Sharrett, A. Richey

Introduction: The microvascular contribution to dementia may be under-recognized because of the inability to visualize the brain microvasculature in vivo. Although the easily-imaged retinal vasculature may be a surrogate measure for that in the brain, large prospective studies of the relationship between retinal vascular signs and dementia are scarce. Hypothesis: Retinal signs are associated with greater subsequent risk of all-cause dementia and etiologic subtype over 20 years in 12482 men and women (mean age of 60 years when retinal signs were measured, 22% African American). Methods: Retinal signs were measured using fundus photography (1993-1995). Presence and etiology of dementia and mild cognitive impairment (MCI) were adjudicated using data collected in 2011-13, including a complete neuropsychological battery and brain magnetic resonance imaging (subset of participants). For participants not attending the 2011-13 visit, dementia cases were identified using the Telephone Interview for Cognitive Status–Modified or informant interview, or by hospitalization or death certificate code. Multivariable-adjusted Cox proportional hazards models and logistic regression were used to quantify the relationship of retinal signs with dementia risk and with etiologic subtype, respectively. Results: During a mean 16 years of follow-up, 1259 (10%) participants developed dementia. Moderate or severe (vs. no) retinopathy (hazard ratio [HR], 1.86; 95% CI: 1.36, 2.55) and generalized arteriolar narrowing, measured as the central retinal arteriolar equivalent (CRAE, narrowest quartile vs. widest three quartiles), (HR, 1.26; 95% CI: 1.09, 1.45) were associated with all-cause dementia. Results did not differ by diabetes, race or APOE ε4 genotype. Retinopathy was associated with cerebrovascular-related dementia and MCI (odds ratio, 2.66; 95% CI: 1.30, 5.42). Conclusions: Retinal photography captures small vascular signs in the eye that are related to increased dementia risk. Emerging techniques, such as optical coherence tomography angiography, may have the sensitivity to provide surrogate indices of microvascular lesions relevant to dementia in older adults.

Background: Midlife vascular risk factors (MVRF) are associated with incident dementia. Similarly, amyloid β(Aβ) and neurodegeneration (e.g.brain volumes), as parts of the Alzheimer’s Disease (AD) ATN framework, are associated with cognition. Whether vascular and AD-associated factors contribute to dementia independently or interact synergistically to reduce cognitive ability is not well understood. Methods: Recruited from 3 U.S. communities, ARIC-PET participants were followed from 1987-89 (45-64 yo) through 2016-17 (74-94 yo). Cognition was evaluated in 2011-13 (ages 69-88), and twice more, every 2-3 years. In 2011-13, nondemented ARIC-PET participants had a brain MRI, with measurement of white matter hyperintensities (WMH) and brain volumes, with florbetapir (Aβ) PET scans in 2012-14; global cortical standardized uptake value ratio (SUVR) was log-transformed and standardized. Dementia was classified by expert review, as well as phone and medical record surveillance. The relative contributions of vascular risk (MVRF, WMH volume) and AD pathology (elevated Aβ SUVR, smaller AD signature region volumes) to incident dementia were evaluated with Cox proportional hazards regression. Results: In 298 individuals, 36 developed dementia. In models with key MVRF, demographics, and Aβ SUVR, hypertension and Aβ each independently predicted dementia risk (per SD of Aβ SUVR: HR 2.57, 95% CI 1.72-3.84; hypertension: HR 2.57, 95% CI 1.16-5.67), but didn’t interact on dementia risk. WMH (per SD: HR 1.51, 95% CI 1.03-2.20) and Aβ SUVR (per SD: HR 2.52, 95% CI 1.83-3.47) each contributed to incident dementia but WMH lost significance when MVRF were added to the model. Smaller AD signature regions were associated with incident dementia, independent of Aβ SUVR, and remained significant after adjustment for MVRF (HR per SD 2.18, 95% CI 1.18-4.01). Conclusions: Midlife hypertension and late-life Aβ independently contribute to dementia risk, but don’t synergize on a multiplicative scale. Neurodegeneration (e.g.smaller AD signature region volume) is also associated with incident dementia, independent of Aβ and MVRF. Multiple pathways leading to dementia should be considered when evaluating risk factors and interventions to reduce the burden of dementia.

