Medicine and Health Sciences Commons^™

Small-Molecule Ccr4 Antagonists In Cutaneous T-Cell Lymphoma, José S Enriquez, Xiaohong Wang, Loka Reddy Velatooru, Wei Han, Pedram Bijani, Xiao Ni

Faculty, Staff and Student Publications

Mycosis fungoides (MF) and Sézary syndrome (SS) are two most common types of cutaneous T-cell lymphoma (CTCL). Despite advances in understanding the pathogenesis of MF and SS, effective treatments remain limited. CC chemokine receptor-4 (CCR4) is highly expressed on CTCL cells and serves as a great therapeutic target. Mogamulizumab, an FDA-approved anti-CCR4 antibody, has shown efficacy in treating MF/SS; however, its side effects have raised concerns, underscoring the need for more effective and less toxic CCR4-targeted therapies. Although small-molecule CCR4 antagonists have been studied in other diseases involving CCR4⁺ Th2 cells and regulatory T cells, their effects in CTCL …

Evaluating Dynamic And Predictive Discrimination For Recurrent Event Models: Use Of A Time-Dependent C-Index, Jian Wang, Xinyang Jiang, Jing Ning

Faculty, Staff and Student Publications

Interest in analyzing recurrent event data has increased over the past few decades. One essential aspect of a risk prediction model for recurrent event data is to accurately distinguish individuals with different risks of developing a recurrent event. Although the concordance index (C-index) effectively evaluates the overall discriminative ability of a regression model for recurrent event data, a local measure is also desirable to capture dynamic performance of the regression model over time. Therefore, in this study, we propose a time-dependent C-index measure for inferring the model's discriminative ability locally. We formulated the C-index as a function of time using …

Mhc Hammer Reveals Genetic And Non-Genetic Hla Disruption In Cancer Evolution, Clare Puttick, Thomas P Jones, Michelle M Leung, Felipe Galvez-Cancino, Jiali Liu, Manuel Varas-Godoy, Andrew Rowan, Oriol Pich, Carlos Martinez-Ruiz, Robert Bentham, Krijn K Dijkstra, James R M Black, Rachel Rosenthal, Nnennaya Kanu, Kevin Litchfield, Roberto Salgado, David A Moore, Peter Van Loo, Mariam Jamal-Hanjani, Sergio A Quezada, Tracerx Consortium, Charles Swanton, Nicholas Mcgranahan

Faculty, Staff and Student Publications

Disruption of the class I human leukocyte antigen (HLA) molecules has important implications for immune evasion and tumor evolution. We developed major histocompatibility complex loss of heterozygosity (LOH), allele-specific mutation and measurement of expression and repression (MHC Hammer). We identified extensive variability in HLA allelic expression and pervasive HLA alternative splicing in normal lung and breast tissue. In lung TRACERx and lung and breast TCGA cohorts, 61% of lung adenocarcinoma (LUAD), 76% of lung squamous cell carcinoma (LUSC) and 35% of estrogen receptor-positive (ER+) cancers harbored class I HLA transcriptional repression, while HLA tumor-enriched alternative splicing occurred in 31%, 11% …

Biomarker Trajectory For Earlier Detection Of Lung Cancer, Ehsan Irajizad, Johannes F Fahrmann, Iakovos Toumazis, Jody Vykoukal, Jennifer B Dennison, Yu Shen, Kim-Anh Do, Edwin J Ostrin, Ziding Feng, Samir Hanash

Faculty, Staff and Student Publications

Background: To determine whether an algorithm based on repeated measurements of a panel of four circulating protein biomarkers (4 MP) for lung cancer risk assessment results in improved performance over a single time measurement.

