Suppr超能文献

急诊科发热患者感染相关生物标志物的流式细胞术评估。

Flow cytometry evaluation of infection-related biomarkers in febrile subjects in the emergency department.

机构信息

Department of Research & Development, Beckman Coulter Life Sciences-Immunotech, 130 Avenue de Lattre de Tassigny, 13009 Marseille, France.

C2VN INSERM-INRA, Aix-Marseille University, 27 Boulevard Jean Moulin, 13385 Marseille, France.

出版信息

Future Microbiol. 2020 Feb;15:189-201. doi: 10.2217/fmb-2019-0256. Epub 2020 Feb 17.

Abstract

In an Emergency Department (ED), the etiological identification of infected subjects is essential. 13 infection-related biomarkers were assessed using a new flow cytometry procedure. If subjects presented with febrile symptoms at the ED, 13 biomarkers' levels, including CD64 on neutrophils (nCD64) and CD169 on monocytes (mCD169), were tested and compared with clinical records. Among 50 subjects, 78% had bacterial infections and 8% had viral infections. nCD64 showed 82% sensitivity and 91% specificity for identifying subjects with bacterial infections. mCD169, HLA-ABC ratio and HLA-DR on monocytes had high values in subjects with viral infections. Biomarkers showed promising performances to improve the ED's infectious stratification.

摘要

在急诊科(ED),确定感染患者的病因至关重要。使用一种新的流式细胞术程序评估了 13 种与感染相关的生物标志物。如果 ED 就诊的患者有发热症状,则测试并比较了包括中性粒细胞 CD64(nCD64)和单核细胞 CD169(mCD169)在内的 13 种生物标志物的水平与临床记录。在 50 名患者中,78%有细菌感染,8%有病毒感染。nCD64 对细菌感染患者的识别具有 82%的灵敏度和 91%的特异性。在病毒感染患者中,单核细胞的 mCD169、HLA-ABC 比值和 HLA-DR 具有较高的值。生物标志物在改善 ED 的感染分层方面表现出良好的性能。

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