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Articles 6001 - 6030 of 21781
Full-Text Articles in Entire DC Network
Using Education To Improve Glycemic Management Within An Emergency Department, Rebecca Olson
Using Education To Improve Glycemic Management Within An Emergency Department, Rebecca Olson
Master's Theses and Capstones
Background: Patients with diabetes mellitus (DM) frequently visit acute care facilities for a variety of reasons. Proper management of this comorbidity increases patient safety, satisfaction, and quality care. Patients with persistent dysglycemic events in acute care facilities have an increased risk of complications and death during their stay. Lack of education can contribute to gaps in proper management within this population and therefore must be improved for better patient outcomes.
Methods: The Plan-Do-Check-Act design from the A3 Problem Solving model was used to guide a quality improvement project which focused on improving staff education and confidence surrounding glycemic management. The …
Gene Content, Phage Cycle Regulation Model And Prophage Inactivation Disclosed By Prophage Genomics In The Helicobacter Pylori Genome Project, Filipa F Vale, Richard J Roberts, Ichizo Kobayashi, M Constanza Camargo, Charles S Rabkin, Hpgp Research Network
Gene Content, Phage Cycle Regulation Model And Prophage Inactivation Disclosed By Prophage Genomics In The Helicobacter Pylori Genome Project, Filipa F Vale, Richard J Roberts, Ichizo Kobayashi, M Constanza Camargo, Charles S Rabkin, Hpgp Research Network
Faculty, Staff and Students Publications
Prophages can have major clinical implications through their ability to change pathogenic bacterial traits. There is limited understanding of the prophage role in ecological, evolutionary, adaptive processes and pathogenicity of Helicobacter pylori, a widespread bacterium causally associated with gastric cancer. Inferring the exact prophage genomic location and completeness requires complete genomes. The international Helicobacter pylori Genome Project (HpGP) dataset comprises 1011 H. pylori complete clinical genomes enriched with epigenetic data. We thoroughly evaluated the H. pylori prophage genomic content in the HpGP dataset. We investigated population evolutionary dynamics through phylogenetic and pangenome analyses. Additionally, we identified …
The Impact Of Obesity-Associated Glycine Deficiency On The Elimination Of Endogenous And Exogenous Metabolites Via The Glycine Conjugation Pathway, Hong Chang Tan, Jean W Hsu, E Shyong Tai, Shaji Chacko, Jean-Paul Kovalik, Farook Jahoor
The Impact Of Obesity-Associated Glycine Deficiency On The Elimination Of Endogenous And Exogenous Metabolites Via The Glycine Conjugation Pathway, Hong Chang Tan, Jean W Hsu, E Shyong Tai, Shaji Chacko, Jean-Paul Kovalik, Farook Jahoor
Faculty, Staff and Students Publications
BACKGROUND: Glycine is an integral component of the human detoxification system as it reacts with potentially toxic exogenous and endogenously produced compounds and metabolites via the glycine conjugation pathway for urinary excretion. Because individuals with obesity have reduced glycine availability, this detoxification pathway may be compromised. However, it should be restored after bariatric surgery because of increased glycine production.
OBJECTIVE: To examine the impact of obesity-associated glycine deficiency on the glycine conjugation pathway. We hypothesize that the synthesis rates of acylglycines from endogenous and exogenous sources are significantly reduced in individuals with obesity but increase after bariatric surgery.
METHODS: We …
Hepatic Failure And Hyperbilirubinemia Secondary To Hemolytic Disease Of The Newborn, Matthew Reinhardt, Marya L Strand, Dajana Sabic
Hepatic Failure And Hyperbilirubinemia Secondary To Hemolytic Disease Of The Newborn, Matthew Reinhardt, Marya L Strand, Dajana Sabic
Faculty, Staff and Students Publications
Anti-D antibody is the most common cause of hemolytic disease of the newborn (HDN). Other antigens have emerged, causing significant damage to the newborn. We report a case of a 31-week dichorionic diamniotic twin born emergently to a mother with anti-C and anti-D antibodies who required multiple percutaneous umbilical cord blood sampling (PUBS) and transfusions. Extensive resuscitation at birth was required due to severe anemia, hypovolemia, and prematurity. Ensuing liver damage occurred with subsequent profound coagulopathy, transaminitis, and direct hyperbilirubinemia that required significant support. This patient developed several unique findings including the inability to monitor oxygen saturations due to dermal …
