Medicine and Health Sciences Commons^™

Order And Timing Of Middle Meningeal Artery Embolization As A Perioperative Adjunct To Surgical Evacuation For Chronic Subdural Hematomas: A Multicenter Study, Georgios S Sioutas, Mohamed M Salem, Okkes Kuybu, Mira Salih, Jane Khalife, Kate Carroll, Edward A Duckworth, Dhrumil Vaishnav, Muhammed Amir Essibayi, Alex Nguyen Hoang, Cordell M Baker, Aldo A Mendez Ruiz, Zachary Abecassis, Walid K Salah, Juan F Ruiz Rodriguez, Iris Charcos, Gustavo M Cortez, Sandra Narayanan, Oz Haim, Omar Tanweer, Ricardo Hanel, Peter Kan, Daniel A Tonetti, Raul G Nogueira, Tudor G Jovin, David J Altschul, Michael J Lang, Visish M Srinivasan, Brian T Jankowitz, Ajith J Thomas, Michael R Levitt, Christopher S Ogilvy, Bradley A Gross, Jan-Karl Burkhardt, Ramesh Grandhi

Faculty, Staff and Students Publications

Background

Chronic subdural hematoma (cSDH) is a common neurosurgical condition, and middle meningeal artery embolization (MMAE) has emerged as a minimally invasive adjunct to surgery, but optimal timing remains unclear.

Purpose

To investigate radiographic and clinical outcomes of patients with cSDH undergoing MMAE as an adjunct to surgical evacuation, focusing on order and timing of MMAE relative to surgery.

Materials and Methods

This multicenter, retrospective study included consecutive patients undergoing MMAE adjunct to surgery for cSDH at 10 U.S. centers from September 2018 to September 2023. Clinical and radiographic characteristics and outcomes were examined in MMAE before or after surgery. …

Disease Activity Criteria Impact Dosing Interval Assignment In Neovascular Age-Related Macular Degeneration Trials, Marco A Zarbin, Christina Y Weng, Nikolas J S London, Adrian Hock Chuan Koh, Roberto Gallego-Pinazo, Varun Chaudhary, Audrey Souverain, Ivaylo Stoilov, Philippe Margaron

Faculty, Staff and Students Publications

No abstract provided.

Fruits Of The Professional Educator Appreciation And Recognition (Pear) Awards: Learning What Students Value In Their Medical Educators, Madeline Tomlinson, Kristiana Nasto, Kevin Gosselin, Ellen M Friedman, Anne Gill, Stacey Rose

Faculty, Staff and Students Publications

Purpose: The Professional Educator Appreciation and Recognition (PEAR) awards program was created by students at Baylor College of Medicine (BCM) in 2020 to recognize exemplary educators. We reviewed our 3-year experience of this initiative to identify characteristics of award-winning educators, and to assess the award's impact.

Materials and methods: We reviewed the title, department, and clinical affiliation of award winners. Using ChatGPT, we qualitatively analyzed de-identified nomination narratives to identify themes of educator characteristics most valued by students. Following refinement by the study team, each award was then assigned one or more themes. Unsolicited thank-you emails were reviewed to consider …

International Multispecialty Expert Physician Preoperative Identification Of Extranodal Extension In Patients With Oropharyngeal Cancer Using Computed Tomography: Prospective Blinded Human Inter-Observer Performance Evaluation, Onur Sahin, Serageldin Kamel, Kareem A Wahid, Cem Dede, Nicolette Taku, Renjie He, Mohamed A Naser, Christina S Sharafi, Antti Mäkitie, Benjamin H Kann, Kimmo Kaski, Jaakko Sahlsten, Joel Jaskari, Moran Amit, Gregory M Chronowski, Eduardo M Diaz, Adam S Garden, Ryan P Goepfert, Jeffrey P Guenette, G Brandon Gunn, Jussi Hirvonen, Frank Hoebers, Katherine A Hutcheson, Nandita Guha-Thakurta, Jason Johnson, Diana Kaya, Shekhar D Khanpara, Kristofer Nyman, Stephen Y Lai, Miriam Lango, Kim O Learned, Anna Lee, Carol M Lewis, Anastasios Maniakas, Amy C Moreno, Jeffrey N Myers, Jack Phan, Kristen B Pytynia, David I Rosenthal, Vlad C Sandulache, Dawid Schellingerhout, Shalin J Shah, Andrew G Sikora, Abdallah S R Mohamed, Melissa M Chen, Clifton D Fuller, Multidisciplinary Oropharyngeal Cancer Extra‐Nodal Extension (Opc Ene) Assessment Working Group

