Literature DB >> 19354001

Application of fixed exponent 0.75 to the prediction of human drug clearance: an inaccurate and misleading concept.

Iftekhar Mahmood1.   

Abstract

Considering the controversy surrounding the exponent of 0.75 for the prediction of human drug clearance and lack of any systematic evaluation of the aforementioned proposal, the objective of this study was to determine whether the exponent 0.75 is indeed the most suitable exponent for the prediction of human drug clearance as compared to allometric scaling using the rule of exponents (ROE). Three methods were used to predict human drug clearance. Besides evaluating the exponent of 0.75, an arbitrarily selected exponent of 0.65 was also tested. ROE was also used to predict human drug clearance, and predicted values by all three methods were compared with observed human drug clearance. The results indicate that the exponent 0.75 is not the best approach for the prediction of human drug clearance. Both exponents 0.75 and 0.65 predicted human drug clearance with uncertainty, although on average the prediction of human drug clearance by 0.65 was better than the exponent 0.75. ROE provided far more accurate prediction of human drug clearance than either of the exponents. Although exponent 0.75 occasionally provided a good prediction of human drug clearance for a given drug for a given species, overall, the method is highly erratic and unreliable.

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Year:  2009        PMID: 19354001     DOI: 10.1515/dmdi.2009.24.1.57

Source DB:  PubMed          Journal:  Drug Metabol Drug Interact        ISSN: 0792-5077


  16 in total

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Journal:  Clin Pharmacokinet       Date:  2012-05-01       Impact factor: 6.447

2.  A bodyweight-dependent allometric exponent for scaling clearance across the human life-span.

Authors:  Chenguang Wang; Mariska Y M Peeters; Karel Allegaert; Heleen J Blussé van Oud-Alblas; Elke H J Krekels; Dick Tibboel; Meindert Danhof; Catherijne A J Knibbe
Journal:  Pharm Res       Date:  2012-06       Impact factor: 4.200

Review 3.  The role of population PK-PD modelling in paediatric clinical research.

Authors:  Roosmarijn F W De Cock; Chiara Piana; Elke H J Krekels; Meindert Danhof; Karel Allegaert; Catherijne A J Knibbe
Journal:  Eur J Clin Pharmacol       Date:  2010-03-26       Impact factor: 2.953

4.  Prediction of Clearance and Volume of Distribution in the Obese from Normal Weight Subjects : An Allometric Approach.

Authors:  Iftekhar Mahmood
Journal:  Clin Pharmacokinet       Date:  2012-08       Impact factor: 6.447

5.  Interspecies scaling for the prediction of drug clearance in children: application of maximum lifespan potential and an empirical correction factor.

Authors:  Iftekhar Mahmood
Journal:  Clin Pharmacokinet       Date:  2010-07       Impact factor: 6.447

6.  Prediction of drug clearance in children: an evaluation of the predictive performance of several models.

Authors:  Iftekhar Mahmood; Carl-Michael Staschen; Kosalaram Goteti
Journal:  AAPS J       Date:  2014-10-02       Impact factor: 4.009

7.  Population pharmacokinetics of oral baclofen in pediatric patients with cerebral palsy.

Authors:  Yang He; Janice E Brunstrom-Hernandez; Liu Lin Thio; Shellie Lackey; Deborah Gaebler-Spira; Maxine M Kuroda; Elaine Stashinko; Alexander H Hoon; Jilda Vargus-Adams; Richard D Stevenson; Stephanie Lowenhaupt; John F McLaughlin; Ana Christensen; Nienke P Dosa; Maureen Butler; Aloysia Schwabe; Christina Lopez; Desiree Roge; Diane Kennedy; Ann Tilton; Linda E Krach; Andrew Lewandowski; Hongying Dai; Andrea Gaedigk; J Steven Leeder; William J Jusko
Journal:  J Pediatr       Date:  2014-03-05       Impact factor: 4.406

8.  Population pharmacokinetics of valganciclovir prophylaxis in paediatric and adult solid organ transplant recipients.

Authors:  Heather E Vezina; Richard C Brundage; Henry H Balfour
Journal:  Br J Clin Pharmacol       Date:  2014-08       Impact factor: 4.335

9.  Interspecies modeling and prediction of human exenatide pharmacokinetics.

Authors:  Ting Chen; Donald E Mager; Leonid Kagan
Journal:  Pharm Res       Date:  2012-11-15       Impact factor: 4.200

Review 10.  Physiologically-based PK/PD modelling of therapeutic macromolecules.

Authors:  Peter Thygesen; Panos Macheras; Achiel Van Peer
Journal:  Pharm Res       Date:  2009-10-22       Impact factor: 4.200

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