Geriatrics Commons^™

Editorial For The Genetics Of Alzheimer’S Disease Special Issue: October 2021, Laura Ibanez, Justin B. Miller

Sanders-Brown Center on Aging Faculty Publications

No abstract provided.

Ultrafiltration Rate And Incident Atrial Fibrillation Among Older Individuals Initiating Hemodialysis, Jennifer E Flythe, Sai Liu, Maria E Montez-Rath, Wolfgang C Winkelmayer, Tara I Chang

Faculty, Staff and Students Publications

BACKGROUND: Higher ultrafiltration (UF) rates are associated with numerous adverse cardiovascular outcomes among individuals receiving maintenance hemodialysis. We undertook this study to investigate the association of UF rate and incident atrial fibrillation in a large, nationally representative US cohort of incident, older hemodialysis patients.

METHODS: We used the US Renal Data System linked to the records of a large dialysis provider to identify individuals ≥67 years of age initiating hemodialysis between January 2006 and December 2011. We applied an extended Cox model as a function of a time-varying exposure to compute adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) …

Feasibility Of A Sensor-Controlled Digital Game For Heart Failure Self-Management: Randomized Controlled Trial, Kavita Radhakrishnan, Christine Julien, Tom Baranowski, Matthew O'Hair, Grace Lee, Atami Sagna De Main, Catherine Allen, Bindu Viswanathan, Edison Thomaz, Miyong Kim

Faculty, Staff and Students Publications

BACKGROUND: Poor self-management of heart failure (HF) contributes to devastating health consequences. Our innovative sensor-controlled digital game (SCDG) integrates data from sensors to trigger game rewards, progress, and feedback based on the real-time behaviors of individuals with HF.

OBJECTIVE: The aim of this study is to compare daily weight monitoring and physical activity behavior adherence by older adults using an SCDG intervention versus a sensors-only intervention in a feasibility randomized controlled trial.

METHODS: English-speaking adults with HF aged 55 years or older who owned a smartphone and could walk unassisted were recruited from Texas and Oklahoma from November 2019 to …

Prediction Of Fall Risk Among Community-Dwelling Older Adults Using A Wearable System, Thurmon Lockhart, Rahul Soangra, Hyunsoo Yoon, Teresa Wu, Christopher W. Frames, Raven Weaver, Karen A. Roberto

Physical Therapy Faculty Articles and Research

Falls are among the most common cause of decreased mobility and independence in older adults and rank as one of the most severe public health problems with frequent fatal consequences. In the present study, gait characteristics from 171 community-dwelling older adults were evaluated to determine their predictive ability for future falls using a wearable system. Participants wore a wearable sensor (inertial measurement unit, IMU) affixed to the sternum and performed a 10-m walking test. Measures of gait variability, complexity, and smoothness were extracted from each participant, and prospective fall incidence was evaluated over the following 6-months. Gait parameters were refined …

Pairwise Correlation Analysis Of The Alzheimer’S Disease Neuroimaging Initiative (Adni) Dataset Reveals Significant Feature Correlation, Erik D. Huckvale, Matthew W. Hodgman, Brianna B. Greenwood, Devorah O. Stucki, Katrisa M. Ward, Mark T. W. Ebbert, John S. K. Kauwe, The Alzheimer’S Disease Neuroimaging Initiative, The Alzheimer’S Disease Metabolomics Consortium, Justin B. Miller

Sanders-Brown Center on Aging Faculty Publications

The Alzheimer’s Disease Neuroimaging Initiative (ADNI) contains extensive patient measurements (e.g., magnetic resonance imaging [MRI], biometrics, RNA expression, etc.) from Alzheimer’s disease (AD) cases and controls that have recently been used by machine learning algorithms to evaluate AD onset and progression. While using a variety of biomarkers is essential to AD research, highly correlated input features can significantly decrease machine learning model generalizability and performance. Additionally, redundant features unnecessarily increase computational time and resources necessary to train predictive models. Therefore, we used 49,288 biomarkers and 793,600 extracted MRI features to assess feature correlation within the ADNI dataset to determine the …

