The metabolic syndrome is a common metabolic disorder that results from the increasing
prevalence of obesity. The disorder is defined in various ways, but in the near future a new …

Objective: Electronic health records (EHRs) are an increasingly common data source for
clinical risk prediction, presenting both unique analytic opportunities and challenges. We …

Background To help adapt cardiovascular disease risk prediction approaches to low-income
and middle-income countries, WHO has convened an effort to develop, evaluate, and …

Background—Separate multivariable risk algorithms are commonly used to assess risk of
specific atherosclerotic cardiovascular disease (CVD) events, ie, coronary heart disease …

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Identification of key factors associated with the risk of develo** cardiovascular disease
and quantification of this risk using multivariable prediction algorithms are among the major …

Objective To provide an overview of prediction models for risk of cardiovascular disease
(CVD) in the general population. Design Systematic review. Data sources Medline and …

ContextAtherothrombosis is the leading cause of cardiovascular morbidity and mortality
around the globe. To date, no single international database has characterized the …

echocardiogram) may be expected to facilitate the identification of patients with chest pain of
an ischemic etiology (angina). In a patient presenting to the emergency department with …

Background Prevalence of smoking is increasing in women in some populations and is a
risk factor for coronary heart disease. Whether smoking confers the same excess risk of …