Aims * To identify patients that should remain admitted in hospital for more intense surveillance because of high risk for development of clinical complications * Expand the understanding of the interactions between physiology and immunology for the design of future projects and general knowledge Hypothesis Development of a risk model based on a combination of physiological and immunological parameters can contribute to early detection of patients at risk for clinical complications after anti-cancer treatment.
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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
occurrence of cytokine release syndrom
Timeframe: 30 days
Sandra Egedie Lyby Taylor Pitter, MD