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Articles 4771 - 4800 of 25712
Full-Text Articles in Medicine and Health Sciences
Genomic Characterization Of High-Grade Serous Ovarian Carcinoma Reveals Distinct Somatic Features In Black Individuals, Katherine A Lawson-Michod, Jeffrey R Marks, Lindsay J Collin, David A Nix, Natalie R Davidson, Chad D Huff, Yao Yu, Aaron Atkinson, Courtney E Johnson, Lucas A Salas, Lauren C Peres, Casey S Greene, Joellen M Schildkraut, Jennifer A Doherty
Genomic Characterization Of High-Grade Serous Ovarian Carcinoma Reveals Distinct Somatic Features In Black Individuals, Katherine A Lawson-Michod, Jeffrey R Marks, Lindsay J Collin, David A Nix, Natalie R Davidson, Chad D Huff, Yao Yu, Aaron Atkinson, Courtney E Johnson, Lucas A Salas, Lauren C Peres, Casey S Greene, Joellen M Schildkraut, Jennifer A Doherty
Faculty, Staff and Student Publications
Black individuals experience worse survival after a diagnosis of high-grade serous ovarian carcinoma (HGSC) than White individuals and are underrepresented in ovarian cancer research. To date, the understanding of the molecular and genomic heterogeneity of HGSC is based primarily on the evaluation of tumors from White individuals. In the present study, we performed whole-exome sequencing on HGSC samples from 211 Black patients to identify significantly mutated genes and characterize mutational signatures, assessing their distributions by gene expression subtypes. The occurrence and frequency of somatic mutations and signatures by self-reported race were compared with historic data from The Cancer Genome Atlas …
Artificial Intelligence-Based Virtual Staining Platform For Identifying Tumor-Associated Macrophages From Hematoxylin And Eosin-Stained Images, Arpit Aggarwal, Mayukhmala Jana, Amritpal Singh, Tanmoy Dam, Himanshu Maurya, Tilak Pathak, Sandra Orsulic, Kailin Yang, Deborah Chute, Justin A Bishop, Farhoud Faraji, Wade M Thorstad, Shlomo Koyfman, Scott Steward, Qiuying Shi, Vlad Sandulache, Nabil F Saba, James S Lewis, Germán Corredor, Anant Madabhushi
Artificial Intelligence-Based Virtual Staining Platform For Identifying Tumor-Associated Macrophages From Hematoxylin And Eosin-Stained Images, Arpit Aggarwal, Mayukhmala Jana, Amritpal Singh, Tanmoy Dam, Himanshu Maurya, Tilak Pathak, Sandra Orsulic, Kailin Yang, Deborah Chute, Justin A Bishop, Farhoud Faraji, Wade M Thorstad, Shlomo Koyfman, Scott Steward, Qiuying Shi, Vlad Sandulache, Nabil F Saba, James S Lewis, Germán Corredor, Anant Madabhushi
Faculty, Staff and Students Publications
Background: Virtual staining is an artificial intelligence-based approach that transforms pathology images between stain types, such as hematoxylin and eosin (H&E) to immunohistochemistry (IHC), providing a tissue-preserving and efficient alternative to traditional IHC staining. However, existing methods for translating H&E to virtual IHC often fail to generate images of sufficient quality for accurately delineating cell nuclei and IHC+ regions. To address these limitations, we introduce VISTA, an artificial intelligence-based virtual staining platform designed to translate H&E into virtual IHC.
Methods: We applied VISTA to identify M2-subtype tumor-associated macrophages (M2-TAMs) in H&E images from 968 patients with HPV+ oropharyngeal squamous cell …
Reexploring The Stress Trial: Subgroup Postoperative Outcomes Following Methylprednisolone For Infant Heart Surgery, Sudeep D Sunthankar, Kevin D Hill, Jeffrey P Jacobs, H Scott Baldwin, Marshall L Jacobs, Jennifer S Li, Eric M Graham, Ashraf M Resheidat, Venugopal Amula, Mark S Bleiweis, Eric L Wald, Pirooz Eghtesady, John P Scott, Brett R Anderson, Michael F Swartz, Alexis Benscoter, William Ravekes, Prince J Kannankeril
Reexploring The Stress Trial: Subgroup Postoperative Outcomes Following Methylprednisolone For Infant Heart Surgery, Sudeep D Sunthankar, Kevin D Hill, Jeffrey P Jacobs, H Scott Baldwin, Marshall L Jacobs, Jennifer S Li, Eric M Graham, Ashraf M Resheidat, Venugopal Amula, Mark S Bleiweis, Eric L Wald, Pirooz Eghtesady, John P Scott, Brett R Anderson, Michael F Swartz, Alexis Benscoter, William Ravekes, Prince J Kannankeril
Faculty, Staff and Students Publications
Objective Assess the association between intraoperative methylprednisolone and specific postoperative outcomes among subgroups undergoing infant heart surgery.
