Medicine and Health Sciences Commons^™

The Acute Impact Of Reflexive Performance Reset On Heart Rate Recovery In Division Ii Collegiate Basketball Athletes, Jordan Sorensen

Doctorate in Kinesiology

Reflexive Performance Reset (RPR) is a system of breathing and tactile input that utilizes specific reflex points that could impact heart rate recovery (recHR), average concentric power output (W), and athletic performance. Participants were recruited from the men’s and women’s basketball teams at Bemidji State University. All participants were between 18-25 years old, had no current injuries, and all had a minimum of 3 years experience. Subjects were randomly selected to be in 1 of 3 groups: Control (CON), RPR first session only (RPR1), and RPR second session only (RPR2). Acute effects of RPR on HR and W were assessed …

A Brief Commentary On Human-Ai Attachment And Possible Impacts On Family Dynamics, Brandon T. Mcdaniel Phd, Amanda Coupe, Allison Weston, Jessica A. Pater

Health Services and Informatics Research

Objective: In this brief commentary article, we outline an emerging idea that it may be possible that as Conversational Artificial Intelligence (CAI) becomes a part of an individual’s environment and interacts with them their attachment system may become activated, potentially leading to behaviors—such as seeking out the CAI to feel safe in times of stress—that have typically been reserved for human-to-human attachment relationships. We term this attachmentlike behavior, but future work must determine if these behaviors are driven by a Human-AI attachment or something else entirely. Background: CAI is an emerging technical advancement that is the cornerstone of many everyday …

Utility Of 3-Dimensional Echocardiography In Patients With Complex Intracardiac Connections And Ventricular Septal Defects, Aura Andrea Sanchez Mejia, Tam T Doan, Christian Lilje, Minh B Nguyen, Ricardo H Pignatelli, Shagun Sachdeva, Anitha Parthiban

Faculty, Staff and Students Publications

The surgical management of patients with complex intracardiac connections, ventricular septal defect (VSD), and 2 adequately sized ventricles is challenging. Understanding the VSD anatomy and its spatial relationships with the outflow tracts is critical to determining the suitability for biventricular repair. Transthoracic 2-dimensional echocardiography (2D-echo) is the primary cardiac imaging tool in congenital heart disease. Transthoracic 3-dimensional echocardiography (3D-echo) has an additive role over 2D-echo in the definition of the potential baffle pathway from the VSD to the semilunar valves, the anatomical characteristics of the VSD, and any substrate for systemic outflow tract obstruction postrepair. In this paper, we describe …

Eco-Microbiology: Discovering Biochemical Enhancers Of Pet Biodegradation By Piscinibacter Sakaiensis, Felipe-Andrés Piedra, Miguel A Salazar, Sara Abouelniaj, Raayed Rahman, Justin C Clark, Yimo Han, Zhao Wang, Anthony Maresso

Faculty, Staff and Students Publications

The scale of plastic pollution boggles the mind. Nearly 400 megatons of virgin plastics are produced annually, with an environmental release rate of 80%, and plastic waste, including microplastics and nanoplastics, is associated with a plethora of problems. The naturally evolved abilities of plastic-degrading microbes offer a starting point for generating sustainable and eco-centric solutions to plastic pollution-a field of endeavor we term eco-microbiology. Here, we developed an iterative discovery procedure coupling faster polyethylene terephthalate (PET)-dependent bioactivity screens with longer-term PET biodegradation assays to find biochemical boosters of PET consumption by the bacterium Piscinibacter sakaiensis. We discovered multiple hits …

Seizure Freedom And Reducing The Risk Of Sudden Unexpected Death In Patients With Focal Epilepsy Treated With Cenobamate Or Other Antiseizure Medications, Michael R. Sperling, William E. Rosenfeld, John Watson, Pavel Klein

Department of Neurology Faculty Papers

People with epilepsy who have uncontrolled seizures are at increased risk of all-cause mortality, injuries, comorbidities, mood and psychosocial disorders, and diminished quality of life. For those with focal epilepsy, focal to bilateral tonic-clonic seizures (FBTCS) pose the greatest risk for sudden unexpected death in epilepsy (SUDEP), a leading cause of premature mortality in people with epilepsy. Cenobamate is a third-generation antiseizure medication with demonstrated efficacy in controlling focal seizures, including FBTCS, in people with drug-resistant epilepsy. Treatment with cenobamate in clinical trials was associated with a reduction in all-cause mortality to a rate statistically indistinguishable from that seen in …

Editorial: Old Drugs: Confronting Recent Advancements And Challenges, Anna Wiktorowska-Owczarek, Diego Iacono, Magdalena Jasińska-Stroschein

Department of Neurology Faculty Papers

No abstract provided.

