - Loes C. H. Maton
- Dutch Medicines Evaluation BoardUtrechtThe Netherlands
- Department of Anesthesiology, University of GroningenUniversity Medical Center GroningenGroningenThe Netherlands
| | | | | | - Loes den Otter
- Dutch Medicines Evaluation BoardUtrechtThe Netherlands
- Department of Cognitive Neuropsychiatry and Clinical Neuroscience, Mental Health and Neuroscience Research Institute (MHeNs)Maastricht UniversityMaastrichtthe Netherlands
| | | | - Pieter J. Colin
- Department of Anesthesiology, University of GroningenUniversity Medical Center GroningenGroningenThe Netherlands
| | - Jeroen V. Koomen
- Dutch Medicines Evaluation BoardUtrechtThe Netherlands
- Department of Anesthesiology, University of GroningenUniversity Medical Center GroningenGroningenThe Netherlands
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Flamini R, Fogarasi A, Omatsu H, Milh M, Phillips S, Patten A, Takase T, Ngo LY. Long-term safety and efficacy of adjunctive perampanel in pediatric patients (ages 4 to <12 years) with inadequately controlled focal-onset seizures or generalized tonic-clonic seizures. Epilepsia 2025; 66:1097-1109. [PMID: 39931934 DOI: 10.1111/epi.18242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Revised: 12/11/2024] [Accepted: 12/13/2024] [Indexed: 04/16/2025]
Abstract
OBJECTIVE Study 311 (NCT02849626) Extension A assessed long-term outcomes of adjunctive perampanel treatment in children (ages 4 to <12 years) with uncontrolled focal-onset seizures (FOS), with/without focal to bilateral tonic-clonic seizures (FBTCS), or generalized tonic-clonic seizures (GTCS). METHODS Patients completing the 23-week Core Study could enter Extension A (29-week Maintenance and 4-week Follow-up Periods) to receive perampanel at the dose achieved during the Core Study. Dose adjustments were permitted per the investigator's discretion during Extension A. The maximum dose was 12 mg/day for patients enrolled in Japan and without enzyme-inducing anti-seizure medications (EIASMs), or 16 mg/day with EIASM(s). Safety and tolerability were monitored throughout Extension A. Efficacy assessments included median percent change in seizure frequency per 28 days from baseline and 50% responder rates. Outcomes were analyzed by seizure type, age (4 to <7 vs 7 to <12 years), and EIASM use. RESULTS Of 180 patients enrolling in the Core Study, 136 entered (FOS, n = 116 [including 43 with FBTCS]; GTCS, n = 20) and 122 completed Extension A. Treatment-emergent adverse events (TEAEs) were the most common reason for discontinuation (4%). The mean (standard deviation) dose during Extension A was 8.3 (3.2) mg/day. Incidences of TEAEs in Extension A were 69% overall and 62%-89% across subgroups; TEAEs led to dose adjustment in 10% of patients. No changes of clinical concern in cognition, growth, development, or quality of life were identified over 52 weeks. At Weeks 40-52, median percent reductions in seizure frequency per 28 days from baseline were 69% (FOS, n = 108), 74% (FBTCS, n = 41), and 100% (GTCS, n = 13); 50% responder rates were 62% (FOS and GTCS) and 81% (FBTCS). Efficacy outcomes were comparable across age and EIASM groups. SIGNIFICANCE These findings support long-term (≤52 weeks) use of adjunctive perampanel in children with epilepsy, irrespective of seizure type, age, or EIASM use.
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Affiliation(s)
- Robert Flamini
- Pediatric and Adolescent Neurodevelopmental Associates, Atlanta, Georgia, USA
| | - Andras Fogarasi
- Andras Peto Faculty, Semmelweis University and Epilepsy Center, Bethesda Children's Hospital, Budapest, Hungary
| | - Hirowo Omatsu
- Yokohama Medical and Welfare Centre, Konan, Yokohoma, Japan
| | - Mathieu Milh
- Pediatric Neurology Unity, La Timone Enfants Hospital, Marseille, France
| | - Steven Phillips
- Mary Bridge Children's Neurology Clinic, Tacoma, Washington, USA
| | | | | | - Leock Y Ngo
- Formerly: Eisai Inc., Nutley, New Jersey, USA
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3
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Qian Y. Pediatric Drug Development: Lessons Learned to Shape the Future of Drug Development Strategies for Our Little Patients. Clin Ther 2024; 46:730-732. [PMID: 39353750 DOI: 10.1016/j.clinthera.2024.09.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2024] [Accepted: 09/11/2024] [Indexed: 10/04/2024]
Affiliation(s)
- Yuli Qian
- Clinical Pharmacology, AbbVie Inc, North Chicago, Illinois.