Researching Covid To Enhance Recovery (Recover) Pediatric Study Protocol: Rationale, Objectives And Design, Rachel S Gross, Tanayott Thaweethai, Erika B Rosenzweig, James Chan, Lori B Chibnik, Mine S Cicek, Amy J Elliott, Valerie J Flaherman, Andrea S Foulkes, Margot Gage Witvliet, Richard Gallagher, Maria Laura Gennaro, Terry L Jernigan, Elizabeth W Karlson, Stuart D Katz, Patricia A Kinser, Lawrence C Kleinman, Michelle F Lamendola-Essel, Joshua D Milner, Sindhu Mohandas, Praveen C Mudumbi, Jane W Newburger, Kyung E Rhee, Amy L Salisbury, Jessica N Snowden, Cheryl R Stein, Melissa S Stockwell, Kelan G Tantisira, Moriah E Thomason, Dongngan T Truong, David Warburton, John C Wood, Shifa Ahmed, Almary Akerlundh, Akram N Alshawabkeh, Brett R Anderson, Judy L Aschner, Andrew M Atz, Robin L Aupperle, Fiona C Baker, Venkataraman Balaraman, Dithi Banerjee, Deanna M Barch, Arielle Baskin-Sommers, Sultana Bhuiyan, Marie-Abele C Bind, Amanda L Bogie, Tamara Bradford, Natalie C Buchbinder, Elliott Bueler, Hülya Bükülmez, B J Casey, Linda Chang, Maryanne Chrisant, Duncan B Clark, Rebecca G Clifton, Katharine N Clouser, Lesley Cottrell, Kelly Cowan, Viren D'Sa, Mirella Dapretto, Soham Dasgupta, Walter Dehority, Audrey Dionne, Kirsten B Dummer, Matthew D Elias, Shari Esquenazi-Karonika, Danielle N Evans, E Vincent S Faustino, Alexander G Fiks, Daniel Forsha, John J Foxe, Naomi P Friedman, Greta Fry, Sunanda Gaur, Dylan G Gee, Kevin M Gray, Stephanie Handler, Ashraf S Harahsheh, Keren Hasbani, Andrew C Heath, Camden Hebson, Mary M Heitzeg, Christina M Hester, Sophia Hill, Laura Hobart-Porter, Travis K F Hong, Carol R Horowitz, Daniel S Hsia, Matthew Huentelman, Kathy D Hummel, Katherine Irby, Joanna Jacobus, Vanessa L Jacoby, Pei-Ni Jone, David C Kaelber, Tyler J Kasmarcak, Matthew J Kluko, Jessica S Kosut, Angela R Laird, Jeremy Landeo-Gutierrez, Sean M Lang, Christine L Larson, Peter Paul C Lim, Krista M Lisdahl, Brian W Mccrindle, Russell J Mcculloh, Kimberly Mchugh, Alan L Mendelsohn, Torri D Metz, Julie Miller, Elizabeth C Mitchell, Lerraughn M Morgan, Eva M Müller-Oehring, Erica R Nahin, Michael C Neale, Manette Ness-Cochinwala, Sheila M Nolan, Carlos R Oliveira, Onyekachukwu Osakwe, Matthew E Oster, R Mark Payne, Michael A Portman, Hengameh Raissy, Isabelle G Randall, Suchitra Rao, Harrison T Reeder, Johana M Rosas, Mark W Russell, Arash A Sabati, Yamuna Sanil, Alice I Sato, Michael S Schechter, Rangaraj Selvarangan, S Kristen Sexson Tejtel, Divya Shakti, Kavita Sharma, Lindsay M Squeglia, Shubika Srivastava, Michelle D Stevenson, Jacqueline Szmuszkovicz, Maria M Talavera-Barber, Ronald J Teufel, Deepika Thacker, Felicia Trachtenberg, Mmekom M Udosen, Megan R Warner, Sara E Watson, Alan Werzberger, Jordan C Weyer, Marion J Wood, H Shonna Yin, William T Zempsky, Emily Zimmerman, Benard P Dreyer, Recover-Pediatric Consortium
Researching Covid To Enhance Recovery (Recover) Pediatric Study Protocol: Rationale, Objectives And Design, Rachel S Gross, Tanayott Thaweethai, Erika B Rosenzweig, James Chan, Lori B Chibnik, Mine S Cicek, Amy J Elliott, Valerie J Flaherman, Andrea S Foulkes, Margot Gage Witvliet, Richard Gallagher, Maria Laura Gennaro, Terry L Jernigan, Elizabeth W Karlson, Stuart D Katz, Patricia A Kinser, Lawrence C Kleinman, Michelle F Lamendola-Essel, Joshua D Milner, Sindhu Mohandas, Praveen C Mudumbi, Jane W Newburger, Kyung E Rhee, Amy L Salisbury, Jessica N Snowden, Cheryl R Stein, Melissa S Stockwell, Kelan G Tantisira, Moriah E Thomason, Dongngan T Truong, David Warburton, John C Wood, Shifa Ahmed, Almary Akerlundh, Akram N Alshawabkeh, Brett R Anderson, Judy L Aschner, Andrew M Atz, Robin L Aupperle, Fiona C Baker, Venkataraman Balaraman, Dithi Banerjee, Deanna M Barch, Arielle Baskin-Sommers, Sultana Bhuiyan, Marie-Abele C Bind, Amanda L Bogie, Tamara Bradford, Natalie C Buchbinder, Elliott Bueler, Hülya Bükülmez, B J Casey, Linda Chang, Maryanne Chrisant, Duncan B Clark, Rebecca G Clifton, Katharine N Clouser, Lesley Cottrell, Kelly Cowan, Viren D'Sa, Mirella Dapretto, Soham Dasgupta, Walter Dehority, Audrey Dionne, Kirsten B Dummer, Matthew