Digital Commons Network^™

First Endovascular Flow Diversion Treatment For A Supergiant Brain Aneurysm (>110 Mm) In Ethiopia, Wondwossen G. Tekle, Eskedar Kebede Belayneh, Kaleab Tesfaye Eticha, Tariku Assefa Soboka, Michael Yirgalem Teka, Hilina Agonafir Mengistu, Yonatan Wudeneh Mekonnen, Fikru Tsehayneh Kelemu, Bereketeab Ethiopia Bogale, Eden Enyew Zeleke

School of Medicine Publications

In late 2022, a 65‐year‐old woman presented to us with a 3‐day history of ischemic stroke resulting in left facial droop and left‐sided weakness. She had a known giant right internal carotid artery (ICA) aneurysm since 2015 that kept on growing and causing her a myriad of neurologic signs and symptoms including recurrent severe headaches, debilitating tinnitus, right‐sided vision loss (2020), proptosis, ophthalmoplegia, ptosis, and hearing loss. She had allodynia in the right trigeminal nerve distribution, complete right facial palsy, new left lower facial palsy and left hemiparesis (3/5 strength). Unfortunately, local treatment options were unavailable at that time, and …

Can The Discovery Of High-Impact Diagnostics Be Improved By Matching The Sampling Rate Of Clinical Diagnostics To The Frequency Domain Of Diagnostic Information?, Steven W Millward, Peng Wei, David Piwnica-Worms, Seth T Gammon

Faculty, Staff and Student Publications

Over the past 30 years, academic and industrial research investigators have developed molecular reporters to visualize cell death in complex biological systems. In parallel, clinical researchers, chemists, biochemists, and molecular biologists have endeavored to translate these molecular tools into clinical imaging agents. Despite these efforts, there are no clinically approved imaging methodologies with which to image cell death consistently and quantitatively. One reason may reside in the intrinsic mismatch between the sampling frequency of translational molecular imaging and the biochemical kinetics that define cell death. Beyond cell death imaging, many active research programs are now attempting to create translational diagnostic …

Partnering With Social Media Influencers To Promote Hpv Vaccination In Diverse Communities, Amy Leader, Amelia Burke-Garcia, Dasha Afanaseva, Erin Cutroneo, Preethi Selvan, Kayla Madden, Joshua Banks, Angela Sustaita-Ruiz

Department of Medical Oncology Faculty Papers

BACKGROUND: While human papillomavirus (HPV) vaccination is one of the most effective ways to prevent HPV-related cancers, many children and adolescents remain unvaccinated. Resistance often stems from parental vaccine hesitancy and mistrust of the health care system, both of which may be higher in communities of color. Partnering with social media influencers may be an effective method for disseminating health messages. We tested the impact of HPV social media posts developed by influencers on outcomes of knowledge, attitudes, and intentions to vaccinate.

METHODS: Ten social media influencers who identified as African American or Hispanic created posts about the HPV vaccine. …

Sbirt Workflow, Dory Hart Emery, Tory Gamage, Sara Watts, Carol Mcclure, Anne Barker, Liz Berry, Liz Anderson

Operations Transformation

SBIRT stands for Screening – Identify patients with unhealthy substance use. Brief Intervention – A collaborative conversation that raises a person’s awareness of substance use and its consequences and encourages behavioral changes. Referral to Treatment – Actively link patients to resources when needed. It is a substance use screening tool that we ask patients 18 yrs. old and older to fill out once a year when having their CPE or AWV. SBRIT has been recognized as an integral part of primary care. It is an approach that delivers prevention, detection, and early intervention for individuals at risk of substance use …

Midrc Mrale Mastermind Grand Challenge: Ai To Predict Covid Severity On Chest Radiographs, Samuel G. Armato, Karen Drukker, Lubomir Hadjiiski, Carol C. Wu, Jayashree Kalpathy-Cramer, George Shih, Maryellen L. Giger, Natalie Baughan, Benjamin Bearce, Adam E. Flanders, Robyn L. Ball, Kyle J. Myers, Heather M. Whitney, The Midrc Grand Challenge Working Group

Department of Radiology Faculty Papers

PURPOSE: The Medical Imaging and Data Resource Center (MIDRC) mRALE Mastermind Grand Challenge fostered the development of artificial intelligence (AI) techniques for the automated assignment of mRALE (modified radiographic assessment of lung edema) scores to portable chest radiographs from patients known to have COVID-19.