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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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Zhang H, Liu J, Sharma V, Zhuang L, Horn P, Uppoor R, Mehta M, Zhu H. Pediatric Extrapolation Approach for U.S. Food and Drug Administration Approval of Brexpiprazole in Patients Aged 13 to 17 Years with Schizophrenia. J Clin Pharmacol 2024; 64:771-778. [PMID: 38488344 DOI: 10.1002/jcph.2429] [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: 01/09/2024] [Accepted: 02/20/2024] [Indexed: 06/27/2024]
Abstract
A pharmacokinetic (PK) bridging approach was successfully employed to support the dosing regimen and approval of brexpiprazole in pediatric patients aged 13-17 years with schizophrenia. Brexpiprazole was approved in 2015 for the treatment of schizophrenia and the adjunctive treatment of major depressive disorder in adults based on efficacy and safety data from clinical trials. On January 13, 2020, the US Food and Drug Administration issued a general advice letter to sponsors highlighting the acceptance of efficacy extrapolation of certain atypical antipsychotics from adult patients to pediatric patients considering the similarity in disease and exposure-response relationships. Brexpiprazole is the first atypical antipsychotic approved in pediatrics using this approach. The PK data available from pediatric patients aged 13-17 years have shown high variability due to the limited number of PK evaluable subjects, which limits a robust estimation of differences between adult and pediatric patients. The PK model-based approach was thus utilized to evaluate the appropriateness of the dosing regimen by comparing PK exposures in pediatric patients aged 13-17 years with exposures achieved in adults at the approved doses. In addition to exposure matching, safety data from a long-term open-label clinical study in pediatric patients informed the safety profile in pediatric patients. This report illustrates the potential of leveraging previously collected efficacy, safety, and PK data in adult patients to make a regulatory decision in pediatric patients for the indication of schizophrenia.
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Affiliation(s)
- Huixia Zhang
- Office of Clinical Pharmacology, Office of Translational Sciences, U.S. Food and Drug Administration, Silver Spring, Maryland, USA
| | - Jie Liu
- Office of Clinical Pharmacology, Office of Translational Sciences, U.S. Food and Drug Administration, Silver Spring, Maryland, USA
| | - Vishnu Sharma
- Office of Clinical Pharmacology, Office of Translational Sciences, U.S. Food and Drug Administration, Silver Spring, Maryland, USA
| | - Luning Zhuang
- Office of Clinical Pharmacology, Office of Translational Sciences, U.S. Food and Drug Administration, Silver Spring, Maryland, USA
| | - Pamela Horn
- Office of New Drugs, U.S. Food and Drug Administration, Silver Spring, Maryland, USA
| | - Ramana Uppoor
- Office of Clinical Pharmacology, Office of Translational Sciences, U.S. Food and Drug Administration, Silver Spring, Maryland, USA
| | - Mehul Mehta
- Office of Clinical Pharmacology, Office of Translational Sciences, U.S. Food and Drug Administration, Silver Spring, Maryland, USA
| | - Hao Zhu
- Office of Clinical Pharmacology, Office of Translational Sciences, U.S. Food and Drug Administration, Silver Spring, Maryland, USA
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Schoemaker R, Krauwinkel W, Elshoff JP, Stockis A. Brivaracetam exposure-response predictions in pediatric patients from age 1 month: Extrapolation of levetiracetam adult-pediatric scaling to brivaracetam. Epilepsy Res 2024; 202:107332. [PMID: 38518434 DOI: 10.1016/j.eplepsyres.2024.107332] [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: 07/19/2023] [Revised: 01/25/2024] [Accepted: 02/19/2024] [Indexed: 03/24/2024]
Abstract
