Sepsis and COVID-19 are both placing a major burden on societies and populations worldwide. Deregulated host response to infection is the hallmark supporting the routine use of corticosteroids (CS), a low-cost and highly efficient class of immuno-modulators, in sepsis/COVID-19. Stratifying patients based on individual immune response may improve the balance of benefit to risk of CS treatment. This proposal will integrate different approaches to define the CS sensitivity/resistance of individual patients. The partners will elaborate signatures from different characterizations of biological systems in patients with sepsis/COVID-19. Targeted approaches will define whether characteristics at the level of DNA, RNA, proteins such as cytokines and hormones, or metabolite compounds, support predicting individual patient’s CS responsiveness. Methods of artificial intelligence will integrate the high dimensional multi-level data from previous studies of this consortium and from data to be newly generated. An exploratory adaptive trial will include
patients with sepsis/COVID-19 in multiple arms based on novel CS responsiveness signatures to be tested. Within each biomarker-defined cohort, patients will be randomized to receive corticosteroids or placebo allowing the evaluation of the efficiency of signatures elaborated by the partners. Signatures of CS responsiveness will be integrated for predictive enrichment of CS sensitivity and resistance of each individual patient defining personalized treatment rules, and thereby improving their chance to survive in good health. We will test the robustness of the personalized corticotherapy across subsets of patients based on gender, social categories and ethnicity. We will also ensure that the proposed personalized corticotherapy for sepsis/COVID-19 can be accessed for routine care of patients in low- and middle-income countries.
Monsieur Djillali ANNANE (Fédération Hospitalo Universitaire (FHU) Saclay and Paris Seine Nord Endeavour to PerSonalize Interventions for Sepsis)
L'auteur de ce résumé est le coordinateur du projet, qui est responsable du contenu de ce résumé. L'ANR décline par conséquent toute responsabilité quant à son contenu.
SEPSIS Fédération Hospitalo Universitaire (FHU) Saclay and Paris Seine Nord Endeavour to PerSonalize Interventions for Sepsis
DAVID Données et Algorithmes pour une ville intelligente et durable
Aide de l'ANR 1 430 820 euros
Début et durée du projet scientifique : mai 2022 - 36 Mois