Digital Commons Network^™

Navigating P2y12 Inhibition In The Labyrinth Of Cardio-Oncology Care: Cangrelor Bridging In Patients With Cancer, Abdelrahman Ali, Poonam Jewani, Max Bourdillon, Efstratios Koutroumpakis, Shaden Khalaf, Konstantinos Charitakis, Kara Thompson, Konstantinos Marmagkiolis, Anita Deswal, Cezar Iliescu

Faculty, Staff and Student Publications

Cangrelor, a potent intravenous P2Y12 platelet inhibitor, has demonstrated effectiveness in reducing ischemic events without a corresponding increase in severe bleeding during percutaneous coronary intervention, as evidenced by the CHAMPION-PHOENIX trial. Its off-label role as a bridging antiplatelet agent for patients facing high thrombotic risks who must temporarily stop oral P2Y12 inhibitor therapy further underscores its clinical utility. This is the first case series to shed light on the application of cangrelor in cancer patients needing to pause dual antiplatelet therapy for a range of medical interventions, marking it as a pioneering effort in this domain. The inclusion of patients …

Optimizing Delirium Care In The Era Of Age-Friendly Health System, Min Ji Kwak, Sharon K Inouye, Donna M Fick, Alice Bonner, Terry Fulmer, Emily Carter, Victor Tabbush, Kerri Maya, Nicholas Reed, Christine Waszynski, Esther S Oh

Faculty, Staff and Student Publications

Delirium is a significant geriatric condition associated with adverse clinical and economic outcomes. The cause of delirium is usually multifactorial, and person-centered multicomponent approaches for proper delirium management are required. In 2017, the John A. Hartford Foundation and the Institute for Healthcare Improvement (IHI) launched a national initiative, Age-Friendly Health System (AFHS), promoting the use of a framework called 4Ms (what matters, medication, mentation, and mobility). The 4Ms framework's primary goal is to provide comprehensive and practical person-centered care for older adults and it aligns with the core concepts of optimal delirium management. In this special article, we demonstrate how …

Differential Regulation Of Tissue-Resident And Blood-Derived Macrophages In Models Of Autoimmune And Traumatic Peripheral Nerve Injury, Alina Sprenger-Svačina, Martin K R Svačina, Tong Gao, Rodney M Ritzel, Louise D Mccullough, Kazim A Sheikh, Gang Zhang

Faculty, Staff and Student Publications

Introduction: The current study focuses on understanding the functional role of different subsets of endoneurial macrophages in autoimmune polyneuropathies (AP) and traumatic peripheral nerve injury (TPNI), which holds potential for clinical application. Recent studies have advanced our understanding of the diverse origins of macrophages within peripheral nerves. However, there remains a gap in our knowledge regarding how endoneurial macrophages from different origins affect disease progression in AP versus TPNI.

Methods: Flow cytometry was utilized to analyze macrophage phenotypes, including polarization states, cytokine production, and myelin phagocytosis in animal models of AP and TPNI. This study focuses on two distinct origins …

High Wall Shear Stress-Dependent Podosome Formation In A Novel Murine Model Of Intracranial Aneurysm, Jiayi Lu, Mengjun Dai, Yuanqing Yan, Louise D Mccullough, Yan-Ning Rui, Zhen Xu

Faculty, Staff and Student Publications

High wall shear stress (HWSS) contributes to intracranial aneurysm (IA) development. However, the underlying molecular mechanisms remain unclear, in part due to the lack of robust animal models that develop IAs in a HWSS-dependent manner. The current study established a new experimental IA model in mice that was utilized to determine HWSS-triggered downstream mechanisms. By a strategic combination of HWSS and low dose elastase, IAs were induced with a high penetrance in hypertensive mice. In contrast, no IAs were observed in control groups where HWSS was absent, suggesting that our new IA model is HWSS-dependent. IA outcomes were assessed by …

