Literature DB >> 6668559

Adaptive control of theophylline therapy: importance of blood sampling times.

D Z D'Argenio, K Khakmahd.   

Abstract

A two-observation protocol for estimating theophylline clearance during a constant-rate intravenous infusion is used to examine the importance of blood sampling schedules with regard to the information content of resulting concentration data. Guided by a theory for calculating maximally informative sample times, population simulations are used to assess the effect of specific sampling times on the precision of resulting clearance estimates and subsequent predictions of theophylline plasma concentrations. The simulations incorporated noise terms for intersubject variability, dosing errors, sample collection errors, and assay error. Clearance was estimated using Chiou's method, least squares, and a Bayesian estimation procedure. The results of these simulations suggest that clinically significant estimation and prediction errors may result when using the above two-point protocol for estimating theophylline clearance if the time separating the two blood samples is less than one population mean elimination half-life.

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Year:  1983        PMID: 6668559     DOI: 10.1007/bf01062211

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


  7 in total

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Journal:  Ann Intern Med       Date:  1975-05       Impact factor: 25.391

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Journal:  Eur J Clin Pharmacol       Date:  1980-11       Impact factor: 2.953

4.  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

5.  Some suggestions for measuring predictive performance.

Authors:  L B Sheiner; S L Beal
Journal:  J Pharmacokinet Biopharm       Date:  1981-08

6.  Optimal sampling times for pharmacokinetic experiments.

Authors:  D Z D'Argenio
Journal:  J Pharmacokinet Biopharm       Date:  1981-12

7.  Theophylline disposition in acutely ill hospitalized patients. The effect of smoking, heart failure, severe airway obstruction, and pneumonia.

Authors:  J R Powell; S Vozeh; P Hopewell; J Costello; L B Sheiner; S Riegelman
Journal:  Am Rev Respir Dis       Date:  1978-08
  7 in total
  8 in total

1.  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

2.  Estimates of the population pharmacokinetic parameters and performance of Bayesian feedback: a sensitivity analysis.

Authors:  S Vozeh; C Steiner
Journal:  J Pharmacokinet Biopharm       Date:  1987-10

Review 3.  Feedback control methods for drug dosage optimisation. Concepts, classification and clinical application.

Authors:  S Vozeh; J L Steimer
Journal:  Clin Pharmacokinet       Date:  1985 Nov-Dec       Impact factor: 6.447

4.  Predictive performance of the Bayesian analysis: effects of blood sampling time, population parameters, and pharmacostatistical model.

Authors:  Y Tanigawara; I Yano; K Kawakatsu; K Nishimura; M Yasuhara; R Hori
Journal:  J Pharmacokinet Biopharm       Date:  1994-02

5.  A comparison of the accuracy of a least squares regression, a Bayesian, Chiou's and the steady-state clearance method of individualising theophylline dosage.

Authors:  S F Hurley; J J McNeil
Journal:  Clin Pharmacokinet       Date:  1988-05       Impact factor: 6.447

6.  Bayesian estimation of doxorubicin pharmacokinetic parameters.

Authors:  F Bressolle; P Ray; J M Jacquet; J Brès; M Galtier; D Donadio; J Jourdan; J F Rossi
Journal:  Cancer Chemother Pharmacol       Date:  1991       Impact factor: 3.333

7.  A limited sampling procedure for estimating adriamycin pharmacokinetics in cancer patients.

Authors:  M C Launay; G Milano; A Iliadis; M Frenay; N Namer
Journal:  Br J Cancer       Date:  1989-07       Impact factor: 7.640

8.  Personalizing Polymyxin B Dosing Using an Adaptive Feedback Control Algorithm.

Authors:  Elizabeth A Lakota; Cornelia B Landersdorfer; Roger L Nation; Jian Li; Keith S Kaye; Gauri G Rao; Alan Forrest
Journal:  Antimicrob Agents Chemother       Date:  2018-06-26       Impact factor: 5.191

  8 in total

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