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Full-Text Articles in Public Health

E-Cigarette Or Vaping Product Use-Associated Lung Injury: A Comprehensive Review, Mohammad Asim Amjad, Daniel Ocazionez Trujillo, Rosa M Estrada-Y-Martin, Sujith V Cherian May 2025

E-Cigarette Or Vaping Product Use-Associated Lung Injury: A Comprehensive Review, Mohammad Asim Amjad, Daniel Ocazionez Trujillo, Rosa M Estrada-Y-Martin, Sujith V Cherian

Faculty, Staff and Student Publications

E-cigarette or vaping product use-associated lung injury (EVALI) is a critical and potentially fatal form of lung injury that gained considerable public health concern in 2019. The use of e-cigarettes and vaping products is causally associated with EVALI, a condition characterized by a constellation of respiratory symptoms, such as coughing, shortness of breath, and chest pain. This comprehensive narrative literature review explores the complexities of EVALI, including its association with the structure and composition of e-cigarettes and its epidemiology, pathogenesis, clinical and radiological manifestations, management strategies, and public health implications. Moreover, it uncovers the long-term repercussions of EVALI and underscores …


Science Tikkun: A Bioscience Pandemic Framework In A Hebrew Tradition Of Global Repair, Peter Hotez May 2025

Science Tikkun: A Bioscience Pandemic Framework In A Hebrew Tradition Of Global Repair, Peter Hotez

Center for Medical Ethics and Health Policy Staff Publications

Over the past decade we have seen a steady increase in dangerous pandemic threats. They include two major Ebola epidemics and cholera in Africa; dengue, Zika, yellow fever in the Americas; a COVID-19 pandemic; and H5N1 in Texas. This is happening because of a confluence of modern forces including urbanization, deforestation, and climate change. Yet as pandemics emerge on a crowded and warming planet, anti-science disinformation and antisemitism impede our response. Science tikkun is an overarching framework for repair and redress. It honors the legacy of Maimonides, Teilhard de Chardin, and others who have sought reconciliation between science and religion.


Role Of Systemic Therapy In Localized Renal Cell Carcinoma: Where Do We Stand And Where Are We Heading?, Deepa Raghavan, Viktoriya Gibatova, Nikhil Vojjala, Nagaishwarya Moka, Aihua Edward Yen May 2025

Role Of Systemic Therapy In Localized Renal Cell Carcinoma: Where Do We Stand And Where Are We Heading?, Deepa Raghavan, Viktoriya Gibatova, Nikhil Vojjala, Nagaishwarya Moka, Aihua Edward Yen

Faculty, Staff and Students Publications

The effectiveness of immunotherapy and targeted therapy has been well established in metastatic renal cell cancer (mRCC). These therapies demonstrated higher overall response rates and led to prolonged survival. In contrast, in localized RCC, conventional treatment is either partial or complete nephrectomy. While surgery is a curative option in early stages, high recurrence rates remain a concern, with survival rates ranging from 53% to 85%, depending on the initial stage at the time of diagnosis. Given favorable outcomes with systemic therapies in the metastatic setting, there has also been an increased interest in utilizing these therapies for the localized stage …


Incorporating Latent Survival Trajectories And Covariate Heterogeneity In Time-To-Event Data Analysis: A Joint Mixture Model Approach, Fu-Wen Liang, Wenyaw Chan, Michael D Swartz, Bouthaina S Dabaja May 2025

Incorporating Latent Survival Trajectories And Covariate Heterogeneity In Time-To-Event Data Analysis: A Joint Mixture Model Approach, Fu-Wen Liang, Wenyaw Chan, Michael D Swartz, Bouthaina S Dabaja

Faculty, Staff and Student Publications

Background: Finite mixture models have been recently applied in time-to-event data to identify subgroups with distinct hazard functions, yet they often assume differing covariate effects on failure times across latent classes but homogeneous covariate distributions. This study aimed to develop a method for analyzing time-to-event data while accounting for unobserved heterogeneity within a mixture modeling framework.

Methods: A joint model was developed to incorporate latent survival trajectories and observed information for the joint analysis of time-to-event outcomes, correlated discrete and continuous covariates, and a latent class variable. It assumed covariate effects on survival times and covariate distributions vary across latent …


Theta Oscillons In Behaving Rats, M S Zobaer, Nastaran Lotfi, Carli M Domenico, Clarissa Hoffman, Luca Perotti, Daoyun Ji, Yuri Dabaghian May 2025

Theta Oscillons In Behaving Rats, M S Zobaer, Nastaran Lotfi, Carli M Domenico, Clarissa Hoffman, Luca Perotti, Daoyun Ji, Yuri Dabaghian

Faculty, Staff and Students Publications

Recently discovered constituents of the brain waves—the oscillons—provide a high-resolution representation of the extracellular field dynamics. Here, we study the most robust, highest-amplitude oscillons recorded in actively behaving male rats, which underlie the traditional θ-waves. The resemblances between θ-oscillons and the conventional θ-waves are manifested primarily at the ballpark level—mean frequencies, mean amplitudes, and bandwidths. In addition, both hippocampal and cortical oscillons exhibit a number of intricate, behavior-attuned, transient properties that suggest a new vantage point for understanding the θ-rhythms’ structure, origins and functions. In particular, we demonstrate that oscillons are frequency-modulated waves, with speed-controlled …


