Digital Commons Network^™

Understanding Spatial Language In Radiology: Representation Framework, Annotation, And Spatial Relation Extraction From Chest X-Ray Reports Using Deep Learning, Surabhi Datta, Yuqi Si, Laritza Rodriguez, Sonya E Shooshan, Dina Demner-Fushman, Kirk Roberts

Faculty, Staff and Student Publications

Radiology reports contain a radiologist's interpretations of images, and these images frequently describe spatial relations. Important radiographic findings are mostly described in reference to an anatomical location through spatial prepositions. Such spatial relationships are also linked to various differential diagnoses and often described through uncertainty phrases. Structured representation of this clinically significant spatial information has the potential to be used in a variety of downstream clinical informatics applications. Our focus is to extract these spatial representations from the reports. For this, we first define a representation framework based on the Spatial Role Labeling (SpRL) scheme, which we refer to as …

Critical Micrornas And Regulatory Motifs In Cleft Palate Identified By A Conserved Mirna-Tf-Gene Network Approach In Humans And Mice, Aimin Li, Peilin Jia, Saurav Mallik, Rong Fei, Hiroki Yoshioka, Akiko Suzuki, Junichi Iwata, Zhongming Zhao

Faculty, Staff and Student Publications

Cleft palate (CP) is the second most common congenital birth defect. The etiology of CP is complicated, with involvement of various genetic and environmental factors. To investigate the gene regulatory mechanisms, we designed a powerful regulatory analytical approach to identify the conserved regulatory networks in humans and mice, from which we identified critical microRNAs (miRNAs), target genes and regulatory motifs (miRNA-TF-gene) related to CP. Using our manually curated genes and miRNAs with evidence in CP in humans and mice, we constructed miRNA and transcription factor (TF) co-regulation networks for both humans and mice. A consensus regulatory loop (miR17/miR20a-FOXE1-PDGFRA) and eight …

Wellness Project Implementation Within Houston's Faith And Diabetes Initiative: A Mixed Methods Study, Rebecca Wells, Ellen D Breckenridge, Stephen H Linder

Faculty, Staff and Student Publications

BACKGROUND: Faith-based health promotion has shown promise for supporting healthy lifestyles, but has limited evidence of reaching scale or sustainability. In one recent such effort, volunteers from a diverse range of faith organizations were trained as peer educators to implement diabetes self-management education (DSME) classes within their communities. The purpose of this study was to identify factors associated with provision of these classes within six months of peer-educator training.

METHODS: This study used the Consolidated Framework for Implementation Research (CFIR) to identify patterns from interviews, observations, attendance records, and organizational background information. Two research team members thematically coded interview transcripts …

Covid-19 Testnorm: A Tool To Normalize Covid-19 Testing Names To Loinc Codes, Xiao Dong, Jianfu Li, Ekin Soysal, Jiang Bian, Scott L Duvall, Elizabeth Hanchrow, Hongfang Liu, Kristine E Lynch, Michael Matheny, Karthik Natarajan, Lucila Ohno-Machado, Serguei Pakhomov, Ruth Madeleine Reeves, Amy M Sitapati, Swapna Abhyankar, Theresa Cullen, Jami Deckard, Xiaoqian Jiang, Robert Murphy, Hua Xu

Faculty, Staff and Student Publications

Large observational data networks that leverage routine clinical practice data in electronic health records (EHRs) are critical resources for research on coronavirus disease 2019 (COVID-19). Data normalization is a key challenge for the secondary use of EHRs for COVID-19 research across institutions. In this study, we addressed the challenge of automating the normalization of COVID-19 diagnostic tests, which are critical data elements, but for which controlled terminology terms were published after clinical implementation. We developed a simple but effective rule-based tool called COVID-19 TestNorm to automatically normalize local COVID-19 testing names to standard LOINC (Logical Observation Identifiers Names and Codes) …

