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- Source :
- Pharmaceutical Research. 13:1804-1810
- Publication Year :
- 1996
- Publisher :
- Springer Science and Business Media LLC, 1996.
-
Abstract
- Purpose. To explore, by simulation procedures, the feasibility of characterizing, from sparse data, the concentration-effect relationship of drugs with pharmacodynamic hysteresis. Methods. For computer simulations, the concentration-effect relationship was assumed to be describable by the Sigmoid-E max equation, the site of drug action was located in a distinct effect compartment (k eo = 10 × k elim), and the pharmacokinetics were those of either a linear one- or two-compartment system. In view of the poor estimability of the parameters of the Sigmoid-E max model under the usual clinical conditions, central compartment post-distributive drug concentrations required to elicit various intensities of effect within the therapeutic range were used as data descriptors. Effect intensities of 5 and 25, or 25 and 50 units (with the “unknown” E max = 100 units) were targeted in multiple-dose (steady state) trial designs. From these data, drug concentrations required to produce effect intensities of 15 and 50 units were estimated by both log-linear and linear interpolation and the actual effect intensities produced by these concentrations were calculated. These simulations were performed over a wide range of Hill coefficient values (0.5 to 4.0) and dosing intervals (0.1 to 1.5 × elimination t 1/2). Results. Acceptable results could be obtained by measuring drug concentrations and effect intensities at or near the end of a dosing interval. The largest deviations of effective concentration estimates (in terms of effect intensity) occurred at a Hill coefficient value of 0.5 and the results were very little affected by changing the dosing interval. Conclusions. Our results demonstrate that effect-controlled clinical trials, with sparse data, of drugs with pharmacodynamic hysteresis for determining concentration-effect relationship in the therapeutic range are feasible in principle.
- Subjects :
- Pharmacology
medicine.medical_specialty
Steady state (electronics)
Organic Chemistry
Pharmaceutical Science
Sigmoid function
Linear interpolation
Surgery
Intensity (physics)
Pharmacokinetics
Pharmacodynamics
medicine
Range (statistics)
Molecular Medicine
Pharmacology (medical)
Dosing
Biological system
Biotechnology
Mathematics
Subjects
Details
- ISSN :
- 07248741
- Volume :
- 13
- Database :
- OpenAIRE
- Journal :
- Pharmaceutical Research
- Accession number :
- edsair.doi...........a529501d90af2c6ef3a7da3151d782cb
- Full Text :
- https://doi.org/10.1023/a:1016072806164