Molecular Assays For The Diagnosis Of Sepsis In Neonates: A Diagnostic Test Accuracy Review, Thomas H Dierikx, Douwe H Visser, Tim De Meij, James Versalovic, Mariska Mg Leeflang, Chris Cooper, Mohan Pammi

Faculty, Staff and Students Publications

Background: Microbial cultures for diagnosis of neonatal sepsis have low sensitivity and reporting delay. Advances in molecular microbiology have fostered new molecular assays that are rapid and may improve neonatal outcomes.

Objectives: To assess the diagnostic accuracy of various molecular methods for the diagnosis of culture-positive bacterial and fungal sepsis in neonates and to explore heterogeneity among studies by analyzing subgroups classified by gestational age and type of sepsis onset and compare molecular tests with one another.

Search methods: We searched CENTRAL, MEDLINE, Embase and trial registries in August 2023. We checked reference lists of included studies and systematic reviews …

The Night's Watch: Exploring How Sleep Protects Against Neurodegeneration, Samira Parhizkar, David M Holtzman

2020-Current year OA Pubs

Sleep loss is often regarded as an early manifestation of neurodegenerative diseases given its common occurrence and link to cognitive dysfunction. However, the precise mechanisms by which sleep disturbances contribute to neurodegeneration are not fully understood, nor is it clear why some individuals are more susceptible to these effects than others. This review addresses critical unanswered questions in the field, including whether sleep disturbances precede or result from neurodegenerative diseases, the functional significance of sleep changes during the preclinical disease phase, and the potential role of sleep homeostasis as an adaptive mechanism enhancing resilience against cognitive decline and neurodegeneration.

Novel Valve-In-Valve Transcatheter Systemic Tricuspid Valve Replacement In Congenitally Corrected Transposition Of The Great Arteries, Aamer Naofal, Riyad Yazan Kherallah, Wilson W Lam, Dhaval R Parekh

Faculty, Staff and Students Publications

A 41-year-old woman with history of situs inversus totalis, dextrocardia, congenitally corrected transposition of the great arteries, and systemic tricuspid valve replacement presented with worsening of her baseline orthopnea and exertional dyspnea caused by stenosis of the tricuspid valve. Given her high risk for surgery, valve-in-valve transcatheter tricuspid valve replacement was pursued and performed successfully, leading to resolution of her symptoms. Previous valve-in-valve tricuspid interventions are rare. This case is notable as the first systemic atrioventricular valve-in-valve replacement in a patient with dextrocardia through a septal approach.

Machine Learning Reveals Distinct Neuroanatomical Signatures Of Cardiovascular And Metabolic Diseases In Cognitively Unimpaired Individuals, Sindhuja Tirumalai Govindarajan, Aristeidis Sotiras, Daniel S Marcus, Pamela Lamontagne, Tammie L S Benzinger, John C Morris, Et Al.

2020-Current year OA Pubs

Comorbid cardiovascular and metabolic risk factors (CVM) differentially impact brain structure and increase dementia risk, but their specific magnetic resonance imaging signatures (MRI) remain poorly characterized. To address this, we developed and validated machine learning models to quantify the distinct spatial patterns of atrophy and white matter hyperintensities related to hypertension, hyperlipidemia, smoking, obesity, and type-2 diabetes mellitus at the patient level. Using harmonized MRI data from 37,096 participants (45-85 years) in a large multinational dataset of 10 cohort studies, we generated five in silico severity markers that: i) outperformed conventional structural MRI markers with a ten-fold increase in effect …

