Adapting therapy with repeated short-infusions to inter individual variability between patients
Autor: | J. M. Vergnaud, I. D. Rosca |
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Rok vydání: | 2007 |
Předmět: |
Drug
media_common.quotation_subject Rate of infusion Models Biological Two stages Drug Administration Schedule Peak concentration Pharmacokinetics Humans Medicine Tissue Distribution Pharmacology (medical) Infusions Intravenous media_common Pharmacology Dose-Response Relationship Drug business.industry Drug elimination Patient Selection Models Theoretical Drug concentration Pharmaceutical Preparations Area Under Curve Drug Design Anesthesia Drug delivery business Half-Life |
Zdroj: | European Journal of Drug Metabolism and Pharmacokinetics. 32:87-99 |
ISSN: | 2107-0180 0378-7966 |
Popis: | Because of the wide inter individual variability between patients and their marked differences in drug response, one of the major issues that arises is adapting the therapy in question to the particular patient. In hospital, it is possible to vary the conditions of intravenous (i.v.) drug delivery by means of short infusions repeated at certain intervals. In this study, review of this process has been presented, and a therapeutic method described. It essentially consists of two stages. The first concerns the time of the first infusion, and the course of drug elimination: from two analyses of the drug concentrations in the blood made at two different times, the pharmacokinetic parameters of the patient are determined. Stage 2 consists of repeated short infusions and the therapy is adapted to the particular patient by varying the conditions involved. Thus, either the amount of the dose based on the rate of infusion or the time interval between the repeated infusions are varied. In order to reach a general solution, master curves are built by using dimensionless numbers as co-ordinates, such as time expressed in terms of the half-life t0.5 of the drug, and the drug concentration at the peaks defined as a fraction of the first unchanged peak concentration. |
Databáze: | OpenAIRE |
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