Gottesman, Rebecca F.

Background: Midlife obesity is associated with dementia in later life, but how the metabolic syndrome (MetS) relates to cognitive change is less understood. We hypothesized that MetS would be more predictive of 6-year cognitive decline than its individual components in a large biethnic cohort (the ARIC study) and that combinations of risk factors would further increase likelihood of change. Methods: The MetS was defined in 1987-89 on 10,687 participants with two cognitive assessments at two time points. In subjects aged 44 to 66, obesity measures included body mass index (BMI) and waist-to-hip ratio (WTHR). The main outcome measure was change in 1990-92 to 96-99 of three cognitive tests: Delayed Word Recall (DWR), Digit Symbol Substitution Test (DSST), and Word Fluency Test (WFT). Linear and logistic regressions were all adjusted for age, combined race-center, sex, education, smoking, drinking, coronary artery disease and prior stroke. Change was measured as the difference divided by the number of years between visits. Results: At baseline, the prevalence of MetS was 22% (mean age 54 years, 27% black, 55% female, and 28% BMI>30 kg/m2). Subjects with MetS performed in the lowest test quintile (adjusted ORs: DWR 1.3 95% CI 1.1-1.4) in 1996-99, and much of this effect size was explained by an elevated WTHR (DWR OR 1.3 CI 1.1-1.5) and diabetes (DWR OR 1.4 CI 1.2-1.7). MetS was not associated with annual cognitive change, and diabetes was the only significant component associated with change (adjusted beta: DWR 0.03 p=.01, DSST 0.2 p<.001, WFT 0.09 p=.01). Conclusion: MetS at ages 44 to 66 was associated with worse cognitive function at follow-up, but not with annual cognitive decline over several years. Elevated WTHR and diabetes explained most of the association of MetS with cognitive function measures, and diabetes with cognitive decline. Until we have a definition of the MetS more based on pathophysiology, the components of the MetS should be the focus of analysis in future studies.

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: Understanding the role of risk factors associated with accelerated cognitive decline has important public health relevance for the aging US population. To test hypotheses that mid-life cardiovascular (CV) risk factors increase risk of dementia in old age, the Atherosclerosis Risk in Communities (ARIC) cohort was evaluated for dementia in 2011-2013. Anticipating challenges of complete dementia ascertainment in an elderly population, supplementary data sources were collected to aid analysis accounting for potentially informative attrition. Methods: ARIC enrolled 15,792 participants 45-64 years old at baseline (1987-1989) from four US communities and collected baseline CV exposure data. A complete neurocognitive battery including informant interview was completed 2011-2013, yielding an algorithmic diagnosis of dementia, mild cognitive impairment (MCI) or normal cognition. Cognitively impaired and a random sample of cognitively normal were selected for further clinical evaluation. Syndromic diagnoses (dementia/MCI/normal) and etiologic diagnoses were made by a panel of experts using standardized criteria. Standardized protocols, timely reports of reviewer reliability, ongoing training of reviewers and a web-based data management system were developed to ensure reliability, consistency and efficiency of data collection and review. Living participants not attending the visit were asked to complete the Telephone Interview for Cognitive Status (TICS). Based on dementia discharge codes and death codes identified during cohort surveillance, interviewer impression of hearing loss or cognitive impairment or need for a proxy during semi-annual calls, or random sampling, participants refusing the TICS are eligible for proxy dementia interview. Medicare claims are being examined to identify missed dementia discharge codes. Results: Of 11,017 participants alive as of 2011, 6495 (59%) completed the neurocognitive battery; 2937 of these (45%) were selected for, and completed, additional clinical assessments and classification by committee (algorithmic or reviewer diagnosis: dementia 5%, MCI 21%). Of the 4522 participants who did not undergo the neurocognitive battery, 1463 (32%) completed the TICS (dementia 7%), while 1627 of the remaining participants were eligible for proxy calls (903 completed to date, dementia 58%). Conclusions: Participants who were not examined were more likely to be cognitively impaired, highlighting the importance of collecting supplementary data to support analyses of midlife CV risk factors accounting for informative attrition. Collection of exam data in an elderly cohort is difficult and requires a multi-pronged approach, especially for an outcome highly correlated with attrition. The strategy described here could be applied in other settings.

