Metabolites in Blood for Prediction of Bacteremic Sepsis in the Emergency Room

摘要: A metabolomics approach for prediction of bacteremic sepsis in patients the emergency room (ER) was investigated. In a prospective study, whole blood samples from 65 with and 49 ER controls were compared. The analyzed using gas chromatography coupled to time-of-flight mass spectrometry. Multivariate logistic regression modeling metabolites identified by or conventional laboratory parameters clinical scores infection employed. predictive model 107 developed validated. number reduced stepwise until identifying set 6 metabolites. 6-metabolite showed sensitivity 0.91(95% CI 0.69-0.99) specificity 0.84 (95% 0.58-0.94) an AUC 0.93 0.89-1.01). Myristic acid single most metabolite, 1.00 0.85-1.00) 0.95 0.74-0.99), performed better than various combinations parameters. We found that analysis acute useful identification sepsis. Metabolomics should be further evaluated as new tool diagnostics.