Medicine and Health Sciences Commons^™

Does Time To Initiation Of Adjuvant Radiotherapy Affect Reconstruction Outcomes After Endoscopic Resection Of Skull Base Malignancies?, Franco Rubino, Bledi Brahimaj, Ehab Y Hanna, Shirley Y Su, Jack Phan, David R Grosshans, Franco Demonte, Shaan M Raza

Faculty, Staff and Student Publications

Introduction and Objective It is unclear if the length of the time interval to initiation of adjuvant radiation therapy (RT) after endoscopic endonasal surgery affects reconstruction outcomes. In this study we present our experience with adjuvant RT after endoscopic endonasal procedures, to determine if the time to RT after surgery impacts post-RT reconstruction complication rates.

Methods A retrospective cohort study of 164 patients who underwent endoscopic endonasal surgery between 1998 and 2021 was conducted. Using Cox proportional hazard ratios (HRs), we evaluated several variables and the complications that occurred during the 1-year period after starting RT.

Results Seventy-eight (47.5%) and …

Drugformer: Graph-Enhanced Language Model To Predict Drug Sensitivity, Xiaona Liu, Qing Wang, Minghao Zhou, Yanfei Wang, Xuefeng Wang, Xiaobo Zhou, Qianqian Song

Faculty, Staff and Student Publications

Drug resistance poses a crucial challenge in healthcare, with response rates to chemotherapy and targeted therapy remaining low. Individual patient's resistance is exacerbated by the intricate heterogeneity of tumor cells, presenting significant obstacles to effective treatment. To address this challenge, DrugFormer, a novel graph-augmented large language model designed to predict drug resistance at single-cell level is proposed. DrugFormer integrates both serialized gene tokens and gene-based knowledge graphs for the accurate predictions of drug response. After training on comprehensive single-cell data with drug response information, DrugFormer model presents outperformance, with higher F1, precision, and recall in predicting drug response. Based on …

Tcellsi: A Novel Method For T Cell State Assessment And Its Applications In Immune Environment Prediction, Jing-Min Yang, Nan Zhang, Tao Luo, Mei Yang, Wen-Kang Shen, Zhen-Lin Tan, Yun Xia, Libin Zhang, Xiaobo Zhou, Qian Lei, An-Yuan Guo

Faculty, Staff and Student Publications

T cell is an indispensable component of the immune system and its multifaceted functions are shaped by the distinct T cell types and their various states. Although multiple computational models exist for predicting the abundance of diverse T cell types, tools for assessing their states to characterize their degree of resting, activation, and suppression are lacking. To address this gap, a robust and nuanced scoring tool called T cell state identifier (TCellSI) leveraging Mann-Whitney

Temporal Recording Of Mammalian Development And Precancer, Mirazul Islam, Yilin Yang, Alan J Simmons, Vishal M Shah, Krushna Pavan Musale, Yanwen Xu, Naila Tasneem, Zhengyi Chen, Linh T Trinh, Paola Molina, Marisol A Ramirez-Solano, Iannish D Sadien, Jinzhuang Dou, Andrea Rolong, Ken Chen, Mark A Magnuson, Jeffrey C Rathmell, Ian G Macara, Douglas J Winton, Qi Liu, Hamim Zafar, Reza Kalhor, George M Church, Martha J Shrubsole, Robert J Coffey, Ken S Lau

Faculty, Staff and Student Publications

Temporal ordering of cellular events offers fundamental insights into biological phenomena. Although this is traditionally achieved through continuous direct observations1,2, an alternative solution leverages irreversible genetic changes, such as naturally occurring mutations, to create indelible marks that enables retrospective temporal ordering3–5. Using a multipurpose, single-cell CRISPR platform, we developed a molecular clock approach to record the timing of cellular events and clonality in vivo, with incorporation of cell state and lineage information. Using this approach, we uncovered precise timing of tissue-specific cell expansion during mouse embryonic development, unconventional developmental relationships between cell …

