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Articles 53941 - 53970 of 325315

Full-Text Articles in Medicine and Health Sciences

Association Between Depression And Coronary Heart Disease: A Cross-Sectional Study Using Behavioral Risk Factor Surveillance System (Brfss), 2022, Juliana Monono May 2024

Association Between Depression And Coronary Heart Disease: A Cross-Sectional Study Using Behavioral Risk Factor Surveillance System (Brfss), 2022, Juliana Monono

Capstone Experience: Master of Public Health

Objectives: To examine the association of depression and coronary heart disease in U.S. adults.

Methods: This cross-sectional study uses the Behavioral Risk Factor Surveillance System (BRFSS), 2022 data for non-institutionalized U.S adults aged 18 and older. The exposure variable is depression, the outcome is coronary heart disease (CHD), and covariates are age, race, education, and physical activity. Performed univariate, bivariate, and multivariate analyses to assess the association between depression and CHD.

Results: The analytical sample size consisted of 427,217 individuals. A total of 88,841(20.7%) of the population reported having coronary heart disease, while 338,376(70.3%) reported having no …


Examining The Association Between Smoking Frequency And Long Covid: A Brfss Study, Bhavya Patel May 2024

Examining The Association Between Smoking Frequency And Long Covid: A Brfss Study, Bhavya Patel

Capstone Experience: Master of Public Health

Objectives: To examine the relationship between self-reported smoking frequency and the presence of Long COVID among individuals who tested positive for COVID-19.

Methods: A cross-sectional study was conducted using a sample of 44,738 COVID-positive participants from the 2022 Behavioral Risk Factor Surveillance System (BRFSS) dataset. Logistic regression was utilised to compute prevalence odds ratios (pOR) and was adjusted for potential sociodemographic confounders.

Results: Individuals who smoked daily were found to have a greater likelihood of reporting Long COVID in comparison with nonsmokers (Crude pOR=1.22; CI= [1.10-1.35]). However, in the adjusted regression model, daily smoking was no longer significant (Adjusted pOR=1.04; …


Association Between Long Covid-19 And Insurance Status Using The Behavioral Risk Factor Surveillance System (2022), Elizabeth E. Osbourn May 2024

Association Between Long Covid-19 And Insurance Status Using The Behavioral Risk Factor Surveillance System (2022), Elizabeth E. Osbourn

Capstone Experience: Master of Public Health

Objective. To determine if insurance status can directly predict self-diagnosed Long COVID and what sociodemographic factors are significantly associated with a self-diagnosis of Long COVID among those who tested positive for COVID-19.

Methods. This cross-sectional study uses data from the 2022 Behavioral Risk Factor Surveillance System to conduct a multivariate logistic regression model analysis. Out of 445,132 participants, 110,402 participants were identified to be used in this study.

Results. After testing positive for COVID-19, 21.7% of individuals were self-diagnosed with Long COVID. After controlling for confounders, insurance status wasn't significant (p-value: 0.8458). However, in crude analysis, individuals with Medicaid (cPOR:1.44; …


Cervical Cancer Screening And Affordability Of Medical Care: A Cross-Sectional Study, Sarah M. Johnson May 2024

Cervical Cancer Screening And Affordability Of Medical Care: A Cross-Sectional Study, Sarah M. Johnson

Capstone Experience: Master of Public Health

Objective: To determine if, among women aged 21-65, there is a positive association between avoiding healthcare due to cost and not being up to date on cervical cancer screening.

Methods: This cross-sectional study utilized the 2022 Behavioral Risk Factor Surveillance System dataset. A total of 123,275 women, aged 18-69 without a hysterectomy, were analyzed with bivariate and multivariate analyses. The outcome was length of time since last cervical cancer screening. The exposure was avoiding healthcare in the last 12 months due to cost.

Results: Women who avoided healthcare due to cost had higher odds of not being up to date …


A Cross-Sectional Analysis Of Self-Reported Long Covid And Binge Drinking Amongst Covid-Positive Individuals Using The Behavioral Risk Factor Surveillance System (Brfss), 2022, Maire Kirley May 2024

A Cross-Sectional Analysis Of Self-Reported Long Covid And Binge Drinking Amongst Covid-Positive Individuals Using The Behavioral Risk Factor Surveillance System (Brfss), 2022, Maire Kirley

Capstone Experience: Master of Public Health

Objective: Identify an association between Long COVID (exposure) and binge drinking (outcome) amongst COVID-positive individuals.