APPROACH: The challenge utilized 2079 training cases obtained from the publicly available MIDRC data commons, with validation and test cases sampled from not-yet-public MIDRC cases that were inaccessible to challenge participants. The reference standard mRALE scores for the challenge cases were established by a pool of 22 radiologist annotators. Using the MedICI challenge platform, participants submitted …

Incident Hearing Loss And Subsequent Risk Of Dementia: The Health And Retirement Study 2010-2018, Jingkai Wei, Youngran Kim, Yike Li, Donglan Zhang, Casey Crump

Faculty, Staff and Student Publications

Background and Objectives

Research Design and Methods

Enriched Pathways In Gut Microbiome Predict Response To Immune Checkpoint Inhibitor Treatment Across Demographic Regions And Various Cancer Types, Xunhui Cai, Jennifer Y Cho, Lijun Chen, Yufeng Liu, Fenghu Ji, Katia Salgado, Siyi Ge, Dehua Yang, Hui Yu, Jianbo Shao, P Andrew Futreal, Boris Sepesi, Don Gibbons, Yaobing Chen, Guoping Wang, Chao Cheng, Meng Wu, Jianjun Zhang, Ansel Hsiao, Tian Xia

Faculty, Staff and Student Publications

Understanding the effect of gut microbiota function on immune checkpoint inhibitor (ICI) responses is urgently needed. Here, we integrated 821 fecal metagenomes from 12 datasets to identify differentially abundant genes and construct random forest models to predict ICI response. Gene markers demonstrated excellent predictive performance, with an average area under the curve (AUC) of 0.810. Pathway analyses revealed that quorum sensing (QS), ABC transporters, flagellar assembly, and amino acid biosynthesis pathways were enriched between responders (R) and non-responders (NRs) across 12 datasets. Furthermore,

The Impact Of An Iron-Rich Diet On Fatigue In Menstruating Women With Non-Anemic Iron Deficiency, Meagan Seraydar, Lauren Latimer, Sam Miragliatto

Department of Nutrition Student Projects

Fatigue without diagnosed anemia is prevalent in menstruating women, with iron deficiency being a potential contributor. While iron supplementation is a standard intervention, dietary sources of iron may offer a sustainable alternative. This study aims to assess the impact of an iron-rich diet on fatigue levels in menstruating women. A 12-week randomized controlled trial (RCT) will be conducted, assigning participants to either an iron-rich diet group or a control group following their usual diet without specific iron recommendations. Fatigue will be measured using the Fatigue Severity Scale (FSS) at baseline, six weeks, and twelve weeks, alongside iron status biomarkers, including …

A Deep Learning Strategy To Identify Cell Types Across Species From High-Density Extracellular Recordings, Maxime Beau, David J Herzfeld, Francisco Naveros, Marie E Hemelt, Federico D'Agostino, Marlies Oostland, Alvaro Sánchez-López, Young Yoon Chung, Michael Maibach, Stephen Kyranakis, Hannah N Stabb, M Gabriela Martínez Lopera, Agoston Lajko, Marie Zedler, Shogo Ohmae, Nathan J Hall, Beverley A Clark, Dana Cohen, Stephen G Lisberger, Dimitar Kostadinov, Court Hull, Michael Häusser, Javier F Medina

Faculty, Staff and Students Publications

High-density probes allow electrophysiological recordings from many neurons simultaneously across entire brain circuits but fail to reveal cell type. Here, we develop a strategy to identify cell types from extracellular recordings in awake animals and reveal the computational roles of neurons with distinct functional, molecular, and anatomical properties. We combine optogenetics and pharmacology using the cerebellum as a testbed to generate a curated ground-truth library of electrophysiological properties for Purkinje cells, molecular layer interneurons, Golgi cells, and mossy fibers. We train a semi-supervised deep learning classifier that predicts cell types with greater than 95% accuracy based on the waveform, discharge …

Multimeric Transcription Factor Bcl11a Utilizes Two Zinc-Finger Tandem Arrays To Bind Clustered Short Sequence Motifs, John R Horton, Meigen Yu, Jujun Zhou, Melody Tran, Rithvi R Anakal, Yue Lu, Robert M Blumenthal, Xiaotian Zhang, Yun Huang, Xing Zhang, Xiaodong Cheng