Let’S Make It A Game: Utilizing An Escape Room To Study Variables And Interventions That Impact The Development Of Psychological Safety, Kimberly N. Williams

Doctoral Dissertations and Master's Theses

To thrive in today’s competitive markets, organizations must harness the insights of all members. This requires employees to feel comfortable collaborating and sharing diverse knowledge—a process enabled by psychological safety. Although extensively studied over the past two decades, how and when psychological safety develops remains unclear. This research addresses these gaps by exploring temporal changes in psychological safety and examining the role of team inputs, processes, and interventions in shaping psychological safety perceptions at individual and team levels. This study utilized a quasi-experimental design with repeated and independent measures in a sample of 74 medical and physician assistant students. Within-subject …

Neoadjuvant And Adjuvant Treatments For Early Stage Resectable Nsclc: Consensus Recommendations From The International Association For The Study Of Lung Cancer, Jonathan D Spicer, Tina Cascone, Murry W Wynes, Myung-Ju Ahn, Sanja Dacic, Enriqueta Felip, Patrick M Forde, Kristin A Higgins, Mark G Kris, Tetsuya Mitsudomi, Mariano Provencio, Suresh Senan, Benjamin J Solomon, Ming Sound Tsao, Masahiro Tsuboi, Heather A Wakelee, Yi-Long Wu, James Chih-Hsin Yang, Caicun Zhou, David H Harpole, Karen L Kelly

Faculty, Staff and Student Publications

Advances in the multidisciplinary care of early stage resectable NSCLC (rNSCLC) are emerging at an unprecedented pace. Numerous phase 3 trials produced results that have transformed patient outcomes for the better, yet these findings also require important modifications to the patient treatment journey trajectory and reorganization of care pathways. Perhaps, most notably, the need for multispecialty collaboration for this patient population has never been greater. These rapid advances have inevitably left us with important gaps in knowledge for which definitive answers will only become available in several years. To this end, the International Association for the Study of Lung Cancer …

Multi-Modal Segmentation With Missing Image Data For Automatic Delineation Of Gross Tumor Volumes In Head And Neck Cancers, Yao Zhao, Xin Wang, Jack Phan, Xinru Chen, Anna Lee, Cenji Yu, Kai Huang, Laurence E Court, Tinsu Pan, He Wang, Kareem Abdul Wahid, Abdalah S R Mohamed, Mohamed Naser, Clifton D Fuller, Jinzhong Yang

Faculty, Staff and Student Publications

Background: Head and neck (HN) gross tumor volume (GTV) auto-segmentation is challenging due to the morphological complexity and low image contrast of targets. Multi-modality images, including computed tomography (CT) and positron emission tomography (PET), are used in the routine clinic to assist radiation oncologists for accurate GTV delineation. However, the availability of PET imaging may not always be guaranteed.

Purpose: To develop a deep learning segmentation framework for automated GTV delineation of HN cancers using a combination of PET/CT images, while addressing the challenge of missing PET data.

Methods: Two datasets were included for this study: Dataset I: 524 (training) …

Optical Genome Mapping Improves The Accuracy Of Classification, Risk Stratification, And Personalized Treatment Strategies For Patients With Acute Myeloid Leukemia, Sanam Loghavi, Qing Wei, Farhad Ravandi, Andres E Quesada, Mark J Routbort, Shimin Hu, Gokce A Toruner, Sa A Wang, Wei Wang, Roberto N Miranda, Shaoying Li, Jie Xu, Courtney D Dinardo, Naval Daver, Tapan M Kadia, Ghayas C Issa, Hagop M Kantarjian, L Jeffrey Medeiros, Guilin Tang