Methods: We conducted data analysis of the 4 MP consisting of the precursor form of surfactant protein B, cancer antigen 125, carcinoembryonic antigen, and cytokeratin-19 fragment in pre-diagnostic sera from 2483 ever-smoker participants (389 cases and 2094 randomly selected non-cases) in the Prostate, Lung, Colorectal, Ovarian (PLCO) Study who had at least two sequential blood collections over 6 years. A parametric empirical Bayes (PEB) algorithm, which …

Meta-Analysis Of Censored Adverse Events, Xinyue Qi, Shouhao Zhou, Christine B Peterson, Yucai Wang, Xinying Fang, Michael L Wang, Chan Shen

Faculty, Staff and Student Publications

Meta-analysis is a powerful tool for assessing drug safety by combining treatment-related toxicological findings across multiple studies, as clinical trials are typically underpowered for detecting adverse drug effects. However, incomplete reporting of adverse events (AEs) in published clinical studies is frequently encountered, especially if the observed number of AEs is below a pre-specified study-dependent threshold. Ignoring the censored AE information, often found in lower frequency, can significantly bias the estimated incidence rate of AEs. Despite its importance, this prevalent issue in meta-analysis has received little statistical or analytic attention in the literature. To address this challenge, we propose a Bayesian …

Practices Affecting Macitentan And Selexipag Patient Persistence Rates Utilizing Pulmonary Arterial Hypertension Clinical Site And Patient Perspectives (Persist): A Us Qualitative Analysis, Oksana A Shlobin, Gary Bruce, Gabriela Gomez-Rendon, Martha Kingman, Mohammad Rahman, Frances Rogers, Sean Studer, Tobore Tobore, Colleen Mcevoy

2020-Current year OA Pubs

This real-world study explored factors affecting persistence with macitentan and selexipag treatment from the perspective of 23 healthcare professionals (HCPs) and 134 patients with pulmonary arterial hypertension between 2019 and 2022. Continuous patient/HCP communication and education were key drivers of persistence, as were early discussion and management of side effects.

Evaluation Of Vancomycin Dose Needed To Achieve 24-Hour Area Under The Concentration-Time Curve To Minimum Inhibitory Concentration Ratio Greater Than Or Equal To 400 Using Pharmacometric Approaches In Pediatric Intensive Care Patients, Dawoon Jung, Omayma A Kishk, Adnan T Bhutta, Ginny E Cummings, Hana M El Sahly, Manpreet K Virk, Brady S Moffett, Jennifer L Morris Daniel, Amy Watanabe, Nicholas Fishbane, Karen L Kotloff, Kenan Gu, Varduhi Ghazaryan, Jogarao V S Gobburu, Ayse Akcan-Arikan, James D Campbell

Faculty, Staff and Students Publications

OBJECTIVES: To investigate which independent factor(s) have an impact on the pharmacokinetics of vancomycin in critically ill children, develop an equation to predict the 24-hour area under the concentration-time curve from a trough concentration, and evaluate dosing regimens likely to achieve a 24-hour area under the concentration-time curve to minimum inhibitory concentration ratio (AUC24/MIC) greater than or equal to 400.

DESIGN: Prospective population pharmacokinetic study of vancomycin.

SETTING: Critically ill patients in quaternary care PICUs.

PATIENTS: Children 90 days old or older to younger than 18 years who received IV vancomycin treatment, irrespective of the indication for use, in the …

Demystifying Hispanic Versus Latino/A Versus Latinx: Which Do Emergency Department Patients Prefer?, Melanie F Molina, Anita N Chary, Karen Reyes, James S Ford, Brian Chinnock, Robert M Rodriguez

Faculty, Staff and Students Publications

No abstract provided.

Impact Of Functional Recovery On Patients Having Heart Surgery., Richard J Snow, Lauren Mckown, Geoffrey Blossom, Karen Vogel, Amy Creighton, Jason Shriver, Linda Will, Katie Lentz, Elizabeth Snow, Teresa Caulin-Glaser

Heart and Vascular Articles

OBJECTIVE: To describe the results of a program developed to manage institutional postacute care (IPAC) (postacute skilled nursing, inpatient rehabilitation facility, and long-term acute care) in a CMS Bundled Payments for Care Improvement (BPCI) project for coronary artery bypass graft (CABG) surgery.

