Postoperative delirium (POD) is a frequent postoperative complication in the elderly, characterised by fluctuating disturbances in attention, awareness, and cognition. Identifying the patients at highest risk of developing POD was the aim of the artificial intelligence (AI)-based algorithm PIPRA. This prospective cohort study is to externally validate the AI-based PIPRA algorithm. The primary endpoint is the performance (AUC) of the PIPRA algorithm in predicting POD. The secondary endpoint is the performance (AUC) of the clinicians in predicting POD (and how it compares with the performance of the PIPRA algorithm).
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Change in 4 'A's Test (4AT) to evaluate presence of POD
Timeframe: Twice daily (morning and evening) from postoperative day 1 until postoperative day 5, hospital discharge or a positive diagnosis of POD, whichever occurs first.
Change in Intensive Care Delirium Screening Checklist (ICDSC) to evaluate presence of POD
Timeframe: Twice daily (morning and evening) from postoperative day 1 until postoperative day 5, hospital discharge or a positive diagnosis of POD, whichever occurs first.