Faculty, Staff and Student Publications

BCL11A, a transcription factor, is vital for hematopoiesis, including B and T cell maturation and the fetal-to-adult hemoglobin switch. Mutations in BCL11A are linked to neurodevelopmental disorders. BCL11A contains two DNA-binding zinc-finger arrays, low-affinity ZF2-3 and high-affinity ZF4-6, separated by a 300-amino-acid linker. ZF2-3 and ZF4-5 share 73% identity, including five out of six DNA base-interacting residues. These arrays bind similar short sequence motifs in clusters, with the linker enabling a broader binding span. Crystallographic structures of ZF4-6, in complex with oligonucleotides from the β-globin locus region, reveal DNA sequence recognition by residues Asn756 (ZF4), Lys784 and Arg787 (ZF5). A …

Fourth Annual Research Symposium Program With Abstracts, Office Of Research Affairs, Boonshoft School Of Medicine

Boonshoft School of Medicine Research Symposium

The program booklet is a compilation of abstracts from oral and poster presentations at Wright State University's Fourth Annual Boonshoft School of Medicine Medical Research Symposium held on April 16, 2025.

The Effect Of Female Athlete Menstrual Cycles On Their Athletic Performance, Millie Allgood

Honors Theses

Previous research studying the effects of the menstrual cycle on athletic performance has focused on women who do not participate in any athletic activity or participate at a recreational or professional level (Dupuit et al., 2023; Ekenros et al., 2022). Few studies have tested collegiate athletes and those which have examined theoretical effects or psychological impacts rather than direct performance outcomes (Carmichael et al., 2021). It is widely agreed upon that reproductive hormones have broad influences throughout the body including body composition, response to stress, appetite, energy expenditure, and blood-glucose regulation. These factors directly contribute to physiological abilities such as …

Prenatal Exercise: The Importance Of Patient-Provider Communication, Stephanie Patton

Doctorate in Kinesiology

There is a low adherence to prenatal exercise guidelines which may be affected by several barriers including a lack of knowledge regarding the benefits to, safety of, and general guidelines for prenatal exercise. This study sought to investigate the communication that occurs in prenatal appointments and the barriers associated with low exercise rates. Data was collected from 54 pregnant and postpartum women between the ages of 18-40 through an anonymous survey and analyzed through SPSS software. Twenty-four (44.4%) respondents indicated discussion regarding exercise recommendations occurred and five (9.3%) shared that resources for exercise recommendations were provided. Twenty-three (42.6%) participants were …

Developing An Online Community Advisory Board (Cab) Of Parents From Social Media To Co-Design An Human Papillomavirus Vaccine Intervention: Participatory Research Study, Regan M. Murray, Shawn C. Chiang, Ann C. Klassen, Jennifer A. Manganello, Amy E. Leader, Wen-Juo Lo, Philip M. Massey

Department of Medical Oncology Faculty Papers

BACKGROUND: Social media health interventions have grown significantly in recent years. However, researchers are still developing innovative methods to meaningfully engage online communities to inform research activities. Little has been documented describing this approach of using online community advisory boards (CABs) to co-create health communication interventions on social media.

OBJECTIVE: This study describes the formation, engagement, and maintenance of an online CAB focused on co-creating a health education intervention for parents regarding the human papillomavirus (HPV) vaccine. The study provides guiding principles for public health researchers implementing such CABs in future digital health interventions.

METHODS: In May 2020, Twitter was …

Self Perception Of Leadership Styles And Behavior In Secondary School Athletic Trainers, Kelly A. Coleman, Stephanie M. Singe

Internet Journal of Allied Health Sciences and Practice

Purpose: Leadership has been considered an important part of advancing the profession, but investigations into leadership styles of clinically practicing athletic trainers (ATs) are scant, with none in the secondary school setting. The purpose of this study was to explore the leadership styles of secondary school ATs and to determine if differences in leadership style practices exist across demographic characteristics. Methods: We used a cross-sectional web-based survey (Qualtrics, Provo, UT). Leadership style was assessed via the Multifactor Leadership Questionnaire (MLQ)-5x where transformational, transactional, and passive/avoidant leadership behaviors were measured on a five-point Likert scale (0=not at all; 1=once in a …

