For the entire cohort, the PCE risk agreed with the CAC 47% of the time and with the BAC 54% of the time.
By itself, a BAC score of more than 0 predicted a CAC score of more than 0 as well as both the Framingham Risk Score and the Pooled Cohort Equation score, with an area under the curve of 0.72 and 0.71, respectively.
BAC did, however, increase the accuracy of both these models for detecting high-risk CAC. In an analysis that included an additional 325 women with a history of coronary artery disease, the area under the curve increased to 0.77 when BAC was added to the FRS; it increased to 0.76 when added to the PCE model.
Adding BAC data to every mammogram would be an easy and very effective way to alert patients and their physicians to developing coronary artery disease, Dr. Margolies said.
“Even though heart disease kills 10 times more women than breast cancer does, there is no routine screening test for it. But digital mammography screening for breast cancer is a common procedure. I would advocate that we add the BAC data to mammogram reports so that we have a way to assess this risk. Women who were BAC positive could then undergo further risk assessment, preferably with a gated CT scan, with subsequent adjustment or initiation of statins,” she said.
Dr. Margolies had no relevant financial disclosures.