Clinical And Fundamental Research Progressions On Tumor-Infiltrating Lymphocytes Therapy In Cancer, Jiandong Hu, Mengli Jin, Weihong Feng, Barbara Nassif-Rausseo, Alexandre Reuben, Chunhua Ma, Gregory Lizee, Fenge Li May 2025

Clinical And Fundamental Research Progressions On Tumor-Infiltrating Lymphocytes Therapy In Cancer, Jiandong Hu, Mengli Jin, Weihong Feng, Barbara Nassif-Rausseo, Alexandre Reuben, Chunhua Ma, Gregory Lizee, Fenge Li

Faculty, Staff and Student Publications

Malignant tumors represent a significant threat to human health. Among the various therapeutic strategies available, cancer immunotherapy-encompassing adoptive cell transfer (ACT) and immune checkpoint blockade therapy-has emerged as a particularly promising approach following surgical resection, radiotherapy, chemotherapy, and molecular targeted therapies. This form of treatment elicits substantial antigen-specific immune responses, enhances or restores anti-tumor immunity, thereby facilitating the control and destruction of tumor cells, and yielding durable responses across a range of cancers, which can lead to the eradication of tumor lesions and the prevention of recurrence. Tumor-infiltrating lymphocytes (TILs), a subset of ACT, are characterized by their heterogeneity and …


Let-7 Restrains An Epigenetic Circuit In At2 Cells To Prevent Fibrogenic Intermediates In Pulmonary Fibrosis, Matthew J Seasock, Md Shafiquzzaman, Maria E Ruiz-Echartea, Rupa S Kanchi, Brandon T Tran, Lukas M Simon, Matthew D Meyer, Phillip A Erice, Shivani L Lotlikar, Stephanie C Wenlock, Scott A Ochsner, Anton Enright, Alex F Carisey, Freddy Romero, Ivan O Rosas, Katherine Y King, Neil J Mckenna, Cristian Coarfa, Antony Rodriguez May 2025

Let-7 Restrains An Epigenetic Circuit In At2 Cells To Prevent Fibrogenic Intermediates In Pulmonary Fibrosis, Matthew J Seasock, Md Shafiquzzaman, Maria E Ruiz-Echartea, Rupa S Kanchi, Brandon T Tran, Lukas M Simon, Matthew D Meyer, Phillip A Erice, Shivani L Lotlikar, Stephanie C Wenlock, Scott A Ochsner, Anton Enright, Alex F Carisey, Freddy Romero, Ivan O Rosas, Katherine Y King, Neil J Mckenna, Cristian Coarfa, Antony Rodriguez

Faculty, Staff and Students Publications

MicroRNA-mediated post-transcriptional regulation of lung alveolar type 2 (AT2) and AT1 cell differentiation remains understudied. Here, we demonstrate that the let-7 miRNA family plays a homeostatic role in AT2 quiescence by preventing the uncontrolled accumulation of AT2 transitional cells and promoting AT1 differentiation. Using mouse and organoid models, we show that genetic ablation of let-7a1/let-7f1/let-7d cluster (let-7afd) in AT2 cells prevents AT1 differentiation and leads to KRT8 transitional cell accumulation in progressive pulmonary fibrosis. Integration of AGO2-eCLIP with RNA-sequencing identified direct let-7 targets within an oncogene feed-forward regulatory network, including BACH1/EZH2/MYC, which drives an aberrant fibrotic cascade. Additional CUT&RUN-sequencing analyses …


Characterizing Spatial Epidemiology In A Heterogeneous Transmission Landscape Using The Spatial Transmission Count Statistic, Leke Lyu, Gabriella Veytsel, Guppy Stott, Spencer Fox, Cody Dailey, Lambodhar Damodaran, Kayo Fujimoto, Pamela Brown, Roger Sealy, Armand Brown, Magdy Alabady, Justin Bahl May 2025

Characterizing Spatial Epidemiology In A Heterogeneous Transmission Landscape Using The Spatial Transmission Count Statistic, Leke Lyu, Gabriella Veytsel, Guppy Stott, Spencer Fox, Cody Dailey, Lambodhar Damodaran, Kayo Fujimoto, Pamela Brown, Roger Sealy, Armand Brown, Magdy Alabady, Justin Bahl

Faculty, Staff and Student Publications

Background: Viral genomes contain records of geographic movements and cross-scale transmission dynamics. However, the impact of regional heterogeneity, particularly among rural and urban centers, on viral spread and epidemic trajectory has been less explored due to limited data availability. Intensive and widespread efforts to collect and sequence SARS-CoV-2 viral samples have enabled the development of comparative genomic approaches to reconstruct spatial transmission history and understand viral transmission across different scales.