Faculty, Staff and Students Publications

Background: Pathologic extranodal extension (pENE) is a crucial prognostic factor in oropharyngeal cancer (OPC), but determining pENE from imaging has high inter-observer variability. The role of clinician specialty in the accuracy of imaging-detected extranodal extension (iENE) remains unclear. The purpose of this study is to assess the influence of clinician specialty on the accuracy of preoperative iENE detection in human papillomavirus (HPV)-positive OPC using computed tomography (CT) imaging.

Methods: This prospective observational study evaluated pretherapy CT images from 24 HPV-positive OPC patients (30 scans, including duplicates). Thirty-four expert observers (11 radiologists, 12 surgeons, 11 radiation oncologists) assessed iENE and reported …

Navigating Nonlinear Pathways: Challenges And Opportunities For Diversity, Equity, And Inclusion Leaders In Academic Emergency Medicine, Melanie F Molina, Annika Bhananker, Beatrice Torres, Dalia Owda, Edgardo Ordoñez, Anita N Chary

Faculty, Staff and Students Publications

OBJECTIVES: Diversity, equity, and inclusion (DEI) leadership roles have grown in academic emergency medicine (EM). We sought to elucidate specific pathways to DEI leadership roles among current DEI leaders in academic EM.

METHODS: From March to May 2023, we conducted semistructured, qualitative interviews with DEI leaders in academic EM across 5 US regions to investigate their pathways to leadership. Participants were recruited via email using Accreditation Council for Graduate Medical Education-accredited EM residency websites and the Academy for Diversity and Inclusion in EM. After recording and transcribing the interviews, we used an inductive approach to identify major themes.

RESULTS: Of …

Functional Connectomics Spanning Multiple Areas Of Mouse Visual Cortex, The Microns Consortium

Faculty, Staff and Students Publications

Understanding the brain requires understanding neurons' functional responses to the circuit architecture shaping them. Here we introduce the MICrONS functional connectomics dataset with dense calcium imaging of around 75,000 neurons in primary visual cortex (VISp) and higher visual areas (VISrl, VISal and VISlm) in an awake mouse that is viewing natural and synthetic stimuli. These data are co-registered with an electron microscopy reconstruction containing more than 200,000 cells and 0.5 billion synapses. Proofreading of a subset of neurons yielded reconstructions that include complete dendritic trees as well the local and inter-areal axonal projections that map up to thousands of cell-to-cell …

A Multipronged Effort To Incorporate Professionalism Into Campuswide Programming Through A Center For Professionalism, Kyler M Godwin, Asma Ali, Larry Laufman, Ellen M Friedman

Faculty, Staff and Students Publications

Background Professionalism, a core competency for graduate medical education accreditation, has a clear educational mandate. However, the pathway to successful incorporation of professionalism within organizational culture has not been established. Integration of professionalism within the learning environment requires intentional design and formal education. Objective To describe the integration of professionalism in the learning environment through formal education and programming and report feasibility and acceptability data.

Methods The Center for Professionalism (Center) was developed in 2013 to align with the learning and clinical environments of our academic medical center. Primary drivers of a culture of professionalism were identified through input from …

An Examination Of Ambulatory Care Code Specificity Utilization In Icd-10-Cm Compared To Icd-9-Cm: Implications For Icd-11 Implementation, Susan H Fenton, Cassandra Ciminello, Vickie M Mays, Mary H Stanfill, Valerie Watzlaf

Faculty, Staff and Student Publications

Objective: The ICD-10-CM classification system contains more specificity than its predecessor ICD-9-CM. A stated reason for transitioning to ICD-10-CM was to increase the availability of detailed data. This study aims to determine whether the increased specificity contained in ICD-10-CM is utilized in the ambulatory care setting and inform an evidence-based approach to evaluate ICD-11 content for implementation planning in the United States.