Design: Subpopulation analyses of The Steroids to Reduce Systemic Inflammation after Infant Heart Surgery trial, a double-blind randomized placebo-controlled trial.
Setting: 24 congenital heart centers.
Patients: Infants (< 1 year old) undergoing heart surgery with cardiopulmonary bypass. Patients stratified by Society of Thoracic Surgeons-European Association for Cardio-Thoracic Surgery Congenital Heart Surgery (STAT) Mortality Category, age, gestational age, and presence of chromosomal or syndromic diagnosis (CSD).
Interventions: Methylprednisolone (30 mg/kg) versus placebo administered into cardiopulmonary bypass pump-priming fluid.
Measurements and main results: Outcomes included death, heart transplantation, mechanical circulatory support, reinterventions, and hospital length of stay. Ranked composite outcome (death, transplant, or one of 13 major complications) was compared between placebo and methylprednisolone for each subgroup using the win ratio. Methylprednisolone …
The Association Of Discrimination, Inflammation, And Coping Style On Self-Rated Health Among South Asian Individuals In The Masala Study, Raji Pillai, Sahiti Myneni, Constance M Johnson, Nilay S Shah, Alka M Kanaya, Jennifer E S Beauchamp
The Association Of Discrimination, Inflammation, And Coping Style On Self-Rated Health Among South Asian Individuals In The Masala Study, Raji Pillai, Sahiti Myneni, Constance M Johnson, Nilay S Shah, Alka M Kanaya, Jennifer E S Beauchamp
Faculty, Staff and Student Publications
Objectives: South Asian individuals (SAs) may have heightened levels of inflammatory markers, such as C reactive protein (CRP), Tumor Necrosis Factor-α (TNF-α), leptin, and resistin, and decreased levels of anti-inflammatory adiponectin, contributing to higher cardiovascular disease (CVD) incidence. Social determinants of health, like discrimination, are also associated with risks for CVD in SAs. This study examined the associations between discrimination and inflammation and whether coping styles moderated the association between discrimination and self-rated health (SRH) among SAs in the United States.
Design: Secondary analysis of data obtained from 1164 SAs (mean age = 57 years, SD = 9.4, 48% women) …
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 …
Implementation Of Nurse-Driven Oral Care For Inpatient Oncology Patients Receiving Chemotherapy To Reduce Mucosal Barrier Injury Associated Bloodstream Infections, Ariana Av Allen
Doctor of Nursing Practice Final Project Abstract
PURPOSE
The purpose of this project was to reduce unit CLABSI rates by targeting mucosal barrier injury associated bloodstream infections through implementation of nurse-driven diligent oral care for all inpatient oncology patients receiving chemotherapy.
BACKGROUND
The project was implemented on a 23-bed inpatient oncology unit in a county, safety-net hospital in north Texas.
METHODOLOGY
The project utilized the PDSA framework for implementing nurse-driven oral care for all inpatient oncology patients receiving chemotherapy. Staff and patients were educated on the ideal frequency and methods of performing oral care during the project. Patients were provided unit-supplied oral hygiene items on admission. Nursing …
Exploring Sexual Consent Capacity And Sexual Expression In Older Adults Living With Dementia, Renee J Flores, Carlos A Reyes-Ortiz
Exploring Sexual Consent Capacity And Sexual Expression In Older Adults Living With Dementia, Renee J Flores, Carlos A Reyes-Ortiz
Faculty and Staff Publications
No abstract provided.
