Literature DB >> 25501531

Emerging areas of research in the assessment of pharmacokinetics in patients with chronic kidney disease.

Michael A Tortorici1, David L Cutler2, Anasuya Hazra3, Thomas D Nolin4, Karen Rowland-Yeo5, Karthik Venkatakrishnan6.   

Abstract

Chronic kidney disease (CKD) has been shown to alter the pharmacokinetics of drugs that are eliminated not only via the renal pathway but also by nonrenal clearance and transport. Dosing recommendations in subjects with CKD have historically come from small pharmacokinetic (PK) studies, which have been insulated from the broader clinical development strategy. Opportunities for prospective strategic integration of both preclinical and clinical data on drug clearance mechanisms, model-based approaches, and clinical knowledge of therapeutic index are therefore often missed in designing and analyzing the results of PK studies in subjects with CKD, and eventually providing dosing recommendations. These considerations are valuable in designing informative PK studies in subjects with CKD, as well as for guiding kidney function-related inclusion/exclusion criteria in the broader clinical program and ultimately defining dosing guidelines that optimize benefit-risk balance for these special patient populations based on all available data. This paper offers points to consider for drug developers to increase adoption of a contemporary multidisciplinary approach, which includes key considerations on study design and conduct, methodologies for analysis (population PK and physiologically based PK modeling), and a roadmap to interpret the effect of kidney function on the overall benefit-risk profile of drugs in development.
© 2015, The American College of Clinical Pharmacology.

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Keywords:  chronic kidney disease; dosing recommendations; pharmacokinetics; physiologically based pharmacokinetics; renal safety

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Year:  2015        PMID: 25501531     DOI: 10.1002/jcph.444

Source DB:  PubMed          Journal:  J Clin Pharmacol        ISSN: 0091-2700            Impact factor:   3.126


  3 in total

Review 1.  Key to Opening Kidney for In Vitro-In Vivo Extrapolation Entrance in Health and Disease: Part II: Mechanistic Models and In Vitro-In Vivo Extrapolation.

Authors:  Daniel Scotcher; Christopher Jones; Maria Posada; Aleksandra Galetin; Amin Rostami-Hodjegan
Journal:  AAPS J       Date:  2016-08-09       Impact factor: 4.009

2.  Physiologically based and population PK modeling in optimizing drug development: A predict-learn-confirm analysis.

Authors:  A Suri; S Chapel; C Lu; K Venkatakrishnan
Journal:  Clin Pharmacol Ther       Date:  2015-07-14       Impact factor: 6.875

3.  Design and conduct considerations for studies in patients with impaired renal function.

Authors:  Paulien Ravenstijn; Manoranjenni Chetty; Pooja Manchandani
Journal:  Clin Transl Sci       Date:  2021-06-25       Impact factor: 4.689

  3 in total

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