Introduction: Recent studies, mainly performed in elderly whites, suggest that vitamin D, measured by 25-hydroxyvitamin D [25(OH)D], is important for cognition. Less is known about the association of 25(OH)D measured in mid-life with cognition and dementia risk in whites and blacks. Hypothesis: We hypothesized that lower concentrations of 25(OH)D would be associated cross-sectionally with lower cognitive test scores and prospectively with greater decline in cognitive test scores and with increased risk of dementia. Methods: We conducted cross-sectional (1993-1995), change (1993-1995 to 2004-2006), and prospective (follow-up through 2010) analyses of 1,652 participants in the ARIC Brain Ancillary Study with measured 25(OH)D (1993-1995). 25(OH)D was analyzed in race-specific tertiles and continuously. Cognition was measured by 3 tests: Delayed Word Recall (DWR), Digit Symbol Substitution (DSS), and Word Fluency (WF). Dementia was defined by hospitalization ICD-9 codes. Adjusted race-stratified linear regression and Cox proportional hazards models were used. Results: Mean age of participants was 62 years, 60% were female, and 48% were black. Mean 25(OH)D was higher in whites than blacks (25.5 versus 17.3 ng/ml, p<0.05). Over a median of 16.6 years, there were 145 incident hospitalized dementia cases. In prospective analyses, lower levels of 25(OH)D trended towards an association with increased dementia risk in whites and in blacks, but these results were not statistically significant (lowest versus highest tertile: whites, HR: 1.32 [95% CI: 0.69, 2.55]; blacks, HR: 1.53 [95% CI: 0.84, 2.79]) (Figure). Conclusion: In contrast to prior studies performed in elderly populations, our study did not find significant associations between lower levels of 25(OH)D in mid-life with lower cognitive test scores at baseline, change in score over time, or increased dementia risk.

Background: Brain infarcts, white matter hyperintensities (WMH), and brain atrophy appear to contribute to the development of mild cognitive impairment (MCI) and dementia in selected populations, but few prospective studies are available in general populations. Methods: The study included 732 black and white participants, sampled from the original ARIC cohort, who had 3T brain Magnetic Resonance Imaging (MRI) scans, were free of MCI and dementia during 2011-13 (Visit 5), and were evaluated for cognitive impairment during 2016-17 (Visit 6, about 90% complete). We assessed the associations of brain infarcts, WMH, and brain volumes measured on MRI from 2011-2013 with incident MCI and dementia (combined), diagnosed using a computer algorithm based on specified criteria and comprehensive assessment at Visit 6. We used logistic regression, incorporating sampling weights, to evaluate the risk for incident MCI/dementia with adjustment for demographic covariates, major dementia risk factors, and history of cardiovascular diseases. Results: Participants had a median age of 75 (IQR: 71, 79) at Visit 5 (baseline); 62% (453) were female and 33% (242) were African American. There were 156 newly identified cases of MCI or dementia during a median follow-up time of 4.9 (IQR: 3.4, 5.2) years. The presence of any brain infarct was associated with a nonsignificantly higher risk of MCI/dementia (OR: 1.50; 95%CI: 0.87 to 2.58), but the only significant individual association was with cortical infarcts (OR: 1.99; 95%CI: 1.03 to 3.85). WMH volume above the median value was nonsignificantly associated with conversion to MCI/dementia. Smaller Alzheimer’s disease (AD) signature region was an independent predictor for greater risk of MCI/dementia (OR: 1.49; 95%CI: 1.00 to 2.22). A similar but nonsignificant association was observed for total brain volume. Conclusions: Brain infarcts (cortical infarcts) and lower brain volume (AD signature region), measured in community-based older residents, are risk factors for MCI and dementia incidence.

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.

