Digital Commons Network^™

The Role Of Family Support In The Self-Rated Health Of Older Adults In Eastern Nepal: Findings From A Cross-Sectional Study, Ivan Fumagalli, Stefano Pagani, Christian Vergara, Luca Dede', Dilachew A Adebo, Maurizio Del Greco, Antonio Frontera, Giovanni Battista Luciani, Gianluca Pontone, Roberto Scrofani, Alfio Quarteroni

Faculty, Staff and Student Publications

BACKGROUND AND OBJECTIVE: Computational models of the cardiovascular system allow for a detailed and quantitative investigation of both physiological and pathological conditions, thanks to their ability to combine clinical-possibly patient-specific-data with physical knowledge of the processes underlying the heart function. These models have been increasingly employed in clinical practice to understand pathological mechanisms and their progression, design medical devices, support clinicians in improving therapies. Hinging upon a long-year experience in cardiovascular modeling, we have recently constructed a computational multi-physics and multi-scale integrated model of the heart for the investigation of its physiological function, the analysis of pathological conditions, and to …

Leveraging Trop2 Antibody-Drug Conjugates In Solid Tumors, Blessie Elizabeth Nelson, Funda Meric-Bernstam

Faculty, Staff and Student Publications

Antibody-drug conjugates (ADCs) have become the cornerstone of effective therapeutics in solid and hematological malignancies by harnessing potent cytotoxic payloads with targeted tumoricidal delivery. Since the monumental shift occurred with HER2-targeted ADCs, the discovery of the TROP2 antigen has revolutionized the landscape of ADC development. Moving beyond the traditional ADC design, multiple novel ADCs have successfully shaped and improved survival outcomes in patients with various tumor histologies. Here we review and contrast the clinical impact of the well-known TROP2 ADCs currently in clinical use. We also shed light on upcoming investigational TROP2 ADCs showing promise with novel ADC platforms.

Transmembrane Stem Factor Nanodiscs Enhanced Revascularization In A Hind Limb Ischemia Model In Diabetic, Hyperlipidemic Rabbits, Eri Takematsu, Miles Massidda, Gretchen Howe, Julia Goldman, Patricia Felli, Lei Mei, Gregory Callahan, Andrew D Sligar, Richard Smalling, Aaron B Baker

Faculty, Staff and Student Publications

Therapies to revascularize ischemic tissue have long been a goal for the treatment of vascular disease and other disorders. Therapies using stem cell factor (SCF), also known as a c-Kit ligand, had great promise for treating ischemia for myocardial infarct and stroke, however clinical development for SCF was stopped due to toxic side effects including mast cell activation in patients. We recently developed a novel therapy using a transmembrane form of SCF (tmSCF) delivered in lipid nanodiscs. In previous studies, we demonstrated tmSCF nanodiscs were able to induce revascularization of ischemia limbs in mice and did not activate mast cells. …

Patient-Derived Models Of Cancer In The Nci Pdmc Consortium: Selection, Pitfalls, And Practical Recommendations, Amber N Habowski, Deepthi P Budagavi, Sandra D Scherer, Arin B Aurora, Giuseppina Caligiuri, William F Flynn, Ellen M Langer, Jonathan R Brody, Rosalie C Sears, Giorgia Foggetti, Anna Arnal Estape, Don X Nguyen, Katerina A Politi, Xiling Shen, David S Hsu, Donna M Peehl, John Kurhanewicz, Renuka Sriram, Milagros Suarez, Sophie Xiao, Yuchen Du, Xiao-Nan Li, Nora M Navone, Estefania Labanca, Christopher D Willey

Faculty, Staff and Student Publications

For over a century, early researchers sought to study biological organisms in a laboratory setting, leading to the generation of both in vitro and in vivo model systems. Patient-derived models of cancer (PDMCs) have more recently come to the forefront of preclinical cancer models and are even finding their way into clinical practice as part of functional precision medicine programs. The PDMC Consortium, supported by the Division of Cancer Biology in the National Cancer Institute of the National Institutes of Health, seeks to understand the biological principles that govern the various PDMC behaviors, particularly in response to perturbagens, such as …

Ahp Db: A Reference Database Of Proteins In The Human Aqueous Humor, Tae Jin Lee, Arnav Goyal, Garrett Jones, Joshua Glass, Vishal Doshi, Kathryn Bollinger, Lane Ulrich, Saleh Ahmed, Sai Karthik Kodeboyina, Amy Estes, Marc Töteberg-Harms, Wenbo Zhi, Shruti Sharma, Ashok Sharma