Impact Of Shift Length On Burnout And Job Or Life Satisfaction Among Allied Healthcare Professionals, Tareq F. Alotaibi, Abdulmohsen Altayyar, Muteb Al Muflih, Nawaf Alqahtani, Naif Alhawiti, Badi A. Alotaibi, Sami Al Ossaimi, Hassan Y. Aljohani, Mobarak Alqahtani, Taha Ismaeil, Mohammed Al Qahtani, Saleh Al Garni

Internet Journal of Allied Health Sciences and Practice

Abstract: Background/Objectives: Healthcare professionals are critical to community well-being, but the 12-versus 8-hour shifts on their stress and burnout are unclear. This study examines the effects of work patterns on the quality of life, job satisfaction, and burnout among allied healthcare professionals. Method: a validated questionnaire was used. A descriptive analysis, independent samples t-test and Mann–Whitney U test were used, and the significance level was p < 0.05. Results: Among the 340 participants, the mean age was 28 years, and most were women (63.5%), single (58%), and worked 8-hour shifts (54.4%). Most (78%) of the participants reported their job satisfaction …

A Review Of Recent Studies On The Pathogenesis Of Systemic Sclerosis: Focus On Fibrosis Pathways, Sergio A. Jimenez, Fabian A. Mendoza, Sonsoles Piera-Velazquez

Scleroderma Center Faculty Papers

Systemic Sclerosis (SSc) is a systemic autoimmune disease of unknown etiology characterized by the development of frequently progressive cutaneous and internal organ fibrosis accompanied by severe vascular alterations. The pathogenesis of SSc is highly complex and, despite extensive investigation, has not been fully elucidated. Numerous studies have suggested that unknown etiologic factors cause multiple alterations in genetically receptive hosts, leading to SSc development and progression. These events may be functionally and pathologically interconnected and include: 1) Structural and functional microvascular and endothelial cell abnormalities; 2) Severe oxidative stress and high reactive oxygen species (3); Frequently progressive cutaneous and visceral fibrosis; …

Integrated Analysis Of Molecular And Clinical Features Associated With Overall Survival In Melanoma Patients With Brain Metastasis, Swaminathan Kumar, Meredith S Pelster, Merve Hasanov, Renato A Guerrieri, Courtney W Hudgens, Debora A Ledesma, Fuchenchu Wang, Grant M Fischer, Julie M Simon, Lauren E Haydu, Kalman V Katlowitz, Y N Vashisht Gopal, Jennifer L Mcquade, Lawrence N Kwong, Jason T Huse, Alexander J Lazar, Michael T Tetzlaff, Jeffrey E Gershenwald, Aron Y Joon, Ken Chen, Ziyi Li, Prahlad T Ram, Sherise D Ferguson, Michael A Davies

Faculty, Staff and Student Publications

Melanoma brain metastases (MBMs) are diagnosed in up to 60% of metastatic melanoma patients. Previous studies have identified clinical factors that correlate with overall survival (OS) after MBM diagnosis. However, molecular and immune features associated with OS are poorly understood. An improved understanding of the molecular and immune correlates of OS could provide insights into MBM patient outcomes and guide therapeutic development. Thus, we analyzed clinical features and outcomes of 74 melanoma patients who underwent surgical resection (via craniotomy) between 1991 and 2015 at our institution with RNA-seq data generated from their MBMs. The median post-operative OS was 8.6 months …

Implementation Of The Modified Early Obstetric Warning System (Meows) In Obstetric Patients Within A Level Iv Maternal Care Facility, Mei M. Stalder

Student Scholarly Projects

Practice Problem: Incidences of increasing maternal morbidity and mortality are often preceded by a period of unrecognized deterioration. The lack of an obstetric early warning system in a high-risk Level IV Maternal Care Facility further contributed to delayed identification and intervention of deteriorating mothers.

PICOT: The PICOT question that guided this DNP project was, in obstetric patients, 18-years or older (P), does the Modified Early Obstetric Warning System (MEOWS) (I), compared to current standard practice (C), affect the number of patients transferred to the ICU (O) within a six-week time frame (T)?

