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• W2185174339 abstract "With the rise in the prevalence of coronary artery disease (CAD), predicting and modifying the risks associated with CAD have gained importance in modern medicine. Large cohort studies have quantified the relative risks attributable to various disease states. Risk-prediction algorithms, such as the Framingham risk table, estimate CAD event rates relative to a reference population.1 A recent paper suggests the following classification framework (Figure 1).2 • Major independent risk factors are cigarette smoking, diabetes mellitus, elevated serum total cholesterol, low HDL cholesterol, hypertension, and advancing age. • Predisposing factors have a negative impact on independent risks, and include obesity, abdominal obesity, physical inactivity, a family history of premature CAD, ethnic characteristics, and psychosocial factors. • Conditional factors are associated with risks for CAD, although they may or may not be independently associated. These include elevated serum triglycerides (TG), small LDL particles, lipoprotein(a) [Lp(a)], serum homocysteine (HCY), prothrombotic factors (such as fibrinogen), and markers of inflammation. A few problems, however, arise with this schema. It has been observed that approximately 50% of all myocardial infarctions (MIs) occur in individuals without hyperlipidemia.3 Also, an estimated one-third of infarct survivors have no identifiable risk factors. This issue of Cardiology Rounds will review some of the novel risk factors associated with the development of CAD and their impact in relation to our traditional understanding of risk." @default.
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• W2185174339 date "2001-01-01" @default.
• W2185174339 modified "2023-09-22" @default.
• W2185174339 title "Novel risk factors for coronary artery disease" @default.
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