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  • 1985-1989  (1)
  • 1970-1974  (2)
  • pharmacokinetics  (2)
  • Chemical Engineering
  • 1
    ISSN: 1573-8744
    Keywords: digoxin ; pharmacokinetics ; two-compartment model ; three-compartment model ; radioimmunoassay
    Source: Springer Online Journal Archives 1860-2000
    Topics: Chemistry and Pharmacology
    Notes: Abstract An experiment has been carried out in man designed to compare the fit of a two- and a three-compartment pharmacokinetic model to experimentally determined serum digoxin concentration-time data following rapid intravenous injection of 1.0 mg of the drug. Digoxin was administered to five healthy male volunteers, blood samples were withdrawn repetitively over a period of 72 hr, and samples were assayed using a 125 I radioimmunoassay. Appropriate equations describing two- and three-compartment open models were fitted to the experimental data using weighted nonlinear least squares regression analysis. It was demonstrated that the three-compartment fit resulted in a statistically significant reduction in residual error, a marked improvement in the randomness of scatter of the experimental data about the serum digoxin-time curve, and better agreement of the predicted serum concentration-time curve with experimental serum digoxin concentrations. Thus the three-compartment open model is the simplest pharmacokinetic model consistent with the data observed in this experiment.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Journal of pharmacokinetics and pharmacodynamics 17 (1989), S. 571-592 
    ISSN: 1573-8744
    Keywords: pharmacokinetics ; variability ; parameter estimation ; modeling ; nonlinear regression ; Wagner-Nelson method ; mixed effects models
    Source: Springer Online Journal Archives 1860-2000
    Topics: Chemistry and Pharmacology
    Notes: Abstract The impact of assay variability on pharmacokinetic modeling was investigated. Simulated replications (150) of three “individuals” resulted in 450 data sets. A one-compartment model with first-order absorption was simulated. Random assay errors of 10, 20, or 30% were introduced and the ratio of absorption rate (K a )to elimination rate (K e )constants was 2, 10, or 20. The analyst was blinded as to the rate constants chosen for the simulations. Parameter estimates from the sequential method (K e )estimated with log-linear regression followed by estimation of K a and nonlinear regression with various weighting schemes were compared. NONMEM was run on the 9 data sets as well. Assay error caused a sizable number of curves to have apparent multicompartmental distribution or complex absorption kinetic characteristics. Routinely tabulated parameters (maximum concentration, area under the curve, and, to a lesser extent, mean residence time) were consistently overestimated as assay error increased. When K a /K e =2,all methods except NONMEM underestimated K e ,overestimated K a ,and overestimated apparent volume of distribution. These significant biases increased with the magnitude of assay error. With improper weighting, nonlinear regression significantly overestimated K e when K a /K e ,=20. In general, however, the sequential approach was most biased and least precise. Although no interindividual variability was included in the simulations, estimation error caused large standard deviations to be associated with derived parameters, which would be interpreted as interindividual error in a nonsimulation environment. NONMEM, however, acceptably estimated all parameters and variabilities. Routinely applied pharmacokinetic estimation methods do not consistently provide unbiased answers. In the specific case of extended-release drug formulations, there is clearly a possibility that certain estimation methods yield K a and relative bioavailability estimates that would be imprecise and biased.
    Type of Medium: Electronic Resource
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  • 3
    Electronic Resource
    Electronic Resource
    Stamford, Conn. [u.a.] : Wiley-Blackwell
    Polymer Engineering and Science 14 (1974), S. 362-365 
    ISSN: 0032-3888
    Keywords: Chemistry ; Chemical Engineering
    Source: Wiley InterScience Backfile Collection 1832-2000
    Topics: Chemistry and Pharmacology , Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics , Physics
    Notes: The effect of changes in crystallinity on the β-transition in poly(vinyl chloride) was studied by dynamic mechanical measurements of loss tangent (tan δ) and storage modulus (E′) over the temperature range -160° to 85°C. Four frequencies were covered, 3.5, 11, 35, and 110 Hz. The data presented demonstrate that crystallinity has a significant influence on the relaxation processes involved in the β-transition. The restrictions on segmental mobility imposed by crystallinity are most pronounced in the region between Tβ and Tg, with Tβ tending to shift to lower temperatures, Tg shifting to slightly higher temperatures, the magnitude of tan δ decreasing, and engineering tensile strength increasing. Our data also show that individual PVC resins have mechanical and physical properties which differ enough so that comparisons which are often made between them may be inconclusive. Moreover, the properties of one resin may be more sensitive to thermal treatment than those of another. We are continuing this study to establish correlations between the observed trends and other important mechanical properties such as impact strength, toughness, tensile, and compressive strength.
    Additional Material: 4 Ill.
    Type of Medium: Electronic Resource
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