Loiseau P
Department of Neurology, University Hospital, Bordeaux, France.
Drug Saf. 1998 Dec;19(6):495-510. doi: 10.2165/00002018-199819060-00006.
As epilepsy often is a chronic condition requiring prolonged therapy with anticonvulsants, patients being treated for epilepsy can be at risk when they are prescribed other drugs for concomitant diseases. Pharmacokinetic interactions can occur at each step of drug disposition (absorption, distribution, metabolism and elimination). Although such interactions may occur frequently with some drugs, only some will be clinically relevant. Alterations in the hepatic biotransformation of metabolised drugs due to hepatic isoenzyme induction or inhibition is of particular concern. The consequences of pharmacokinetic interactions are either accumulation of the drug leading to toxicity, or lowering of plasma concentrations resulting in reduced efficacy. Clinically relevant interactions depend on the structure, dosage and duration of administration of interacting agents, and on the individual's genetic make-up. In the past, drug interactions have been analysed empirically. At present, at least for interactions between drugs that are biotransformed in the liver, the risk should be predicted by considering the individual cytochrome P450 isoforms involved in the metabolism of coadministered drugs. Although drug-drug interactions can be predicted, their extent cannot be due to large interindividual variability. Even if nearly all drug combinations could be used with close clinical surveillance and blood concentration determinations, drugs that are not metabolised and are not highly protein bound, as are several of the new anticonvulsants, such as gabapentin, lamotrigine and vigabatrin, have a clear advantage in terms of a lower interaction potential.
由于癫痫通常是一种需要长期使用抗惊厥药物治疗的慢性疾病,癫痫患者在因合并症而被开具其他药物处方时可能会面临风险。药物处置的每个步骤(吸收、分布、代谢和消除)都可能发生药代动力学相互作用。虽然某些药物之间可能经常发生这种相互作用,但只有一些会具有临床相关性。因肝同工酶诱导或抑制导致代谢药物的肝生物转化改变尤其值得关注。药代动力学相互作用的后果要么是药物蓄积导致毒性,要么是血浆浓度降低导致疗效下降。具有临床相关性的相互作用取决于相互作用药物的结构、剂量和给药持续时间,以及个体的基因构成。过去,药物相互作用是通过经验分析的。目前,至少对于在肝脏中进行生物转化的药物之间的相互作用,应通过考虑参与共同给药药物代谢的个体细胞色素P450同工型来预测风险。虽然药物相互作用可以预测,但由于个体间差异很大,其程度无法确定。即使几乎所有药物组合在密切的临床监测和血药浓度测定下都可以使用,但像加巴喷丁、拉莫三嗪和氨己烯酸等几种新型抗惊厥药物那样不经过代谢且蛋白结合率不高的药物,在相互作用可能性较低方面具有明显优势。