Prognostic Value Of The 5-Sense Score To Predict Focality Of The Seizure-Onset Zone As Assessed By Stereoelectroencephalography: A Prospective International Multicentre Validation Study, Alexandra Astner-Rohracher, Alyssa Ho, John Archer, Fabrice Bartolomei, Milan Brazdil, Melita Cacic Hribljan, James Castellano, Irena Dolezalova, Martin Ejler Fabricius, Mercedes Garcés-Sanchez, Kahina Hammam, Akio Ikeda, Kristin Ikeda, Philippe Kahane, Giridhar Kalamangalam, Gudrun Kalss, Mays Khweileh, Katsuya Kobayashi, Patrick Kwan, Joshua Andrew Laing, Markus Leitinger, Samden Lhatoo, Julia Makhalova, Aileen Mcgonigal, Iona Mindruta, Mary Margaret Mizera, Andrew Neal, Irina Oane, Prachi Parikh, Piero Perucca, Francesca Pizzo, Rodrigo Rocamora, Philippe Ryvlin, Victoria San Antonio Arce, Stephan Schuele, Andreas Schulze-Bonhage, Ana Suller Marti, Alexandra Urban, Vincente Villanueva, Laura Vilella Bertran, Benjamin Whatley, Sandor Beniczky, Eugen Trinka, Georg Zimmermann, Birgit Frauscher

Faculty, Staff and Student Publications

Introduction: Epilepsy surgery is the only curative treatment for patients with drug-resistant focal epilepsy. Stereoelectroencephalography (SEEG) is the gold standard to delineate the seizure-onset zone (SOZ). However, up to 40% of patients are subsequently not operated as no focal non-eloquent SOZ can be identified. The 5-SENSE Score is a 5-point score to predict whether a focal SOZ is likely to be identified by SEEG. This study aims to validate the 5-SENSE Score, improve score performance by incorporating auxiliary diagnostic methods and evaluate its concordance with expert decisions.

Methods and analysis: Non-interventional, observational, multicentre, prospective study including 200 patients with drug-resistant …

Optimizing Medication Querying Using Ontology-Driven Approach With Omop: With An Application To A Large-Scale Covid-19 Ehr Dataset, Xiaojin Li, Yan Huang, Licong Cui, Shiqiang Tao, Guo-Qiang Zhang

Faculty, Staff and Student Publications

Efficient querying for medication information in Electronic Health Record (EHR) datasets is crucial for effective patient care and clinical research. To address the complexity and data volume challenges involved in efficient medication information retrieval, we propose an ontology-driven medication query (ODMQ) optimization approach, leveraging the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM). Integrating semantic ontology structures from the OMOP CDM can help enhance query accuracy and efficiency by broadening the scope of relevant medication terms like drug names, National Drug Codes, and generics, resulting in more comprehensive query outcomes than traditional methods. ODMQ significantly reduces manual search time …

A Web-Based Interface For Visualizing And Documenting Seeg Strategic Planning (Wisp): Development And Qualitative Evaluation, Wei-Chun Chou, Johnson P Hampson, Antarr T Byrd, Samden D Lhatoo, Guo-Qiang Zhang, Shiqiang Tao

Faculty, Staff and Student Publications

WISP stands as an efficacious solution to the challenges associated with Stereoelectroencephalography (SEEG) strategic planning, offering lightweight and interactive web interfaces for rendering multiple brain views. These interfaces facilitate collaborative engagement among care team members across various disciplines during patient case conferences and SEEG strategic planning sessions. Moreover, WISP incorporates a collaborative electrode and electrode group library, serving as a standardized repository of knowledge. The application enables seamless conversion of case conference outcomes and SEEG plans into images and PDF files, with transmission to Electronic Health Record (EHR) systems through a customized HL7 engine. The initial assessment findings demonstrate WISP …

Characterizing Treatment Non-Responders And Responders In Completed Alzheimer's Disease Clinical Trials, Dulin Wang, Yaobin Ling, Kristofer Harris, Paul E Schulz, Xiaoqian Jiang, Yejin Kim

Faculty, Staff and Student Publications

Characterizing differential responses to Alzheimer's disease (AD) drugs will provide better insights into personalized treatment strategies. Our study aims to identify heterogeneous treatment effects and pre-treatment features that moderate the treatment effect of Galantamine, Bapineuzumab, and Semagacestat from completed trial data. The causal forest method can capture heterogeneity in treatment responses. We applied causal forest modeling to estimate the treatment effect and identify efficacy moderators in each trial. We found several patient's pretreatment conditions that determined treatment efficacy. For example, in Galantamine trials, whole brain volume (1092.54 vs. 1060.67 ml, P < .001) and right hippocampal volume (2.43e-3 vs. 2.79e-3, P < .001) are significantly different between responsive and non-responsive subgroups. Overall, our implementation of causal forests in AD clinical trials reveals the heterogeneous treatment effects and different moderators for AD drug responses, highlighting promising personalized treatment based on patient-specific characteristics in AD research and drug development.

The Feasibility Of Health Professional Student Delivered Social Visits For Stroke Survivors With Loneliness, Jason Burnett, Jordan Broussard, Bronson Ciavarra, Louisa Smitherman, Mary Li, Emma Thames, Sharon Zachariah, Grace Kim, Rachel Pijnnaken, Hannah Zeller, John Halphen, Sean I Savitz, Namkee Choi, Jennifer E S Beauchamp

Faculty, Staff and Student Publications

Objectives: To examine the feasibility of a social phone call program to address social isolation and loneliness in stroke survivors.

Materials and methods: We paired 14 lonely community-living stroke survivors with 14 health professional students for 6-weekly unstructured social phone calls. Feasibility data and measures of social isolation, loneliness and other psychosocial metrics were collected pre- and post-intervention. Students journaled following each unstructured call to capture the informal conversation and their sentiments.

Results: Sixty-two percent of the targeted sample was interested. Fourteen eligible and interested participants were enrolled. The 13 (93%) participants completing all calls and surveys were an average …

Double Hit In Clear-Cell Renal Cell Carcinoma With Germline Pathogenic Atm Mutation And Somatic Vhl Mutation, Kok Hoe Chan, Nicolas Duque Clavijo, Gustavo Ayala, Ryan Hall, Curtis Wray, Putao Cen

Faculty, Staff and Student Publications

While renal cell carcinoma (RCC) is often linked to smoking, obesity, and hypertension, hereditary forms also account for about 3% of RCC cases. Notably, NCCN guidelines identify 7 major hereditary syndromes associated with an increased RCC risk. Inherited mutations in DNA repair genes, such as ATM, BRCA, and TP53, significantly increase the risk of various cancers. Biallelic pathogenic mutations in ATM cause Ataxia-Telangiectasia (A-T) syndrome, while heterozygous germline pathogenic ATM mutations, present in about 1% of the population, also elevate cancer risk. RCC has not traditionally been associated with germline pathogenic ATM mutations, only limited retrospective analyses have identified such …

Epidemiology Of Invasive Candidiasis, Derek J Bays, Emily N Jenkins, Meghan Lyman, Tom Chiller, Nora Strong, Luis Ostrosky-Zeichner, Martin Hoenigl, Peter G Pappas, George R Thompson Iii

Faculty, Staff and Student Publications

Invasive candidiasis (IC) is an increasingly prevalent, costly, and potentially fatal infection brought on by the opportunistic yeast, Candida. Previously, IC has predominantly been caused by C. albicans which is often drug susceptible. There has been a global trend towards decreasing rates of infection secondary to C. albicans and a rise in non-albicans species with a corresponding increase in drug resistance creating treatment challenges. With advances in management of malignancies, there has also been an increase in the population at risk from IC along with a corresponding increase in incidence of breakthrough IC infections. Additionally, the emergence of …

Effects Of Firm Life Cycle On Matching And Accrual Quality, Ana Mariella Bandeira, José Elias Feres De Almeida

