Coronary Artery Disease: Prevention, Therapy, and Management

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Background

Coronary artery disease (CAD) is the most common type of heart disease worldwide both men and women, which causes high mortality and disability. CAD could be further divided into different subtypes, including stable angina and acute coronary syndrome, depending on the pathologic process that occurred within the coronary artery. Atherosclerosis, inflammation, and/or thrombosis are the main pathologic process that will cause CAD. Based on the formation of thrombosis in the coronary artery, this disease can be divided into acute and chronic stages.

Coronary artery disease has a high prevalence worldwide. Although several therapy strategies have been developed and mortality has decreased largely in recent decades, the accurate assessment and treatment of this disease remain unfulfilled to date. Research scientists focus intensively on this field, and thus plenty of results have been obtained. With the advent of advanced imaging and biomarker detection, more and more research findings aid in clinical decision-making in terms of risk prediction, therapy, and management. All of these efforts contribute to the era of precision medicine.

This Research Topic is committed to accepting high-quality original research, commentary, and correspondence that contribute to promoting the health practice in terms of the prevention, treatment, and management of patients with CAD worldwide. The topic integrates the academic and clinical aspects of healthcare in the fields of CAD. Evidence and knowledge valued by clinicians and potentially practice-changed will be encouraged by this Research Topic. Novel scientific discoveries accelerating the translation into new monitoring tools and therapies that improve clinical outcomes for patients will also be endorsed. Research areas of interest include pre-clinical research; clinical trials; personalized medicine; novel drugs, devices, and biologics; proteomics, genomics, and metabolomics.

Keywords: Coronary artery disease, therapy, novel drugs, risk prediction

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