Expanding The Horizon Of Research Into The Pathogenesis Of The White Matter Diseases Proceedings Of The 2021 Annual Workshop Of The Albert Research Institute For White Matter And Cognition, Shawn N. Whitehead, Askiel Bruno, Jeffrey M. Burns, S. Thomas Carmichael, Anna Csiszar, Jodi D. Edwards, Fanny Elahi, Giuseppe Faraco, Douglas B. Goulding, Deborah R. Gustafson, Vladimir Hachinski, Gary A. Rosenberg, Farzaneh A. Sorond, Andy Y. Shih, Kai Hei Tse, Zoltan Ungvari, Donna M. Wilcock, Kristen L. Zuloaga, Frank C. Barone

Sanders-Brown Center on Aging Faculty Publications

White matter pathologies are critically involved in the etiology of vascular cognitive impairment–dementia (VCID), Alzheimer’s disease (AD), and Alzheimer’s disease and related diseases (ADRD), and therefore need to be considered a treatable target (Roseborough A, Hachinski V, Whitehead S. White matter degeneration - a treatable target? Roseborough et al. JAMA Neurol [Internet]. 2020 Apr 27;77(7):793–4, [1]. To help address this often-missed area of research, several workshops have been sponsored by the Leo and Anne Albert Charitable Trust since 2015, resulting in the incorporation of “The Albert Research Institute for White Matter and Cognition” in 2020. The first annual “Institute” meeting …

Diversity In Alzheimer's Disease Drug Trials: The Importance Of Eligibility Criteria, Sanne Franzen, Jade Emily Smith, Esther Van Den Berg, Monica Rivera Mindt, Rozemarijn L. Van Bruchem-Visser, Erin L. Abner, Lon S. Schneider, Niels D. Prins, Ganesh M. Babulal, Janne M. Papma

Sanders-Brown Center on Aging Faculty Publications

INTRODUCTION: To generalize safety and efficacy findings, it is essential that diverse populations are well represented in Alzheimer's disease (AD) drug trials. In this review, we aimed to investigate participant diversity in disease-modifying AD trials over time, and the frequencies of participant eligibility criteria.

METHODS: A systematic review was performed using Medline, Embase, the Cochrane Library, and Clinicaltrials.gov, identifying 2247 records.

RESULTS: In the 101 included AD trials, participants were predominantly White (median percentage: 94.7%, interquartile range: 81.0-96.7%); and this percentage showed no significant increase or decrease over time (2001-2019). Eligibility criteria such as exclusion of persons with psychiatric illness …

Committee On High-Quality Alzheimer’S Disease Studies (Chads) Consensus Report, Gregory A. Jicha, Erin L. Abner, Steven E. Arnold, Maria C. Carrillo, Hiroko H. Dodge, Steven D. Edland, Keith N. Fargo, Howard H. Feldman, Larry B. Goldstein, James A. Hendrix, Ruth Peters, Julie M. Robillard, Lon S. Schneider, Jodi R. Titiner, Christopher J. Weber

Sanders-Brown Center on Aging Faculty Publications

Background: Consensus guidance for the development and identification of high-quality Alzheimer's disease clinical trials is needed for protocol development and conduct of clinical trials.

Methods: An ad hoc consensus committee was convened in conjunction with the Alzheimer's Association to develop consensus recommendations.

