Analysis of septic biomarker patterns: septic state

被引:11
作者
Carlyn, Cynthia J. [1 ]
Andersen, Nancy J. [2 ]
Baltch, Aldona L. [1 ]
Smith, Raymond [1 ]
Reilly, Andrew A. [2 ]
Lawrence, David A. [2 ]
机构
[1] Stratton VA Med Ctr, Albany, NY USA
[2] New York State Dept Hlth, Wadsworth Ctr, Albany, NY 12201 USA
关键词
Sepsis; Severe sepsis; Septic shock; Cytokines; Chemokines; SEVERE SEPSIS; 2-GENE CLASSIFIER; SHOCK; PROFILES; MARKERS; INFLAMMATION; EXPRESSION; PARAMETERS; MORTALITY; SEVERITY;
D O I
10.1016/j.diagmicrobio.2015.07.003
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
Patients with infection, sepsis, severe sepsis, or septic shock were compared to each other and to healthy controls with regard to serum levels of biomarkers and clinical symptoms. Of the 15 biomarkers assayed, 9 were detectable in patients, and 4, in controls. Both proinflammatory and anti-inflammatory cytokines were detected in the patients. No single biomarker could differentiate the 3 septic levels of severity from each other; however, interleukin (IL) 1 receptor antagonist (IL-Ira) had the best sensitivity and specificity for differentiating sepsis and severe sepsis from septic shock. IL-6 was the only cytokine able to differentiate infected patients without signs of sepsis from those with sepsis. Although IL-1ra, IL-6, IL-8, and monocyte chemoattractant protein 1 could differentiate infection, sepsis, and severe sepsis from septic shock, the biomarkers could not differentiate sepsis from severe sepsis. The top scoring pair algorithm with clinical and biomarker analyses was able to correctly diagnose those with sepsis who will progress to a more severe state. (C) 2015 Elsevier Inc. All rights reserved.
引用
收藏
页码:312 / 318
页数:7
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