Wolff-Parkinson-White Syndrome: De Novo Variants And Evidence For Mutational Burden In Genes Associated With Atrial Fibrillation, Zeynep H Coban-Akdemir, Wu-Lin Charng, Mahshid Azamian, Ingrid S Paine, Jaya Punetha, Christopher M Grochowski, Tomasz Gambin, Santiago O Valdes, Bryan Cannon, Gladys Zapata, Patricia P Hernandez, Shalini Jhangiani, Harsha Doddapaneni, Jianhong Hu, Fatima Boricha, Donna M Muzny, Eric Boerwinkle, Yaping Yang, Richard A Gibbs, Jennifer E Posey, Xander H T Wehrens, John W Belmont, Jeffrey J Kim, Christina Y Miyake, James R Lupski, Seema R Lalani

Faculty, Staff and Student Publications

BACKGROUND: Wolff-Parkinson-White (WPW) syndrome is a relatively common arrhythmia affecting ~1-3/1,000 individuals. Mutations in PRKAG2 have been described in rare patients in association with cardiomyopathy. However, the genetic basis of WPW in individuals with a structurally normal heart remains poorly understood. Sudden death due to atrial fibrillation (AF) can also occur in these individuals. Several studies have indicated that despite ablation of an accessory pathway, the risk of AF remains high in patients compared to general population.

METHODS: We applied exome sequencing in 305 subjects, including 65 trios, 80 singletons, and 6 multiple affected families. We used de novo analysis, …

Beyond An Updated Graded Prognostic Assessment (Breast Gpa): A Prognostic Index And Trends In Treatment And Survival In Breast Cancer Brain Metastases From 1985 To Today, Paul W Sperduto, Shane Mesko, Jing Li, Daniel Cagney, Ayal Aizer, Nancy U Lin, Eric Nesbit, Tim J Kruser, Jason Chan, Steve Braunstein, Jessica Lee, John P Kirkpatrick, Will Breen, Paul D Brown, Diana Shi, Helen A Shih, Hany Soliman, Arjun Sahgal, Ryan Shanley, William Sperduto, Emil Lou, Ashlyn Everett, Drexell Hunter Boggs, Laura Masucci, David Roberge, Jill Remick, Kristin Plichta, John M Buatti, Supriya Jain, Laurie E Gaspar, Cheng-Chia Wu, Tony J C Wang, John Bryant, Michael Chuong, James Yu, Veronica Chiang, Toshimichi Nakano, Hidefumi Aoyama, Minesh P Mehta

Faculty, Staff and Student Publications

PURPOSE: Brain metastases are a common sequelae of breast cancer. Survival varies widely based on diagnosis-specific prognostic factors (PF). We previously published a prognostic index (Graded Prognostic Assessment [GPA]) for patients with breast cancer with brain metastases (BCBM), based on cohort A (1985-2007, n = 642), then updated it, reporting the effect of tumor subtype in cohort B (1993-2010, n = 400). The purpose of this study is to update the Breast GPA with a larger contemporary cohort (C) and compare treatment and survival across the 3 cohorts.

METHODS AND MATERIALS: A multi-institutional (19), multinational (3), retrospective database of 2473 …

Dietary Fat And Sugar Differentially Affect Β-Adrenergic Stimulation Of Cardiac Erk And Akt Pathways In C57bl/6 Male Mice Subjected To High-Calorie Feeding, Sadia Ashraf, Gizem Yilmaz, Xu Chen, Romain Harmancey

Faculty, Staff and Student Publications

BACKGROUND: High dietary fat and sugar promote cardiac hypertrophy independently from an increase in blood pressure. The respective contribution that each macronutrient exerts on cardiac growth signaling pathways remains unclear.

OBJECTIVE: The goal of this study was to investigate the mechanisms by which high amounts of dietary fat and sugar affect cardiac growth regulatory pathways.

METHODS: Male C57BL/6 mice (9 wk old; n = 20/group) were fed a standard rodent diet (STD; kcal% protein-fat-carbohydrate, 29-17-54), a high-fat diet (HFD; 20-60-20), a high-fat and high-sugar Western diet (WD; 20-45-35), a high-sugar diet with mixed carbohydrates (HCD; 20-10-70), or a high-sucrose diet …

Dietary Fat And Sugar Differentially Affect Β-Adrenergic Stimulation Of Cardiac Erk And Akt Pathways In C57bl/6 Male Mice Subjected To High-Calorie Feeding, Sadia Ashraf, Gizem Yilmaz, Xu Chen, Romain Harmancey

Faculty, Staff and Student Publications

BACKGROUND: High dietary fat and sugar promote cardiac hypertrophy independently from an increase in blood pressure. The respective contribution that each macronutrient exerts on cardiac growth signaling pathways remains unclear.