STUDY DESIGN: We compared pre- and postutilization patterns during a 3-year period by evaluating risk-adjusted national, state, and other BPCI participant comparisons using a difference-in-differences (DID) analysis in a large urban community tertiary center with a CABG surgery program. Included in the analysis were all Medicare patients receiving CABG surgery at the institution (n = 504), across the …

Precision Imaging For Prostate Cancer Localization: How Multiparametric Ultrasound Stands Against Multiparametric Mri, Amr Mohammed, Priscilla Machado, Tania Siu Xiao, Aylin Tahmasebi, Mostafa Alnoury, Edouard Trabulsi, Ethan J. Halpern, John R. Eisenbrey, Flemming Forsberg

Department of Radiology Faculty Papers

Multiparametric MRI (mpMRI) is currently the standard imaging modality for the diagnosis of prostate cancer; however, studies have reported that targeted biopsy based on mpMRI may miss approximately 30% of clinically significant cases. Recent advances in ultrasound imaging have improved its accuracy for detection of prostate cancer. Newer techniques such as MicroUS, elastography, contrast-enhanced ultrasound (CEUS), and contrast ultrasound dispersion imaging (CUDI) have enabled a comprehensive, real-time, and relatively inexpensive approach to evaluate the prostate gland. Multiparametric ultrasound (mpUS) integrates multiple parameters from these techniques to generate multiparametric maps akin to those produced by mpMRI, to localize prostate cancer. This …

Evaluation Of Liver Fibrosis On Grayscale Ultrasound In A Pediatric Population Using A Cloud-Based Transfer Learning Artificial Intelligence Platform, Amr Mohammed, Aylin Tahmasebi, Sooji Kim, Mostafa Alnoury, Corinne E. Wessner, Tania Siu Xiao, Sharon W. Gould, Lauren A. May, Heidi Kecskemethy, David T. Saul, John R. Eisenbrey

Department of Radiology Faculty Papers

Objectives: The incidence of chronic liver diseases in children is increasing worldwide due to congenital, metabolic, autoimmune and viral diseases. Currently, liver biopsy for fibrosis assessment is considered the gold standard. However, this procedure is invasive, may result in unavoidable complications and is prone to sampling errors. These limitations have led to an increasing demand for noninvasive methods for fibrosis screening. Artificial intelligence integration in ultrasound diagnosis of liver fibrosis has gained interest in clinical research. In the current study we used a cloud-based artificial intelligence platform utilizing transfer learning to evaluate the accuracy of B-mode ultrasound based AI model …

A Guideline For Open-Source Tools To Make Medical Imaging Data Ready For Artificial Intelligence Applications: A Society Of Imaging Informatics In Medicine (Siim) Survey, Sanaz Vahdati, Bardia Khosravi, Elham Mahmoudi, Kuan Zhang, Pouria Rouzrokh, Shahriar Faghani, Mana Moassefi, Aylin Tahmasebi, Katherine Andriole, Peter Chang, Keyvan Farahani, Mona Flores, Les Folio, Sina Houshmand, Maryellen Giger, Judy Gichoya, Bradley Erickson

Department of Radiology Faculty Papers

In recent years, the role of Artificial Intelligence (AI) in medical imaging has become increasingly prominent, with the majority of AI applications approved by the FDA being in imaging and radiology in 2023. The surge in AI model development to tackle clinical challenges underscores the necessity for preparing high-quality medical imaging data. Proper data preparation is crucial as it fosters the creation of standardized and reproducible AI models while minimizing biases. Data curation transforms raw data into a valuable, organized, and dependable resource and is a fundamental process to the success of machine learning and analytical projects. Considering the plethora …

Response To Letter To The Editor Concerning The Article "The Clinical And Economic Impact Of Extended Battery Longevity Of A Substernal Extravascular Implantable Cardioverter Defibrillator"., Bradley P Knight, Nicolas Clémenty, Anish Amin, Ulrika Maria Birgersdotter-Green, Henri Roukoz, Reece Holbrook, Jaimie Manlucu

Heart and Vascular Articles

No abstract provided.

