Medicine and Health Sciences Commons^™

Risk Of Alzheimer's Disease Following Influenza Vaccination: A Claims-Based Cohort Study Using Propensity Score Matching, Avram S Bukhbinder, Yaobin Ling, Omar Hasan, Xiaoqian Jiang, Yejin Kim, Kamal N Phelps, Rosemarie E Schmandt, Albert Amran, Ryan Coburn, Srivathsan Ramesh, Qian Xiao, Paul E Schulz

Faculty, Staff and Student Publications

BACKGROUND: Prior studies have found a reduced risk of dementia of any etiology following influenza vaccination in selected populations, including veterans and patients with serious chronic health conditions. However, the effect of influenza vaccination on Alzheimer's disease (AD) risk in a general cohort of older US adults has not been characterized.

OBJECTIVE: To compare the risk of incident AD between patients with and without prior influenza vaccination in a large US claims database.

METHODS: Deidentified claims data spanning September 1, 2009 through August 31, 2019 were used. Eligible patients were free of dementia during the 6-year look-back period and≥65 years …

Fairly Predicting Graft Failure In Liver Transplant For Organ Assigning, Sirui Ding, Ruixiang Tang, Daochen Zha, Na Zou, Kai Zhang, Xiaoqian Jiang, Xia Hu

Faculty, Staff and Student Publications

Liver transplant is an essential therapy performed for severe liver diseases. The fact of scarce liver resources makes the organ assigning crucial. Model for End-stage Liver Disease (MELD) score is a widely adopted criterion when making organ distribution decisions. However, it ignores post-transplant outcomes and organ/donor features. These limitations motivate the emergence of machine learning (ML) models. Unfortunately, ML models could be unfair and trigger bias against certain groups of people. To tackle this problem, this work proposes a fair machine learning framework targeting graft failure prediction in liver transplant. Specifically, knowledge distillation is employed to handle dense and sparse …

Patients' Preferences For Androgen Deprivation Therapy In The Treatment Of Intermediate-Risk Prostate Cancer, Brian De, Lisa M Lowenstein, Kelsey L Corrigan, Lauren M Andring, Deborah A Kuban, Scott B Cantor, Robert J Volk, Karen E Hoffman

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Background. For men with intermediate-risk prostate cancer (IRPC), adding short-term androgen deprivation therapy (ADT) to external beam radiation therapy (EBRT) has shown efficacy, but men are often reluctant to accept it because of its impact on quality of life. Methods. We conducted time tradeoffs (score of 1 = perfect health and 0 = death) and probability tradeoffs with patients aged 51 to 78 y who had received EBRT for IRPC within the past 2 y. Of 40 patients, 20 had received 6 mo of ADT and 20 had declined. Utility assessments explored 4 ADT-related side effects: hot flashes, fatigue, loss …

Facilitating Federated Genomic Data Analysis By Identifying Record Correlations While Ensuring Privacy, Leonard Dervishi, Xinyue Wang, Wentao Li, Anisa Halimi, Jaideep Vaidya, Xiaoqian Jiang, Erman Ayday

Faculty, Staff and Student Publications

With the reduction of sequencing costs and the pervasiveness of computing devices, genomic data collection is continually growing. However, data collection is highly fragmented and the data is still siloed across different repositories. Analyzing all of this data would be transformative for genomics research. However, the data is sensitive, and therefore cannot be easily centralized. Furthermore, there may be correlations in the data, which if not detected, can impact the analysis. In this paper, we take the first step towards identifying correlated records across multiple data repositories in a privacy-preserving manner. The proposed framework, based on random shuffling, synthetic record …

Caries Risk Documentation And Prevention: Emeasures For Dental Electronic Health Records, Suhasini Bangar, Ana Neumann, Joel M White, Alfa Yansane, Todd R Johnson, Gregory W Olson, Shwetha V Kumar, Krishna K Kookal, Aram Kim, Enihomo Obadan-Udoh, Elizabeth Mertz, Kristen Simmons, Joanna Mullins, Ryan Brandon, Muhammad F Walji, Elsbeth Kalenderian

Faculty, Staff and Student Publications

BACKGROUND: Longitudinal patient level data available in the electronic health record (EHR) allows for the development, implementation, and validations of dental quality measures (eMeasures).

