Rawlings, Andreea M.

Abstract Background Hearing loss is a risk factor for dementia; whether the association is causal or due to a shared pathology is unknown. We estimated the association of brain β-amyloid with hearing, hypothesizing no association. As a positive control, we quantified the association of hearing loss with neurocognitive test performance. Methods Cross-sectional analysis of Atherosclerosis Risk in Communities-Positron Emission Tomography study data. Amyloid was measured using global cortical and temporal lobe standardized uptake value ratios (SUVRs) calculated from florbetapir-positron emission tomography scans. Composite global and domain-specific cognitive scores were created from 10 neurocognitive tests. Hearing was measured using an average of better-ear air conduction thresholds (0.5–4 kHz). Multivariable-adjusted linear regression estimated mean differences in hearing by amyloid and mean differences in cognitive scores by hearing, stratified by race. Results In 252 dementia-free adults (72–92 years, 37% Black race, and 61% female participants), cortical or temporal lobe SUVR was not associated with hearing (models adjusted for age, sex, education, and APOE ε4). Each 10 dB HL increase in hearing loss was associated with a 0.134 standard deviation lower mean global cognitive factor score (95% CI: −0.248, −0.019), after adjustment for demographic and cardiovascular factors. Observed hearing-cognition associations were stronger in Black versus White participants. Conclusions Amyloid is not associated with hearing, suggesting that pathways linking hearing and cognition are independent of this pathognomonic Alzheimer’s-related brain change. This is the first study to show that the impact of hearing loss on cognition may be stronger in Black versus White adults.

AbstractBackgroundDementia disproportionately impacts people of color in the U.S.. Whether these disparities are due to differences in vascular risk factors, cognitive reserve, or AD pathophysiology remains unclear.MethodBlack and White participants from four U.S. communities were recruited into the Atherosclerosis Risk in Communities (ARIC) study at ages 45‐64. Vascular risk factors were evaluated in midlife and at multiple visits over 30+ years, as were markers of cognitive reserve, with expert classification of dementia. In participants with brain MRI, brain volumes were evaluated in association with dementia. In nondemented participants in the ARIC‐PET ancillary study, florbetapir PET scans were used to quantify brain cortical amyloid; differences in levels by race, vascular risk factors, and white matter hyperintensities (WMH) were evaluated.ResultIn 15744 ARIC participants, dementia was more common in Black vs White participants. Although midlife vascular risk factors were related to dementia, the impact of these risk factors on dementia risk and cortical volumes didn’t differ by race. Lower education was nonsignificantly more strongly associated with dementia in Blacks vs Whites, and an APOE e4 allele was more strongly associated with dementia in Whites. In ARIC‐PET (N=322), vascular risk factors from midlife were associated with PET amyloid, without similar associations for late‐life risk factors; these associations did not significantly differ by race. WMH volume was more strongly associated (cross‐sectionally) with PET amyloid in Blacks vs Whites, but differences were not statistically significantly different. Finally, Blacks had an over two‐fold increased odds of elevated florbetapir PET vs Whites, independent of vascular risk factors, demographics, WMH volume, cognitive status, and APOE genotype.ConclusionConsideration of racial disparities in dementia should consider vascular risk, cognitive reserve, and social determinants of health, across the life course. Vascular risk factors do not appear to differentially impact dementia risk or brain amyloid in Blacks vs Whites, but the greater prevalence of these risk factors in Blacks must be considered. Although the A/T/N framework may clarify underlying biology contributing to Alzheimer’s disease, inclusion of these additional factors is needed to understand and reduce racial disparities in dementia rates.

Introduction: Among older adults with diabetes, cognitive dysfunction is of particular concern as it has implications for treatment adherence and diabetes self-management. The prevalence of cognitive dysfunction has not been well characterized in this population. Methods: We conducted a cross-sectional analysis of 5509 participants (1815 with diabetes) from visit 5 (2011-2013) of the ARIC Study. Diabetes was defined based on self-reported physician diagnosis, diabetes medication use, or HbA1c ≥ 6.5%. Cognitive function was measured using 8 neuropsychological tests, which were grouped into three cognitive domains representing memory, executive function, and language. Participants were categorized as having cognitive dysfunction if test scores were more than 1.5 standard deviations below age-, race-, and education-adjusted scores derived from a cognitively healthy population. We calculated crude prevalence estimates and used Poisson regression to estimate adjusted prevalence ratios (PRs), comparing cognitive dysfunction in persons with and without diabetes. We adjusted for demographic and clinical characteristics. Results: The mean age of participants was 75 years, 59% were female, 79% were white, and 33% had diabetes. In each domain, the prevalence of cognitive dysfunction among persons with diabetes ranged from 14% to 27%. Persons with diabetes were more likely than persons without diabetes to have dysfunction in multiple domains (PR = 1.29, 95% CI: 1.12, 1.49). Prevalence of cognitive dysfunction was significantly higher in persons with versus without diabetes for memory (PR=1.13, 95% CI: 1.02, 1.25), language (PR=1.24, 95% CI: 1.09, 1.45), and executive function (PR=1.10, 95% CI: 1.00, 1.22)(Figure). PRs were similar in crude models. Conclusions: The prevalence of cognitive dysfunction among older adults with diabetes is high. These results have implications for how physicians educate patients in appropriate self-management practices and for the prevention of diabetes-related complications.

