Cardiovascular Diseases Commons^™

Blunt Cerebrovascular Injury (Bcvi): Universal Cta Neck Screening At Level 2 Trauma Center, Tamine Gogel

Doctor of Nursing Practice Projects

Blunt Cerebrovascular Injury (BCVI) refers to injuries to the vessels supplying blood to the brain, primarily carotid and vertebral arteries, and can result from trauma, resulting in stroke by vessel dissection, thrombus formation, embolization, and hemorrhage. Timely identification is crucial for effective intervention and improved outcomes. This doctoral project proposes the implementation of universal screening using Computed Tomography Angiography (CTA) of the neck during initial workup for blunt force trauma at a Level II ACS-verified trauma center. The primary objective is to mitigate potential delays in diagnosing and treating BCVI, thereby reducing the likelihood of complications. Patients ≥ 15 years …

Education Of The Effects Of Obesity Medications And A Stepwise Approach To Mitigate Prevalence And Encourage Lifestyle Medicine For Primary Care Physicians, Kiely M. Curran

Department of Nutrition Student Projects

My Capstone project is an Educational Manual that emphasizes a healthcare team approach to the treatment and management of obesity. The Educational Manual consists of a standardized protocol in management of obesity in patients and a document with summarized references for primary care providers; and a simplified document for patient education. There is a growing interest in the usage of obesity medications. The purpose of my Capstone project is to provide a simplified manual for the primary care provider to reference to make knowledgeable and patient-centered decisions in the prescription of obesity medications and decisions in weight-management. My methodology included …

The Impact Of Simulated Image Acquisition Time Reduction On Image Quality And Parameters Of Myocardial Perfusion Imaging Using A Dedicated Cardiac Camera, Alireza Khatami

Electronic Thesis and Dissertation Repository

Heart disease is the second leading cause of death in Canada, highlighting the crucial role of early diagnosis in disease management. Myocardial perfusion imaging (MPI), is widely employed for this purpose, involves injecting a radiopharmaceutical into the body, imaging its distribution with a gamma camera, and revealing cardiac blood flow patterns. A significant challenge in MPI is the lengthy 8 to 10 minutes required for stress and rest imaging, potentially causing patient discomfort and compromising image quality due to movement. In a clinical study with 26 patients, post-processed data manipulation simulated a reduction in MPI imaging time. The findings indicated …

A Study Of Heart Disease Diagnosis Using Machine Learning And Data Mining, Intisar Ahmed

Electronic Theses, Projects, and Dissertations

Heart disease is the leading cause of death for people around the world today. Diagnosis for various forms of heart disease can be detected with numerous medical tests, however, predicting heart disease without such tests is very difficult. Machine learning can help process medical big data and provide hidden knowledge which otherwise would not be possible with the naked eye. The aim of this project is to explore how machine learning algorithms can be used in predicting heart disease by building an optimized model. The research questions are; 1) What Machine learning algorithms are used in the diagnosis of heart …

Optimal Analytical Methods For High Accuracy Cardiac Disease Classification And Treatment Based On Ecg Data, Jianwei Zheng

Computational and Data Sciences (PhD) Dissertations

This work constitutes six projects. In the first project, a newly inaugurated research database for 12-lead electrocardiogram signals was created under the auspices of Chapman University and Shaoxing People's Hospital (Shaoxing Hospital Zhejiang University School of Medicine). This database aims to enable the scientific community in conducting new studies on arrhythmia and other cardiovascular conditions. In the second project, we created a new 12-lead ECG database under the auspices of Chapman University and Ningbo First Hospital of Zhejiang University that aims to provide high quality data enabling detection of the distinctions between idiopathic ventricular arrhythmia from right ventricular outflow tract …

Novel Imaging Tools Reveal The Dynamics Of The Myocardial Growth Hormone Secretagogue Receptor In Heart Disease And Heart Failure, Rebecca Sullivan

Electronic Thesis and Dissertation Repository

Heart disease (HD) is the leading cause of mortality worldwide. Currently, diagnosis is based on clinical features, imaging, and circulating cardiac biomarkers. Cardiac imaging technologies, such as echocardiography and cardiac magnetic resonance imaging (cMRI), enable the non-invasive detection of changes in heart function. Although these modalities can detect changes in structure and anatomy, it is usually at later stages, where prevention may not be possible. In conjunction with imaging, circulating biomarkers of heart failure (HF), notably B-type natriuretic peptide (BNP) and cardiac troponin I and T, can be detected with increased levels in the blood. These biomarkers are associated with …