Faculty, Staff and Student Publications

Cytogenomic characterization is crucial for the classification and risk stratification of acute myeloid leukemia (AML), thereby facilitating therapeutic decision-making. We examined the clinical utility of optical genome mapping (OGM) in 159 AML patients (103 newly diagnosed and 56 refractory/relapsed), all of whom also underwent chromosomal banding analysis (CBA), fluorescence in situ hybridization, and targeted next-generation sequencing. OGM detected nearly all clinically relevant cytogenetic abnormalities that SCG identified with >99% sensitivity, provided the clonal burden was above 20%. OGM identified additional cytogenomic aberrations and/or provided information on fusion genes in 77 (48%) patients, including eight patients with normal karyotypes and four …

Molecular Landscape Of Erbb2 Alterations In 3000 Advanced Nsclc Patients, Lingzhi Hong, Sonia Patel, Leylah M Drusbosky, Yuanyuan Xiong, Rongrong Chen, Ruixuan Geng, Simon Heeke, Monique Nilsson, Jia Wu, John V Heymach, Yingyi Wang, Jianjun Zhang, Xiuning Le

Faculty, Staff and Student Publications

ERBB2 (HER2) represents a newly recognized actionable oncogenic driver in non-small cell lung cancer (NSCLC), with approved targeted therapy available. Understanding the landscape of ERBB2 alterations and co-occurring mutations is essential for guiding treatment decisions. We conducted an analysis involving 3000 NSCLC patients with all types of ERBB2 alterations, drawn from two extensive retrospective cohorts: 1281 from Geneplus (Chinese) and 1719 from Guardant360 (the United States, US). The incidence of all types of ERBB2 alterations was found to be 5.6% in the Chinese group and 5.2% in the US group. In both cohorts, among oncogenic alterations of ERBB2, exon 20 …

Identification Of Molecular Signatures In Epicardial Adipose Tissue In Heart Failure With Preserved Ejection Fraction, Shan He, Lei Zhao, Jianjun Zhang, Xinchun Yang, Huagang Zhu

Faculty, Staff and Student Publications

AIMS: The molecular signatures in epicardial adipose tissue (EAT) that contribute to the pathogenesis of heart failure with preserved ejection fraction (HFpEF) are poorly characterized. In this study, we sought to elucidate molecular signatures including genetic transcripts and long non-coding RNAs (lncRNAs) in EAT that might modulate HFpEF development.

METHODS: RNA sequencing (RNA-seq) was performed to identify differentially expressed lncRNAs and mRNAs in EAT samples from patients with HFpEF (n = 5) and without HF (control, n = 5) who underwent coronary artery bypass grafting. The sequencing results were validated using quantitative real-time PCR (qRT-PCR). Bioinformatics analysis (Gene Ontology and …

A Simulation And Small-Group Pediatric Emergency Medicine Course For Generalist Healthcare Providers: Gastrointestinal And Nutrition Emergencies, Adeola Adekunbi Kosoko, Alicia E Genisca, Nicholas A Peoples, Connor Tompkins, Ryan Sorensen, Joy Mackey

Faculty, Staff and Student Publications

Audience and type of curriculum: This is a review curriculum utilizing multiple methods of education to enhance the skills of generalist healthcare providers in low- and middle-income countries (LMICs) in the identification and stabilization of pediatric respiratory emergencies. Our audience of implementation was Belizean generalist providers (nurses and physicians).

Length of curriculum: 8-10 hours.

Introduction: Early recognition and stabilization of critical pediatric patients can improve outcomes. Compared with resource-rich systems, many low-resource settings (i.e., LMICs) rely on generalists to provide most pediatric acute care. We created a curriculum for general practitioners comprising multiple educational modules focused on identifying and stabilizing …

Interest In And Willingness To Use Prep: A Cross-Sectional Study Of Individuals With Problematic Substance Use Residing In A High Hiv Prevalence Jurisdiction, Angela M Heads, Constanza De Dios, Kaixuan An, Jin H Yoon, Robert Suchting, Adrienne Gilmore-Thomas, Joy M Schmitz

