Digital Commons Network^™

Sport Business And Cosma: Marketing Opportunities, Michael Ross, Reginald Overton, Bob Case, Heather Alderman

Human Movement Studies & Special Education Faculty Publications

The traditional path and location of sport management programs in Colleges of Education, and specifically physical education programs, is changing. In recent years, sport management programs have moved into Colleges of Business at a fast pace. Sport management courses are also being included in Business School curricula and course offerings. As the identity of sport management programs shifts and changes, what role does the accrediting body, the Commission on Sport Management Accreditation (COSMA), play in the marketing of the old and new sport management programs?

The purpose of this presentation is to examine the continually changing landscape of sport management …

Development Of A Personalized Conversational Health Agent To Enhance Physical Activity For Blind And Low-Vision Individuals, Soyoung Choi, Jooyoung Seo, Ashwath Krishnan, Sanchita Kamath, Justin Haegele

Human Movement Studies & Special Education Faculty Publications

Background: With the advancements in mobile health (mHealth) technologies, sighted individuals can benefit from mobile apps and wearable devices to more easily manage their physical activity (PA) and wellness data through intuitive touch gestures and effective data visualizations. However, for blind and low-vision (BLV) individuals, these conventional interaction methods are often challenging, not only limiting their ability to use these technologies but also potentially diminishing their motivation to adopt them to support health-promoting behaviors. We aimed to develop a health monitoring application called Personalized and Conversational Health Agent (PCHA) that supports BLV individuals with self-monitoring and management of their PA …

Comparative Effectiveness Of High-Intensity Interval Training And Moderate-Intensity Continuous Training On Cardiometabolic Health In Patients With Diabesity: A Systematic Review And Meta-Analysis Of Randomized Controlled Trials, Sameer Badri Al-Mhanna, Eric Tsz-Chun Poon, Barry A. Franklin, Mark A. Tarnopolsky, John A. Hawley, John M. Jakicic, Emmanuel Stamatakis, Jonathan P. Little, Linda S. Pescatello, Deborah Riebe, Walter R. Thompon, James S. Skinner, Sheri R. Colberg, Jonathan K. Ehrman, George S. Metsios, Helen T. Douda, Norsuhana Omar, Abdullah F. Alghannam, Alexios Batrakoulis

Human Movement Studies & Special Education Faculty Publications

Objective

To evaluate the effects of high-intensity interval training (HIIT) on cardiometabolic health-related outcomes in patients with type 2 diabetes mellitus and concurrent overweight/obesity (diabesity).

Design

Systematic review and meta-analysis of randomized controlled trials (RCTs).

Data sources

PubMed, Web of Science, Scopus, Science Direct, Cochrane Library, and Google Scholar databases were searched from inception up to January 31, 2025.

Eligibility criteria for selected studies

RCTs comparing HIIT alone ≥ 2 weeks in duration with moderate-intensity continuous training (MICT). Participants were adults with diabesity.

Results

A total of 26 RCTs qualified, involving 790 patients (50/50 female/male ratio; age: 59.8 ± 12.9 …

Autistic Young Adults' Experiences And Recommendations For Strength Training, Ashlyn Barry, Justin A. Haegele, Daniel Schaefer, Kristen A. Pickett, Luis Columna

Human Movement Studies & Special Education Faculty Publications

Strength training can be a beneficial form of physical activity (PA), but little research has examined how autistic individuals experience it or what makes programs accessible and supportive. Therefore, the purpose of this study was twofold: (1) to explore autistic young adults’ experiences with strength training, and (2) examine their recommendations for designing programs that meet their needs. Thirteen autistic young adults (ages 22–25) participated in semi-structured interviews about their strength training experiences and preferences for program design. A qualitative descriptive approach with a constructivist lens guided reflexive analysis. Participants described key factors that influenced their participation in strength training, …

The Efficacy Of Physical Activity Or Exercise Among Individuals With Cerebral Palsy: An Umbrella Review Of Systematic Reviews, Majed M. Alhumaid, Faris Yahya I. Asiri, Mohamed A. Said, Justin A. Haegele

Human Movement Studies & Special Education Faculty Publications

Introduction

Cerebral palsy (CP) is the most common childhood disability, affecting 1.5-3 per 1000 live births. Physical exercises have been shown to improve muscle and limb outcomes in CP. This systematic review critically appraises existing systematic reviews on the effects of physical activity and exercise on physical, functional, and psychosocial outcomes in individuals with CP compared to those without.