The Usefulness Of The Left Atrial Dilation Rate In Determining Severity Of Heart Failure, Laura B. Snyder

Senior Theses

Hypertension and vascular stiffness are two physiological conditions that strain the left ventricle (LV) and cause it to gain muscle mass. Eventually, the LV is unable to fill correctly and the patient develops Heart Failure with a preserved Ejection Fraction (HFpEF). Clinically, a patient’s left atrium (LA) area is measured as a diagnostic parameter of HFpEF severity. However, this doesn’t offer a prognosis or threshold of LA size necessitating hospitalization because of variation in patient demographics, genetics, and lifestyle which affect rates of HFpEF progression.

Since there are no medications or effective treatment options for HFpEF patients, there is a …

Bayesian Analytical Approaches For Metabolomics : A Novel Method For Molecular Structure-Informed Metabolite Interaction Modeling, A Novel Diagnostic Model For Differentiating Myocardial Infarction Type, And Approaches For Compound Identification Given Mass Spectrometry Data., Patrick J. Trainor

Electronic Theses and Dissertations

Metabolomics, the study of small molecules in biological systems, has enjoyed great success in enabling researchers to examine disease-associated metabolic dysregulation and has been utilized for the discovery biomarkers of disease and phenotypic states. In spite of recent technological advances in the analytical platforms utilized in metabolomics and the proliferation of tools for the analysis of metabolomics data, significant challenges in metabolomics data analyses remain. In this dissertation, we present three of these challenges and Bayesian methodological solutions for each. In the first part we develop a new methodology to serve a basis for making higher order inferences in metabolomics, …

Radical Social Ecology As Deep Pragmatism: A Call To The Abolition Of Systemic Dissonance And The Minimization Of Entropic Chaos, Arielle Brender

Student Theses 2015-Present

This paper aims to shed light on the dissonance caused by the superimposition of Dominant Human Systems on Natural Systems. I highlight the synthetic nature of Dominant Human Systems as egoic and linguistic phenomenon manufactured by a mere portion of the human population, which renders them inherently oppressive unto peoples and landscapes whose wisdom were barred from the design process. In pursuing a radical pragmatic approach to mending the simultaneous oppression and destruction of the human being and the earth, I highlight the necessity of minimizing entropic chaos caused by excess energy expenditure, an essential feature of systems that aim …

The Characterization Of Amyloid Fibrils And Novel Synthetic Heparin-Binding Peptides Binding To Cell Surfaces, Nicole Marie Hackenbrack

Chancellor’s Honors Program Projects

No abstract provided.

Endothelial And Smooth Muscle-Dependent Vascular Reactivity In Immature Arterialized Collateral Capillaries, Caitlin Koeroghlian

Biomedical Engineering

Peripheral arterial occlusive disease (PAOD) occurs due to the build up of atherosclerotic plaque and reduces blood flow to cause chronic ischemia. Patients with PAOD may experience intermittent claudication, or the pain in limb skeletal muscles due to a decease in blood flow. Collateral arteries can act as a natural bypass and improve blood flow to hypoxic tissue by creating an alternate route for blood to flow, but not all patients with PAOD have pre-existing collateral networks. Animal studies indicate that tissues without pre-existing collateral networks can form de novo collaterals from capillaries following occlusion of a feed artery. Unfortunately, …

Image Quality Of Energy-Dependent Approaches For X-Ray Angiography, Jesse Evan Tanguay

Electronic Thesis and Dissertation Repository

Digital subtraction angiography (DSA) is an x-ray-based imaging method widely used for diagnosis and treatment of patients with vascular disease. This technique uses subtraction of images acquired before and after injection of an iodinated contrast agent to generate iodine-specific images. While it is extremely successful at imaging structures that are near-stationary over a period of several seconds, motion artifacts can result in poor image quality with uncooperative patients and DSA is rarely used for coronary applications.

Alternative methods of generating iodine-specific images with reduced motion artifacts might exploit the energy-dependence of x-ray attenuation in a patient. This could be performed …