Functional MRI-based machine learning strategy for prediction of postoperative delirium in cardiac surgery patients: A secondary analysis of a prospective observational study.

Study Objective: Delirium is a common complication after cardiac surgery and is associated with poor prognosis. An effective delirium prediction model could identify high-risk patients who might benefit from targeted prevention strategies. We introduce machine learning models that employ resting-state functional MRI datasets obtained before surgery to predict postoperative delirium.

Association of Preexisting Neurocognitive Impairments and Perioperative Neurocognitive Disorders for Hip Joint Replacement Surgery: A Prospective Cohort Study.

BACKGROUND The association of preexisting neurocognitive impairments with perioperative neurocognitive disorders is not well-established. The objective of this study was to record incidences of perioperative neurocognitive disorders, to record changes in perioperative neurocognition, and to analyze factors of perioperative neurocognitive changes after hip joint replacement surgeries. MATERIAL AND METHODS Patients scheduled for hip joint replacement surgery were included in the test group (n=499) and patients with osteoarthritis but who were not planned for any type of surgeries were included in the control group (n=499).

FKBP51 is associated with early postoperative cognitive dysfunction in elderly patients undergoing hip fracture surgery.

Enhanced inflammation response was increasingly reported in association with postoperative cognitive dysfunction (POCD). Glucocorticoid receptor (GR) signal plays a key role in suppression of inflammation. This prospective cohort study aimed to evaluate GR signaling in elderly patients undergoing selective operation.