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Intravenous Endotoxin Challenge in Healthy Humans: An Experimental Platform to Investigate and Modulate Systemic Inflammation
Published on: May 16, 2016
Systemic Inflammation: Methodological Approaches to Identification of the Common Pathological Process
N V Zotova1,2, V A Chereshnev1,2, E Yu Gusev1,2
1Laboratory of immunology of inflammation, Institute of immunology and physiology of UB RAS, Yekaterinburg, Russian Federation.
Systemic inflammation (SI) can be identified using new scales measuring inflammatory mediators and clinical markers. These scales accurately predict SI development and patient outcomes in critical conditions.
Area of Science:
- Pathology
- Biochemistry
- Clinical Medicine
Background:
- Systemic inflammation (SI) is a complex pathological process involving widespread inflammatory responses.
- Accurate identification of SI is crucial for patient management and outcome prediction.
- Existing methods for assessing SI may not fully capture its systemic nature.
Purpose of the Study:
- To develop and validate methodological approaches for identifying Systemic Inflammation (SI).
- To establish reliable scales for quantifying the probability and severity of SI.
- To assess the predictive value of these scales for patient outcomes.
Main Methods:
- Development of two scales: Reactivity Level (RL) scale (0-5 points) and Systemic Inflammation (SI) scale.
- RL scale measures plasma concentrations of IL-6, IL-8, IL-10, TNF-α, and C-reactive protein.
- SI scale incorporates RL with additional criteria: D-dimers, cortisol, troponin I, and myoglobin levels.
Main Results:
- The study included 422 patients with septic (n=207) and aseptic (n=215) pathologies.
- SI was identified in 190 cases (45%), with a lethality rate of 38.4%.
- SI was present in 100% of septic shock cases (n=31) and showed comparable predictive accuracy for mortality to SOFA score in sepsis and trauma.
Conclusions:
- The developed RL and SI scales provide a robust method for identifying Systemic Inflammation.
- These scales demonstrate significant potential in predicting patient outcomes, including lethality.
- The findings support the utility of these scales in clinical practice for managing patients with critical illnesses.
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