Kinasefusiondb: An Integrative Knowledge Of Kinase Fusion Proteins In Multi-Scales, Himansu Kumar, Zikang Chen, Abayomi Adegunlehin, Loren Trowbridge, Leonardo Aguilar, Pora Kim
Kinasefusiondb: An Integrative Knowledge Of Kinase Fusion Proteins In Multi-Scales, Himansu Kumar, Zikang Chen, Abayomi Adegunlehin, Loren Trowbridge, Leonardo Aguilar, Pora Kim
Faculty, Staff and Student Publications
Kinase fusion genes were the most targeted fusion gene group among multiple major cellular gene groups. Kinase inhibitors disrupt aberrant signaling cascades and inhibit tumor progression, yet the specific mechanisms of action of the U.S. Food and Drug Administration (FDA)-approved inhibitors in the context of kinase fusion oncoproteins remain largely unknown. This gap limits our ability to develop personalized therapies and next-generation kinase inhibitors. To address this, we developed a novel in silico pipeline for predicting 3D structures of kinase fusion proteins and performing structure-based virtual screening. This approach enables large-scale structural annotation and drug screening across pan-cancer kinase fusions. …
Cafe: Improved Federated Data Imputation By Leveraging Missing Data Heterogeneity, Sitao Min, Hafiz Asif, Xinyue Wang, Jaideep Vaidya
Cafe: Improved Federated Data Imputation By Leveraging Missing Data Heterogeneity, Sitao Min, Hafiz Asif, Xinyue Wang, Jaideep Vaidya
Faculty, Staff and Student Publications
Federated learning (FL), a decentralized machine learning approach, offers great performance while alleviating autonomy and confidentiality concerns. Despite FL's popularity, how to deal with missing values in a federated manner is not well understood. In this work, we initiate a study of federated imputation of missing values, particularly in complex scenarios, where missing data heterogeneity exists and the state-of-the-art (SOTA) approaches for federated imputation suffer from significant loss in imputation quality. We propose Cafe, a personalized FL approach for missing data imputation. Cafe is inspired from the observation that heterogeneity can induce differences in observable and missing data distribution across …
Demographics And Clinical Features Associated With Abnormal Small Bowel Motility In Systemic Sclerosis, Jenice X Cheah, Jamie Perin, Michael Hughes, Christopher A Mecoli, Julie J Paik, Laura K Hummers, Ami A Shah, Zsuzsanna H Mcmahan
Demographics And Clinical Features Associated With Abnormal Small Bowel Motility In Systemic Sclerosis, Jenice X Cheah, Jamie Perin, Michael Hughes, Christopher A Mecoli, Julie J Paik, Laura K Hummers, Ami A Shah, Zsuzsanna H Mcmahan
Faculty, Staff and Student Publications
Objective: The small bowel is affected in up to 50% of systemic sclerosis (SSc) patients, and some patients experience severe complications. Our aim was to use specific statistical methods to compare demographic and clinical features of SSc patients with and without abnormal small bowel to better characterize patients at risk for this complication.
Methods: SSc patients with gastrointestinal symptoms were prospectively enrolled and underwent a scintigraphy-based whole gut transit (WGT) study. A cross-sectional analysis was performed comparing clinical features between patients with and without abnormal small bowel transit by WGT. Univariate logistic regression models and multivariable models were used to …
Improving The Patient Care Experience In Residential Eating Disorder Treatment: A Quality Improvement Project, Paige H. Nguyen
Improving The Patient Care Experience In Residential Eating Disorder Treatment: A Quality Improvement Project, Paige H. Nguyen
Doctor of Nursing Practice Final Project Abstract
Purpose
The purpose of this project was to implement structured biweekly patient check-ins at a residential treatment facility for eating disorders. This project was intended to increase the patient care satisfaction scores on patient discharge surveys from under 80% to over 90%.
Background
The project was implemented at a 12-bed residential treatment facility for adolescents and adults diagnosed with eating disorders located in Cypress, Texas.
Methodology
The Baird 2007 concept of scripting during rounds was utilized as well as the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAPS) patient care experience survey questions when creating the script used during …
Qi Charter: A Risk Assessment Protocol To Improve The Management Of Aggression And Violence In A Psychiatric Setting, Juliette N. Bateki
Qi Charter: A Risk Assessment Protocol To Improve The Management Of Aggression And Violence In A Psychiatric Setting, Juliette N. Bateki
Doctor of Nursing Practice Final Project Abstract
Background: Patient care and staff safety are considered when determining aggressiveness and violence in psychiatric settings. However, structured violence risk assessment tools like the Broset Violence Checklist (BVC) are difficult to integrate into clinical practice when utilizing the prediction of violent behavior that allows healthcare professionals to intervene proactively. The BVC has been promising at predicting violence, but implementation needs to be done correctly, with proper training and integration into the routine workflow.