A Narrative Review Of The Covid-19 Infodemic And Censorship In Healthcare, Mitchell Liester, Sohaib Ashraf, Patricia Callisperis, Hector Carvallo, Shankara Chetty, Robert Enzenauer, Carlos Franco-Paredes, Raul Pineda, Panagis Polykretis, Rachel Wilkenson, Peter Mccullough

Secrecy and Society

Ideological and financial motivations have undermined science for decades. In this narrative review, we explore how organizations and governments used misinformation, disinformation, censorship, and secrecy to manage the COVID-19 pandemic. Various rationales for employing censorship and secrecy during the COVID-19 pandemic are examined including how organizations and governments create confusion about the risks associated with their products and blame avoidance to shift responsibility and to avoid accountability for their actions. Methods of censorship employed during the COVID-19 pandemic are reviewed, examples are provided, and the consequences of these actions are reviewed. Information included in this review was obtained from scientific …

2025 March 18 - Medical Student Education Committee Minutes, Medical Student Education Committee, East Tennessee State University

Medical Student Education Committee Minutes

No abstract provided.

Severe Maternal Morbidity In Twin Pregnancies: The Impact Of Body Mass Index And Gestational Weight Gain, Nathan A. Keller, Frank Ian Jackson, Insaf Kouba, Luis A. Bracero, Matthew J. Blitz

Specialty Medicine Faculty Publications

Objectives: The objective of this study was to determine whether body mass index (BMI) and gestational weight gain (GWG) are associated with severe maternal morbidity (SMM) in twin gestations.
Methods: This was a retrospective cohort of all twin pregnancies delivered at seven hospitals in New York from 2019 to 2023. Multivariable logistic regression modeled the probability of SMM as a function of BMI group, adjusting for excessive GWG, race-ethnicity, and obstetric comorbidity index. A total of 1,976 twin gestations were included.
Results: The SMM rate was 14.0 % (n=276).
Conclusions: Neither pre-pregnancy BMI nor GWG was associated with SMM, both …

Mind Matters: How Anxiety And Depression Shape Low-Risk Prostate Cancer Active Surveillance Adherence In A Real-World Population, Zachariah Taylor, Kayla Meyer, Danielle Terrenzio, Ryan Wong, Sharon L. Larson, Stephanie Kjelstrom, Natalina Contoreggi, Laurence Belkoff, Ilia Zeltser

Jefferson Hospital Staff Papers and Presentations

PURPOSE: While the mental health impact of a prostate cancer diagnosis, including low-risk prostate cancer, is well-documented, the effect of pre-existing anxiety and/or depression on adherence to active surveillance protocols in low-risk prostate cancer patients remains unclear. This study assessed the association between prior anxiety and/or depression and active surveillance adherence in men with low-risk prostate cancer.

METHODS: We conducted a retrospective, multicenter study involving 426 men diagnosed with low-risk prostate cancer who were recommended active surveillance as the primary management strategy. Active surveillance adherence was defined by completion of both a prostate-specific antigen test and a prostate biopsy within …

Rethinking Systematic Review Assignment Design In Graduate Health Science Education: Librarians' Perspectives, Laura Lipke, Carrie Price Mls

Library Scholarship

Background: This article examines the problematic phenomenon of faculty assigning graduate health science students systematic reviews as semester-based assignments while expecting a health science librarian to be a willing support system for those students. Despite published conduct and reporting guidelines establishing that systematic reviews require a team, time, and methodological expertise, some faculty still turn to full systematic review assignments in the classroom. The authors propose applying cognitive load theory and chunking the systematic review process into manageable steps, allowing both faculty and students to better understand the required methodologies and to enhance educational outcomes.

Experience: The authors have often …

Perceptions Of Artificial Intelligence In Healthcare: A Qualitative Study Among Physicians And Nurses In Florida, Aaron Miri

MUSC Theses and Dissertations

This investigation will leverage participant focus group interviews with 32 clinicians (16 nurses / 16 physicians) to study what, if anything, is inhibiting AI adoption across the hospital. Specific physicians will be sourced across the key service lines of primary care, oncology, cardiology, behavioral health, and emergency department medicine, as these tend to be patient volume driven and thus have the maximum amount of potential for positive impact leveraging AI. Nurses in these same departments will be assessed to analyze if there is a similarity or difference between the nursing and physician AI adoption barriers.