Faculty, Staff and Student Publications

The aqueous humor (AH) is a low-viscosity biofluid that continuously circulates from the posterior chamber to the anterior chamber of the eye. Recent advances in high-resolution mass-spectrometry workflows have facilitated the study of proteomic content in small-volume biofluids like AH, highlighting the potential clinical implications of the AH proteome. Nevertheless, in-depth investigations into the role of AH proteins in ocular diseases have encountered challenges due to limited accessibility to these workflows, difficulties in large-scale AH sample collection and the absence of a reference AH proteomic database. In response to these obstacles, and to promote further research on the involvement of …

A Generalized Phase 1-2-3 Design Integrating Dose Optimization With Confirmatory Treatment Comparison, Yong Zang, Peter F Thall, Ying Yuan

Faculty, Staff and Student Publications

A generalized phase 1-2-3 design, Gen 1-2-3, that includes all phases of clinical treatment evaluation is proposed. The design extends and modifies the design of Chapple and Thall (2019), denoted by CT. Both designs begin with a phase 1-2 trial including dose acceptability and optimality criteria, and both select an optimal dose for phase 3. The Gen 1-2-3 design has the following key differences. In stage 1, it uses phase 1-2 criteria to identify a set of candidate doses rather than 1 dose. In stage 2, which is intermediate between phase 1-2 and phase 3, it randomizes additional patients fairly …

Important Features For Protein Foldings In Two Acyl Carrier Proteins From Enterococcus Faecalis, Seoyeong Yoo, Jiwon Yeon, Eunhee Kim, Yangmee Kim

Faculty, Staff and Student Publications

The emergence of multi-drug resistant Enterococcus faecalis raises a serious threat to global public health. E. faecalis is a gram-positive intestinal commensal bacterium found in humans. E. faecalis can endure extreme environments such as high temperature, pressure, and high salt, which facilitates them to cause infection in hospitals. E. faecalis has two acyl carrier proteins, AcpA (EfAcpA) in de novo fatty acid synthesis (FAS) and AcpB (EfAcpB) which utilizes exogenous fatty acids. Previously, we determined the tertiary structures of these two ACPs and investigated their structure-function relationships. Solution structures revealed that overall folding of these two ACPs is similar to …

Curcumin And Resveratrol: Nutraceuticals With So Much Potential For Pseudoachondroplasia And Other Er-Stress Conditions, Karen L Posey

Faculty, Staff and Student Publications

Natural products with health benefits, nutraceuticals, have shown considerable promise in many studies; however, this potential has yet to translate into widespread clinical use for any condition. Notably, many drugs currently on the market, including the first analgesic aspirin, are derived from plant extracts, emphasizing the historical significance of natural products in drug development. Curcumin and resveratrol, well-studied nutraceuticals, have excellent safety profiles with relatively mild side effects. Their long history of safe use and the natural origins of numerous drugs contrast with the unfavorable reputation associated with nutraceuticals. This review aims to explore the nutraceutical potential for treating pseudoachondroplasia, …

Reconstitution Of Human Pdac Using Primary Cells Reveals Oncogenic Transcriptomic Features At Tumor Onset, Yi Xu, Michael H Nipper, Angel A Dominguez, Zhenqing Ye, Naoki Akanuma, Kevin Lopez, Janice J Deng, Destiny Arenas, Ava Sanchez, Francis E Sharkey, Colin M Court, Aatur D Singhi, Huamin Wang, Martin E Fernandez-Zapico, Lu-Zhe Sun, Siyuan Zheng, Yidong Chen, Jun Liu, Pei Wang

Faculty, Staff and Student Publications

Animal studies have demonstrated the ability of pancreatic acinar cells to transform into pancreatic ductal adenocarcinoma (PDAC). However, the tumorigenic potential of human pancreatic acinar cells remains under debate. To address this gap in knowledge, we expand sorted human acinar cells as 3D organoids and genetically modify them through introduction of common PDAC mutations. The acinar organoids undergo dramatic transcriptional alterations but maintain a recognizable DNA methylation signature. The transcriptomes of acinar organoids are similar to those of disease-specific cell populations. Oncogenic KRAS alone do not transform acinar organoids. However, acinar organoids can form PDAC in vivo after acquiring the …