Purpose: This project aims to implement the BVC as a violence and aggression predictive tool within a psychiatric intensive care unit. It aims to increase violence prediction …
Reducing Falls In The Emergency Department By Implementing A Virtual Tele Sitter, Danette Riherd
Reducing Falls In The Emergency Department By Implementing A Virtual Tele Sitter, Danette Riherd
Doctor of Nursing Practice Final Project Abstract
Purpose: This Quality Improvement project focused on evaluating the effectiveness of a portable tele-sitter device in reducing fall rates in the emergency department from February 10, 2025 to May 1, 2025. Background: This project was implemented in a 20-bed emergency department within a hospital system located within the suburbs of a major United States city. Methodology: Baseline data was collected prior to project implementation. Data collected during the implementation period was then collected and compared to baseline data to evaluate whether the intervention effectively reduced falls in the emergency department. Results: Post implementation descriptive statistics indicated a 43% reduction in …
Artificial Intelligence (Ai)-Assisted Cardiotoxicity Management In Lung Cancer Radiotherapy, Xinru Chen
Artificial Intelligence (Ai)-Assisted Cardiotoxicity Management In Lung Cancer Radiotherapy, Xinru Chen
Dissertations and Theses (Open Access)
Lung cancer remains one of the leading causes of cancer-related mortality worldwide, with radiation therapy being a cornerstone of treatment. However, radiation-induced cardiotoxicity has emerged as a significant long-term complication, impacting patient survival and quality of life. There is increasing evidence that post-radiotherapy cardiotoxicity is better indicated by cardiac substructure dose, compared with whole heart dose. Despite this, cardiac substructures are not routinely incorporated into clinical workflows due to the significant time and resource demands associated with manual segmentation. Moreover, the relationship between dose distribution in radiotherapy plans and radiation-induced cardiotoxicity remains incompletely understood. Therefore, the development of an automated …
Fc Gamma Receptors Facilitate Antigenic Modulation Of Lilrb4 And Function As Predictive Biomarkers In Acute Monocytic Leukemia, Joshua Morse
Fc Gamma Receptors Facilitate Antigenic Modulation Of Lilrb4 And Function As Predictive Biomarkers In Acute Monocytic Leukemia, Joshua Morse
Dissertations and Theses (Open Access)
Acute monocytic leukemia (monocytic AML) is a subtype of AML marked by a proliferation of abnormal monoblasts. This subtype represents approximately 10% of AML cases. The prognosis of monocytic AML is poor, with a 5-year survival of ~30%. Most patients are diagnosed at an age when they are unlikely to survive first-line non-targeted cytotoxic chemotherapy as a bridge to hematopoietic stem cell transplant (HSCT). Even patients who achieve remission commonly relapse. This population of patients would greatly benefit from precision-targeted therapies but currently there are none approved for monocytic AML.
Leukocyte immunoglobulin-like receptor B4 (LILRB4) is an immune checkpoint expressed …
Expanding Inducible Epithelial Resistance Against Pneumonia: Novel Virus, Novel Receptor, Michael Longmire
Expanding Inducible Epithelial Resistance Against Pneumonia: Novel Virus, Novel Receptor, Michael Longmire
Dissertations and Theses (Open Access)
Pneumonia is the leading infectious cause of death worldwide and presents a continuing risk among immunocompromised patients. Our work has been focused for many years on the phenomenon of inducible epithelial resistance, where activation of the innate immune response in the airway epithelium is necessary and sufficient to produce a pathogen-killing but self-protective environment to prevent severe disease. Inducible resistance is pathogen-agnostic and has been demonstrated against an array of respiratory infections. We achieve this using a combination of pattern recognition receptor agonists – Pam2CSK4 and ODN M362 being the current formulation – which produce synergistic levels of pathogen reduction …
Cord Blood Treatment For Children With Cerebral Palsy: Individual Participant Data Meta-Analysis, Megan Finch-Edmondson, Madison C B Paton, Annabel Webb, Mahmoud Reza Ashrafi, Remy K Blatch-Williams, Charles S Cox, Kylie Crompton, Alexandra R Griffin, Minyoung Kim, Steven Kosmach, Joanne Kurtzberg, Masoumeh Nouri, Mi Ri Suh, Jessica Sun, Morteza Zarrabi, Iona Novak
Cord Blood Treatment For Children With Cerebral Palsy: Individual Participant Data Meta-Analysis, Megan Finch-Edmondson, Madison C B Paton, Annabel Webb, Mahmoud Reza Ashrafi, Remy K Blatch-Williams, Charles S Cox, Kylie Crompton, Alexandra R Griffin, Minyoung Kim, Steven Kosmach, Joanne Kurtzberg, Masoumeh Nouri, Mi Ri Suh, Jessica Sun, Morteza Zarrabi, Iona Novak
The Brown Foundation: Institute of Molecular Medicine
Context: Umbilical cord blood (UCB) is a novel treatment for cerebral palsy (CP), with trials indicating UCB can improve gross motor function. However, heterogeneity has limited the ability to interpret findings.
