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Prevalence and Prognostic Implications of Coronary Artery Calcification in Low-Risk Women: A Meta-analysis
Open accessAbstract
Importance: The role of coronary artery calcium (CAC) testing for guiding preventive strategies among women at low cardiovascular disease (CVD) risk based on the American College of Cardiology and American Heart Association CVD prevention guidelines is unclear. Objective: To assess the potential utility of CAC testing for CVD risk estimation and stratification among low-risk women. Design, Setting, and Participants: Women with 10-year atherosclerotic CVD (ASCVD) risk lower than 7.5% from 5 large population-based cohorts: the Dallas Heart Study (United States), the Framingham Heart Study (United States), the Heinz Nixdorf Recall study (Germany), the Multi-Ethnic Study of Atherosclerosis (United States), and the Rotterdam Study (the Netherlands). The 5 cohorts were selected based on the availability of CAC data in a sizable group of low-risk women from the general population together with the long detailed follow-up data. Across the cohorts, events were assessed from the date of CAC scan (performed from 1998 through 2006) until January 1, 2012; January 1, 2014; or March 6, 2015. Fixed-effects meta-analysis was conducted to combine the results of the 5 studies. Exposures: CAC score by computed tomography. Main Outcomes and Measures: Main outcome was incident ASCVD, including nonfatal myocardial infarction, coronary heart disease (CHD) death, and stroke. Association of CAC with ASCVD was examined using Cox proportional hazards models. To assess whether CAC was associated with improved ASCVD risk predictions beyond the traditional risk factors, the C statistic and the continuous net reclassification improvement (cNRI) index were calculated. Results: Among 6739 women with low ASCVD risk from the 5 studies, mean age ranged from 44 to 63 years and CAC was present in 36.1%. Across the cohorts, median follow-up ranged from 7.0 to 11.6 years. A total of 165 ASCVD events occurred (64 nonfatal myocardial infarctions, 29 CHD deaths, and 72 strokes), with the ASCVD incidence rates ranging from 1.5 to 6.0 per 1000 person-years. Compared with the absence of CAC (CAC = 0), presence of CAC (CAC >0) was associated with an increased risk of ASCVD (incidence rates per 1000 person-years, 1.41 for CAC absence vs 4.33 for CAC presence; difference, 2.92 [95% CI, 2.02-3.83]; multivariable-adjusted hazard ratio, 2.04 [95% CI, 1.44-2.90]). The addition of CAC to traditional risk factors improved the C statistic from 0.73 (95% CI, 0.69-0.77) to 0.77 (95% CI, 0.74-0.81) and provided a cNRI of 0.20 (95% CI, 0.09-0.31) for ASCVD prediction. Conclusions and Relevance: Among women at low ASCVD risk, CAC was present in approximately one-third and was associated with an increased risk of ASCVD and modest improvement in prognostic accuracy compared with traditional risk factors. Further research is needed to assess the clinical utility and cost-effectiveness of this additional accuracy.
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“The use of imaging techniques to determine the presence and extent of atherosclerotic vascular damage in low-risk individuals not being considered for statin therapy is not justified due to low prognostic yield, and the associated costs and radiation hazards when measuring CAC score, particularly among low-risk women [29].”
From 2019 ESC/EAS guidelines for the management of dyslipidaemias: lipid modification to reduce cardiovascular risk (2019) · cites this paper as [29]
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Measuring inconsistency in meta-analyses
Higgins, J. P. T., Thompson, S. G., Deeks, J. J., & Altman, D. G. (2003) · BMJ · doi:10.1136/bmj.327.7414.557 · Cited by 63,139
Grundy, S. M., Bilheimer, D. W., Chait, A., Clark, L. T., Denke, M. A., Havel, R. J., Hazzard, W. R., Hulley, S. B., Hunninghake, D. B., Kreisberg, R. A., et al. (1993) · JAMA · doi:10.1001/jama.269.23.3015 · Cited by 27,944
Expert Panel on Detection, E. (2001) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.285.19.2486 · Cited by 26,011
2013 ACCF/AHA Guideline for the Management of Heart Failure
Yancy, C. W., Jessup, M., Bozkurt, B., Butler, J., Casey, D. E., Drazner, M. H., Fonarow, G. C., Geraci, S. A., Horwich, T., Januzzi, J. L., et al. (2013) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2013.05.019 · Cited by 12,536