OBJECTIVE: The goal of this study was to investigate the mechanisms by which high amounts of dietary fat and sugar affect cardiac growth regulatory pathways.

METHODS: Male C57BL/6 mice (9 wk old; n = 20/group) were fed a standard rodent diet (STD; kcal% protein-fat-carbohydrate, 29-17-54), a high-fat diet (HFD; 20-60-20), a high-fat and high-sugar Western diet (WD; 20-45-35), a high-sugar diet with mixed carbohydrates (HCD; 20-10-70), or a high-sucrose diet …

A Validated Composite Organ And Hematologic Response Model For Early Assessment Of Treatment Outcomes In Light Chain Amyloidosis, Surbhi Sidana, Paolo Milani, Moritz Binder, Marco Basset, Nidhi Tandon, Andrea Foli, Angela Dispenzieri, Morie A Gertz, Suzanne R Hayman, Francis K Buadi, Martha Q Lacy, Prashant Kapoor, Nelson Leung, S Vincent Rajkumar, Giampaolo Merlini, Giovanni Palladini, Shaji K Kumar

Faculty, Staff and Student Publications

Newly diagnosed AL amyloidosis patients were evaluated to develop a model for early assessment of treatment benefit at 6 months, integrating both hematologic (HR) and organ response (OR) assessment (testing cohort, Mayo: n = 473; validation cohort, Pavia: n = 575). Multiple OR were assessed as follows: All OR (AOR): response in all organs, mixed OR (MOR): response in some organs, no OR (NOR)]. AOR rates at 6 months improved with deepening HR; complete response (CR; 38%, 35%), very good partial response (VGPR; 30%, 26%), and partial response (PR; 16%, 21%), respectively. A composite HR/OR (CHOR) model was developed using …

On The Estimation Of The Incidence And Prevalence In Two-Phase Longitudinal Sampling Design, Prithish Banerjee, Samiran Ghosh

Faculty, Staff and Student Publications

Two-phase sampling design is a common practice in many medical studies. Generally, the first-phase classification is fallible but relatively cheap, while the accurate second phase state-of-the-art medical diagnosis is complex and rather expensive to perform. When constructed efficiently it offers great potential for higher true case detection as well as for higher precision at a limited cost. In this article, we consider epidemiological studies with two-phase sampling design. However, instead of a single two-phase study, we consider a scenario where a series of two-phase studies are done in a longitudinal fashion on a cohort of interest. Another major design issue …

Pitfalls In Quantitative Myocardial Pet Perfusion I: Myocardial Partial Volume Correction, K Lance Gould, Linh Bui, Danai Kitkungvan, Tinsu Pan, Amanda E Roby, Tung T Nguyen, Nils P Johnson

Faculty, Staff and Student Publications

BACKGROUND: PET quantitative myocardial perfusion requires correction for partial volume loss due to one-dimensional LV wall thickness smaller than scanner resolution.

METHODS: We aimed to assess accuracy of risk stratification for death, MI, or revascularization after PET using partial volume corrections derived from two-dimensional ACR and three-dimensional NEMA phantoms for 3987 diagnostic rest-stress perfusion PETs and 187 MACE events. NEMA, ACR, and Tree phantoms were imaged with Rb-82 or F-18 for size-dependent partial volume loss. Perfusion and Coronary Flow Capacity were recalculated using different ACR- and NEMA-derived partial volume corrections compared by Kolmogorov-Smirnov statistics to standard perfusion metrics with established …

Artificial Intelligence And Digital Microscopy Applications In Diagnostic Hematopathology, Hanadi El Achi, Joseph D Khoury