Objective: Assess the safety and efficacy of UCB for improving gross motor function in children with CP, including exploring cell dose effect and responder subgroups.
Data sources: Individual participant data from published reports and registered trials identified via systematic searches.
Study selection: Studies administering UCB to individuals with CP collecting Gross Motor Function Measure (GMFM) scores.
Data extraction: A 1-stage individual participant data meta-analysis was conducted in R to …
Ai Model For Predicting Asthma Prognosis In Children, Elham Sagheb, Chung-Il Wi, Katherine S King, Bhavani Singh Agnikula Kshatriya, Euijung Ryu, Hongfang Liu, Miguel A Park, Hee Yun Seol, Shauna M Overgaard, Deepak K Sharma, Young J Juhn, Sunghwan Sohn
Ai Model For Predicting Asthma Prognosis In Children, Elham Sagheb, Chung-Il Wi, Katherine S King, Bhavani Singh Agnikula Kshatriya, Euijung Ryu, Hongfang Liu, Miguel A Park, Hee Yun Seol, Shauna M Overgaard, Deepak K Sharma, Young J Juhn, Sunghwan Sohn
Faculty, Staff and Student Publications
BACKGROUND: Childhood asthma often continues into adulthood, but some children experience remission. Utilizing electronic health records (EHRs) to predict asthma prognosis can aid health care providers and patients in developing effective prioritized care plans.
OBJECTIVE: We aimed to develop artificial intelligence (AI) models using various clinical variables extracted from EHRs to predict childhood asthma prognosis (remission vs no remission) in different age groups.
METHODS: We developed AI models utilizing patients' EHRs during the first 6, 9, or 12 years of their lives to predict their asthma prognosis status at ages 6 to 9, 9 to 12, or 12 to 15 …
Association Of Delayed Asthma Diagnosis With Asthma Exacerbations In Children, Chung-Il Wi, Euijung Ryu, Katherine S King, Jung Hyun Kwon, Joshua T Bublitz, Miguel Park, Sergio E Chiarella, Jason D Greenwood, Thanai Pongdee, Lynnea Myers, Björn Nordlund, Sunghwan Sohn, Elham Sagheb, Bhavani Singh Agnikula Kshatriya, Dave Watson, Hongfang Liu, Beverley J Sheares, Carla M Davis, Wade Schulz, Young J Juhn
Association Of Delayed Asthma Diagnosis With Asthma Exacerbations In Children, Chung-Il Wi, Euijung Ryu, Katherine S King, Jung Hyun Kwon, Joshua T Bublitz, Miguel Park, Sergio E Chiarella, Jason D Greenwood, Thanai Pongdee, Lynnea Myers, Björn Nordlund, Sunghwan Sohn, Elham Sagheb, Bhavani Singh Agnikula Kshatriya, Dave Watson, Hongfang Liu, Beverley J Sheares, Carla M Davis, Wade Schulz, Young J Juhn
Faculty, Staff and Student Publications
Background: There is a significant delay between symptom onset and diagnosis of childhood asthma, but the impact of this delay on asthma outcomes has not been well understood.
Objectives: We sought to study the association of delayed diagnosis of asthma with asthma exacerbations (AEs) in children.
