Suppr超能文献

心房颤动患者口服抗凝治疗的依从性。聚焦于非维生素K拮抗剂口服抗凝药。

Adherence to oral anticoagulant therapy in patients with atrial fibrillation. Focus on non-vitamin K antagonist oral anticoagulants.

作者信息

Raparelli Valeria, Proietti Marco, Cangemi Roberto, Lip Gregory Y H, Lane Deirdre A, Basili Stefania

机构信息

Prof. Stefania Basili, I Clinica Medica, Viale del Policlinico 155, Roma, 00161, Italy, Tel.: +39 06 49974678, Fax: +39 06 49974678, E-mail:

出版信息

Thromb Haemost. 2017 Jan 26;117(2):209-218. doi: 10.1160/TH16-10-0757. Epub 2016 Nov 10.

Abstract

Oral anticoagulation is pivotal in the management of thromboembolic risk in non-valvular atrial fibrillation (NVAF) patients. Effective anticoagulation is important to avoid major adverse events and medication adherence is central to achieve good anticoagulation control. Non-vitamin K antagonist oral anticoagulants (NOACs) are as effective and safe as vitamin K antagonist (VKAs) in NVAF patients. Due to the absence of routine anticoagulation monitoring with NOACs treatment, concerns have been raised about patient's adherence to NOACs and real-life data demonstrates variability in adherence and persistence. A multi-level approach, including patients' preferences, factors determining physicians' prescribing habits and healthcare system infrastructure and support, is warranted to improve initiation and adherence of anticoagulants. Adherence to NOACs is paramount to achieve a clinical benefit. Implementation of educational programs and easy-to-use tools to identify patients most likely to be non-adherent to NOACs, are central issues in improving the quality of NVAF anticoagulation management.

摘要

口服抗凝治疗在非瓣膜性心房颤动(NVAF)患者血栓栓塞风险的管理中起着关键作用。有效的抗凝治疗对于避免重大不良事件很重要,而药物依从性是实现良好抗凝控制的核心。在NVAF患者中,非维生素K拮抗剂口服抗凝药(NOACs)与维生素K拮抗剂(VKAs)一样有效且安全。由于NOACs治疗无需常规抗凝监测,因此人们对患者对NOACs的依从性提出了担忧,而实际数据表明依从性和持续性存在差异。需要采取多层次方法,包括患者偏好、决定医生处方习惯的因素以及医疗保健系统基础设施和支持,以改善抗凝剂的起始使用和依从性。坚持使用NOACs对于获得临床益处至关重要。实施教育计划和易于使用的工具以识别最有可能不坚持使用NOACs的患者,是提高NVAF抗凝管理质量的核心问题。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验