Materials and methods: Diagnosis codes and text descriptions were extracted from a 25% random sample of the IQVIA Ambulatory EMR-US database for 2014 (ICD-9-CM, n = 14 327 155) and 2019 (ICD-10-CM, n = 13 062 900). Code …

Precision Drug Dosing And Disease Risk Prediction: Advanced Deep Learning Artificial Intelligence Approaches For Precision Medicine Using Structured Electronic Health Records Data, Bingyu Mao

Dissertations and Theses (Open Access)

Advancements in precision medicine increasingly rely on data-driven approaches to improve clinical decision-making. This work presents three interconnected studies that leverage deep learning, reinforcement learning, and comparative modeling to address key challenges in precision drug dosing and disease risk prediction. Together, these contributions offer novel computational frameworks that enhance model performance, improve dosing strategies, and guide model selection for clinical predictive tasks.

To improve individualized vancomycin therapeutic drug monitoring (TDM), the first study introduces PKRNN-2CM, a novel deep learning framework that integrates a two-compartment pharmacokinetic (PK) model with recurrent neural networks (RNNs). While one-compartment models are commonly used in clinical …

Computational Methods For Enhancing The Quality And Interoperability Of Biomedical Terminologies, Xubing Hao

Dissertations and Theses (Open Access)

Biomedical ontologies or terminologies not only serve as a part of the metadata standards for describing data in the FAIR Data Principles (Findable, Accessible, Interoperable, Reusable), but also play a vital role in downstream applications such as cohort identification from electronic health records (EHR). However, there are two critical barriers that may lead to ambiguity, complexity, and inaccuracies in such ontology-based downstream applications. The first barrier is the quality of the ontology. Despite efforts by ontology curators to ensure ontology accuracy and comprehensiveness, errors and inconsistencies are unavoidable. The second barrier is the semantic heterogeneity since human experts may use …

Advancing Genetic Association Discovery In Brain Mri Using Unsupervised And Self-Supervised Deep Learning: Exploring Learning Dynamics, Region-Specific Features, And Spatially Resolved Representations, Sheikh Muhammad Saiful Islam

Dissertations and Theses (Open Access)

Deep learning has unlocked significant potential for advancing the discovery of genetic associations in imaging genetics, particularly in brain imaging using T1-weighted Magnetic Resonance Imaging (MRI). Traditional methods for this task often relied on hand-crafted or semi-automated feature extraction, followed by genetic association studies utilizing these features. While effective, these approaches are limited by their lack of data-driven exploration and the generation of features with limited informativeness.

Unsupervised deep learning, in particular, has emerged as a powerful alternative, addressing some of these limitations by enabling automated and data-driven feature discovery. Recent research in this domain has primarily focused on adapting …

Harnessing Knowledge And Data For Clinical Information Extraction In The Era Of Large Language Models, Yan Hu

Dissertations and Theses (Open Access)

The rapid digitization of healthcare records has led to the widespread adoption of Electronic Health Records (EHRs), which contain rich, unstructured clinical notes. These notes hold valuable information for patient care and clinical research, but their complexity and unstructured nature pose significant challenges for effective utilization. Clinical Information Extraction (IE) aims to bridge this gap by transforming unstructured text into structured data, enabling automated analysis. Traditional Natural Language Processing (NLP) techniques, such as Named Entity Recognition (NER), have been widely used for clinical IE, but recent advancements in Large Language Models (LLMs) like GPT-3.5, GPT-4, and LLaMA have opened new …

Accelerating Drug Repurposing And Target Discovery Using Deep Learning, Kohong Lin

Dissertations and Theses (Open Access)

