Department of Cardiology University of Copenhagen Rigshospitalet, Copenhagen Denmark.
Danish Headache Center, Department of Neurology University of Copenhagen, Rigshospitalet-Glostrup Hospital Glostrup Denmark.
Pharmacol Res Perspect. 2019 Jul 12;7(4):e00496. doi: 10.1002/prp2.496. eCollection 2019 Aug.
The aim of this study was to evaluate the pharmacokinetic variability of beta-adrenergic blocking agents used in cardiology by reviewing single-dose and steady-state pharmacokinetic studies from the literature. PubMed was searched for pharmacokinetic studies of beta-adrenergic blocking agents, both single-dose and steady-state studies. The studies included reported maximum plasma concentration (C) and/or area under the concentration curve (AUC). The coefficient of variation (CV%) was calculated for all studies, and a CV% <40% was considered low or moderate variability, and a CV% >40% was considered high variability. The C and AUC were reported a total of 672 times in 192 papers. Based on AUC, metoprolol, propranolol, carvedilol, and nebivolol showed high pharmacokinetic variability (highest first), whereas bisoprolol, atenolol, sotalol, labetalol, nadolol, and pindolol showed low to moderate variability (lowest first). We have shown a high interindividual pharmacokinetic variability that varies markedly in different beta-adrenergic blocking agents; the extreme being steady state ratios as high as 30 in metoprolol. A more personalized approach to the medical treatment of patients may be obtained by combining known pharmacokinetic information about variability, pharmaco-genetics and -dynamics, and patient characteristics, to avoid adverse events or lack of treatment effect.
本研究旨在通过回顾文献中单剂量和稳态药代动力学研究,评估心血管病中使用的β-肾上腺素能阻滞剂的药代动力学变异性。在 PubMed 上搜索了关于β-肾上腺素能阻滞剂的药代动力学研究,包括单剂量和稳态研究。这些研究报告了最大血浆浓度(C)和/或浓度曲线下面积(AUC)。对所有研究计算了变异系数(CV%),CV%<40%被认为是低或中度变异性,CV%>40%被认为是高度变异性。在 192 篇论文中总共报告了 672 次 C 和 AUC。基于 AUC,美托洛尔、普萘洛尔、卡维地洛和比索洛尔显示出高药代动力学变异性(最高),而比索洛尔、阿替洛尔、索他洛尔、拉贝洛尔、纳多洛尔和吲哚洛尔显示出低至中度变异性(最低)。我们已经显示出高度的个体间药代动力学变异性,不同的β-肾上腺素能阻滞剂之间差异很大;美托洛尔的稳态比值高达 30。通过结合已知的变异性、药物遗传学和动力学以及患者特征的药代动力学信息,可以获得更个性化的患者治疗方法,以避免不良事件或治疗效果不佳。