Methods: We proposed the spatial transmission count statistic that efficiently summarizes the geographic transmission patterns imprinted in viral phylogenies. Guided by a time-scaled tree with ancestral trait states, we identified …


Development Of A Risk Score To Aid With The Diagnosis Of Infections After Spinal Cord Injury: Protocol For A Retrospective Cohort Study, Felicia Skelton, Larissa Grigoryan, Joann Pan, Ashley Collazo, Barbara Trautner May 2025

Development Of A Risk Score To Aid With The Diagnosis Of Infections After Spinal Cord Injury: Protocol For A Retrospective Cohort Study, Felicia Skelton, Larissa Grigoryan, Joann Pan, Ashley Collazo, Barbara Trautner

Faculty, Staff and Students Publications

Background: Patients with spinal cord injury (SCI) who develop urinary tract infection (UTI) present differently than the non-SCI population. UTIs can cause loss of quality of life and even lead to life-threatening complications including urosepsis. Challenges in SCI management include distinguishing symptomatic UTI from asymptomatic bacteriuria (ASB), which occurs often in patients with SCI, and the lack of standardization in UTI diagnosis in SCI.

Objective: This study aims to set the foundation for the development of a risk score to improve diagnostic accuracy of UTI after SCI.

Methods: This study will use data from the Veterans Health Administration Corporate Data …


Investigating Social Network Peer Effects On Hiv Care Engagement Using A Fuzzy-Like Matching Approach: Cross-Sectional Secondary Analysis Of The N2 Cohort Study, Cho-Hee Shrader, Dustin T Duncan, Redd Driver, Juan G Arroyo-Flores, Makella S Coudray, Raymond Moody, Yen-Tyng Chen, Britt Skaathun, Lindsay Young, Natascha Del Vecchio, Kayo Fujimoto, Justin R Knox, Mariano Kanamori, John A Schneider May 2025

Investigating Social Network Peer Effects On Hiv Care Engagement Using A Fuzzy-Like Matching Approach: Cross-Sectional Secondary Analysis Of The N2 Cohort Study, Cho-Hee Shrader, Dustin T Duncan, Redd Driver, Juan G Arroyo-Flores, Makella S Coudray, Raymond Moody, Yen-Tyng Chen, Britt Skaathun, Lindsay Young, Natascha Del Vecchio, Kayo Fujimoto, Justin R Knox, Mariano Kanamori, John A Schneider

Faculty, Staff and Student Publications

BACKGROUND: Social network data are essential and informative for public health research and implementation as they provide details on individuals and their social context. For example, health information and behaviors, such as HIV-related prevention and care, may disseminate within a network or across society. By harmonizing egocentric and digital networks, researchers may construct a sociocentric-like "fuzzy" network based on a subgroup of the population.

OBJECTIVE: We aimed to generate a more complete sociocentric-like "fuzzy" network by harmonizing alternative sources of egocentric and digital network data to examine relationships between participants in the Neighborhoods and Networks (N2) cohort study. Further, we …


Rationale For A 4-Month, Parallel-Group, Randomized Controlled Trial To Assess The Feasibility And Efficacy Of A Remotely Delivered Exercise Training Intervention For Hispanics/Latinos With Multiple Sclerosis (Ferla Ms), Victoria A Flores, Stephanie L Silveira, David X Marquez, Dominique Kinnett-Hopkins, Augusto Miravalle, Fabian Sierra-Morales, Zulma Hernández-Peraza, Robert W Motl May 2025

Rationale For A 4-Month, Parallel-Group, Randomized Controlled Trial To Assess The Feasibility And Efficacy Of A Remotely Delivered Exercise Training Intervention For Hispanics/Latinos With Multiple Sclerosis (Ferla Ms), Victoria A Flores, Stephanie L Silveira, David X Marquez, Dominique Kinnett-Hopkins, Augusto Miravalle, Fabian Sierra-Morales, Zulma Hernández-Peraza, Robert W Motl

Faculty, Staff and Student Publications

Background: Hispanic/Latino individuals with multiple sclerosis (MS) face greater disease burden and comorbidity due to limited healthcare access, underrepresentation in research, and social determinants of health (SDOH). Exercise training could manage health outcomes, but existing intervention research lacks Hispanic/Latino representation.

Methods: We propose a feasibility and efficacy study of a theory-based, remotely delivered exercise training intervention for enhancing health outcomes in Hispanics/Latinos with MS. This study involves a randomized controlled trial (RCT) design and compares an MS-specific exercise training program with an active control condition over a 4-month period in a sample of 50 individuals who self-identified as Hispanic/Latino with …


Gut Dysbiosis Patterns In Cvid Patients With Noninfectious Complications Observed In A Germ-Free Mouse Model Through Fecal Microbiota Transplantation, Joud Hajjar, Anita Y Voigt, Margaret E Conner, Alton G Swennes, Stephanie Fowler, Chadi Calarge, Danielle D Mendonca, Dominique Armstrong, Chen-Yen Chang, Jolan E Walter, Manish J Butte, Tor Savidge, Julia Oh, Farrah Kheradmand, Joseph F Petrosino May 2025

Gut Dysbiosis Patterns In Cvid Patients With Noninfectious Complications Observed In A Germ-Free Mouse Model Through Fecal Microbiota Transplantation, Joud Hajjar, Anita Y Voigt, Margaret E Conner, Alton G Swennes, Stephanie Fowler, Chadi Calarge, Danielle D Mendonca, Dominique Armstrong, Chen-Yen Chang, Jolan E Walter, Manish J Butte, Tor Savidge, Julia Oh, Farrah Kheradmand, Joseph F Petrosino

