| Title: | The anticholinergic medication index and dementia risk: evidence from the UK Biobank and All of Us research program |
| Journal: | Age and Ageing |
| Published: | 30 Oct 2025 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/41206104/ |
| DOI: | https://doi.org/10.1093/ageing/afaf326 |
Publication 19110
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Abstract
INTRODUCTION: Anticholinergic drugs are associated with adverse effects, including cognitive decline. In this study, we externally validated the Anticholinergic Medication Index (ACMI) by investigating the association between baseline anticholinergic burden and dementia risk in two large prospective cohorts: the UK Biobank (UKB) and the US All of Us (AoU) program.</p>
METHODS: We analysed data from the UKB (n = 125 260; study period, 2000-15) and AoU (92 047; 2000-22). Cox proportional hazards models, adjusted for clinical and genetic covariates with death as a competing risk, assessed the association between baseline annual ACMI-computed anticholinergic burden and dementia risk. Exploratory genetic analyses included candidate gene analysis of acetylcholine signalling pathway genes in the UKB and development of a polygenic hazard score in AoU.</p>
RESULTS: Prescription of any of the 88 ACMI-listed drugs at baseline was associated with increased dementia risk (UKB HR: 1.15, 95% CI 1.09-1.21; AoU: 1.06, 1.04-1.09) and mortality (UKB: 1.23, 1.19-1.27; AoU: 1.16, 1.13-1.19). We replicated the genetic influence of APOE on dementia risk (UKB [APOE ε4 vs ε3 carriers] HR: 2.05, 1.86-2.26; AoU: 1.61, 1.44-1.80). No significant gene-drug interactions were identified.</p>
CONCLUSION: Higher baseline ACMI scores were associated with increased risks of dementia and mortality in two large cohorts, providing external validation of the ACMI. While causal inference is not possible, these findings support the ACMI's potential utility as a prognostic tool for risk stratification and for informing future work on safer prescribing.</p>
15 Keywords
- Aged
- Aged, 80 and over
- Biological Specimen Banks
- Cholinergic Antagonists
- Dementia
- Female
- Humans
- Male
- Middle Aged
- Prospective Studies
- Risk Assessment
- Risk Factors
- UK Biobank
- United Kingdom
- United States
8 Authors
- Innocent Gerald Asiimwe
- Kate Best
- Reecha Sofat
- Oliver M Todd
- Lauren Walker
- Andrea L Jorgensen
- Andrew Clegg
- Munir Pirmohamed
1 Application
| Application ID | Title |
|---|---|
| 56653 | Pharmacogenomics to improve drug efficacy and safety |
Enabling scientific discoveries that improve human health