D Elias, Shari Esquenazi-Karonika, Danielle N Evans, E Vincent S Faustino, Alexander G Fiks, Daniel Forsha, John J Foxe, Naomi P Friedman, Greta Fry, Sunanda Gaur, Dylan G Gee, Kevin M Gray, Stephanie Handler, Ashraf S Harahsheh, Keren Hasbani, Andrew C Heath, Camden Hebson, Mary M Heitzeg, Christina M Hester, Sophia Hill, Laura Hobart-Porter, Travis K F Hong, Carol R Horowitz, Daniel S Hsia, Matthew Huentelman, Kathy D Hummel, Katherine Irby, Joanna Jacobus, Vanessa L Jacoby, Pei-Ni Jone, David C Kaelber, Tyler J Kasmarcak, Matthew J Kluko, Jessica S Kosut, Angela R Laird, Jeremy Landeo-Gutierrez, Sean M Lang, Christine L Larson, Peter Paul C Lim, Krista M Lisdahl, Brian W Mccrindle, Russell J Mcculloh, Kimberly Mchugh, Alan L Mendelsohn, Torri D Metz, Julie Miller, Elizabeth C Mitchell, Lerraughn M Morgan, Eva M Müller-Oehring, Erica R Nahin, Michael C Neale, Manette Ness-Cochinwala, Sheila M Nolan, Carlos R Oliveira, Onyekachukwu Osakwe, Matthew E Oster, R Mark Payne, Michael A Portman, Hengameh Raissy, Isabelle G Randall, Suchitra Rao, Harrison T Reeder, Johana M Rosas, Mark W Russell, Arash A Sabati, Yamuna Sanil, Alice I Sato, Michael S Schechter, Rangaraj Selvarangan, S Kristen Sexson Tejtel, Divya Shakti, Kavita Sharma, Lindsay M Squeglia, Shubika Srivastava, Michelle D Stevenson, Jacqueline Szmuszkovicz, Maria M Talavera-Barber, Ronald J Teufel, Deepika Thacker, Felicia Trachtenberg, Mmekom M Udosen, Megan R Warner, Sara E Watson, Alan Werzberger, Jordan C Weyer, Marion J Wood, H Shonna Yin, William T Zempsky, Emily Zimmerman, Benard P Dreyer, Recover-Pediatric Consortium
Faculty, Staff and Students Publications
IMPORTANCE: The prevalence, pathophysiology, and long-term outcomes of COVID-19 (post-acute sequelae of SARS-CoV-2 [PASC] or "Long COVID") in children and young adults remain unknown. Studies must address the urgent need to define PASC, its mechanisms, and potential treatment targets in children and young adults.
OBSERVATIONS: We describe the protocol for the Pediatric Observational Cohort Study of the NIH's REsearching COVID to Enhance Recovery (RECOVER) Initiative. RECOVER-Pediatrics is an observational meta-cohort study of caregiver-child pairs (birth through 17 years) and young adults (18 through 25 years), recruited from more than 100 sites across the US. This report focuses on two of …
Functional Genomics And Small Molecules In Mitochondrial Neurodevelopmental Disorders, Daniel G Calame, Lisa T Emrick
Functional Genomics And Small Molecules In Mitochondrial Neurodevelopmental Disorders, Daniel G Calame, Lisa T Emrick
Faculty, Staff and Students Publications
Mitochondria are critical for brain development and homeostasis. Therefore, pathogenic variation in the mitochondrial or nuclear genome which disrupts mitochondrial function frequently results in developmental disorders and neurodegeneration at the organismal level. Large-scale application of genome-wide technologies to individuals with mitochondrial diseases has dramatically accelerated identification of mitochondrial disease-gene associations in humans. Multi-omic and high-throughput studies involving transcriptomics, proteomics, metabolomics, and saturation genome editing are providing deeper insights into the functional consequence of mitochondrial genomic variation. Integration of deep phenotypic and genomic data through allelic series continues to uncover novel mitochondrial functions and permit mitochondrial gene function dissection on an …
Optical Coherence Elastography Measures The Biomechanical Properties Of The Ex Vivo Porcine Cornea After Lasik, Achuth Nair, Fernando Zvietcovich, Manmohan Singh, Mitchell P Weikert, Salavat R Aglyamov, Kirill V Larin
Optical Coherence Elastography Measures The Biomechanical Properties Of The Ex Vivo Porcine Cornea After Lasik, Achuth Nair, Fernando Zvietcovich, Manmohan Singh, Mitchell P Weikert, Salavat R Aglyamov, Kirill V Larin
Faculty, Staff and Students Publications
SIGNIFICANCE: The biomechanical impact of refractive surgery has long been an area of investigation. Changes to the cornea structure cause alterations to its mechanical integrity, but few studies have examined its specific mechanical impact.
AIM To quantify how the biomechanical properties of the cornea are altered by laser assisted in situ keratomileusis (LASIK) using optical coherence elastography (OCE) in ex vivo porcine corneas.