Drug discovery is a long-lasting and expensive process. Computational approaches, particularly deep learning techniques, offer the potential to accelerate this process by integrating diverse perspectives from drug discovery theories and capturing intricate patterns within large, multimodal datasets. This dissertation explores deep learning methodologies to accelerate drug repurposing and genetic target discovery. The first aim focuses on integrating multimodal data, including chemical structures, disease genetics, and systems biology, into comprehensive disease knowledge graphs, followed by applying graph neural networks (GNNs) to prioritize repurposable drug candidates. The second aim is to develop a heterogeneous GNN-based approach capable of modelling distinct semantic relationships …

An Interoperability Framework Across Legacy Emr Systems, Sheena Rogers

Translational Projects (Open Access)

The 21st Century Cures Act (H.R.34 – 114th Congress, 2016) specifies that patients and authorized providers must be able to receive copies of their medical records with standard medical history details upon request. While the data archival system, DRIS (Data Retention Interoperability Solution), has comprehensive patient summary reports centralizing over 100 legacy electronic health records (EHR) with broad data elements, it is not 100% compliant with the upcoming 21st Century Cures Act’s interoperability standards. As a result, patients and providers are not receiving copies of their medical records with all of the required medical history and fields in this new …

Strategies To Improve Nurse Documentation Compliance And Confidence In The Delivery Of Preprocedural Education, Danielle A. Burris

Doctor of Nursing Practice Final Project Abstract

Strategies to Improve Nurse Documentation Compliance and Confidence in the Delivery of Preprocedural Education:

Abstract

Introduction:This project aimed to implement tools to improve preprocedural education compliance between nurses and patients in an interventional radiology department. The secondary aim was increasing staff confidence in providing education, reducing the potential for avoidable harm and adverse procedural-related outcomes. The project was implemented within an interventional radiology department of a healthcare system in the Texas Medical Center, Houston, Texas.

Methodology: The project utilized the Model for Improvement and followed the steps of the Plan-Do-Study-Act cycle to implement change. Strategies included checklists, reminder tools, …

Llm-Ie: A Python Package For Biomedical Generative Information Extraction With Large Language Models, Enshuo Hsu, Kirk Roberts

Faculty, Staff and Student Publications

Objectives: Despite the recent adoption of large language models (LLMs) for biomedical information extraction (IE), challenges in prompt engineering and algorithms persist, with no dedicated software available. To address this, we developed LLM-IE: a Python package for building complete IE pipelines.

Materials and methods: The LLM-IE supports named entity recognition, entity attribute extraction, and relation extraction tasks. We benchmarked it on the i2b2 clinical datasets.

Results: The sentence-based prompting algorithm resulted in the best 8-shot performance of over 70% strict F1 for entity extraction and about 60% F1 for entity attribute extraction.

Discussion: We developed a Python package, LLM-IE, …

Improving Medication Adherence For Post-Operative Pediatric Patients With Spanish-Speaking Caregivers Using A Written Medication Action Plan, Carissa Vicente

Doctor of Nursing Practice Final Project Abstract

PURPOSE

This project aims to improve written discharge education, medication adherence for pediatric patients, and medication education retention for Spanish-speaking caregivers.

BACKGROUND

The project was implemented in a children’s hospital in the Pediatric Post-Anesthesia Care Unit. The discharge process for post-operative pediatric patients lacked appropriate written medication education for Spanish-speaking families, placing patients at an increased risk for improper medication use.

METHODOLOGY

A quality improvement method utilizing Plan-Do-Study-Act (PDSA) cycles was used for implementation, with three cycles completed. A written Spanish-translation medication action plan (MAP) was implemented during discharge for Spanish-speaking caregivers, including adaptions to an electronic health record version …

Frequency Of Variants In Mendelian Alzheimer’S Disease Genes Within The Alzheimer’S Disease Sequencing Project, Dongyu Wang, Alexandra Scalici, Yanbing Wang, Honghuang Lin, Achilleas Pitsillides, Nancy Heard-Costa, Carlos Cruchaga, Ellen Ziegemeier, Joshua C Bis, Myriam Fornage, Eric Boerwinkle, Philip L De Jager, Ellen Wijsman, Josée Dupuis, Alan E Renton, Sudha Seshadri, Alison M Goate, Alzheimer's Disease Neuroimaging Initiative (Adni), The Alzheimer's Disease Sequencing Project, Anita L Destefano, Gina M Peloso

Faculty, Staff and Student Publications

Background:

Prior studies examined variants within presenilin-2 (PSEN2), presenilin-1 (PSEN1), and amyloid precursor protein (APP) genes. However, previously-reported clinically-relevant variants and other predicted damaging missense (DM) variants have not been characterized in a newer release of the Alzheimer’s Disease Sequencing Project (ADSP).

