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The influence of early hemodynamic optimization on biomarker patterns of severe sepsis and septic shock*

Rivers, Emanuel P., Kruse, James A., Jacobsen, Gordon, Shah, Kant, Loomba, Manisha, Otero, Ronny, Childs, Ed W.·2007·Critical Care Medicine

Abstract

BACKGROUND: Despite abundant experimental studies of biomarker patterns in early severe sepsis and septic shock, human data are few. Further, the impact of the severity of global tissue hypoxia resulting from resuscitative strategies on these early biomarker patterns remains unknown. METHODS: The temporal patterns of interleukin-1 receptor antagonist, intercellular adhesion molecule-1, tumor necrosis factor-alpha, caspase-3, and interleukin-8 were serially examined over the first 72 hrs of hospitalization after early hemodynamic optimization strategies of early goal-directed vs. standard therapy for severe sepsis and septic shock patients. The relationship of these biomarker patterns to each hemodynamic optimization strategy, severity of global tissue hypoxia (reflected by lactate and central venous oxygen saturation), organ dysfunction, and mortality were examined. RESULTS: Abnormal biomarker levels were present upon hospital presentation and modulated to distinct patterns within 3 hrs based on the hemodynamic optimization strategy. The temporal expression of these patterns over 72 hrs was significantly associated with the severity of global tissue hypoxia, organ dysfunction, and mortality. CONCLUSION: In early severe sepsis and septic shock, within the first 3 hrs of hospital presentation, distinct biomarker patterns emerge in response to hemodynamic optimization strategies. A significant association exists between temporal biomarker patterns in the first 72 hrs, severity of global tissue hypoxia, organ dysfunction, and mortality. These findings identify global tissue hypoxia as an important contributor to the early inflammatory response and support the role of hemodynamic optimization in supplementing other established therapies during this diagnostic and therapeutic "window of opportunity."

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Metadata

Authors
Rivers, E. P., Kruse, J. A., Jacobsen, G., Shah, K., Loomba, M., Otero, R., & Childs, E. W.
Venue
Critical Care Medicine
Published
2007-09
Volume
35
Issue
9
Pages
2016-2024
ISSN
0090-3493 (ISSN-L)
OpenAlex
W2091933839
Cited by
210
References
4
FWCI
17.38
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The influence of early hemodynamic optimization on biomarker patterns of severe sepsis and septic shock*. https://app.cochat.ai/papers/10.1097/01.ccm.0000281637.08984.6e
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Rivers, E. P., Kruse, J. A., Jacobsen, G., Shah, K., Loomba, M., Otero, R., & Childs, E. W. (2007). The influence of early hemodynamic optimization on biomarker patterns of severe sepsis and septic shock*. Critical Care Medicine. https://doi.org/10.1097/01.ccm.0000281637.08984.6e

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