Results: Consensus was readily reached for the need to provide scientific justification, registration of trials, institutional review board oversight, conflict of interest disclosure, funding source disclosure, defined trial population, recruitment resources, definition of the intervention, specification of trial duration, appropriate payment for participant engagement, risk-benefit disclosure as part of the consent process, and the requirement …

Longitudinal Cognitive Performance Of Alzheimer's Disease Neuropathological Subtypes, Madeline Uretsky, Laura E. Gibbons, Shubhabrata Mukherjee, Emily H. Trittschuh, David W. Fardo, Patricia A. Boyle, C. Dirk Keene, Andrew J. Saykin, Paul K. Crane, Julie A. Schneider, Jesse Mez

Sanders-Brown Center on Aging Faculty Publications

Introduction: Alzheimer's disease (AD) neuropathological subtypes (limbic predominant [lpAD], hippocampal sparing [HpSpAD], and typical [tAD]), defined by relative neurofibrillary tangle (NFT) burden in limbic and cortical regions, have not been studied in prospectively characterized epidemiological cohorts with robust cognitive assessments.

Methods: Two hundred ninety-two participants with neuropathologically confirmed AD from the Religious Orders Study and Memory and Aging Project were categorized by neuropathological subtype based on previously specified diagnostic criteria using quantitative regional NFT counts. Rates of cognitive decline were compared across subtypes using linear mixed-effects models that included subtype, time, and a subtype-time interaction as predictors and four cognitive …

Sentinel Paper Review: Exploring Care Transitions From Patient, Caregiver, And Health-Care Provider Perspectives, Kevin T. Fuji, Aaron Malsch, Pamela Martin

Journal of Geriatric Emergency Medicine

No abstract provided.

Associations Between Air Pollution Exposure And Empirically Derived Profiles Of Cognitive Performance In Older Women, Andrew J. Petkus, Diana Younan, Xinhui Wang, Daniel P. Beavers, Mark A. Espeland, Margaret Gatz, Tara Gruenewald, Joel D. Kaufman, Helena C. Chui, Joshua Millstein, Stephen R. Rapp, Joann E. Manson, Susan M. Resnick, Gregory A. Wellenius, Eric A. Whitsel, Keith Widaman, Jiu-Chiuan Chen

Psychology Faculty Articles and Research

Background:Elucidating associations between exposures to ambient air pollutants and profiles of cognitive performance may provide insight into neurotoxic effects on the aging brain. Objective:We examined associations between empirically derived profiles of cognitive performance and residential concentrations of particulate matter of aerodynamic diameter < 2.5 (PM2.5) and nitrogen dioxide (NO2) in older women. Method:Women (N = 2,142) from the Women’s Health Initiative Study of Cognitive Aging completed a neuropsychological assessment measuring attention, visuospatial, language, and episodic memory abilities. Average yearly concentrations of PM2.5 and NO2 were estimated at the participant’s addresses for the 3 years prior to the assessment. Latent profile structural equation models identified subgroups of women exhibiting similar profiles across tests. Multinomial regressions examined associations between exposures and latent profile classification, controlling for covariates. Result:Five latent profiles were identified: low performance across multiple domains (poor multi-domain; n = 282;13%), relatively poor verbal episodic memory (poor memory; n = 216; 10%), average performance across all domains (average multi-domain; n = 974; 45%), superior memory (n = 381; 18%), and superior attention (n = 332; 15%). Using women with average cognitive ability as the referent, higher PM2.5 (per interquartile range [IQR] = 3.64μg/m3) was associated with greater odds of being classified in the poor memory (OR = 1.29; 95% Confidence Interval [CI] = 1.10–1.52) or superior attention (OR = 1.30; 95% CI = 1.10–1.53) profiles. NO2 (per IQR = 9.86 ppb) was associated with higher odds of being classified in the poor memory (OR = 1.38; 95% CI = 1.17–1.63) and lower odds of being classified with superior memory (OR = 0.81; 95% CI = 0.67–0.97). Conclusion:Exposure to PM2.5 and NO2 are associated with patterns of cognitive performance characterized by worse verbal episodic memory relative to performance in other domains.