Faculty, Staff and Student Publications

Although it is an effective HIV prevention method, pre-exposure prophylaxis (PrEP) is underutilized in the Southern US. Many people who use drugs (PWUD) have increased susceptibility to HIV which could be lessened by using PrEP. Potential barriers to PrEP use include lack of awareness of PrEP, low knowledge about HIV prevention, low self-efficacy for HIV prevention, inaccurate risk perceptions, and anticipated stigma. The current study examined predisposing, enabling, and reinforcing factors that may predict interest in PrEP. The purpose of the current study was to explore factors associated with interest in and willingness to use daily oral and long acting …

Quantifying Placenta Accreta Spectrum Severity And Its Associated Blood Loss: A Novel Transvaginal Ultrasound Scoring System, Neha Agarwal, Edgar Hernandez-Andrade, Baha M Sibai, Farah H Amro, Jennie O Coselli, Michal F Bartal, Dejian Lai, Eleazar E Soto Torres, Sami Backley, Anthony Johnson, Jimmy Espinoza, Eric P Bergh, Sen Zhu, Ashley Salazar, Sean C Blackwell, Ramesha Papanna

Faculty, Staff and Student Publications

Background: Hemorrhage associated with placenta accreta spectrum (PAS) is a leading cause of maternal morbidity and mortality. Estimating blood loss in these individuals is a critical component of comprehensive preoperative planning.

Objective: A semiquantitative score based on transvaginal ultrasound was developed and tested to predict PAS, estimate its severity, and blood loss in individuals with clinical and ultrasound evidence suggesting PAS.

Study design: A secondary analysis was conducted of prospectively collected data from a quaternary center of patients with suspected accreta on 2D ultrasound and clinical suspicion. A predetermined scoring system was applied based on three components: (1) uterine wall …

A Protein Expression Atlas On Tissue Samples And Cell Lines From Cancer Patients Provides Insights Into Tumor Heterogeneity And Dependencies, Jun Li, Wei Liu, Kamalika Mojumdar, Hong Kim, Zhicheng Zhou, Zhenlin Ju, Shwetha V Kumar, Patrick Kwok-Shing Ng, Han Chen, Michael A Davies, Yiling Lu, Rehan Akbani, Gordon B Mills, Han Liang

Faculty, Staff and Student Publications

The Cancer Genome Atlas (TCGA) and the Cancer Cell Line Encyclopedia (CCLE) are foundational resources in cancer research, providing extensive molecular and phenotypic data. However, large-scale proteomic data across various cancer types for these cohorts remain limited. Here, we expand upon our previous work to generate high-quality protein expression data for approximately 8,000 TCGA patient samples and around 900 CCLE cell line samples, covering 447 clinically relevant proteins, using reverse-phase protein arrays. These protein expression profiles offer profound insights into intertumor heterogeneity and cancer dependency and serve as sensitive functional readouts for somatic alterations. We develop a systematic protein-centered strategy …

Tools And Recommendations For Commissioning And Quality Assurance Of Deformable Image Registration In Radiotherapy, Lando S Bosma, Mohammad Hussein, Michael G Jameson, Soban Asghar, Kristy K Brock, Jamie R Mcclelland, Sara Poeta, Johnson Yuen, Cornel Zachiu, Adam U Yeo

Faculty, Staff and Student Publications

Multiple tools are available for commissioning and quality assurance of deformable image registration (DIR), each with their own advantages and disadvantages in the context of radiotherapy. The selection of appropriate tools should depend on the DIR application with its corresponding available input, desired output, and time requirement. Discussions were hosted by the ESTRO Physics Workshop 2021 on Commissioning and Quality Assurance for DIR in Radiotherapy. A consensus was reached on what requirements are needed for commissioning and quality assurance for different applications, and what combination of tools is associated with this. For commissioning, we recommend the target registration error of …

Autonomic Dysfunction Among Adult Survivors Of Childhood Cancer In The St Jude Lifetime Cohort Study, John D Groarke, Kirsten K Ness, Rikeenkumar Dhaduk, Juan C Plana, Jean Bernard Durand, Russell V Luepker, Vijaya M Joshi, Matthew Ehrhardt, Daniel A Mulrooney, Stephanie B Dixon, Anju Nohria, Daniel M Green, Rebecca M Howell, Deo Kumar Srivastava, John L Jefferies, Leslie L Robison, Melissa M Hudson, Gregory T Armstrong

Faculty, Staff and Student Publications

Background: The burden and functional significance of autonomic dysfunction among survivors of childhood cancer is unknown.