Methods

Using a PICO framework, the question was: In patients with CP, do physical activity and exercise improve muscle- and limb-related outcomes compared to no intervention or usual care? PubMed, Cochrane, ISI Web of Science, and Embase were searched for systematic …

Impact Of Aerobic Exercise On Cardiometabolic Health In Patients With Diabesity: A Systematic Review And Meta-Analysis Of Randomized Controlled Trials, Sameer Badri Al-Mhanna, Barry A. Franklin, John M. Jakicic, Emmanuel Stamatakis, Linda S. Pescatello, Deborah Riebe, Walter R. Thompson, James S. Skinner, Sheri R. Colberg, Jonathan K. Ehrman, George S. Metsios, Norsuhana Omar, Nouf H. Alkhamees, Bodor Bin Sheeha, Abdullah F. Alghannam, Alexios Batrakoulis

Human Movement Studies & Special Education Faculty Publications

Purpose

This systematic review and meta-analysis of randomized controlled trials (RCTs) aimed to evaluate the effects of aerobic exercise on cardiometabolic health-related indices in patients with type 2 diabetes and concurrent overweight/obesity (diabesity).

Methods

PubMed, Web of Science, Scopus, Science Direct, Cochrane Library, and Google Scholar databases were searched from inception to October 2024. The search strategy included the following keywords: diabetes, aerobic exercise, and endurance training. RCTs comparing aerobic exercise training ≥2 weeks in duration to standard treatment were considered eligible. Participants were adults with diabesity.

Results

A total of 1391 middle-aged/older adult patients (55 % females) were included …

Impact Of High-Intensity Interval Training On Cardiometabolic Health In Patients With Diabesity: A Systematic Review And Meta-Analysis Of Randomized Controlled Trials, Sameer Badri Al-Mhanna, Barry A. Franklin, Mark A. Tarnopolsky, John A. Hawley, John M. Jakicic, Emmanuel Stamatakis, Jonathan P. Little, Linda S. Pescatello, Deborah Riebe, Walter R. Thompson, James S. Skinner, Sheri R. Colberg, Jonathan K. Ehrman, George S. Metsios, Helen T. Douda, Norsuhana Omar, Abdullah F. Alghannam, Alexios Batrakoulis

Human Movement Studies & Special Education Faculty Publications

Aims This systematic review and meta-analysis aimed to evaluate the effects of high-intensity interval training (HIIT) on cardiometabolic health-related outcomes in patients with type 2 diabetes and obesity (diabesity).

Methods PubMed, Web of Science, Scopus, Science Direct, Cochrane Library, and Google Scholar databases were searched from inception up to November 2024. The search strategy encompassed the following keywords: diabetes, obesity, and HIIT. Randomized controlled trials (RCTs) recruiting adult participants with diabesity and comparing HIIT per se for ≥ 2 weeks in duration with non-exercise standard treatment were included.

Results A total of 18 RCTs qualified involving 504 patients (52/48 women/men …

Hearing From Working Nurses: Incorporating Real-World Knowledge Practices Into The Framework To Better Instruct Tomorrow’S Healthcare Professionals, Anne R. Diekema, Elizabeth (Betsy) S. Hopkins, Britt Fagerheim, Brandon Patterson, Nena Schvaneveldt

Library Faculty & Staff Publications

There is a certain duality to the role of librarians in higher education as the job requires preparing students for their current academic work, such as doing research for writing papers, while at the same time preparing students for their future professional information work.¹ Librarians seeking guidance on teaching information literacy more comprehensively are left to study the professional standards of the targeted professional group,² and find or carry out research on these practitioners.³ Synthesizing and translating these findings into instructional approaches while staying true to existing information literacy standards, however, can be challenging.⁴ In this …

A Computational Fluid Dynamics (Cfd) Based Assessment Of Animal Borne Data Logger Impact, Christopher Pass

School of Engineering, Computing and Mathematics Theses

Animal borne data loggers are powerful tools that provide researchers with valuable insight into the behaviour and ecology of free-ranging marine animals. Despite their usefulness, the addition of a tag inevitably alters the forces acting on a swimming body and can increase the energetic cost of swimming. Computational Fluid Dynamics (CFD) tools offer a powerful means of assessing tag impact and a number of previous works have employed CFD to this end but have typically been based on a range of simplifying assumptions. Chief amongst these simplifications is that animals can be modelled as rigid bodies with a simple tag …

Graphene Biosensors For The Detection Of Alzheimer's And Cardiovascular Disease Protein Biomarkers, Theodore Bungon