Pkmyt1 Is A Marker Of Treatment Response And A Therapeutic Target For Cdk4/6 Inhibitor-Resistance In Er+ Breast Cancer, Anran Chen, Beom-Jun Kim, Aparna Mitra, Craig T Vollert, Jonathan T Lei, Diana Fandino, Meenakshi Anurag, Matthew V Holt, Xuxu Gou, Jacob B Pilcher, Matthew P Goetz, Donald W Northfelt, Susan G Hilsenbeck, C Gary Marshall, Marc L Hyer, Robert Papp, Shou-Yun Yin, Carmine De Angelis, Rachel Schiff, Suzanne A W Fuqua, Cynthia X Ma, Charles E Foulds, Matthew J Ellis

Faculty, Staff and Students Publications

Endocrine therapies (ET) with cyclin-dependent kinase 4/6 (CDK4/6) inhibition are the standard treatment for estrogen receptor-α-positive (ER+) breast cancer, however drug resistance is common. In this study, proteogenomic analyses of patient-derived xenografts (PDXs) from patients with 22 ER+ breast cancer demonstrated that protein kinase, membrane-associated tyrosine/threonine one (PKMYT1), a WEE1 homolog, is estradiol (E2) regulated in E2-dependent PDXs and constitutively expressed when growth is E2-independent. In clinical samples, high PKMYT1 mRNA levels associated with resistance to both ET and CDK4/6 inhibition. The PKMYT1 inhibitor lunresertib (RP-6306) with gemcitabine selectively and synergistically reduced the viability of ET and palbociclib-resistant ER+ breast …

Disruption Of Neural Periodicity Predicts Clinical Response After Deep Brain Stimulation For Obsessive-Compulsive Disorder, Nicole R Provenza, Sandesh Reddy, Anthony K Allam, Sameer V Rajesh, Nabeel Diab, Gabriel Reyes, Rose M Caston, Kalman A Katlowitz, Ajay D Gandhi, Raphael A Bechtold, Huy Q Dang, Ricardo A Najera, Nisha Giridharan, Katherine E Kabotyanski, Faiza Momin, Mohammed Hasen, Garrett P Banks, Brian J Mickey, Brent M Kious, Ben Shofty, Benjamin Y Hayden, Jeffrey A Herron, Eric A Storch, Ankit B Patel, Wayne K Goodman, Sameer A Sheth

Faculty, Staff and Students Publications

Recent advances in surgical neuromodulation have enabled chronic and continuous intracranial monitoring during everyday life. We used this opportunity to identify neural predictors of clinical state in 12 individuals with treatment-resistant obsessive-compulsive disorder (OCD) receiving deep brain stimulation (DBS) therapy ( NCT05915741 ). We developed our neurobehavioral models based on continuous neural recordings in the region of the ventral striatum in an initial cohort of five patients and tested and validated them in a held-out cohort of seven additional patients. Before DBS activation, in the most symptomatic state, theta/alpha (9 Hz) power evidenced a prominent circadian pattern and a high …

Cumulative Radiation Exposure And Lifetime Cancer Risk In Patients With Tetralogy Of Fallot Requiring Early Intervention, Jeannette R Wong-Siegel, Andrew C Glatz, Et Al.

2020-Current year OA Pubs

BACKGROUND: Neonates with tetralogy of Fallot and symptomatic cyanosis (sTOF) require early intervention, utilizing either a staged repair (SR) or primary repair (PR) approach. They are exposed to several sources of low-dose ionizing radiation, which may contribute to increased cancer risk.

OBJECTIVES: The purpose of this study was to compare cumulative radiation exposure and associated lifetime attributable risk (LAR) of cancer between treatment strategies in sTOF.