Background: Vascular risk factors have been associated with risk of cognitive decline, with increasing evidence that midlife exposure to these risk factors may be most important in conferring late-life risk of cognitive impairment. We explored associations between vascular risk factors measured in midlife and the development of dementia over 25 years in the biracial Atherosclerosis Risk in Communities (ARIC) cohort. Methods: Participants in the ARIC study were recruited from four U.S. communities in 1987-1989, at ages 45-64, with four additional in-person visits, surveillance for hospitalizations, annual phone calls, and repeated cognitive evaluations over a 25-year period. In 2011-2013, ARIC participants were seen for the ARIC Neurocognitive Study (ARIC-NCS), and underwent a detailed neurocognitive battery and informant interviews. Through adjudicated review, dementia cases were defined. Additional dementia cases were identified through the telephone interview for cognitive status (TICS) or informant interview for those participants not attending ARIC-NCS; or by a prior dementia ICD-9 code during a hospitalization. Results: Of 15,744 participants in the cohort, 1516 cases of dementia were identified, of whom over one third were among black participants. Risk of dementia was highest in individuals of black race, with less than a high school education, older age, APOE ε4 carriage, and who, at ARIC baseline, had hypertension, diabetes, or were current smokers (table). APOE ε4 and smoking were each stronger risk factors for dementia in whites than in blacks. Discussion: Vascular risk factors measured in midlife are associated with increased risk of dementia in this biracial cohort, in black and white participants. The risk associated with diabetes nears the increased risk associated with having an APOE ε4 allele. Further studies are needed to evaluate the mechanism of and opportunities for prevention of the cognitive sequelae of these risk factors in midlife.

Introduction: Cerebral microbleed (CMB) location may predict underlying pathology. Deep CMBs are more associated with hypertensive vascular disease, while lobar CMBs are more associated with cerebral amyloid angiopathy (CAA). The objective of this study was to determine the neuroimaging pathology associated with CMBs. Methods: We analyzed 1,831 nondemented ARIC participants (mean age=76.3 ±5.3 years, 40% male, 27% black) with 3T MRI scans at the fifth exam (2011-13). We fit multinomial logistic regression models to assess the effect of brain volumes (AD signature region atrophy, total gray matter, frontal, and log 2 -transformed white matter hyperintensities (WMH) volume), infarct frequencies (lacunar, non-lacunar, and total), and APOE (number of ε4 alleles) on CMB location (no, any deep, or lobar only CMBs). Models were weighted for the sample selection scheme and adjusted for age, male, education, hypertension, ever smoking status, diabetes, race-site membership, and estimated intracranial volume (brain volume models only). Results: The frequency of CMBs was 24.1%. A larger WMH volume, greater total infarct frequency, and smaller total grey volume increased the relative risks (RR) of both deep and lobar CMBs compared to no CMBs; increasing the WMH volume also increased the RR of deep to lobar CMBs. Additional lacunar infarcts increased the RR of deep compared to no CMBs, whereas AD signature region atrophy and APOE ε4 homozygosity increased the RR of lobar CMBs. Conclusion: CMBs are a common vascular pathology in the elderly. Deep CMB presence is associated with MRI features of hypertensive small vessel disease, while lobar CMB presence is associated with MRI features of CAA and Alzheimer’s disease.