School of Accountancy Faculty Publications

This study examines the effects of life cycle stages on the quality of revenue-expense matching and accruals of Brazilian public listed companies, and how matching affects accrual quality. Studies on the effects of firm life cycle stages on revenue-expense matching are still incipient. Furthermore, there is no prior study interconnecting the two conceptual and empirical models in a joint perspective. The study brings evidence that firm life cycle is a relevant factor in the analysis of the association between revenues and expenses and accruals with operating cash flows. This association, if properly carried out by firms, can benefit investors, analysts, …

Identifying Missing Is-A Relations In Snomed Ct With Fine-Tuned Pre-Trained Language Models And Non-Lattice Subgraphs, Xubing Hao, Rashmie Abeysinghe, Jay Shi, Guo-Qiang Zhang, Licong Cui

Faculty, Staff and Student Publications

Ensuring the completeness of IS-A relations in SNOMED CT is crucial for maintaining its accuracy in clinical applications. In this study, we propose a hybrid approach leveraging non-lattice subgraphs and pre-trained language models (PLMs) to identify missing IS-A relations in SNOMED CT. We fine-tuned four BERT-based models: BERT, DistillBERT, DeBERTa, and BioClinicalBERT, and four generative large language models (LLMs): BioMistral, Llama3, Gemma2, and Phi-4. Missing IS-A relations were identified through consensus predictions by all eight models. De-BERTa achieved the best performance (precision: 0.96, recall: 0.97, F1-score: 0.965) for IS-A relation prediction. Our approach identified 678 potential missing IS-A relations in …

Relational Database-Based Resource-Provenance Visualization Engine: With An Application To Bican Data, Xiaojin Li, Yan Huang, Lydia Ng, Kimberly A Smith, Wei-Chun Chou, Rashmie Abeysinghe, Ling Tong, Shiwe Lin, Licong Cui, Shiqiang Tao, Guo-Qiang Zhang

Faculty, Staff and Student Publications

Provenance tracking ensures data integrity, security, and accountability in healthcare and biomedical research. As biomedical data grows in complexity, comprehensive tracking mechanisms are needed to maintain reproducibility, transparency, and compliance with regulatory standards, such as GDPR. Traditional log-based and ontology-based approaches capture and standardize data lineage, while cryptographic and blockchain-based methods enhance security and verifiability. However, challenges remain in scalability, security, and usability. To address these, we introduce the Resource-Provenance Visualization Engine (RPVE), an advanced system integrating data lineage tracking and interactive visualization. RPVE employs the Randomized N-gram Hashing Identifier (NHash ID) to establish precise data links within the BRAIN …

Diagnostic Value Of Soluble Interleukin-2 Receptor In Patients Suffering Neurosarcoidosis: A Systematic Review, Aditya Chanpura, Rajesh K Gupta, Shitiz K Sriwastava, Jan Rahmig

Faculty, Staff and Student Publications

Background: Neurosarcoidosis is an inflammatory granulomatous disease. Up to 25% of occult sarcoidosis affecting the nervous system are only detected by autopsy. In addition, in recent years the suspicion arose that the soluble Interleukin-2 Receptor (sIL-2R) might be useful in differentiating between neurosarcoidosis and neurosarcoidosis-like diseases such as neurotuberculosis, multiple sclerosis, or cerebral lymphoma.

Objectives: Therefore, we aimed to systematically review randomized controlled trials (RCT), observational studies, and case-control studies evaluating sIL-2R levels in neurosarcoidosis patients.

Design: For this systematic review, a comprehensive literature search of electronic databases including EMBASE, The Web Of Science, The Cochrane Library, MEDLINE, and Google …

Editorial: Telestroke And Stroke Care Networks Beyond The Comprehensive Stroke Center, Amanda Jagolino-Cole, Alicia Zha, Imama A Naqvi, Jennifer J Majersik

Faculty, Staff and Student Publications

No abstract provided.

Optimizing Educational Environments In Stroke And Neurovascular Fields, Amanda L Jagolino-Cole, Devin L Brown, Nicole Chiota-Mccollum, Andrew M Southerland, David S Liebeskind

Faculty, Staff and Student Publications

No abstract provided.