Introduction: Studies have found that smaller brain volumes, cerebral infarcts, and white matter abnormalities are associated with dementia and mild cognitive impairment. However, these studies have been limited by short follow-up precluding a strong establishment of temporality. Therefore, it is unknown whether brain imaging findings are preceded by long-term changes in cognition. We sought to address this gap by examining brain imaging and two decades of cognitive changes in and a large, representative population-based cohort of older adults of black and white race. Hypothesis: We hypothesized that 22-year declines in global cognitive factor scores (GCFS) would be associated with a pattern of smaller total brain and temporal lobe meta region of interest (likely to be affected by Alzheimer’s disease) volumes, larger white matter hyperintensity volumes, and greater odds of ≥1 lacunar infarct and elevated brain β-amyloid deposition. Methods: ARIC participants with brain imaging data, complete cognitive factor score, and not missing key covariates were included. GCFS were collected at three visits across 22 years (1990-2013), and brain MRI and florbetapir PET imaging were collected in 2011-13; PET in subset of n=327. Mixed effects models with random intercepts and slopes predicted individual change in GCFS. Outcomes of interest were total brain volume (cc), temporal lobe meta region volume, log 2 (white matter hyperintensity volume), ≥1 lacunar infarct, and elevated brain β-amyloid deposition (SUVR >1.2). Multivariable linear and logistic regression was used to relate outcomes to GCFS slopes after adjusting for confounders, including vascular risk factors. As appropriate, models were also adjusted for total intracranial volume. Results: Among 1957 with complete brain MRI imaging, 1830 were included in the study, 60% (n=1096) women and 26% (n=480) black. At the first visit, the mean (SD) baseline age was 55 (5.2) yrs. The mean (SD) observed GCFS at the three visits were 0.16 (0.79), 0.05 (0.75), and -0.78 (0.86). After adjustment, a 1-SD larger decline in GCFS was significantly associated with a smaller brain volume by 1.6% [95%CI: 1.3, 1.8] relative to mean brain volume, a smaller temporal lobe meta region volume by 2.4% [2.1, 2.8] relative to the mean volume, a 15% [11, 19] larger volume of white matter hyperintensities, 1.3-fold [1.2, 1.4] higher odds of having ≥1 lacune, and 1.8-fold [1.4, 2.4] higher odds of elevated brain β-amyloid deposition. Associations remained significant after further adjustment for first or last GCFS. Conclusions: Greater declines in long-term cognitive functioning were significantly associated with smaller brain volumes and dementia-related brain characteristics and were independent of last visit GCFS. This suggests long-term changes in cognition may precede late-life brain morphology and outperform cross-sectional cognitive measures.

Background: Cerebrovascular disease is often the consequence of cardiac disease. Our aim was to examine associations of biomarkers of cardiovascular disease, high sensitivity troponin T (hs-cTnT), NT-proBNP, and galectin-3, with cerebrovascular signs: lacunar infarcts, lobar and subcortical microhemorrhages, cortical infarcts, and white matter hyperintensity (WMH) volume. We also examined total cortical and Alzheimer’s Disease (AD) signature region volumes. Methods: We conducted a cross-sectional analysis of 1748 ARIC participants from the 2011-2013 exam who had biomarker measurements, completed a brain MRI, and did not have a clinical history of stroke. We used linear regression to model brain volumes, modeled as Z scores, and logistic regression for all other outcomes; biomarkers were log transformed. We repeated analyses excluding persons with coronary heart disease, atrial fibrillation, and heart failure. Results: The mean age of participants was 76, 62% were female, and 21% were Black. All biomarkers were associated with total cortical volume. Each standard deviation increase in log hs-cTnT was associated with lower total cortical volume (adjusted beta = -0.08, 95% CI: -0.12, -0.05); results for the other biomarkers were similar (Figure). All biomarkers were associated with lobar microhemorrhages. Hs-cTnT and NT-proBNP were associated with WMH volume, but galectin-3 was not. No biomarker was associated with subcortical microhemorrhages or cortical infarcts. Results were similar in persons without coronary heart disease, atrial fibrillation, or heart failure (conditions associated with cerebral thromboembolism). Conclusions: In persons free of clinical cardiovascular disease, biomarkers of cardiac stretch, strain, and fibrosis were associated cerebral small vessel disease and reduced cortical volume, but not in a specific pattern suggestive of AD pathogenesis. This suggests subclinical vascular insults affect brain structure through mixed pathogenic processes.

