Extended Data Fig. 5: Immune dysregulation framework applied to 30-day mortality in SUBSPACE datasets.
From: A consensus immune dysregulation framework for sepsis and critical illnesses

(a). The immune dysregulation framework applied to SUBSPACE co-normalized data. Cut-offs are defined by a Z-score of 1.65 relative to healthy patients. Black dots represent patients with severe infectious (defined by ICU admission) while tan dots represent non-severe infections. (b). Barplot representing proportion of 30-day mortality (y-axis) by immune dysregulation framework subgroup (x-axis). Odds ratio calculated using two-sided Fisher’s exact test unadjusted for multiple comparisons comparing patients with dysregulation on any axis relative to “Balanced” subgroup. Dysregulation on either myeloid or lymphoid axis (inclusive of lymphoid dysregulation (n = 586), myeloid dysregulation (n = 125), and system-wide dysregulation (n = 896) subgroups) was associated with 30-day mortality with an odds ratio of 3.4 (95% CI 2.3 – 5.4, p = 4.1e-11) compared to patients in the balanced subgroup (n = 606).