OBJECTIVE: We report the feasibility and validity of implementing two eMeasures. The eMeasures determined the proportion of patients receiving a caries risk assessment (eCRA) and corresponding appropriate risk-based preventative treatments for patients at elevated risk of caries (appropriateness of care [eAoC]) in two academic institutions and one accountable care organization, in the 2019 reporting year.

METHODS: Both eMeasures define the numerator and denominator beginning at the patient level, populations' specifications, and validated the automated queries. For …

Predicting Clinical Response To Everolimus In Er+ Breast Cancers Using Machine-Learning, Aritro Nath, Patrick A Cosgrove, Jeffrey T Chang, Andrea H Bild

Faculty, Staff and Student Publications

Endocrine therapy remains the primary treatment choice for ER+ breast cancers. However, most advanced ER+ breast cancers ultimately develop resistance to endocrine. This acquired resistance to endocrine therapy is often driven by the activation of the PI3K/AKT/mTOR signaling pathway. Everolimus, a drug that targets and inhibits the mTOR complex has been shown to improve clinical outcomes in metastatic ER+ breast cancers. However, there are no biomarkers currently available to guide the use of everolimus in the clinic for progressive patients, where multiple therapeutic options are available. Here, we utilized gene expression signatures from 9 ER+ breast cancer cell lines and …

A Structural, Cognitive, And Behavioral Model For Error Analysis Of Group B Streptococcus Prophylaxis In Pregnancy, Robert E Murphy, Jane C Ibekwe, Stella I Ibekwe, Jerrie S Refuerzo

Faculty, Staff and Student Publications

The objective of this study was to develop a structural-cognitive-behavioral model for error analysis of group B streptococcus (GBS) prophylaxis failure, classify delivery cases into this model, and examine compliance with treatment guidelines. A retrospective, cohort study was conducted of women with liveborn pregnancies greater than 24 weeks in April 2018 at a single hospital. We created a structural-cognitive-behavioral model of five assessments for adherence to GBS prophylaxis guidelines and then classified these into four distinct error stages. A descriptive analysis was performed to determine if the pregnancy had a perfect process, a GBS prophylaxis failure, or a fortuitous outcome. …

P-Smoother: Efficient Pbwt Smoothing Of Large Haplotype Panels, William Yue, Ardalan Naseri, Victor Wang, Pramesh Shakya, Shaojie Zhang, Degui Zhi

Faculty, Staff and Student Publications

MOTIVATION: As large haplotype panels become increasingly available, efficient string matching algorithms such as positional Burrows-Wheeler transformation (PBWT) are promising for identifying shared haplotypes. However, recent mutations and genotyping errors create occasional mismatches, presenting challenges for exact haplotype matching. Previous solutions are based on probabilistic models or seed-and-extension algorithms that passively tolerate mismatches.

RESULTS: Here, we propose a PBWT-based smoothing algorithm, P-smoother, to actively 'correct' these mismatches and thus 'smooth' the panel. P-smoother runs a bidirectional PBWT-based panel scanning that flips mismatching alleles based on the overall haplotype matching context, which we call the IBD (identical-by-descent) prior. In a simulated …

The Impact Of Merkel Cell Polyomavirus Positivity On Prognosis Of Merkel Cell Carcinoma: A Systematic Review And Meta-Analysis, Aimin Yang, Wilson Adrian Wijaya, Lei Yang, Yinhai He, Ying Cen, Junjie Chen

Faculty, Staff and Student Publications

INTRODUCTION: There are numerous findings over the past decade have indicated that Merkel cell carcinoma (MCC) may have two pathways of pathogenesis: one related to ultraviolet irradiation and the other to the Merkel cell polyomavirus (MCPyV). However, the predictive and clinicopathological value of MCPyV positivity in MCC patients is still debatable. This article aims to examine the most recent data regarding this issue.

