Background: Delirium is associated with increased morbidity, mortality and health care costs in the hospital setting secondary to increased length of stay and poor long term outcomes (1,2). A systematic review of different delirium prediction models found limitations with these models including derivation from small patient populations, lack of heterogeneity, accuracy and reliability as noted [...]

Background: Delirium prevention by multicomponent interventions is proven, with strong evidence confirming its effectiveness in both medical and surgical populations. Identifying high risk patients is very important for resource allocation and utilization. Risk factors for delirium are broadly classified into predisposing and precipitating factors. Combinations of these risk factors precipitate delirium and hence a prediction [...]

Background: Delirium, an acute neuropsychiatric syndrome marked by fluctuating disturbances in attention, cognition, and consciousness, is prevalent among older hospitalized cancer patients. The Mayo Delirium Prediction (MDP) tool, designed to predict delirium risk in older adults using electronic health record (EHR) data, may help identify individuals at increased risk, thus offering valuable insights for targeted [...]