Objectives: We evaluated the prevalence, risk factors, and functional relevance of autonomic dysfunction in survivors.

Methods: We conducted a cross-sectional prospective evaluation of 1,041 adult survivors of childhood cancer treated with anthracyclines (31.1%), chest-directed radiation (13.5%), both (19.5%), or neither (35.9%), and 286 community control subjects enrolled in the SJLIFE (St Jude Lifetime Cohort Study). Four measures of autonomic dysfunction were evaluated: elevated resting heart rate, decreased heart rate reserve, decreased systolic blood pressure response to exercise, and delayed heart rate recovery. Logistic regression …

Development Of An Engineered Extracellular Vesicles-Based Vaccine Platform For Combined Delivery Of Mrna And Protein To Induce Functional Immunity, Xin Luo, Kathleen M Mcandrews, Kent A Arian, Sami J Morse, Viktoria Boeker, Shreyasee V Kumbhar, Yingying Hu, Krishnan K Mahadevan, Kaira A Church, Sriram Chitta, Nicolas T Ryujin, Janine Hensel, Jianli Dai, Dara P Dowlatshahi, Hikaru Sugimoto, Michelle L Kirtley, Valerie S Lebleu, Shabnam Shalapour, Joe H Simmons, Raghu Kalluri

Faculty, Staff and Student Publications

mRNA incorporated in lipid nanoparticles (LNPs) became a new class of vaccine modality for induction of immunity against COVID-19 and ushered in a new era in vaccine development. Here, we report a novel, easy-to-execute, and cost effective engineered extracellular vesicles (EVs)-based combined mRNA and protein vaccine platform (EVX-M+P vaccine) and explore its utility in proof-of-concept immunity studies in the settings of cancer and infectious disease. As a first example, we engineered EVs, natural nanoparticle carriers shed by all cells, to contain ovalbumin mRNA and protein (EVOvaM+P vaccine) to serve as cancer vaccine against ovalbumin-expressing melanoma tumors. EVOvaM+P administration to mice …

High Throughput And Rapid Isolation Of Extracellular Vesicles And Exosomes With Purity Using Size Exclusion Liquid Chromatography, Kshipra S Kapoor, Kristen Harris, Kent A Arian, Lihua Ma, Beatriz Schueng Zancanela, Kaira A Church, Kathleen M Mcandrews, Raghu Kalluri

Faculty, Staff and Student Publications

Extracellular vesicles (EVs) have emerged as potential biomarkers for diagnosing a range of diseases without invasive procedures. Extracellular vesicles also offer advantages compared to synthetic vesicles for delivery of various drugs; however, limitations in segregating EVs from other particles and soluble proteins have led to inconsistent EV retrieval rates with low levels of purity. Here, we report a new high-yield (88.47 %) and rapid (< 20 min) EV isolation method termed size exclusion - fast protein liquid chromatography (SE-FPLC). We show SE-FPLC can effectively isolate EVs from multiple sources including EVs derived from human and mouse cells and serum samples. The results indicate that SE-FPLC can successfully remove highly abundant protein contaminants such as albumin and lipoprotein complexes, which can represent a major hurdle in large scale isolation of EVs. The high-yield nature of SE-FPLC allows for easy industrial scaling up of EV production for various clinical utilities. SE-FPLC also enables analysis of small volumes of blood for use in point-of-care diagnostics in the clinic. Collectively, SE-FPLC offers many advantages over current EV isolation methods and offers rapid clinical translation.

