Open AccessThe art of cardiovascular risk assessment
Author(s) -
Khambhati Jay,
AllardRatick Marc,
Dhindsa Devinder,
Lee Suegene,
Chen John,
Sandesara Pratik B.,
O'Neal Wesley,
Quyyumi Arshed A.,
Wong Nathan D.,
Blumenthal Roger S.,
Sperling Laurence S.
Publication year - 2018
Publication title -
clinical cardiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.263
H-Index - 72
eISSN - 1932-8737
pISSN - 0160-9289
DOI - 10.1002/clc.22930
Subject(s) - medicine , disease , risk assessment , intensive care medicine , cardiovascular health , population , risk factor , environmental health , computer security , computer science
Cardiovascular disease (CVD) remains the leading cause of death in the United States. Healthcare expenditures have been principally allocated toward treatment of CVD at the end of the health/disease continuum, rather than toward health promotion and disease prevention. A focused effort on both primordial and primary prevention can promote cardiovascular health and reduce the burden of CVD. Risk‐factor assessment for predicting atherosclerotic CVD events serves as the foundation of preventive cardiology and has been driven by population‐based scoring algorithms based on traditional risk factors. Incorporating individual nontraditional risk factors, biomarkers, and selective use of noninvasive measures may help identify more at‐risk patients as well as truly low‐risk individuals, allowing for better targeting of treatment intensity. Using a combination of validated population‐based atherosclerotic CVD risk‐assessment tools, nontraditional risk factors, social health determinants, and novel markers of atherosclerotic disease, we should be able to improve our ability to assess CVD risk. Through scientific evidence, clinical judgment, and discussion between the patient and clinician, we can implement an effective evidence‐based strategy to assess and reduce CVD risk.