School of Engineering, Computing and Mathematics Theses

Dementia describes a syndrome or group of symptoms associated with the decline of brain functioning such as loss of memory, mood, judgment, language, thinking speed, mental sharpness and other mental abilities. Different classes of Dementia are Jakob Disease, Korsakoff Syndrome, Vascular dementia, Parkinson’s disease, Huntington disease, young onset dementia, Alzheimer’s disease (AD) etc. At present, AD is irreversible and incurable, and it worsens overtime, it is neurodegenerative, caused by the accumulation or build-up of abnormal protein in the brain. It is a type of dementia that is common, affecting about 60% of patients with dementia diagnosis. Globally, over 54 million …

Automated Vulnerability Scanning And Security Audit Framework For Maritime Systems, Avanthika Vineetha Harish

School of Engineering, Computing and Mathematics Theses

The maritime industry is a well-established sector, with the shipping industry dating back hundreds of years. The devices in this sector differ from those in the Information Technology (IT) sector in their usage, operations, hardware, andprotocols. Technological advancements have introduced new challenges in the sector, including the increased risk of cyber attacks. To effectively identify, respond to, and analyse these threats, it is essential to understand the cyber securityvulnerabilities in maritime systems and system-of-systems.Currently, there are no standardised methods or automated tools for conducting cyber security testing of maritime systems. This thesis presents an automated vulnerability scanning and security audit …

Mesoscale Modelling For Investigating Effective Properties And Collective Performance Of Geopolymer Concrete, Feiyu Shi

School of Engineering, Computing and Mathematics Theses

Concrete is a versatile construction material which, depending on architectural design and structural analysis, can be shaped into various forms so that requirements for beauty and functions of designed facilities can be met while structural strength of the facilities is sufficient to sustain both gravity and external loadings. It is so favoured by engineers that its consumption is just after water. However, Portland cement – a main ingredient for use in the manufacture of traditional concrete – is quite a “dirty” material which releases a large amount of carbon dioxide in the process of its production. Carbon dioxide is one …

Anomaly Detection Based Post Gripping Perception For Industrial Logistics Robotics, Firas Zoghlami

School of Engineering, Computing and Mathematics Theses

The adoption of low volume high mix manufacturing lines in global production sites has lead to a great need for flexible automation solutions. Flexible intelligent robots as an example are increasingly deployed in new industrial environments, such as the intra-logistics, in order to increase the automation level of the mentioned manufacturing lines. The lack of structure and the high dynamic of such industrial environments lead to potential performance deterioration related to unexpected events that are not recognized by the robot. Detecting such changes in the robot environment is believed in this thesis to be possible with anomaly detection techniques which …

A Framework For Tailored Organisational Cyber Security Training, Zinnar Ghasem

School of Engineering, Computing and Mathematics Theses

Zinnar Ahmed Ghasem A framework for tailored organisational cyber security training AbstractSociety is increasingly becoming dependent on cyberspace; in such it is becoming an integral part of every-day life of most people in both work and home context. This dependency spans across individuals, businesses, and organisations including governments who are relying on cyberspace for various services, ranging from email to social networking, and from cloud computing to ecommerce and financial automated process and transactions. These services are vulnerable and face sophisticated cyber threats, risks and attacks, and potentially can result in financial losses and compromise the confidentiality, integrity, and availability …

Upregulation Of Delta Opioid Receptor By Meningeal Interleukin-10 Prevents Relapsing Pain, Kufreobong E Inyang, Jaewon Sim, Kimberly B Clark, Matan Geron, Karli Monahan, Christine Evans, Patrick O'Connell, Sophie Laumet, Bo Peng, Jiacheng Ma, Cobi J Heijnen, Robert Dantzer, Grégory Scherrer, Annemieke Kavelaars, Matthew Bernard, Yasser A Aldhamen, Joseph K Folger, Alexis Bavencoffe, Geoffroy Laumet

Faculty, Staff and Student Publications

Chronic pain often includes periods of transient amelioration and even remission that alternate with severe relapsing pain. While most research on chronic pain has focused on pain development and maintenance, there is a critical unmet need to better understand the mechanisms that underlie pain remission and relapse. We found that interleukin (IL)-10, a pain resolving cytokine, is produced by resident macrophages in the spinal meninges during remission from pain and signaled to IL-10 receptor-expressing sensory neurons. Using unbiased RNA-sequencing, we identified that IL-10 upregulated expression and antinociceptive activity of δ-opioid receptor (δOR) in the dorsal root ganglion. Genetic or pharmacological …

