Prediction of Clearance in Children from Adults Following Drug-Drug Interaction Studies: Application of Age-Dependent Exponent Model

被引:4
|
作者
Mahmood, Iftekhar [1 ,2 ]
机构
[1] US FDA, OTAT, Ctr Biol Evaluat & Res, 10903 New Hampshire Ave, Silver Spring, MD 20993 USA
[2] Mahmood Clin Pharmacol Consultancy LLC, 1709 Piccard Dr, Rockville, MD 20850 USA
关键词
TOPIRAMATE PHARMACOKINETICS; LEVETIRACETAM PHARMACOKINETICS; INFANTS; PHARMACODYNAMICS; CYCLOSPORINE; LAMOTRIGINE; DISPOSITION; COMBINATION; ONTOGENY; DIDEOXYINOSINE;
D O I
10.1007/s40268-020-00295-3
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Background and Objective Pharmacokinetic drug-drug interaction (DDI) studies are conducted in adult subjects during drug development but there are limited studies that have characterized pharmacokinetic DDI studies in children. The objective of this study was to evaluate if the DDI clearance values from adults can be allometrically extrapolated from adults to children. Methods Fifteen drugs were included in this study and the age of the children ranged from premature neonates to adolescents (30 observations across the age groups). The age-dependent exponent (ADE) model was used to predict the clearance of drugs in children from adults following DDI studies. Results The prediction error of drug clearances following DDIs in children ranged from 4 to 67%. Of 30 observations, 17 (57%) and 27 (90%) observations had a prediction error <= 30% and <= 50%, respectively. Conclusion This study indicates that it is possible to predict the clearance of drugs with reasonable accuracy in children from adults following DDI studies using an ADE model. The method is simple, robust, and reliable and can replace other complex empirical models.
引用
收藏
页码:47 / 54
页数:8
相关论文
共 15 条
  • [1] Prediction of Propofol Clearance in Children from an Allometric Model Developed in Rats, Children and Adults versus a 0.75 Fixed-Exponent Allometric Model
    Peeters, Mariska Y. M.
    Allegaert, Karel
    van Oud-Alblas, Heleen J. Blusse
    Cella, Massimo
    Tibboel, Dick
    Danhof, Meindert
    Knibbe, Catherijne A. J.
    CLINICAL PHARMACOKINETICS, 2010, 49 (04) : 269 - 275
  • [2] Application of the Population Pharmacokinetics Model-Based Approach to the Prediction of Drug-Drug Interaction between Rivaroxaban and Carbamazepine in Humans
    Ngo, Lien Thi
    Yun, Hwi-yeol
    Chae, Jung-woo
    PHARMACEUTICALS, 2023, 16 (05)
  • [3] Age- and Bodyweight-dependent Allometric Exponent Model for Scaling Clearance and Maintenance Dose of Theophylline From Neonates to Adults
    Tegenge, Million A.
    Mahmood, Iftekhar
    THERAPEUTIC DRUG MONITORING, 2018, 40 (05) : 635 - 641
  • [4] Extrapolation of Drug Clearance in Children ≤ 2 Years of Age from Empirical Models Using Data from Children (> 2 Years) and Adults
    Mahmood, Iftekhar
    DRUGS IN R&D, 2020, 20 (01) : 1 - 10
  • [5] The influence of drug-drug interaction and patients' characteristics on valproic acid's clearance in adults with epilepsy using nonlinear mixed effects modeling
    Vucicevic, Katarina
    Miljkovic, Branislava
    Pokrajac, Milena
    Prostran, Milica
    Martinovic, Zarko
    Grabnar, Iztok
    EUROPEAN JOURNAL OF PHARMACEUTICAL SCIENCES, 2009, 38 (05) : 512 - 518
  • [6] Application of physiologically-based pharmacokinetic model approach to predict pharmacokinetics and drug-drug interaction of rivaroxaban: A case study of rivaroxaban and carbamazepine
    Ngo, Lien Thi
    Yang, Sung-yoon
    Shin, Sooyoung
    Duc Tuan Cao
    Hung Van Nguyen
    Jung, Sangkeun
    Lee, Jae-Young
    Lee, Jong-Hwa
    Yun, Hwi-yeol
    Chae, Jung-woo
    CPT-PHARMACOMETRICS & SYSTEMS PHARMACOLOGY, 2022, 11 (11): : 1430 - 1442
  • [7] Interaction of ALK Inhibitors with Polyspecific Organic Cation Transporters and the Impact of Substrate-Dependent Inhibition on the Prediction of Drug-Drug Interactions
    Tsang, Yik Pui
    Lopez Quinones, Antonio Jesus
    Vieira, Leticia Salvador
    Wang, Joanne
    PHARMACEUTICS, 2023, 15 (09)
  • [8] Prediction of the Drug-Drug Interaction Potential between Tegoprazan and Amoxicillin/Clarithromycin Using the Physiologically Based Pharmacokinetic and Pharmacodynamic Model
    Wei, Zhuodu
    Jeong, Hyeon-Cheol
    Kim, Min-Gul
    Shin, Kwang-Hee
    PHARMACEUTICALS, 2023, 16 (03)
  • [9] Recommendations for the Design of Clinical Drug-Drug Interaction Studies With Itraconazole Using a Mechanistic Physiologically-Based Pharmacokinetic Model
    Chen, Yuan
    Cabalu, Tamara D.
    Callegari, Ernesto
    Einolf, Heidi
    Liu, Lichuan
    Parrott, Neil
    Peters, Sheila Annie
    Schuck, Edgar
    Sharma, Pradeep
    Tracey, Helen
    Upreti, Vijay V.
    Zheng, Ming
    Zhu, Andy Z. X.
    Hall, Stephen D.
    CPT-PHARMACOMETRICS & SYSTEMS PHARMACOLOGY, 2019, 8 (09): : 685 - 695
  • [10] Quantitative Prediction of Drug-Drug Interaction Caused by CYP Inhibition and Induction from In Vivo Data and Its Application in Daily Clinical Practices-Proposal for the Pharmacokinetic Interaction Significance Classification System (PISCS)
    Ohno, Yoshiyuki
    YAKUGAKU ZASSHI-JOURNAL OF THE PHARMACEUTICAL SOCIETY OF JAPAN, 2018, 138 (03): : 337 - 345