Faculty, Staff and Student Publications

Digital Pathology is the process of converting histology glass slides to digital images using sophisticated computerized technology to facilitate acquisition, evaluation, storage, and portability of histologic information. By its nature, digitization of analog histology data renders it amenable to analysis using deep learning/artificial intelligence (DL/AI) techniques. The application of DL/AI to digital pathology data holds promise, even if the scope of use cases and regulatory framework for deploying such applications in the clinical environment remains in the early stages. Recent studies using whole-slide images and DL/AI to detect histologic abnormalities in general and cancer in particular have shown encouraging results. …

Deep Learning In Clinical Natural Language Processing: A Methodical Review, Stephen Wu, Kirk Roberts, Surabhi Datta, Jingcheng Du, Zongcheng Ji, Yuqi Si, Sarvesh Soni, Qiong Wang, Qiang Wei, Yang Xiang, Bo Zhao, Hua Xu

Faculty, Staff and Student Publications

OBJECTIVE: This article methodically reviews the literature on deep learning (DL) for natural language processing (NLP) in the clinical domain, providing quantitative analysis to answer 3 research questions concerning methods, scope, and context of current research.

MATERIALS AND METHODS: We searched MEDLINE, EMBASE, Scopus, the Association for Computing Machinery Digital Library, and the Association for Computational Linguistics Anthology for articles using DL-based approaches to NLP problems in electronic health records. After screening 1,737 articles, we collected data on 25 variables across 212 papers.

RESULTS: DL in clinical NLP publications more than doubled each year, through 2018. Recurrent neural networks (60.8%) …

Evidence For Gene-Smoking Interactions For Hearing Loss And Deafness In Japanese American Families, Jia Y Wan, Christina Cataby, Andrew Liem, Emily Jeffrey, Trina M Norden-Krichmar, Deborah Goodman, Stephanie A Santorico, Karen L Edwards

Faculty, Staff and Student Publications

BACKGROUND: This study investigated the relationship between smoking and hearing loss and deafness (HLD) and whether the relationship is modified by genetic variation. Data for these analyses was from the subset of Japanese American families collected as part of the American Diabetes Association Genetics of Non-insulin Dependent Diabetes Mellitus study. Logistic regression with generalized estimating equations assessed the relationship between HLD and smoking. Nonparametric linkage analysis identified genetic regions harboring HLD susceptibility genes and ordered subset analysis was used to identify regions showing evidence for gene-smoking interactions. Genetic variants within these candidate regions were then each tested for interaction with …

Examining Measurement Reactivity In Daily Diary Data On Substance Use: Results From A Randomized Experiment, Anne Buu, Songshan Yang, Runze Li, Marc A Zimmerman, Rebecca M Cunningham, Maureen A Walton

Faculty, Staff and Student Publications

The debate about whether measurement reactivity exists in daily diary research on substance use is still unsettled due to the issues of study design and statistical methodology. This study proposes a time-varying effect model (TVEM) that characterizes the trajectory of substance use behaviors with nonparametric functions determined by the data rather than imposes presumed parametric functions. It also allows researchers to investigate the effect of measurement reactivity on not only the likelihood of using substances but also the amount of substance use. The TVEM was applied to analyze diary data on alcohol and marijuana use collected from an experiment, which …

Coaction Between Physical Activity And Fruit And Vegetable Intake In Racially Diverse, Obese Adults, Natalia I Heredia, Maria E Fernandez, Alexandra E Van Den Berg, Casey P Durand, Harold W Kohl, Belinda M Reininger, Kevin O Hwang, Lorna H Mcneill

Faculty, Staff and Student Publications

PURPOSE: There is minimal understanding of the potential for coaction, defined as action on one behavior increasing the likelihood of taking action on another behavior, between physical activity (PA) and fruit and vegetable (FV) intake. The purpose of this study was to assess the bidirectional coaction between FV intake and PA, as well as self-efficacy for these behaviors, in a racially diverse sample of obese adults.

DESIGN: This is a secondary analysis using data collected from the Path to Health study, a randomized controlled trial. ClinicalTrials.gov Identifier: NCT03674229.

SAMPLE: Obese adults who completed baseline and 6-month follow-up assessments.