Evidence: Nine evidence-based articles were included in this …

Machine Learning To Optimize Use Of Natriuretic Peptides In The Diagnosis Of Acute Heart Failure, Dimitrios Doudesis, Kuan Ken Lee, Mohamed Anwar, Adam J. Singer, Judd E. Hollander, Camille Chenevier-Gobeaux, Yann-Erick Claessens, Desiree Wussler, Dominic Weil, Nikola Kozhuharov, Ivo Strebel, Zaid Sabti, Christopher Defilippi, Stephen Seliger, Evandro Tinoco Mesquita, Jan C. Wiemer, Martin Möckel, Joel Coste, Patrick Jourdain, Komukai Kimiaki, Michihiro Yoshimura, Irwani Ibrahim, Shirley Beng Suat Ooi, Win Sen Kuan, Alfons Gegenhuber, Thomas Mueller, Olivier Hanon, Jean-Sébastien Vidal, Peter Cameron, Louisa Lam, Ben Freedman, Tommy Chung, Sean P. Collins, Christopher J. Lindsell, David E. Newby, Alan G. Japp, Anoop S. V. Shah, Humberto Villacorta, A. Mark Richards, John J V Mcmurray, Christian Mueller, James L. Januzzi, Nicholas L. Mills, Gordon Moe, Carlos Fernando, Hanna K. Gaggin, Antoni Bayes-Genis, Roland Rj Van Kimmenade, Yigal Pinto, Joost H. W. Rutten, Anton H. Van Den Meiracker, Luna Gargani, Nicola R. Pugliese, Pemberton Christopher, Michael Neumaier, Michael Behnes, Ibrahim Akin, Michele Bombelli, Guido Grassi, Peiman Nazerian, Giovanni Albano, Philipp Bahrmann

Department of Emergency Medicine Faculty Papers

AIMS: B-type natriuretic peptide (BNP) and mid-regional pro-atrial natriuretic peptide (MR-proANP) testing are guideline-recommended to aid in the diagnosis of acute heart failure. Nevertheless, the diagnostic performance of these biomarkers is uncertain.

METHODS AND RESULTS: We performed a systematic review and individual patient-level data meta-analysis to evaluate the diagnostic performance of BNP and MR-proANP. We subsequently developed and externally validated a decision-support tool called CoDE-HF that combines natriuretic peptide concentrations with clinical variables using machine learning to report the probability of acute heart failure. Fourteen studies from 12 countries provided individual patient-level data in 8493 patients for BNP and 3899 …

Machine Learning To Optimize Use Of Natriuretic Peptides In The Diagnosis Of Acute Heart Failure, Dimitrios Doudesis, Kuan Ken Lee, Mohamed Anwar, Adam J. Singer, Judd Hollander, Md, Camille Chenevier-Gobeaux, Yann-Erick Claessens, Desiree Wussler, Dominic Weil, Nikola Kozhuharov, Ivo Strebel, Zaid Sabti, Christopher Defilippi, Stephen Seliger, Evandro Tinoco Mesquita, Jan C. Wiemer, Martin Möckel, Joel Coste, Patrick Jourdain, Komukai Kimiaki, Michihiro Yoshimura, Irwani Ibrahim, Shirley Beng Suat Ooi, Win Sen Kuan, Alfons Gegenhuber, Thomas Mueller, Olivier Hanon, Jean-Sébastien Vidal, Peter Cameron, Louisa Lam, Ben Freedman, Tommy Chung, Sean P. Collins, Christopher J Lindsell, David E. Newby, Alan G. Japp, Anoop S V Shah, Humberto Villacorta, A Mark Richards, John J V Mcmurray, Christian Mueller, James L. Januzzi, Nicholas L. Mills

Department of Emergency Medicine Faculty Papers

AIMS: B-type natriuretic peptide (BNP) and mid-regional pro-atrial natriuretic peptide (MR-proANP) testing are guideline-recommended to aid in the diagnosis of acute heart failure. Nevertheless, the diagnostic performance of these biomarkers is uncertain.

