Background:
Recent guidelines recommend against the routine use of
coronary artery calcification (CAC) detection because the additive value over
clinical prediction tools is uncertain. We compared CAC, with use of
electron-beam computed tomography (EBCT), with clinical and serologic coronary
risk factors for the identification of patients with increased coronary heart
disease risk.
Method:
We studied 630 active-duty US Army personnel (39-45 years old)
without known coronary artery disease (CAD) who were undergoing a routine
physical examination as required by regulations. Each participant underwent
clinical and serologic risk factor screening and EBCT
Result:
The
cohort (mean age 42 2 years, 82% male) had a low predicted risk of coronary
events (mean 5-year Framingham risk index [FRI] 1.6% 1.2%). The prevalence of
coronary calcification was 17.6% (male 20.6%, female 4.3%).
Significant
univariate correlates of CAC were total and low-density lipoprotein [LDL]
cholesterol, triglycerides, systolic blood pressure, and body mass index.
However, only LDL cholesterol was independently associated with CAC.
There
was a significant but weak relationship between CAC and the Framingham risk
index (FRI) (receiver-operator characteristic [ROC] curve area 0.62 0.03, P
<.001), which was not different from the relationship between CAC and LDL
cholesterol alone (ROC curve area 0.61 0.03, P <.001). The prevalence of any
CAC in men increased slightly across increasing quartiles of FRI: 17.0%, 20.8%,
33.0%, and 29.2% (P =.033).
Other
risk factors (family history, homocysteine, insulin, lipoprotein[a], and
fibrinogen) were not related to CAC.
Conclusion:
In
this age-homogeneous, low-risk screening cohort, conventional coronary risk
factors significantly underestimated the presence of premature,
subclinical calcified coronary atherosclerosis. These data support the potential
of CAC detection as an anatomic, plaque-burden diagnostic test to identify
patients who may require more intensive risk-reduction therapies, independent of
predicted clinical risk.
QUOTES:
‘It’s
time to turn the paradigm upside down. The way we do it now is just the
opposite. We look at all the risk factors and try to predict whether someone is
at risk. This study shows how poor a job we actually do of that’
Dr
Bruce Brundage of St. Charles Medical Center, Oregon, (former Chief of
Cardiology at Harbor-UCLA, USA).