Lirette, Seth T.

Abstract Few studies examined race-regional influences on mild cognitive impairment (MCI) and dementia risk factors. We examined 14 risk factors in 5 race-regions, e.g. cross-sectional age- and sex-adjusted relative prevalence ratios (RPR) from multinomial regression comparing associations of low education (<12yrs) with MCI and dementia (versus normal cognition) across 3 race-region groups, average age 76yrs: whites in the Mayo Clinic Study of Aging[MCSA, Olmsted County, MN—MCSA-MN-Whites); Atherosclerosis Risk in Communities(ARIC) whites in suburban Minneapolis, MN—ARIC-MN-Whites); ARIC-African Americans in Jackson, MS—ARIC-MS-AA. Among 3,787 MCSA-Whites, low education exerted a 2-fold risk for MCI, RPR=2.09(95%CI: 1.57,2.78). Conversely, low education was not a supported MCI risk factor for ARIC-MN-Whites (n=1,901—RPR=0.63(0.31,1.28) or ARIC-MS-AA, (n=1,416—RPR=.0.81 (0.60,1.10)), with substantially differential race-region effects. Low education RPRs for dementia also differed by race-region: RPR=4.43(2.68,7.31-MCSA-MN-W), RPR=0.70 (0.16,2.99-ARIC-MN-Whites), and RPR=2.54 (1.74,3.72-ARIC-MS-AA). Understanding why risk factors differ by race and region likely requires diverse samples and harmonized methods using culturally-appropriate assessments.

Background Whether the association of blood pressure ( BP ) during sleep (nocturnal BP ) with cognition differs by race is unknown. Methods and Results Participants in the GENOA (Genetic Epidemiology Network of Arteriopathy) Study underwent ambulatory BP measurements, brain magnetic resonance imaging, and cognitive function testing (the Rey Auditory Verbal Learning Test, the Digit Symbol Substitution Task, and the Trail Making Test Part B) between 2000 and 2007. We examined multivariable linear regression models of the nocturnal BP ‐cognition association. Among 755 participants (mean age, 63 years; 64% women; 42% self‐identified black race; 76% taking antihypertensive medication), mean nocturnal systolic BP ( SBP )/diastolic BP was 126/69 mm Hg, daytime SBP / diastolic BP level was 139/82 mm Hg, and mean reduction in SBP from day to night (dipping) was 9%. Among the entire sample, a race interaction was observed in Digit Symbol Substitution Task and Trail Making Test Part B (both P <0.15). Race‐stratified analyses showed that a 1‐ SD increase in nocturnal SBP levels was associated with poorer Digit Symbol Substitution Task and log‐transformed Trail Making Test Part B scores (unstandardized regression coefficient [95% confidence interval ]: −1.98 [−3.28 to −0.69] and 0.06 [0.004–0.12]; both P< 0.05) in black but not white individuals. Additional adjustments for white matter hyperintensity volumes or brain atrophy, measured via brain magnetic resonance imaging, did not change the results. Results were similar when nocturnal SBP dipping was assessed as the exposure, yet daytime SBP levels yielded no association with cognition. Conclusions Nocturnal SBP measurements may be useful in assessing the potential risk for lower cognitive function in middle‐aged and older adults, particularly in black individuals.

