Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany.
Department of Medicine IV: Nephrology and Primary Care, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany.
J Am Soc Nephrol. 2021 Sep;32(9):2315-2329. doi: 10.1681/ASN.2021010063. Epub 2021 Jun 17.
Polypharmacy is common among patients with CKD, but little is known about the urinary excretion of many drugs and their metabolites among patients with CKD.
To evaluate self-reported medication use in relation to urine drug metabolite levels in a large cohort of patients with CKD, the German Chronic Kidney Disease study, we ascertained self-reported use of 158 substances and 41 medication groups, and coded active ingredients according to the Anatomical Therapeutic Chemical Classification System. We used a nontargeted mass spectrometry-based approach to quantify metabolites in urine; calculated specificity, sensitivity, and accuracy of medication use and corresponding metabolite measurements; and used multivariable regression models to evaluate associations and prescription patterns.
Among 4885 participants, there were 108 medication-drug metabolite pairs on the basis of reported medication use and 78 drug metabolites. Accuracy was excellent for measurements of 36 individual substances in which the unchanged drug was measured in urine (median, 98.5%; range, 61.1%-100%). For 66 pairs of substances and their related drug metabolites, median measurement-based specificity and sensitivity were 99.2% (range, 84.0%-100%) and 71.7% (range, 1.2%-100%), respectively. Commonly prescribed medications for hypertension and cardiovascular risk reduction-including angiotensin II receptor blockers, calcium channel blockers, and metoprolol-showed high sensitivity and specificity. Although self-reported use of prescribed analgesics (acetaminophen, ibuprofen) was <3% each, drug metabolite levels indicated higher usage (acetaminophen, 10%-26%; ibuprofen, 10%-18%).
This comprehensive screen of associations between urine drug metabolite levels and self-reported medication use supports the use of pharmacometabolomics to assess medication adherence and prescription patterns in persons with CKD, and indicates under-reported use of medications available over the counter, such as analgesics.
CKD 患者常合并多种药物治疗,但对于 CKD 患者许多药物及其代谢物的尿液排泄情况知之甚少。
为了评估大量 CKD 患者中自我报告的药物使用与尿液药物代谢物水平之间的关系,在德国慢性肾脏病研究中,我们确定了 158 种物质和 41 种药物组的自我报告使用情况,并根据解剖治疗化学分类系统对活性成分进行编码。我们使用基于非靶向质谱的方法来定量尿液中的代谢物;计算药物使用和相应代谢物测量的特异性、敏感性和准确性;并使用多变量回归模型来评估关联和处方模式。
在 4885 名参与者中,根据报告的用药情况和 78 种药物代谢物,有 108 种药物-药物代谢物对。尿液中未改变药物测量的 36 种单个物质的测量准确性非常高(中位数,98.5%;范围,61.1%-100%)。对于 66 对物质及其相关的药物代谢物,基于测量的中位特异性和敏感性分别为 99.2%(范围,84.0%-100%)和 71.7%(范围,1.2%-100%)。常用于治疗高血压和心血管风险的药物,包括血管紧张素 II 受体阻滞剂、钙通道阻滞剂和美托洛尔,显示出较高的敏感性和特异性。尽管自我报告的处方止痛药(对乙酰氨基酚、布洛芬)的使用量均<3%,但药物代谢物水平表明使用量更高(对乙酰氨基酚,10%-26%;布洛芬,10%-18%)。
这项对尿液药物代谢物水平与自我报告的药物使用之间关联的综合筛查支持使用药物代谢组学来评估 CKD 患者的药物依从性和处方模式,并表明报告的止痛药(如非处方止痛药)使用量不足。