Conclusions
sepsis
SEPSIS
The current study utilized metabolomics and machine learning algorithms to identify distinct metabolites associated with the diagnosis and prognosis of sepsis patients. Investigating the association between metabolic characteristics and sepsis offers novel insights into the underlying biological mechanisms, which may potentially enhance the diagnosis and treatment of sepsis.