Analysis Of Genes (Tmem106b, Grn, Abcc9, Kcnmb2, And Apoe) Implicated In Risk For Late-Nc And Hippocampal Sclerosis Provides Pathogenetic Insights: A Retrospective Genetic Association Study, Adam J. Dugan, Peter T. Nelson, Yuriko Katsumata, Lincoln M. P. Shade, Kevin L. Boehme, Merilee A. Teylan, Matthew D. Cykowski, Shubhabrata Mukherjee, John S. K. Kauwe, Timothy J. Hohman, Julie A. Schneider, Alzheimer’S Disease Genetics Consortium, David W. Fardo

Biostatistics Faculty Publications

Limbic-predominant age-related TDP-43 encephalopathy neuropathologic change (LATE-NC) is the most prevalent subtype of TDP-43 proteinopathy, affecting up to 1/3rd of aged persons. LATE-NC often co-occurs with hippocampal sclerosis (HS) pathology. It is currently unknown why some individuals with LATE-NC develop HS while others do not, but genetics may play a role. Previous studies found associations between LATE-NC phenotypes and specific genes: TMEM106B, GRN, ABCC9, KCNMB2, and APOE. Data from research participants with genomic and autopsy measures from the National Alzheimer’s Coordinating Center (NACC; n = 631 subjects included) and the Religious Orders Study and Memory …

Barriers And Benefits Experienced In Qualitative Geriatric Emergency Care Research During The Covid-19 Era, James D. Van Oppen, Emma Regen, Kay Phelps, Timothy J. Coats, Jose M. Valderas, Simon P. Conroy, Nicola Mackintosh

Journal of Geriatric Emergency Medicine

No abstract provided.

Exercise Intolerance In Older Adults With Heart Failure With Preserved Ejection Fraction: Jacc State-Of-The-Art Review, Ambarish Pandey, Sanjiv J Shah, Javed Butler, Dean L Kellogg, Gregory D Lewis, Daniel E Forman, Robert J Mentz, Barry A Borlaug, Marc A Simon, Julio A Chirinos, Roger A Fielding, Elena Volpi, Anthony J A Molina, Mark J Haykowsky, Flora Sam, Bret H Goodpaster, Alain G Bertoni, Jamie N Justice, James P White, Jingzhone Ding, Scott L Hummel, Nathan K Lebrasseur, George E Taffet, Iraklis I Pipinos, Dalane Kitzman

Faculty, Staff and Students Publications

Exercise intolerance (EI) is the primary manifestation of chronic heart failure with preserved ejection fraction (HFpEF), the most common form of heart failure among older individuals. The recent recognition that HFpEF is likely a systemic, multiorgan disorder that shares characteristics with other common, difficult-to-treat, aging-related disorders suggests that novel insights may be gained from combining knowledge and concepts from aging and cardiovascular disease disciplines. This state-of-the-art review is based on the outcomes of a National Institute of Aging-sponsored working group meeting on aging and EI in HFpEF. We discuss aging-related and extracardiac contributors to EI in HFpEF and provide the …

Random Forest-Integrated Analysis In Ad And Late Brain Transcriptome-Wide Data To Identify Disease-Specific Gene Expression, Xinxing Wu, Chong Peng, Peter T. Nelson, Qiang Cheng

Sanders-Brown Center on Aging Faculty Publications

Alzheimer's disease (AD) is a complex neurodegenerative disorder that affects thinking, memory, and behavior. Limbic-predominant age-related TDP-43 encephalopathy (LATE) is a recently identified common neurodegenerative disease that mimics the clinical symptoms of AD. The development of drugs to prevent or treat these neurodegenerative diseases has been slow, partly because the genes associated with these diseases are incompletely understood. A notable hindrance from data analysis perspective is that, usually, the clinical samples for patients and controls are highly imbalanced, thus rendering it challenging to apply most existing machine learning algorithms to directly analyze such datasets. Meeting this data analysis challenge is …

Editorial: Roles Of Sleep Disruption And Circadian Rhythm Alterations On Neurodegeneration And Alzheimer's Disease, Marilyn J. Duncan, Sigrid C. Veasey, Phyllis Zee

Neuroscience Faculty Publications

No abstract provided.

