Hassan Arwa, Haefeli Walter E
Department of Internal Medicine VI, Clinical Pharmacology and Pharmacoepidemiology, University of Heidelberg, Im Neuenheimer Feld 410, 69120, Heidelberg, Germany.
Pharm World Sci. 2010 Apr;32(2):162-71. doi: 10.1007/s11096-009-9362-4. Epub 2010 Jan 10.
For a small number of drugs circadian variability has been shown to modify efficacy, safety, or pharmacokinetics.
We aimed to develop a database containing optimum timing of drug administration and to test how well such information is considered in daily practice.
University hospital providing primary and tertiary care.
We included data of randomised controlled trials collected from Embase and Medline studying the impact of the timing of drug administration on pharmacodynamics, pharmacokinetics, and adverse events. Data were analysed and weighed according to an algorithm considering trial design and assessed endpoints. Each branch of the algorithm led to a specific recommendation as to the time of the day the drug should be administered. A second algorithm was used to establish a recommendation if studies differed in their conclusion. Subsequently we retrospectively analysed the dosing time in consecutive electronic prescriptions issued at our institution in 2007.
For 30 active compounds randomised controlled trials were published assessing optimum timing of their administration. In 33% of them timing had no impact on clinical endpoints while the administration at a certain time of the day significantly improved the outcome of another 64% no clear statement was made for one drug (ketoprofen). We then analysed 478,864 electronic prescriptions. Two percent of them contained drugs with known circadian variability. Only in 14% the suggested time was considered with a range between 0% for telmisartan (bedtime administration) and 85% for perindopril (morning administration).
Thus far, dedicated studies on circadian responsiveness to drugs are sparse and for the few drugs with unequivocal evidence this information is only rarely considered in daily practice. Integration of circadian dosing information into a clinical decision support system linked to electronic prescribing may be one promising way to make this information widely accessible.
对于少数药物,昼夜节律变异性已被证明会改变疗效、安全性或药代动力学。
我们旨在建立一个包含药物最佳给药时间的数据库,并测试此类信息在日常实践中的应用情况。
提供初级和三级护理的大学医院。
我们纳入了从Embase和Medline收集的随机对照试验数据,这些试验研究了给药时间对药效学、药代动力学和不良事件的影响。根据考虑试验设计和评估终点的算法对数据进行分析和加权。算法的每个分支都会得出关于药物给药时间的具体建议。如果研究结论不同,则使用第二种算法来确定建议。随后,我们回顾性分析了2007年在我们机构开具的连续电子处方中的给药时间。
针对30种活性化合物发表了随机对照试验,评估其最佳给药时间。其中33%的试验中给药时间对临床终点没有影响,而在一天中的特定时间给药显著改善了另外64%的试验结果,有一种药物(酮洛芬)未给出明确结论。然后我们分析了478,864份电子处方。其中2%包含具有已知昼夜节律变异性的药物。只有14%的处方考虑了建议时间,替米沙坦(睡前给药)的考虑率为0%,培哚普利(早晨给药)的考虑率为85%。
迄今为止,关于药物昼夜反应性的专门研究很少,对于少数有明确证据的药物,此类信息在日常实践中也很少被考虑。将昼夜给药信息整合到与电子处方相关的临床决策支持系统中,可能是使这些信息广泛可用的一种有前景的方法。