METHODS: The thorough literature searches were conducted in the Medline Ovid, PubMed, Web of Science, the Cochrane CENTRAL Databases, and Embase Databases until December 31, 2021. The associations between overall survival (OS), Merkel cell carcinoma-specific survival (MSS), …

Enhancing Diagnosis Through Technology: Decision Support, Artificial Intelligence, And Beyond, Robert El-Kareh, Dean F Sittig

Faculty, Staff and Student Publications

Patient care in intensive care environments is complex, time-sensitive, and data-rich, factors that make these settings particularly well-suited to clinical decision support (CDS). A wide range of CDS interventions have been used in intensive care unit environments. The field needs well-designed studies to identify the most effective CDS approaches. Evolving artificial intelligence and machine learning models may reduce information-overload and enable teams to take better advantage of the large volume of patient data available to them. It is vital to effectively integrate new CDS into clinical workflows and to align closely with the cognitive processes of frontline clinicians.

Metabolic Imaging Using Hyperpolarization For Assessment Of Premalignancy, Shivanand Pudakalakatti, Priyank Raj, Travis C Salzillo, José S Enriquez, Dontrey Bourgeois, Prasanta Dutta, Mark Titus, Shayan Shams, Priya Bhosale, Michael Kim, Florencia Mcallister, Pratip K Bhattacharya

Faculty, Staff and Student Publications

There is an unmet need for noninvasive surrogate markers that can help identify premalignant lesions across different tumor types. Here we describe the methodology and technical details of protocols employed for in vivo

Advances In Non-Invasive Biosensing Measures To Monitor Wound Healing Progression, Walker D Short, Oluyinka O Olutoye, Benjamin W Padon, Umang M Parikh, Daniel Colchado, Hima Vangapandu, Shayan Shams, Taiyun Chi, Jangwook P Jung, Swathi Balaji

Faculty, Staff and Student Publications

Impaired wound healing is a significant financial and medical burden. The synthesis and deposition of extracellular matrix (ECM) in a new wound is a dynamic process that is constantly changing and adapting to the biochemical and biomechanical signaling from the extracellular microenvironments of the wound. This drives either a regenerative or fibrotic and scar-forming healing outcome. Disruptions in ECM deposition, structure, and composition lead to impaired healing in diseased states, such as in diabetes. Valid measures of the principal determinants of successful ECM deposition and wound healing include lack of bacterial contamination, good tissue perfusion, and reduced mechanical injury and …

Leveraging Deep Learning-Based Segmentation And Contours-Driven Deformable Registration For Dose Accumulation In Abdominal Structures, Molly M Mcculloch, Guillaume Cazoulat, Stina Svensson, Sergii Gryshkevych, Bastien Rigaud, Brian M Anderson, Ezgi Kirimli, Brian De, Ryan T Mathew, Mohamed Zaid, Dalia Elganainy, Christine B Peterson, Peter Balter, Eugene J Koay, Kristy K Brock

Faculty, Staff and Student Publications

PURPOSE: Discrepancies between planned and delivered dose to GI structures during radiation therapy (RT) of liver cancer may hamper the prediction of treatment outcomes. The purpose of this study is to develop a streamlined workflow for dose accumulation in a treatment planning system (TPS) during liver image-guided RT and to assess its accuracy when using different deformable image registration (DIR) algorithms.

MATERIALS AND METHODS: Fifty-six patients with primary and metastatic liver cancer treated with external beam radiotherapy guided by daily CT-on-rails (CTOR) were retrospectively analyzed. The liver, stomach and duodenum contours were auto-segmented on all planning CTs and daily CTORs …

The Potential Of Biology-Guided Radiation Therapy In Thoracic Cancer: A Preliminary Treatment Planning Study, Steven N Seyedin, Rostem Bassalow, Osama R Mawlawi, Lehendrick M Turner, Roshal R Patel, Samuel R Mazin, Oluwaseyi M Oderinde, Yevgen Voronenko, Cody A Wages, Peter D Olcott, Joe Y Chang, Peter A Balter, James W Welsh

Faculty, Staff and Student Publications

PURPOSE: We investigated the feasibility of biology-guided radiotherapy (BgRT), a technique that utilizes real-time positron emission imaging to minimize tumor motion uncertainties, to spare nearby organs at risk.

