This is a prospective observational physiopathological study aimed at evaluating the immunological and inflammatory determinants associated with the prognosis of patients admitted to intensive care units (ICU). The study will establish multidimensional models predicting one-year survival and the occurrence of nosocomial infections. Patients admitted to ICU undergo routine biological sampling. In addition to these, minimal supplementary samples will be collected for immunological and inflammatory biomarker analysis at admission, day 1, day 4, day 8, ICU discharge or day 28, and at 12 months. Additional samples may be taken during clinically significant events (nosocomial infections, complications).
Study Type
OBSERVATIONAL
Enrollment
540
AP-HP Laribosière Hospital, Anesthesia and Critical Care Departement
Paris, France
RECRUITINGOverall survival of patients admitted to intensive care.
Difference in overall survival between ISU patients with different immunological and inflammatory profiles upon completion of the 12-month follow-up period.
Time frame: 12 months
Multidimensional flow cytometry leukocyte profiling
The isolated cell samples will be analyzed to determine the absolute number and percentage of B cells, monocytes, CD4+ and CD8+ T cells, CD3+CD56+ NKT cells, and NK cells
Time frame: Change from baseline to 12 months
Inflammatory profile of ICU patients
Inflammation-related protein biomarkers will be analyzed using Olink assay
Time frame: Change from baseline to 12 months
Change in SOFA Score
Sequential Organ Failure Assessment (SOFA) Score included the degree of dysfunction of six organ systems (Respiratory, Cardiovascular, Liver, Renal, Coagulation, Neurologic). Minimum score = 0 maximum score = 24. Higher scores indicate greater degree of dysfunction.
Time frame: Change from baseline to day 7
Transcriptomic (scRNAseq) profiling of isolated leukocytes
Change in the transcriptome of leukocytes isolated from blood, bronchoalveolar lavage fluid (BAL), cerebrospinal fluid (CSF), urine, and tissues, as measured by single cell RNA-sequencing using Flex technology
Time frame: Change from baseline to12 months
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