m-EASIX (better than EASIX) predicts severe CAR T-cell toxicities, worse overall survival, and discriminates cytokine release syndrome from sepsis
Moreno-Castaño AB, Fernández S, Brillembourg H, Iraola G, Moreno DF, Ventosa-Capell H, Martinez-Sanchez J, De Moner B, Molina P, Ramos A, Palomo M, Gómez-Ramírez P, Ortiz-Maldonado V, Martínez-Cibrián N, Delgado J, Oliver-Caldés A, Fernández de Larrea C, Salas MQ, Urbano Á, Téllez A, Nicolás JM, Juan M, González-Navarro A, Penack O, Escolar G, Carreras E, Fernández-Avilés F, Castro P, Diaz-Ricart M.
Front Immunol
Background: Cytokine Release Syndrome (CRS) and Immune Effector Cell-Associated Neurotoxicity Syndrome (ICANS) are life-threatening complications that often arise after CAR T-cell immunotherapy. Endothelial dysfunction is believed to play a central role in their development, leading to the interest in biomarker-based tools for diagnosis and differentiating these toxicities from sepsis. This study aimed to evaluate the Endothelial Activation Stress Index (EASIX) and its modified version (m-EASIX, which replaces creatinine with C-reactive protein CRP) as early predictors of severe CRS and ICANS, as well as tools to distinguish CRS from sepsis.
Methods: One hundred and nineteen patients treated with CAR T-cell therapy for CD19-positive hematologic malignancies (n=94) or multiple myeloma (n=23) were included. EASIX and m-EASIX scores were measured at various time points: before CAR T-cell infusion, 24-48 hours post-infusion, at CRS or ICANS onset, and after treatment for each toxicity. A comparator group of 129 sepsis patients, including 86 with hematologic malignancies, was also analyzed.
Results: Both EASIX and m-EASIX correlated with biomarkers of endotheliopathy, with m-EASIX showing stronger predictive power for severe toxicities and ICU admission. Higher EASIX and m-EASIX values at early time points were associated with worse overall survival (OS). Furthermore, m-EASIX accurately distinguished CRS from sepsis at symptom onset.
Conclusions: m-EASIX is a practical and accessible tool for the early prediction of severe CAR T-cell-related toxicities, risk stratification, and differential diagnosis from sepsis, offering potential to guide clinical decision-making and early intervention.
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