Leal Rodríguez Cristina, Haue Amalie Dahl, Mazzoni Gianluca, Eriksson Robert, Hernansanz Biel Jorge, Cantwell Lisa, Westergaard David, Belling Kirstine G, Brunak Søren
Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, DK-2200 Copenhagen, Denmark.
The Heart Center, Rigshospitalet, Copenhagen University Hospital, DK-2100 Copenhagen, Denmark.
PLOS Digit Health. 2023 Sep 7;2(9):e0000336. doi: 10.1371/journal.pdig.0000336. eCollection 2023 Sep.
Polypharmacy has generally been assessed by raw counts of different drugs administered concomitantly to the same patients; not with respect to the likelihood of dosage-adjustments. To address this aspect of polypharmacy, the objective of the present study was to identify co-medications associated with more frequent dosage adjustments. The data foundation was electronic health records from 3.2 million inpatient admissions at Danish hospitals (2008-2016). The likelihood of dosage-adjustments when two drugs were administered concomitantly were computed using Bayesian logistic regressions. We identified 3,993 co-medication pairs that associate significantly with dosage changes when administered together. Of these pairs, 2,412 (60%) did associate with readmission, mortality or longer stays, while 308 (8%) associated with reduced kidney function. In comparison to co-medications pairs that were previously classified as drug-drug interactions, pairs not classified as drug-drug interactions had higher odds ratios of dosage modifications than drug pairs with an established interaction. Drug pairs not corresponding to known drug-drug interactions while still being associated significantly with dosage changes were prescribed to fewer patients and mentioned more rarely together in the literature. We hypothesize that some of these pairs could be associated with yet to be discovered interactions as they may be harder to identify in smaller-scale studies.
多重用药通常是通过对同一患者同时使用的不同药物的原始计数来评估的;而非考虑剂量调整的可能性。为了解决多重用药的这一方面问题,本研究的目的是确定与更频繁剂量调整相关的联合用药。数据基础是丹麦医院320万例住院患者的电子健康记录(2008 - 2016年)。使用贝叶斯逻辑回归计算两种药物同时使用时剂量调整的可能性。我们确定了3993对联合用药,它们在同时使用时与剂量变化显著相关。在这些配对中,2412对(60%)确实与再次入院、死亡率或住院时间延长有关,而308对(8%)与肾功能下降有关。与先前被归类为药物相互作用的联合用药配对相比,未被归类为药物相互作用的配对在剂量调整方面的优势比高于已确定相互作用的药物配对。未对应已知药物相互作用但仍与剂量变化显著相关的药物配对,被开给的患者较少,在文献中一起提及的频率也较低。我们推测,这些配对中的一些可能与尚未发现的相互作用有关,因为它们在小规模研究中可能更难识别。