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Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans
Published on: August 28, 2018
Long-Term Prognosis After Coronary Artery Calcium Scoring Among Low-Intermediate Risk Women and Men
Anita A Kelkar1, William M Schultz1, Faisal Khosa1
1From the Department of Medicine, Emory University School of Medicine, Atlanta, GA (A.A.K., W.M.S., F.K., J.T.K., A.Q., L.J.S.); Departments of Medicine (J.S.-M.) and Radiology (B.W.J.O'H., J.K.M.), Weill Cornell Medical College, New York, NY; Department of Imaging, Cedars-Sinai Medical Center, Los Angeles, CA (H.G., D.S.B.); Department of Medicine, Johns Hopkins Ciccarone Center for the Prevention of Heart Disease, Baltimore, MD (M.J. Blaha); Department of Medicine, Harbor UCLA Medical Center, Los Angeles, CA (M.J. Budoff); and Tennessee Heart and Vascular Institute, Hendersonville (T.Q.C.).
Insights
Coronary artery calcium (CAC) scoring identifies higher-risk women than traditional factors alone. This screening method improves cardiovascular risk detection in asymptomatic individuals, especially women.
Area of Science:
- Cardiology
- Preventive Medicine
- Medical Imaging
Background:
- Traditional cardiovascular risk factors often underestimate risk in women.
- Asymptomatic individuals with low-intermediate risk require better prognostic tools.
Purpose of the Study:
- To evaluate the long-term prognosis of asymptomatic women and men with low-intermediate cardiovascular risk using coronary artery calcium (CAC) scoring.
- To compare the effectiveness of CAC scoring versus traditional risk factors in identifying at-risk women.
Main Methods:
- 2363 asymptomatic individuals with low-intermediate Framingham risk scores underwent CAC scanning.
- Follow-up median of 14.6 years with all-cause mortality analysis using Cox proportional hazards models.
- Receiver operating characteristics curve analysis to assess diagnostic performance.
Main Results:
- Older women (55.6 years) had higher CAC prevalence and extent than men (46.7 years).
- Women with CAC scores >10 exhibited increased mortality risk compared to men.
- 15-year mortality varied significantly with CAC scores in both sexes, ranging from 5.0% (women, CAC=0) to 23.5% (women, CAC≥400).
Conclusions:
- CAC scoring effectively identifies high-risk women with a low-intermediate traditional risk factor burden.
- CAC utilization in women can enhance risk detection algorithms beyond traditional factors.
- Further validation in external cohorts is recommended to support CAC use in women's cardiovascular risk assessment.
Background:
Cardiovascular screening of women using traditional risk factors has been challenging, with results often classifying a majority of women as lower risk than men. The aim of this report was to determine the long-term prognosis of asymptomatic women and men classified at low-intermediate risk undergoing screening with coronary artery calcium (CAC) scoring.
Methods And Results:
A total of 2363 asymptomatic women and men with traditional risk factors aggregating into a low-intermediate Framingham risk score (6%-9.9%; 10-year predicted risk) underwent CAC scanning. Individuals were followed up for a median of 14.6 years. We estimated all-cause mortality using Cox proportional hazards models; hazard ratios with 95% confidence intervals were calculated. The area under the curve from a receiver operating characteristics curve analysis was calculated. There were 1072 women who were older (55.6 years) when compared with the 1291 men (46.7 years; P<0.0001), resulting in a greater prevalence and extent of CAC; 18.8% of women and 15.1% of men had a CAC score ≥100 (P=0.029). This older group of women had a 1.44-fold higher 15-year adjusted mortality hazard when compared with men (P=0.022). For women, the 15-year mortality ranged from 5.0% for those with a CAC score of 0 to 23.5% for those with a CAC score ≥400 (P<0.001). For men, the 15-year mortality ranged from 3.5% for those with a CAC score of 0 to 18.0% for those with a CAC score ≥400 (P<0.001). Women with CAC scores >10 had a higher mortality risk when compared with men.
Conclusions:
Our findings extend previous work that CAC effectively identifies high-risk women with a low-intermediate risk factor burden. These data require validation in external cohorts but lend credence to the use of CAC in women to improve risk detection algorithms that are currently based on traditional risk factors.
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