Historia Romów Amerykańskich. Historyczne Nieobecności I Ich Konsekwencje [Romani American History: Historical Absences And Their Consequences], Ann Ostendorf

History Faculty Scholarship

American historians have created an historical absence by ignoring Romani people’s presence in evidence from the past. The origins of this „absence-ing” are multifaceted and interrelated, but fundamentally stem from the continued influence of out-of-date and unprofessional ways of thinking and knowing. Examining and understanding „absence-ing” requires a consideration of the nature of the discipline of history as well as a history of the missing historicization of Romani Americans. The consequences of the „absence-ing” of Romani people from American histories have negatively and distinctively influenced four different groups of people: historians of the Americas; historians of Romani people in Europe; …

Affective Bias Predicts Changes In Depression During Deep Brain Stimulation Therapy, Brian Cui, Madaline M Mocchi, Brian A Metzger, Prathik Kalva, John F Magnotti, Jess G Fiedorowicz, Allison Waters, Christopher K Kovach, Yvonne Y Reed, Raissa K Mathura, Camille Steger, Bailey Pascuzzi, Kourtney Kanja, Ashan Veerakumar, Vineet Tiruvadi, Andrea Crowell, Lydia Denison, Christopher J Rozell, Nader Pouratian, Wayne Goodman, Patricio Riva Posse, Helen S Mayberg, Kelly Rowe Bijanki

Faculty, Staff and Students Publications

Introduction: Deep brain stimulation (DBS) is a promising treatment for refractory depression, utilizing surgically implanted electrodes to stimulate specific anatomical targets within the brain. However, limitations of patient-reported and clinician-administered mood assessments pose obstacles in evaluating DBS treatment efficacy. In this study, we investigated whether an affective bias task, which leverages the inherent negative interpretation bias seen in individuals with depression, could serve as a reliable measure of mood changes during DBS therapy in patients with treatment-resistant depression.

Methods: Two cohorts of patients (n = 8, n = 2) undergoing DBS for treatment-resistant depression at different academic medical centers …

Privacy-Preserving Collaborative Population Stratification With Dynamic Algorithm And Hyperparameter Selection, Maryam Ghasemian, Lynette Hammond Gerido, Erman Ayday

Faculty, Staff and Student Publications

We present a privacy-preserving selection layer for collaborative population stratification under 𝜖-local differential privacy (LDP). Rather than fixing a single pipeline (e.g., PCA+K-Means with preset 𝐾), our framework lets parties choose among three DP pipelines: PCA→Noise, Noise→PCA, and Noise-Only, according to their resources, and has an honest-but-curious server aggregate only DP shares to automatically select the clustering algorithm (K-Means, GMM, or Hierarchical) and 𝐾 that maximize internal metrics (Silhouette, Calinski–Harabasz, Davies–Bouldin). Because selection operates on DP data, it adds no further privacy loss. On openSNP (942 samples, 28,396 SNPs), the PCA-augmented pipelines yield higher utility …

On The Empirical Power Of Goodness-Of-Fit Tests In Watermark Detection, Weiqing He, Xiang Li, Tianqi Shang, Li Shen, Weijie Su, Qi Long

Faculty, Staff and Student Publications

Large language models (LLMs) raise concerns about content authenticity and integrity because they can generate human-like text at scale. Text watermarks, which embed detectable statistical signals into generated text, offer a provable way to verify content origin. Many detection methods rely on pivotal statistics that are i.i.d. under human-written text, making goodness-of-fit (GoF) tests a natural tool for watermark detection. However, GoF tests remain largely underexplored in this setting. In this paper, we systematically evaluate eight GoF tests across three popular watermarking schemes, using three open-source LLMs, two datasets, various generation temperatures, and multiple post-editing methods. We find that general …

Privacy-Preserving Verification Of Ml Preprocessing Via Model Behavior Indicators, Wenbiao Li, Anisa Halimi, Jaideep Vaidya, Xiaoqian Jiang, Erman Ayday

Faculty, Staff and Student Publications

We present a privacy-preserving framework to verify whether a declared data preprocessing pipeline was correctly applied before training a machine learning model on sensitive data. The verifier has only black-box query access to the model and combines three behavior indicators: shift in prediction accuracy, Kullback-Leibler (KL) divergence between output distributions, and explanation vectors from Local Interpretable Model-agnostic Explanations (LIME) and SHapley Additive exPlanations (SHAP). The method requires neither the original training records nor ground-truth labels. It supports two tasks: (i) a binary decision on correctness and (ii) a multi-class diagnosis identifying which step is missing. Experiments on three tabular datasets …

