Long‐term anticholinergic, benzodiazepine and Z‐drug use in community‐dwelling older adults: What is the impact on cognitive and neuropsychological performance?

BACKGROUND Long-term use of anticholinergics, benzodiazepines and related drugs (or "Z-drugs") have been associated with cognitive impairment and dementia. However, the relationship of these medications with cognitive function and domain-specific neuropsychological performance in older adults without dementia, is unclear. METHODS 5135 older adults (74.0 ± 8.3 years; 67.4% female) without a diagnosis of dementia were recruited in Ireland to the Trinity-Ulster-Department of Agriculture (TUDA) study. Detailed cognitive and neuropsychological assessment was conducted using the Mini-Mental State Examination (MMSE), Frontal Assessment Battery (FAB) and Repeatable Battery for Assessment of Neuropsychological Status (RBANS). RESULTS A total of 44% (2259 of 5153) used either a potential or definite anticholinergic medication. Overall, 9.7% (n = 500) used a definite anticholinergic medication. Regular benzodiazepine use was reported by 7% (n = 363), whilst 7.5% (n = 387) used a "Z-drug". Use of definite, but not potential anticholinergic medication was associated with poorer performance on all three assessments (β: -0.09; 95% CI: -0.14, -0.03, p = 0.002 for MMSE; β: -0.04; 95% CI: -0.06, -0.02; p < 0.001 for FAB; β: -4.15; 95% CI: -5.64, -2.66; p < 0.001 for RBANS) in addition to all domains of the RBANS. Regular benzodiazepine use was also associated with poorer neuropsychological test performance, especially in Immediate Memory (β: -4.98; 95% CI: -6.81, -3.15; p < 0.001) and Attention (β: -6.81; 95% CI: -8.60, -5.03; p < 0.001) RBANS domains. CONCLUSIONS Regular use of definite anticholinergic medications and benzodiazepines, but not potential anticholinergics or "Z-drugs", was associated with poorer overall and domain-specific neuropsychological performance in older adults

Identifying Key Predictors of Cognitive Dysfunction in Older People Using Supervised Machine Learning Techniques: Observational Study

Background: Machine learning techniques, specifically classification algorithms, may be effective to help understand key health, nutritional, and environmental factors associated with cognitive function in aging populations. Objective: This study aims to use classification techniques to identify the key patient predictors that are considered most important in the classification of poorer cognitive performance, which is an early risk factor for dementia. Methods: Data were used from the Trinity-Ulster and Department of Agriculture study, which included detailed information on sociodemographic, clinical, biochemical, nutritional, and lifestyle factors in 5186 older adults recruited from the Republic of Ireland and Northern Ireland, a proportion of whom (987/5186, 19.03%) were followed up 5-7 years later for reassessment. Cognitive function at both time points was assessed using a battery of tests, including the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS), with a score Results: In the classification of a low RBANS score ( Conclusions: The results suggest that it may be possible for a health care professional to make an initial evaluation, with a high level of confidence, of the potential for cognitive dysfunction using only a few short, noninvasive questions, thus providing a quick, efficient, and noninvasive way to help them decide whether or not a patient requires a full cognitive evaluation. This approach has the potential benefits of making time and cost savings for health service providers and avoiding stress created through unnecessary cognitive assessments in low-risk patients

Reduced Kidney Function is Associated with Poorer Domain‐Specific Cognitive Performance in Community‐Dwelling Older Adults

OBJECTIVES: Whilst chronic kidney disease has been associated with cognitive impairment, the association between reduced estimated Glomerular Filtration Rate (eGFR) and domain‐specific cognitive performance is less clear and may represent an important target for the promotion of optimal brain health in older adults. METHODS: Participants aged >60 years from the Trinity‐Ulster‐Department of Agriculture study underwent detailed cognitive assessment using the Mini‐Mental State Examination (Mini‐Mental State Examination (MMSE)), Frontal Assessment Battery (FAB) and Repeatable Battery for Assessment of Neuropsychological Status (RBANS). Poisson and linear regression models assessed the relationship between eGFR strata and cognitive performance. RESULTS: In 4887 older adults (73.9 ± 8.3 years; 67.7% female), declining eGFR strata was associated with greater likelihood of error on the MMSE/FAB and poorer overall performance on the RBANS. Following robust covariate adjustment, findings were greatest for GFR 80 years. CONCLUSIONS: Reduced kidney function was associated with poorer global and domain‐specific neuropsychological performance. Associations were strongest with eGFR <45 ml/min/1.73 m(2) and in those aged 60–70 years, suggesting that this population may potentially benefit from potential multi‐domain interventions aimed at promoting optimal brain health in older adults