Objective:

To characterize previously-reported clinically-relevant variants and DM variants in PSEN2, PSEN1, APP within the participants from the ADSP.

Methods:

We identified rare variants (MAF< 1%) in PSEN2, PSEN1, and APP in 14,641 individuals with whole genome sequencing and 16,849 individuals with whole exome sequencing available (Ntotal = 31,490). We additionally curated …

Integrating Mental Health And Substance Use Treatment Using The Integrated Care Model: Policy Analysis, Victoria Reis

Doctor of Nursing Practice Final Project Abstract

Purpose of Statement

Policy analysis evaluates the integration of mental health services into substance use treatment, particularly for co-occurring disorders. It identifies gaps in existing policies and offers recommendations to enhance access, coordination, and effectiveness of integrated care.

Background

Integrating mental health services is crucial due to the high prevalence of co-occurring disorders. However, the fragmented treatment landscape leads to poor patient outcomes and rising healthcare costs. Policies such as the 21st Century Cures Act and Texas House Bill 4 provide a framework for improvement, but significant gaps hinder effective integrated care.

Methodology

Using the Bardach Policy Analysis Framework, this …

The Prevalence Of Suicide And Suicidal Ideation In Adult Oncology Patients, Mutiat Bamiloshin

Doctor of Nursing Practice Final Project Abstract

Objective

The aim of this quality improvement initiative is to implement the Columbia-Suicide Severity Rating Scale (C-SSRS) to enhance the early detection of suicide risk among adult oncology patients and to facilitate timely referrals for mental health support.

Background

Adult cancer patients experience substantial psychological distress due to the challenges related to their diagnoses and treatments, significantly increasing their suicide risk. The lack of routine suicide screenings in oncology settings impedes the early identification of at-risk patients, necessitating evidence-based approaches.

Methodology

The project involved 50 adult oncology patients and was conducted at a hospital in Texas over eight weeks. Weekly …

Quality-Of-Care Measures For Cardio-Oncology: An Ic-Os And Acc Cardio-Oncology Leadership Council Perspective, Vijay U Rao, Anita Deswal, Daniel Lenihan, Susan Dent, Teresa Lopez-Fernandez, Alexander R Lyon, Ana Barac, Nicolas Palaskas, Ming Hui Chen, Hector R Villarraga, Diego Sadler, Courtney M Campbell, Kerry Skurka, Matt J Wagner, Matthias Totzeck, Kathryn J Ruddy, Paul Heidenreich, Randal Thomas, Daniel Addison, Sarju Ganatra, Richard Cheng, David Reeves, Arjun K Ghosh, Joerg Herrmann

Children’s Nutrition Research Center Staff Publications

This document serves as a perspective on quality assessments in the discipline of cardio-oncology. We aim to define the current landscape, identify needs for quality and outcome improvements, and propose a roadmap for establishing viable metrics to improve patient care. Specifically, this document: 1) addresses the current lack of measurable high-quality metrics in cardio-oncology and their implications; 2) highlights needs and topic-specific barriers; 3) illustrates the process and application of a measurable quality metric; and 4) provides a framework to demonstrate measurable value for the growing population of patients with cancer and cardiovascular diseases.

