Validation of a Risk Assessment Model for Postoperative Delirium Based on Artificial Intelligence

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).

Inclusion Criteria:Surgical patients ≥60 years oldPlanned postoperative hospital stay ≥ 2 daysConsent from patientExclusion Criteria:Preoperative deliriumInsufficient knowledge in German or FrenchIntracranial surgeryCardiac surgerySurgery within the two previous weeksPatient unable to consent