March 18, 2025 — 2025 Coalition Letter Supporting Dr. Lorna Breen Reauthorization Act, American Dental Association

Advocacy in Action letters

No abstract provided.

International Expert Consensus On The Current Status And Future Prospects Of Artificial Intelligence In Metabolic And Bariatric Surgery, Mohammad Kermansaravi, Sonja Chiappetta, Shahab Shahabi Shahmiri, Julian Varas, Chetan Parmar, Yung Lee, Jerry T. Dang, Asim Shabbir, Daniel Hashimoto, Amir Hossein Davarpanah Jazi, Ozanan R. Meireles, Edo Aarts, Hazem Almomani, Aayad Alqahtani, Ali Aminian, Estuardo Behrens, Dieter Birk, Felipe J. Cantu, Ricardo V. Cohen, Maurizio De Luca, Nicola Di Lorenzo, Bruno Dillemans, Mohamad Hayssam Elfawal, Daniel Moritz Felsenreich, Michel Gagner, Hector Gabriel Galvan, Carlos Galvani, Khaled Gawdat, Omar M. Ghanem, Et Al

School of Medicine Faculty Publications

Artificial intelligence (AI) is transforming the landscape of medicine, including surgical science and practice. The evolution of AI from rule-based systems to advanced machine learning and deep learning algorithms has opened new avenues for its application in metabolic and bariatric surgery (MBS). AI has the potential to enhance various aspects of MBS, including education and training, decision-making, procedure planning, cost and time efficiency, optimization of surgical techniques, outcome and complication prediction, patient education, and access to care. However, concerns persist regarding the reliability of AI-generated decisions and associated ethical considerations. This study aims to establish a consensus on the role …

Effect Of Different Cavity Designs And Cad/Cam Blocks On Fracture Resistance Of Maxillary Premolars With Mod Cavities, Hend Sayed Ahmed, Mohamed Fouad Haridy, Radwa Nagy Ahmed, Shimaa Elsayed Elhusseiny

Dentistry

No abstract provided.

Using Ehr Reminders To Control Hypertension, Umme Kulsoom Ghous, Logan Mcculley, Danielle C. Hall, Linda Katherine Lambert, Laura Reed Dnp, Aprn, Fnp-Bc, Cne

Doctor of Nursing Practice Projects

Purpose/Background

Hypertension is a significant risk factor for cardiovascular and kidney diseases but is often under-diagnosed and poorly managed. Electronic Health Records (EHR) can help by providing automated reminders to recheck elevated blood pressure (BP) readings, ensuring accurate measurements, and guiding clinical interventions. This study aims to determine if EHR-based reminders improve BP control in adult patients aged 21 and older, focusing on hypertension diagnosis accuracy and timely management.

Methods

After a literature review, the study took place in a primary care clinic and only included patients with an existing diagnosis of hypertension. Thirty patients were included in the study. …

The Importance Of Better Natural History Studies For Duchenne Muscular Dystrophy, David J. Birnkrant

Faculty Scholarship

No abstract provided.

Dietary Effects On The Retina Of Hamsters, Nicole El-Darzi, Natalia Mast, Yong Li, Irina A. Pikuleva

Faculty Scholarship

The retina is a sensory tissue in the back of the eye, which captures visual information and relays it to the brain. The retinal pigment epithelium separates the neural retina from the choroidal (systemic) circulation and is thereby exposed to circulating lipoprotein particles. Herein, we used hamsters and conducted various retinal evaluations of animals fed either a normal diet or a Western-type diet (WTD). Prior to evaluations, hamsters were injected with indocyanine green (ICG), a fluorescent dye that binds to various proteins and lipids in the systemic circulation. The WTD increased plasma levels of total and HDL cholesterol 1.8- and …

Older Women In The U.S. Were Lonelier Than Men During The Covid-19 Pandemic, Qiyu Deng

Population Health Research Brief Series

Loneliness damages health and quality of life. The COVID-19 pandemic increased social isolation and loneliness among some groups in the U.S. This data slice uses data from the 2020 Health and Retirement Study to examine gender and age differences in loneliness among older adults (50+) in the U.S. during the first year of the pandemic. The author finds that loneliness was more prevalent among women than among men, with the highest rate among women ages 80 and older.

Endovascular Re-Intervention For Recurrent Lower Limb Ischemia After Previous Endovascular Intervention, Mohamed Abdelsamie Abdelkhalek Elbahat

Journal of Medicine in Scientific Research

Background Redo endovascular interventions are increasingly employed to address recurrent lower limb ischemia following prior successful procedures. Despite their minimally invasive nature and flexibility, there is limited data on their midterm effectiveness and safety. Objective To evaluate the effectiveness and outcomes of endovascular re-intervention in managing recurrent lower limb ischemia after previous procedures. Patients and Methods This study included 40 patients with recurrent lower limb ischemia, managed at Shebin Elkoom Teaching Hospital between 2023 and 2024. Patients had previously undergone successful endovascular interventions at least 30 days before recurrence and were treated with angioplasty alone or in combination with stenting. …

Diverse Ancestral Representation Improves Genetic Intolerance Metrics, Alexander L Han, Chloe F Sands, Dorota Matelska, Jessica C Butts, Vida Ravanmehr, Fengyuan Hu, Esmeralda Villavicencio Gonzalez, Nicholas Katsanis, Carlos D Bustamante, Quanli Wang, Slavé Petrovski, Dimitrios Vitsios, Ryan S Dhindsa

Duncan NRI Faculty and Staff Publications

The unprecedented scale of genomic databases has revolutionized our ability to identify regions in the human genome intolerant to variation—regions often implicated in disease. However, these datasets remain constrained by limited ancestral diversity. Here, we analyze whole-exome sequencing data from 460,551 UK Biobank and 125,748 Genome Aggregation Database (gnomAD) participants across multiple ancestries to test several key intolerance metrics, including the Residual Variance Intolerance Score (RVIS), Missense Tolerance Ratio (MTR), and Loss-of-Function Observed/Expected ratio (LOF O/E). We demonstrate that increasing ancestral representation, rather than sample size alone, critically drives their performance. Scores trained on variation observed in African and Admixed …

Comparing Postoperative Opioid Use In Primary And Revision Lumbar Fusion: A Propensity-Matched Analysis, Jonathan Dalton, Jarod Olson, Nicholas B. Pohl, Rajkishen Narayanan, Omar Tarawneh, Yunsoo Lee, Michael V. Carter, Gokul Karthikeyan, Logan Witt, Aayush Mehta, John J. Mangan, Mark F. Kurd, Jose A. Canseco, Alan S. Hilibrand, Alex R. Vaccaro, Gregory D. Schroeder, Christopher K. Kepler

Department of Orthopaedic Surgery Faculty Papers

OBJECTIVE: This study compared postoperative opioid use for patients undergoing short segment primary versus revision lumbar fusion.

METHODS: Patients who underwent primary or revision 1-2 level lumbar fusion (2017-2021) were included in this study. The state Prescription Drug Monitoring Program was reviewed for all patients to quantify preoperative and postoperative opioid, benzodiazepine, muscle relaxant, and gabapentin use. A 1:1 propensity match was performed to match primary lumbar fusion patients with revision lumbar fusion patients. Revision lumbar fusion patients were substratified into those with or without persistent postoperative opioid use to identify demographic differences between these patient cohorts.

RESULTS: The final …

Health System, Community-Based, Or Usual Dementia Care For Persons With Dementia And Caregivers: The D-Care Randomized Clinical Trial, David B Reuben, Thomas M Gill, Alan Stevens, Jeff Williamson, Elena Volpi, Maya Lichtenstein, Lee A Jennings, Rebecca Galloway, Jenny Summapund, Katy Araujo, David Bass, Lisa Weitzman, Zaldy S Tan, Leslie Evertson, Mia Yang, Katherine Currie, Aval-Na'ree S Green, Sybila Godoy, Sitara Abraham, Jordan Reese, Rafael Samper-Ternent, Roxana M Hirst, Pamela Borek, Peter Charpentier, Can Meng, James Dziura, Yunshan Xu, Eleni A Skokos, Zili He, Sherry Aiudi, Peter Peduzzi, Erich J Greene, D-Care Study

Faculty, Staff and Student Publications

Importance: The effectiveness of different approaches to dementia care is unknown.