Demographic Clinical Trial Diversity Assessment Methods: Use Of Real-World Data, Hua Chen, Nnadozie Emechebe, Sudeep Karve, Leon Raskin, Jailene Leal, Ning Cheng, Wendy Sebby, Kim Ribeiro, Samuel Crawford

Children’s Nutrition Research Center Staff Publications

Diversity in clinical trials is defined by the inclusion of clinical trial participants from various demographic groups that are representative of the broader population impacted by a disease state. Diversity in clinical trials is critical in identifying potential differences in safety and efficacy of treatments across races, ethnicities, ages, sexes, or other variables. In the United States, clinical trial diversity is often benchmarked against US Census data, which may limit the representativeness of patient demographics in clinical trials. Disease-specific, demographic estimates from real-world data (RWD) can facilitate benchmarking of clinical trials, support trial enrollment and the development of trial diversity …

Learning Tracheal Intubation With A Hyperangulated Videolaryngoscopy Blade: Sub-Analysis Of A Randomised Controlled Trial, Sascha Ott, Lukas M Müller-Wirtz, Sergio Bustamante, Julian Rössler, Nikolaos J Skubas, Karan Shah, Daniel I Sessler, Alparslan Turan, Kurt Ruetzler

Faculty, Staff and Student Publications

Introduction: The number of tracheal intubation attempts required to reach proficiency in videolaryngoscopy with hyperangulated blades is unknown. Understanding this training requirement might guide training for clinicians who perform laryngoscopy. We therefore performed a planned sub-analysis of a randomised controlled trial comparing tracheal intubation success with videolaryngoscopy vs. direct laryngoscopy to determine the number of tracheal intubations with a hyperangulated videolaryngoscope blade needed to provide an acceptable first-attempt success rate.

Methods: We included clinicians from a randomised controlled trial who were familiar with direct laryngoscopy and Macintosh-blade videolaryngoscopy but inexperienced with hyperangulated videolaryngoscopy. Cumulative sum statistics were used to generate …

"When The Bills Keep On Coming:" The Experiences Of Seafood Processors During The Covid-19 Pandemic, Shannon Guillot-Wright, Laura Porterfield, Brenda Wilson, Lacy Davis

Faculty, Staff and Student Publications

Essential workers were at increased risk during the COVID-19 pandemic, including seafood processors who are often rendered invisible within the public sphere. To examine the health and safety concerns of seafood processors, many who are low income or im/migrant workers on H-2B visas, our team conducted qualitative research with 44 participants. We found that in addition to high occupational health hazards that existed before the pandemic, COVID-19 increased workers' financial risks, which put them in more dangerous health and safety positions, since they needed to work through physical and mental health illness. These financial risks can be seen through the …

Worldwide Policy, Surveillance, And Research On Physical Education And School-Based Physical Activity: The Global Observatory For Physical Education (Gope!) Conceptual Framework And Research Protocol, João Martins, Andrea Ramirez Varela, João Costa, Marcos Onofre, Dean Dudley, Rafael Cristão, Michael Pratt, Pedro C Hallal, Rafael Tassitano

Faculty, Staff and Student Publications

Introduction: The Global Observatory for Physical Education (GoPE!) builds on the Global Observatory for Physical Activity (GoPA!) to address gaps in surveillance, policy, and research on physical education (PE) and activity (PA). GoPE! is a worldwide surveillance system of quality PE and school-based PA that informs policy and interventions and allows comparative analysis so that each country and region can check their status and progress. This paper presents GoPE!'s conceptual framework and describes the research protocol as a cross-continental and evidence-based surveillance system.

Methods: Based on GoPA!'s framework and informed by the European Physical Education Observatory, as well as framed …