APPROACH: Three OCE techniques, wave-based air-coupled ultrasound (ACUS) OCE, heartbeat (Hb) OCE, and compression OCE were used to measure the mechanical properties of paired porcine corneas, where one eye of the pair was left untreated, and the …
Standardized Definitions For Evaluation Of Acute Decompensated Heart Failure Therapies: Hf-Arc Expert Panel Paper, Anuradha Lala, Carine E Hamo, Biykem Bozkurt, Mona Fiuzat, Vanessa Blumer, Daniel Bukhoff, Javed Butler, Maria Rosa Costanzo, G Michael Felker, Gerasimos Filippatos, Marvin A Konstam, John J V Mcmurray, Robert J Mentz, Marco Metra, Mitchell A Psotka, Scott D Solomon, John Teerlink, William T Abraham, Christopher M O'Connor, Hf-Arc (Heart Failure Collaboratory And Academic Research Consortium)
Standardized Definitions For Evaluation Of Acute Decompensated Heart Failure Therapies: Hf-Arc Expert Panel Paper, Anuradha Lala, Carine E Hamo, Biykem Bozkurt, Mona Fiuzat, Vanessa Blumer, Daniel Bukhoff, Javed Butler, Maria Rosa Costanzo, G Michael Felker, Gerasimos Filippatos, Marvin A Konstam, John J V Mcmurray, Robert J Mentz, Marco Metra, Mitchell A Psotka, Scott D Solomon, John Teerlink, William T Abraham, Christopher M O'Connor, Hf-Arc (Heart Failure Collaboratory And Academic Research Consortium)
Faculty, Staff and Students Publications
Acute decompensated heart failure (ADHF) is one of the most common reasons for hospitalizations or urgent care and is associated with poor outcomes. Therapies shown to improve outcomes are limited, however, and innovation in pharmacologic and device-based therapeutics are therefore actively being sought. Standardizing definitions for ADHF and its trajectory is complex, limiting the generalizability and translation of clinical trials to effect clinical care and policy change. The Heart Failure Collaboratory is a multistakeholder organization comprising clinical investigators, clinicians, patients, government representatives (including U.S. Food and Drug Administration and National Institutes of Health participants), payors, and industry collaborators. The following …
Enhancing Heart Disease Prediction With Reinforcement Learning And Data Augmentation, Gayathri R., Sangeetha S. K. B., Sandeep Kumar Mathivanan, Hariharan Rajadurai, Benjula Anbu Malar Mb, Saurav Mallik, Hong Qin
Enhancing Heart Disease Prediction With Reinforcement Learning And Data Augmentation, Gayathri R., Sangeetha S. K. B., Sandeep Kumar Mathivanan, Hariharan Rajadurai, Benjula Anbu Malar Mb, Saurav Mallik, Hong Qin
Computer Science Faculty Publications
The study presents a novel method to improve the prediction accuracy of cardiac disease by combining data augmentation techniques with reinforcement learning. The complex nature of cardiac data frequently presents challenges for traditional machine learning models, which results in subpar performance. In response, our fusion methodology improves predictive capabilities by augmenting data and utilizing reinforcement learning's skill at sequential decision-making. Our method predicts cardiac disease with an astounding 94 % accuracy rate, which is an outstanding result. This significant improvement outperforms existing techniques and shows a deeper comprehension of intricate data relationships. The amalgamation of reinforcement learning and data augmentation …
Human Cell Modeling Of Cdkl5-Deficiency Disorder With Patient-Derived Organoids And Hd-Mea, Alyssa Paynton
Human Cell Modeling Of Cdkl5-Deficiency Disorder With Patient-Derived Organoids And Hd-Mea, Alyssa Paynton
Cal Poly Humboldt theses and projects
CDKL5 deficiency disorder (CDD) is an X-linked disorder that leads to severe cognitive impairments as well as infantile epilepsy. The only FDA approved therapy helps to reduce seizure frequency, however there are currently no cures approved. While murine models have proven useful in characterizing CDD, there are limitations due to differences in brain structure and development across species that may lead to the reported lack of spontaneous seizures in the mouse, a hallmark in humans affected by this disorder. By the utilization of patient-specific iPSCs generated into cerebral organoids, a more comprehensive and in-depth analysis into rare neurological disorders, such …
Does Serum Uric Acid To Creatinine Ratio Predict Mortality Risk In Patients With Heart Failure, Xiaoqing Xi, Jinfeng Cai, Chen Zhang, Xuefei Wang
Does Serum Uric Acid To Creatinine Ratio Predict Mortality Risk In Patients With Heart Failure, Xiaoqing Xi, Jinfeng Cai, Chen Zhang, Xuefei Wang
The Texas Heart Institute Journal
BACKGROUND: Previous studies have established a positive correlation between serum uric acid to creatinine (SUA/Cr) ratio and cardiovascular disease, but the relationship between SUA/Cr ratio and the prognosis of heart failure (HF) remains unknown. This study investigated the potential of SUA/Cr ratio as a prognostic predictor for patients with HF.
