An immune dysfunction score for stratification of patients with acute infection based on whole-blood gene expression.

ABSTRACT: Dysregulated host responses to infection can lead to organ dysfunction and sepsis, causing millions of global deaths each year. To alleviate this burden, improved prognostication and biomarkers of response are urgently needed. We investigated the use of whole-blood transcriptomics for stratification of patients with severe infection by integrating data from 3149 samples from patients with sepsis due to community-acquired pneumonia or fecal peritonitis admitted to intensive care and healthy individuals into a gene expression reference map. We used this map to derive a quantitative sepsis response signature (SRSq) score reflective of immune dysfunction and predictive of clinical outcomes, which can be estimated using a 7- or 12-gene signature. Last, we built a machine learning framework, Sep

SUBMITTER: Cano-Gamez E 

PROVIDER: S-EPMC7613832 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature