Endothelial markers and clinical outcomes after cellular therapy. (A) ROC curve analysis for prediction of sepsis by day +50 after cellular therapy. The C-statistic (AUC) is shown for each model. The base model includes only the therapy type (CAR-T therapy vs allo-SCT = reference) as a covariate. Extended models incorporate 1 endothelial-associated variable (eg, EASIX, ANG2, or NIR) in addition to the base model. A marker was considered predictive with AUC of >0.70 and the lower bound of the 95% CI of >0.50. (B) Fine-Gray competing risks model for NRM after cellular therapy, with relapse as a competing event. Subdistribution HRs are shown. As in panel A, the base model includes CAR-T therapy vs allo-SCT = ref., while extended models evaluate the added contribution of single endothelial markers with CAR-Ts as confounder. (C) Chord diagram illustrating the absolute values of significant Spearman rank correlations between endothelial-related observables, grouped into 4 categories: GlycoCheck parameters; Tivita HSI parameters; serum cytokines; and EASIX-related variables. Each chord represents a significant correlation (P < .05, univariable Spearman rank correlation test). The color of each chord corresponds to the effect size category, reflecting the strength of the association. Only pairwise correlations meeting the significance threshold are displayed, emphasizing robust interrelationships between local and systemic markers of endothelial function. HR, hazard ratio.