Abstract 44: Associations of Atrial Fibrillation, Neuroimaging Measures of Cerebrovascular Disease and Alzheimer’S Disease-related Pathology, and Cognitive Impairment
The objective of this study was to investigate the cross-sectional associations of atrial fibrillation with neuroimaging measures of cerebrovascular disease and Alzheimer’s disease-related pathology, and their interaction with cognitive impairment. MRI scans of non-demented individuals (n=1044) from the population-based Mayo Clinic Study of Aging were analyzed for infarctions, total grey matter, hippocampal and white matter hyperintensity volumes. A subset of 496 individuals underwent FDG and C-11 Pittsburgh compound B (PiB) PET scans. We assessed the associations of atrial fibrillation with i) categorical MRI measures (cortical and subcortical infarctions) using multivariable logistic regression models, and with ii) continuous MRI measures ( hippocampal, total grey matter, and white matter hyperintensity volumes) and FDG-PET and PiB-PET measures using multivariable linear regression models, and adjusting for confounders. Among participants who underwent MRI (median age, 77.8, 51.6% male), 13.5% had atrial fibrillation. Presence of atrial fibrillation was associated with subcortical infarctions (odds ratio [OR], 1.83; p=0.002), cortical infarctions (OR, 1.91; p=0.03), total grey matter volume (Beta [β], -.025, p<.0001) after controlling for age, education, gender, APOE e4 carrier status, coronary artery disease, diabetes, history of clinical stroke, and hypertension. However, atrial fibrillation was not associated with white matter hyperintensity volume, hippocampal volume, Alzheimer’s pattern of FDG hypometabolism or PiB uptake. There was a significant interaction of cortical infarction (p for interaction=0.004) and subcortical infarction (p for interaction =0.015) with atrial fibrillation with regards to odds of mild cognitive impairment (MCI). Using subjects with no atrial fibrillation and no infarction as the reference, the OR (95% confidence intervals [CI]) for MCI was 2.98 (1.66, 5.35;p = 0.0002) among participants with atrial fibrillation and any infarction, 0.69 (0.36, 1.33;p= 0.27) for atrial fibrillation and no infarction, and 1.50 (0.96, 2.32;p = 0.07) for no atrial fibrillation and any infarction. These data highlight that atrial fibrillation is associated with MCI in the presence of infarctions.
Mortality in Mild Cognitive Impairment Varies by Subtype, Sex, and Lifestyle Factors: The Mayo Clinic Study of Aging
Background: Etiologic differences in mild cognitive impairment (MCI) subtypes may impact mortality. Objective: To assess the rate of death in MCI overall, and by subtype, in the population-based Mayo Clinic Study of Aging. Methods: Participants aged 70–89 years at enrollment were clinically evaluated at baseline and 15-month intervals to assess diagnoses of MCI and dementia. Mortality in MCI cases versus cognitively normal (CN) individuals was estimated using Cox proportional hazards models. Results: Over a median follow-up of 5.8 years, 331 of 862 (38.4%) MCI cases and 224 of 1,292 (17.3%) cognitively normal participants died. Compared to CN individuals, mortality was elevated in persons with MCI (hazard ratio [HR] = 2.03; 95% CI: 1.61 to 2.55), and was higher for non-amnestic MCI (naMCI; HR = 2.47; 95% CI: 1.80 to 3.39) than for amnestic MCI (aMCI; HR = 1.89; 95% CI: 1.48 to 2.41) after adjusting for confounders. Mortality varied significantly by sex, education, history of heart disease, and engaging in moderate physical exercise (p for interaction <0.05 for all). Mortality rate estimates were highest in MCI cases who were men, did not exercise, had heart disease, and had higher education versus CN without these factors, and for naMCI cases versus aMCI cases without these factors. Conclusions: These findings suggest stronger impact of etiologic factors on naMCI mortality. Prevention of heart disease, exercise vigilance, may reduce MCI mortality and delayed MCI diagnosis in persons with higher education impacts mortality.
Relative Intake of Macronutrients Impacts Risk of Mild Cognitive Impairment or Dementia
AbstractIntroductionThe objective of our study was to investigate cross‐sectional associations of atrial fibrillation with neuroimaging measures of cerebrovascular disease and Alzheimer's disease and their interactions with mild cognitive impairment (MCI).MethodsMagnetic resonance imaging scans of individuals from a population‐based study were analyzed for infarctions, total gray matter, and hippocampal and white matter hyperintensity volumes. A subsample underwent positron emission tomography imaging.ResultsAtrial fibrillation was associated with infarctions and lower total gray matter volume. Compared with subjects with no atrial fibrillation and no infarction, the odds ratio (95% confidence intervals) for MCI was 2.99 (1.57–5.70; P = .001) among participants with atrial fibrillation and infarction, 0.90 (0.45–1.80; P = .77) for atrial fibrillation and no infarction, and 1.50 (0.96–2.34; P = .08) for no atrial fibrillation and any infarction.DiscussionParticipants with both atrial fibrillation and infarction are more likely to have MCI than participants with either infarction or atrial fibrillation alone.
Objectives To determine the association between multiple chronic conditions and risk of incident mild cognitive impairment ( MCI ) and dementia. Design Prospective cohort study. Setting Olmsted County, Minnesota. Participants Cognitively normal individuals (N = 2,176) enrolled in the Mayo Clinic Study of Aging ( MCSA ). Measurements Participants were randomly selected from the community, evaluated by a physician, and underwent neuropsychometric testing at baseline and at 15‐month intervals to assess diagnoses of MCI and dementia. Information on International Classification of Diseases, Ninth Revision codes for chronic conditions in the 5 years before enrollment was electronically captured using the Rochester Epidemiology Project medical records linkage system. Multimorbidity was defined as having two or more chronic conditions, and the association between multimorbidity and MCI and dementia was examined using Cox proportional hazards models. Results Of 2,176 cognitively normal participants (mean age ± standard deviation 78.5 ± 5.2; 50.6% male), 1,884 (86.6%) had multimorbidity. The risk of MCI or dementia was higher in persons with multimorbidity (hazard ratio ( HR ) = 1.38, 95% confidence interval ( CI ) = 1.05–1.82) than in those with one or no chronic condition. The HR was of greater magnitude in persons with four or more conditions ( HR = 1.61, 95% CI = 1.21–2.13) than in those with two or three conditions ( HR = 1.03, 95% CI = 0.76–1.39) and for men with multimorbidity( HR = 1.53, 95% CI = 1.01–2.31) than for women with multimorbidity ( HR = 1.20, 95% CI = 0.83–1.74), compared to those with one or no chronic condition. Conclusion In older adults, having multiple chronic conditions is associated with greater risk of MCI and dementia. This is consistent with the hypothesis that multiple etiologies may contribute to MCI and late‐life dementia. Preventing chronic diseases may be beneficial in delaying or preventing MCI and dementia.