MEASURES: For …

Characterization Of Urinary Concentrations Of Heavy Metals Among Socioeconomically Disadvantaged Black Pregnant Women, Inkyu Han, Kristina W Whitworth, Xueying Zhang, Masoud Afshar, Pamela D Berens, Elaine Symanski

Faculty, Staff and Student Publications

The objective of this study was to characterize exposures to metals using biological samples collected on socioeconomically disadvantaged black pregnant women. We obtained 131 anonymous urine samples provided by black pregnant women visiting a Medicaid-serving prenatal clinic in Houston, TX, from March 27, 2017 to April 11, 2017. We analyzed urine samples for 15 metals including cadmium (Cd), arsenic (As), lead (Pb), and nickel (Ni) and for creatinine and cotinine. We found that median concentrations of zinc (Zn), selenium (Se), and aluminum (Al) among black pregnant women in this study were 1.5 to 3 times higher than levels reported among …

Pesticides Decrease Bacterial Diversity And Abundance Of Irrigated Rice Fields, Michael Onwona-Kwakye, Kimberly Plants-Paris, Kadiatou Keita, Jessica Lee, Paul J Van Den Brink, Jonathan N Hogarh, Charles Darkoh

Faculty, Staff and Student Publications

Bacteria play an important role in soil ecosystems and their activities are crucial in nutrient composition and recycling. Pesticides are extensively used in agriculture to control pests and improve yield. However, increased use of pesticides on agricultural lands results in soil contamination, which could have adverse effect on its bacterial communities. Here, we investigated the effect of pesticides commonly used on irrigated rice fields on bacterial abundance and diversity. Irrigated soil samples collected from unexposed, pesticide-exposed, and residual exposure areas were cultured under aerobic and anaerobic conditions. DNA was extracted and analysed by 16S rRNA sequencing. The results showed overall …

Patients' Perspectives Of Tuberculosis Treatment Challenges And Barriers To Treatment Adherence In Ukraine: A Qualitative Study, Omowunmi Aibana, Emily Dauria, Tetiana Kiriazova, Olena Makarenko, Mariya Bachmaha, Natasha Rybak, Timothy Palen Flanigan, Vasyl Petrenko, Anne E Becker, Megan B Murray

Faculty, Staff and Student Publications

OBJECTIVES: To understand the challenges faced by patients with tuberculosis (TB) and factors that influence TB treatment adherence in Ukraine.

DESIGN: Qualitative study.

SETTING: TB treatment facilities in Kyiv Oblast, Ukraine.

PARTICIPANTS: Sixty adults who had undergone treatment for drug-sensitive TB between June 2012 and August 2015.

METHODS: We conducted semistructured, in-depth, individual interviews among a purposively selected clinical sample of patients previously treated for drug-sensitive TB. Interview content encompassed WHO's framework for barriers to adherence to long-term therapies and included questions about patient preferences and motivators concerning treatment adherence. We examined treatment experience across strata defined by previously identified …

Role Of Dendritic Cell-Mediated Immune Response In Oral Homeostasis: A New Mechanism Of Osteonecrosis Of The Jaw, Ranya Elsayed, Zoya Kurago, Christopher W Cutler, Roger M Arce, Jennifer Gerber, Esteban Celis, Hussein Sultan, Mahmoud Elashiry, Mohamed Meghil, Christina Sun, Caroline M Auersvald, Mohamed E Awad, Rana Zeitoun, Riham Elsayed, Mohey Eldin M Elshikh, Carlos Isales, Mohammed E Elsalanty

Faculty, Staff and Student Publications

Dendritic cells are an important link between innate and adaptive immune response. The role of dendritic cells in bone homeostasis, however, is not understood. Osteoporosis medications that inhibit osteoclasts have been associated with osteonecrosis, a condition limited to the jawbone, thus called medication-related osteonecrosis of the jaw. We propose that disruption of the local immune response renders the oral microenvironment conducive to osteonecrosis. We tested whether zoledronate (Zol) treatment impaired dendritic cell (DC) functions and increased bacterial load in alveolar bone in vivo and whether DC inhibition alone predisposed the animals to osteonecrosis. We also analyzed the role of Zol …

Age Of Acquisition Impacts The Brain Differently Depending On Neuroanatomical Metric, Hannah Claussenius-Kalman, Kelly A Vaughn, Pilar Archila-Suerte, Arturo E Hernandez