METHODS: Neonates with sTOF who underwent SR or PR from 2012 to 2017 were retrospectively reviewed from the Congenital Cardiac Research Collaborative. Radiation exposure from all radiologic studies prior to 18 months of age …

Role Of The Card8 Inflammasome In Hiv Pathogenesis, Qiankun Wang, Liang Shan

2020-Current year OA Pubs

Human immunodeficiency virus (HIV) continues to be a significant global health challenge despite decades of research and advances in treatment. Substantial gaps in our understanding of the mechanisms of HIV pathogenesis and the host immune responses still exist. The interaction between HIV and these immune responses is pivotal in the disease progression to acquired immunodeficiency syndrome (AIDS). Recently, the caspase recruitment domain-containing protein 8 (CARD8) inflammasome has emerged as a crucial factor in orchestrating innate immune responses to HIV infection and exerting a substantial impact on viral pathogenesis. CARD8 restricts viral replication by detecting the activity of HIV protease. Conversely, …

Deletion Of Tissue Factor Pathway Inhibitor Isoform Beta Or Gamma, But Not Alpha, Improves Clotting In Hemophilic Mice, Irem Eldem, Lilian Antunes-Heck, Renumathi Subramanian, Nina M Lasky, Katrina Ashworth, Jorge Di Paola, Thomas J Girard

2020-Current year OA Pubs

BACKGROUND: Tissue factor pathway inhibitor (TFPI) regulates tissue factor-triggered coagulation. Humans and mice express transcripts encoding for multidistributed (endothelial, platelet, and plasma) 3-Kunitz domain TFPIα and endothelial membrane-anchored 2-Kunitz TFPIβ. Mice express a third transcript, γ, that encodes plasma lipoprotein-associated 2-Kunitz TFPI. In humans, proteolysis of α and/or β produces plasma lipoprotein-associated 2-Kunitz TFPI at lower levels. In clinical trials, monoclonal antibodies that target all TFPI isoforms extend coagulation and correct bleeding in hemophilic patients but with some thrombosis risks.

OBJECTIVES: To determine the impact of TFPI isoform-specific deletions on promoting clotting in hemophilic mice.

METHODS: Engineered TFPI isoform-specific, hemophilic …

Peripartum Prediction Of Fetal Weight In Gravidas With Obesity, Katherine H Bligard, Jeannie C Kelly, Antonina I Frolova, Anthony O Odibo, Nandini Raghuraman

2020-Current year OA Pubs

OBJECTIVES: Estimated fetal weight (EFW) is an important metric at delivery as neonates with abnormal birthweight and their mothers are at higher risk of birth complications. Data regarding optimal EFW assessment in gravidas with obesity is inconsistent, and with the increasing incidence of obesity, clarification of this question is crucial. We aimed to compare accuracy of ultrasound (US)-derived EFW and clinical assessments of EFW in predicting neonatal birthweight among gravidas with obesity.

METHODS: This prospective cohort study enrolled gravidas with obesity and a singleton pregnancy admitted for delivery at term. EFW was determined using either US biometry or clinical assessment …

Applying A Health Equity Lens To Better Understand End-Of-Life Prognostication, Newsha Nikzad, Joelle Robertson-Preidler, Faith E Fletcher

Center for Medical Ethics and Health Policy Staff Publications

Racial and ethnic inequity exists throughout the lifespan, including at the end of life (EOL). Although prognostication is inherently fraught with uncertainty, many underrepresented minorities get prognoses that are overly optimistic, which can exacerbate inequity by depriving patients of details needed to make informed decisions and plan for EOL care. This article applies a health equity lens to facilitate better ethical and clinical understandings of how to care for patients of color more equitably at the EOL.

Racial Equity, Diversity And Inclusion In Bioethics: Recommendations From The Association Of Bioethics Program Directors Presidential Task Force, Sandra Soo-Jin Lee, Alexis Walker, Shawneequa L Callier, Faith E Fletcher, Charlene Galarneau, Nanibaa' Garrison, Jennifer E James, Renee Mcleod-Sordjan, Ubaka Ogbogu, Nneka Sederstrom, Patrick T Smith, Clarence H Braddock, Christine Mitchell