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: Ischemic Stroke (IS) is associated with an increased risk of dementia, but the relative contribution of IS severity or recurrence to cognition is not known. We aimed to determine the risk of dementia after incident IS and how it varies by stroke severity and recurrence in the Atherosclerosis Risk in Communities (ARIC) study. Methods: 15,405 ARIC participants free of stroke and dementia at baseline (1987-9) were followed for IS and dementia through 2019. Incident and recurrent IS were classified by expert review of hospital records, with stroke severity by the National Institutes of Health Stroke Scale (NIHSS) classified as NIHSS≤5, 6-10, 11-15, ≥16. Dementia cases were adjudicated through expert review of in-person evaluations, informant interviews, phone assessments, hospitalization code or death certificates. Poisson regression models with robust error variance were used to estimate dementia incidence in participants with and without IS, and associations between time-dependent IS incidence (excluding dementia in the first year after stroke), frequency and severity, and dementia were studied with Cox proportional hazards models, adjusting for demographics, APOE ε4 and vascular risk factors . Results: 1151 IS (970 incident) and 2807 dementia cases were identified. NIHSS was available for 877 IS (76%). Adjusted incidence rates (95% CI) of dementia per 100 person-years were 0.45 (0.42-0.49) in participants without IS vs. 1.33 (1.15-1.55) in those with IS. Compared to no IS, risk of dementia (adjusted HR, 95% CI) increased with IS number and severity from 1.71 (1.47-1.99) for participants with one IS to 6.68 (3.58-12.46) for those with ≥3 events, and from 1.64 (1.36-1.98) for NIHSS≤5 to 4.43 (1.84-10.68) for NIHSS≥16 ( Table ). Conclusion: Risk of dementia is significantly increased after stroke, independent of vascular risk factors. These data suggest a dose-response relationship between number of stroke events and stroke severity, and risk of dementia.

Abstract Plasma-based biomarkers of amyloid beta (Aβ), a neuropathological hallmark of Alzheimer’s disease, show promise in predicting cognitive impairment and mapping onto cerebral amyloidosis, but little is known about how midlife plasma Aβ associates with late-life cognitive outcomes. Midlife plasma variants Aβ42 and Aβ40 were measured using a fluorimetric bead-based immunoassay in a subsample of visit 3 ARIC participants (1993-95; n=2585, mean age=59.4±5.2, 57% female, 23% African American). We investigated the relationship between midlife plasma Aβ and late-life mild cognitive impairment (MCI; n=923) and dementia (n=628) diagnosed from 2011-19. Multinomial logistic regressions estimated relative risk ratios (RRR) of MCI, dementia, and death vs normal cognitive status as a function of:(1) Aβ42:Aβ40 ratio, (2) Aβ42 and Aβ40 included as separate terms, and (3) Protected Aβ group (participants with Aβ42≥46 pg/ml and Aβ40 <233 pg/ml). Adjusters included age, sex, education, site-race, and APOE4. Every doubling of midlife plasma Aβ42:Aβ40 up to a threshold of 0.20 was associated with 41% lower risk of developing MCI/dementia in comparison to cognitively normal (RRR=0.59 [95% CI:0.42, 0.82]), with no association for ratio values ≥0.20. Every standard deviation increase in plasma Aβ42 was associated with 17% lower risk of dementia (RRR=0.83 [0.70, 0.99]), whereas every standard deviation increase in plasma Aβ40 was associated with 16% higher risk of MCI (RRR=1.16 [1.02, 1.31]). The protected midlife plasma Aβ group had 86% lower risk of late-life dementia vs all others (RRR=0.14 [0.04, 0.47]). Early measurement of plasma Aβ may prove an accessible and effective population screener for future cognitive impairment.

