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Diagnosing Sepsis Through Proteomic Insights: Findings from a Prospective ICU Cohort

2025-08-27 intensive care and critical care medicine Title + abstract only
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IntroductionSepsis diagnosis remains clinical and heterogeneous. We hypothesized that a proteomics-informed machine-learning approach could identify a small, easy-to-use, and optimized set of clinical variables to complement or potentially outperform SOFA. MethodsWe conducted a prospective, single-center, observational study in an academic intensive care unit. Plasma from critically ill patients with and without sepsis was analyzed using liquid chromatography coupled with tandem mass spectromet...

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