Faculty, Staff and Students Publications

Patients with common variable immunodeficiency (CVID) who develop noninfectious complications (NIC) have worse clinical outcomes than those with infections only (INF). While gut microbiome aberrations have been linked to NIC, reductionist animal models that accurately recapitulate CVID are lacking. Our aim in this study was to uncover potential microbiome roles in the development of NIC in CVID. We performed whole-genome shotgun sequencing on fecal samples from CVID patients with NIC, INF, and their household controls. We also performed fecal microbiota transplants from CVID patients to germ-free mice. We found potentially pathogenic microbes


Examining Demographic, Geographic, And Temporal Patterns Of Melanoma Incidence In Texas From 2000 To 2018: Retrospective Study, Kehe Zhang, Madison M Taylor, Jocelyn Hunyadi, Hung Q Doan, Adewole S Adamson, Paige Miller, Kelly C Nelson, Cici Bauer May 2025

Examining Demographic, Geographic, And Temporal Patterns Of Melanoma Incidence In Texas From 2000 To 2018: Retrospective Study, Kehe Zhang, Madison M Taylor, Jocelyn Hunyadi, Hung Q Doan, Adewole S Adamson, Paige Miller, Kelly C Nelson, Cici Bauer

Faculty, Staff and Student Publications

Background: Melanoma currently ranks as the fifth leading cancer diagnosis and is projected to become the second most common cancer in the United States by 2040. Melanoma detected at earlier stages may be treated with less-risky and less-costly therapeutic options.

Objective: This study aims to analyze temporal and spatial trends in melanoma incidence by stage at diagnosis (overall, early, and late) in Texas from 2000 to 2018, focusing on demographic and geographic variations to identify high-risk populations and regions for targeted prevention efforts.

Methods: We used melanoma incidence data from all 254 Texas counties from the Texas Cancer Registry (TCR) …


Modeling Buprenorphine Treatment Discontinuation In Opioid Use Disorder – Predictors And Disparities Using Statistical And Machine Learning Approaches, Wanru Guo May 2025

Modeling Buprenorphine Treatment Discontinuation In Opioid Use Disorder – Predictors And Disparities Using Statistical And Machine Learning Approaches, Wanru Guo

Dissertations and Theses (Open Access)

Background: Opioid Use Disorder (OUD) remains a major public health crisis in the U.S., and while buprenorphine is an effective treatment, early discontinuation undermines its impact. Existing statistical and machine learning (ML) models often overlook key social and healthcare-related predictors and fail to capture subgroup disparities, limiting their utility for equitable intervention design. This study addresses these gaps using a nationwide, longitudinal dataset and a two-stage modeling approach focused on disparity identification. Methods: We analyzed buprenorphine treatment episodes for OUD from the IQVIA Pharmetrics Plus database (2006–2023), defining discontinuation as episodes lasting under 180 days. A Cox proportional hazards model …


Interventions To Improve Timely Cancer Diagnosis: An Integrative Review, Mark L Graber, Bradford D Winters, Roni Matin, Rosann T Cholankeril, Daniel R Murphy, Hardeep Singh, Andrea Bradford May 2025

Interventions To Improve Timely Cancer Diagnosis: An Integrative Review, Mark L Graber, Bradford D Winters, Roni Matin, Rosann T Cholankeril, Daniel R Murphy, Hardeep Singh, Andrea Bradford

Faculty, Staff and Students Publications

Cancer will affect more than one in three U.S. residents in their lifetime, and although the diagnosis will be made efficiently in most of these cases, roughly one in five patients will experience a delayed or missed diagnosis. In this integrative review, we focus on missed opportunities in the diagnosis of breast, lung, and colorectal cancer in the ambulatory care environment. From a review of 493 publications, we summarize the current evidence regarding the contributing factors to missed or delayed cancer diagnosis in ambulatory care, as well as evidence to support possible strategies for intervention. Cancer diagnoses are made after …


Using A Transformer Language Model To Curate A Pulmonary Embolism Dataset From The Medical Information Mart For Intensive Care Iv: Mimic-Iv-Ext-Pe, Barbara D Lam, Shengling Ma, Iuliia Kovalenko, Peiqi Wang, Omid Jafari, Ang Li, Steven Horng May 2025

Using A Transformer Language Model To Curate A Pulmonary Embolism Dataset From The Medical Information Mart For Intensive Care Iv: Mimic-Iv-Ext-Pe, Barbara D Lam, Shengling Ma, Iuliia Kovalenko, Peiqi Wang, Omid Jafari, Ang Li, Steven Horng

Faculty, Staff and Students Publications

Background: Pulmonary embolism (PE) is a leading cause of preventable in-hospital mortality. Advances in diagnosis, risk stratification, and prevention can improve outcomes. Large, publicly available datasets are needed to move research forward, but are lacking in the field of hemostasis and thrombosis.

Objectives: In this study, we experiment using a machine learning language model to automatically add PE labels to a large dataset.