Oculomics Analysis In Multiple Sclerosis: Current Ophthalmic Clinical And Imaging Biomarkers, Alex Suh, Gilad Hampel, Aditya Vinjamuri, Joshua Ong, Sharif Amit Kamran, Ethan Waisberg, Phani Paladugu, Nasif Zaman, Prithul Sarker, Alireza Tavakkoli, Andrew G Lee

Faculty, Staff and Student Publications

Multiple Sclerosis (MS) is a chronic autoimmune demyelinating disease of the central nervous system (CNS) characterized by inflammation, demyelination, and axonal damage. Early recognition and treatment are important for preventing or minimizing the long-term effects of the disease. Current gold standard modalities of diagnosis (e.g., CSF and MRI) are invasive and expensive in nature, warranting alternative methods of detection and screening. Oculomics, the interdisciplinary combination of ophthalmology, genetics, and bioinformatics to study the molecular basis of eye diseases, has seen rapid development through various technologies that detect structural, functional, and visual changes in the eye. Ophthalmic biomarkers (e.g., tear composition, …

Social Determinants Of Health And Surgical Desirability Of Outcome Ranking In Older Veterans, Michael A Jacobs, Yubo Gao, Susanne Schmidt, Paula K Shireman, Michael Mader, Carly A Duncan, Leslie R M Hausmann, Karyn B Stitzenberg, Lillian S Kao, Mary Vaughan Sarrazin, Daniel E Hall

Faculty, Staff and Student Publications

Importance: Evaluating how social determinants of health (SDOH) influence veteran outcomes is crucial, particularly for quality improvement.

Objective: To measure associations between SDOH, care fragmentation, and surgical outcomes using a Desirability of Outcome Ranking (DOOR).

Design, setting, and participants: This was a cohort study of US veterans using data from the Veterans Affairs (VA) Surgical Quality Improvement Program (VASQIP; 2013-2019) limited to patients aged 65 years or older with inpatient stays between 2 and 30 days, merged with multiple data sources, including Medicare. Race and ethnicity data were retrieved from VASQIP, Medicare and Medicaid beneficiary summary files, the Veterans Health …

Targeting The Epidermal Growth Factor Receptor Pathway In Chemotherapy-Resistant Triple-Negative Breast Cancer: A Phase Ii Study, Clinton Yam, Miral Patel, Holly A Hill, Ryan Sun, Roland L Bassett, Elisabeth Kong, Senthil Damodaran, Kimberly B Koenig, Sausan Abouharb, Sadia Saleem, Ajit K Bisen, Rashmi K Murthy, David L Ramirez, Gaiane M Rauch, Beatriz E Adrada, Rosalind P Candelaria, Xiaoping Wang, Elizabeth A Mittendorf, Alastair M Thompson, Jason B White, Elizabeth E Ravenberg, Alyson R Clayborn, Qing-Qing Ding, Daniel J Booser, Oluchi Oke, Abenaa M Brewster, Gabriel N Hortobagyi, Nuhad K Ibrahim, Jennifer K Litton, Vicente Valero, Banu K Arun, Debu Tripathy, Jeffrey T Chang, Ken Chen, Anil Korkut, Stacy L Moulder, Lei Huo, Bora Lim, Naoto T Ueno

Faculty, Staff and Student Publications

Purpose: Epidermal growth factor receptor (EGFR) pathway activation causes chemotherapy resistance, and inhibition of the EGFR pathway sensitizes triple-negative breast cancer (TNBC) cells to chemotherapy in preclinical models. Given the high prevalence of EGFR overexpression in TNBC, we conducted a single-arm phase II study of panitumumab (anti-EGFR monoclonal antibody), carboplatin, and paclitaxel as the second phase of neoadjuvant therapy (NAT) in patients with doxorubicin and cyclophosphamide (AC)-resistant TNBC (NCT02593175).

