TY - JOUR
T1 - Integrating information from novel risk factors with calculated risks : the critical impact of risk factor prevalence
AU - Kooter, A.J.
AU - Kostende, P.J.
AU - Groenewold, J.
AU - Thijs, A.
AU - Sattar, N.
AU - Smulders, Y.M.
PY - 2011
Y1 - 2011
N2 - Case vignette: a 60-year-old man visits his physician for
assessment of his 10-year cardiovascular risk. On the
basis of his systolic blood pressure, lipid profile, smoking
status, and the fact that he is nondiabetic, the Framingham
risk score estimates his risk to be 8%. The physician wonders
if he could further specify the patients risk by performing an
additional test like coronary calcium score or microalbuminuria
(MA). For matters of convenience and costs he decides to
test MA, which turns out positive. Assuming that MA has an
invariable and exact relative risk (RR), independent from the
aforementioned classical risk factors, of 2.0, what would this
man’s estimated risk become?
AB - Case vignette: a 60-year-old man visits his physician for
assessment of his 10-year cardiovascular risk. On the
basis of his systolic blood pressure, lipid profile, smoking
status, and the fact that he is nondiabetic, the Framingham
risk score estimates his risk to be 8%. The physician wonders
if he could further specify the patients risk by performing an
additional test like coronary calcium score or microalbuminuria
(MA). For matters of convenience and costs he decides to
test MA, which turns out positive. Assuming that MA has an
invariable and exact relative risk (RR), independent from the
aforementioned classical risk factors, of 2.0, what would this
man’s estimated risk become?
U2 - 10.1161/CIRCULATIONAHA.111.035725
DO - 10.1161/CIRCULATIONAHA.111.035725
M3 - Article
SN - 0009-7322
VL - 124
SP - 741
EP - 745
JO - Circulation
JF - Circulation
ER -