Prediction and risk evaluation of delirium after surgery in older patients: development and internal validation of an algorithm from the prospective BioCog cohort study
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The authors aimed to identify key risk factors for postoperative delirium (POD) in older surgical patients and to develop a multivariate algorithm for predicting individual risk in the early postoperative period. Utilizing data from the BioCog cohort study, they found that a gradient-boosted trees algorithm incorporating preoperative, surgical, and postoperative variables achieved a high accuracy in predicting POD, suggesting its potential utility in clinical decision-making.
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