Clinical Pharmacology and Pharmacy, Department of Public Health, University of Southern Denmark, J.B. Winsløws Vej 19, 2, 5000, Odense C, Denmark.
Drug Saf. 2018 Jul;41(7):685-695. doi: 10.1007/s40264-018-0650-6.
Knowledge on adverse effects (AEs) related to non-vitamin K antagonist oral anticoagulants (NOACs) in real-world populations is sparse.
Our objective was to identify signals of potential AEs in patients with atrial fibrillation (AF) initiating NOAC treatment using a hypothesis-free screening approach.
Using the nationwide Danish registries, we identified patients with AF initiating dabigatran, rivaroxaban, or apixaban between 2011 and 2015 (n = 50,627). Applying a symmetry analysis design, we screened for AEs of NOAC, as reflected by new drug treatments, incident diagnoses, or procedures. For signals with the lowest number needed for one additional patient to be harmed (NNTH), we evaluated whether they likely represented genuine AEs or other types of associations. Signals assessed as potential AEs were grouped into five categories for analysis of effect modification according to patient and drug characteristics.
Of the identified signals, 61 were classified as potential AEs. Most signals could be categorized as the following types of AEs: bleedings, non-bleeding gastrointestinal symptoms, mental disease, urinary tract disorders, and musculoskeletal symptoms. Older age and first-ever use of anticoagulants was associated with strengthening of all "NOAC-adverse effect" associations. Conversely, use of low-dose NOAC and apixaban led to attenuation of most associations.
Through a symmetry analysis-based hypothesis-free screening of large-scale healthcare databases, we were able to confirm well-established AEs of NOAC therapy in clinical practice as well as potential AEs that deserve further investigation.
关于非维生素 K 拮抗剂口服抗凝剂(NOACs)在真实人群中不良反应(AE)的知识很少。
我们的目的是使用无假设筛选方法,在开始使用 NOAC 治疗的房颤(AF)患者中识别潜在 AE 的信号。
我们使用全国性的丹麦登记处,确定了 2011 年至 2015 年期间开始使用达比加群、利伐沙班或阿哌沙班治疗的 AF 患者(n=50627)。应用对称分析设计,我们筛选了 NOAC 的 AE,反映为新的药物治疗、新发诊断或程序。对于需要额外一名患者受害的最低人数(NNTH)信号,我们评估了它们是否可能代表真正的 AE 或其他类型的关联。将被评估为潜在 AE 的信号分为五类,根据患者和药物特征分析效应修饰。
在所确定的信号中,有 61 个被归类为潜在 AE。大多数信号可以归类为以下类型的 AE:出血、非出血性胃肠道症状、精神疾病、尿路感染和肌肉骨骼症状。年龄较大和首次使用抗凝剂与所有“NOAC-不良反应”关联的加强有关。相反,使用低剂量 NOAC 和阿哌沙班会减弱大多数关联。
通过基于对称分析的大规模医疗保健数据库无假设筛选,我们能够确认 NOAC 治疗在临床实践中的既定 AE 以及需要进一步研究的潜在 AE。