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Prediction Model of Long-term Cognitive Dysfunction and Delirium After Cardiac Surgery
Delirium is a clinical syndrome caused by normal dysfunction of the brain, characterized by reduced awareness and responsiveness to the environment, as well as orientation disorders, incoherent thinking and memory disorders. Delirium indicates poor recovery of cognitive function, decreased ability of daily life, may need to enter nursing homes, and even lead to adverse outcomes such as death. According to a number of clinical studies, middle-aged and elderly people are prone to delirium after undergoing major surgery. Delirium occurs in 31 % -40 % of patients over 50 years old after cardiac surgery. Compared with patients without postoperative delirium, patients with postoperative delirium had significant cognitive impairment within 1 year after cardiac surgery. The occurrence of delirium suggests that the patient 's brain has become fragile, cognitive function has begun to decline, and the risk of future dementia has increased. Secondly, delirium and dementia have overlapping clinical features and common pathogenic mechanisms. Some scholars even speculate that delirium and dementia represent different stages of a common process. It is generally believed that the peripheral immune system may be involved in the pathogenesis and progression of dementia through the dysfunctional blood-brain barrier. The activation of microglia and astrocytes leads to the release of chemokines, which can recruit peripheral immune cells to the central nervous system. At the same time, cytokines released by peripheral cells can cross the blood-brain barrier and act on glial cells to change their phenotype. This study is a prospective cohort study of patients aged 65 and over who are about to undergo elective cardiac surgery.CyTOF can achieve accurate immunophenotyping of cell populations while comprehensively and accurately detecting and analyzing cytokines and signaling pathways. Therefore, the detection of peripheral blood biomarkers may effectively predict the risk of long-term cogni
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