Methods: COVID-positive respondents (n=116,120) were sampled from the 2022 Behavioral Risk Factor Surveillance System (BRFSS). Univariate analysis assessed distribution of Long COVID, binge drinking, and covariates sex, age, race/ethnicity, education, income, rural/urban residency, veteran status and BMI. Bivariate analysis determined crude prevalence odds ratios (POR) between exposure, outcome, and covariates. Multivariate logistic regression determined adjusted prevalence odds ratios (aPOR) and 95% confidence intervals (95% CI) for exposure, outcome and covariates.

Results: No association found between Long COVID and binge drinking (aPOR: 0.94 (95% CI: 0.87, …


Heartache Beyond The Physical: Unraveling The Nexus Between Myocardial Infarction History And Depressive Disorders In Us Adults, Sonika Khanal May 2024

Heartache Beyond The Physical: Unraveling The Nexus Between Myocardial Infarction History And Depressive Disorders In Us Adults, Sonika Khanal

Capstone Experience: Master of Public Health

Objective: To estimate the prevalence of depressive disorders among US adults and explore the association between a history of Myocardial Infarction (MI) and depressive disorders, considering potential risk factors and demographic variables.

Methods: A cross-sectional study was conducted from 2022 Behavioral Risk Factor Surveillance System data, including 390,429 US adults. Logistic regression was used to estimate the association between the history of MI and depressive disorders, adjusting for age, gender, race, smoking status, health insurance, education level, and BMI. Effect modification by age was assessed.

Results: The prevalence of depressive disorders was 21.19%, with 4.46% reporting a …


Examining The Relationship Between Deafness And Mental Health Status: An Analysis Of The Behavioral Risk Factor Surveillance System (Brfss) 2022, Brianna Stroud-Williams May 2024

Examining The Relationship Between Deafness And Mental Health Status: An Analysis Of The Behavioral Risk Factor Surveillance System (Brfss) 2022, Brianna Stroud-Williams

Capstone Experience: Master of Public Health

Objective: The objective of the research is to examine the association between mental health status as measured by number of mentally healthy days in the past month and deafness and binge drinking.

Methods: The Behavioral Risk Factor Surveillance System (BRFSS) study was conducted via telephone survey in 50 states, including the District of Columbia and US territories. The sample size is 402,156 participants. Univariate, bivariate, and multivariate regressions, odds ratio, and 95% confidence interval were used to measure the data.

Results: Deaf respondents have 1.56 times the odds of having poor mental health than those who are not deaf. (95% …


The Impact Of Household Income On The Development Of Long-Covid After Covid-19 Infection, Clayton Mowrer May 2024

The Impact Of Household Income On The Development Of Long-Covid After Covid-19 Infection, Clayton Mowrer

Capstone Experience: Master of Public Health

Objective

Long-COVID can occur following coronavirus-19 infection and can have debilitating consequences. It is unclear how household income (a social determinant of health) might impact the development of long-COVID. This study aims to characterize and compare the prevalence of long-COVID in persons who have been diagnosed with COVID-19, according to household income.

Methods

Using data from the 2022 Behavioral Risk Factor Surveillance System Questionnaire, 124,313 respondents who reported a diagnosis of COVID-19 infection were analyzed for the development of long-COVID (outcome) and compared across annual household income (exposure). Other demographic and socioeconomic factors were similarly analyzed.

Results

The prevalence of …


Factors Predictive Of The Development Of Surgical Site Infection In Thyroidectomy, A Replication Study Of Myssiorek (2018), Kaitlyn M. Kenig May 2024

Factors Predictive Of The Development Of Surgical Site Infection In Thyroidectomy, A Replication Study Of Myssiorek (2018), Kaitlyn M. Kenig

Capstone Experience: Master of Public Health

The original study aimed to show that thyroidectomy does not result in surgical site infection (SSI) in most cases, and thus routine prescription of antibiotics is not necessary. The study looked to see what risk factors could predict the incidence of SSI. This would highlight those individuals who were at most risk of developing SSI, and then antibiotics would only be prescribed to these individuals instead of all or most individuals who undergo thyroidectomy.

