Infectious Disease Division, Alpert Medical School of Brown University, Ocean State Clinical Coordinating Center at Rhode Island Hospital, 1 Virginia Avenue Suite 105, Providence, RI 02905, USA.
Critical Care Department, (Pr Laterre), Cliniques Universitaires Saint-Luc, Avenue Hippocrate 10, 1200 Brussels, Belgium.
Crit Care Clin. 2020 Jan;36(1):11-22. doi: 10.1016/j.ccc.2019.08.002. Epub 2019 Oct 21.
The role of biomarkers for detection of sepsis has come a long way. Molecular biomarkers are taking front stage at present, but machine learning and other computational measures using bigdata sets are promising. Clinical research in sepsis is hampered by lack of specificity of the diagnosis; sepsis is a syndrome with no uniformly agreed definition. This lack of diagnostic precision means there is no gold standard for this diagnosis. The final conclusion is expert opinion, which is not bad but not perfect. Perhaps machine learning will displace expert opinion as the final and most accurate definition for sepsis.
生物标志物在脓毒症检测中的作用已经有了很大的发展。目前，分子生物标志物占据主导地位，但利用大数据集的机器学习和其他计算方法也很有前途。脓毒症的临床研究受到诊断特异性缺乏的阻碍；脓毒症是一种综合征，没有普遍同意的定义。这种诊断精度的缺乏意味着没有这个诊断的金标准。最终的结论是专家意见，这并不差，但也不完美。也许机器学习将取代专家意见，成为脓毒症的最终和最准确的定义。
