Literature DB >> 32878992

Association of anticholinergic medications and AD biomarkers with incidence of MCI among cognitively normal older adults.

Alexandra J Weigand1, Mark W Bondi1, Kelsey R Thomas1, Noll L Campbell1, Douglas R Galasko1, David P Salmon1, Daniel Sewell1, James B Brewer1, Howard H Feldman1, Lisa Delano-Wood2.   

Abstract

OBJECTIVE: To determine the cognitive consequences of anticholinergic medications (aCH) in cognitively normal older adults as well as interactive effects of genetic and CSF Alzheimer disease (AD) risk factors.
METHODS: A total of 688 cognitively normal participants from the Alzheimer's Disease Neuroimaging Initiative were evaluated (mean age 73.5 years, 49.6% female). Cox regression examined risk of progression to mild cognitive impairment (MCI) over a 10-year period and linear mixed effects models examined 3-year rates of decline in memory, executive function, and language as a function of aCH. Interactions with APOE ε4 genotype and CSF biomarker evidence of AD pathology were also assessed.
RESULTS: aCH+ participants had increased risk of progression to MCI (hazard ratio [HR] 1.47, p = 0.02), and there was a significant aCH × AD risk interaction such that aCH+/ε4+ individuals showed greater than 2-fold increased risk (HR 2.69, p < 0.001) for incident MCI relative to aCH-/ε4-), while aCH+/CSF+) individuals demonstrated greater than 4-fold (HR 4.89, p < 0.001) increased risk relative to aCH-/CSF-. Linear mixed effects models revealed that aCH predicted a steeper slope of decline in memory (t = -2.35, p = 0.02) and language (t = -2.35, p = 0.02), with effects exacerbated in individuals with AD risk factors.
CONCLUSIONS: aCH increased risk of incident MCI and cognitive decline, and effects were significantly enhanced among individuals with genetic risk factors and CSF-based AD pathophysiologic markers. Findings underscore the adverse impact of aCH medications on cognition and the need for deprescribing trials, particularly among individuals with elevated risk for AD.
© 2020 American Academy of Neurology.

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Year:  2020        PMID: 32878992      PMCID: PMC7713781          DOI: 10.1212/WNL.0000000000010643

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


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