Literature DB >> 23475133

The population pharmacokinetics of allopurinol and oxypurinol in patients with gout.

Daniel F B Wright1, Lisa K Stamp, Tony R Merriman, Murray L Barclay, Stephen B Duffull, Nicholas H G Holford.   

Abstract

PURPOSE: The aims of this study were to develop a population pharmacokinetic model for allopurinol and oxypurinol and to explore the influence of patient characteristics on allopurinol and oxypurinol pharmacokinetics.
METHODS: Data from 92 patients with gout and 12 healthy volunteers were available for analysis. A parent-metabolite model with a two-compartment model for allopurinol and a one-compartment model for oxypurinol was fitted to the data using non-linear mixed effects modelling.
RESULTS: Renal function, fat-free mass (FFM) and diuretic use were found to predict differences in the pharmacokinetics of oxypurinol. The population estimates for allopurinol clearance, inter-compartmental clearance, central and peripheral volume were 50, 142 L/h/70 kg FFM, 11.4, 91 L/70 kg FFM, respectively, with a between-subject variability of 33 % (coefficient of variance, CV) for allopurinol clearance. Oxypurinol clearance and volume of distribution were estimated to be 0.78 L/h per 6 L/h creatinine clearance/70 kg FFM and 41 L/70 kg FFM in the final model, with a between-subject variability of 28 and 15 % (CV), respectively.
CONCLUSIONS: The pharmacokinetic model provides a means of predicting the allopurinol dose required to achieve target oxypurinol plasma concentrations for patients with different magnitudes of renal function, different body mass and with or without concomitant diuretic use. The model provides a basis for the rational dosing of allopurinol in clinical practice.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23475133     DOI: 10.1007/s00228-013-1478-8

Source DB:  PubMed          Journal:  Eur J Clin Pharmacol        ISSN: 0031-6970            Impact factor:   2.953


  41 in total

1.  Using allopurinol above the dose based on creatinine clearance is effective and safe in patients with chronic gout, including those with renal impairment.

Authors:  Lisa K Stamp; John L O'Donnell; Mei Zhang; Jill James; Christopher Frampton; Murray L Barclay; Peter T Chapman
Journal:  Arthritis Rheum       Date:  2011-02

2.  Dosage prescribing and plasma oxipurinol levels in patients receiving allopurinol therapy.

Authors:  G M Peterson; R R Boyle; H W Francis; N W Oliver; J Paterson; R J von Witt; G R Taylor
Journal:  Eur J Clin Pharmacol       Date:  1990       Impact factor: 2.953

Review 3.  Effect on serum uric acid levels of drugs prescribed for indications other than treating hyperuricaemia.

Authors:  S S Daskalopoulou; V Tzovaras; D P Mikhailidis; M Elisaf
Journal:  Curr Pharm Des       Date:  2005       Impact factor: 3.116

4.  British Society for Rheumatology and British Health Professionals in Rheumatology guideline for the management of gout.

Authors:  Kelsey M Jordan; J Stewart Cameron; Michael Snaith; Weiya Zhang; Michael Doherty; Jonathan Seckl; Aroon Hingorani; Richard Jaques; George Nuki
Journal:  Rheumatology (Oxford)       Date:  2007-05-23       Impact factor: 7.580

5.  Likelihood based approaches to handling data below the quantification limit using NONMEM VI.

Authors:  Jae Eun Ahn; Mats O Karlsson; Adrian Dunne; Thomas M Ludden
Journal:  J Pharmacokinet Pharmacodyn       Date:  2008-08-07       Impact factor: 2.745

6.  Relationship between serum urate and plasma oxypurinol in the management of gout: determination of minimum plasma oxypurinol concentration to achieve a target serum urate level.

Authors:  L K Stamp; M L Barclay; J L O'Donnell; M Zhang; J Drake; C Frampton; P T Chapman
Journal:  Clin Pharmacol Ther       Date:  2011-07-27       Impact factor: 6.875

7.  Severe allopurinol toxicity. Description and guidelines for prevention in patients with renal insufficiency.

Authors:  K R Hande; R M Noone; W J Stone
Journal:  Am J Med       Date:  1984-01       Impact factor: 4.965

8.  Kinetics of allopurinol after single intravenous and oral doses. Noninteraction with benzbromarone and hydrochlorothiazide.

Authors:  B Breithaupt; M Tittel
Journal:  Eur J Clin Pharmacol       Date:  1982       Impact factor: 2.953

Review 9.  Mechanistic basis of using body size and maturation to predict clearance in humans.