This study used NSQIP data to look at incidence of SSI and look for risk factors that may be predictive of SSI. Only surgeries that were …


A Replication Study-Postoperative Complications In Bariatric Surgery Using Age And Bmi Stratification: A Stusy Using Acs-Nsqip Data (2014), Aruna Sree Posanipalle May 2024

A Replication Study-Postoperative Complications In Bariatric Surgery Using Age And Bmi Stratification: A Stusy Using Acs-Nsqip Data (2014), Aruna Sree Posanipalle

Capstone Experience: Master of Public Health

This study aims to replicate the findings of Sanni et al.'s (2014) research on postoperative complications in bariatric surgery patients. The original research utilized age and BMI stratification and data from the American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) to identify the relationship between these variables and postoperative complications. The findings of the original study revealed significant associations between age, BMI, and postoperative complications. The replication plan aims to confirm these associations and identify the factors that lead to postoperative complications in patients undergoing bariatric surgery. The replication study proposes a comprehensive plan consisting of three …


Exploring The Impact Of A History Of Depression On Physical Activity In The United States: A Cross-Sectional Study, Behavioral Risk Factor Surveillance System (Brfss), 2022, Maxime Kwizera May 2024

Exploring The Impact Of A History Of Depression On Physical Activity In The United States: A Cross-Sectional Study, Behavioral Risk Factor Surveillance System (Brfss), 2022, Maxime Kwizera

Capstone Experience: Master of Public Health

Objective: To determine the association between a history of depression and engagement in physical activity among U.S. adults.

Method: Data were from the 2022 Behavioral Risk Factor Surveillance System survey (N=441,348). Univariate and bivariate analyses were performed to determine the distribution of sample characteristics and crude prevalence odds ratios. Weighted multivariate logistic regression stratified by age group assessed the relationship between physical activity engagement and covariates.

Results: In our sample, 20.63% had a history of depression, and 23.89% of adults reported not exercising within the past 30 days. Adults with a history of depression had 1.42 times the odds …


Exploring Binding Pockets In The Conformational States Of The Sars-Cov-2 Spike Trimers For The Screening Of Allosteric Inhibitors Using Molecular Simulations And Ensemble-Based Ligand Docking, Grace Gupta, Gennady M. Verkhivker May 2024

Exploring Binding Pockets In The Conformational States Of The Sars-Cov-2 Spike Trimers For The Screening Of Allosteric Inhibitors Using Molecular Simulations And Ensemble-Based Ligand Docking, Grace Gupta, Gennady M. Verkhivker

Mathematics, Physics, and Computer Science Faculty Articles and Research

Understanding mechanisms of allosteric regulation remains elusive for the SARS-CoV-2 spike protein, despite the increasing interest and effort in discovering allosteric inhibitors of the viral activity and interactions with the host receptor ACE2. The challenges of discovering allosteric modulators of the SARS-CoV-2 spike proteins are associated with the diversity of cryptic allosteric sites and complex molecular mechanisms that can be employed by allosteric ligands, including the alteration of the conformational equilibrium of spike protein and preferential stabilization of specific functional states. In the current study, we combine conformational dynamics analysis of distinct forms of the full-length spike protein trimers and …


Antioxidant Activities And Protective Effects Of Shorea Macrophylla Leaf And Bark Extracts, Salfarina Ramli, Nik Nor Sabrina Sukri, Nur Adhwa’ Faqihah Zulkifli, Donna Maretta Ariestanti, Chee Yan Choo, Hasseri Halim, Nurhuda Manshoor, Richard Johari James May 2024

Antioxidant Activities And Protective Effects Of Shorea Macrophylla Leaf And Bark Extracts, Salfarina Ramli, Nik Nor Sabrina Sukri, Nur Adhwa’ Faqihah Zulkifli, Donna Maretta Ariestanti, Chee Yan Choo, Hasseri Halim, Nurhuda Manshoor, Richard Johari James

Pharmaceutical Sciences and Research

Shorea macrophylla, also known as the ‘Engkabang’ tree or Light Red Meranti, is renowned for its role in reforestation efforts. Despite lacking records of traditional use, the reported biological activities of other species within the Shorea genus spark curiosity about the potential biological activities of this plant. Therefore, this study aims to explore the antioxidant capabilities of S. macrophylla leaf and bark extracts, along with their protective effects against oxidative stress using a brine shrimp model. In the evaluation of antioxidant potential, 2,2-diphenyl-1-picrylhydrazyl (DPPH) and ferric reducing antioxidant power (FRAP) assays were employed. Extracts were incubated in …


Impact Of Strategic Postweaning Supplementation On March- And May-Born Yearling Range Heifer And Calf Growth And Performance In The Nebraska Sandhills, Josie Nicole Crouch May 2024

Impact Of Strategic Postweaning Supplementation On March- And May-Born Yearling Range Heifer And Calf Growth And Performance In The Nebraska Sandhills, Josie Nicole Crouch

Department of Animal Science: Dissertations, Theses, and Student Research

Three experiments were conducted at the Gudmundsen Sandhills laboratory near Whitman, Nebraska. Experiment 1, a retrospective regression analysis, evaluated the impact of heifer percentage of mature body weight (BW) at breeding on heifer performance, subsequent pregnancy rates, and calf production. Overall pregnancy rates were greater (P < 0.01) for heifers at 60 to 70% of mature BW than 50 to 55%, with no differences in pregnancy rates (P ≥ 0.15) after 2-years of age. Heifers at 50 to 60% of mature BW had a greater (P = 0.05) proportion give birth in the first 21-d. A higher percentage of mature BW at breeding resulted in greater (P < 0.01) BW at birth and weaning for offspring.

Experiments 2 and 3 were 3-year studies that evaluated the impact …


Artificial Insemination And Fetal Programming In Beef Production Systems, Dempster M. Christenson May 2024

Artificial Insemination And Fetal Programming In Beef Production Systems, Dempster M. Christenson

Department of Animal Science: Dissertations, Theses, and Student Research

Pregnancy to artificial insemination and late gestation fetal programming of the next calf crop are central to genetic development, reproductive longevity, calf crop productivity, and efficiency of cow/calf ranching. The purposes of this research are to find methods to improve pregnancy rate to artificial insemination, the growth and reproductive health of pregnant heifers, and the productivity of their offspring. In the first of four studies we found that extending the period of progesterone administration in an estrus synchronization protocol did not significantly hasten estrus response or increase pregnancy rate to artificial insemination, but timing of estrus within the melengestrol acetate …


Associations Of Body Adiposity Index, Body Mass Index, Waist Circumference, And Percentage Of Body Fat In Young Female Emirati Adults, Dalia Haroun, Maryam Darwish, Aseel Ehsanallah May 2024

Associations Of Body Adiposity Index, Body Mass Index, Waist Circumference, And Percentage Of Body Fat In Young Female Emirati Adults, Dalia Haroun, Maryam Darwish, Aseel Ehsanallah

All Works

Body Adiposity Index (BAI), which relies on an individual’s hip circumference and height, was proposed as an alternative anthropometric measurement to Body Mass Index (BMI). Although this measure has been validated across different populations, its accuracy in predicting percent body fat (%BF) in the United Arab Emirates has not yet been assessed. The objective of this study was to examine the association between BAI, BMI, Waist Circumference (WC), and %BF in young female Emirati adults and determine the relative accuracy of BAI when predicting %BF. A retrospective cross-sectional study was conducted among 95 Emirati women between the ages of 17 …


Association Of Variability And Hypertensive Loads In 24-H Blood Pressure With Mortality And Cardiovascular Risk, Jesus D. Melgarejo, Dhrumil Patil, Luis J. Mena, Kristina P. Vatcheva, Jose A. Garcia, Claudia Satizabal, Carlos A. Chavez, Rosa V. Pirela, Sudha Seshadri, Gladys E. Maestre May 2024

Association Of Variability And Hypertensive Loads In 24-H Blood Pressure With Mortality And Cardiovascular Risk, Jesus D. Melgarejo, Dhrumil Patil, Luis J. Mena, Kristina P. Vatcheva, Jose A. Garcia, Claudia Satizabal, Carlos A. Chavez, Rosa V. Pirela, Sudha Seshadri, Gladys E. Maestre

School of Medicine Publications

Background: Evidence shows that high 24-h blood pressure (BP) variability increases cardiovascular risk. We investigated whether 24-h BP variability relates to mortality and cardiovascular risk due to inherent variability and/or hypertensive loads in 24-h BP.

Methods: A total of 1050 participants from the Maracaibo Aging Study (mean age, 66y; women, 67.2%) underwent 24-h ambulatory BP monitoring and were followed between 2001-2016. To evaluate inherent BP variability, we used average real variability (ARV) as it captures variability among consecutive BP readings. 24-h systolic BP load was the proportion (%) of systolic BP readings ≥130 mmHg during the daytime and ≥110 during …


Targeted Accurate Rna Consensus Sequencing (Tarc-Seq) Reveals Mechanisms Of Replication Error Affecting Sars-Cov-2 Divergence, Catherine C Bradley, Chen Wang, Alasdair J E Gordon, Alice X Wen, Pamela N Luna, Matthew B Cooke, Brendan F Kohrn, Scott R Kennedy, Vasanthi Avadhanula, Pedro A Piedra, Olivier Lichtarge, Chad A Shaw, Shannon E Ronca, Christophe Herman May 2024

Targeted Accurate Rna Consensus Sequencing (Tarc-Seq) Reveals Mechanisms Of Replication Error Affecting Sars-Cov-2 Divergence, Catherine C Bradley, Chen Wang, Alasdair J E Gordon, Alice X Wen, Pamela N Luna, Matthew B Cooke, Brendan F Kohrn, Scott R Kennedy, Vasanthi Avadhanula, Pedro A Piedra, Olivier Lichtarge, Chad A Shaw, Shannon E Ronca, Christophe Herman

Duncan NRI Faculty and Staff Publications

RNA viruses, like SARS-CoV-2, depend on their RNA-dependent RNA polymerases (RdRp) for replication, which is error-prone. Monitoring replication errors is crucial for understanding the virus’s evolution. Current methods lack the precision to detect rare de novo RNA mutations, particularly in low-input samples such as those from patients. Here, we introduce a new targeted Accurate RNA Consensus sequencing method (tARC-seq) to accurately determine the mutation frequency and types in SARS-CoV-2, both in cell culture and clinical samples. Our findings show an average of 2.68×10−5 new errors per cycle with a C>T bias that cannot be solely attributed to APOBEC …


Integrating Collective Art Healing Practices Into Contemporary Art Therapy, Taleene Armen, Nicole Aviel, Ej Liao, Brianna Mitjans, Mandy Schuster May 2024

Integrating Collective Art Healing Practices Into Contemporary Art Therapy, Taleene Armen, Nicole Aviel, Ej Liao, Brianna Mitjans, Mandy Schuster

LMU Theses and Dissertations

Five graduate students from the Marital and Family Art Therapy Program at Loyola Marymount University (LMU) conducted a research study to explore the characteristics and attributes of collective art practices and how they contribute to healing. A survey including quantitative measures and qualitative responses were administered on the Qualtrics platform, allowing for a wide geographic reach and rapid data collection. The subsequent qualitative analysis involved the creation of visual artworks by the researchers, utilizing the arts as data to identify additional common themes contributing to healing attributes. The data revealed three major themes, or characteristics, of how art contributes to …


Perceptions Of Applied Behavior Analysis Therapy On Children With Autism Spectrum Disorder Via Social Media, Kaitlyn Drilling May 2024

Perceptions Of Applied Behavior Analysis Therapy On Children With Autism Spectrum Disorder Via Social Media, Kaitlyn Drilling