Patients and methods: Patients with early-stage, AC-resistant TNBC, defined as disease progression or ≤80% reduction in tumor volume after four cycles of AC, were eligible for this study and …

Vaccine Decision-Making Among Pregnant Women: A Protocol For A Cross-Sectional Mixed-Method Study In Brazil, Ghana, Kenya And Pakistan, Jessica Schue, Prachi Singh, Berhaun Fesshaye, Emily Miller, Shanelle Quinn, Ruth Karron, Renato Souza, Maria Laura Costa, Ferdinand Okwaro, Marleen Temmerman

Centre of Excellence in Women and Child Health

Maternal immunization is a critical strategy to prevent both maternal and infant morbidity and mortality from several infectious diseases. When the first COVID-19 vaccines became available during the pandemic, there was mixed messaging and confusion amongst the broader public and among those associated with health care systems about the recommendations for COVID-19 vaccinations in pregnancy in many countries. A multi-country, mixed-methods study is being undertaken to describe how vaccine decision-making occurs amongst pregnant and postpartum women, with a focus on COVID-19 vaccines. The study is being conducted in Brazil, Ghana, Kenya, and Pakistan. In each country, participants are being recruited …

Exploring Conversations Between A Practitioner And A Person With Dementia, Kotaro Hara, Rosiana Natalie, Wei Soon Cheong, Jingjing Gu, Qianli Xu

Research Collection School Of Computing and Information Systems

In social service centers, practitioners engage in conversations with clients with dementia to facilitate their daily activities and provide support when they are distressed. However, the nature of the care demands the practitioner’s active engagement, which becomes difficult to deliver as the number of people who need care expands. Researchers have been investigating the efficacy of developing agents that assume conversational tasks to alleviate this work. To contribute to the future design of agents for caregiving, we collected and analyzed ten conversations between clients with mild dementia and practitioners who provide care. Our analyses of turn-taking dynamics and dialogue acts …

Motivating Physical Activity With Fitness Tracking And The Interpersonal Context, Sapphire H. Lin, Sonny Rosenthal, Rich Ling

Research Collection College of Integrative Studies

Many societies have aging populations. Getting older people to exercise can help them achieve a higher quality of life. Fitness tracking and social support can buttress that goal. This study tested the effects of fitness tracking and spousal influence on the physical activity of older adults. In a 2 (blinded vs. feedback) × 2 (individual vs. dyad) between-group experiment, 240 participants received a fitness tracker with a visible or blinded display. They participated in the three-month experiment either individually or with their spouses. Participants who received feedback met daily step counts of 7500 and 10,000 more frequently than those without …

Performance Of Artificial Neural Network Compared To Multi-Linear Regression In Prediction Of Countermovement Jump Height, Amirhossein Emamian, Alireza Hashemi Oskouei, Kristof Kipp, Rasoul Azreh

Exercise Science Faculty Research and Publications

Previous research has used primarily linear regression models to predict jump height and establish contributors of performance. The purpose of this study was to compare the performance of artificial neural network (ANN) and multi-linear regression (MLR) in prediction of countermovement jump (CMJ) height and investigating the contribution of kinematic variables to CMJ performance. Thirty-four healthy young male athletes performed a total of 204 CMJ while eight kinematic variables (the hip, knee, and ankle angles at the begging of the concentric phase of CMJ, the hip and knee take-off angles, and the shoulder, hip, and knee maximum angular velocities) were used …

Severe Hypertension In Postpartum: How A Nurse Driven Protocol Can Be Used To Decrease A Delay In Treatment, Kayleigh Momme

All Doctor of Nursing Practice (DNP) Scholarly Projects

Problem: The problem at the practicum site is a delay in the treatment of severe range hypertension in postpartum patients due to IV push antihypertensives being administered by resident physicians who are clinically stationed in another building as opposed to the primary nurse.

Aim of the Project: The overall aim is to institute a protocol that will prevent a time delay for the treatment of severe range blood pressures in postpartum patients.