Genome-Wide Association Study Meta-Analysis Provides Insights Into The Etiology Of Heart Failure And Its Subtypes, Albert Henry, Xiaodong Mo, Chris Finan, Mark D Chaffin, Doug Speed, Hanane Issa, Spiros Denaxas, James S Ware, Sean L Zheng, Anders Malarstig, Jasmine Gratton, Isabelle Bond, Carolina Roselli, David Miller, Sandesh Chopade, A Floriaan Schmidt, Erik Abner, Lance Adams, Charlotte Andersson, Krishna G Aragam, Johan Ärnlöv, Geraldine Asselin, Anna Axelsson Raja, Joshua D Backman, Traci M Bartz, Kiran J Biddinger, Mary L Biggs, Heather L Bloom, Eric Boersma, Jeffrey Brandimarto, Michael R Brown, Søren Brunak, Mie Topholm Bruun, Leonard Buckbinder, Henning Bundgaard, David J Carey, Daniel I Chasman, Xing Chen, James P Cook, Tomasz Czuba, Simon De Denus, Abbas Dehghan, Graciela E Delgado, Alexander S Doney, Marcus Dörr, Joseph Dowsett, Samuel C Dudley, Gunnar Engström, Christian Erikstrup, Tõnu Esko, Eric H Farber-Eger, Stephan B Felix, Sarah Finer, Ian Ford, Mohsen Ghanbari, Sahar Ghasemi, Jonas Ghouse, Vilmantas Giedraitis, Franco Giulianini, John S Gottdiener, Stefan Gross, Daníel F Guðbjartsson, Hongsheng Gui, Rebecca Gutmann, Sara Hägg, Christopher M Haggerty, Åsa K Hedman, Anna Helgadottir, Harry Hemingway, Hans Hillege, Craig L Hyde, Bitten Aagaard Jensen, J Wouter Jukema, Isabella Kardys, Ravi Karra, Maryam Kavousi, Jorge R Kizer, Marcus E Kleber, Lars Køber, Andrea Koekemoer, Karoline Kuchenbaecker, Yi-Pin Lai, David Lanfear, Claudia Langenberg, Honghuang Lin, Lars Lind, Cecilia M Lindgren, Peter P Liu, Barry London, Brandon D Lowery, Jian'an Luan, Steven A Lubitz, Patrik Magnusson, Kenneth B Margulies, Nicholas A Marston, Hilary Martin, Winfried März, Olle Melander, Ify R Mordi, Michael P Morley, Andrew P Morris, Alanna C Morrison, Lori Morton, Michael W Nagle, Christopher P Nelson, Alexander Niessner, Teemu Niiranen, Raymond Noordam, Christoph Nowak, Michelle L O'Donoghue, Sisse Rye Ostrowski, Anjali T Owens, Colin N A Palmer, Guillaume Paré, Ole Birger Pedersen, Markus Perola, Marie Pigeyre, Bruce M Psaty, Kenneth M Rice, Paul M Ridker, Simon P R Romaine, Jerome I Rotter, Christian T Ruff, Marc S Sabatine, Neneh Sallah, Veikko Salomaa, Naveed Sattar, Alaa A Shalaby, Akshay Shekhar, Diane T Smelser, Nicholas L Smith, Erik Sørensen, Sundararajan Srinivasan, Kari Stefansson, Garðar Sveinbjörnsson, Per Svensson, Mari-Liis Tammesoo, Jean-Claude Tardif, Maris Teder-Laving, Alexander Teumer, Guðmundur Thorgeirsson, Unnur Thorsteinsdottir, Christian Torp-Pedersen, Vinicius Tragante, Stella Trompet, Andre G Uitterlinden, Henrik Ullum, Pim Van Der Harst, David Van Heel, Jessica Van Setten, Marion Van Vugt, Abirami Veluchamy, Monique Verschuuren, Niek Verweij, Christoffer Rasmus Vissing, Uwe Völker, Adriaan A Voors, Lars Wallentin, Yunzhang Wang, Peter E Weeke, Kerri L Wiggins, L Keoki Williams, Yifan Yang, Bing Yu, Faiez Zannad, Chaoqun Zheng, Folkert W Asselbergs, Thomas P Cappola, Marie-Pierre Dubé, Michael E Dunn, Chim C Lang, Nilesh J Samani, Svati Shah, Ramachandran S Vasan, J Gustav Smith, Hilma Holm, Sonia Shah, Patrick T Ellinor, Aroon D Hingorani, Quinn Wells, R Thomas Lumbers

Faculty, Staff and Student Publications

Heart failure (HF) is a major contributor to global morbidity and mortality. While distinct clinical subtypes, defined by etiology and left ventricular ejection fraction, are well recognized, their genetic determinants remain inadequately understood. In this study, we report a genome-wide association study of HF and its subtypes in a sample of 1.9 million individuals. A total of 153,174 individuals had HF, of whom 44,012 had a nonischemic etiology (ni-HF). A subset of patients with ni-HF were stratified based on left ventricular systolic function, where data were available, identifying 5,406 individuals with reduced ejection fraction and 3,841 with preserved ejection fraction. …

