Literature DB >> 10384860

The efficiency concept in pharmacodynamics.

G Alván1, G Paintaud, M Wakelkamp.   

Abstract

The classic approach to describe the pharmacological response to a drug is to analyse its concentration-effect relationship, using a variety of possible models such as maximum effect (Emax) models or sigmoid Emax models. The aim of this review is to discuss an alternative way of describing the pharmacological effect in terms of effect per unit of drug concentration, instead of simple effect. This variable is called efficiency, analogous with concepts used in other fields. The pharmacodynamic model for efficiency is derived from the sigmoid Emax model and is dependent on the same parameters. Since the sigmoid Emax model incorporates 'the law of diminishing returns', requiring ever higher concentrations to increase the effect by a given percentage, efficiency is bound to decrease with increasing concentrations. However, as a mathematical consequence of its derivation from the sigmoid Emax model, efficiency also has a maximum value, which can be expressed as a function of the slope factor (s) and drug concentration associated with half the maximum effect (C50), provided that the slope factor is greater than 1. The efficiency concept is potentially applicable to all drugs and particularly useful for those that follow concentration-effect relationships according to Emax or sigmoid Emax models. Most experience has been obtained with loop diuretics, especially with furosemide (frusemide). Slow administration of furosemide, leading to slow excretion of the drug, has been shown, in many studies, to significantly increase the total diuretic effect per amount of drug recovered in urine. In this review, some examples of the applicability of the efficiency concept to other drugs, such as antibacterials, opioids and antineoplastics, are discussed. In addition to pharmacodynamically varying efficiency, other saturable processes, such as the formation of active metabolites and saturable transport, may form a basis for the application of the efficiency concept. The efficiency of a drug dosage may also be influenced by tolerance and counter-regulation produced by the drug. All these factors contribute to schedule dependency. It is concluded that the shape of the time course of drug presentation to its site of action is an independent determinant of overall response. The possibility of adjusting the drug input profile to maximise therapeutic effect per dose and to separate cumulated therapeutic from cumulated adverse effects should be considered in designing administration schedules and in drug development.

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Year:  1999        PMID: 10384860     DOI: 10.2165/00003088-199936050-00005

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


  55 in total

1.  Pharmacodynamic modeling of furosemide tolerance after multiple intravenous administration.

Authors:  M Wakelkamp; G Alván; J Gabrielsson; G Paintaud
Journal:  Clin Pharmacol Ther       Date:  1996-07       Impact factor: 6.875

2.  Diuretic efficacy of high dose furosemide in severe heart failure: bolus injection versus continuous infusion.

Authors:  T P Dormans; J J van Meyel; P G Gerlag; Y Tan; F G Russel; P Smits
Journal:  J Am Coll Cardiol       Date:  1996-08       Impact factor: 24.094

3.  Pharmacokinetic-pharmacodynamic modeling of activity of ceftazidime during continuous and intermittent infusion.

Authors:  J W Mouton; A A Vinks; N C Punt
Journal:  Antimicrob Agents Chemother       Date:  1997-04       Impact factor: 5.191

4.  Effect of dosage regimen on natriuretic response to furosemide.

Authors:  T W Wilson; K J Falk; J L Labelle; K B Nguyen
Journal:  Clin Pharmacol Ther       Date:  1975-08       Impact factor: 6.875

Review 5.  Understanding the dose-effect relationship: clinical application of pharmacokinetic-pharmacodynamic models.

Authors:  N H Holford; L B Sheiner
Journal:  Clin Pharmacokinet       Date:  1981 Nov-Dec       Impact factor: 6.447

6.  Role of duration of diuretic effect in preventing sodium retention.

Authors:  J A Ferguson; K J Sundblad; P K Becker; J C Gorski; D W Rudy; D C Brater
Journal:  Clin Pharmacol Ther       Date:  1997-08       Impact factor: 6.875

Review 7.  Pharmacokinetic optimisation of cancer chemotherapy. Effect on outcomes.

Authors:  E Masson; W C Zamboni
Journal:  Clin Pharmacokinet       Date:  1997-04       Impact factor: 6.447

Review 8.  Patient-controlled analgesia. Pharmacokinetic and therapeutic considerations.

Authors:  H F Hill; L E Mather
Journal:  Clin Pharmacokinet       Date:  1993-02       Impact factor: 6.447

9.  Increasing the accumulation of daunorubicin in human leukemic cells by prolonging the infusion time.

Authors:  C Paul; U Tidefelt; J Liliemark; C Peterson
Journal:  Leuk Res       Date:  1989       Impact factor: 3.156

10.  Pharmacokinetic dosing in prophylactic treatment of hemophilia A.

Authors:  M Carlsson; E Berntorp; S Björkman; K Lindvall
Journal:  Eur J Haematol       Date:  1993-10       Impact factor: 2.997

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4.  Calculating occupancy when one does not have baseline: a comparison of different options.

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5.  Randomized, open-label, blinded-endpoint, crossover, single-dose study to compare the pharmacodynamics of torasemide-PR 10 mg, torasemide-IR 10 mg, and furosemide-IR 40 mg, in patients with chronic heart failure.

Authors:  Maria Rosa Ballester; Eulàlia Roig; Ignasi Gich; Montse Puntes; Joaquín Delgadillo; Benjamín Santos; Rosa Maria Antonijoan
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Review 6.  The need for mathematical modelling of spatial drug distribution within the brain.

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Journal:  Fluids Barriers CNS       Date:  2019-05-16
  6 in total

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