Cardiovascular risk assessment - From individual risk prediction to estimation of global risk and change in risk in the populationReportar como inadecuado

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BMC Medicine

, 8:29

First Online: 25 May 2010Received: 29 April 2010Accepted: 25 May 2010DOI: 10.1186-1741-7015-8-29

Cite this article as: Batsis, J.A. & Lopez-Jimenez, F. BMC Med 2010 8: 29. doi:10.1186-1741-7015-8-29


BackgroundCardiovascular 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.

DiscussionUsing 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.

SummaryAlthough risk prediction formulae were intended on guiding clinicians to individualized therapy, they also can be used to ascertain trends at a population-level, particularly in situations where changes in different cardiovascular risk factors over time have different magnitudes and directions. The efficacy of interventions that are proposed to reduce cardiovascular risk impacting more than one risk factor can be well assessed by these means.


FRSFramingham risk score

HDLhigh density lipoprotein

HRhazard ratio

HS-CRPhigh sensitivity C-reactive protein

LDLlow density lipoprotein

NHANESNational Health and Nutrition Examination Survey

PROCAMProspective Cardiovascular Munster Heart Study

SCORESystematic Coronary Risk Evaluation system

UKPDSUnited Kingdom Prospective Diabetes Study.

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Autor: John A Batsis - Francisco Lopez-Jimenez


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