AbstractBackgroundRecently, hearing loss has been identified as a promising modifiable risk factor for dementia. Several hypotheses explaining a potential underlying pathway have been proposed, including the sensory deprivation hypothesis, describing a direct causal relationship in which hearing loss leads to neuroplastic changes in the brain. Indeed, hearing loss has been associated with smaller macrostructural brain volumes, which is believed to at least partly explain the association between hearing loss and neurodegenerative disease. However, microstructural changes precede macrostructural changes. Therefore, we aimed to assess the association between hearing loss and microstructural integrity of the brain.Methods1,086 dementia‐free older adults from the Atherosclerosis Risk in Communities (ARIC) study (mean age = 75.2 [SD: 4.9], 61.4% female) underwent hearing assessment (2016‐2017) and magnetic resonance imaging (MRI) of the brain (2011‐2013). Hearing was assessed with pure‐tone audiometry. Microstructural integrity (fractional anisotropy (FA) and mean diffusivity (MD)) of multiple brain regions was determined with diffusion tensor imaging (DTI). Multivariable linear regression models were used to investigate the association between hearing loss and microstructural integrity of the lobes, temporal lobe gyri, medial temporal lobe structures and white matter (WM) tracts, adjusting for relevant confounders.ResultHearing loss was associated with lower WM microstructural integrity in the temporal lobe (difference in SD FA for moderate/severe hearing loss as compared to normal hearing: ‐0.19 [95% CI: ‐0.35, ‐0.03]; and difference in SD MD for moderate/severe hearing loss as compared to normal hearing: 0.15 [95% CI: 0.01, 0.28]). Hearing loss was associated with lower gray matter (GM) microstructure of the hippocampus, but not the amygdala. Moreover, hearing loss was associated with lower WM microstructural integrity of the limbic tracts and the uncinate fasciculus (Figure 1).ConclusionOur results demonstrate that age‐related hearing loss is associated with lower WM microstructural integrity in the temporal lobe, the limbic tracts and the uncinate fasciculus and lower GM microstructure in the hippocampus. These associations suggest that poorer hearing may affect brain regions that are important for different cognitive processes. However, the results should be interpreted with caution as this study is of a cross‐sectional design.

AbstractIntroductionAs hearing loss has been identified as an important risk factor for dementia, we aimed to assess the association between hearing loss and microstructural integrity of the brain.MethodsA total of 1086 dementia‐free participants (mean age = 75.2 [standard deviation: 4.9], 61.4% female) of the population‐based Atherosclerosis Risk in Communities (ARIC) study underwent hearing assessment (2016–2017) and magnetic resonance imaging of the brain (2011–2013). Microstructural integrity was determined with diffusion tensor imaging. Multivariable linear regression was used to investigate associations between hearing loss and microstructural integrity of different brain regions and white matter (WM) tracts.ResultsHearing loss was associated with lower WM microstructural integrity in the temporal lobe, lower gray matter integrity of the hippocampus, and with lower WM microstructural integrity of the limbic tracts and the uncinate fasciculus.ConclusionOur results demonstrate that hearing loss is indepedently associated with lower microstructural integrity in brain regions that are important for different cognitive processes.

Introduction: Stiffening of the aorta is associated with greater pulse pressure and transmission of pulsatile energy into the cerebral circulation, which can increase susceptibility to microvascular damage in the brain. We tested the hypothesis that higher aortic stiffness measured in late-life is associated with a greater prevalence odds of dementia measured ~5 years later. Methods: Dementia-free ARIC-NCS participants (n=4753; mean age: 75 years; 42% male; 21% black) with measures of aortic stiffness at the visit 5 (2011-2013) examination were included. Aortic stiffness was measured by carotid-femoral pulse wave velocity (cfPWV) using the VP-1000 Plus device (Omron Co., Japan) and modeled as continuous (per standard deviation (SD)), categorical into distribution-based quartiles, and as elevated vs. non-elevated cfPWV according to the upper 25 th percentile (13.34 m/s). Cognitive status (normal/mild cognitive impairment (MCI)/dementia) was ascertained at the visit 5 and 6 (2016-2017) examinations with expert review by an adjudication committee of in-person cognitive testing. A multivariable logistic regression model estimated the adjusted association of cfPWV with 5-year odds of dementia. Results: Among dementia-free participants, a 1 SD higher cfPWV was associated with a greater odds of dementia (Odds Ratio (OR): 1.19 (95% Confidence Interval (CI): 1.03, 1.39). Elevated cfPWV (upper 25 th percentile) was also associated with a greater odds of dementia (OR: 1.54, 95% CI: 1.08, 2.19) in this sample. This association was stronger among participants who were cognitively normal at visit 5 (n=3758, Table): the multivariable-adjusted OR of dementia = 2.16 (95% CI: 1.35, 3.47) for elevated vs. non-elevated cfPWV. The risk of dementia among those with baseline MCI (n=955) was not associated with cfPWV levels. Results were robust to adjustment for vascular risk factors. Conclusions: Among older adults, especially when MCI is not present, greater central aortic stiffness is associated with dementia risk.