METHODS: This single-center prospective cohort study enrolled 2,122 patients with HF between March 2013 and June 2017. All patients were divided into 3 groups according to SUA/Cr ratio tertiles and were followed up with until December 31, 2022. The association between SUA/Cr ratio and the prognosis of HF was assessed …
Advancing Small Molecule Therapies For Myotonic Dystrophy Type 1, Sawyer M. Hicks
Advancing Small Molecule Therapies For Myotonic Dystrophy Type 1, Sawyer M. Hicks
Electronic Theses & Dissertations (2024 - present)
Myotonic dystrophy type 1 (DM1) is a multisystemic disorder caused by the expression of expanded CUG (CUGexp) repeat RNA from the myotonic dystrophy protein kinase (DMPK) gene. This CUGexp repeat RNA’s gain-of-function mechanism leads to the sequestration of muscleblind-like (MBNL) proteins, resulting in widespread alternative splicing dysregulation across tissues. Despite significant research, there are currently no approved therapeutics targeting the underlying causes of DM1. This dissertation explores the development and optimization of a novel class of small molecules, Modified Polycyclic Compounds (MPCs), designed to address splicing dysregulation in DM1. MPCs were designed from previously published …
Crystal Structure Of Trichinella Spiralis Calreticulin And The Structural Basis Of Its Complement Evasion Mechanism Involving C1q, Zhihui Jia, Wen Yu, Jingmo Li, Mingming Zhang, Bin Zhan, Liming Yan, Zhenhua Ming, Yuli Cheng, Xiaolin Tian, Shuai Shao, Jingjing Huang, Xinping Zhu
Crystal Structure Of Trichinella Spiralis Calreticulin And The Structural Basis Of Its Complement Evasion Mechanism Involving C1q, Zhihui Jia, Wen Yu, Jingmo Li, Mingming Zhang, Bin Zhan, Liming Yan, Zhenhua Ming, Yuli Cheng, Xiaolin Tian, Shuai Shao, Jingjing Huang, Xinping Zhu
Faculty, Staff and Students Publications
Helminths produce calreticulin (CRT) to immunomodulate the host immune system as a survival strategy. However, the structure of helminth-derived CRT and the structural basis of the immune evasion process remains unclarified. Previous study found that the tissue-dwelling helminth Trichinella spiralis produces calreticulin (TsCRT), which binds C1q to inhibit activation of the complement classical pathway. Here, we used x-ray crystallography to resolve the structure of truncated TsCRT (TsCRTΔ), the first structure of helminth-derived CRT. TsCRTΔ was observed to share the same binding region on C1q with IgG based on the structure and molecular docking, which explains the inhibitory effect of TsCRT …
Concurrent Hbsag And Anti-Hbs Induced By A Pres Deletion Mutant In A Chronic Hepatitis B Patient, Wen Wu, Yingjian Chen, F Blaine Hollinger, Xiangyan Huang
Concurrent Hbsag And Anti-Hbs Induced By A Pres Deletion Mutant In A Chronic Hepatitis B Patient, Wen Wu, Yingjian Chen, F Blaine Hollinger, Xiangyan Huang
Faculty, Staff and Students Publications
This study analyzed the origins of concurrent hepatitis B surface antigen (HBsAg) and HBsAg antibodies (anti-HBs) in a patient with chronic hepatitis B virus (HBV) infection. The levels of serological markers of HBV infection were determined by enzyme-linked immunosorbent assay (ELISA). The preS/S gene was analyzed by gene amplification and sequencing. The tests revealed that HBsAg and anti-HBs coexisted in this patient with mixed infections of the full-length preS/S virus strain and preS1 183 bp deletion mutant, and both the mutant and the anti-HBs were no longer present after one year, which means that the mutant strain was cleared by …
How Individuals’ Opinions Influence Society’S Resistance To Epidemics: An Agent-Based Model Approach, Geonsik Yu, Michael J. Garee, Mario Ventresca, Yuehwern Yih
How Individuals’ Opinions Influence Society’S Resistance To Epidemics: An Agent-Based Model Approach, Geonsik Yu, Michael J. Garee, Mario Ventresca, Yuehwern Yih
Faculty Publications
Background: Protecting public health from infectious diseases often relies on the cooperation of citizens, especially when self-care interventions are the only viable tools for disease mitigation. Accordingly, social aspects related to public opinion have been studied in the context of the recent COVID-19 pandemic. However, a comprehensive understanding of the effects of opinion-related factors on disease spread still requires further exploration. Methods: We propose an agent-based simulation framework incorporating opinion dynamics within an epidemic model based on the assumption that mass media channels play a leading role in opinion dynamics. The model simulates how opinions about preventive interventions change over …
Computational Analysis Of Vascular Aneurysms, Seyedmostafa Rezaeitaleshmahalleh
Computational Analysis Of Vascular Aneurysms, Seyedmostafa Rezaeitaleshmahalleh
Dissertations, Master's Theses and Master's Reports
Vascular aneurysms, such as intracranial aneurysms (IAs) and abdominal aortic aneurysms (AAAs), pose significant health risks, particularly upon rupture. Disturbed hemodynamics, characterized by swirling flow patterns, can lead to cellular and structural changes that disrupt normal physiological processes and contribute to destructive vascular remodeling. Integrating hemodynamic analysis into clinical assessments of aneurysms has become crucial, especially through patient-specific computational fluid dynamics (CFD) simulations based on medical imaging. However, the complexity of CFD tools presents challenges in model creation and post-simulation analysis, limiting their accessibility to clinicians.
This project aimed to advance aneurysm management by exploring the role of intraluminal thrombus …
Comparing The Effects Of Two Initial Specimen Diversion Techniques On Blood Culture Contamination Rates And Clinical Outcomes-A Multicenter Study, Anthony Febres-Aldana, Patrycja Ashley, Eva Amenta, Megan Duffey, Theresa Sepulveda, Corina Lopez, Sabra Shay, Miriam Barrett, Todd Lasco, Takei Pipkins, Margaret Reed, Bradley Lembcke, Mayar Al Mohajer
Comparing The Effects Of Two Initial Specimen Diversion Techniques On Blood Culture Contamination Rates And Clinical Outcomes-A Multicenter Study, Anthony Febres-Aldana, Patrycja Ashley, Eva Amenta, Megan Duffey, Theresa Sepulveda, Corina Lopez, Sabra Shay, Miriam Barrett, Todd Lasco, Takei Pipkins, Margaret Reed, Bradley Lembcke, Mayar Al Mohajer
Faculty, Staff and Students Publications
Although the initial specimen diversion device (ISDD) has been shown to reduce blood culture contamination (BCC) rates, its impact on clinical outcomes remains unclear. This multicenter study showed that ISDD significantly decreased BCC. However, there was no reduction in length of stay, days of therapy, or central line-associated bloodstream infections.
Dna Mismatch Repair Defect And Intratumor Heterogeneous Deficiency Differently Impact Immune Responses In Diffuse Large B-Cell Lymphoma, Zijun Y Xu-Monette, Cancan Luo, Li Yu, Yong Li, Govind Bhagat, Alexandar Tzankov, Carlo Visco, Xiangshan Fan, Karen Dybkaer, Ali Sakhdari, Nicholas T Wang, Alyssa F Yuan, April Chiu, Wayne Tam, Youli Zu, Eric D Hsi, Anamarija M Perry, Wenting Song, Dennis O'Malley, Qingyan Au, Harry Nunns, Heounjeong Go, Michael B Møller, Benjamin M Parsons, Santiago Montes-Moreno, Maurilio Ponzoni, Andrés J M Ferreri, Aliyah R Sohani, Jeremy S Abramson, Bing Xu, Ken H Young
Dna Mismatch Repair Defect And Intratumor Heterogeneous Deficiency Differently Impact Immune Responses In Diffuse Large B-Cell Lymphoma, Zijun Y Xu-Monette, Cancan Luo, Li Yu, Yong Li, Govind Bhagat, Alexandar Tzankov, Carlo Visco, Xiangshan Fan, Karen Dybkaer, Ali Sakhdari, Nicholas T Wang, Alyssa F Yuan, April Chiu, Wayne Tam, Youli Zu, Eric D Hsi, Anamarija M Perry, Wenting Song, Dennis O'Malley, Qingyan Au, Harry Nunns, Heounjeong Go, Michael B Møller, Benjamin M Parsons, Santiago Montes-Moreno, Maurilio Ponzoni, Andrés J M Ferreri, Aliyah R Sohani, Jeremy S Abramson, Bing Xu, Ken H Young
Faculty, Staff and Students Publications
Deficient (d) DNA mismatch repair (MMR) is a biomarker predictive of better response to PD-1 blockade immunotherapy in solid tumors. dMMR can be caused by mutations in MMR genes or by protein inactivation, which can be detected by sequencing and immunohistochemistry, respectively. To investigate the role of dMMR in diffuse large B-cell lymphoma (DLBCL), MMR gene mutations and expression of MSH6, MSH2, MLH1, and PMS2 proteins were evaluated by targeted next-generation sequencing and immunohistochemistry in a large cohort of DLBCL patients treated with standard chemoimmunotherapy, and correlated with the tumor immune microenvironment characteristics quantified by fluorescent multiplex immunohistochemistry and gene-expression …
Advances In The Clinical Application Of High-Throughput Proteomics, Miao Cui, Fei Deng, Mary L Disis, Chao Cheng, Lanjing Zhang
Advances In The Clinical Application Of High-Throughput Proteomics, Miao Cui, Fei Deng, Mary L Disis, Chao Cheng, Lanjing Zhang
Faculty, Staff and Students Publications
High-throughput proteomics has become an exciting field and a potential frontier of modern medicine since the early 2000s. While significant progress has been made in the technical aspects of the field, translating proteomics to clinical applications has been challenging. This review summarizes recent advances in clinical applications of high-throughput proteomics and discusses the associated challenges, advantages, and future directions. We focus on research progress and clinical applications of high-throughput proteomics in breast cancer, bladder cancer, laryngeal squamous cell carcinoma, gastric cancer, colorectal cancer, and coronavirus disease 2019. The future application of high-throughput proteomics will face challenges such as varying protein …
Expert Review Of Child And Caregiver Critiques Of A Therapeutic Guided Imagery Therapy Mobile Application Targeting Disorders Of Gut-Brain Interaction In Children, John M Hollier, Tiantá A Strickland, C Michael Fordis, Robert J Shulman, Debbe Thompson
Expert Review Of Child And Caregiver Critiques Of A Therapeutic Guided Imagery Therapy Mobile Application Targeting Disorders Of Gut-Brain Interaction In Children, John M Hollier, Tiantá A Strickland, C Michael Fordis, Robert J Shulman, Debbe Thompson
Faculty, Staff and Students Publications
BACKGROUND: A guided imagery therapy mobile application (GIT App) is a novel platform for treating children with disorders of gut-brain interaction (DGBI). Previous feedback from child/caregiver dyads suggested modifications for our App prototype. However, their feedback had the potential to affect the intervention's efficacy. Thus, we aimed to have their critiques vetted by relevant experts prior to further App refinement.
OBJECTIVE: Compare expert reviews of the GIT App with end-users' (i.e., child/caregiver dyads') feedback.
METHODS: This mixed-methods study with experts included a hands-on App evaluation, a survey assessing usability, and focus groups comparing their perspectives with those previously provided by …
Understanding The Role Of Ampa Receptors In Autism: Insights From Circuit And Synapse Dysfunction, Andres Jimenez-Gomez, Megan X Nguyen, Jason S Gill
Understanding The Role Of Ampa Receptors In Autism: Insights From Circuit And Synapse Dysfunction, Andres Jimenez-Gomez, Megan X Nguyen, Jason S Gill
Faculty, Staff and Students Publications
Autism spectrum disorders represent a diverse etiological spectrum that converge on a syndrome characterized by discrepant deficits in developmental domains often highlighted by concerns in socialization, sensory integration, and autonomic functioning. Importantly, the incidence and prevalence of autism spectrum disorders have seen sharp increases since the syndrome was first described in the 1940s. The wide etiological spectrum and rising number of individuals being diagnosed with the condition lend urgency to capturing a more nuanced understanding of the pathogenic mechanisms underlying the autism spectrum disorders. The current review seeks to understand how the disruption of AMPA receptor (AMPAr)-mediated neurotransmission in the …
Mechanistic Insight Into Maternal Electronic Cigarette Exposure And Its Effect On Offspring Cerebrovascular And Neurocognitive Health, Amber Victoria Mills
Mechanistic Insight Into Maternal Electronic Cigarette Exposure And Its Effect On Offspring Cerebrovascular And Neurocognitive Health, Amber Victoria Mills
Graduate Theses, Dissertations, and Problem Reports (ETD)
Electronic cigarettes (Ecigs) have replaced smoking within the last decade as the preferred nicotine delivery system because of their advertising to the younger populations. Marketing has sold the idea that use of Ecigs are safer than smoking and this messaging has resonated with youth and other vulnerable populations such as pregnant women. Despite over 2.8 million children under 18 (Annual National Youth Tobacco Survey) deciding to vape, there is little information about what this will do to the next generation. Further, it is that same population that will soon reach an age when they will want to have children. There …
Implementation Of A Pilot Quality Improvement Project To Guide The Administration Of Intraoperative Dexamethasone For Postoperative Nausea And Vomiting Prophylaxis In Patients With Diabetes Undergoing Orthopedic Procedures, Brittany W. Hall
Graduate Theses, Dissertations, and Problem Reports (ETD)
Background: At a local tertiary care hospital, there was no recommendation to guide anesthesia providers in the administration of intraoperative dexamethasone to patients with diabetes. While dexamethasone is a highly effective antiemetic, it may promote hyperglycemia in patients with diabetes.
Purpose: The purpose of this project was to guide and educate about current recommendations for the administration of dexamethasone for PONV prophylaxis in patients with diabetes.
Intervention: 1) Examined pre-intervention practices of dexamethasone administration. 2) Educated about current and best practices to anesthesia staff. 3) Developed badge buddy cards outlining the guideline. 4) Examined post-intervention practices. 5) Evaluated the effect …
The Tb27 Transcriptomic Model For Predicting Mycobacterium Tuberculosis Culture Conversion, Maja Reimann, Korkut Avsar, Andrew R Dinardo, Torsten Goldmann, Gunar Günther, Michael Hoelscher, Elmira Ibraim, Barbara Kalsdorf, Stefan H E Kaufmann, Niklas Köhler, Anna M Mandalakas, Florian P Maurer, Marius Müller, Dörte Nitschkowski, Ioana D Olaru, Cristina Popa, Andrea Rachow, Thierry Rolling, Helmut J F Salzer, Patricia Sanchez-Carballo, Maren Schuhmann, Dagmar Schaub, Victor Spinu, Elena Terhalle, Markus Unnewehr, Nika J Zielinski, Jan Heyckendorf, Christoph Lange
The Tb27 Transcriptomic Model For Predicting Mycobacterium Tuberculosis Culture Conversion, Maja Reimann, Korkut Avsar, Andrew R Dinardo, Torsten Goldmann, Gunar Günther, Michael Hoelscher, Elmira Ibraim, Barbara Kalsdorf, Stefan H E Kaufmann, Niklas Köhler, Anna M Mandalakas, Florian P Maurer, Marius Müller, Dörte Nitschkowski, Ioana D Olaru, Cristina Popa, Andrea Rachow, Thierry Rolling, Helmut J F Salzer, Patricia Sanchez-Carballo, Maren Schuhmann, Dagmar Schaub, Victor Spinu, Elena Terhalle, Markus Unnewehr, Nika J Zielinski, Jan Heyckendorf, Christoph Lange
Faculty, Staff and Students Publications
RATIONALE: Treatment monitoring of tuberculosis patients is complicated by a slow growth rate of Mycobacterium tuberculosis. Recently, host RNA signatures have been used to monitor the response to tuberculosis treatment.
OBJECTIVE: Identifying and validating a whole blood-based RNA signature model to predict microbiological treatment responses in patients on tuberculosis therapy.
METHODS: Using a multi-step machine learning algorithm to identify an RNA-based algorithm to predict the remaining time to culture conversion at flexible time points during anti-tuberculosis therapy.
