Predicting delirium in older non-intensive care unit inpatients: development and validation of the DELIrium risK Tool (DELIKT).

ABSTRACT:

Background

Effective delirium prevention could benefit from automatic risk stratification of older inpatients using routinely collected clinical data.

Aim

Primary aim was to develop and validate a delirium prediction model (DELIKT) suitable for implementation in hospitals. Secondary aim was to select an anticholinergic burden scale as a predictor.

Method

We used one cohort for model development and another for validation with electronically available data collected within the first 24 h of admission. Included were patients aged ≥ 65, hospitalised ≥ 48 h with no stay > 24 h in an intensive care unit. Predictors, such as administrative and laboratory variables or an anticholinergic burden scale, were selected using a combination of feature selection filter method and fo

SUBMITTER: Schulthess-Lisibach AE 

PROVIDER: S-EPMC10600272 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature