P3-047: 1 H MRS and hippocampal volumes predict risk of dementia in a population-based cohort: The mayo clinic study of aging

2009 ◽  
Vol 5 (4S_Part_12) ◽  
pp. P354-P355
Author(s):  
Kejal Kantarci ◽  
Ronald C. Petersen ◽  
Ali R. Samikoglu ◽  
Maria M. Shiung ◽  
Scott A. Przybelski ◽  
...  
Keyword(s):  
Mayo Clinic ◽  
Population Based ◽  
Clinic Study

Epidemiologic study of risk factors for meningioma in the Mayo Clinic Study of Aging.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. 2067-2067
Author(s):  
Alissa Butts ◽  
Jeremy A. Syrjanen ◽  
Jeremiah Aakre ◽  
Paul D. Brown ◽  
Clifford R. Jack ◽  
...  
Keyword(s):  
Risk Factors ◽  
Mayo Clinic ◽  
Large Population ◽  
Epidemiologic Study ◽  
Significant Risk ◽  
Female Gender ◽  
Population Based ◽  
Continuous Variable ◽  
Health Study ◽  
Clinic Study

2067 Background: An estimated 2% of the general population has a meningioma (Vernooij et al. 2007), which accounts for about 36% of all primary intracranial tumors (Ostrom et al. 2015). The most established risk factors are older age and female gender. One small study identified gender but no other risk factors with meningioma (Krampla et al 2004). A larger study using the Iowa Women’s Health study data found lower levels of physical activity, greater body mass index (BMI), greater height and uterine fibroids were associated with meningioma (Johnson et al. 2011). We sought to replicate these findings and to identify additional risk factors related to meningioma in a large population-based sample. Methods: Study participants were enrolled in the Mayo Clinic Study of Aging (MCSA), a population-based sample of Olmsted County, Minnesota residents used to study prevalence, incidence, and risk-factors for Mild Cognitive Impairment and dementia and includes a variety of medical factors. Using a text search of radiologists’ notes of 2,402 MCSA individuals, mean age 77±8 years and scanned between 2004-2014.We identified 52 subjects who had at least one meningioma. We estimated the association of selected potential risk factors with presence of meningioma using odds ratios and 95% confidence intervals from logistic regression models adjusted for age and gender, which informed the multivariable models. Results: In the initial models, significant risk factors identified included BMI (as a continuous variable) (OR = 1.06 95%CI 1.01 to 1.12), taking NSAIDS (OR = 2.11, 95%CI 1.13 to 3.95), aspirin (OR = 1.90, 95%CI 1.04 to 3.46), and blood pressure lowering medication (OR = 2.06, 95%CI 1.07 to 3.99). Protective factors included male gender (OR = 0.51, 95%CI 0.29 to 0.90), coronary artery disease (CAD; OR = 0.46, 95%CI 0.22 to 0.97) and higher Beck Anxiety Inventory (BAI) total score (OR = 0.88, 95%CI 0.78 to 0.98). Simultaneous adjustment for these factors in a multivariable model did not attenuate these associations. Conclusions: Findings reveal gender and BMI as risk factors for meningioma. Additionally, certain medications such as NSAIDS and BP lowering medications warrant follow up as potential factors related to development of meningioma.

scholarly journals LONGITUDINAL COMPARISON OF IN CLINIC AND AT HOME ADMINISTRATION OF THE COGSTATE BRIEF BATTERY AND DEMONSTRATED PRACTICE EFFECTS IN THE MAYO CLINIC STUDY OF AGING

2019 ◽  
pp. 1-8
Author(s):  
N.H. Stricker ◽  
E.S. Lundt ◽  
E.C. Alden ◽  
S.M. Albertson ◽  
M.M. Machulda ◽  
...  
Keyword(s):  
Mayo Clinic ◽  
Cognitive Aging ◽  
Population Based ◽  
Practice Effects ◽  
Population Based Study ◽  
Linear Mixed Effects ◽  
Longitudinal Comparison ◽  
Home Administration ◽  
Clinic Study ◽  
At Home

