Literature DB >> 10826129

The anomalous pharmacokinetics of amiodarone explained by nonexponential tissue trapping.

M Weiss1.   

Abstract

Conventional pharmacokinetic (PK) concepts fail to describe the long-term pharmacokinetics of the extremely cationic amphiphilic drug amiodarone. A nonclassical model based on the phenomenon of trapping at tissue binding sites with very long release times is presented, which implies that a volume of distribution and a steady-state level cannot be defined. In agreement with clinical PK data available in the literature, the model well describes not only single-dose disposition curves but also the persistently increasing plasma concentration-time curve during long-term treatment (up to 5 years) and the washout curve following cessation of therapy. The novel aspect is a long-tailed tissue residence time distribution which is incorporated into a recirculatory model leaving the initial distribution process and the clearance concept unchanged. The underlying theoretical approach, which is known as "strange or anomalous" kinetics in physical sciences, and the fractal scaling property of the model may enhance our understanding of the PK of extremely hydrophobic xenobiotics.

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Year:  1999        PMID: 10826129     DOI: 10.1023/a:1020965005254

Source DB:  PubMed          Journal:  J Pharmacokinet Biopharm        ISSN: 0090-466X


  22 in total

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Journal:  Eur J Clin Pharmacol       Date:  1984       Impact factor: 2.953

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Journal:  Eur J Clin Pharmacol       Date:  1998-01       Impact factor: 2.953

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Journal:  Clin Pharmacokinet       Date:  1984 Mar-Apr       Impact factor: 6.447

10.  Possible molecular basis for the pharmacokinetics and pharmacodynamics of three membrane-active drugs: propranolol, nimodipine and amiodarone.

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  18 in total

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7.  Exponential tails of drug disposition curves: reality or appearance?

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8.  How to avoid unbounded drug accumulation with fractional pharmacokinetics.

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Review 9.  Diffusion through skin in the light of a fractional derivative approach: progress and challenges.

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10.  Fractional calculus in pharmacokinetics.

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