Literature DB >> 3905164

Feedback control methods for drug dosage optimisation. Concepts, classification and clinical application.

S Vozeh, J L Steimer.   

Abstract

The concept of feedback control methods for drug dosage optimisation is described from the viewpoint of control theory. The control system consists of 5 parts: (a) patient (the controlled process); (b) response (the measured feedback); (c) model (the mathematical description of the process); (d) adaptor (to update the parameters); and (e) controller (to determine optimum dosing strategy). In addition to the conventional distinction between open-loop and closed-loop control systems, a classification is proposed for dosage optimisation techniques which distinguishes between tight-loop and loose-loop methods depending on whether physician's interaction is absent or included as part of the control step. Unlike engineering problems where the process can usually be controlled by fully automated devices, therapeutic situations often require that the physician be included in the decision-making process to determine the 'optimal' dosing strategy. Tight-loop and loose-loop methods can be further divided into adaptive and non-adaptive, depending on the presence of the adaptor. The main application areas of tight-loop feedback control methods are general anaesthesia, control of blood pressure, and insulin delivery devices. Loose-loop feedback methods have been used for oral anticoagulation and in therapeutic drug monitoring. The methodology, advantages and limitations of the different approaches are reviewed. A general feature common to all application areas could be observed: to perform well under routine clinical conditions, which are characterised by large interpatient variability and sometimes also intrapatient changes, control systems should be adaptive. Apart from application in routine drug treatment, feedback control methods represent an important research tool. They can be applied for the investigation of pathophysiological and pharmacodynamic processes. A most promising application is the evaluation of the relationship between an intermediate response (e.g. drug level), which is often used as feedback for dosage adjustment, and the final therapeutic goal.

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Year:  1985        PMID: 3905164     DOI: 10.2165/00003088-198510060-00001

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


  56 in total

1.  The response of arterial pressure to halothane: a systems analysis.

Authors:  N T Smith; H O Schwede
Journal:  Med Biol Eng       Date:  1972-03

2.  Method for the rapid estimation of the total body drug clearance and adjustment of dosage regimens in patients during a constant-rate intravenous infusion.

Authors:  W L Chiou; M A Gadalla; G W Peng
Journal:  J Pharmacokinet Biopharm       Date:  1978-04

3.  Hypertensive crisis managed by computer controlled infusion of sodium nitroprusside: a model for the closed loop administration of short acting vasoactive agents.

Authors:  J J Hammond; W M Kirkendall; R V Calfee
Journal:  Comput Biomed Res       Date:  1979-04

4.  Systems and microcomputer approach to anticoagulant therapy.

Authors:  W F Powers; P H Abbrecht; D G Covell
Journal:  IEEE Trans Biomed Eng       Date:  1980-09       Impact factor: 4.538

5.  Bayesian individualization of pharmacokinetics: simple implementation and comparison with non-Bayesian methods.

Authors:  L B Sheiner; S L Beal
Journal:  J Pharm Sci       Date:  1982-12       Impact factor: 3.534

6.  Digital and sampled-data control of arterial blood pressure during halothane anesthesia.

Authors:  Y Fukui; N T Smith; R A Fleming
Journal:  Anesth Analg       Date:  1982-12       Impact factor: 5.108

7.  Uptake of enflurane: a study of the variability between patients.

Authors:  D R Westenskow; W S Jordan; J K Hayes
Journal:  Br J Anaesth       Date:  1983-07       Impact factor: 9.166

8.  Feedback control of enflurane delivery in dogs--inspired compared to end-tidal control.

Authors:  D R Westenskow; W S Jordan; J K Hayes
Journal:  Anesth Analg       Date:  1983-09       Impact factor: 5.108

9.  N-Acetylprocainamide kinetics and clinical response during repeated dosing.

Authors:  J H Rodman; A Hurst; T Gaarder; J Cohen; R W Jelliffe
Journal:  Clin Pharmacol Ther       Date:  1982-09       Impact factor: 6.875

10.  A hand-held calculator program for individualized dosage adjustment of intravenous theophylline in acute asthma.

Authors:  B W Madsen; R A Tarala; J W Paterson
Journal:  Eur J Clin Pharmacol       Date:  1980-05       Impact factor: 2.953

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  15 in total

1.  Use of a pharmacokinetic-dynamic model for the automatic feedback control of atracurium.

Authors:  H Schwilden; K T Olkkola
Journal:  Eur J Clin Pharmacol       Date:  1991       Impact factor: 2.953

Review 2.  Individualised cancer chemotherapy: strategies and performance of prospective studies on therapeutic drug monitoring with dose adaptation: a review.

Authors:  Milly E de Jonge; Alwin D R Huitema; Jan H M Schellens; Sjoerd Rodenhuis; Jos H Beijnen
Journal:  Clin Pharmacokinet       Date:  2005       Impact factor: 6.447

Review 3.  Bayesian parameter estimation and population pharmacokinetics.

Authors:  A H Thomson; B Whiting
Journal:  Clin Pharmacokinet       Date:  1992-06       Impact factor: 6.447

Review 4.  Individualising gentamicin dosage regimens. A comparative review of selected models, data fitting methods and monitoring strategies.

Authors:  R W Jelliffe; T Iglesias; A K Hurst; K A Foo; J Rodriguez
Journal:  Clin Pharmacokinet       Date:  1991-12       Impact factor: 6.447

Review 5.  Kinetic-effect models and their applications.

Authors:  J Grevel
Journal:  Pharm Res       Date:  1987-04       Impact factor: 4.200

6.  Critical Need for Clarity in Polymyxin B Dosing.

Authors:  Nikolas J Onufrak; Gauri G Rao; Alan Forrest; Jason M Pogue; Marc H Scheetz; Roger L Nation; Jian Li; Keith S Kaye
Journal:  Antimicrob Agents Chemother       Date:  2017-04-24       Impact factor: 5.191

7.  Commentary to "Linear and Nonlinear System Approaches in Pharmacokinetics. How much do they have to offer? I. General considerations".

Authors:  R A Siegel
Journal:  J Pharmacokinet Biopharm       Date:  1988-12

Review 8.  Population pharmacokinetics. Theory and clinical application.

Authors:  B Whiting; A W Kelman; J Grevel
Journal:  Clin Pharmacokinet       Date:  1986 Sep-Oct       Impact factor: 6.447

9.  An intelligent and cost-effective computer dosing system for individualizing FK506 therapy in transplantation and autoimmune disorders.

Authors:  J McMichael; R Lieberman; H Doyle; J McCauley; J Fung; T E Starzl
Journal:  J Clin Pharmacol       Date:  1993-07       Impact factor: 3.126

10.  Targeting the systemic exposure of teniposide in the population and the individual using a stochastic therapeutic objective.

Authors:  D Z D'Argenio; J H Rodman
Journal:  J Pharmacokinet Biopharm       Date:  1993-04
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