Heart disease names
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Summary
9 papers analyzed
These studies suggest that heart disease names include hypertrophic cardiomyopathy and various cardiomyopathies classified by the MOGE(S) system.
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Understanding Heart Disease: Names and Classifications
Hypertrophic Cardiomyopathy: Evolution of Nomenclature
Hypertrophic cardiomyopathy (HCM) is a primary disease of the cardiac muscle characterized by asymmetrical hypertrophy and nondilated ventricular cavities. Initially described in 1958, this condition has been known by numerous names, reflecting the evolving understanding of its clinical and pathophysiologic spectrum. The term "hypertrophic cardiomyopathy" is now preferred to describe this disease, excluding secondary systemic diseases that cause increased cardiac mass.
Broad Spectrum of Heart Diseases
Heart disease encompasses a variety of conditions affecting the heart. These include blood vessel diseases like coronary artery disease, heart rhythm problems (arrhythmias), congenital heart defects, and more. If not diagnosed early, these conditions can worsen and become life-threatening. Cardiovascular disease (CVD), a subset of heart disease, is the leading cause of death worldwide, including conditions like cerebrovascular disease and rheumatic heart disease.
Cardiomyopathy Classifications
Cardiomyopathies are a group of diseases affecting the heart muscle. Historically, they have been classified into dilated (DCM), hypertrophic (HCM), and restrictive (RCM) types. The World Health Organization (WHO) and the International Society and Federation of Cardiology (ISFC) have further refined these classifications, adding categories like arrhythmogenic right ventricular cardiomyopathy (ARVC) and unclassified cardiomyopathy. Recent advances in genetic understanding have led to more sophisticated classifications endorsed by organizations like the American Heart Association (AHA) and the European Society of Cardiology (ESC).
Common Names and Misconceptions
The term "heart failure" is often misunderstood by the public, leading to misconceptions about the severity and treatability of the condition. Despite significant advancements in treatment, the term can imply that the heart has completely stopped working, which is not the case. Efforts are ongoing to find a more accurate and less alarming name for this condition.
Machine Learning in Heart Disease Prediction
Machine learning (ML) is increasingly used to predict heart disease, utilizing datasets with various attributes to improve accuracy. Techniques like Named Entity Recognition (NER) and deep learning algorithms are employed to analyze medical data and predict heart conditions, aiming to reduce mortality by providing early warnings to patients .
Conclusion
Heart disease is a complex and multifaceted condition with various names and classifications. From hypertrophic cardiomyopathy to broader categories like cardiovascular disease, understanding these terms is crucial for accurate diagnosis and treatment. Advances in genetic research and machine learning are enhancing our ability to predict and manage these conditions, ultimately aiming to reduce the global burden of heart disease.
Sources and full results
Most relevant research papers on this topic
2
Heart Disease Analysis System
2
1 Citations
2020