Methods: We extracted all computed tomography pulmonary angiography radiology reports (N = 19,942) from the Medical Information Mart for Intensive Care IV, a database of adult patients who presented to the emergency room or were admitted …


Repeat Ascaris Challenge Reduces Worm Intensity Through Gastric Cellular Reprograming, Yifan Wu, Charlie Suarez-Reyes, Nina L Tang, Alexander R Kneubehl, Jill E Weatherhead May 2025

Repeat Ascaris Challenge Reduces Worm Intensity Through Gastric Cellular Reprograming, Yifan Wu, Charlie Suarez-Reyes, Nina L Tang, Alexander R Kneubehl, Jill E Weatherhead

Faculty, Staff and Students Publications

Ascariasis (roundworm) is the most prevalent parasitic nematode infection worldwide, impacting approximately 500 million people predominantly in low- and middle-income countries (LMICs). While people of all ages are infected with Ascaris, infection intensity (defined by worm burden) paradoxically peaks in pre-school and school-aged children but then declines with age. The cause of age-dependent Ascaris worm intensity is not well understood but may be dependent on cellular changes in mucosal barrier sites. We have previously found that the gastric mucosa is a critical barrier site for Ascaris infection as ingested Ascaris larvae use acidic mammalian chitinase (AMCase) secreted by gastric chief …


Produce Prescription Policy Project For The Securement Of A Grant To Address Food Insecurity For Low-Income Type Ii Diabetic Patients, Isabel D. Garcia-Gallegos May 2025

Produce Prescription Policy Project For The Securement Of A Grant To Address Food Insecurity For Low-Income Type Ii Diabetic Patients, Isabel D. Garcia-Gallegos

Doctor of Nursing Practice Final Project Abstract

PURPOSE

This policy-focused Doctor of Nursing Practice (DNP) quality improvement (QI) project aims to secure grant funding through the Gus Schumacher Nutrition Incentive Program (GusNIP) to implement a produce prescription program at a community clinic in Texas. The program targets low-income adults (18-65 years) with type II diabetes who experience food insecurity and are affected by Medicaid non-expansion.

BACKGROUND

Texas’ decision not to expand Medicaid has exacerbated food insecurity among low-income residents, particularly those managing type II diabetes. This decision creates a healthcare policy gap that this project aims to address with a food-as-medicine program.

METHODOLOGY

Using the Plan-Do-Study-Act (PDSA) …


Identification Of Frailty Clusters Using Cross-Sectional Frailty And Frailty Trajectory: Cohort Of Heart Failure Veterans, Javad Razjouyan, Saeed Tofighi, Ariela R Orkaby, Biykem Bozkurt, Amir Sharafkhaneh, Molly J Horstman, Parag Goyal, Christopher I Amos, Orna Intrator, Aanand D Naik May 2025

Identification Of Frailty Clusters Using Cross-Sectional Frailty And Frailty Trajectory: Cohort Of Heart Failure Veterans, Javad Razjouyan, Saeed Tofighi, Ariela R Orkaby, Biykem Bozkurt, Amir Sharafkhaneh, Molly J Horstman, Parag Goyal, Christopher I Amos, Orna Intrator, Aanand D Naik

Faculty, Staff and Student Publications

BACKGROUND: Frailty is a syndrome associated with increased vulnerability and diminished physiological reserves. Three-quarters (78%) of heart failure (HF) patients are frail. Traditional frailty indices (FIs) assess cross-sectional deficits, while frailty trajectories (FTs) measure changes over time.

OBJECTIVES: This study aims to examine the interaction between FI and FT to enhance risk stratification in hospitalized adults with HF.

METHODS: This retrospective cohort study utilized data from the Veterans Health Administration, including 143,687 veterans aged >50 admitted for HF from 2005 to 2019. FT measurements were derived from FI calculations for each of the 3 years before index hospitalization. Unsupervised clustering …


The Influence Of Scientific, Genetic, And Health Literacy On Carrier Screening Decision-Making, Brenna D. Albracht May 2025

The Influence Of Scientific, Genetic, And Health Literacy On Carrier Screening Decision-Making, Brenna D. Albracht

Dissertations and Theses (Open Access)

For those wishing to assess their reproductive risks and make informed decisions in their reproductive planning, carrier screening for autosomal recessive and X-linked conditions, as well as cell-free DNA (cfDNA) screening for aneuploidy, are recommended during pregnancy. Despite similarities in purpose, sample requirements, insurance coverage, and safety, a lower percentage of individuals elect carrier screening than cfDNA screening, suggesting there may be a disconnect in what patients perceive as valuable information for their pregnancy. Previous studies have attempted to explain the factors associated with carrier screening uptake or decline; however, no models have yet accounted for a patient’s literacy level …


Survival In Patients With Rheumatoid Arthritis And Recently Diagnosed Early-Stage Colorectal, Lung, Or Prostate Cancer Receiving Tumour Necrosis Factor Inhibitors: A Retrospective Cohort Study, Juan I Ruiz, Xiudong Lei, Sharon H Giordano, Hui Zhao, Suja S Rajan, Heather Lin, Maria E Suarez-Almazor May 2025

Survival In Patients With Rheumatoid Arthritis And Recently Diagnosed Early-Stage Colorectal, Lung, Or Prostate Cancer Receiving Tumour Necrosis Factor Inhibitors: A Retrospective Cohort Study, Juan I Ruiz, Xiudong Lei, Sharon H Giordano, Hui Zhao, Suja S Rajan, Heather Lin, Maria E Suarez-Almazor

Faculty, Staff and Student Publications

Background: Tumor necrosis factor (TNF) inhibitors could impair tumoural immunity in patients with rheumatoid arthritis and cancer. We aimed to investigate the association between survival and TNF inhibitor treatment during the first 3 years after a diagnosis of colorectal, lung, or prostate cancer in patients with rheumatoid arthritis.

