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These studies suggest that coronary heart disease is a specific type of cardiovascular disease with distinct risk factors and treatment approaches, while cardiovascular disease encompasses a broader range of conditions including hypertension, cardiac dysrhythmias, and cerebrovascular disease.
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Cardiovascular disease (CVD) is a broad term encompassing a range of disorders affecting the heart and blood vessels. These include hypertension, coronary artery disease (CAD), cardiac dysrhythmias, cerebrovascular disease, valvular heart disease, cardiomyopathies, peripheral vascular disease, and congenital cardiac abnormalities . CVDs are the leading cause of death worldwide, affecting both developed and developing countries . The primary underlying cause of many CVDs is atherosclerosis, a condition characterized by the buildup of plaques in the arterial walls, leading to narrowed and hardened arteries.
Coronary artery disease (CAD) is a specific type of cardiovascular disease that involves the narrowing or blockage of the coronary arteries, which supply blood to the heart muscle . CAD is the most common form of heart disease and a leading cause of heart attacks. It is a major cause of morbidity and mortality, particularly in older adults. The risk factors for CAD include diabetes mellitus, hypertension, smoking, hyperlipidemia, obesity, homocystinuria, and psychosocial stress.
Both CVD and CAD share common risk factors such as hypertension, high cholesterol, smoking, and physical inactivity . Genetic factors also play a significant role, with genome-wide association studies identifying specific genetic markers associated with the premature onset of CAD. The pathophysiology of CAD involves the buildup of atherosclerotic plaques in the coronary arteries, leading to reduced blood flow to the heart muscle and increasing the risk of heart attacks.
The diagnosis of CAD often involves medical imaging techniques such as angiography, although these can be costly and have associated risks. Advances in machine learning and deep learning models are being explored to improve the accuracy of CAD diagnosis . Management of CAD typically includes lifestyle changes, pharmacological treatments, and, in some cases, revascularization procedures such as percutaneous coronary intervention (PCI) or coronary artery bypass grafting (CABG) .
The term 'stable' CAD is often used to describe patients with known cardiovascular disease who have not had a recent acute event. However, this term is misleading as it underestimates the ongoing risk of cardiovascular events in these patients. Chronic CAD should be viewed as a condition with a continuous risk of atherothrombotic events, requiring ongoing medical therapy and lifestyle modifications to mitigate these risks.
Certain populations, such as South Asian migrants, have a higher prevalence of CAD due to factors like increased abdominal obesity, type 2 diabetes, and dyslipidemia. Understanding the unique risk profiles and developing targeted interventions for these populations is crucial. Future research is needed to explore novel biomarkers and therapeutic approaches to further reduce the risk of adverse cardiovascular events .
In summary, while coronary artery disease is a specific type of cardiovascular disease, both share common risk factors and pathophysiological mechanisms. Effective management of these conditions requires a comprehensive approach that includes lifestyle modifications, pharmacological treatments, and, when necessary, surgical interventions. Ongoing research and advancements in diagnostic and therapeutic techniques hold promise for improving outcomes for patients with CAD and other forms of CVD.
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