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A Data-Driven Approach to Quantifying Immune States in Sepsis
Published on: February 7, 2025
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The systemic immune-inflammation index in predicting sepsis mortality.
Sridhar Mangalesh1, Sharmila Dudani2, Ajay Malik2
1Department of Medicine, Army College of Medical Sciences, New Delhi, India.
Postgraduate Medicine
|October 26, 2022
Summary
The systemic immune-inflammation index (SII) can predict sepsis mortality and length of stay. This inexpensive marker improves patient assessment when added to existing clinical scores.
Area of Science:
- Critical Care Medicine
- Inflammatory Markers
- Sepsis Pathophysiology
Background:
- Sepsis poses a significant threat to patient outcomes.
- Prognostic markers for sepsis are crucial for timely intervention.
- The systemic immune-inflammation index (SII) has not been previously evaluated in sepsis prognosis.
Purpose of the Study:
- To investigate the prognostic value of the systemic immune-inflammation index (SII) in patients with sepsis.
- To determine if SII can predict mortality and length of stay (LOS) in the ICU.
- To assess the incremental predictive value of SII when combined with the SOFA score.
Main Methods:
- Retrospective analysis of 267 patients with blood-culture confirmed sepsis.
- Collected clinical and laboratory data at ICU admission.
- Calculated SII, SOFA, NLR, and PLR; used regression analysis and AUROC curves to identify predictors and optimal cutoffs.
Main Results:
- The SII, NLR, and PLR were independent predictors of sepsis mortality.
- SII and SOFA score independently predicted ICU length of stay.
- SII demonstrated a significant incremental effect on the predictive ability of the SOFA score for patient outcomes.
Conclusions:
- The systemic immune-inflammation index (SII) is a valuable prognostic marker in sepsis.
- SII can be used alongside existing clinical scores to enhance patient assessment accuracy.
- This inexpensive parameter offers a practical tool for improving sepsis management.
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