METHODS: Volumetric modulated arc therapy (VMAT), intensity-modulated proton (IMPT) therapy, and BgRT plans were created for a paratracheal node recurrence (case 1; 60 Gy in 10 fractions) and a primary peripheral left upper lobe adenocarcinoma (case 2; 50 Gy in four fractions).

RESULTS: For case 1, BgRT produced lower bronchus V40 values compared to VMAT and IMPT. For case 2, total lung V20 was lower in the BgRT case compared to VMAT …

A Transgenic Bacterial Artificial Chromosome Approach To Identify Regulatory Regions That Direct Amhr2 And Osterix Expression In Müllerian Duct Mesenchyme, Malcolm M Moses, Rachel D Mullen, Daniel I Idowu, Peter Maye, Soazik P Jamin, Richard R Behringer

Faculty, Staff and Student Publications

A transgenic mouse approach using bacterial artificial chromosomes (BAC) was used to identify regulatory regions that direct Müllerian duct expression for Amhr2 and Osterix (Osx, also known as Sp7). Amhr2 encodes the receptor that mediates anti-Müllerian hormone (AMH) signaling for Müllerian duct regression in male embryos. Amhr2 is expressed in the Müllerian duct mesenchyme of both male and female embryos. A ∼147-kb BAC clone containing the Amhr2 locus was used to generate transgenic mice. The transgene was able to rescue the block in Müllerian duct regression of Amhr2-null males, suggesting that the BAC clone contains regulatory …

Genetic Variants Associated With Circulating Liver Injury Markers In Mexican Americans, A Population At Risk For Non-Alcoholic Fatty Liver Disease, Caroline M Sabotta, Suet-Ying Kwan, Lauren E Petty, Jennifer E Below, Aron Joon, Peng Wei, Susan P Fisher-Hoch, Joseph B Mccormick, Laura Beretta

Faculty, Staff and Student Publications

Objective: Mexican Americans are disproportionally affected by non-alcoholic fatty liver disease (NAFLD), liver fibrosis and hepatocellular carcinoma. Noninvasive means to identify those in this population at high risk for these diseases are urgently needed. Approach: The Cameron County Hispanic Cohort (CCHC) is a population-based cohort with high rates of obesity (51%), type 2 diabetes (28%) and NAFLD (49%). In a subgroup of 564 CCHC subjects, we evaluated 339 genetic variants previously reported to be associated with liver injury markers aspartate aminotransferase (AST) and alanine aminotransferase (ALT) in United Kingdom and Japanese cohorts. Results: Association was confirmed for 86 variants. Among …

Automated Identification Of Missing Is-A Relations In The Human Phenotype Ontology, Maryamsadat Mohtashamian, Ran Hu, Rashmie Abeysinghe, Xubing Hao, Hua Xu, Licong Cui

Faculty, Staff and Student Publications

Auditing the Human Phenotype Ontology (HPO) is necessary to provide accurate terminology for its use in clinical research. We investigate an approach leveraging the lexical features of concepts in HPO to identify missing IS-A relations among HPO concepts. We first model the names of HPO concepts as sets of words in lower case. Then, we generate two types of concept-pairs which have at least a single common word: (1) Linked concept-pairs generated from concept-pairs having an IS-A relation; (2) Unlinked concept-pairs generated from concept-pairs without an IS- A relation. Concept-pairs generate Derived Term Pairs (DTPs) emphasizing unique lexical information of …

Cost Of Care For Asylum Seekers And Refugees Entering The United States: The Case Of Volunteer Medical Providers In El Paso, Texas, Rigoberto I Delgado, Manuel De La Rosa, Marlon A Picado, Lisa Ayoub-Rodriguez, Celia E Gonzalez, Leopold Gemoets

Faculty, Staff and Student Publications

BACKGROUND: Between October 2018, and February 2020, the United States saw an unprecedented increase in the number of asylum seekers and refugees arriving unexpectedly at international crossings along the US-Mexico Border. Many of these migrants needed proper medical attention, and consequently created significant pressure on local health systems. In El Paso, Texas, volunteer clinicians, collaborating closely with religious organizations and non-governmental organizations, provided outpatient medical care for the new arrivals; the county hospital provided in-patient care at local tax payers' expense. The objective of this study was to estimate costs of healthcare services offered by these volunteers in order to …

