Literature DB >> 2044328

Nonlinear pharmacokinetics: clinical Implications.

T M Ludden1.   

Abstract

Nonlinear pharmacokinetics (in other words, time or dose dependences in pharmacokinetic parameters) can arise from factors associated with absorption, first-pass metabolism, binding, excretion and biotransformation. Nonlinearities in absorption and bioavailability can cause increases in drug concentrations that are disproportionately high or low relative to the change in dose. One of the more important sources of nonlinearity is the partial saturation of presystemic metabolism exhibited by such drugs as verapamil, propranolol and hydralazine. In such cases, circulating drug concentrations are sensitive not only to dose size but also to rate of absorption: slower absorption may decrease the overall systemic availability. The binding of drugs to plasma constituents, blood cells and extravascular tissue may exhibit concentration dependence. This can cause pharmacokinetic parameters based on total blood or serum drug concentrations to be concentration-dependent. Often, in these cases, parameters based on free drug concentration appear linear. An important consideration in regard to concentration-dependent serum binding is the difficulty in relating total concentration to a usual therapeutic range if free concentration is a better indicator of drug effect. Measurement of free concentration is needed in these cases, particularly if the intersubject variability in binding is high. An example of this behaviour is valproic acid. Partial saturation of elimination pathways can result in the well known behaviour typical of Michaelis-Menten pharmacokinetics. Small changes in dosing rate can make much larger differences in steady-state concentration. The time to achieve a given fraction of steady-state becomes longer as the dosing rate approaches the maximum elimination rate. Alcohol and phenytoin are examples of drugs that exhibit such behaviour. The sensitivity of steady-state concentration and cumulation rate to changes in dosing rate are both influenced by the magnitude of parallel first-order elimination pathways: even a first-order pathway that is only 1 to 2% of maximum clearance (which occurs at very low concentration) can be an important determinant of steady-state concentration and cumulation rate when concentrations are high. Theophylline and salicylate have significant parallel first-order elimination pathways as well as saturable pathways. Autoinduction causes an increase in clearance with long term administration. In some cases, dosage adjustment must be made to compensate for the increase, and the possibility that the degree of induction may be dose- or concentration-dependent must be kept in mind. Carbamazepine is a major example of autoinduction. It is fortunate that only a few of the many hundreds of drugs in use exhibit nonlinear behaviour that leads to clinical implications.(ABSTRACT TRUNCATED AT 400 WORDS)

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Year:  1991        PMID: 2044328     DOI: 10.2165/00003088-199120060-00001

Source DB:  PubMed          Journal:  Clin Pharmacokinet        ISSN: 0312-5963            Impact factor:   6.447


  135 in total

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Journal:  Clin Pharmacokinet       Date:  1989-01       Impact factor: 6.447

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Journal:  Ther Drug Monit       Date:  1989       Impact factor: 3.681

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Authors:  F P Abramson
Journal:  J Pharm Sci       Date:  1986-03       Impact factor: 3.534

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Authors:  R H Levy; M S Dumain; J L Cook
Journal:  J Pharmacokinet Biopharm       Date:  1979-12

5.  Predictability of verapamil steady-state plasma levels from single-dose data explained.

Authors:  J G Wagner
Journal:  Clin Pharmacol Ther       Date:  1984-07       Impact factor: 6.875

6.  Pharmacokinetic and pharmacodynamic studies with long-acting propranolol.

Authors:  J McAinsh; N S Baber; R Smith; J Young
Journal:  Br J Clin Pharmacol       Date:  1978-08       Impact factor: 4.335

7.  Pharmacokinetics of salicylate elimination in man.

Authors:  G Levy
Journal:  J Pharm Sci       Date:  1965-07       Impact factor: 3.534

8.  Impaired Lignocaine metabolism in patients with myocardial infarction and cardiac failure.

Authors:  L F Prescott; K K Adjepon-Yamoah; R G Talbot
Journal:  Br Med J       Date:  1976-04-17

9.  Nonlinear theophylline elimination.

Authors:  D D Tang-Liu; R L Williams; S Riegelman
Journal:  Clin Pharmacol Ther       Date:  1982-03       Impact factor: 6.875

10.  Stable oral availability of sustained release propranolol when co-administered with hydralazine or food: evidence implicating substrate delivery rate as a determinant of presystemic drug interactions.

Authors:  A J Byrne; J J McNeil; P M Harrison; W Louis; A M Tonkin; A J McLean
Journal:  Br J Clin Pharmacol       Date:  1984       Impact factor: 4.335

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  32 in total

1.  Nonlinearity detection: advantages of nonlinear mixed-effects modeling.

Authors:  E N Jonsson; J R Wade; M O Karlsson
Journal:  AAPS PharmSci       Date:  2000

2.  Oral pharmacokinetics and food interaction of the leukotriene D4 receptor antagonist verlukast.

Authors:  J I Schwartz; D J Margolskee; T D Bjornsson; V C Williams; J Y Hsieh; C C Lin; J D Rogers
Journal:  Br J Clin Pharmacol       Date:  1993-11       Impact factor: 4.335

Review 3.  Rate and extent of drug accumulation after multiple dosing revisited.

Authors:  Dion R Brocks; Reza Mehvar
Journal:  Clin Pharmacokinet       Date:  2010-07       Impact factor: 6.447

4.  To Apply Microdosing or Not? Recommendations to Single Out Compounds with Non-Linear Pharmacokinetics.

Authors:  Sieto Bosgra; Maria L H Vlaming; Wouter H J Vaes
Journal:  Clin Pharmacokinet       Date:  2016-01       Impact factor: 6.447

5.  Pharmacodynamic profiling of piperacillin in the presence of tazobactam in patients through the use of population pharmacokinetic models and Monte Carlo simulation.

Authors:  Thomas P Lodise; Ben Lomaestro; Keith A Rodvold; Larry H Danziger; George L Drusano
Journal:  Antimicrob Agents Chemother       Date:  2004-12       Impact factor: 5.191

6.  A tracer interaction method for nonlinear pharmacokinetics analysis: application to evaluation of nonlinear elimination.

Authors:  P Veng-Pedersen; J A Widness; J Wang; R L Schmidt
Journal:  J Pharmacokinet Biopharm       Date:  1997-10

Review 7.  Metabolic diversity as a reason for unsuccessful detoxification from benzodiazepines: the rationale for serum BZD concentration monitoring.

Authors:  Anna Basińska-Szafrańska
Journal:  Eur J Clin Pharmacol       Date:  2021-01-03       Impact factor: 2.953

8.  The kinetics of the auto-induction of ifosfamide metabolism during continuous infusion.

Authors:  A V Boddy; M Cole; A D Pearson; J R Idle
Journal:  Cancer Chemother Pharmacol       Date:  1995       Impact factor: 3.333

9.  Assessing the transport of receptor-mediated drug-delivery devices across cellular monolayers.

Authors:  Erik Brewer; Anthony M Lowman
Journal:  J Biomater Sci Polym Ed       Date:  2013-12-24       Impact factor: 3.517

Review 10.  Pharmacokinetic considerations in clinical toxicology: clinical applications.

Authors:  Darren M Roberts; Nick A Buckley
Journal:  Clin Pharmacokinet       Date:  2007       Impact factor: 6.447

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