Identification of Prognostic Factors for Sepsis or Septic Shock Patients with Cardiac Dysfunction

Area of Science:

• Cardiology
• Critical Care Medicine
• Biomarkers

Background:

• Sepsis-induced cardiac dysfunction (SIC) poses significant mortality risks.
• Current prognostic tools for SIC lack comprehensive multi-index utility.
• Identifying reliable predictors for short-term outcomes in SIC is clinically crucial.

Purpose of the Study:

• To develop and validate a "risk score" for predicting 28-day mortality in patients with SIC.
• To identify key clinical indexes that serve as independent risk factors for SIC mortality.
• To establish prognostic thresholds for critical biomarkers in SIC.

Main Methods:

• Lasso regression and COX regression analyses were employed.
• Independent risk factors for 28-day mortality were identified.
• Prognostic thresholds for C-reactive protein (CRP) and NT-proBNP were determined.

Main Results:

• A history of diabetes, CRP, and NT-proBNP on day 3 were identified as independent risk factors for 28-day mortality.
• The high-risk group identified by the Cox regression analysis showed a hazard ratio of 24.74 (95% CI: 5.90-103.71).
• Prognostic thresholds were established at 83.3 mg/L for CRP and 1720.7 ng/L for NT-proBNP.

Conclusions:

• A novel "risk score" model incorporating diabetes history, CRP, and NT-proBNP effectively predicts 28-day mortality in SIC patients.
• This multi-index approach provides valuable short-term prognostic insight.
• The developed risk score can aid clinicians in risk stratification and management of SIC.