RESULTS: The identification cohort included 149 patients split into a training and a test cohort, to develop a multistep algorithm consisting of …
Use Of Extracorporeal Membrane Oxygenation-Facilitated Large-Bore Catheter Embolectomy In The Treatment Of Acute Pulmonary Embolism Complicated By Shock, Hugh A Glazier, Amir Kaki
Use Of Extracorporeal Membrane Oxygenation-Facilitated Large-Bore Catheter Embolectomy In The Treatment Of Acute Pulmonary Embolism Complicated By Shock, Hugh A Glazier, Amir Kaki
The Texas Heart Institute Journal
This article reports the case of a 42-year-old man who presented with a saddle pulmonary embolus complicated by normotensive cardiogenic shock. The patient was first stabilized with venoarterial extracorporeal membrane oxygenation. Then, while the patient was still on extracorporeal membrane oxygenation, thrombectomy with a large-bore catheter device was performed that resulted in a large decrease in pulmonary artery pressures and a clinically significant increase in cardiac index, with rapid clinical improvement. Complete recovery of the patient's cardiopulmonary status has been maintained at intermediate-term follow-up. This treatment strategy should be considered favorably in the treatment of patients presenting with pulmonary embolism …
Conduction System Pacing For Heart Failure, Nathan R Smith, Patrick Lynch, Mihail G Chelu
Conduction System Pacing For Heart Failure, Nathan R Smith, Patrick Lynch, Mihail G Chelu
The Texas Heart Institute Journal
No abstract provided.
Stroke Survivors’ Telemedicine Experiences During The Covid-19 Pandemic: A Phenomenological Investigation, Barbara Kimmel, Annette Walder, Anette Ovalle, Chethan P Venkatasubba Rao, Sean I Savitz, Mark Goldberg, Steven Warach, Salvador Cruz-Flores, Daiwai M Olson, Jane A Anderson
Stroke Survivors’ Telemedicine Experiences During The Covid-19 Pandemic: A Phenomenological Investigation, Barbara Kimmel, Annette Walder, Anette Ovalle, Chethan P Venkatasubba Rao, Sean I Savitz, Mark Goldberg, Steven Warach, Salvador Cruz-Flores, Daiwai M Olson, Jane A Anderson
Faculty, Staff and Student Publications
PURPOSE: This study aimed to describe stroke survivors' experiences receiving telemedicine visits at the Lone Star Stroke Consortium during the COVID-19 pandemic.
MATERIALS AND METHODS: A qualitative descriptive phenomenological design was applied to gather patients' telemedicine experiences through in-depth interviews, using a study guide. Audio-recorded interviews were conducted via ZOOM and transcribed verbatim. Two independent reviewers used the Giorgi descriptive method to analyze the data and search for the essence of stroke survivors' follow-up telemedicine experiences during the COVID-19 pandemic.
RESULTS: Fifteen underserved patients were recruited: mean age, 51.8 (15.7), and 9 (60%) females. Three themes emerged: (1) vivid memory …
Myasthenia Gravis And Numb Chin Syndrome With Lung Carcinoma, Rajesh Kumar Gupta, Ashutosh Gupta, Daniel S Um, Zarrin Khameh Neda
Myasthenia Gravis And Numb Chin Syndrome With Lung Carcinoma, Rajesh Kumar Gupta, Ashutosh Gupta, Daniel S Um, Zarrin Khameh Neda
Faculty, Staff and Students Publications
No abstract provided.
Recent Progress In Microrna Detection Using Integrated Electric Fields And Optical Detection Methods, Logeeshan Velmanickam, Dharmakeerthi Nawarathna
Recent Progress In Microrna Detection Using Integrated Electric Fields And Optical Detection Methods, Logeeshan Velmanickam, Dharmakeerthi Nawarathna
Electrical & Computer Engineering Faculty Publications
Low-cost, highly-sensitivity, and minimally invasive tests for the detection and monitoring of life-threatening diseases and disorders can reduce the worldwide disease burden. Despite a number of interdisciplinary research efforts, there are still challenges remaining to be addressed, so clinically significant amounts of relevant biomarkers in body fluids can be detected with low assay cost, high sensitivity, and speed at point-of-care settings. Although the conventional proteomic technologies have shown promise, their ability to detect all levels of disease progression from early to advanced stages is limited to a limited number of diseases. One potential avenue for early diagnosis is microRNA (miRNA). …
Integrated Machine Learning And Deep Learning Models For Cardiovascular Disease Risk Prediction: A Comprehensive Comparative Study, Shadman Mahmood Khan Pathan, Sakan Binte Imran
Integrated Machine Learning And Deep Learning Models For Cardiovascular Disease Risk Prediction: A Comprehensive Comparative Study, Shadman Mahmood Khan Pathan, Sakan Binte Imran
Electrical & Computer Engineering Faculty Publications
Cardiovascular Diseases (CVDs) pose a significant global health challenge, necessitating accurate risk prediction for effective preventive measures. This comprehensive comparative study explores the performance of traditional Machine Learning (ML) and Deep Learning (DL) models in predicting CVD risk, utilizing a meticulously curated dataset derived from health records. Rigorous preprocessing, including normalization and outlier removal, enhances model robustness. Diverse ML models (Logistic Regression, Random Forest, Support Vector Machine, K-Nearest Neighbor, Decision Tree, and Gradient Boosting) are compared with a Long Short-Term Memory (LSTM) neural network for DL. Evaluation metrics include accuracy, ROC AUC, computation time, and memory usage. Results identify the …