Single-Cell Multiomics Decodes Regulatory Programs For Mouse Secondary Palate Development, Fangfang Yan, Akiko Suzuki, Chihiro Iwaya, Guangsheng Pei, Xian Chen, Hiroki Yoshioka, Meifang Yu, Lukas M Simon, Junichi Iwata, Zhongming Zhao

Faculty, Staff and Student Publications

Perturbations in gene regulation during palatogenesis can lead to cleft palate, which is among the most common congenital birth defects. Here, we perform single-cell multiome sequencing and profile chromatin accessibility and gene expression simultaneously within the same cells (n = 36,154) isolated from mouse secondary palate across embryonic days (E) 12.5, E13.5, E14.0, and E14.5. We construct five trajectories representing continuous differentiation of cranial neural crest-derived multipotent cells into distinct lineages. By linking open chromatin signals to gene expression changes, we characterize the underlying lineage-determining transcription factors. In silico perturbation analysis identifies transcription factors SHOX2 and MEOX2 as important regulators …

Tetravalent Sars-Cov-2 S1 Subunit Protein Vaccination Elicits Robust Humoral And Cellular Immune Responses In Siv-Infected Rhesus Macaque Controllers, Rachel C Vanderkruik, Craig Ferguson, Lauren A Kobylski, Joseph J Locascio, Gabriella E Hamlett, Parker C Killenberg, Robert Lewis, Noah Jones, Ella T Rossa, Hannah Dineen, Rosalind Picard, Lee S Cohen

Faculty, Staff and Student Publications

BACKGROUND: Depression during pregnancy is increasingly recognized as a worldwide public health problem. If untreated, there can be detrimental outcomes for the mother and child. Anxiety is also often comorbid with depression. Although effective treatments exist, most women do not receive treatment. Technology is a mechanism to increase access to and engagement in mental health services.

OBJECTIVE: The Guardians is a mobile app, grounded in behavioral activation principles, which seeks to leverage mobile game mechanics and in-game rewards to encourage user engagement. This study seeks to assess app satisfaction and engagement and to explore changes in clinical symptoms of depression …

Psychological Distress In Low-Income And Economically Marginalized Populations In India: Protective And Risk Factors, Dipti Singh, Shagufta Nasir, Juhi Sharma, Lydia Giménez-Llort, Mohammad Ghazi Shahnawaz

Faculty, Staff and Student Publications

Studies at the juncture of development economics and public health take on considerable responsibility in addressing inequality and related mental health distress. Mental healthcare in economically marginalized populations requires depicting the linkages between socioeconomic status and psychological distress. In the present work, a sequential mixed-methods design was used to study 190 people in such communities in India. Gender-dependent psychological distress was found according to the Kessler Psychological Distress Scale (K-10) with moderate distress in women (M = 26.30, SD = 9.15) and mild distress in men (M = 21.04, SD = 8.35). Regression analysis indicated that gender significantly predicted psychological …

Personalized Trial Ethics And Institutional Review Board Submissions, Joyce P Samuel, Susan H Wootton

Faculty, Staff and Student Publications

The ethical and regulatory oversight of any clinical activity related to human subjects is commonly determined based on its categorization as either clinical practice or research. Prominent bioethicists have criticized the traditional distinctions used to delineate these categories, calling them counterproductive and outmoded, and arguing that learning and clinical practice should be deliberately and appropriately integrated. Personalized trials represent a clinical activity with characteristics that overlap both categories, making ethical and regulatory oversight requirements less straightforward. When the primary intent of the personalized trial is to assist in the conduct of individualized patient care with an emphasis on protecting the …

Boosting The Electron Beam Transmittance Of Field Emission Cathode Using A Self-Charging Gate, Dongyang Xiao, Huanhuan Du, Leimeng Sun, Xiaochen Suo, Yurong Wang, Yili Zhang, Shaolin Zhang, Shuangyang Kuang, Fangjing Hu, Liangcheng Tu, Daren Yu, Peiyi Song

Faculty, Staff and Student Publications

The gate-type carbon nanotubes cathodes exhibit advantages in long-term stable emission owing to the uniformity of electrical field on the carbon nanotubes, but the gate inevitably reduces the transmittance of electron beam, posing challenges for system stabilities. In this work, we introduce electron beam focusing technique using the self-charging SiN_x/Au/Si gate. The potential of SiN_x is measured to be approximately −60 V quickly after the cathode turning on, the negative potential can be maintained as the emission goes on. The charged surface generates rebounding electrostatic forces on the following electrons, significantly focusing the electron beam on the …