METHODS AND RESULTS: We performed a systematic review and individual patient-level data meta-analysis to evaluate the diagnostic performance of BNP and MR-proANP. We subsequently developed and externally validated a decision-support tool called CoDE-HF that combines natriuretic peptide concentrations with clinical variables using machine learning to report the probability of acute heart failure. Fourteen studies from 12 countries provided individual patient-level data in 8493 patients for BNP and 3899 …

An Uncharacteristic Case Presentation Of Functional Vision Disorder, Ramandeep Kaur Od, Theresa Zerilli-Zavgorodni Od, Nancy Shenouda-Awad Od

Optometric Clinical Practice

Background: Functional Vision Disorder (FVD), also commonly referred to as functional vision loss (FVL) or non-organic vision loss (NOVL), is defined as a visual acuity (VA) loss and/or visual field (VF) loss, without any identifiable ocular or cortical pathology. Many clinicians look at FVD as a diagnosis of exclusion and while it is imperative to rule out organic pathology, FVD diagnosis must be supported by clinical findings that prove normal visual function. Incorporating supplementary tests specific for demonstrating the integrity of the visual system and the non-organic nature of the symptoms will allow clinicians to be more confident when diagnosing …

Clinical Decision-Making And Artificial Intelligence: The Role Of Large Language Models In Medicine, Richa Bhasin, Wassim El-Sayed, Kassim Salami, Mura Abdul-Nabi, Ahmed Elashmawy, M. Ellis Jaruzel Ii

Clinical Research in Practice: The Journal of Team Hippocrates

A clinical decision report using:

Goh E, Gallo R, Hom J, et al. Large Language Model Influence on Diagnostic Reasoning: A Randomized Clinical Trial. JAMA Netw Open. 2024;7(10):e2440969. https://doi.org/10.1001/jamanetworkopen.2024.40969

to explore the role of artificial intelligence in clinical settings.

Life Course Analysis: How Social Needs And Family Dynamics Impact Clinical Decision-Making, Vito Agrusa, Laila N. Abdallah, Bryen Turco

Clinical Research in Practice: The Journal of Team Hippocrates

The authors explore Life Course Analysis and how social needs (including pet care), changing demographics, and loneliness affect inpatient hospitalization and clinical decision making.

Total Intestinal Atresia In A Neonate: A Case Report., Cory Nonnemacher, Seth Saylors, Naomi-Liza Denning, Vatche Melkonian, Pablo Aguayo

Manuscripts, Articles, Book Chapters and Other Papers

Intestinal atresias are a common cause of neonatal intestinal obstruction. An extremely rare variant is total intestinal atresia, where no lumen is appreciable from the duodenum through the colon. We describe a case of a 33-week female who was born at an outside hospital and underwent laparotomy for concern for intrauterine perforation and proximal intestinal obstruction. Laparotomy revealed a duodenal perforation and an atresia in the proximal jejunum. Resection of this segment revealed no intestinal lumen distally, and the patient was left in discontinuity and transferred to our tertiary children's hospital. Repeat laparotomy revealed atretic bowel with no lumen through …

Natural Killer Cells’ Functional Impairment Drives The Immune Escape Of Pre-Malignant Clones In Early-Stage Myelodysplastic Syndromes, Juan Jose Rodriguez-Sevilla, Irene Ganan-Gomez, Bijender Kumar, Natthakan Thongon, Feiyang Ma, Kelly S Chien, Yi J Kim, Hui Yang, Sanam Loghavi, Roselyn Tan, Vera Adema, Zongrui Li, Tomoyuki Tanaka, Hidetaka Uryu, Rashmi Kanagal-Shamanna, Gheath Al-Atrash, Rafael Bejar, Pinaki Prosad Banerjee, Sophia Lynn Cha, Guillermo Montalban-Bravo, Max Dougherty, Maria Claudina Fernandez Laurita, Noelle Wheeler, Baosen Jia, Eirini P Papapetrou, Franco Izzo, Daniela E Dueñas, Salome Mcallen, Yiqian Gu, Gabriele Todisco, Francesca Ficara, Matteo Giovanni Della Porta, Abhinav Jain, Koichi Takahashi, Karen Clise-Dwyer, Stephanie Halene, Maria Teresa Sabrina Bertilaccio, Guillermo Garcia-Manero, May Daher, Simona Colla