Faculty, Staff and Student Publications

Although researchers generally agree that a certain set of brain areas underlie bilingual language processing, there is discrepancy regarding what effect timing of language acquisition has on these regions. We aimed to investigate the neuroanatomical correlates of age of acquisition (AoA), which has been examined previously, but with inconsistent results, likely influenced by methodological differences across studies. We analyzed gray matter density, volume, and thickness using whole-brain linear models in 334 bilinguals and monolinguals. Neuroanatomical correlates of AoA differed depending on gray matter metric. Relative to early bilinguals, late bilinguals had thicker cortex in language processing and cognitive control regions, …

Periodontal Inflammation: Integrating Genes And Dysbiosis, Shaoping Zhang, Ning Yu, Roger M Arce

Faculty, Staff and Student Publications

Biofilm bacteria co-evolve and reach a symbiosis with the host on the gingival surface. The disruption of the homeostatic relationship between plaque bacteria and the host can initiate and promote periodontal disease progression. Recent advances in sequencing technologies allow researchers to profile disease-associated microbial communities and quantify microbial metabolic activities and host transcriptional responses. In addition to confirming the findings from previous studies, new putative pathogens and novel genes that have not previously been associated with periodontitis, emerge. For example, multiple studies have reported that Synergistetes bacteria are associated with periodontitis. Genes involved in epithelial barrier defense were downregulated in …

Everolimus-Induced Pneumonitis: A Diagnostic Challenge, Andrew Gulde, Elshad Hasanov, Kayla Krug, Gus W Krucke

Faculty, Staff and Student Publications

No abstract provided.

Ablation Of Refractory Papillary Muscle Ventricular Tachycardia Warranting Multiple Adjunctive Ablation Techniques: A Combined Approach For Success, Mark Pollet, Ben Jenny, Adwait Mehta, Austin Howard, Nilesh Mathuria

Faculty, Staff and Student Publications

A 27-year-old male presented to our institution with recurrent unifocal premature ventricular contraction/nonsustained ventricular tachycardia (VT) with associated cardiomyopathy. The patient had undergone three prior ablation procedures with continued arrhythmia. Mapping led to identification of the VT arising from the basal aspect of the left ventricular anterolateral papillary muscle. Conventional ablation techniques were unsuccessful. We incorporated adjunctive ablation techniques in this case that ultimately led to a successful outcome. The present discussion covers the roles of intracardiac echocardiography, induced apnea, and low-ionic irrigation.

Assessing Lymphatic Route Of Csf Outflow And Peripheral Lymphatic Contractile Activity During Head-Down Tilt Using Near-Infrared Fluorescence Imaging, John C Rasmussen, Sunkuk Kwon, Amanda Pinal, Alexander Bareis, Fred C Velasquez, Christopher F Janssen, John R Morrow, Caroline E Fife, Ron J Karni, Eva M Sevick-Muraca

Faculty, Staff and Student Publications

Evidence overwhelmingly suggests that the lymphatics play a critical role in the clearance of cerebrospinal fluid (CSF) from the cranial space. Impairment of CSF outflow into the lymphatics is associated with a number of pathological conditions including spaceflight-associated neuro-ocular syndrome (SANS), a problem that limits long-duration spaceflight. We used near-infrared fluorescence lymphatic imaging (NIRFLI) to dynamically visualize the deep lymphatic drainage pathways shared by CSF outflow and disrupted during head-down tilt (HDT), a method used to mimic the cephalad fluid shift that occurs in microgravity. After validating CSF clearance into the lymph nodes of the neck in swine, a pilot …

Diagnostic Criteria For Detection Of Retinal Nerve Fibre Layer Thickness And Neuroretinal Rim Width Abnormalities In Glaucoma, Feihui Zheng, Marco Yu, Christopher Kai-Shun Leung

Faculty, Staff and Student Publications

BACKGROUND/AIMS: Although measurements of the Bruch's membrane opening minimum rim width (BMO-MRW) and retinal nerve fibre layer thickness (RNFLT) with optical coherence tomography (OCT) have been widely adopted in the diagnostic evaluation of glaucoma, there is no consensus on the diagnostic criteria to define BMO-MRW and RNFLT abnormalities. This study investigated the sensitivities and specificities of different diagnostic criteria based on the OCT classification reports for detection of glaucoma.

