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ABSTRACT: Background
Despite the high morbidity and mortality associated with sepsis, the relationship between the plasma proteome and clinical outcome is poorly understood. In this study, we used targeted plasma proteomics to identify novel biomarkers of sepsis in critically ill patients.Methods
Blood was obtained from 15 critically ill patients with suspected/confirmed sepsis (Sepsis-3.0 criteria) on intensive care unit (ICU) Day-1 and Day-3, as well as age- and sex-matched 15 healthy control subjects. A total of 1161 plasma proteins were measured with proximal extension assays. Promising sepsis biomarkers were narrowed with machine learning and then correlated with relevant clinical and laboratory variables.Results
The median age for critically ill sepsis patients was 56 (
SUBMITTER: Van Nynatten LR
PROVIDER: S-EPMC9792322 | biostudies-literature | 2022 Dec
REPOSITORIES: biostudies-literature