Clinical Prediction Rule for Delirium in Patients Admitted to Medical Wards (BMJ Open)


This article addresses the development and validation of a clinical prediction rule, using variables measurable upon hospital admission, to identify patients likely to develop delirium in hospital.

The main variables analysed and included in the prediction rule are (1) age 85 years old or older, (2)  being dependent in five or more activities of daily living, and (3) taking two or more psychotropic drugs (antipsychotics, benzodiazepines, antidepressants, anticonvulsants and / or antidementia drugs).

The presence of these three predictive factors (age≥85, high level of dependence and psychotropic medication) makes it possible to rapidly classify patients on internal medicine wards according to their risk of developing delirium.

Full Text Link


Martinez, JA. Belastegui, A. [and] Basabe, I. [et al] (2012). Derivation and validation of a clinical prediction rule for delirium in patients admitted to a medical ward: an observational study. BMJ Open, September 14th 2012, Vol.2(5), e001599. (Click here to view the PubMed abstract).

[A version of this item features in Dementia: the Latest Evidence, Volume 3 Issue 6, February 2013].

About Dementia and Elderly Care News

Dementia and Elderly Care News. Wolverhampton Medical Institute: WMI. (jh)
This entry was posted in Acute Hospitals, Delirium, For Doctors (mostly), For Nurses and Therapists (mostly), For Researchers (mostly), International, Mental Health, Patient Care Pathway, Practical Advice, Quick Insights and tagged , , , , , , , , , , , , , , . Bookmark the permalink.

Leave a Reply

Fill in your details below or click an icon to log in: Logo

You are commenting using your account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s

This site uses Akismet to reduce spam. Learn how your comment data is processed.