Background: The Cogstate Brief Battery (CBB) is a computerized cognitive assessment that can be completed in clinic or at home. Design/Objective: This retrospective study investigated whether practice effects / performance trajectories of the CBB differ by location of administration. Participants/Setting: Participants included 1439 cognitively unimpaired individuals age 50-75 at baseline participating in the Mayo Clinic Study of Aging (MCSA), a population-based study of cognitive aging. Sixty three percent of participants completed the CBB in clinic only and 37% completed CBB both in clinic and at home. Measurements: The CBB consists of four subtests: Detection, Identification, One Card Learning, and One Back. Linear mixed effects models were used to evaluate performance trajectories in clinic and at home. Results: Results demonstrated significant practice effects between sessions 1 to 2 for most CBB measures. Practice effects continued over subsequent testing sessions, to a lesser degree. Average practice effects/trajectories were similar for each location (home vs. clinic). One Card Learning and One Back accuracy performances were lower at home than in clinic, and this difference was large in magnitude for One Card Learning accuracy. Participants performed faster at home on Detection reaction time, although this difference was small in magnitude. Conclusions: Results suggest the location where the CBB is completed has an important impact on performance, particularly for One Card Learning accuracy, and there are practice effects across repeated sessions that are similar regardless of where testing is completed.

Abstract 14368: Artificial Intelligence-Electrocardiography to Predict Time to Atrial Fibrillation: An Analysis of Mayo Clinic Study of Aging

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Georgios Christopoulos ◽  
Camden L Lopez ◽  
Xiaoxi Yao ◽  
Zachi I Attia ◽  
Jonathan Graff-radford ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Atrial Fibrillation ◽  
Mayo Clinic ◽  
Cumulative Incidence ◽  
Proportional Hazards ◽  
Normal Sinus Rhythm ◽  
Population Based ◽  
Cox Proportional Hazards ◽  
Normal Sinus ◽  
Clinic Study

Introduction: An artificial intelligence (AI) algorithm applied to electrocardiography (ECG) during normal sinus rhythm (NSR) has been shown to predict concomitant atrial fibrillation (AF). We sought to characterize the value of AI-ECG as a predictor of future AF and assess its performance compared to other clinical prediction scores in a population-based sample. Methods: We calculated the AI-ECG probability during NSR in patients who enrolled in the population-based Mayo Clinic Study of Aging with at least one ECG in NSR within two years prior and no history of AF at the time of the baseline study visit. The cumulative incidence of AF was estimated for strata defined by AI-ECG probability and CHARGE-AF score. Cox proportional hazards were fit to assess the independent prognostic value and interaction of AI-ECG probability and CHARGE-AF score. Concordance (c) statistics were calculated for AI-ECG probability, CHARGE-AF score and combined AI-ECG and CHARGE-AF score. Results: A total of 1,936 patients with a median age 75.8 (quartile range [QR] 70.4, 81.8) years, median CHARGE-AF score 14.0 (QR 13.2, 14.7) and median CHADS2VASC score 3 (QR 2, 4) were included in the analysis. The cumulative incidence of AF increased in a stepwise fashion across quartiles of AI-ECG probability and CHARGE-AF score (Figure 1). When compared in the same model, both AI-ECG probability (hazard ratio [HR] 1.76, 95% confidence interval [CI] 1.51-2.04) and CHARGE-AF score (HR 1.90, 95% CI 1.58-2.28) independently predicted AF without significant interaction (p=0.54). C statistics were 0.69 (95% CI 0.66-0.72) for AI-ECG probability, 0.69 (95% CI 0.66-0.71) for CHARGE-AF and 0.72 (95% CI 0.69-0.75) for combined AI-ECG and CHARGE-AF score. Conclusions: In the Mayo Clinic Study of Aging, both the AI-ECG probability and CHARGE-AF score independently predicted time to AF. The AI-ECG may offer a means to assess risk with a single test without requiring manual or automated clinical data abstraction.