Methods: Using the Mayo Clinic birth cohort, we identified children with a diagnosis of asthma from electronic health records. We defined onset date as the date when subjects first met predetermined asthma criteria ascertained by an electronic health records-based natural language processing algorithm. Delay in diagnosis (DD) was defined as first diagnosis >30 days …
Preclinical Evaluation Of Closed Incisional Negative Pressure Therapy On Post-Surgical Oedema And Lymphatic Activity, John C Rasmussen, Marisa Schmidt, Janelle E Morton, Samantha Mann, Kristine Kieswetter, Eva M Sevick-Muraca
Preclinical Evaluation Of Closed Incisional Negative Pressure Therapy On Post-Surgical Oedema And Lymphatic Activity, John C Rasmussen, Marisa Schmidt, Janelle E Morton, Samantha Mann, Kristine Kieswetter, Eva M Sevick-Muraca
Faculty, Staff and Student Publications
Closed incisional Negative Pressure Therapy (ciNPT) has demonstrated improved post-surgical healing with reduced oedema and hematoma/seroma formation in patients. The underlying mechanism of action is poorly understood, although evidence indicates that lymphatics play a role. The effects of ciNPT on oedema and lymphatic recovery were assessed following bilateral, surgical undermining of swine mammary tissues. One incision was treated with ciNPT, and the control covered with clear dressing. Near-infrared fluorescence imaging was used to visualise lymphatic activity. Oedema and lymph node size were measured using ultrasound. LYVE-1 and podoplanin were quantified with ELISA. Analysis of lymphatic activity revealed a contralateral effect …
The Role Of Ucp2 In Pancreatic Cancer Metabolism And Its Potential As A Radiosensitizer, Emily Rieff
The Role Of Ucp2 In Pancreatic Cancer Metabolism And Its Potential As A Radiosensitizer, Emily Rieff
Dissertations and Theses (Open Access)
Uncoupling protein 2 (UCP2) is a mitochondrial protein that regulates the flow of protons down the gradient established by the electron transport chain (ETC) without generating ATP, thus uncoupling the proton gradient from ATP generation. In tumors, specifically pancreatic cancer (PDAC), the ETC is highly stimulated to generate the copious ATP needed by the tumor to grow. However, extended ETC use increases reactive oxygen species (ROS), and if left unchecked, results in cell death. To evade this, PDAC employs antioxidant strategies, including upregulating UCP2 in tumor cells. In addition to its uncoupling function, UCP2 indirectly controls ROS levels by maintaining …
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
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) …
Improving Scheduling Accuracy Through A Standardized Dermatology Consult Order, Deion Whitehead
Improving Scheduling Accuracy Through A Standardized Dermatology Consult Order, Deion Whitehead
Doctor of Nursing Practice Final Project Abstract
Improving Scheduling Accuracy through a Standardized Dermatology Consult Order
PURPOSE
This quality improvement (QI) project aimed to improve scheduling accuracy and reduce referral errors in a dermatology department by implementing a standardized consult order form within the electronic health record (EHR).
BACKGROUND
Inaccurate dermatology referrals led to misdirected consultations, increased reconsultation rates, and treatment delays. A lack of standardization contributed to inefficiencies, impacting patient outcomes and workflow. Implementing a structured referral form aimed to enhance triaging accuracy and improve timely dermatologic care.
METHODOLOGY
A pre- and post-intervention design was used. An eight-week baseline data collection period (n=288) assessed existing referral …
Managing Cardiovascular Health In The Hispanic Community: Implementing The Share Approach At A Primary Care Clinic, Jacqueline Molina
Managing Cardiovascular Health In The Hispanic Community: Implementing The Share Approach At A Primary Care Clinic, Jacqueline Molina
Doctor of Nursing Practice Final Project Abstract
Purpose: The purpose of this project was to determine the effectiveness of the Seek, Help, Assess, Reach, and Evaluate (SHARE) approach in the management of cardiovascular disease (CVD) risk factors in the Hispanic population at a primary care clinic while improving health literacy. The aim was that by February 2025, Hispanic patients at the clinic would achieve a 10% reduction in CVD risk factors.
Background: The project was implemented at a small private primary care clinic in Texas. CVD risk factors prevalent include hypertension, mixed hyperlipidemia, and diabetes mellitus.
