Abstract
Construction of the Metabolomics-Based Prognosis-Prediction Models for ICU Septic Patients
Highlights
Sepsis is defined as a life-threatening organ dysfunction caused by a dysregulated host response to pathogens [1]
It was observed that the heart rate (HR), serum cholinesterase, sequential organ failure assessment score (SOFA), and APACHE II values were lower in 28dsurvival group (28dS) than those in 28d-death group (28dD), while the 24h urine volume was significantly higher (P < 0.05)
It was observed that the results of indicators such as HR, red blood cell volume distribution width, thrombin time, SOFA, and APACHE II decreased significantly, while serum cholinesterase and lipase significantly increased in the 90d-survival group (90dS) group than those in the 90d-death group (90dD) (P < 0.05) group
Summary
Sepsis is defined as a life-threatening organ dysfunction caused by a dysregulated host response to pathogens [1] It is the primary cause of morbidity and mortality in critically ill patients and is a substantial healthcare issue worldwide [2, 3]. Metabolomics is an emerging discipline, which measures and researches the endogenous small molecular compounds or metabolites in the body [8] It provides information on metabolite-concentration changes, data on metabolic alterations that reflect further downstream from genomics, and reveals disease-related biomarkers or potential mechanisms [9, 10]. Metabolomics could directly reflect the potential biochemical activities and a cell’s state in a given time Various analytical methods, such as nuclear magnetic resonance (NMR), gas chromatography/mass spectrometry (GC/MS), and liquid chromatography/mass spectrometry (LC/MS), have been used in metabolomics research. Our goal is to present an effective and rapid method to assess the prognosis of sepsis
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