027 SLOW GAIT PREDICTS INCIDENT MCI IN A POPULATION-BASED COHORT: THE MAYO CLINIC STUDY OF AGING

2010 ◽  
Vol 16 ◽  
pp. S7-S8
Author(s):  
R.O. Roberts ◽  
Y.E. Geda ◽  
D.S. Knopman ◽  
R.H. Cha ◽  
V.S. Pankratz ◽  
...  
Keyword(s):  
Mayo Clinic ◽  
Population Based ◽  
Clinic Study

scholarly journals Lipidomic Network of Mild Cognitive Impairment from the Mayo Clinic Study of Aging

2021 ◽  
pp. 1-11
Author(s):  
Xuewei Wang ◽  
Hai Bui ◽  
Prashanthi Vemuri ◽  
Jonathan Graff-Radford ◽  
Clifford R. Jack Jr ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Network Analysis ◽  
Mayo Clinic ◽  
Plasma Lipids ◽  
Amyloid Β ◽  
Cognitive Status ◽  
Correlation Network ◽  
Lipid Species ◽  
Clinic Study

Background: Lipid alterations contribute to Alzheimer’s disease (AD) pathogenesis. Lipidomics studies could help systematically characterize such alterations and identify potential biomarkers. Objective: To identify lipids associated with mild cognitive impairment and amyloid-β deposition, and to examine lipid correlation patterns within phenotype groups Methods: Eighty plasma lipids were measured using mass spectrometry for 1,255 non-demented participants enrolled in the Mayo Clinic Study of Aging. Individual lipids associated with mild cognitive impairment (MCI) were first identified. Correlation network analysis was then performed to identify lipid species with stable correlations across conditions. Finally, differential correlation network analysis was used to determine lipids with altered correlations between phenotype groups, specifically cognitively unimpaired versus MCI, and with elevated brain amyloid versus without. Results: Seven lipids were associated with MCI after adjustment for age, sex, and APOE4. Lipid correlation network analysis revealed that lipids from a few species correlated well with each other, demonstrated by subnetworks of these lipids. 177 lipid pairs differently correlated between cognitively unimpaired and MCI patients, whereas 337 pairs of lipids exhibited altered correlation between patients with and without elevated brain amyloid. In particular, 51 lipid pairs showed correlation alterations by both cognitive status and brain amyloid. Interestingly, the lipids central to the network of these 51 lipid pairs were not significantly associated with either MCI or amyloid, suggesting network-based approaches could provide biological insights complementary to traditional association analyses. Conclusion: Our attempt to characterize the alterations of lipids at network-level provides additional insights beyond individual lipids, as shown by differential correlations in our study.

scholarly journals Comparison of Gait Parameters for Predicting Cognitive Decline: The Mayo Clinic Study of Aging

2016 ◽  
Vol 55 (2) ◽  
pp. 559-567 ◽  
Author(s):  
Rodolfo Savica ◽  
Alexandra M.V. Wennberg ◽  
Clinton Hagen ◽  
Kelly Edwards ◽  
Rosebud O. Roberts ◽  
...  
Keyword(s):  
Cognitive Decline ◽  
Mayo Clinic ◽  
Gait Parameters ◽  
Clinic Study

scholarly journals Comparison of PC and iPad administrations of the Cogstate Brief Battery in the Mayo Clinic Study of Aging: Assessing cross-modality equivalence of computerized neuropsychological tests

2018 ◽  
Vol 33 (6) ◽  
pp. 1102-1126 ◽  
Author(s):  
Nikki H. Stricker ◽  
Emily S. Lundt ◽  
Kelly K. Edwards ◽  
Mary M. Machulda ◽  
Walter K. Kremers ◽  
...  
Keyword(s):  
Mayo Clinic ◽  
Neuropsychological Tests ◽  
Clinic Study

scholarly journals P3-461: CORTICAL ATROPHY PATTERNS OF EMPIRICALLY DERIVED INCIDENT MCI SUBTYPES IN THE MAYO CLINIC STUDY OF AGING

2019 ◽  
Vol 15 ◽  
pp. P1141-P1142
Author(s):  
Mary M. Machulda ◽  
Emily S. Lundt ◽  
Sabrina M. Albertson ◽  
Anthony J. Spychalla ◽  
Michelle M. Mielke ◽  
...  
Keyword(s):  
Mayo Clinic ◽  
Cortical Atrophy ◽  
Clinic Study
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