Magi1 Inhibits Interferon Signaling To Promote Influenza A Infection, Yin Wang, Jun-Ichi Abe, Khanh M Chau, Yongxing Wang, Hang Thi Vu, Loka Reddy Velatooru, Fahad Gulraiz, Masaki Imanishi, Venkata S K Samanthapudi, Minh T H Nguyen, Kyung Ae Ko, Ling-Ling Lee, Tamlyn N Thomas, Elizabeth A Olmsted-Davis, Sivareddy Kotla, Keigi Fujiwara, John P Cooke, Di Zhao, Scott E Evans, Nhat-Tu Le

Faculty, Staff and Student Publications

We have shown that membrane-associated guanylate kinase with inverted domain structure-1 (MAGI1), a scaffold protein with six PSD95/DiscLarge/ZO-1 (PDZ) domains, is involved in the regulation of endothelial cell (EC) activation and atherogenesis in mice. In addition to causing acute respiratory disease, influenza A virus (IAV) infection plays an important role in atherogenesis and triggers acute coronary syndromes and fatal myocardial infarction. Therefore, the aim of this study is to investigate the function and regulation of MAGI1 in IAV-induced EC activation. Whereas, EC infection by IAV increases MAGI1 expression, MAGI1 depletion suppresses IAV infection, suggesting that the induction of MAGI1 may …

Regulation Of T Cell Function By Protein S-Acylation, Savannah J West, Darren Boehning, Askar M Akimzhanov

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S-acylation, the reversible lipidation of free cysteine residues with long-chain fatty acids, is a highly dynamic post-translational protein modification that has recently emerged as an important regulator of the T cell function. The reversible nature of S-acylation sets this modification apart from other forms of protein lipidation and allows it to play a unique role in intracellular signal transduction. In recent years, a significant number of T cell proteins, including receptors, enzymes, ion channels, and adaptor proteins, were identified as S-acylated. It has been shown that S-acylation critically contributes to their function by regulating protein localization, stability and protein-protein interactions. …

Morphological Description Of Laevicaulisstuhlmanni (Simroth, 1895) (Pulmonata, Veronicellidae) From Egypt, Reham Fathey Ali, David G Robinson, Fabio Liberto

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BACKGROUND: Terrestrial slugs and snails are increasingly becoming serious pests of agricultural, horticultural and ornamental plants in Egypt, resulting in major economic losses.

NEW INFORMATION: This paper provides a detailed morphological and anatomical description of the veronicellid slug Laevicaulisstuhlmanni (Simroth, 1895) that has been recently recorded from Egypt. This population from Egypt is compared with Laevicaulis populations recently reported and described from Libya as L.striatus (Simroth, 1896) and with available data in literature. Some notes and a distribution map of the veronicellids introduced in north-eastern Africa are provided.

Semiparametric Copula-Based Regression Modeling Of Semi-Competing Risks Data, Hong Zhu, Yu Lan, Jing Ning, Yu Shen

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Semi-competing risks data often arise in medical studies where the terminal event (e.g., death) censors the non-terminal event (e.g., cancer recurrence), but the non-terminal event does not prevent the subsequent occurrence of the terminal event. This article considers regression modeling of semi-competing risks data to assess the covariate effects on the respective non-terminal and terminal event times. We propose a copula-based framework for semi-competing risks regression with time-varying coefficients, where the dependence between the non-terminal and terminal event times is characterized by a copula and the time-varying covariate effects are imposed on two marginal regression models. We develop a two-stage …

Impact Of Psychosocial, Behavioral And Lifestyle Factors On Subjective Cognitive Complaints And Perceived Quality Of Life In A Large Cohort Of Italian Breast Cancer Patients, Thomas West, Corrado Cavallero, Rita Ceccherini, Silva Foladore, Daniele Generali, Francesco Versace, Bruna Scaggiante