Objective: To determine the effectiveness of health system-based, community-based dementia care, and usual care for persons with dementia and for caregiver outcomes.

Design, setting, and participants: Randomized clinical trial of community-dwelling persons living with dementia and their caregivers conducted at 4 sites in the US (enrollment June 2019-January 2023; final follow-up, August 2023).

Interventions: Participants were randomized 7:7:1 to health system-based care provided by an advanced practice dementia care specialist (n = 1016); community-based care provided by a social worker, nurse, or licensed therapist care consultant (n = 1016); …

A Deep Sparse Capsule Network For Non-Invasive Blood Glucose Level Estimation Using A Ppg Sensor, Narmatha Chellamani, Saleh Ali Albelwi, Manimurugan Shanmuganathan, Palanisamy Amirthalingam, Emad Muteb Alharbi, Hibah Qasem Salman Alatawi, Kousalya Prabahar, Jawhara Bader Aljabri, Anand Paul

School of Public Health Faculty Publications

Diabetes, a chronic medical condition, affects millions of people worldwide and requires consistent monitoring of blood glucose levels (BGLs). Traditional invasive methods for BGL monitoring can be challenging and painful for patients. This study introduces a non-invasive, deep learning (DL)-based approach to estimate BGL using photoplethysmography (PPG) signals. Specifically, a Deep Sparse Capsule Network (DSCNet) model is proposed to provide accurate and robust BGL monitoring. The proposed model’s workflow includes data collection, preprocessing, feature extraction, and predictions. A hardware module was designed using a PPG sensor and Raspberry Pi to collect patient data. In preprocessing, a Savitzky–Golay filter and moving …

Icos-Expressing Car-T Cells Mediate Durable Eradication Of Triple-Negative Breast Cancer And Metastasis, Shelley Herbrich, Mehdi Chaib, Padmanee Sharma

Faculty, Staff and Student Publications

Triple-negative breast cancer (TNBC) remains one of the most aggressive and therapeutically challenging breast cancer subtypes. In their recent study, Cao et al introduced a B7H3-specific chimeric antigen receptor (CAR)-T cell with constitutive inducible co-stimulator (ICOS) expression (ICOS-B7H3-CAR-T), which demonstrated eradication of TNBC, including metastases, in preclinical models. These CAR-T cells exploit the expression of ICOS ligand on TNBC cells, enhancing antitumor cytotoxicity through ICOS signaling. Compared with conventional B7H3-CAR-T cells, the ICOS-B7H3-CAR-T cells exhibited superior antitumor efficacy, increased cytokine secretion, and prolonged survival in xenograft murine models. This study highlights ICOS as a promising co-stimulatory molecule for improving CAR-T …

Mathematical Modeling To Address Questions In Breast Cancer Screening: An Overview Of The Breast Cancer Models Of The Cancer Intervention And Surveillance Modeling Network, Oguzhan Alagoz, Jennifer L Caswell-Jin, Harry J De Koning, Hui Huang, Xuelin Huang, Sandra J Lee, Yisheng Li, Sylvia K Plevritis, Swarnavo Sarkar, Clyde B Schechter, Natasha K Stout, Amy Trentham-Dietz, Nicolien Van Ravesteyn, Kathryn P Lowry

Faculty, Staff and Student Publications

The National Cancer Institute-funded Cancer Intervention and Surveillance Modeling Network (CISNET) breast cancer mathematical models have been increasingly utilized by policymakers to address breast cancer screening policy decisions and influence clinical practice. These well-established and validated models have a successful track record of use in collaborations spanning over 2 decades. While mathematical modeling is a valuable approach to translate short-term screening performance data into long-term breast cancer outcomes, it is inherently complex and requires numerous inputs to approximate the impacts of breast cancer screening. This review article describes the 6 independently developed CISNET breast cancer models, with a particular focus …