Identification of Clinically Significant Cytokine Signature Clusters in Patients With Septic Shock

Area of Science:

• Immunology
• Critical Care Medicine
• Data Science

Background:

• Septic shock is a life-threatening condition characterized by dysregulated immune responses.
• Cytokine profiles are crucial biomarkers for assessing disease severity and predicting outcomes in septic shock.

Purpose of the Study:

• To identify distinct cytokine signature clusters in patients with septic shock.
• To correlate these cytokine profiles with clinical outcomes, including mortality.

Main Methods:

• A prospective observational cohort study was conducted with 114 adult patients with septic shock.
• Cytokine levels were measured at enrollment and 24 hours later.
• Unsupervised random forest analysis was used to identify cytokine clusters based on changes over time.

Main Results:

• Three distinct cytokine signature clusters were identified.
• Cluster 1 showed low, decreasing cytokine levels, while clusters 2 and 3 had higher levels with different trajectories.
• Clusters 2 and 3 exhibited significantly higher mortality rates compared to cluster 1.
• Cluster 3 was independently associated with in-hospital mortality.

Conclusions:

• Longitudinal cytokine profiling can reveal distinct patient clusters in septic shock.
• These cytokine signatures correlate with clinical outcomes and mortality.
• The identified clusters offer potential for improved patient stratification and therapeutic strategies.