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Updated: Jul 20, 2025
A Data-Driven Approach to Quantifying Immune States in Sepsis
Published on: February 7, 2025
Identification and analysis of genes associated with the severity and prognosis of sepsis
Jinxiang Hao1,1, Lirong Liang1,1, Yongduo Ma2,1
1Department of Respiratory and Critical Care Medicine, Haikou Third People's Hospital, Haikou, Hainan, China.
Background:
With rapid progression, severe illness and high fatality rate, sepsis has become an acute and critical condition that seriously threatens human life and health.
Objective:
To detect miR-210 and miR-494 expression in patients with sepsis and their relationship with severity and prognosis.
Methods:
A total of 165 sepsis patients participated, including 105 patients with septic non-shock and 60 patients with septic shock. 53 sepsis patients died in 28 days, and 112 patients survived. The clinical information of all sepsis patients was retrospectively searched and reviewed. Based on the status of 28-day survival, they were categorized into survival group and death group. The expression levels in each group were compared on the first, third and seventh day. The ROC curve was applied to know the expression level of plasma miR-210 and miR-494 to predict the death.
Results:
The two miRNAs expression of the septic shock group were significantly higher than that in sepsis non-shock group on the first, third and seventh day (all were P< 0.05). The ROC curve found that the AUC combined to predict the death on the third day was the largest, which was 0.925 (95%CI: 0.864-0.983). The sensitivity and specificity were 94.6% and 86.3%, respectively.
Conclusion:
The increased expression levels of plasma miR-210 and miR-494 are closely relevant to the severity and prognosis of sepsis patients. Combining the two items on the third day can predict the death of sepsis patients.