Safeguarding Privacy In Genome Research: A Comprehensive Framework For Authors, Maryam Ghasemian, Lynette Hammond Gerido, Erman Ayday

Faculty, Staff and Student Publications

As genomic research continues to advance, sharing of genomic data and research outcomes has become increasingly important for fostering collaboration and accelerating scientific discovery. However, such data sharing must be balanced with the need to protect the privacy of individuals whose genetic information is being utilized. This paper presents a bidirectional framework for evaluating privacy risks associated with data shared (both in terms of summary statistics and research datasets) in genomic research papers, particularly focusing on re-identification risks such as membership inference attacks (MIA). The framework consists of a structured workflow that begins with a questionnaire designed to capture researchers' …

Not Fully Synthetic: Llm-Based Hybrid Approaches Towards Privacy-Preserving Clinical Note Sharing, Atiquer Rahman Sarkar, Yao-Shun Chuang, Xiaoqian Jiang, Noman Mohammed

Faculty, Staff and Student Publications

The publication and sharing of clinical notes are crucial for healthcare research and innovation. However, privacy regulations such as HIPAA and GDPR pose significant challenges. While de-identification techniques aim to remove protected health information, they often fall short of achieving complete privacy protection. Similarly, the current state of synthetic clinical note generation can lack nuance and content coverage. To address these limitations, we propose an approach that combines de-identification, filtration, and synthetic clinical note generation. Variations of this approach currently retain 36%-61% of the original note's content and fill the remaining gaps using an LLM, ensuring high information coverage. We …

Enhancing Cross-Domain Generalizability In Social Determinants Of Health Extraction With Prompt-Tuning Large Language Models, Cheng Peng, Zehao Yu, Kaleb E Smith, Wei-Hsuan Lo-Ciganic, Jiang Bian, Yonghui Wu

Faculty, Staff and Student Publications

The progress in natural language processing (NLP) using large language models (LLMs) has greatly improved patient information extraction from clinical narratives. However, most methods based on the fine-tuning strategy have limited transfer learning ability for cross-domain applications. This study proposed a novel approach that employs a soft prompt-based learning architecture, which introduces trainable prompts to guide LLMs toward desired outputs. We examined two types of LLM architectures, including encoder-only GatorTron and decoder-only GatorTronGPT, and evaluated their performance for the extraction of social determinants of health (SDoH) using a cross-institution dataset from the 2022 n2c2 challenge and a cross-disease dataset from …

Enhancing Medical Coding Efficiency Through Domain-Specific Fine-Tuned Large Language Models, Zhen Hou, Hao Liu, Jiang Bian, Xing He, Yan Zhuang

Faculty, Staff and Student Publications

Medical coding is essential for healthcare operations yet remains predominantly manual, error-prone (up to 20%), and costly (up to $18.2 billion annually). Although large language models (LLMs) have shown promise in natural language processing, their application to medical coding has produced limited accuracy. In this study, we evaluated whether fine-tuning LLMs with specialized ICD-10 knowledge can automate code generation across clinical documentation. We adopted a two-phase approach: initial fine-tuning using 74,260 ICD-10 code-description pairs, followed by enhanced training to address linguistic and lexical variations. Evaluations using a proprietary model (GPT-4o mini) on a cloud platform and an open-source model (Llama) …

Using Digitally Delivered Measurement-Based Care In Substance Use Disorder Treatment: Qualitative Analysis Of Patients’ Perspectives, Tessa Frohe, Eliza B Cohn, Madeline C Frost, Tascha R Johnson, Kevin A Hallgren

Faculty, Staff and Student Publications

Background: Measurement-based care (MBC) is a clinical practice where patients complete standardized outcome measures throughout treatment to monitor clinical progress and inform clinical decision-making. However, MBC is rarely adopted in routine substance use disorder (SUD) treatment. We developed a digital MBC system and pilot tested it in an outpatient adult community SUD treatment setting.

Objectives:The current study aims to characterize qualitative feedback from the pilot participants about their experiences using the MBC system in SUD treatment, focusing on perceived benefits, drawbacks, and suggestions for improvement.