Apoε4 Lowers Energy Expenditure In Females And Impairs Glucose Oxidation By Increasing Flux Through Aerobic Glycolysis, Brandon C. Farmer, Holden C. Williams, Nicholas A. Devanney, Margaret A. Piron, Grant K. Nation, David J. Carter, Adeline E. Walsh, Rebika Khanal, Lyndsay E. A. Young, Jude C. Kluemper, Gabriela Hernandez, Elizabeth J. Allenger, Rachel Mooney, Lesley R. Golden, Cathryn T. Smith, J. Anthony Brandon, Vedant A. Gupta, Philip A. Kern, Matthew S. Gentry, Josh M. Morganti, Ramon C. Sun, Lance A. Johnson

Physiology Faculty Publications

BACKGROUND: Cerebral glucose hypometabolism is consistently observed in individuals with Alzheimer's disease (AD), as well as in young cognitively normal carriers of the Ε4 allele of Apolipoprotein E (APOE), the strongest genetic predictor of late-onset AD. While this clinical feature has been described for over two decades, the mechanism underlying these changes in cerebral glucose metabolism remains a critical knowledge gap in the field.

METHODS: Here, we undertook a multi-omic approach by combining single-cell RNA sequencing (scRNAseq) and stable isotope resolved metabolomics (SIRM) to define a metabolic rewiring across astrocytes, brain tissue, mice, and human subjects expressing APOE4.

RESULTS: Single-cell …

Can An Emergency Department Adequately Address An Older Adult Who Has Complex Needs?, Rami Tarabay, Adam Perry, Riwa Al Aridi, Michael Malone

Journal of Geriatric Emergency Medicine

Older adults account for a considerable percentage of all emergency departments (ED) patient encounters. Those with very complex needs or multiple co-morbid conditions often have lengthy ED evaluations culminating in admission, many of which are considered potentially avoidable. Provider and process elements can evolve to create efficient and more comprehensive geriatric assessments in ED. This paper describes an older adult with acute on chronic symptoms admitted through the ED to the Acute Care for Elders (ACE) inpatient unit. We illustrate how elements of the ACE model, when applied in the ED, may avoid hospitalization. We review the Domain Management Model …

Delirium In Frail Older Adults, Min Ji Kwak

Faculty, Staff and Student Publications

Delirium and frailty are prevalent geriatric syndromes and important public health issues among older adults. The prevalence of delirium among hospitalized older adults ranges from 15% to 75%, while that of frailty ranges from 12% to 24%. The exact pathophysiology of these two conditions has not been clearly identified, although several hypotheses have been proposed. However, these conditions are considered to be multifactorial in etiology and are associated with inflammation related to aging, alterations in vascular systems, genetics, and nutritional deficiency. Furthermore, clinically, they are significantly associated with frailty, which increases the risk of delirium by almost two- to three-fold …

Micrornas As Biomarkers For Predicting Complications Following Aneurysmal Subarachnoid Hemorrhage, Wang-Xia Wang, Joe E. Springer, Kevin W. Hatton

Sanders-Brown Center on Aging Faculty Publications

Aneurysmal subarachnoid hemorrhage (aSAH) is a high mortality hemorrhagic stroke that affects nearly 30,000 patients annually in the United States. Approximately 30% of aSAH patients die during initial hospitalization and those who survive often carry poor prognosis with one in five having permanent physical and/or cognitive disabilities. The poor outcome of aSAH can be the result of the initial catastrophic event or due to the many acute or delayed neurological complications, such as cerebral ischemia, hydrocephalus, and re-bleeding. Unfortunately, no effective biomarker exists to predict or diagnose these complications at a clinically relevant time point when neurologic injury can be …