Table 4 Genomic predictors of sepsis mortality
From: A community approach to mortality prediction in sepsis via gene expression analysis
Model name | Direction of change in patients with mortality | Genomic features |
|---|---|---|
Duke | Up (5 genes) | TRIB1, CKS2, MKI67, POLD3, PLK1 |
Down (13 genes) | TGFBI, LY86, CST3, CBFA2T3, RCBTB2, TST, CX3CR1, CD5, MTMR11, CLEC10A, EMR3, DHRS7B, CEACAM8 | |
Sage LR | Up (9 genes) | CFD, DDIT4, DEFA4, IFI27, IL1R2, IL8, MAFF, OCLN, RGS1 |
Down (9 genes) | AIM2, APH1A, CCR2, EIF5A, GSTM1, HIST1H3H, NT5E, RAB40B, VNN3 | |
Sage RF | Up (13 genes) | B4GALT4, BPI, CD24, CEP55, CTSG, DDIT4, G0S2, MPO, MT1G, NDUFV2, PAM, PSMA6, SEPP1 |
Down (4 genes) | ABCB4, CTSS, IKZF2, NT5E | |
Stanford | Up (8 genes) | DEFA4, CD163, PER1, RGS1, HIF1A, SEPP1, C11orf74, CIT |
Down (4 genes) | LY86, TST, OR52R1, KCNJ2 |
