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Atrial fibrillation, also known as Afib or AF, is the most common irregular heart rhythm among the United States adult population. Atrial fibrillation is characterized by an abnormal fibrillation of the upper chambers of the heart, known as the atria. When left chronically untreated, this condition may lead to insufficient

Atrial fibrillation, also known as Afib or AF, is the most common irregular heart rhythm among the United States adult population. Atrial fibrillation is characterized by an abnormal fibrillation of the upper chambers of the heart, known as the atria. When left chronically untreated, this condition may lead to insufficient systemic blood flow or the formation of blood clots. Atrial fibrillation has many modifiable risk factors, meaning contributing habits and practices within the patient's control that may worsen the condition. Communication of these modifiable risk factors to patients with atrial fibrillation is important in improving patient quality of life and for reduction of disease symptoms. The motivation for this study was to convey the potential of improved disease process by lifestyle modification to patients with atrial fibrillation.
ContributorsLehman, Jessica Lynn (Author) / Ross, Heather (Thesis director) / Kelly, Lesly (Committee member) / Arizona State University. College of Nursing & Healthcare Innovation (Contributor) / Barrett, The Honors College (Contributor)
Created2017-12
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2D fetal echocardiography (ECHO) can be used for monitoring heart development in utero. This study’s purpose is to empirically model normal fetal heart growth and function changes during development by ECHO and compare these to fetuses diagnosed with and without cardiomyopathy with diabetic mothers. There are existing mathematical models describing

2D fetal echocardiography (ECHO) can be used for monitoring heart development in utero. This study’s purpose is to empirically model normal fetal heart growth and function changes during development by ECHO and compare these to fetuses diagnosed with and without cardiomyopathy with diabetic mothers. There are existing mathematical models describing fetal heart development but they warrant revalidation and adjustment. 377 normal fetuses with healthy mothers, 98 normal fetuses with diabetic mothers, and 37 fetuses with cardiomyopathy and diabetic mothers had their cardiac structural dimensions, cardiothoracic ratio, valve flow velocities, and heart rates measured by fetal ECHO in a retrospective chart review. Cardiac features were fitted to linear functions, with respect to gestational age, femur length, head circumference, and biparietal diameter and z-scores were created to model normal fetal growth for all parameters. These z-scores were used to assess what metrics had no difference in means between the normal fetuses of both healthy and diabetic mothers but differed from those diagnosed with cardiomyopathy. It was found that functional metrics like mitral and tricuspid E wave and pulmonary velocity could be important predictors for cardiomyopathy when fitted by gestational age, femur length, head circumference, and biparietal diameter. Additionally, aortic and tricuspid annulus diameters when fitted to estimated gestational age showed potential to be predictors for fetal cardiomyopathy. While the metrics overlapped over their full range, combining them together may have the potential for predicting cardiomyopathy in utero. Future directions of this study will explore creating a classifier model that can predict cardiomyopathy using the metrics assessed in this study.

ContributorsMishra, Shambhavi (Co-author) / Numani, Asfia (Co-author) / Sweazea, Karen (Thesis director) / Plasencia, Jonathan (Committee member) / Economics Program in CLAS (Contributor) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
148229-Thumbnail Image.png
Description

2D fetal echocardiography (ECHO) can be used for monitoring heart development in utero. This study’s purpose is to empirically model normal fetal heart growth and function changes during development by ECHO and compare these to fetuses diagnosed with and without cardiomyopathy with diabetic mothers. There are existing mathematical models describing

2D fetal echocardiography (ECHO) can be used for monitoring heart development in utero. This study’s purpose is to empirically model normal fetal heart growth and function changes during development by ECHO and compare these to fetuses diagnosed with and without cardiomyopathy with diabetic mothers. There are existing mathematical models describing fetal heart development but they warrant revalidation and adjustment. 377 normal fetuses with healthy mothers, 98 normal fetuses with diabetic mothers, and 37 fetuses with cardiomyopathy and diabetic mothers had their cardiac structural dimensions, cardiothoracic ratio, valve flow velocities, and heart rates measured by fetal ECHO in a retrospective chart review. Cardiac features were fitted to linear functions, with respect to gestational age, femur length, head circumference, and biparietal diameter and z-scores were created to model normal fetal growth for all parameters. These z-scores were used to assess what metrics had no difference in means between the normal fetuses of both healthy and diabetic mothers, but differed from those diagnosed with cardiomyopathy. It was found that functional metrics like mitral and tricuspid E wave and pulmonary velocity could be important predictors for cardiomyopathy when fitted by gestational age, femur length, head circumference, and biparietal diameter. Additionally, aortic and tricuspid annulus diameters when fitted to estimated gestational age showed potential to be predictors for fetal cardiomyopathy. While the metrics overlapped over their full range, combining them together may have the potential for predicting cardiomyopathy in utero. Future directions of this study will explore creating a classifier model that can predict cardiomyopathy using the metrics assessed in this study.

ContributorsNumani, Asfia (Co-author) / Mishra, Shambhavi (Co-author) / Sweazea, Karen (Thesis director) / Plasencia, Jon (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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HIV &AIDS is a global epidemic that has affected the lives of millions of people across the world. According to the World Health Organization (WHO), 37.7 million people were living with HIV in 2020. Sub-Saharan Africa has been particularly affected by the epidemic, specifically, the Southern and Eastern Africa region

HIV &AIDS is a global epidemic that has affected the lives of millions of people across the world. According to the World Health Organization (WHO), 37.7 million people were living with HIV in 2020. Sub-Saharan Africa has been particularly affected by the epidemic, specifically, the Southern and Eastern Africa region which accounts for the highest number of new HIV infections, the highest number of people living with HIV, and the highest number of AIDS-related deaths. Botswana, Eswatini and South Africa are countries located in Southern Africa and have been greatly affected by the HIV & AIDS epidemic as Botswana had the highest HIV prevalence from the late 90s to the early 2000s while Eswatini currently has the HIV highest prevalence rate, and South Africa currently has the highest number of people living with HIV in the world. This paper examines the HIV & AIDS health policies adopted by these three countries in their responses to the HIV & AIDS epidemic.

ContributorsOlatotse, Mpho (Author) / Ross, Heather (Thesis director) / Jehn, Megan (Committee member) / Barrett, The Honors College (Contributor) / College of Integrative Sciences and Arts (Contributor)
Created2021-12