We have several risk models to try to assess which patients
are at highest risk for heart disease. The traditional models use the widely
accepted parameters such as cholesterol levels, smoking, diabetes,
hypertension, and family history. Much of the collected data stems from the
Framingham model. (Quick calculation)
In order to further refine risk assessment, the AHRQ (Agency for Health Care Research and Quality) has
evaluated some non-traditional risk factors and issued recommendations. These
recommendations are aimed at asymptomatic adults with an intermediate risk
(10-20%) of future heart disease as determined by multiple traditional risk
factors (such as the Framingham or ATPIII models).
There is agreement that measurement of cardiac C-reactive
protein (CRP) may be reasonable in persons who have an intermediate risk and it
is uncertain as to the use of preventive therapies such as starting
cholesterol-lowering medications.
There is also agreement that lipid studies beyond the
standard fasting profile are not recommended. The non-recommended screening
tests include lipoprotein subclasses, apolipoproteins, particle size and
density. However, these tests might be helpful in identifying susceptible
individuals where there is a strong family history. An emerging test, lipoprotein-associated
phospholipase A2 (Lp-PLA2) might be helpful; data is still pending.
There is no evidence that homocysteine level screening is
helpful. Measurement of natriuretic peptide is not recommended in asymptomatic
adults. Fibrinogen and white blood cells are independent markers of cardiovascular
risk, but there is insufficient evidence for the use in screening.
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