Document Type
Article
Publication Date
5-25-2010
Publication Title
BioMed Central Medicine
Department
Geisel School of Medicine
Abstract
Cardiovascular disease is the most common cause of death and risk prediction formulae such as the Framingham Risk Score have been developed to easily identify patients at high risk that may require therapeutic interventions. Using cardiovascular risk formulae at a population level to estimate and compare average cardiovascular risk among groups has been recently proposed as a way to facilitate surveillance of net cardiovascular risk and target public health interventions. Risk prediction formulas may help to compare interventions that cause effects of different magnitudes and directions in several cardiovascular risk factors, because these formulas assess the net change in risk using easily obtainable clinical variables. Because of conflicting data estimates of the incidence and prevalence of cardiovascular disease, risk prediction formulae may be a useful tool to estimate such risk at a population level.
DOI
10.1186/1741-7015-8-29
Original Citation
Batsis JA, Lopez-Jimenez F. Cardiovascular risk assessment--from individual risk prediction to estimation of global risk and change in risk in the population. BMC Med. 2010 May 25;8:29. doi: 10.1186/1741-7015-8-29. PMID: 20500815; PMCID: PMC2890533.
Dartmouth Digital Commons Citation
Batsis, John A. and Lopez-Jimenez, Francisco, "Cardiovascular Risk Assessment - From Individual Risk Prediction to Estimation of Global Risk and Change in Risk in the Population" (2010). Dartmouth Scholarship. 647.
https://digitalcommons.dartmouth.edu/facoa/647