Review of Evidence: Hypertensive disorders during pregnancy and the immediate postpartum period are the leading cause of maternal morbidity and mortality. Obstetric related governing bodies have come to …

Implementation Of Barcode Medication Administration To Reduce Vaccine Errors, Elizabeth R. Schwarz

All Doctor of Nursing Practice (DNP) Scholarly Projects

Problem: In the project organization, a large ambulatory medical group, there have been high rates of vaccine administration errors, particularly within family practice locations, which have the most variety of vaccines given.

Aim of the Project: This project aimed to improve the safety of vaccine administration by implementing barcode medication administration (BCMA) in two family practice locations.

Review of the Evidence: BCMA is increasingly recommended for outpatient settings by patient safety groups like the Institute for Safe Medication Practices (2022). Studies show BCMA can save time, improve vaccine data capture and can decrease medication errors by up to 74% (Evanson …

Reducing 30-Day Post-Stroke Readmissions With A Discharge Checklist Tool, Monika Robinson

All Doctor of Nursing Practice (DNP) Scholarly Projects

Problem: The practice site, a nationally certified stroke care hospital, faced challenges with 30-day post-stroke readmission rates of 8.7%, below the national average of 12.44%. This quality improvement initiative aimed to reduce avoidable readmissions to below 4.7% by implementing a structured education process using a post-stroke checklist for all stroke admissions.

Aim of the Project: The primary goal was to ensure that all stroke patients received consistent discharge education. This was achieved by introducing the American Heart/Stroke Association Post-Stroke Discharge Checklist, aligning with best practices to standardize patient education.

Review of Evidence: Evidence shows inconsistencies in the discharge process, particularly …

Genomic Biomarkers To Predict Response To Atezolizumab Plus Bevacizumab Immunotherapy In Hepatocellular Carcinoma: Insights From The Imbrave150 Trial, Sun Young Yim, Sung Hwan Lee, Seung-Woo Baek, Bohwa Sohn, Yun Seong Jeong, Sang-Hee Kang, Kena Park, Hyewon Park, Sunyoung S Lee, Ahmed O Kaseb, Young Nyun Park, Sun-Hee Leem, Michael A Curran, Ji Hoon Kim, Ju-Seog Lee

Faculty, Staff and Student Publications

Background/aims: Combination immunotherapy, exemplified by atezolizumab plus bevacizumab, has become the standard of care for inoperable hepatocellular carcinoma (HCC). However, the lack of predictive biomarkers and limited understanding of response mechanisms remain a challenge.

Methods: Using data from the IMbrave150plus cohort, we applied an immune signature score (ISS) predictor to stratify HCC patients treated with atezolizumab plus bevacizumab or with sorafenib alone into potential high and low response groups. By applying multiple statistical approaches including a Bayesian covariate prediction algorithm, we refined the signature to 10 key genes (ISS10) for clinical use while maintaining similar predictive power to the full …

Feasibility Of Quantitative Relaxometry For Prostate Target Localization And Response Assessment In Magnetic Resonance-Guided Online Adaptive Stereotactic Body Radiotherapy, Ergys Subashi, Eve Locastro, Sarah Burleson, Aditya Apte, Michael Zelefsky, Neelam Tyagi

Faculty, Staff and Student Publications

Purpose: Multiparametric magnetic resonance imaging (MRI) is known to provide predictors for malignancy and treatment outcome. The inclusion of these datasets in workflows for online adaptive planning remains under investigation. We demonstrate the feasibility of longitudinal relaxometry in online MR-guided adaptive stereotactic body radiotherapy (SBRT) to the prostate and dominant intra-prostatic lesion (DIL).

Methods: Fifty patients with intermediate-risk prostate cancer were included in the study. The clinical target volume (CTV) was defined as the prostate gland plus 1 cm of seminal vesicles. The gross tumor volume (GTV) was defined as the DIL identified on multiparametric MRI. Online adaptive radiotherapy was …