Identifying Predictive Biomarkers for Sepsis in Trauma-Induced Systemic Inflammatory Response Syndrome Using...

Area of Science:

• Biomarker discovery
• Proteomics
• Trauma critical care

Background:

• Sepsis is a fatal complication in trauma patients, often masked by trauma-induced systemic inflammatory response syndrome (SIRS).
• Early identification of sepsis risk in trauma patients with SIRS is crucial for timely intervention.
• This study aimed to find predictive biomarkers for sepsis in trauma patients experiencing SIRS.

Purpose of the Study:

• To identify predictive biomarkers for sepsis in patients with trauma-induced SIRS.
• To develop an accurate and efficient predictive panel for early sepsis detection.

Main Methods:

• Retrospective analysis of plasma proteomics data from 62 severe trauma patients.
• Comparison of protein expression between SIRS patients who developed sepsis (SDS) and those who did not (SDDS).
• Identification and validation of differentially expressed proteins as predictive biomarkers.

Main Results:

• Fifteen differentially expressed proteins were identified between SDS and SDDS groups.
• Top biomarkers include ANXA6 (AUC=0.881), FA12 (AUC=0.873), TRY2 (AUC=0.868), FIBG (AUC=0.759), and DOPD (AUC=0.745).
• A combined panel of ANXA6 and FIBG demonstrated high predictive performance (AUC=0.9652).

Conclusions:

• Predictive biomarkers for sepsis in trauma-induced SIRS were identified.
• Integrating coagulation and inflammatory markers improved diagnostic performance with fewer indicators.
• These findings support the development of early predictive panels for sepsis in trauma patients.