Center for Medical Ethics and Health Policy Staff Publications

Recent calls to address racism in bioethics reflect a sense of urgency to mitigate the lethal effects of a lack of action. While the field was catalyzed largely in response to pivotal events deeply rooted in racism and other structures of oppression embedded in research and health care, it has failed to center racial justice in its scholarship, pedagogy, advocacy, and practice, and neglected to integrate anti-racism as a central consideration. Academic bioethics programs play a key role in determining the field's norms and practices, including methodologies, funding priorities, and professional networks that bear on equity, inclusion, and epistemic justice. …

Leveraging Gpt-4 For Identifying Cancer Phenotypes In Electronic Health Records: A Performance Comparison Between Gpt-4, Gpt-3.5-Turbo, Flan-T5, Llama-3-8b, And Spacy's Rule-Based And Machine Learning-Based Methods, Kriti Bhattarai, Inez Y Oh, Jonathan Moran Sierra, Jonathan Tang, Philip R O Payne, Zach Abrams, Albert M Lai

2020-Current year OA Pubs

OBJECTIVE: Accurately identifying clinical phenotypes from Electronic Health Records (EHRs) provides additional insights into patients' health, especially when such information is unavailable in structured data. This study evaluates the application of OpenAI's Generative Pre-trained Transformer (GPT)-4 model to identify clinical phenotypes from EHR text in non-small cell lung cancer (NSCLC) patients. The goal was to identify disease stages, treatments and progression utilizing GPT-4, and compare its performance against GPT-3.5-turbo, Flan-T5-xl, Flan-T5-xxl, Llama-3-8B, and 2 rule-based and machine learning-based methods, namely, scispaCy and medspaCy.

MATERIALS AND METHODS: Phenotypes such as initial cancer stage, initial treatment, evidence of cancer recurrence, and affected …

Multi-Site Eeg Studies In Early Infancy: Methods To Enhance Data Quality, Abigail Dickinson, John Zempel, Natasha Marrus, John R Pruett Jr, Et Al.

2020-Current year OA Pubs

Brain differences linked to autism spectrum disorder (ASD) can manifest before observable symptoms. Studying these early neural precursors in larger and more diverse cohorts is crucial for advancing our understanding of developmental pathways and potentially facilitating earlier identification. EEG is an ideal tool for investigating early neural differences in ASD, given its scalability and high tolerability in infant populations. In this context, we integrated EEG into an existing multi-site MRI study of infants with a higher familial likelihood of developing ASD. This paper describes the comprehensive protocol established to collect longitudinal, high-density EEG data from infants across five sites as …

Caregiver Wellness After Traumatic Brain Injury (Cg-Well): Protocol For A Randomized Clinical Trial, Natalie Kreitzer, Stephanie Fink, Opeolu Adeoye, Brad Kurowski G, Shari Wade, Heidi Sucharew, Tamilyn Bakas

2020-Current year OA Pubs

INTRODUCTION: After injury, survivors of moderate to severe traumatic brain injury (msTBI) depend on informal family caregivers. Upwards of 77 % of family caregivers experience poor outcomes, such as adverse life changes, poor health-related quality of life, and increased depressive symptoms. Caregivers frequently report minimal support or training to prepare them for their new role. The majority of previously developed caregiver and caregiver/survivor dyad interventions after msTBI focus on providing information to either survivors only, or to long-term caregivers, rather than to the new caregiver. This manuscript describes the protocol of an ongoing randomized control trial, Caregiver Wellness after TBI …

Increased Periventricular Thalamic Damage Gradient In Multiple Sclerosis Detected By Quantitative Gradient Echo Mri, Amjad Samara, Biao Xiang, Bradley Judge, John R Ciotti, Dmitriy A Yablonskiy, Anne H Cross, Matthew R Brier

2020-Current year OA Pubs

OBJECTIVE: Thalamic tissue damage in multiple sclerosis (MS) follows a 'surface-in' gradient from the ventricular surface. The clinical consequences of this gradient are not completely understood. Using quantitative gradient-recalled echo (qGRE) MRI, we evaluated a periventricular thalamic gradient of tissue integrity in MS and its relationship with clinical variables.

