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Influence of coadministered antiepileptic drugs on serum zonisamide concentrations in epileptic patients: quantitative analysis based on suitable transforming factor.

作者信息

Fukuoka Noriyasu, Tsukamoto Toyohisa, Uno Junji, Kimura Michio, Morita Shushi

机构信息

Department of Hospital Pharmacy, Kagawa Medical University, Kagawa, Japan.

出版信息

Biol Pharm Bull. 2003 Dec;26(12):1734-8. doi: 10.1248/bpb.26.1734.

DOI:10.1248/bpb.26.1734
PMID:14646181
Abstract

We conducted a study to clarify the most suitable transforming factor related to the daily zonisamide dose (D) providing a steady-state serum concentration (C(t)) and analyzed the influences of the concomitant use of antiepileptic drugs on C(t) quantitatively. Data obtained by routine therapeutic drug monitoring from a total of 175 epileptic patients treated with the multiple oral administrations of zonisamide (ZNS) as a powder/tablets, were used for the analysis. Employing the extracellular water volume (V(ECW)) as a transforming factor, led the level/dose (L/D) ratio (:C(t)/(D/V(ECW))) to be independent of the patient's age and sex for the administration of ZNS alone. C(t) was revealed to be dependent on only one variable regarding D/V(ECW) and expressed as C(t)=0.604x(D/V(ECW)). Phenytoin (PHT) significantly lowered (p<0.01) the L/D ratio to 0.76 of the value for ZNS alone. For a more detailed analysis, we defined the parameter R(i) (i=1, 2, em leader, 6) as an alteration ratio, representing the influence of each antiepileptic drug on the L/D ratio of ZNS alone. A model based on the assumption that each R(i) value was independent from one another and multiplicative, was adopted. The analysis clarified that phenobarbital, valproic acid, carbamazepine, and PHT significantly lowered (p<0.05) the L/D ratio of ZNS to 0.849, 0.865, 0.846, and 0.804, respectively. In the case of the addition or discontinuance of concomitant treatment with antiepileptic drugs in the same patient, the estimated L/D ratios were calculated using the value of each R(i) and compared with the measured ones. The mean of prediction error was calculated as 22.9%. Our results appear valid and R(i) should be available for clinical use.

摘要

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