Methods: Participants (N=30; n=11 female 37%) completed weekly MBC questionnaires via smartphone for 6 …

Medication Prescribing Checklists And Their Impact On Patient Safety: A Scoping Review, Yilei Liu, Tate W Miner, Kawtar Zouaidi, Anika N Roy, Muhammad F Walji, Kristin N Ray, Donald B Rindal, Elsbeth Kalenderian, Katie J Suda

Faculty, Staff and Student Publications

Background: Medication prescribing checklists and the impact on patient safety remain unexplored.

Objectives: This scoping review aimed to identify key elements of these checklists and evaluate their impact on patient safety outcomes.

Methods: We searched PubMed and Embase for studies reporting checklists in medication prescribing practices and the impact on patient safety outcomes as of October 23, 2024. We applied Fisher's exact test to evaluate the association between checklist effectiveness (based on patient safety outcomes) with study design (randomized controlled trials [RCTs] vs non-RCTs) and intervention type (bundled intervention vs checklist-only intervention).

Results: After full-text review, 53 articles met inclusion …

Daily Movement Activities Are Associated With Within-Person Instability Of Cognitive Function In Older Adults: Evidence From An Ambulatory Assessment Study, Chih-Hsiang Yang, Donald Hedeker, Jongwon Lee, Halle Prine, Donna Coffman, Jingkai Wei, Jonathan George Hakun

Faculty, Staff and Student Publications

Background and objectives: Physical inactivity and excessive sedentary time (ST) are associated with poor cognitive health in older adults. However, current literature largely relies on cross-sectional designs or in-lab cognitive assessments, which do not adequately reflect cognitive function in naturalistic settings. Further, existing studies have largely overlooked the variability or the instability in daily cognitive function, which represents a critical marker of cognitive decline. This ambulatory assessment study examined the temporal associations of daily movement behaviors with the mean levels and the variability of cognition among older adults at risk of dementia.

Research design and methods: 96 older adults from …

Association Of Cardiovascular Disease With Dementia: A Longitudinal Analysis Using National Alzheimer’S Coordinating Center Data, Diana Summanwar, Hyena Kim, Jingkai Wei, Malaz Boustani, Alvaro Alonso, Ambar Kulshreshtha

Faculty, Staff and Student Publications

We analyzed how cardiovascular disease subtypes influence the prevalence and incidence of dementia among 30,582 individuals aged 50 and older in the National Alzheimer's Coordinating Center cohort. We calculated prevalence ratios (aPR) and hazard ratios (aHR), using models adjusted for age, sex, race, years of education, hypertension, diabetes, and dyslipidemia. Stroke (aPR: 1.26; 95% CI: 1.20-1.32) and history of arrhythmias (aPR: 1.17; 95% CI: 1.09-1.24) were associated with higher dementia prevalence. In survival analysis, stroke was associated with a 55% increased risk of incident dementia (aHR: 1.55; 95% CI: 1.36-1.77).

Oral Microbiome Brain Axis And Cognitive Performance In Older Adults, Darbaz Adnan, Phillip A Engen, Michelle Villanueva, Shohreh Raeisi, Vivian Ramirez, Ankur Naqib, Stefan J Green, Faraz Bishehsari, Lisa L Barnes, Ali Keshavarzian, Klodian Dhana, Robin M Voigt

Faculty, Staff and Student Publications

The human oral microbiota is a community of microorganisms that reside in the oral cavity, including lingual, buccal, and saliva, each niche with a distinct microbial composition. Alterations in oral microbiota have been associated with an increased risk of Alzheimer’s disease (AD). This study used data from 143 older adults in the MIND trial to evaluate the association between oral microbiome and cognitive function. Oral niche-specific differences (saliva, buccal, and lingual), as well as the microbiome composition differences (α and β diversity), were associated with cognitive function. A lower abundance of Gemella and a higher abundance of anaerobic pro-inflammatory bacteria …

How Different Is Invasive Coronary Physiology In The Left Anterior Descending Artery?, Nils P Johnson, K Lance Gould

Faculty, Staff and Student Publications

Given the large amount of myocardium supplied by the left anterior descending (LAD) artery, it understandably receives additional scrutiny during coronary angiography. However, these same features make the interpretation of pressure wire physiology more nuanced to avoid overtreatment. This review provides case examples to underpin an extensive literature review supporting the argument that a "positive" fractional flow reserve (FFR) in the LAD needs to be approached with caution. A large hyperemic gradient, or low FFR, can arise from either a severe and focal lesion in conjunction with low flow or diffuse disease coupled with intact or normal flow. Separating these …