Prediction of cardiovascular disease events.
Observational studies with incidence of cardiovascular disease (CVD) events have typically provided the information that is used. Prediction of risk is dependent on accurate and precise baseline measurements in persons without coronary disease at baseline. Follow-up of 5 to 10 years is a typical interval of interest for the prediction of coronary disease events in adults who are asymptomatic at the baseline. Performance criteria for risk estimation include discrimination, calibration, and reclassification, and newer heart disease risk factors and biomarkers can be evaluated in the context of existing risk estimation approaches.
Atlanta VAMC Epidemiology and Genetics Section, Emory Clinical Cardiovascular Research Institute, Atlanta, GA 30322, USA. peter.wf.wilson@emory.edu
Peter W F
PW
Wilson
D015415:Biomarkers / Q000097:blood*; D002318:Cardiovascular Diseases / Q000097:blood / Q000453:epidemiology*; D014943:Global Health; D006801:Humans; D015994:Incidence; D008055:Lipids / Q000097:blood*; D011379:Prognosis; D018570:Risk Assessment; D012307:Risk Factors
D015415:Biomarkers; D008055:Lipids