A novel diagnostic approach may reduce inappropriate antibiotic use for acute respiratory infections

被引:4
作者
Hudson, Lori L. [1 ,2 ]
Woods, Christopher W. [1 ,3 ]
Ginsburg, Geoffrey S. [1 ,2 ]
机构
[1] Duke Univ, Sch Med, Dept Med, Durham, NC 27710 USA
[2] Duke Univ, Inst Genome Sci & Policy, Durham, NC 27710 USA
[3] Duke Univ, Sch Med, Div Infect Dis & Int Hlth, Durham, NC 27710 USA
关键词
acute respiratory infection; bacterial resistance; diagnostic devices; gene expression; host-based diagnostics;
D O I
10.1586/14787210.2014.881717
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
Respiratory infections can be due to a multitude of etiologies and are common throughout the world. Most are viral and self-limited, yet these infections are commonly treated with antibiotics thus contributing to the increase in resistance. Historically, infectious disease diagnostics have focused on identification of the microbial culprit at the site of infection but the specificity of host response as measured by the host transcriptome, now enables us to classify the etiology of infection agnostic to pathogen class. The ability to rapidly determine whether a similar set of symptoms is due to a virus, bacteria, or other agent from a common specimen (blood) will have far-reaching public health benefits, and further research is warranted to transfer this technology into the clinical setting.
引用
收藏
页码:279 / 282
页数:4
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