Methods: In this cohort study, we conducted a secondary data analysis of the Surveillance, Epidemiology, and End Results Medicare-linked dataset. We included patients aged 66 years and older with rheumatoid arthritis diagnosed with colorectal, lung, or prostate cancer between Jan 1, 2008, and Dec 31, 2019, using ICD-O-3 site and histology codes. …


An Updated Systematic Review And Consensus Definitions For Standardised Endpoints In Perioperative Medicine: Patient Comfort And Pain Relief, Paul S Myles, Sophie Wallace, Oliver Boney, Mari Botti, Frances Chung, Allan M Cyna, Tong J Gan, Michael P W Grocott, Mark P Jensen, Henrik Kehlet, Andrea Kurz, Maxime Leger, Ulrica Nilsson, Phillip Peyton, Daniel I Sessler, Martin R Tramèr, Christopher L Wu, Alfred Health Patient Experience And Consumer Engagement Group May 2025

An Updated Systematic Review And Consensus Definitions For Standardised Endpoints In Perioperative Medicine: Patient Comfort And Pain Relief, Paul S Myles, Sophie Wallace, Oliver Boney, Mari Botti, Frances Chung, Allan M Cyna, Tong J Gan, Michael P W Grocott, Mark P Jensen, Henrik Kehlet, Andrea Kurz, Maxime Leger, Ulrica Nilsson, Phillip Peyton, Daniel I Sessler, Martin R Tramèr, Christopher L Wu, Alfred Health Patient Experience And Consumer Engagement Group

Faculty, Staff and Student Publications

Background: Improving comfort during and after surgery is a key concern for anaesthetists and other clinicians. With the inclusion of patient and public involvement, we undertook a Delphi consensus process to update previously recommended endpoints to be used in clinical trials evaluating treatments aiming to improve patient comfort after surgery.

Methods: We undertook a systematic review to identify domains and outcome measures of patient comfort used in perioperative studies. Focus groups, workshops, and a multi-round Delphi consensus process that included clinician-researchers and a patient experience and consumer group updated a recommended list of standardised endpoints focused on patient comfort. Consensus …


Associations Between The Timing Of 24 H Physical Activity And Diabetes Mellitus: Results From A Nationally Representative Sample Of The Us Population, Qian Xiao, Qiuyu Feng, Martin K Rutter, Gali Albalak, Heming Wang, Raymond Noordam May 2025

Associations Between The Timing Of 24 H Physical Activity And Diabetes Mellitus: Results From A Nationally Representative Sample Of The Us Population, Qian Xiao, Qiuyu Feng, Martin K Rutter, Gali Albalak, Heming Wang, Raymond Noordam

Faculty, Staff and Student Publications

Aims/hypothesis: Growing evidence suggests that timing may be an important aspect of physical activity that influences cardiometabolic health. However, the current literature is inconclusive regarding the time of day that physical activity offers the greatest metabolic advantages. We investigated associations between hourly physical activity levels and diabetes mellitus and glycaemic biomarkers in a cross-sectional and nationally representative sample of US adults.

Methods: We studied 7074 adults (mean age 48 years; 52% women) from the National Health and Nutrition Examination Survey (2011-2014). Physical activity was measured by actigraphy. A monitor-independent movement summary (MIMS) unit was used to derive the total activity …


Comparison Of Risk Assessment Tools' Prediction Of Outcomes For Penetrating Trauma, Jeffrey Santos, Catherine M Kuza, Xi Luo, Tiffany Moon, Thomas Shoultz, Anne Feeler, Roman Dudaryk, Jose Navas, Georgia Vasileiou, Kazuhide Matsushima, Matthew Forestiere, Tiffany Lian, Areg Grigorian, Joni Ricks-Oddie, Jeffry Nahmias May 2025

Comparison Of Risk Assessment Tools' Prediction Of Outcomes For Penetrating Trauma, Jeffrey Santos, Catherine M Kuza, Xi Luo, Tiffany Moon, Thomas Shoultz, Anne Feeler, Roman Dudaryk, Jose Navas, Georgia Vasileiou, Kazuhide Matsushima, Matthew Forestiere, Tiffany Lian, Areg Grigorian, Joni Ricks-Oddie, Jeffry Nahmias

Faculty, Staff and Student Publications

Introduction: The Trauma and Injury Severity Score (TRISS) uses anatomic and/or physiologic variables to predict mortality; however, Injury Severity Score is less reliable for penetrating trauma. National Surgical Quality Improvement Program Surgical Risk Calculator (NSQIP-SRC) and American Society of Anesthesiologists Physical Status (ASA-PS) include functional status and comorbidities. This study evaluates the accuracy of these tools in predicting mortality, length of stay (LOS), and complications for operative penetrating trauma.