METHODS: Structural and qGRE MRI scans were acquired for a cohort of MS patients and healthy controls (HC). qGRE-derived R2t* values were used as a measure of tissue integrity. Thalamic segmentations were divided into 1-mm concentric bands radiating from the ventricular surface, excluding the CSF-adjacent band. Median R2t* values within these …

Dcrm 2.0: Multispecialty Practice Recommendations For The Management Of Diabetes, Cardiorenal, And Metabolic Diseases, Yehuda Handelsman, Samuel Klein, Et Al.

2020-Current year OA Pubs

The spectrum of cardiorenal and metabolic diseases comprises many disorders, including obesity, type 2 diabetes (T2D), chronic kidney disease (CKD), atherosclerotic cardiovascular disease (ASCVD), heart failure (HF), dyslipidemias, hypertension, and associated comorbidities such as pulmonary diseases and metabolism dysfunction-associated steatotic liver disease and metabolism dysfunction-associated steatohepatitis (MASLD and MASH, respectively, formerly known as nonalcoholic fatty liver disease and nonalcoholic steatohepatitis [NAFLD and NASH]). Because cardiorenal and metabolic diseases share pathophysiologic pathways, two or more are often present in the same individual. Findings from recent outcome trials have demonstrated benefits of various treatments across a range of conditions, suggesting a need …

Clinical And Research Application Of Fluid Biomarkers In Autosomal Dominant Alzheimer's Disease And Down Syndrome, María Carmona-Iragui, Antoinette O'Connor, Jorge Llibre-Guerra, Patrick Lao, Nicholas J Ashton, Juan Fortea, Raquel Sánchez-Valle

2020-Current year OA Pubs

Autosomal dominant Alzheimer's disease (ADAD) and Down syndrome (DS) constitute genetic forms of Alzheimer's disease (AD). The study of these forms has been crucial in understanding the biomarker changes and disease progression, notably in advancing our knowledge of the natural history of AD. However, some specific characteristics of biomarkers in genetically determined forms and, most importantly, the near full penetrance and predictability of disease onset lead to a very different context of use for biomarkers in these populations. This article delves into the similarities and differences in biomarker profiles between genetically determined AD and sporadic cases, discussing the implications for …

Fully Digital Workflow From Bone Augmentation To Implant-Supported Prosthetic Reconstruction, Ufuk Tatli, Koray Soygun, Orcan Yuksel

School of Dentistry Faculty Research and Publications

No abstract provided.

The Nature Of Adverse Events In Dentistry, Bunmi Tokede, Alfa Yansane, Muhammad F. Walji, D. B. Rindal, Don Worley, Joel White, Elsbeth Kalenderian

School of Dentistry Faculty Research and Publications

Objectives

Learning from clinical data on the subject of safety with regards to patient care in dentistry is still largely in its infancy. Current evidence does not provide epidemiological estimates on adverse events (AEs) associated with dental care. The goal of the dental practice study was to quantify and describe the nature and severity of harm experienced in association with dental care, and to assess for disparities in the prevalence of AEs.

Methods

Through a multistaged sampling procedure, we conducted in-depth retrospective review of patients’ dental and medical records.

Results

We discovered an AE proportion of 1.4% (95% CI, 1.1% …

Does Job Satisfaction Take A Hit? The Relationships Between Employee Cannabis Use, Job Satisfaction, And Absenteeism, Caroline Jordan Moughan

Psychology Theses & Dissertations

Despite the frequency of cannabis use, limited research has examined how employees’ cannabis use relates to job attitudes and behaviors. This study responds to calls to examine the effects of employee cannabis use on work-relevant outcomes by exploring how employee cannabis use relates to job satisfaction and voluntary absenteeism by analyzing a sample of 526 employed young adults from the most recent three waves of the National Longitudinal Survey of Youth (NLSY) Child and Young Adult Cohort. Through estimating cross-lagged panel models, this study clarifies the direction of relationships between employee cannabis use and job satisfaction, and how these relate …