Introduction: Robust leptomeningeal collaterals protect the brain from ischemia, yet the determinants of poor collaterals have not been established. We aimed to identify predictors of poor collaterals in patients with large vessel occlusive stroke. Methods: Consecutive patients with large vessel occlusive stroke who underwent thrombectomy at 2 academic medical centers (derivation cohort/validation cohort) from 2012-2017 were included. Poor collaterals were defined as ≤50% filling on CT angiogram. Pre-specified predictors of poor collaterals were analyzed with adjusted logistic regression models: demographics (age, sex, race), risk factors (hypertension, diabetes, atrial fibrillation, smoking), hemodynamics (blood pressure, cardiac output, troponin), metabolic (hyperglycemia, hyponatremia, uremia), hematologic (anemia, leukocytosis, thrombocytosis) and neuroimaging evidence of chronic cerebral small-vessel disease and chronic steno-occlusive arterial disease. Results: Of the 248 total patients, poor collaterals were detected in 107 (43%). Mean age was 71±14y vs. 63±16y in patients with poor vs good collaterals, respectively (p<.001). There were 136 patients in the derivation cohort; 54 (48%) patients with poor collaterals. Multivariable modeling identified that older age (OR 1.8, p<.001), hyperglycemia (OR 2.4, p=.029) and white matter hyperintensities (WMH) (OR 6.1, p=.003) were independent predictors of poor collaterals in the derivation cohort. The validation cohort consisted of 136 patients; 53 (39%) had poor collaterals, of which older age (OR 1.4, p=.015), thrombocytosis (OR 24.0, p=.012), and WMH (OR 6.7, p=.018) were significant predictors of poor collaterals. Age and WMH were the only significant predictors of poor collaterals across the derivation and validation cohorts. When pooled the cohorts, older age (OR=1.5, p<.001), thrombocytosis (OR=7.6, p=.001) and WMH (OR=6.4, p<.001) were significant predictors of poor collaterals. Conclusions: We have identified that advanced age, WMH, and thrombocytosis are predictors of poor collaterals. Future studies to explore the effect of vascular aging on collateral therapeutics are indicated.

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.

Background: A healthy diet may be protective against cognitive decline by mechanisms that involve improved vascular risk factors such as hypertension and dysglycemia, and reduced systemic inflammation. In this population-based study, we hypothesized that midlife diet pattern would be associated with cognitive decline over 21-years. Methods: This study included 13,603 participants in the ARIC population-based cohort recruited from four U.S. sites who were aged 45 to 64 at baseline (1987-89) when diet was measured. Participants recorded diet using a 66-item food frequency questionnaire. Two dietary patterns, called “Meat and Fried” and the “Balanced Diet”, were named after the most representative foods that emerged from constructs derived from a principal component analysis of 30 food groups. A higher diet pattern score represented greater adherence. Cognitive testing, including the digit symbol substitution, the word fluency and delayed word recall tests, were combined to a z-score at each visit (visits 2, 1990-92; 4, 1996-98 and 5, 2011-2013). Test scores for participants not attending subsequent visits were imputed using Multiple Imputation by Chained Equations to account for cohort attrition. Cognitive performance at visit 2 was compared by tertile (T) of each diet pattern. Using mixed effects models with a random slope and intercept , we determined the 21-year change in cognitive function by diet pattern tertile, adjusting for demographics and medical history. Results: At visit 2, adherence to the Meat and Fried pattern was associated with lower cognitive test scores (z-score T3: -0.172, SD 0.985; T1: 0.149, SD 0.981, p-trend <0.001). Adherence to the Balanced Diet was not associated with differences in cognitive performance (z-score T3: 0.013, SD 0.988; T1 -0.036, SD 1.001, p-trend 0.10). 21-year change in cognitive function did not differ by adherence to diet pattern with adjustments (difference of the change in z-score for Meat and Fried, T3 vs. T1: 0.02, [CI -0.05 to 0.08]; Balanced Diet T3 vs. T1: -0.03, [CI -0.09 to 0.02]). Conclusion: Although participants with a diet pattern high in meat and fried foods had lower cognition at time of first assessment, diet patterns at midlife did not carry independent associations with cognitive decline.