Methods: Adult penetrating trauma patients (≥18 y) who underwent surgery within 24 h of admission were included in this subgroup analysis of a prospective observational study at four trauma centers. The …


The Contribution Of De Novo Coding Mutations To Meningomyelocele, Yoo-Jin Jiny Ha, Ashna Nisal, Isaac Tang, Chanjae Lee, Ishani Jhamb, Cassidy Wallace, Robyn Howarth, Sarah Schroeder, Keng Ioi Vong, Naomi Meave, Fiza Jiwani, Chelsea Barrows, Sangmoon Lee, Nan Jiang, Arzoo Patel, Krisha Bagga, Niyati Banka, Liana Friedman, Francisco A Blanco, Seyoung Yu, Soeun Rhee, Hui Su Jeong, Isaac Plutzer, Michael B Major, Béatrice Benoit, Christian Poüs, Caleb Heffner, Zoha Kibar, Gyang Markus Bot, Hope Northrup, Kit Sing Au, Madison Strain, Allison E Ashley-Koch, Richard H Finnell, Joan T Le, Hal S Meltzer, Camila Araujo, Helio R Machado, Roger E Stevenson, Anna Yurrita, Sara Mumtaz, Awais Ahmed, Mulazim Hussain Khara, Osvaldo M Mutchinick, José Ramón Medina-Bereciartu, Friedhelm Hildebrandt, Gia Melikishvili, Ahmed I Marwan, Valeria Capra, Mahmoud M Noureldeen, Aida M S Salem, Mahmoud Y Issa, Maha S Zaki, Libin Xu, Ji Eun Lee, Donghyuk Shin, Anna Alkelai, Alan R Shuldiner, Stephen F Kingsmore, Stephen A Murray, Heon Yung Gee, W Todd Miller, Kimberley F Tolias, John B Wallingford, Spina Bifida Sequencing Consortium, Sangwoo Kim, Joseph G Gleeson May 2025

The Contribution Of De Novo Coding Mutations To Meningomyelocele, Yoo-Jin Jiny Ha, Ashna Nisal, Isaac Tang, Chanjae Lee, Ishani Jhamb, Cassidy Wallace, Robyn Howarth, Sarah Schroeder, Keng Ioi Vong, Naomi Meave, Fiza Jiwani, Chelsea Barrows, Sangmoon Lee, Nan Jiang, Arzoo Patel, Krisha Bagga, Niyati Banka, Liana Friedman, Francisco A Blanco, Seyoung Yu, Soeun Rhee, Hui Su Jeong, Isaac Plutzer, Michael B Major, Béatrice Benoit, Christian Poüs, Caleb Heffner, Zoha Kibar, Gyang Markus Bot, Hope Northrup, Kit Sing Au, Madison Strain, Allison E Ashley-Koch, Richard H Finnell, Joan T Le, Hal S Meltzer, Camila Araujo, Helio R Machado, Roger E Stevenson, Anna Yurrita, Sara Mumtaz, Awais Ahmed, Mulazim Hussain Khara, Osvaldo M Mutchinick, José Ramón Medina-Bereciartu, Friedhelm Hildebrandt, Gia Melikishvili, Ahmed I Marwan, Valeria Capra, Mahmoud M Noureldeen, Aida M S Salem, Mahmoud Y Issa, Maha S Zaki, Libin Xu, Ji Eun Lee, Donghyuk Shin, Anna Alkelai, Alan R Shuldiner, Stephen F Kingsmore, Stephen A Murray, Heon Yung Gee, W Todd Miller, Kimberley F Tolias, John B Wallingford, Spina Bifida Sequencing Consortium, Sangwoo Kim, Joseph G Gleeson

Faculty, Staff and Students Publications

Meningomyelocele (also known as spina bifida) is considered to be a genetically complex disease resulting from a failure of the neural tube to close. Individuals with meningomyelocele display neuromotor disability and frequent hydrocephalus, requiring ventricular shunting. A few genes have been proposed to contribute to disease susceptibility, but beyond that it remains unexplained1. We postulated that de novo mutations under purifying selection contribute to the risk of developing meningomyelocele2. Here we recruited a cohort of 851 meningomyelocele trios who required shunting at birth and 732 control trios, and found that de novo likely gene disruption or …


T2-Weighted Imaging Of Rectal Cancer Using A 3d Fast Spin Echo Sequence With And Without Deep Learning Reconstruction: A Reader Study, Dan Nguyen, Sarah Palmquist, Ken-Pin Hwang, Jingfei Ma, Usama Salem, Jia Sun, Xinzeng Wang, Jong Bum Son, Randy Ernst, Peng Wei, Harmeet Kaur, Nir Stanietzky May 2025

T2-Weighted Imaging Of Rectal Cancer Using A 3d Fast Spin Echo Sequence With And Without Deep Learning Reconstruction: A Reader Study, Dan Nguyen, Sarah Palmquist, Ken-Pin Hwang, Jingfei Ma, Usama Salem, Jia Sun, Xinzeng Wang, Jong Bum Son, Randy Ernst, Peng Wei, Harmeet Kaur, Nir Stanietzky

Faculty, Staff and Student Publications

Purpose: To compare image quality and clinical utility of a T2-weighted (T2W) 3-dimensional (3D) fast spin echo (FSE) sequence using deep learning reconstruction (DLR) versus conventional reconstruction for rectal magnetic resonance imaging (MRI).

