Identifying predictors of medication-related harm in older populations: a latent class analysis approach.

ABSTRACT: The aim of this study was to apply latent class analysis to identify underlying groupings of predictors, including drug classes and clinical predictors, co-occurring in older people at higher risk of medication-related harm. The Adverse Drug reactions in an Ageing PopulaTion cohort was used (N = 798 patients aged ≥65 years admitted acutely to hospital). Seven drug classes; antithrombotic agents, diuretics, renin-angiotensin-aldosterone system, calcium channel blockers, beta-blocking agents, psychoanaleptics, non-steroidal anti-inflammatory drugs, and comorbidity, frailty and significant polypharmacy (10+ different drug classes) were included as potential predictors of medication-related harm. Medication-related harm outcomes included adverse drug reactions (ADR)-related hospital admissions

SUBMITTER: Brannigan R 

PROVIDER: S-EPMC12368848 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature