Location
Philadelphia, PA
Start Date
30-4-2025 1:00 PM
End Date
30-4-2025 4:00 PM
Description
The objective of this study is to examine factors that predict myocardial infarction or hinder myocardial infarction among patients with a known risk factor of hyperlipidemia. Multiple factors will be examined alone and the interactions of such factors using a regression model. Despite major advancements in pharmaceuticals and medical interventions, heart disease remains the world's leading cause of death. While extensive research has been conducted on its risk factors, critical gaps persist—particularly among understudied populations. Addressing these gaps is essential to developing more effective prevention and treatment strategies. For instance, cardiovascular disease often presents differently in women, yet much of the research focuses predominantly on male populations. The impact of social determinants-such as socioeconomic status, access to healthcare, and cultural factors-on cardiovascular outcomes is an emerging area of study, but more exploration is needed. The COVID-19 pandemic further highlighted the connection between viral infections and an increased risk of heart disease, highlighting the need for long-term research into the lasting effects of such conditions. Furthermore, the relationship between mental health and cardiovascular disease remains under-explored, despite growing evidence of its significance. Although genetics have been the focus of extensive research, the development of precision treatments tailored to individuals’ genetic profiles is still in its early stages. Moreover, much of the current research isolates individual risk factors, without addressing how these factors interact with one another. The All of Us NIH program is working to improve health care through research. The database encompasses over 800,000 participant data from diverse backgrounds and varying health conditions and lifestyles. It is clear that treatment and prevention measures that work for one patient may not work for another, yet providers still take a collectivist approach to their patients. By analyzing specific diseases and how their risk factors, outcomes, treatments, and diagnostics vary between each participant we can create a more individualized health care system. Precision medicine considers lifestyle, genetics, location, and more to give providers the information they need to make the best recommendations for each individual patient. By matching the right treatment with the right patient, we can reduce health disparities and cost of treatment while improving overall outcomes. In a time where precision medicine is becoming more prevalent, a deeper understanding of how these risk factors intersect could lead to significant advancements in cardiovascular care. By studying the interplay of genetic, social, and psychological factors, we can move closer to more effective, individualized treatments, ultimately improving health outcomes on a global scale.
Embargo Period
12-2-2025
Risk Factors for Myocardial Infarction in Patients with Hyperlipidemia: A Logistic Regression Analysis
Philadelphia, PA
The objective of this study is to examine factors that predict myocardial infarction or hinder myocardial infarction among patients with a known risk factor of hyperlipidemia. Multiple factors will be examined alone and the interactions of such factors using a regression model. Despite major advancements in pharmaceuticals and medical interventions, heart disease remains the world's leading cause of death. While extensive research has been conducted on its risk factors, critical gaps persist—particularly among understudied populations. Addressing these gaps is essential to developing more effective prevention and treatment strategies. For instance, cardiovascular disease often presents differently in women, yet much of the research focuses predominantly on male populations. The impact of social determinants-such as socioeconomic status, access to healthcare, and cultural factors-on cardiovascular outcomes is an emerging area of study, but more exploration is needed. The COVID-19 pandemic further highlighted the connection between viral infections and an increased risk of heart disease, highlighting the need for long-term research into the lasting effects of such conditions. Furthermore, the relationship between mental health and cardiovascular disease remains under-explored, despite growing evidence of its significance. Although genetics have been the focus of extensive research, the development of precision treatments tailored to individuals’ genetic profiles is still in its early stages. Moreover, much of the current research isolates individual risk factors, without addressing how these factors interact with one another. The All of Us NIH program is working to improve health care through research. The database encompasses over 800,000 participant data from diverse backgrounds and varying health conditions and lifestyles. It is clear that treatment and prevention measures that work for one patient may not work for another, yet providers still take a collectivist approach to their patients. By analyzing specific diseases and how their risk factors, outcomes, treatments, and diagnostics vary between each participant we can create a more individualized health care system. Precision medicine considers lifestyle, genetics, location, and more to give providers the information they need to make the best recommendations for each individual patient. By matching the right treatment with the right patient, we can reduce health disparities and cost of treatment while improving overall outcomes. In a time where precision medicine is becoming more prevalent, a deeper understanding of how these risk factors intersect could lead to significant advancements in cardiovascular care. By studying the interplay of genetic, social, and psychological factors, we can move closer to more effective, individualized treatments, ultimately improving health outcomes on a global scale.