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中华重症医学电子杂志 ›› 2019, Vol. 05 ›› Issue (02) : 93 -95. doi: 10.3877/cma.j.issn.2096-1537.2019.02.002

所属专题: 重症医学 总编推荐 文献

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新时代下脓毒症诊治的未来之路
谢剑锋1, 刘玲1, 杨毅1,()   
  1. 1. 210009 南京,东南大学附属中大医院重症医学科
  • 收稿日期:2019-03-25 出版日期:2019-05-28
  • 通信作者: 杨毅
  • 基金资助:
    国家自然科学基金(81671892); 江苏省医学重点学科项目(ZDXKA2016025); 江苏省重点医学人才项目(ZDRCA2016082); 江苏省科技计划项目——社会发展项目(BE2018743)

The future of sepsis diagnosis and treatment in the new era

Jianfeng Xie1, Ling Liu1, Yi Yang1,()   

  1. 1. Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China
  • Received:2019-03-25 Published:2019-05-28
  • Corresponding author: Yi Yang
  • About author:
    Corresponding author: Yang Yi, Email:
引用本文:

谢剑锋, 刘玲, 杨毅. 新时代下脓毒症诊治的未来之路[J]. 中华重症医学电子杂志, 2019, 05(02): 93-95.

Jianfeng Xie, Ling Liu, Yi Yang. The future of sepsis diagnosis and treatment in the new era[J]. Chinese Journal of Critical Care & Intensive Care Medicine(Electronic Edition), 2019, 05(02): 93-95.

基于早期诊断的合理治疗是改善脓毒症患者预后的关键,然而目前脓毒症的诊断及治疗存在不同程度的延迟。随着对脓毒症遗传、表观遗传及蛋白水平等各个分子层面机制探索的不断加深以及云计算、大数据及人工智能的飞速发展,有望构建脓毒症诊断和治疗的新体系。

Early appropriate management based on timely diagnosis is crucial for better outcome of patients with sepsis. However, to some extent, the diagnosis and treatment of sepsis usually delay in clinical practice. The deeper understanding the mechanism of sepsis on genetics, epigenetics and protein level and the rapid development of cloud computing, big data and artificial intelligence, contribute to establish a new system for sepsis diagnosis and management.

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