Targeted Therapy for Older Patients with Uncontrolled Severe Asthma: Current and Future Prospects

摘要:

Severe asthma in the elderly places a high burden on affected individuals and society. Emerging therapies target specific phenotypes of the asthma disease spectrum, and can be beneficial for older asthmatics, albeit their response might be altered due to age-related characteristics. Paradoxically, these characteristics are often ground for exclusion from clinical trials. The question thus arises how the senior asthmatic population can successfully enter the era of targeted therapy. Therefore, we highlight characteristics of this population relevant to effective treatment, and review the evidence for targeted therapy in elderly patients. For targeted therapy it is important to account for aging, as this affects the distribution of phenotypes (e.g. late-onset asthma, non-eosinophilic asthma) and may alter biomarkers and drug metabolism. Elderly asthmatics suffer from age-related comorbidities and subsequent polypharmacy. A systematic search into targeted asthma therapy yielded no randomized clinical trials dedicated to older asthmatics. Post hoc analyses of the anti-immunoglobulin E agent omalizumab indicate similar efficacy in both younger and older adults. Conference abstracts on anti-interleukin-5 and anti-interleukin-13 therapy suggest even more pronounced effects of targeted treatments in late-onset disease and in asthmatic patients 65 years or older, but full reports are lacking. For non-eosinophilic asthma in the elderly, there is not yet high-level evidence for targeted therapy, but macrolides may offer a viable option. In conclusion, there is a gap in knowledge regarding the effect of older age on the safety and efficacy of targeted asthma therapy. Further investigations in the elderly are needed, with special emphasis on both late-onset asthma and therapeutics for non-eosinophilic asthma.

展开

年份:

2016

通过文献互助平台发起求助,成功后即可免费获取论文全文。

相似文献

参考文献

引证文献

辅助模式

0

引用

文献可以批量引用啦~
欢迎点我试用!

关于我们

百度学术集成海量学术资源,融合人工智能、深度学习、大数据分析等技术,为科研工作者提供全面快捷的学术服务。在这里我们保持学习的态度,不忘初心,砥砺前行。
了解更多>>

友情链接

百度云百度翻译

联系我们

合作与服务

期刊合作 图书馆合作 下载产品手册

©2025 Baidu 百度学术声明 使用百度前必读

引用