A robust scoring system to evaluate sepsis severity in an animal model

Area of Science:

• Sepsis research
• Animal models
• Biomedical scoring systems

Background:

• Lack of a reliable scoring system hinders comparison of sepsis outcomes in animal models.
• Existing methods do not adequately predict septic shock or mortality.
• Need for a validated tool to assess disease severity and treatment efficacy.

Purpose of the Study:

• Develop and validate a murine sepsis score (MSS) for experimental polymicrobial sepsis.
• Assess the MSS's predictive power for disease progression and mortality.
• Establish the MSS as a reliable and reproducible outcome measure.

Main Methods:

• Developed a murine sepsis score (MSS) evaluating seven clinical variables.
• Induced polymicrobial sepsis in C57BL/6 mice using fecal solution (FS).
• Monitored disease severity using MSS, analyzed inflammatory markers, and assessed bacterial dissemination and organ injury.

Main Results:

• The MSS accurately predicted sepsis progression and mortality in mice.
• Achieved high internal consistency (Cronbach alpha=0.92) and inter-rater reliability (ICC=0.96).
• An MSS of 3 predicted septic shock and death within 24 hours with 100% specificity.

Conclusions:

• The MSS is a reliable predictor of disease progression and mortality in a polymicrobial sepsis mouse model.
• The MSS can standardize outcome assessment across different experimental sepsis models.
• The MSS provides an ethically acceptable alternative endpoint to animal death.