Methodology: Before implementation provider and staff were educated on the SHARE …
Ascl2 Positive Tumor Cells Modulate The Response Of Metastatic Colorectal Cancer To Mapk-Targeting Therapy, Oscar Eduardo Villarreal
Ascl2 Positive Tumor Cells Modulate The Response Of Metastatic Colorectal Cancer To Mapk-Targeting Therapy, Oscar Eduardo Villarreal
Dissertations and Theses (Open Access)
Colorectal cancer (CRC) is the second leading cause of cancer related deaths with nearly a quarter of patients presenting with metastatic disease at the time of their diagnosis. Therapeutic management of metastatic CRC continues to be a major challenge due to therapy resistance and disease heterogeneity. Due to its central role in tumorigenesis, CRC is commonly treated with MAPK pathway inhibitors (MAPKi). However, clinical trials repeatedly demonstrates that durability of benefit is short-lived in many patients. While genomic mechanisms of acquired resistance have been described, they explain a minority of patients, and further research is needed to determine the underlying …
Author Correction: Predictive Equation Derived From 6,497 Doubly Labelled Water Measurements Enables The Detection Of Erroneous Self-Reported Energy Intake, Rania Bajunaid, Chaoqun Niu, Catherine Hambly, Zongfang Liu, Yosuke Yamada, Heliodoro Aleman-Mateo, Liam J Anderson, Lenore Arab, Issad Baddou, Linda Bandini, Kweku Bedu-Addo, Ellen E Blaak, Carlijn V C Bouten, Soren Brage, Maciej S Buchowski, Nancy F Butte, Stefan G J A Camps, Regina Casper, Graeme L Close, Jamie A Cooper, Richard Cooper, Sai Krupa Das, Peter S W Davies, Prasangi Dabare, Lara R Dugas, Simon Eaton, Ulf Ekelund, Sonja Entringer, Terrence Forrester, Barry W Fudge, Melanie Gillingham, Annelies H Goris, Michael Gurven, Asmaa El Hamdouchi, Hinke H Haisma, Daniel Hoffman, Marije B Hoos, Sumei Hu, Noorjehan Joonas, Annemiek M Joosen, Peter Katzmarzyk, Misaka Kimura, William E Kraus, Wantanee Kriengsinyos, Rebecca Kuriyan, Robert F Kushner, Estelle V Lambert, Pulani Lanerolle, Christel L Larsson, William R Leonard, Nader Lessan, Marie Löf, Corby K Martin, Eric Matsiko, Anine C Medin, James C Morehen, James P Morton, Aviva Must, Marian L Neuhouser, Theresa A Nicklas, Christine D Nyström, Robert M Ojiambo, Kirsi H Pietiläinen, Yannis P Pitsiladis, Jacob Plange-Rhule, Guy Plasqui, Ross L Prentice, Susan B Racette, David A Raichlen, Eric Ravussin, Leanne M Redman, John J Reilly, Rebecca Reynolds, Susan B Roberts, Dulani Samaranayakem, Luis B Sardinha, Analiza M Silva, Anders M Sjödin, Marina Stamatiou, Eric Stice, Samuel S Urlacher, Ludo M Van Etten, Edgar G A H Van Mil, George Wilson, Jack A Yanovski, Tsukasa Yoshida, Xueying Zhang, Alexia J Murphy-Alford, Srishti Sinha, Cornelia U Loechl, Amy H Luke, Herman Pontzer, Jennifer Rood, Hiroyuki Sagayama, Dale A Schoeller, Klaas R Westerterp, William W Wong, John R Speakman
Author Correction: Predictive Equation Derived From 6,497 Doubly Labelled Water Measurements Enables The Detection Of Erroneous Self-Reported Energy Intake, Rania Bajunaid, Chaoqun Niu, Catherine Hambly, Zongfang Liu, Yosuke Yamada, Heliodoro Aleman-Mateo, Liam J Anderson, Lenore Arab, Issad Baddou, Linda Bandini, Kweku Bedu-Addo, Ellen E Blaak, Carlijn V C Bouten, Soren Brage, Maciej S Buchowski, Nancy F Butte, Stefan G J A Camps, Regina Casper, Graeme L Close, Jamie A Cooper, Richard Cooper, Sai Krupa Das, Peter S W Davies, Prasangi Dabare, Lara R Dugas, Simon Eaton, Ulf Ekelund, Sonja Entringer, Terrence Forrester, Barry W Fudge, Melanie Gillingham, Annelies H Goris, Michael Gurven, Asmaa El Hamdouchi, Hinke H Haisma, Daniel Hoffman, Marije B Hoos, Sumei Hu, Noorjehan Joonas, Annemiek M Joosen, Peter Katzmarzyk, Misaka Kimura, William E Kraus, Wantanee Kriengsinyos, Rebecca Kuriyan, Robert F Kushner, Estelle V Lambert, Pulani Lanerolle, Christel L Larsson, William R Leonard, Nader Lessan, Marie Löf, Corby K Martin, Eric Matsiko, Anine C Medin, James C Morehen, James P Morton, Aviva Must, Marian L Neuhouser, Theresa A Nicklas, Christine D Nyström, Robert M Ojiambo, Kirsi H Pietiläinen, Yannis P Pitsiladis, Jacob Plange-Rhule, Guy Plasqui, Ross L Prentice, Susan B Racette, David A Raichlen, Eric Ravussin, Leanne M Redman, John J Reilly, Rebecca Reynolds, Susan B Roberts, Dulani Samaranayakem, Luis B Sardinha, Analiza M Silva, Anders M Sjödin, Marina Stamatiou, Eric Stice, Samuel S Urlacher, Ludo M Van Etten, Edgar G A H Van Mil, George Wilson, Jack A Yanovski, Tsukasa Yoshida, Xueying Zhang, Alexia J Murphy-Alford, Srishti Sinha, Cornelia U Loechl, Amy H Luke, Herman Pontzer, Jennifer Rood, Hiroyuki Sagayama, Dale A Schoeller, Klaas R Westerterp, William W Wong, John R Speakman
Children’s Nutrition Research Center Staff Publications
No abstract provided.