Faculty, Staff and Student Publications

Dissecting the preneoplastic disease states' biological mechanisms that precede tumorigenesis can lead to interventions that can slow down disease progression and/or mitigate disease-related comorbidities. Myelodysplastic syndromes (MDS) cannot be cured by currently available pharmacological therapies, which fail to eradicate aberrant hematopoietic stem cells (HSCs), most of which are mutated by the time of diagnosis. Here, we sought to elucidate how MDS HSCs evade immune surveillance and expand in patients with clonal cytopenias of undetermined significance (CCUS), the pre-malignant stage of MDS. We used multi-omic single-cell approaches and functional in vitro studies to show that immune escape at disease initiation is …

Self-Management Program For Dyslipidemia: Impact On Health Behaviors To Modifiable Risk Factors And Compliance, Michael S. Lespron

Student Scholarly Projects

Practice Problem: Dyslipidemia management requires participation by both the healthcare provider and the patient alike. The inability to control lipid levels, including modifiable risk factors, can lead to cardiovascular disease which is the leading cause of death globally.

PICOT: In patients at a federally qualified health center that are 18-99 years of age and have a diagnosis of any type of dyslipidemia (P), does the implementation of a self-management program (SMP) via continued access to video recordings, take-home booklets, and biweekly follow-up calls (I) compared to current practices (C), increase compliance to medication adherence and lifestyle modification recommendations (O) within …

Effects Of Metformin Use On Aneurysmal Subarachnoid Hemorrhage Outcomes, Angel Bueno, Andrea Becerril-Gaitan, Collins Mokua, Kristina Ramirez-Garcia, Justin Nguyen, Faris Shaker, Tien Nguyen, Antonio Dono, Spiros Blackburn, Peng Roc Chen, Mark Dannenbaum, H Alex Choi, Arthur L Day, Jacques J Morcos, Ching-Jen Chen

Faculty, Staff and Student Publications

Background: Metformin is widely prescribed and has neuroprotective effects in animals, but its impact on brain injury after aneurysmal subarachnoid hemorrhage (aSAH) in humans is unclear.

Methods: This single-center retrospective review assessed patients with aSAH from 2009 to 2023, categorizing them based on pre-admission metformin use. The primary outcome was delayed cerebral ischemia (DCI), while secondary outcomes included in-hospital mortality, rebleeding, angiographic cerebral vasospasm (CVS), and favorable modified Rankin Scale (mRS) scores at discharge and the 3-month follow-up. Outcomes were analyzed using logistic regression. Sensitivity analysis was performed after excluding patients receiving comfort care.

Results: A total of 900 patients …

Time Required To Implement A Computerized Patient Decision Aid For Lupus In Outpatient Visits, Nathan W Carroll, Aizhan Karabukayeva, Larry R Hearld, Diane Kamen, Alfred H J Kim, Sonali Narain, Narender Annapureddy, Zineb Aouhab, Maureen Mcmahon, Vikas Majithia, Cathy Lee Ching, Winn Chatham, Jasvinder A Singh

Faculty, Staff and Students Publications

BACKGROUND: Patient decision aids have the potential to lower decision conflict for patients and to improve patient-physician communication. However, uptake of decision aids has been poor, in part because the time required to incorporate these into clinical practice is not well understood.

OBJECTIVE: To estimate the time required for a rheumatology clinic to implement a validated decision aid for patients with lupus.

METHODS: Using a cohort of eight implementation sites, study investigators identified the activities required to administer a decision aid. Site coordinators embedded within the clinics timed the duration of each activity. To estimate the effect of viewing the …

Allosteric Targeted Drug Delivery For Enhanced Blood-Brain Barrier Penetration Via Mimicking Transmembrane Domain Interactions, Kaicheng Tang, Zhongjie Tang, Miaomiao Niu, Zuyin Kuang, Weiwei Xue, Xinyu Wang, Xinlong Liu, Yang Yu, Seongdong Jeong, Yifan Ma, Annette Wu, Betty Y S Kim, Wen Jiang, Zhaogang Yang, Chong Li

Faculty, Staff and Student Publications

Current strategies for active targeting in the brain are entirely based on the effective interaction of the ligand with the orthosteric sites of specific receptors on the blood-brain barrier (BBB), which is highly susceptible to various pathophysiological factors and limits the efficacy of drug delivery. Here, we propose an allosteric targeted drug delivery strategy that targets classical BBB transmembrane receptors by designing peptide ligands that specifically bind to their transmembrane domains. This strategy prevents competitive interference from endogenous ligands and antibodies by using the insulin receptor and integrin α