A biomarker panel to discriminate between systemic inflammatory response syndrome and sepsis and sepsis severity

Punyadeera, Chamindie, Schneider, E. Marion, Schaffer, Dave, Hsu, Hsin-Yun, Joos, Thomas O., Kriebel, Fabian, Weiss, Manfred and Verhaegh, Wim F.J. (2010) A biomarker panel to discriminate between systemic inflammatory response syndrome and sepsis and sepsis severity. Journal of Emergencies, Trauma and Shock (JETS), 3 1: 26-35.


Author Punyadeera, Chamindie
Schneider, E. Marion
Schaffer, Dave
Hsu, Hsin-Yun
Joos, Thomas O.
Kriebel, Fabian
Weiss, Manfred
Verhaegh, Wim F.J.
Title A biomarker panel to discriminate between systemic inflammatory response syndrome and sepsis and sepsis severity
Journal name Journal of Emergencies, Trauma and Shock (JETS)   Check publisher's open access policy
ISSN 0974-2700
Publication date 2010-01
Sub-type Article (original research)
DOI 10.4103/0974-2700.58666
Volume 3
Issue 1
Start page 26
End page 35
Total pages 10
Place of publication India
Publisher Medknow Publications and Media Pvt. Ltd.
Collection year 2011
Language eng
Formatted abstract Introduction:
In this study, we report on initial efforts to discover putative biomarkers for differential diagnosis of a systemic inflammatory response syndrome (SIRS) versus sepsis; and different stages of sepsis. In addition, we also investigated whether there are proteins that can discriminate between patients who survived sepsis from those who did not.

Materials and Methods:

Our study group consisted of 16 patients, of which 6 died and 10 survived. We daily measured 28 plasma proteins, for the whole stay of the patients in the ICU.

Results:

We observed that metalloproteinases and sE-selectin play a role in the distinction between SIRS and sepsis, and that IL-1, IP-10, sTNF-R2 and sFas appear to be indicative for the progression from sepsis to septic shock. A combined measurement of MMP-3, -10, IL-1, IP-10, sIL-2R, sFas, sTNF-R1, sRAGE, GM-CSF, IL-1 and Eotaxin allows for a good separation of patients that survived from those that died (mortality prediction with a sensitivity of 79% and specificity of 86%). Correlation analysis suggests a novel interaction between IL-1a and IP-10.

Conclusion:

The marker panel is ready to be verified in a validation study with or without therapeutic intervention.
Keyword Biomarker
Cellular mechanism
Sepsis outcome
Sepsis stage
SIRS
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Non HERDC
Australian Institute for Bioengineering and Nanotechnology Publications
 
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Created: Thu, 24 Mar 2011, 13:47:17 EST by Melanie Gibbons on behalf of Aust Institute for Bioengineering & Nanotechnology