Pembrolizumab In Patients With Advanced Miscellaneous Rare Cancers: Results From A Phase 2 Basket Trial, Mirella Nardo, Camila Braganca Xavier, Bettzy Stephen, Jeffrey A How, Justin Moyers, Vivek Subbiah, David S Hong, Aung Naing
Pembrolizumab In Patients With Advanced Miscellaneous Rare Cancers: Results From A Phase 2 Basket Trial, Mirella Nardo, Camila Braganca Xavier, Bettzy Stephen, Jeffrey A How, Justin Moyers, Vivek Subbiah, David S Hong, Aung Naing
Faculty, Staff and Student Publications
Introduction: Rare solid tumors account for one-quarter of cancers among adults in the United States, but few resources have been devoted to their treatment. We evaluated the efficacy of pembrolizumab, a programmed cell death-1 inhibitor, in patients with rare solid tumors.
Methods: We conducted a phase 2 basket trial that included patients with rare, advanced tumors. Patients were enrolled in the study in nine tumor-specific and a 10th cohort of miscellaneous rare histologies. Patients received pembrolizumab 200 mg intravenously every 21 days. The primary endpoint was the non-progression rate at 27 weeks per immune-related Response Evaluation Criteria in Solid Tumors …
Immune Landscape Of Early Liver Metastatic Lesions In A Novel Immunocompetent Murine Colorectal Cancer Metastasis Model, Alaa Mohamed
Immune Landscape Of Early Liver Metastatic Lesions In A Novel Immunocompetent Murine Colorectal Cancer Metastasis Model, Alaa Mohamed
Dissertations and Theses (Open Access)
Colorectal cancer minimal residual disease (MRD) represents a major clinical problem for colorectal cancer patients, with failure rates of surgery and adjuvant chemotherapy between 5% to 40% depending on stage of disease. In our study, we simulated MRD using genetically engineered organoids with precise somatic editing of APC and TP53, creating a murine model that mimics human liver metastatic colorectal cancer. By implementing a meticulously timed experimental metastatic model, we could detect microscopic tumor lesions. Through genomic and transcriptomic analyses, we pinpointed the importance of macrophages, particularly those expressing high levels of CSF1R, in these microscopic metastatic focal lesions. We …
Unraveling Epigenetic Mechanisms That Regulate Breast Cancer Lung Metastatic Relapse By Rewiring The Immune Microenvironment, Jayanta Mondal
Unraveling Epigenetic Mechanisms That Regulate Breast Cancer Lung Metastatic Relapse By Rewiring The Immune Microenvironment, Jayanta Mondal
Dissertations and Theses (Open Access)
Metastasis accounts for >90% of cancer-related deaths and thwarting metastasis is widely considered to be the “Holy Grail” of cancer treatment. Breast cancer is the most common cause of cancer-related death among women and is characterized by its proclivity to spread to distant secondary organs like the lungs, and the brain. These disseminated tumor cells lie dormant at the secondary site and can undergo metastatic relapse. Epigenetic alterations are a predominant hallmark of cancer, however, its role in facilitating reawakening of dormant cancer cells and the subsequent metastatic relapse remains to be elucidated. To address this gap of knowledge, we …
Developing Novel Therapies Targeting The Tumor Microenvironment Of Aggressive Breast Cancer, Lan T H Phi
Developing Novel Therapies Targeting The Tumor Microenvironment Of Aggressive Breast Cancer, Lan T H Phi
Dissertations and Theses (Open Access)
Triple-negative breast cancer (TNBC) and inflammatory breast cancer (IBC) are the most aggressive breast cancer subtypes. The tumor microenvironment (TME) is critical in driving these aggressive breast cancers' clinical phenotype and aggressiveness. Therefore, we explored novel actionable targets and complementary therapies targeting the TME to improve the outcomes of patients with these cancers.
In this thesis, we identified AXL as a potential therapeutic target in IBC due to its role in generating an immunosuppressive TME. Indeed, inhibiting the AXL pathway suppresses IBC tumor growth and reduces M2 macrophage populations in various mouse models. Mechanistically, AXL facilitates the polarization of M2 …