Bacterial Contamination Of Platelet Products, Michael R Jacobs, Bowen Zhou, Aditi Tayal, Robert W Maitta

Faculty, Staff and Student Publications

Transfusion of bacterially contaminated platelets, although rare, is still a major cause of mortality and morbidity despite the introduction of many methods to limit this over the past 20 years. The methods used include improved donor skin disinfection, diversion of the first part of donations, use of apheresis platelet units rather than whole-blood derived pools, primary and secondary testing by culture or rapid test, and use of pathogen reduction. Primary culture has been in use the US since 2004, using culture 24 h after collection of volumes of 4-8 mL from apheresis collections and whole-blood derived pools inoculated into aerobic …

Evaluating Noninvasive Brain Stimulation To Treat Overactive Bladder In Individuals With Multiple Sclerosis: A Randomized Controlled Trial Protocol, Betsy H Salazar, Kristopher A Hoffman, John A Lincoln, Christof Karmonik, Hamida Rajab, Santosh A Helekar, Rose Khavari

Faculty, Staff and Student Publications

Background

Multiple Sclerosis (MS) is an often debilitating disease affecting the myelin sheath that encompasses neurons. It can be accompanied by a myriad of pathologies and adverse effects such as neurogenic lower urinary tract dysfunction (NLUTD). Current treatment modalities for resolving NLUTD focus mainly on alleviating symptoms while the source of the discomfort emanates from a disruption in brain to bladder neural circuitry. Here, we leverage functional magnetic resonance imaging (fMRI), repetitive transcranial magnetic stimulation (rTMS) protocols and the brains innate neural plasticity to aid in resolving overactive bladder (OAB) symptoms associated with NLUTD.

Methods

By employing an advanced neuro-navigation …

Prevention And Potential Treatment Strategies For Respiratory Syncytial Virus, Bo-Wen Sun, Peng-Peng Zhang, Zong-Hao Wang, Xia Yao, Meng-Lan He, Rui-Ting Bai, Hao Che, Jing Lin, Tian Xie, Zi Hui, Xiang-Yang Ye, Li-Wei Wang

Faculty, Staff and Student Publications

Respiratory syncytial virus (RSV) is a significant viral pathogen that causes respiratory infections in infants, the elderly, and immunocompromised individuals. RSV-related illnesses impose a substantial economic burden worldwide annually. The molecular structure, function, and in vivo interaction mechanisms of RSV have received more comprehensive attention in recent times, and significant progress has been made in developing inhibitors targeting various stages of the RSV replication cycle. These include fusion inhibitors, RSV polymerase inhibitors, and nucleoprotein inhibitors, as well as FDA-approved RSV prophylactic drugs palivizumab and nirsevimab. The research community is hopeful that these developments might provide easier access to knowledge and …

Dementia Prediction In Older Adults Using Sex-Specific Health Trajectory Clustering, Omar A Ibrahim, Muskan Garg, Sunyang Fu, Maria Vassilaki, Ronald C Petersen, Jennifer St Sauver, Sunghwan Sohn

Faculty, Staff and Student Publications

With increasing number of people living with dementia, the problem of late diagnosis significantly impacts a person's quality of life while early signs of dementia may provide useful insights to facilitate better treatment plans. With time, this progressive neurodegenerative syndrome could progress from mild cognitive impairment to dementia. A pattern of health conditions can be characterized in unsupervised manner to help predict this progress. As a significant extension to our previous work with streaming clustering model, we consider additional information for predicting dementia onset. With empirical observations, we discover the importance of examining sex and age to predict dementia onset. …

Interplay Between Atrx And Idh1 Mutations Governs Innate Immune Responses In Diffuse Gliomas, Seethalakshmi Hariharan, Benjamin T Whitfield, Christopher J Pirozzi, Matthew S Waitkus, Michael C Brown, Michelle L Bowie, David M Irvin, Kristen Roso, Rebecca Fuller, Janell Hostettler, Sharvari Dharmaiah, Emiley A Gibson, Aaron Briley, Avani Mangoli, Casey Fraley, Mariah Shobande, Kevin Stevenson, Gao Zhang, Prit Benny Malgulwar, Hannah Roberts, Martin Roskoski, Ivan Spasojevic, Stephen T Keir, Yiping He, Maria G Castro, Jason T Huse, David M Ashley