Methods: The study included 50 patients with rectal cancer who underwent rectal MRI consecutively between July 7, 2020 and January 20, 2021 using a T2W 3D FSE sequence with DLR and conventional reconstruction. Three radiologists reviewed the two sets of images, scoring overall SNR, motion artifacts, and overall image quality on a 3-point scale and indicating clinical preference for DLR or conventional reconstruction based on those three …


Dose Prediction Via Deep Learning To Enhance Treatment Planning Of Lung Radiotherapy Including Simultaneous Integrated Boost Techniques, Wenhua Cao, Mary Gronberg, Stephen Bilton, Hana Baroudi, Skylar Gay, Christopher Peeler, Zhongxing Liao, Thomas J Whitaker, Karen Hoffman, Laurence E Court May 2025

Dose Prediction Via Deep Learning To Enhance Treatment Planning Of Lung Radiotherapy Including Simultaneous Integrated Boost Techniques, Wenhua Cao, Mary Gronberg, Stephen Bilton, Hana Baroudi, Skylar Gay, Christopher Peeler, Zhongxing Liao, Thomas J Whitaker, Karen Hoffman, Laurence E Court

Faculty, Staff and Student Publications

Background: Recent studies have shown deep learning techniques are able to predict three-dimensional (3D) dose distributions of radiotherapy treatment plans. However, their use in dose prediction for treatments with varied prescription doses including simultaneous integrated boost (SIB), that is, using multiple prescription doses within the same plan, and benefit in improving plan quality should be validated.

Purpose: To investigate the feasibility and potential benefit of using deep learning to predict dose distribution of volumetric modulated arc therapy (VMAT) including SIB techniques and improve treatment planning for patients with lung cancer.

Methods: The dose prediction model was trained with 93 retrospective …


The Small Gtpase Rap1 In Pomc Neurons Regulates Leptin Actions And Glucose Metabolism, Kentaro Kaneko, Weisheng Lu, Yong Xu, Alexei Morozov, Makoto Fukuda May 2025

The Small Gtpase Rap1 In Pomc Neurons Regulates Leptin Actions And Glucose Metabolism, Kentaro Kaneko, Weisheng Lu, Yong Xu, Alexei Morozov, Makoto Fukuda

Faculty, Staff and Students Publications

The hypothalamic leptin-proopiomelanocortin (POMC) pathway is critical for regulating metabolism. POMC neurons in the arcuate nucleus respond to leptin and play a pivotal role in mediating energy and glucose balance. However, during diet-induced obesity (DIO), these neurons often develop resistance to exogenous leptin. Recently, the small GTPase Rap1 has been implicated as an inhibitor of neuronal leptin signaling; however, its specific role within POMC neurons remains unexplored. We generated tamoxifen-inducible, POMC neuron-specific Rap1 knockout mice to selectively delete both Rap1a and Rap1b isoforms in POMC neurons. By analyzing these mice through metabolic phenotyping, immunohistochemistry, and biochemical assays, we show that …


Cdc’S Core Elements To Promote Diagnostic Excellence, Daniel J Morgan, Hardeep Singh, Arjun Srinivasan, Andrea Bradford, L Clifford Mcdonald, Preeta K Kutty May 2025

Cdc’S Core Elements To Promote Diagnostic Excellence, Daniel J Morgan, Hardeep Singh, Arjun Srinivasan, Andrea Bradford, L Clifford Mcdonald, Preeta K Kutty

Faculty, Staff and Students Publications

Nearly a decade after the National Academy of Medicine released the "Improving Diagnosis in Health Care" report, diagnostic errors remain common, often leading to physical, psychological, emotional, and financial harm. Despite a robust body of research on potential solutions and next steps, the translation of these efforts to patient care has been limited. Improvement initiatives are still narrowly focused on selective themes such as diagnostic stewardship, preventing overdiagnosis, and enhancing clinical reasoning without comprehensively addressing vulnerable systems and processes surrounding diagnosis. To close this implementation gap, the US Centers for Disease Control and Prevention (CDC) released the Core Elements of …


Antibiotic Prophylaxis With Urodynamic Studies In Spinal Cord Injury: Assessing Practice Patterns And Outcomes To Guide Future Practice In A Single Center, Du Pham, Bradley Chi, Felicia Skelton, Donna Huang May 2025

Antibiotic Prophylaxis With Urodynamic Studies In Spinal Cord Injury: Assessing Practice Patterns And Outcomes To Guide Future Practice In A Single Center, Du Pham, Bradley Chi, Felicia Skelton, Donna Huang

Faculty, Staff and Students Publications

Context/objective: Despite urinary tract infections (UTIs) being a common problem in patients with spinal cord injuries (SCIs), and a well-known complication of invasive urologic procedures, little consensus exists regarding the standard of care for peri-procedural antibiotic use for SCI patients undergoing urodynamics studies (UDS). Our research seeks to evaluate local antibiotic prophylaxis pattern in SCI patients undergoing UDS, assess incidence of post-procedural UTI, describe local antibiotic resistance trends, and provide antibiotic stewardship considerations to guide future practice.

Design/setting/participants: Retrospective cohort study of SCI patients undergoing UDS from January 2010 to January 2020 at a Veterans Affairs SCI Center. Data on …