OBJECTIVES Cardiac troponin T, measured using a high‐sensitive assay (hs‐cTnT), and N‐terminal pro‐B‐type natriuretic peptide (NT‐proBNP) are associated with increased stroke risk and perhaps with cognitive decline. However, few well‐designed prospective studies with extended follow‐up have been conducted. We aimed to estimate the association of hs‐cTnT and NT‐proBNP with 15‐year cognitive change in the Atherosclerosis Risk in Communities (ARIC) study. DESIGN Prospective cohort study. SETTING Four US communities. PARTICIPANTS A total of 9114 and 9108 participants from the Atherosclerosis Risk in Communities study for analyses of hs‐cTnT and NT‐proBNP, respectively. MEASUREMENTS We examined association of hs‐cTnT and NT‐proBNP with 15‐year change (1996‐1998 to 2011‐2013) in three cognitive tests of executive function (Digit Symbol Substitution Test), verbal learning memory (Delayed Word Recall Test), and semantic fluency (Word Fluency Test), and an overall score combining the three tests using multivariable linear mixed effect models. We conducted several sensitivity analyses including multiple imputations to address bias due to missing data and attrition, and we compared associations within groups combining hs‐cTnT and NT‐proBNP into a three‐level categorical variable. RESULTS At baseline (1996‐1998), mean age was 63.4 (standard deviation [SD] = 5.7) years; 56.4% were women, and 17.5% were black. The hs‐cTnT at baseline was not associated with cognitive change in any measure. Some evidence indicated accelerated decline in verbal learning and memory when comparing those in the highest with the lowest NT‐proBNP quintiles; however, this association was not replicated when considering clinically relevant cutoffs or deciles of exposure in survivors. Sensitivity analyses were consistent with our primary analyses. There was little evidence to support effect modification by any considered factors. People with highest levels of both biomarkers had excessive decline in global z scores vs people with lowest levels (−.34; 95% confidence interval = −.63 to −.04). CONCLUSION Markers of myocardial injury and stretch were not associated with cognitive decline following 15 years among survivors, but when combined together they were suggestive in post hoc analysis. Whether this represents targets of intervention should be examined in the future. J Am Geriatr Soc 67:2353–2361, 2019

OBJECTIVE We sought to examine associations in older adults among diabetes, glycemic control, diabetes duration, and biomarkers of hyperglycemia with incident mild cognitive impairment (MCI) and incident dementia. RESEARCH DESIGN AND METHODS We conducted a prospective analysis of 5,099 participants from the Atherosclerosis Risk in Communities (ARIC) Study who attended the fifth (2011–2013) exam. Cognitive status was assessed during follow-up via telephone calls, death certificate codes, surveillance, and a follow-up examination (2016–2017). We defined incident cognitive impairment as incident MCI or incident dementia in persons dementia-free at the index examination; we also examined each outcome separately. Diabetes was defined using self-report, medications, or HbA1c ≥6.5%; poor glycemic control in persons with diabetes was defined as HbA1c ≥7%. We examined the following biomarkers of hyperglycemia: HbA1c, fructosamine, glycated albumin, and 1,5-anhydroglucitol. RESULTS Mean age at baseline was 76 years, 59% were female, and 21% were black. Diabetes (hazard ratio [HR] 1.14 [95% CI 1.00, 1.31]), poor glycemic control in persons with diabetes (HR 1.31 [95% CI 1.05, 1.63]), and longer diabetes duration (≥5 vs. <5 years; HR 1.59 [95% CI 1.23, 2.07]) were significantly associated with incident cognitive impairment. We found a J-shaped association between HbA1c and incident dementia. Glycated albumin and fructosamine were also associated with incident dementia, independently of HbA1c. HbA1c and fructosamine were also associated with incident MCI. CONCLUSIONS Diabetes status, poor glycemic control, and longer diabetes duration were associated with worse cognitive outcomes over a median follow-up of 5 years.