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JL Jian Liu
HW Hao Wang
HX Huimin Xiao
LJ Li Ji
YY Yonghui Yao
CC Chunshui Cao
YL Yong Liu
LH Liang Huang
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We retrospectively analyzed publicly available transcriptome profiling data (blood samples) and related clinical parameters from the GEO database (https://www.ncbi.nlm.nih.gov/geo/). Two public datasets, GSE65682 (n=760, only 479 sepsis patients with complete data for survival status) and GSE95233 (n=51), including data from 811 sepsis patients, were selected. Raw transcriptional expression profiles with clinical data were used as screening criteria, and the mean value was used when more than one probe was for a gene.

The Biological Information Database of Sepsis (BIDOS, http://www.swmubidos.com/), a database of transcriptome profiling data of patients with sepsis, was used to explore the diagnostic and prognostic roles of individual ERGs in sepsis. ERGs were acquired from the GeneCards Database (https://www.genecards.org/) [18], and 1,116 ERGs with a relevance score ≥ 7 were selected.

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