Systemic inflammatory response index improves prognostic predictive value in intensive care unit patients with sepsis

Area of Science:

• Critical care medicine
• Infectious diseases
• Biomarker research

Background:

• Sepsis presents high mortality with complex prognostic indicators.
• The Systemic Inflammatory Response Index (SIRI) is a novel inflammatory marker with demonstrated predictive value in various conditions.
• Existing sepsis severity and prognosis assessments can be complicated.

Purpose of the Study:

• To investigate the association between SIRI and sepsis.
• To evaluate the predictive capability of SIRI for sepsis prognosis.
• To compare SIRI's prognostic value against traditional indicators.

Main Methods:

• Analysis of 401 sepsis patients.
• Multiple linear regression and logistic regression for relationship assessment.
• Restricted Cubic Spline (RCS) for dose-response analysis.
• Area Under the Curve (AUC) and Decision Curve Analysis (DCA) for prognostic evaluation.

Main Results:

• SIRI positively correlated with blood cell count and Sequential Organ Failure Assessment (SOFA) scores.
• Elevated SIRI levels significantly predicted increased risk of sepsis worsening.
• A dose-response relationship was observed, with prognosis worsening notably above SIRI 6.1.
• SIRI demonstrated superior predictive value over traditional sepsis indicators.

Conclusions:

• Higher SIRI levels are associated with increased sepsis severity and poorer patient prognosis.
• SIRI shows promise as a novel prognostic biomarker in sepsis management.
• Further clinical validation is recommended to confirm SIRI's utility in sepsis prognosis.