Faculty, Staff and Student Publications

The impact of psychosocial and behavioral factors on Cancer Related Cognitive Impairment manifestations is still under debate. Study's purpose is to determine the prevalence rate of cancer related cognitive impairment in a cohort of Italian breast cancer patients and to evaluate the implication of specific behavioral factors. For these purposes, a total of 233 women (106 breast cancer patients and 127 age-matched controls without oncological diagnosis) completed a questionnaire investigating cognitive functionality (FACT-Cog v3.0), sociodemographic characteristics, clinical information, psychosocial and behavioral factors (cognitive reserve, sleep quality, dietary habits, physical activity). The results indicated a higher prevalence rate of subjective cognitive …

Single-Incision Laparoscopic Splenectomy In Children With Massive Splenomegaly: A Prospective, Monocentric Pilot Study, Congjun Wang, Cheng Su, Chao Chen, Xianming Tang, Hong Wang, Wei Li, Yanqiang Li, Qiang Liu, Peng Chen, Yong Li, Yige Luo

Faculty, Staff and Student Publications

BACKGROUND: Single-incision laparoscopic splenectomy (SILS) remains a challenging procedure because of the technical difficulty. In this prospective study, we aimed to evaluate the efficacy and safety of SILS in children with massive splenomegaly.

METHODS: Pediatric patients with massive splenomegaly were recruited for SILS in a university-affiliated hospital. The data on patient demographics, clinical features, operative variables, and perioperative outcomes were collected prospectively and analyzed. According to the different surgical instruments, the patients were randomly assigned into two groups: the SILS with straight surgical instrument (SILS-S) group and the SILS with curved surgical instrument (SILS-C) group. A two-group comparative analysis was …

Cancer Treatment-Induced Nad+ Depletion In Premature Senescence And Late Cardiovascular Complications, Priyanka Banerjee, Elizabeth A Olmsted-Davis, Anita Deswal, Minh Th Nguyen, Efstratios Koutroumpakis, Nicholas L Palaskas, Steven H Lin, Sivareddy Kotla, Cielito Reyes-Gibby, Sai-Ching J Yeung, Syed Wamique Yusuf, Momoko Yoshimoto, Michihiro Kobayashi, Bing Yu, Keri Schadler, Joerg Herrmann, John P Cooke, Abhishek Jain, Eduardo Chini, Nhat-Tu Le, Jun-Ichi Abe

Faculty, Staff and Student Publications

Numerous studies have revealed the critical role of premature senescence induced by various cancer treatment modalities in the pathogenesis of aging-related diseases. Senescence-associated secretory phenotype (SASP) can be induced by telomere dysfunction. Telomeric DNA damage response induced by some cancer treatments can persist for months, possibly accounting for long-term sequelae of cancer treatments. Telomeric DNA damage-induced mitochondrial dysfunction and increased reactive oxygen species production are hallmarks of premature senescence. Recently, we reported that the nucleus-mitochondria positive feedback loop formed by p90 ribosomal S6 kinase (p90RSK) and phosphorylation of S496 on ERK5 (a unique member of the mitogen-activated protein kinase family …

Evolutionary Action Score Of Tp53 Analysis In Pathologically High-Risk Human Papillomavirus-Negative Head And Neck Cancer From A Phase 2 Clinical Trial: Nrg Oncology Radiation Therapy Oncology Group 0234, Chieko Michikawa, Pedro A Torres-Saavedra, Natalie L Silver, Paul M Harari, Merrill S Kies, David I Rosenthal, Quynh-Thu Le, Richard C Jordan, Dzifa Y Duose, Saradhi Mallampati, Sanchit Trivedi, Rajyalakshmi Luthra, Ignacio I Wistuba, Abdullah A Osman, Olivier Lichtarge, Robert L Foote, Upendra Parvathaneni, D Neil Hayes, Curtis R Pickering, Jeffrey N Myers

Faculty, Staff and Student Publications

PURPOSE: An evolutionary action scoring algorithm (EAp53) based on phylogenetic sequence variations stratifies patients with head and neck squamous cell carcinoma (HNSCC) bearing

