The Influence of Patient Characteristics on Anticholinergic Events in Older People.

ABSTRACT:

Aims

To examine patient characteristics that predict adverse anticholinergic-type events in older people.

Methods

This retrospective population-level study included 2,248 hospitalised patients. Individual data on medicines that are commonly associated with anticholinergic events (delirium, constipation and urinary retention) were identified. Patient characteristics examined were medicines with anticholinergic effects (ACh burden), age, sex, non-anticholinergic medicines (non-ACM), Charlson comorbidity index scores and ethnicity. The Akaike information criterion was used for model selection. The data were analysed using logistic regression models for anticholinergic events using the software NONMEM.

Results

ACh burden was found to be a significant independent predictor

SUBMITTER: Salahudeen MS 

PROVIDER: S-EPMC4777954 | biostudies-literature | 2015 Sep-Dec

REPOSITORIES: biostudies-literature