METHODS: 340 eyes of 137 patients with glaucoma and 87 healthy individuals, all with axial length ≤26mm, had global and sectoral BMO-MRW and RNFLT measured with Spectralis OCT (Heidelberg Engineering). Six …

Evaluation Of Mitochondrial Dna Copy Number Estimation Techniques, Ryan J Longchamps, Christina A Castellani, Stephanie Y Yang, Charles E Newcomb, Jason A Sumpter, John Lane, Megan L Grove, Eliseo Guallar, Nathan Pankratz, Kent D Taylor, Jerome I Rotter, Eric Boerwinkle, Dan E Arking

Faculty, Staff and Student Publications

Mitochondrial DNA copy number (mtDNA-CN), a measure of the number of mitochondrial genomes per cell, is a minimally invasive proxy measure for mitochondrial function and has been associated with several aging-related diseases. Although quantitative real-time PCR (qPCR) is the current gold standard method for measuring mtDNA-CN, mtDNA-CN can also be measured from genotyping microarray probe intensities and DNA sequencing read counts. to conduct a comprehensive examination on the performance of these methods, we use known mtDNA-CN correlates (age, sex, white blood cell count, Duffy locus genotype, incident cardiovascular disease) to evaluate mtDNA-CN calculated from qPCR, two microarray platforms, as well …

Documenting And Understanding Workplace Injuries Among Latino Day Laborers, Maria Eugenia Fernández-Esquer, Cecilia F Aguerre, Martha Ojeda, Louis D Brown, John S Atkinson, Jayson M Rhoton, Cristina Espinosa Da Silva, Pamela M Diamond

Faculty, Staff and Student Publications

BACKGROUND: Latino day laborers face substantial injuries at work. We present a comprehensive assessment of their injury experience and explore the predictors of selfreported injuries.

METHODS: Worker and injury characteristics were collected from 331 day laborers using an innnovative injury assessment tool. The odds of injury were estimated using a logistic regression.

RESULTS: Participants were foreign-born, Spanish monolingual, and employed in construction. Sixty-seven individuals reported 88 past-year injuries, mostly involving the upper or lower extremities. Injuries were caused by moving heavy objects, falling, or being struck an object. Of the documented injuries, 24% were not reported at work due to …

Individual And Community Social Determinants Of Health Associated With Diabetes Management In A Mexican American Population, Kehe Zhang, Belinda Reininger, Miryoung Lee, Qian Xiao, Cici Bauer

Faculty, Staff and Student Publications

Background: Diabetes is a major health burden in Mexican American populations, especially among those in the Lower Rio Grande Valley (LRGV) in the border region of Texas. Understanding the roles that social determinants of health (SDOH) play in diabetes management programs, both at the individual and community level, may inform future intervention strategies.

Methods: This study performed a secondary data analysis on 1,568 individuals who participated in Salud y Vida (SyV), a local diabetes and chronic disease management program, between October 2013 and September 2018 recruited from a local clinic. The primary outcome was the reduction of hemoglobin A1C (HbA1C) …

Longitudinal Sensitivity Of Alzheimer's Disease Severity Staging, Julia S Benoit, Wenyaw Chan, Linda Piller, Rachelle Doody

Faculty, Staff and Student Publications

Understanding Alzheimer's disease (AD) dynamics is essential in diagnosis and measuring progression for clinical decision-making; however, clinical instruments are imperfect at classifying true disease stages. This research evaluates sensitivity and determinants of AD stage changes longitudinally using current classifications of "mild," "moderate," and "severe" AD, using Mini-Mental State Examination (MMSE), Alzheimer's Disease Assessment Scale-Cognitive subscale (ADAS-Cog), and the Clinical Dementia Rating-Sum of Boxes (CDR-SB) thresholds. Age and pre-progression rate were significant determinants of AD progression using MMSE alone to stage AD, and pre-progression was found to impact disease progression with CDR-SB. Sensitivity of these instruments for identifying clinical stages of …