A new delirium severity score proves accurate for predicting important clinical outcomes in hospitalized patients, according to an article published in Annals of Internal Medicine.
Delirium is common among hospitalized patients and is associated with poor outcomes. The Confusion Assessment Method (CAM) is a standardized, validated measure that is widely used to screen for the presence of delirium but not its severity. Researchers hypothesized that adding a valid delirium severity measure to the CAM algorithm would be a strong independent predictor of adverse outcomes, such as prolonged hospital stay, functional and cognitive decline, nursing home placement, death, and high health care costs.
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