Literature DB >> 8130527

Pharmacoinformatics: equations for serum drug assay error patterns; implications for therapeutic drug monitoring and dosage.

R W Jelliffe1, B Tahani.   

Abstract

Pharmacoinformatics is the area of Medical Informatics concerned with modeling and simulation of the behavior of drugs, and control of such behavior by individualized dosage regimens for each patient to achieve explicitly chosen therapeutic goals. The credibility of serum concentration data is a major factor in such modeling. The present report examines a more precise way of describing the credibility of such data with a collection of polynomial equations, developed from routine survey data of the College of American Pathologists, which improve the description of the credibility of serum level results when compared to the usual practice of describing the assay coefficient of variation in the usual manner and then not using such information either in population pharmacokinetic modeling or in actual therapeutic drug monitoring. These equations can be used until each laboratory can develop its own assay error patterns with its own similar polynomial equations.

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Year:  1993        PMID: 8130527      PMCID: PMC2850631     

Source DB:  PubMed          Journal:  Proc Annu Symp Comput Appl Med Care        ISSN: 0195-4210


  2 in total

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

2.  Forecasting individual pharmacokinetics.

Authors:  L B Sheiner; S Beal; B Rosenberg; V V Marathe
Journal:  Clin Pharmacol Ther       Date:  1979-09       Impact factor: 6.875

  2 in total
  3 in total

1.  Impact on resistance of the use of therapeutically equivalent generics: the case of ciprofloxacin.

Authors:  Carlos A Rodriguez; Maria Agudelo; Andres F Zuluaga; Omar Vesga
Journal:  Antimicrob Agents Chemother       Date:  2014-10-13       Impact factor: 5.191

2.  Development of a methodology to make individual estimates of the precision of liquid chromatography-tandem mass spectrometry drug assay results for use in population pharmacokinetic modeling and the optimization of dosage regimens.

Authors:  Gellért Balázs Karvaly; Michael N Neely; Krisztián Kovács; István Vincze; Barna Vásárhelyi; Roger W Jelliffe
Journal:  PLoS One       Date:  2020-03-05       Impact factor: 3.240

3.  A High-Throughput Clinical Laboratory Methodology for the Therapeutic Monitoring of Ibrutinib and Dihydrodiol Ibrutinib.

Authors:  Gellért Balázs Karvaly; István Vincze; Alexandra Balogh; Zoltán Köllő; Csaba Bödör; Barna Vásárhelyi
Journal:  Molecules       Date:  2022-07-25       Impact factor: 4.927

  3 in total

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