432 Background: In clinical trials and clinical practice, tumor response assessment with computed tomography (CT) defines critical end points in patients with metastatic disease treated with systemic agents. Methods to reduce errors and improve efficiency in tumor response assessment could improve patient care. Methods: Eleven readers from 10 different institutions independently categorized tumor response according to three different therapeutic response criteria using paired baseline and initial post-therapy CT studies from 20 randomly selected patients with metastatic renal cell carcinoma treated with sunitinib as part of a completed phase III multi-institutional study. Images were evaluated with a manual tumor response evaluation method (standard-of-care) and with computer-assisted response evaluation (CARE) that included stepwise guidance, interactive error-identification and correction methods, automated tumor metric extraction, calculations, response categorization, and data/image archival. A cross-over design, patient randomization, and two-week washout period were used to reduce recall bias. Comparative effectiveness metrics included error rate and mean patient evaluation time. Results: The standard-of-care method was on average associated with one or more errors in 30.5% (6.1/20) of patients while CARE had a 0.0% (0.0/20) error rate (p<0.001). The most common errors were related to data transfer and arithmetic calculation. In patients with errors, the median number of error types was 1 (range 1-3). Mean patient evaluation time with CARE was twice as fast as the standard-of-care method (6.4 vs. 13.1 minutes, p<0.001). Conclusions: Computer-assisted tumor response evaluation reduced errors and time of evaluation, indicating better overall effectiveness than manual tumor response evaluation methods that are the current standard-of-care.

Objectives To examine associations between adiposity and adiposity change (loss, stable, gain) and subsequent longitudinal cognitive performance in African Americans in mid and late life. Design Cohort study using linear mixed models. Setting Genetic Epidemiology Network of Arteriopathy. Participants African‐American sibships with hypertension in Jackson, Mississippi (N = 1,108). Measurements Waist circumference and body mass index ( BMI ) were measured at two examinations 5 years apart. Stable adiposity was defined as values within 5% of the first measure. A composite cognitive Z ‐score was derived from individual cognitive test Z ‐scores at two study visits 6 years apart. Results Larger waist circumference was associated with greater rate of cognitive decline during follow‐up (beta = −0.0009 per year, P = .001); BMI , change in waist circumference, and change in BMI were not associated with rate of decline. Loss of adiposity in midlife was associated with higher cognitive Z ‐scores in middle‐aged individuals, and loss of adiposity in late life was associated with lower Z ‐scores in older adults ( P = .01 for interaction between waist circumference and age; P = .04 for interaction between BMI and age). Simultaneous inclusion of waist circumference and BMI in the cross‐sectional model suggested an association between larger waist circumference and poorer cognitive performance (beta = −0.009, P = .006) and between higher BMI and better cognitive performance (beta = 0.014, P = .06). Conclusion The results suggested a differential pattern of the relationship between adiposity and cognition according to age (mid‐ or late life) and regional distribution of adiposity.

Objectives To examine associations between inflammation and physical function and potential mediation by white matter hyperintensities ( WMH s) in African Americans ( AA s) and European Americans ( EA s). Design Cross‐sectional analysis using linear and logistic models with generalized estimating equations to account for family clustering, reporting results as regression coefficients (β) and odds ratios ( OR s) adjusted for education, alcohol, exercise, body mass index, hypertension, diabetes mellitus, heart disease, cognition, ankle–brachial index, race (site), and supported interactions. Setting Genetic Epidemiology Network of Arteriopathy‐Genetics of Microangiopathic Brain Injury Study cohort. Participants AA and EA sibships with two or more siblings with hypertension before age 60 (N = 1,960; 65% female, 51% AA , aged 26–91, 50% obese, 72% hypertensive). Measurements Inflammation (C‐reactive protein ( CRP ), interleukin‐6 ( IL 6), soluble tumor necrosis factor receptors ( sTNFR s) 1 and 2, WMH volume (cm 3 ) according to magnetic resonance imaging), walking speed (cm/s) over 25 feet, and mobility difficulty (any self‐reported difficulty walking half a mile). Results In separate models, inflammatory markers were associated with walking speed ( sTNFR 1: β = −2.74, P < .001; sTNFR 2: β = −1.23, P = .03; CRP : β = −1.95, P = .001; IL 6: β = −1.24, P = .03) and mobility difficulty ( sTNFR 1: OR = 1.36, P = .001; sTNFR 2: OR = 1.25, P = .005; CRP : OR = 1.22, P = .005; IL 6: OR = 1.18, P = .02); the association between WMH volume and sTNFR 1 in AA (β = 0.07, P = .06) did not reach typical statistical thresholds. WMH volume was associated with walking speed in AA (β = −3.17, P = .02) but not with mobility difficulty ( OR = 1.10, P = .54). Adjusting for WMH did not change associations. Conclusion In young, middle‐aged, and older adults with prevalent cardiovascular risk factors, multiple inflammatory biomarkers were associated with slower walking speed independent of microvascular disease in the brain. There was little evidence of mediation by brain WMH volume. Inflammation may contribute to physical function impairments through pathways other than brain microvascular disease, particularly in AA s.