Environmental Health Disparities In Pediatric Cancer: A Report From The Fourth Symposium On Childhood Cancer Health Disparities, Thanh T Hoang, Zdenko Herceg, Don W Coulter, Adam De Smith, Manish Arora, William E Funk, David Haynes, Stephen H Linder, Leticia M Nogueira, Amy E Hughes, Lindsay A Williams, Jeremy M Schraw, Michael E Scheurer, Philip J Lupo

Faculty, Staff and Student Publications

The 4th Symposium on Childhood Cancer Health Disparities was held at Texas Children's Hospital in Houston, Texas, on September 26, 2023. The symposium registered 94 attendees from different backgrounds (e.g. clinicians, epidemiologists, exposure assessment scientists, geospatial experts) with an interest in environmental health disparities of pediatric cancer susceptibility and treatment outcomes. The focus of the symposium was to provide an overview of the role of environmental risk factors in studies of pediatric cancer, introduce novel exposure assessment tools that can be applied to the field, and highlight opportunities to study the impact of environmental health disparities in pediatric cancer susceptibility …

An Application Of Minimization For Ensuring Balanced Study Arms In A Group-Randomized Covid-19 Educational Intervention Trial, Xu Zhang, Mohammad H Rahbar, Amirali Tahanan, Cici Bauer, Marcia C De Oliveira Otto, Alanna C Morrison, Belinda Reininger, Maria E Fernandez

Faculty, Staff and Student Publications

BACKGROUND: Our institution carried out a multi-center, group-randomized controlled trial to evaluate the effectiveness of two community-based interventions on promoting the uptake of COVID-19 testing and vaccination in three regions with high levels of health disparities in Texas. We selected Census Block Groups (CBGs) with high disparity for randomization. In each study region, selected CBGs were randomized into two intervention groups and one control group. An important goal was to ensure balanced distributions of two continuous covariates, the disparity index and population size, across study arms. In this paper, we describe a novel minimization method used to ensure balanced study …

Rhythm Is Essential: Unraveling The Relation Between The Circadian Clock And Cancer, Olajumoke Ogunlusi, Abantika Ghosh, Mrinmoy Sarkar, Kayla Carter, Harshini Davuluri, Mahul Chakraborty, Kristin Eckel-Mahan, Alex Keene, Jerome S Menet, Deborah Bell-Pedersen, Tapasree Roy Sarkar

The Brown Foundation: Institute of Molecular Medicine

Physiological processes such as the sleep-wake cycle, metabolism, hormone secretion, neurotransmitter release, sensory capabilities, and a variety of behaviors, including sleep, are controlled by a circadian rhythm adapted to 24-hour day-night periodicity. Disruption of circadian rhythm may lead to the risks of numerous diseases, including cancers. Several epidemiological and clinical data reveal a connection between the disruption of circadian rhythms and cancer. On the contrary, oncogenic processes may suppress the homeostatic balance imposed by the circadian clock. The integration of circadian biology into cancer research offers new options for making cancer treatment more effective, and the pharmacological modulation of core …

Epigenome-Wide Association Study Of Incident Type 2 Diabetes In Black And White Participants From The Atherosclerosis Risk In Communities Study, Sowmya Venkataraghavan, James S Pankow, Eric Boerwinkle, Myriam Fornage, Elizabeth Selvin, Debashree Ray

The Brown Foundation: Institute of Molecular Medicine

Aims/hypothesis: DNA methylation studies of incident type 2 diabetes in US populations are limited and to our knowledge none include individuals of African descent. We aimed to fill this gap by identifying methylation sites (CpG sites) and regions likely influencing the development of type 2 diabetes using data from Black and White individuals from the USA.

Methods: We prospectively followed 2091 Black and 1029 White individuals without type 2 diabetes from the Atherosclerosis Risk in Communities study over a median follow-up period of 17 years, and performed an epigenome-wide association analysis of blood-based methylation levels with incident type 2 diabetes …