Honors Thesis

The use of Applied Behavioral Analysis Therapy (ABA) on children with Autism Spectrum Disorder (ASD) is a controversial topic. Stakeholders have strong opinions, and the use of social media allows them to reach a bigger audience to share their perceptions. Stakeholders such as parents of children with ASD, adults with ASD who have been treated using ABA therapy, and ABA clinicians themselves may post on long-form social media such as Reddit or Facebook to ASD specific forums. These forums provide stakeholders with information, community, and support that they might not have otherwise. The perceptions of ABA on children with ASD …


Sports Science: An Entrepreneurial Venture, Nicole J. Jones May 2024

Sports Science: An Entrepreneurial Venture, Nicole J. Jones

Senior Honors Projects

In sports science, ensuring maximum athlete safety and optimizing data utilization are pivotal yet leave room for further work. My project, Unbeaten SafeWare, addresses these critical issues by focusing on two primary concerns: preventing heat-related and cardiac illnesses, which are significant causes of athlete fatalities, and enhancing the transparency and utility of sports data. This initiative involves developing a shirt integrated with sensors to monitor vital signs and an athlete management system to handle data input, storage, analysis, and accessibility for athletes.

The project has advanced through the efforts of a multidisciplinary team, which includes biomedical engineering undergraduates, two faculty …


A Randomized Controlled Study Of The Effects Of Targeted Health Education On Uptake Of Contraceptives Among Women Of Reproductive Age In Nnewi City, South-East Nigeria, Yanmeer Tyotswam, Rosebella Iseme-Ondiek, Eliphas Makunyi May 2024

A Randomized Controlled Study Of The Effects Of Targeted Health Education On Uptake Of Contraceptives Among Women Of Reproductive Age In Nnewi City, South-East Nigeria, Yanmeer Tyotswam, Rosebella Iseme-Ondiek, Eliphas Makunyi

Population Health, East Africa

Objective: There is a need for contraception uptake among people to enable them to fulfil their right to determine the timing, number and spacing of their children. In regions with poor contraceptive prevalence rates, lack of effective education has been largely implicated, and Nigeria falls among such regions. Thus, the present study is designed to examine the impact of an educational intervention on uptake of contraceptives among women aged 18–49 years seeking care at the Nnamdi Azikiwe University Teaching Hospital Nnewi.

Methods: Being an interventional study to underscore the effect of targeted health education on uptake of contraceptives, …


Model Tuning Or Prompt Tuning? A Study Of Large Language Models For Clinical Concept And Relation Extraction, Cheng Peng, Xi Yang, Kaleb E Smith, Zehao Yu, Aokun Chen, Jiang Bian, Yonghui Wu May 2024

Model Tuning Or Prompt Tuning? A Study Of Large Language Models For Clinical Concept And Relation Extraction, Cheng Peng, Xi Yang, Kaleb E Smith, Zehao Yu, Aokun Chen, Jiang Bian, Yonghui Wu

Faculty, Staff and Student Publications

Objective: To develop soft prompt-based learning architecture for large language models (LLMs), examine prompt-tuning using frozen/unfrozen LLMs, and assess their abilities in transfer learning and few-shot learning.

Methods: We developed a soft prompt-based learning architecture and compared 4 strategies including (1) fine-tuning without prompts; (2) hard-prompting with unfrozen LLMs; (3) soft-prompting with unfrozen LLMs; and (4) soft-prompting with frozen LLMs. We evaluated GatorTron, a clinical LLM with up to 8.9 billion parameters, and compared GatorTron with 4 existing transformer models for clinical concept and relation extraction on 2 benchmark datasets for adverse drug events and social determinants of health (SDoH). …


Dpar: Decoupled Graph Neural Networks With Node-Level Differential Privacy, Qiuchen Zhang, Hong Kyu Lee, Jing Ma, Jian Lou, Carl Yang, Li Xiong May 2024

Dpar: Decoupled Graph Neural Networks With Node-Level Differential Privacy, Qiuchen Zhang, Hong Kyu Lee, Jing Ma, Jian Lou, Carl Yang, Li Xiong