Authors:  Brian J Anderson; Nick H G Holford
Journal:  Drug Metab Pharmacokinet       Date:  2009       Impact factor: 3.614

10.  The renal urate transporter SLC17A1 locus: confirmation of association with gout.

Authors:  Jade E Hollis-Moffatt; Amanda J Phipps-Green; Brett Chapman; Gregory T Jones; Andre van Rij; Peter J Gow; Andrew A Harrison; John Highton; Peter B Jones; Grant W Montgomery; Lisa K Stamp; Nicola Dalbeth; Tony R Merriman
Journal:  Arthritis Res Ther       Date:  2012-04-27       Impact factor: 5.156

View more
  12 in total

1.  Predicting allopurinol response in patients with gout.

Authors:  Daniel F B Wright; Stephen B Duffull; Tony R Merriman; Nicola Dalbeth; Murray L Barclay; Lisa K Stamp
Journal:  Br J Clin Pharmacol       Date:  2015-12-29       Impact factor: 4.335

2.  Genome-Wide Association and Functional Studies Reveal Novel Pharmacological Mechanisms for Allopurinol.

Authors:  Deanna J Brackman; Sook Wah Yee; Osatohanmwen J Enogieru; Christian Shaffer; Dilrini Ranatunga; Joshua C Denny; Wei-Qi Wei; Yoichiro Kamatani; Michiaki Kubo; Dan M Roden; Eric Jorgenson; Kathleen M Giacomini
Journal:  Clin Pharmacol Ther       Date:  2019-05-23       Impact factor: 6.875

Review 3.  Impaired response or insufficient dosage? Examining the potential causes of "inadequate response" to allopurinol in the treatment of gout.

Authors:  Lisa K Stamp; Tony R Merriman; Murray L Barclay; Jasvinder A Singh; Rebecca L Roberts; Daniel F B Wright; Nicola Dalbeth
Journal:  Semin Arthritis Rheum       Date:  2014-05-09       Impact factor: 5.532

4.  Genomic sequencing of uric acid metabolizing and clearing genes in relationship to xanthine oxidase inhibitor dose.

Authors:  Matthew B Carroll; Derek M Smith; Thomas L Shaak
Journal:  Rheumatol Int       Date:  2016-10-31       Impact factor: 2.631

5.  Individualising the dose of allopurinol in patients with gout.

Authors:  Diluk R W Kannangara; Garry G Graham; Daniel F B Wright; Sophie L Stocker; Ian Portek; Kevin D Pile; Murray L Barclay; Kenneth M Williams; Lisa K Stamp; Richard O Day
Journal:  Br J Clin Pharmacol       Date:  2017-05-28       Impact factor: 4.335

6.  A population pharmacokinetic model to predict oxypurinol exposure in patients on haemodialysis.

Authors:  Daniel Fb Wright; Matthew P Doogue; Murray L Barclay; Peter T Chapman; Nicholas B Cross; John H Irvine; Lisa K Stamp
Journal:  Eur J Clin Pharmacol       Date:  2016-09-28       Impact factor: 2.953

7.  The impact of diuretic use and ABCG2 genotype on the predictive performance of a published allopurinol dosing tool.

Authors:  Daniel F B Wright; Nicola Dalbeth; Amanda J Phipps-Green; Tony R Merriman; Murray L Barclay; Jill Drake; Paul Tan; Anne Horne; Lisa K Stamp
Journal:  Br J Clin Pharmacol       Date:  2018-02-20       Impact factor: 4.335

8.  Evaluation of a pharmacokinetic-pharmacodynamic model for hypouricaemic effects of febuxostat using datasets obtained from real-world patients.

Authors:  Toshinori Hirai; Toshimasa Itoh; Toshimi Kimura; Hirotoshi Echizen
Journal:  Br J Clin Pharmacol       Date:  2018-07-08       Impact factor: 3.716

Review 9.  Urate Handling in the Human Body.

Authors:  David Hyndman; Sha Liu; Jeffrey N Miner
Journal:  Curr Rheumatol Rep       Date:  2016-06       Impact factor: 4.592

10.  Individualized treatment strategies for hyperuricemia informed by a semi-mechanistic exposure-response model of uric acid dynamics.

Authors:  Sergey Aksenov; Carl C Peck; Ulf G Eriksson; Donald R Stanski
Journal:  Physiol Rep       Date:  2018-03
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.