Stratified delirium risk using prescription medication data in a state-wide cohort.

ABSTRACT:

Objective

Delirium is a common condition associated with increased morbidity and mortality. Medication side effects are a possible source of modifiable delirium risk and provide an opportunity to improve delirium predictive models. This study characterized the risk for delirium diagnosis by applying a previously validated algorithm for calculating central nervous system adverse effect burden arising from a full medication list.

Method

Using a cohort of hospitalized adult (age 18-65) patients from the Massachusetts All-Payers Claims Database, we calculated medication burden following hospital discharge and characterized risk of new coded delirium diagnosis over the following 90 days. We applied the resulting model to a held-out test cohort.

Results

The cohort included

SUBMITTER: McCoy TH 

PROVIDER: S-EPMC8249339 | biostudies-literature | 2021 Jul-Aug

REPOSITORIES: biostudies-literature