Faculty, Staff and Student Publications

Graph Neural Networks (GNNs) have achieved great success in learning with graph-structured data. Privacy concerns have also been raised for the trained models which could expose the sensitive information of graphs including both node features and the structure information. In this paper, we aim to achieve node-level differential privacy (DP) for training GNNs so that a node and its edges are protected. Node DP is inherently difficult for GNNs because all direct and multi-hop neighbors participate in the calculation of gradients for each node via layer-wise message passing and there is no bound on how many direct and multi-hop neighbors …


Antihypertensive Medications And Risk Of Melanoma And Keratinocyte Carcinomas: A Systematic Review And Meta-Analysis, Olivia G Cohen, Matthew Taylor, Cassandra Mohr, Kevin T Nead, Candice L Hinkston, Sharon H Giordano, Sinead M Langan, David J Margolis, Mackenzie R Wehner May 2024

Antihypertensive Medications And Risk Of Melanoma And Keratinocyte Carcinomas: A Systematic Review And Meta-Analysis, Olivia G Cohen, Matthew Taylor, Cassandra Mohr, Kevin T Nead, Candice L Hinkston, Sharon H Giordano, Sinead M Langan, David J Margolis, Mackenzie R Wehner

Faculty, Staff and Student Publications

Some antihypertensive medications are photosensitizing. The implications for skin cancer risk remain unclear because results from prior studies are inconsistent and as new evidence is published. We performed a systematic review and meta-analysis to evaluate the association between antihypertensives and common skin cancers (cutaneous squamous cell carcinoma, basal cell carcinoma, and melanoma) and to evaluate dose-response relationships. Forty-four articles met inclusion criteria, and 42 could be meta analyzed. Increased risks were seen for basal cell carcinoma with calcium channel blockers (relative risk [RR] = 1.17, 95% confidence interval [CI] = 1.11-1.22), diuretics (RR = 1.06, 95% CI = 1.03-1.10), and …


A Radiotherapy Community Data-Driven Approach To Determine Which Complexity Metrics Best Predict The Impact Of Atypical Tps Beam Modeling On Clinical Dose Calculation Accuracy, Fre'etta Mae Dayo Brooks, Mallory Carson Glenn, Victor Hernandez, Jordi Saez, Hunter Mehrens, Julianne Marie Pollard-Larkin, Rebecca Maureen Howell, Christine Burns Peterson, Christopher Lee Nelson, Catharine Helen Clark, Stephen Frasier Kry May 2024

A Radiotherapy Community Data-Driven Approach To Determine Which Complexity Metrics Best Predict The Impact Of Atypical Tps Beam Modeling On Clinical Dose Calculation Accuracy, Fre'etta Mae Dayo Brooks, Mallory Carson Glenn, Victor Hernandez, Jordi Saez, Hunter Mehrens, Julianne Marie Pollard-Larkin, Rebecca Maureen Howell, Christine Burns Peterson, Christopher Lee Nelson, Catharine Helen Clark, Stephen Frasier Kry

Faculty, Staff and Student Publications

PURPOSE: To quantify the impact of treatment planning system beam model parameters, based on the actual spread in radiotherapy community data, on clinical treatment plans and determine which complexity metrics best describe the impact beam modeling errors have on dose accuracy.

METHODS: Ten beam modeling parameters for a Varian accelerator were modified in RayStation to match radiotherapy community data at the 2.5, 25, 50, 75, and 97.5 percentile levels. These modifications were evaluated on 25 patient cases, including prostate, non-small cell lung, H&N, brain, and mesothelioma, generating 1,000 plan perturbations. Differences in the mean planned dose to clinical target volumes …


Programming A Ferroptosis-To-Apoptosis Transition Landscape Revealed Ferroptosis Biomarkers And Repressors For Cancer Therapy, Yaron Vinik, Avi Maimon, Vinay Dubey, Harsha Raj, Ifat Abramovitch, Sergey Malitsky, Maxim Itkin, Avi Ma'ayan, Frank Westermann, Eyal Gottlieb, Eytan Ruppin, Sima Lev May 2024

Programming A Ferroptosis-To-Apoptosis Transition Landscape Revealed Ferroptosis Biomarkers And Repressors For Cancer Therapy, Yaron Vinik, Avi Maimon, Vinay Dubey, Harsha Raj, Ifat Abramovitch, Sergey Malitsky, Maxim Itkin, Avi Ma'ayan, Frank Westermann, Eyal Gottlieb, Eytan Ruppin, Sima Lev

