Suppr超能文献

2012年至2022年药物超敏反应认识的进展

Advances in the Understanding of Drug Hypersensitivity: 2012 Through 2022.

作者信息

Macy Eric, Trautmann Axel, Chiriac Anca M, Demoly Pascal, Phillips Elizabeth J

机构信息

Allergy Department, Kaiser Permanente Southern California, San Diego, Calif.

Department of Dermatology and Allergy, Allergy Center Mainfranken, University Hospital Würzburg, Würzburg, Germany.

出版信息

J Allergy Clin Immunol Pract. 2023 Jan;11(1):80-91. doi: 10.1016/j.jaip.2022.10.025. Epub 2022 Oct 29.

Abstract

Over the last decade there have been key advances in understanding mechanisms, risk, and consequences of both true immunological drug hypersensitivity and unverified drug allergy labels that have changed clinical practice. This has been facilitated by the widespread adoption of electronic health records (EHRs). The vast majority of EHR drug allergy labels are unverified and cause significant morbidity from unnecessary avoidance of optimal drug therapy. There has also been significant movement in our understanding of mechanisms of drug hypersensitivity that, in addition to advancing our understanding of the pathogenesis of immediate and delayed reactions, have guided preventive efforts, diagnostic procedures, and clinical management. More widespread adoption, including scale-up of "allergy" delabeling and appropriate management, specifically for antibiotics, opiates, radiocontrast, chemotherapeutics, biologics, and nonsteroidal anti-inflammatory medications, will be necessary to improve patient outcomes over the next decade. This will require further engagement and collaboration between primary care health care providers, allergists, and other specialists.

摘要

在过去十年中,对于真正的免疫性药物超敏反应以及未经证实的药物过敏标签的机制、风险和后果的理解取得了关键进展,这些进展改变了临床实践。电子健康记录(EHRs)的广泛采用推动了这一进程。绝大多数EHR药物过敏标签未经证实,因不必要地避免使用最佳药物治疗而导致显著的发病率。我们对药物超敏反应机制的理解也有了重大进展,这不仅增进了我们对速发和迟发反应发病机制的理解,还指导了预防措施、诊断程序和临床管理。在未来十年,为改善患者预后,有必要更广泛地采用,包括扩大“过敏”标签去除和适当管理的规模,特别是针对抗生素、阿片类药物、放射造影剂、化疗药物、生物制剂和非甾体抗炎药物。这将需要初级保健医疗服务提供者、过敏症专科医生和其他专科医生之间进一步的参与和合作。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验