Identification of Predictive Early Biomarkers for Sterile-SIRS after Cardiovascular Surgery.
Systemic inflammatory response syndrome (SIRS) is a common complication after cardiovascular surgery that in severe cases can lead to multiple organ dysfunction syndrome and even death. We therefore set out to identify reliable early biomarkers for SIRS in a prospective small patient study for timel...
Main Authors: | , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2015-01-01
|
Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC4532358?pdf=render |
id |
doaj-80c57ad982bb4cd29ccb9e3b880a9a37 |
---|---|
record_format |
Article |
spelling |
doaj-80c57ad982bb4cd29ccb9e3b880a9a372020-11-25T02:13:35ZengPublic Library of Science (PLoS)PLoS ONE1932-62032015-01-01108e013552710.1371/journal.pone.0135527Identification of Predictive Early Biomarkers for Sterile-SIRS after Cardiovascular Surgery.Sandra StoppelkampKujtim VeseliKatharina StangChristian SchlensakHans Peter WendelTobias WalkerSystemic inflammatory response syndrome (SIRS) is a common complication after cardiovascular surgery that in severe cases can lead to multiple organ dysfunction syndrome and even death. We therefore set out to identify reliable early biomarkers for SIRS in a prospective small patient study for timely intervention. 21 Patients scheduled for planned cardiovascular surgery were recruited in the study, monitored for signs of SIRS and blood samples were taken to investigate biomarkers at pre-assigned time points: day of admission, start of surgery, end of surgery, days 1, 2, 3, 5 and 8 post surgery. Stored plasma and cryopreserved blood samples were analyzed for cytokine expression (IL1β, IL2, IL6, IL8, IL10, TNFα, IFNγ), other pro-inflammatory markers (sCD163, sTREM-1, ESM-1) and response to endotoxin. Acute phase proteins CRP, PCT and pro-inflammatory cytokines IL6 and IL8 were significantly increased (p<0.001) at the end of surgery in all patients but could not distinguish between groups. Normalization of samples revealed significant increases in IL1β changes (p<0.05) and decreased responses to endotoxin (p<0.01) in the SIRS group at the end of surgery. Soluble TREM-1 plasma concentrations were significantly increased in patients with SIRS (p<0.01). This small scale patient study could show that common sepsis markers PCT, CRP, IL6 and TNFα had low predictive value for early diagnosis of SIRS after cardiovascular surgery. A combination of normalized IL1β plasma levels, responses to endotoxin and soluble TREM-1 plasma concentrations at the end of surgery are predictive markers of SIRS development in this small scale study and could act as an indicator for starting early therapeutic interventions.http://europepmc.org/articles/PMC4532358?pdf=render |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Sandra Stoppelkamp Kujtim Veseli Katharina Stang Christian Schlensak Hans Peter Wendel Tobias Walker |
spellingShingle |
Sandra Stoppelkamp Kujtim Veseli Katharina Stang Christian Schlensak Hans Peter Wendel Tobias Walker Identification of Predictive Early Biomarkers for Sterile-SIRS after Cardiovascular Surgery. PLoS ONE |
author_facet |
Sandra Stoppelkamp Kujtim Veseli Katharina Stang Christian Schlensak Hans Peter Wendel Tobias Walker |
author_sort |
Sandra Stoppelkamp |
title |
Identification of Predictive Early Biomarkers for Sterile-SIRS after Cardiovascular Surgery. |
title_short |
Identification of Predictive Early Biomarkers for Sterile-SIRS after Cardiovascular Surgery. |
title_full |
Identification of Predictive Early Biomarkers for Sterile-SIRS after Cardiovascular Surgery. |
title_fullStr |
Identification of Predictive Early Biomarkers for Sterile-SIRS after Cardiovascular Surgery. |
title_full_unstemmed |
Identification of Predictive Early Biomarkers for Sterile-SIRS after Cardiovascular Surgery. |
title_sort |
identification of predictive early biomarkers for sterile-sirs after cardiovascular surgery. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS ONE |
issn |
1932-6203 |
publishDate |
2015-01-01 |
description |
Systemic inflammatory response syndrome (SIRS) is a common complication after cardiovascular surgery that in severe cases can lead to multiple organ dysfunction syndrome and even death. We therefore set out to identify reliable early biomarkers for SIRS in a prospective small patient study for timely intervention. 21 Patients scheduled for planned cardiovascular surgery were recruited in the study, monitored for signs of SIRS and blood samples were taken to investigate biomarkers at pre-assigned time points: day of admission, start of surgery, end of surgery, days 1, 2, 3, 5 and 8 post surgery. Stored plasma and cryopreserved blood samples were analyzed for cytokine expression (IL1β, IL2, IL6, IL8, IL10, TNFα, IFNγ), other pro-inflammatory markers (sCD163, sTREM-1, ESM-1) and response to endotoxin. Acute phase proteins CRP, PCT and pro-inflammatory cytokines IL6 and IL8 were significantly increased (p<0.001) at the end of surgery in all patients but could not distinguish between groups. Normalization of samples revealed significant increases in IL1β changes (p<0.05) and decreased responses to endotoxin (p<0.01) in the SIRS group at the end of surgery. Soluble TREM-1 plasma concentrations were significantly increased in patients with SIRS (p<0.01). This small scale patient study could show that common sepsis markers PCT, CRP, IL6 and TNFα had low predictive value for early diagnosis of SIRS after cardiovascular surgery. A combination of normalized IL1β plasma levels, responses to endotoxin and soluble TREM-1 plasma concentrations at the end of surgery are predictive markers of SIRS development in this small scale study and could act as an indicator for starting early therapeutic interventions. |
url |
http://europepmc.org/articles/PMC4532358?pdf=render |
work_keys_str_mv |
AT sandrastoppelkamp identificationofpredictiveearlybiomarkersforsterilesirsaftercardiovascularsurgery AT kujtimveseli identificationofpredictiveearlybiomarkersforsterilesirsaftercardiovascularsurgery AT katharinastang identificationofpredictiveearlybiomarkersforsterilesirsaftercardiovascularsurgery AT christianschlensak identificationofpredictiveearlybiomarkersforsterilesirsaftercardiovascularsurgery AT hanspeterwendel identificationofpredictiveearlybiomarkersforsterilesirsaftercardiovascularsurgery AT tobiaswalker identificationofpredictiveearlybiomarkersforsterilesirsaftercardiovascularsurgery |
_version_ |
1724904222033444864 |