Prediction of coronary heart disease using risk factor categories
Wilson, P. W. F., D’Agostino, R. B., Levy, D., Belanger, A. M., Silbershatz, H., & Kannel, W. B. (1998) · Circulation · doi:10.1161/01.cir.97.18.1837 · Cited by 9,581
Quantification of coronary artery calcium using ultrafast computed tomography
Agatston, A. S., Janowitz, W. R., Hildner, F. J., Zusmer, N. R., Viamonte, M., & Detrano, R. (1990) · Journal of the American College of Cardiology · doi:10.1016/0735-1097(90)90282-t · Cited by 7,786
Stone, N. J., Robinson, J. G., Lichtenstein, A. H., Bairey Merz, C. N., Blum, C. B., Eckel, R. H., Goldberg, A. C., Gordon, D., Levy, D., Lloyd-Jones, D. M., et al. (2014) · Circulation · doi:10.1161/01.cir.0000437738.63853.7a · Cited by 7,081
Heart Disease and Stroke Statistics—2016 Update: A Report From the American Heart Association
Mozaffarian, D., Benjamin, E. J., Go, A. S., Arnett, D. K., Blaha, M. J., Cushman, M., Das, S. R., de Ferranti, S., Després, J.-P., Fullerton, H. J., et al. (2016) · Circulation · doi:10.1161/cir.0000000000000350 · Cited by 6,596
Heart Disease and Stroke Statistics—2015 Update: A Report From the American Heart Association
Mozaffarian, D., Benjamin, E. J., Go, A. S., Arnett, D. K., Blaha, M. J., Cushman, M., de Ferranti, S., Després, J.-P., Fullerton, H. J., Howard, V. J., et al. (2015) · Circulation · doi:10.1161/cir.0000000000000152 · Cited by 5,797
Multi-Ethnic Study of Atherosclerosis: Objectives and Design
Bild, D. E. (2002) · American Journal of Epidemiology · doi:10.1093/aje/kwf113 · Cited by 3,942
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Metadata
- Authors
- Kavousi, M., Desai, C. S., Ayers, C., Blumenthal, R. S., Budoff, M. J., Mahabadi, A.-A., Ikram, M. A., van der Lugt, A., Hofman, A., Erbel, R., Khera, A., Geisel, M. H., Jöckel, K.-H., Lehmann, N., Hoffmann, U., O’Donnell, C. J., Massaro, J. M., Liu, K., Möhlenkamp, S., Ning, H., Franco, O. H., & Greenland, P.
- Affiliations
- Erasmus MC (NL)
- Johns Hopkins University (US)
- The University of Texas Southwestern Medical Center (US)
- University of California, Los Angeles (US)
- West German Heart and Vascular Center Essen (DE)
- Department of Radiology, Erasmus University Medical Center, Rotterdam, the Netherlands
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands8Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- University of Duisburg-Essen (DE)
- Harvard University (US)
- Boston University (US)
- Northwestern University (US)
- Bethanien Krankenhaus Moers (DE)
- Corresponding author
- Kavousi, Maryam
- ORCID
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 2016-11-22
- Volume
- 316
- Issue
- 20
- Pages
- 2126
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- OpenAlex
- W2549490050
- Cited by
- 141
- References
- 43
- Citations by year
- 2026: 7 · 2025: 7 · 2024: 13 · 2023: 15 · 2022: 16 · 2021: 22 · 2020: 10 · 2019: 19 · 2018: 15 · 2017: 16 · 2016: 1
- FWCI
- 2.63
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- JAMA (publishedVersion)
- PubMed (publishedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (submittedVersion)
- Funders
- National Institutes of Health (n01hc25195-41-0-1, 5r01hl080124-05, UL1TR000040)
- National Institute on Aging (R01AG028321)
- National Heart, Lung, and Blood Institute (R01-HL080124, N01-HC-025195, R01HL077447, R01HL107385, R01HL076784, R01HL070100, R01HL060040, R01HL071039)
- National Center for Advancing Translational Sciences
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Cardiac Imaging and Diagnostics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Health Promotion and Cardiovascular Prevention
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Lipoproteins and Cardiovascular Health
- Keywords
- coronary artery calcification, coronary artery calcium score, atherosclerotic cardiovascular disease, cardiovascular risk stratification, cardiovascular risk prediction, myocardial infarction, stroke, coronary heart disease mortality, net reclassification improvement, concordance index, cardiovascular disease prevention, women's cardiovascular health, coronary risk factors, coronary artery disease
- MeSH terms
- Adult, Calcinosis, Calcium, Coronary Artery Disease, Coronary Vessels, Female, Humans, Middle Aged, Cardiomyopathies, Netherlands, Prognosis, Tomography, X-Ray Computed, United States, Cohort Studies, Prevalence, Proportional Hazards Models, Risk Assessment, Stroke
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