METHODS AND MATERIALS: Eighty-one resection samples from patients treated surgically for stage III or IV human papillomavirus-negative HNSCC with high-risk pathologic features, who received either radiation therapy + cetuximab + cisplatin (cisplatin) or radiation therapy + cetuximab + docetaxel (docetaxel) as adjuvant treatment in a phase 2 study were subjected to

RESULTS: At a median follow-up of 9.8 years, there was a significant interaction between EAp53 group and treatment for overall survival (

CONCLUSIONS: The docetaxel arm …

Proton Image-Guided Radiation Assignment For Therapeutic Escalation Via Selection Of Locally Advanced Head And Neck Cancer Patients [Pirates]: A Phase I Safety And Feasibility Trial Of Mri-Guided Adaptive Particle Radiotherapy, Lisanne V Van Dijk, Steven J Frank, Ying Yuan, Brandon Gunn, Amy C Moreno, Abdallah S R Mohamed, Kathryn E Preston, Yun Qing, Michael T Spiotto, William H Morrison, Anna Lee, Jack Phan, Adam S Garden, David I Rosenthal, Johannes A Langendijk, Clifton D Fuller

Faculty, Staff and Student Publications

Introduction: Radiation dose-escalation for head and neck cancer (HNC) patients aiming to improve cure rates is challenging due to the increased risk of unacceptable treatment-induced toxicities. With "Proton Image-guided Radiation Assignment for Therapeutic Escalation via Selection of locally advanced head and neck cancer patients" (PIRATES), we present a novel treatment approach that is designed to facilitate dose-escalation while minimizing the risk of dose-limiting toxicities for locally advanced HPV-negative HNC patients. The aim of this Phase I trial is to assess the safety & feasibility of PIRATES approach.

Methods: The PIRATES protocol employs a multi-faceted dose-escalation approach to minimize the risk …

Landmark Mediation Survival Analysis Using Longitudinal Surrogate, Jie Zhou, Xun Jiang, H Amy Xia, Brian P Hobbs, Peng Wei

Faculty, Staff and Student Publications

Clinical cancer trials are designed to collect radiographic measurements of each patient's baseline and residual tumor burden at regular intervals over the course of study. For solid tumors, the extent of reduction in tumor size following treatment is used as a measure of a drug's antitumor activity. Statistical estimation of treatment efficacy routinely reduce the longitudinal assessment of tumor burden to a binary outcome describing the presence versus absence of an objective tumor response as defined by RECIST criteria. The objective response rate (ORR) is the predominate method for evaluating an experimental therapy in a single-arm trial. Additionally, ORR is …

A Nomogram For Predicting Upper Urinary Tract Damage Risk In Children With Neurogenic Bladder, Qi Li, Miao Cai, Qingsong Pu, Shengde Wu, Xing Liu, Tao Lin, Dawei He, Jianguo Wen, Guanghui Wei

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PURPOSE: To establish a predictive model for upper urinary tract damage (UUTD) in children with neurogenic bladder (NB) and verify its efficacy.

METHODS: A retrospective study was conducted that consisted of a training cohort with 167 NB patients and a validation cohort with 100 NB children. The clinical data of the two groups were compared first, and then univariate and multivariate logistic regression analyses were performed on the training cohort to identify predictors and develop the nomogram. The accuracy and clinical usefulness of the nomogram were verified by receiver operating characteristic (ROC) curve, calibration curve and decision curve analyses.

RESULTS: …

Phenotype-Genotype Analysis Of Caucasian Patients With High Risk Of Osteoarthritis, Yanfei Wang, Jacqueline Chyr, Pora Kim, Weiling Zhao, Xiaobo Zhou

Faculty, Staff and Student Publications

Background: Osteoarthritis (OA) is a common cause of disability and pain around the world. Epidemiologic studies of family history have revealed evidence of genetic influence on OA. Although many efforts have been devoted to exploring genetic biomarkers, the mechanism behind this complex disease remains unclear. The identified genetic risk variants only explain a small proportion of the disease phenotype. Traditional genome-wide association study (GWAS) focuses on radiographic evidence of OA and excludes sex chromosome information in the analysis. However, gender differences in OA are multifactorial, with a higher frequency in women, indicating that the chromosome X plays an essential role …