Suppr超能文献

Toward an understanding of NSAID-related adverse events: the contribution of longitudinal data.

作者信息

Fries J

机构信息

Stanford University Medical Center, Division of Immunology & Rheumatology, Palo Alto, California 94304-1808, USA.

出版信息

Scand J Rheumatol Suppl. 1996;102:3-8. doi: 10.3109/03009749609097225.

Abstract

The ARAMIS (Arthritis, Rheumatism and Ageing Medical Information System) databanks have been used to objectify and quantify drug toxicity. The relative risk of a gastrointestinal (GI)-provoked hospitalization was more than five times greater in patients taking non-steroidal anti-inflammatory drugs (NSAIDs) than in non-NSAID-treated patients, with an excess hospitalization rate of 1.3% per annum. Additionally, there was an excess GI-related death rate of around 3% in rheumatoid arthritis (RA) patients compared with the normal population. Age, previous NSAID-related GI events, prednisone use, higher doses and greater disability predicted high-risk patients. A toxicity index showed clear differences between NSAIDs, with aspirin, salsalate and ibuprofen emerging as the least toxic, and meclofenamate and indomethacin as the most toxic. Disease modifying anti-rheumatic drugs (DMARDs) were, surprisingly, found to have similar toxicity scores to the NSAIDs. This supports the contemporary practice of employing DMARDs earlier and more aggressively in the course of RA.

摘要

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