Faculty, Staff and Student Publications

Stimulating the innate immune system has been explored as a therapeutic option for the treatment of gliomas. Inactivating mutations in ATRX, defining molecular alterations in IDH-mutant astrocytomas, have been implicated in dysfunctional immune signaling. However, little is known about the interplay between ATRX loss and IDH mutation on innate immunity. To explore this, we generated ATRX-deficient glioma models in the presence and absence of the IDH1R132H mutation. ATRX-deficient glioma cells are sensitive to dsRNA-based innate immune agonism and exhibit impaired lethality and increased T-cell infiltration in vivo. However, the presence of IDH1R132H dampens baseline expression of key innate immune genes …

Building A More Diverse Public Health Informatics Workforce: Preliminary Results, Susan H Fenton, Gabriela Mustata Wilson

Faculty, Staff and Student Publications

The US public health infrastructure has been historically underfunded, a condition that was exacerbated by the COVID-19 pandemic. This was especially noted in the area of public health informatics. It was also acknowledged that the lack of a diverse public health workforce made it more difficult to address biases and disparities effectively. In 2021 the Office of the National Coordinator awarded $73 million to 10 awardees to develop public health informatics and technology (PHIT) workforce training. The Gaining Equity in Training for Public Health Informatics and Technology (GET PHIT) award utilizes various methods to train and engage minority and underserved …

Insights On The Future Of Digital Health: An Analysis Of Twitter Posts Of Imia Fellows, David T Marc, Karima Lalani, Susan H Fenton, Kerryn Butler-Henderson

Faculty, Staff and Student Publications

The COVID-19 pandemic has reshaped technology-enhanced services in health and care organizations globally. As the world pivots towards a post-COVID-19 environment, it is essential to examine emerging trends amongst thought leaders in the health information technology sector. This study queried Twitter feeds of IMIA Fellows from 2013 through 2022, utilizing combinations of sentiment analysis, latent dirichlet allocation, and document analysis methods. The results provided a glimpse of positive sentiment year upon year, with the most negative sentiment prevalent in 2020, due to the onset of the pandemic. The findings from this study can be strategically used to analyze emerging trends …

Exploring A Mechanism Toward Automated Feedback For Cancer Patient Self-Reporting, Kevin Phong, Mengchen Ding, Youmin Cho, Yun Jiang, Yang Gong

Faculty, Staff and Student Publications

"Infobuttons" spearheaded electronic health records (EHR) based decision support by offering automated knowledge resources to physicians. However, how such a mechanism could be leveraged to provide optimal resources to patients remains unanswered. Informatics approaches are expected to utilize more relevant information beyond EHR, such as patient-reported outcomes, to support clinical decisions. This pilot study is intended to explore how patient-reported outcomes version of the common terminology criteria for adverse events (PRO-CTCAE) in EHR can be incorporated and how to recommend tailored content to cancer patients via automated feedback.

Extracting Drug-Protein Relation From Literature Using Ensembles Of Biomedical Transformers, Avisha Das, Zhao Li, Qiang Wei, Jianfu Li, Liang-Chin Huang, Yan Hu, Rongbin Li, Wenjin Jim Zheng, Hua Xu

Faculty, Staff and Student Publications

Automatic extraction of relations between drugs/chemicals and proteins from ever-growing biomedical literature is required to build up-to-date knowledge bases in biomedicine. To promote the development of automated methods, BioCreative-VII organized a shared task - the DrugProt track, to recognize drug-protein entity relations from PubMed abstracts. We participated in the shared task and leveraged deep learning-based transformer models pre-trained on biomedical data to build ensemble approaches to automatically extract drug-protein relation from biomedical literature. On the main corpora of 10,750 abstracts, our best system obtained an F1-score of 77.60% (ranked 4th among 30 participating teams), and on the large-scale corpus of …

An Icd For The Digital World: What Does The Icd-11 Research Show?, Susan H Fenton, Mary H Stanfill, Kathy Giannangelo

Faculty, Staff and Student Publications

The 11th revision of the International Classification of Diseases (ICD) is now available for use. A literature search was conducted to review and summarize the research conducted to date. In addition to the ease of integration into electronic health records using standard digital tools such as uniform resource identifiers and application programming interfaces, ICD-11 and the World Health Organization provided linearization for mortality and morbidity, ICD-11-MMS, promise improved backward compatibility to ICD-10; increased availability in multiple languages; greater detail for clinical use, including traditional Chinese medicine; and enhanced maintenance for continued relevance. The studies reviewed here support the superior content …

Challenges In Selecting Patient-Reported Outcome Measures For Use In A Patient-Facing Technology, Priyank Raj, Youmin Cho, Yun Jiang, Yang Gong

Faculty, Staff and Student Publications

Patient-reported outcome measures (PROMs) have been increasingly integrated into patient-facing technologies to engage and empower patients in cancer self-management at home. However, researchers and developers face several challenges in selecting the best-suited PROMs for patient-facing technologies, due to the complex nature of the disease, the multitude of PROMs with high psychometric quality, and the lack of clear standards for PROM utilization. In this paper, we have discussed these challenges, illustrated by breast cancer instruments.