Faculty, Staff and Student Publications

Ferroptosis and apoptosis are key cell-death pathways implicated in several human diseases including cancer. Ferroptosis is driven by iron-dependent lipid peroxidation and currently has no characteristic biomarkers or gene signatures. Here a continuous phenotypic gradient between ferroptosis and apoptosis coupled to transcriptomic and metabolomic landscapes is established. The gradual ferroptosis-to-apoptosis transcriptomic landscape is used to generate a unique, unbiased transcriptomic predictor, the Gradient Gene Set (GGS), which classified ferroptosis and apoptosis with high accuracy. Further GGS optimization using multiple ferroptotic and apoptotic datasets revealed highly specific ferroptosis biomarkers, which are robustly validated in vitro and in vivo. A subset of …


Simultaneous Hemorrhage And Venous Thrombosis In A Patient With Systemic Lupus Erythematosus, Binoy Yohannan, Natalie A Montanez, Miguel A Escobar May 2024

Simultaneous Hemorrhage And Venous Thrombosis In A Patient With Systemic Lupus Erythematosus, Binoy Yohannan, Natalie A Montanez, Miguel A Escobar

Faculty, Staff and Student Publications

No abstract provided.


Use Of Electronic Nicotine Delivery Systems And Age Of Asthma Onset Among Us Adults And Youths, Adriana Pérez, Sarah Valencia, Pushan P Jani, Melissa B Harrell May 2024

Use Of Electronic Nicotine Delivery Systems And Age Of Asthma Onset Among Us Adults And Youths, Adriana Pérez, Sarah Valencia, Pushan P Jani, Melissa B Harrell

Faculty, Staff and Student Publications

Importance: The association of use of electronic nicotine delivery systems (ENDS) with the age of asthma onset is unknown.

Objective: To explore the association of past 30-day ENDS use with the age of asthma onset in adults and youths who did not have asthma or chronic obstructive pulmonary disease and never used cigarettes.

Design, setting, and participants: This cohort study was a secondary analysis of waves 1 to 6 of the US nationally representative Population of Tobacco and Health Study (2013-2021). Eligible participants included adults (≥18 years) and youths (12-17 years) who did not have asthma or chronic obstructive pulmonary …


Machine Learning-Enabled Automated Large Vessel Occlusion Detection Improves Transfer Times At Primary Stroke Centers, Ngoc Mai Le, Ananya S Iyyangar, Youngran Kim, Mohammad Rauf Chaudhry, Sergio Salazar-Marioni, Rania Abdelkhaleq, Arash Niktabe, Anjan N Ballekere, Hussain Azeem, Sandi Shaw, Peri Smith, Mallory Cowan, Isabel Gonzales, Louise D Mccullough, Luca Giancardo, Sunil A Sheth May 2024

Machine Learning-Enabled Automated Large Vessel Occlusion Detection Improves Transfer Times At Primary Stroke Centers, Ngoc Mai Le, Ananya S Iyyangar, Youngran Kim, Mohammad Rauf Chaudhry, Sergio Salazar-Marioni, Rania Abdelkhaleq, Arash Niktabe, Anjan N Ballekere, Hussain Azeem, Sandi Shaw, Peri Smith, Mallory Cowan, Isabel Gonzales, Louise D Mccullough, Luca Giancardo, Sunil A Sheth

Faculty, Staff and Student Publications

BACKGROUND: Accelerating door-in-door-out (DIDO) times at primary stroke centers (PSCs) for patients with large vessel occlusion (LVO) acute ischemic stroke transferred for possible endovascular stroke therapy (EVT) is important to optimize outcomes. Here, we assess whether automated LVO detection coupled with secure communication at non-EVT performing PSCs improves DIDO time and increases the proportion of patients receiving EVT after transfer.

METHODS: From our prospectively collected multicenter registry, we identified patients with LVO acute ischemic stroke that presented to one of 7 PSCs in the Greater Houston area from January 1, 2021, to February 27, 2022. Noncontrast computed tomography and computed …