title: Panoptic total cardiovascular risk prediction using all predictors versus optimized risk assessment using variable subsets.
abstract: Cardiovascular disease remains the primary cause of mortality and morbidity in the developed world. Risk scores can provide clinical risk stratification and many exist for use in cardiovascular disease prevention and treatment. Cardiovascular risk scores predict mortality, coronary heart disease and other vascular disease using risk predictors such as patient age, sex, BMI, smoking history, cholesterol level, blood pressure, glucose level or diabetes diagnosis, family history of cardiovascular disease and creatinine. While the risk scores in existence are excellent for risk stratification, actual use in a clinical environment is lagging behind the rate of new risk score creation. Future research should focus on how to utilize risk scores most effectively and efficiently in clinical practice.
authors.affiliation: Intermountain Heart Institute, Intermountain Medical Center, Salt Lake City, UT 84107, USA. benjamin.horne@imail.org
authors.forename: Benjamin D
authors.initials: BD
authors.lastname: Horne
authors.forename: Stacey
authors.initials: S
authors.lastname: Knight
authors.forename: Heidi T
authors.initials: HT
authors.lastname: May
mesh_terms: D002318:Cardiovascular Diseases / Q000175:diagnosis* / Q000401:mortality / Q000473:pathology; D003661:Decision Support Techniques; D006305:Health Status Indicators; D006801:Humans; D011237:Predictive Value of Tests; D011379:Prognosis; D018570:Risk Assessment / Q000379:methods*; D012307:Risk Factors; D014481:United States