Background and Purpose— The relationships between cerebrovascular lesions visible on imaging and cognition are complex. We explored the possibility that the cerebral cortical volume mediated these relationships. Methods— Total of 1906 nondemented participants (59% women; 25% African–American; mean age, 76.6 years) in the Atherosclerosis Risk in Communities (ARIC) study underwent cognitive assessments, risk factor assessments, and quantitative MRI for white matter hyperintensities (WMH) and infarcts. The Freesurfer imaging analysis pipeline was used to determine regional cerebral volumes. We examined the associations of cognitive domain outcomes with cerebral volumes (hippocampus and separate groups of posterior and frontal cortical regions of interest) and cerebrovascular imaging features (presence of large or small cortical/subcortical infarcts and WMH volume). We performed mediation pathway analyses to assess the hypothesis that hippocampal and cortical volumes mediated the associations between cerebrovascular imaging features and cognition. Results— In unmediated analyses, WMH and infarcts were both associated with worse psychomotor speed/executive function. In mediation analyses, WMH and infarct associations on psychomotor speed/executive function were significantly attenuated, but not abolished, by the inclusion of the posterior cortical regions of interest volume in the models, and the infarcts on psychomotor speed/executive function association were attenuated, but not abolished, by inclusion of the frontal cortical regions of interest volume. Conclusions— Both WMH and infarcts were associated with cortical volume, and both lesions were also associated with cognitive performance, implying shared pathophysiological mechanisms. Although cross-sectional, our findings suggest that WMH and infarcts could be proxies for clinically covert processes that directly damage cortical regions. Microinfarcts are 1 candidate for such a clinically covert process.

Objectives To examine associations between specific inflammatory biomarkers and cognitive function in African Americans (AAs) and European Americans (EAs) with prevalent vascular risk factors. Design Cross‐sectional analysis using generalized estimating equations to account for familial clustering; standardized β‐coefficients, adjusted for age, sex, and education are reported. Setting Community cohort study in Jackson, Mississippi, and Rochester, Minnesota. Participants Genetic Epidemiology Network of Arteriopathy (GENOA)–Genetics of Microangiopathic Brain Injury (GMBI) Study participants. Measurements Associations between inflammation (high‐sensitivity C‐reactive protein (CRP), interleukin (IL)‐6, soluble tumor necrosis factor (TNF) receptor 1 and 2 (sTNFR1, sTNFR2)) and cognitive function (global, processing speed, language, memory, and executive function) were examined in AAs and EAs (N = 1,965; aged 26–95, 64% women, 52% AA, 75% with hypertension). Results In AAs, higher sTNFR2 was associated with poorer cognition in all domains (global: −0.11, P = .009; processing speed: −0.11, P < .001; language: −0.08, P = .002; memory: −0.09, P = .008; executive function: −0.07, P = .03); sTNFR1 was associated with slower processing speed (−0.08, P < .001) and poorer executive function (−0.08, P = .008); higher CRP was associated with slower processing speed (−0.04, P = .024), and higher IL6 was associated with poorer executive function (−0.07, P = .02). In EA, only higher sTNFR1 was associated with slower processing speed (−0.05, P = .007). Associations were not found between cognition and sTNFR2, CRP, or IL6 in EA. Conclusion In a population with high vascular risk, adverse associations between inflammation and cognitive function were especially apparent in AAs, primarily involving markers of TNFα activity.