BACKGROUND An adult population pharmacokinetic/pharmacodynamic (PK/PD) model for the antiseizure medication (ASM) brivaracetam (BRV) was previously extended to children aged 4-16 years by using a pediatric BRV population PK model. Effects were scaled using information from a combined adult-pediatric PK/PD model of a related ASM, levetiracetam (LEV). OBJECTIVE To scale an existing adult population PK/PD model for BRV to children aged 1 month to < 4 years using information from a combined adult-pediatric PK/PD model for LEV, and to predict the effective dose of BRV in children aged 1 month to < 4 years using the adult BRV PK/PD model modified for the basal seizure rate in children. MATERIAL AND METHODS An existing adult population PK/PD model for BRV was scaled to children aged from 1 month to < 4 years using information from a combined adult-pediatric PK/PD model for LEV, an ASM binding to the same target protein as BRV. An existing adult-pediatric PK/PD model for LEV was extended using data from UCB study N01009 (NCT00175890) to include children as young as 1 month of age. The BRV population PK model was updated with data up to 180 days after first administration from BRV pediatric studies N01263 (NCT00422422) and N01266 (NCT01364597). PK and PD simulations for BRV were performed for a range of mg/kg doses to predict BRV effect in pediatric participants, and to provide dosing recommendations. RESULTS The extended adult-pediatric LEV PK/PD model was able to describe the adult and pediatric data using the same PD model parameters in adults and children and supported the extension of the adult BRV PK/PD model to pediatric patients aged 1 month to < 4 years. Simulations predicted exposures similar to adults receiving BRV 100 mg twice daily (b.i.d.), when using 3 mg/kg b.i.d. for weight < 10 kg, 2.5 mg/kg b.i.d. for weight ≥ 10 kg and < 20 kg, and 2 mg/kg b.i.d. for weight ≥ 20 kg in children aged 1 month to < 4 years. PK/PD simulations show that maximum BRV response is expected to occur with 2-3 mg/kg b.i.d. dosing of BRV in children aged 1 month to < 4 years, with an effective dose of 1 mg/kg b.i.d. for some participants. CONCLUSION Development of an adult-pediatric BRV PK/PD model allowed characterization of the exposure-response relationship of BRV in children aged 1 to < 4 years, providing a maximal dose allowance based on weight.
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Affiliation(s)
- Rik Schoemaker
- Occams, Malandolaan 10, 1187 HE Amstelveen, the Netherlands
| | | | - Jan-Peer Elshoff
- UCB Pharma, Alfred-Nobel-Strasse 10, 40789 Monheim am Rhein, Germany
| | - Armel Stockis
- UCB Pharma, Chemin du Foriest, B1420 Braine-l'Alleud, Belgium
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7
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Maglalang PD, Wen J, Hornik CP, Gonzalez D. Sources of pharmacokinetic and pharmacodynamic variability and clinical pharmacology studies of antiseizure medications in the pediatric population. Clin Transl Sci 2024; 17:e13793. [PMID: 38618871 PMCID: PMC11017206 DOI: 10.1111/cts.13793] [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: 01/26/2024] [Revised: 03/08/2024] [Accepted: 03/25/2024] [Indexed: 04/16/2024] Open
Abstract
Multiple treatment options exist for children with epilepsy, including surgery, dietary therapies, neurostimulation, and antiseizure medications (ASMs). ASMs are the first line of therapy, and more than 30 ASMs have U.S. Food and Drug Administration (FDA) approval for the treatment of various epilepsy and seizure types in children. Given the extensive FDA approval of ASMs in children, it is crucial to consider how the physiological and developmental changes throughout childhood may impact drug disposition. Various sources of pharmacokinetic (PK) variability from different extrinsic and intrinsic factors such as patients' size, age, drug-drug interactions, and drug formulation could result in suboptimal dosing of ASMs. Barriers exist to conducting clinical pharmacological studies in neonates, infants, and children due to ethical and practical reasons, limiting available data to fully characterize these drugs' disposition and better elucidate sources of PK variability. Modeling and simulation offer ways to circumvent traditional and intensive clinical pharmacology methods to address gaps in epilepsy and seizure management in children. This review discusses various physiological and developmental changes that influence the PK and pharmacodynamic (PD) variability of ASMs in children, and several key ASMs will be discussed in detail. We will also review novel trial designs in younger pediatric populations, highlight the role of extrapolation of efficacy in epilepsy, and the use of physiologically based PK modeling as a tool to investigate sources of PK/PD variability in children. Finally, we will conclude with current challenges and future directions for optimizing the efficacy and safety of these drugs across the pediatric age spectrum.
