Tags Archives: Delirium prevention

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Early alpha power in the frontal lobe area can predict delirium after cardiac surgery

Abstract Background Delirium is a common postoperative complication in patients undergoing cardiac surgery and is associated with prolonged hospitalization and persistent cognitive impairment. This study aimed to assess the predictive..

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Intra- and early postoperative predictors of delirium risk in cardiac surgery: results from the prospective observational FINDERI study

Abstract Background:  Postoperative delirium (POD) is a severe complication following cardiac surgery and is associated with increased morbidity and mortality. The impact of intra- and early postoperative factors on the..

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Cognitive Training for Reduction of Delirium in Patients Undergoing Cardiac Surgery

Abstract IMPORTANCE  Postoperative delirium is a common and impactful neuropsychiatric complication in patients undergoing coronary artery bypass grafting surgery. Cognitive training may enhance cognitive reserve, thereby reducing postoperative delirium. OBJECTIVE  To determine..

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Effect of intranasal insulin administration on postoperative delirium prevention in elderly cardiac surgery patients: study protocol for a multicenter, double-blind,…

Abstract Background Postoperative delirium (POD) is a complication after surgery which leads to worse outcomes. The frequency of this syndrome is increasing as more elderly patients undergo major surgery. The..

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The impact of a preoperative nurse-led orientation program on postoperative delirium after cardiovascular surgery: a retrospective single-center observational study

Abstract Background Postoperative delirium in intensive care is common and associated with mortality, cognitive impairment, prolonged hospital stays and high costs. We evaluate whether a nurse-led orientation program could reduce..

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Postoperative delirium prediction using machine learning models and preoperative electronic health record data

Abstract Background Accurate, pragmatic risk stratification for postoperative delirium (POD) is necessary to target preventative resources toward high-risk patients. Machine learning (ML) offers a novel approach to leveraging electronic health..

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