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Hemoglobin A1c and Prediction of Cardiovascular Disease and All-Cause Mortality

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Hemoglobin A1c and Prediction of Cardiovascular Disease and All-Cause Mortality
Azeem, Amir
In this thesis, we will seek to evaluate the role of a biomarker, hemoglobin A1c, as a predictor of incident cardiovascular disease and all-cause mortality in a multi-ethic population free of cardiovascular disease and diabetes at the baseline. Atherosclerotic cardiovascular disease is a significant cause of morbidity and mortality and the prevalence continues to rise globally. The economic burden to care for cardiovascular disease is prohibitive. There has been growing interest to identify individuals who are at higher risk of developing cardiovascular disease so that targeted interventions can be administered. Existing models to predict cardiovascular disease are not very helpful in a large number of individuals and falsely categorize their cardiovascular risk profile. There is an opportunity to identify and use additional and novel biomarkers in order to improve our ability to predict cardiovascular disease. This knowledge may translate into targeted and efficient use of health care resources and implementation of preventive interventions in high risk individuals. The first chapter of our thesis will contain background, literature review and discussion of previous work done on this subject and will provide the foundation for our work. The second chapter will be the manuscript that will be submitted to a journal for publication. The last chapter will discuss additional analyses and further discussion of our findings.
Cardiovascular Disease
Cox Regression Analysis
Hemoglobin A1c
Net Reclassification Improvement
Receiver Operating Curve analysis
Herrington, David M. (committee chair)
Wagenknecht, Lynne E. (committee member)
Bertoni, Alain G. (committee member)
Hsu, Fang-Chi (committee member)
Burke, Gregory L. (committee member)
2013-08-23T08:35:17Z (accessioned)
2014-08-23T08:30:08Z (available)
2013 (issued)
Clinical and Population Translational Sciences (discipline)
2014-08-23 (terms)
http://hdl.handle.net/10339/39023 (uri)
en (iso)
Wake Forest University

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