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Affiliation(s)
- Patricia D. Maglalang
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of PharmacyThe University of North Carolina at Chapel HillChapel HillNorth CarolinaUSA
| | - Jiali Wen
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of PharmacyThe University of North Carolina at Chapel HillChapel HillNorth CarolinaUSA
| | - Christoph P. Hornik
- Duke Clinical Research InstituteDurhamNorth CarolinaUSA
- Department of PediatricsDuke University School of MedicineDurhamNorth CarolinaUSA
| | - Daniel Gonzalez
- Duke Clinical Research InstituteDurhamNorth CarolinaUSA
- Division of Clinical Pharmacology, Department of MedicineDuke University School of MedicineDurhamNorth CarolinaUSA
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Shao W, Shen C, Wang W, Sun H, Wang X, Geng K, Wang X, Xie H. Development and Validation of Physiologically Based Pharmacokinetic Model of Levetiracetam to Predict Exposure and Dose Optimization in Pediatrics. J Pharm Sci 2023; 112:2667-2675. [PMID: 37023853 DOI: 10.1016/j.xphs.2023.03.025] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 03/29/2023] [Accepted: 03/29/2023] [Indexed: 04/08/2023]
Abstract
Levetiracetam (Lev) is an antiepileptic drug that has been increasingly used in the epilepsy pediatric population in recent years, but its pharmacokinetic behavior in pediatric population needs to be characterized clearly. Clinical trials for the pediatric drug remain difficult to conduct due to ethical and practical factors. The purpose of this study was to use the physiologically based pharmacokinetic (PBPK) model to predict changes in plasma exposure of Lev in pediatric patients and to provide recommendations for dose adjustment. A PBPK model of Lev in adults was developed using PK-Sim® software and extrapolated to the entire age range of the pediatric population. The model was evaluated using clinical pharmacokinetic data. The results showed the good fit between predictions and observations of the adult and pediatric models. The recommended doses for neonates, infants and children are 0.78, 1.67 and 1.22 times that of adults, respectively. Moreover, at the same dose, plasma exposure in adolescents was similar to that of adults. The PBPK models of Lev for adults and pediatrics were successfully developed and validated to provide a reference for the rational administration of drugs in the pediatric population.
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Affiliation(s)
- Wenxin Shao
- Anhui Provincial Center for Drug Clinical Evaluation, Yijishan Hospital of Wannan Medical College, Wuhu 241001, Anhui, China
| | - Chaozhuang Shen
- Anhui Provincial Center for Drug Clinical Evaluation, Yijishan Hospital of Wannan Medical College, Wuhu 241001, Anhui, China
| | - Wenhui Wang
- Anhui Provincial Center for Drug Clinical Evaluation, Yijishan Hospital of Wannan Medical College, Wuhu 241001, Anhui, China
| | - Hua Sun
- Anhui Provincial Center for Drug Clinical Evaluation, Yijishan Hospital of Wannan Medical College, Wuhu 241001, Anhui, China
| | - Xiaohu Wang
- Anhui Provincial Center for Drug Clinical Evaluation, Yijishan Hospital of Wannan Medical College, Wuhu 241001, Anhui, China
| | - Kuo Geng
- Anhui Provincial Center for Drug Clinical Evaluation, Yijishan Hospital of Wannan Medical College, Wuhu 241001, Anhui, China
| | - Xingwen Wang
- Anhui Provincial Center for Drug Clinical Evaluation, Yijishan Hospital of Wannan Medical College, Wuhu 241001, Anhui, China
| | - Haitang Xie
- Anhui Provincial Center for Drug Clinical Evaluation, Yijishan Hospital of Wannan Medical College, Wuhu 241001, Anhui, China.
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