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ABSTRACT: Objectives
Sepsis causes significant mortality. However, most patients who die of sepsis do not present with severe infection, hampering efforts to deliver early, aggressive therapy. It is also known that the host gene expression response to infection precedes clinical illness. This study seeks to develop transcriptomic models to predict progression to sepsis or shock within 72 hours of hospitalization and to validate previously identified transcriptomic signatures in the prediction of 28-day mortality.Design
Retrospective differential gene expression analysis and predictive modeling using RNA sequencing data.Patients
Two hundred seventy-seven patients enrolled at four large academic medical centers; all with clinically adjudicated infection were considered for incl
SUBMITTER: Fiorino C
PROVIDER: S-EPMC9671818 | biostudies-literature | 2022 Dec
REPOSITORIES: biostudies-literature