A Patient-Centered Approach To Collecting And Displaying Patient Identifiers, Christina Van Hal, Jennifer L Mills, Mary Gatmaitan, Yang Gong

Faculty, Staff and Student Publications

Patient identifiers such as name, date of birth, or gender are the first line of defense to ensure the accuracy of the health data displayed in health information exchange. Health data display is the impetus for clinical decisions and patient outcomes and directly correlates with promoting interoperability and health information exchange. Therefore, constant monitoring of quality metrics is imperative for clinical leaders to keep a pulse on what is happening within their organizations. However, the electronic health records (EHRs) designer should also take precautions to ensure the visualizations are not misleading, given that EHRs have been shown in some studies …

A Quantitative Analysis Of Patient-Facing Technologies For Patient Self-Reporting, Mengchen Ding, Youmin Cho, Yun Jiang, Yang Gong

Faculty, Staff and Student Publications

Dramatic improvements in patient-facing technologies have demonstrated the potential to transform healthcare delivery for a 360-degree holistic view of care. A key question regarding how such technologies affect patient self-reporting still needs to be answered. This study presents the technologies and their associated key variables via quantitative analysis. Associations were found between single-platform and web-based applications (apps), Android apps and physician view, mental health disease, and user feedback. The results are intended to inform future design, development, and evaluation of patient-facing technologies. More systematic, theory-driven, framework-based design and evaluation are necessary to fully characterize the effectiveness and maintenance of patient-facing …

User-Centered Data Display For Clinicians To Diagnose And Manage Hypertension, Carly Ho, Oluwatumininu Layinka, Valerie Chukelu, Kevin Phong, Yang Gong

Faculty, Staff and Student Publications

The accurate diagnosis and effective treatment of hypertension are hindered by challenges stemming from limited access to comprehensive blood pressure (BP) data and the need for clinical context surrounding BP readings. Using handwritten tables for home-monitored BP exacerbates issues related to integration of electronic health records (EHRs) and trend analysis. This study employs user-centered design principles to develop prototypes for BP data visualization, with the primary goal of harmonizing disparate BP data sources to empower clinicians in precise hypertension diagnosis and management.

Effect Of Russian Current Expert Modes On Quadriceps Muscle Torque In Healthy Adults: A Single-Blinded Randomized Controlled Trial, Ansam Hasan, Ibrahim Moustafa, Tamer Shousha

Faculty, Staff and Student Publications

BACKGROUND: Russian current (RC), a well-known neuromuscular electrical stimulation operating at 2500 Hz, has demonstrated significant strength improvement over traditional exercises due to its high tolerance and low pain provocation. Despite extensive NMES parameter research, the specific effects of expert modes, particularly ON2 and Rest, remain unexplored. This study investigates the direct effect of these expert modes on quadriceps muscle strength in healthy adults.

METHODS: This is a single-blind, randomization-controlled trial. Forty-eight healthy university students (31 females, 17 males) were assigned in two randomized experimental groups either the ON2 or Rest mode for a 15-minute electrical stimulation session. Quadriceps maximum …

Learning From Non-Routine Events And Teamwork In Intensive Care Units: Challenges And Opportunities, Yang Gong, You Chen

Faculty, Staff and Student Publications

Patients admitted to intensive care units (ICUs) have profound and complex illnesses, often fraught with uncertainties in diagnoses, treatments, and care decisions. Clinicians often deviate from best practices to handle ICUs' myriad complexities and uncertainties. Non-routine events (NREs), defined as any aspect of care perceived by clinicians as deviations from optimal care, are latent and frequent safety threats that, if left unchecked, can be precursors to adverse events. Proper identification and analysis of NREs that represent latent safety threats have been proposed as a feasible and more effective approach for performance improvement than traditional root cause analysis for patient safety …