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Observational Study
. 2020 Jul 1;3(7):e2011444.
doi: 10.1001/jamanetworkopen.2020.11444.

Association of Cardiovascular Disease Risk Factor Burden With Progression of Coronary Atherosclerosis Assessed by Serial Coronary Computed Tomographic Angiography

Affiliations
Observational Study

Association of Cardiovascular Disease Risk Factor Burden With Progression of Coronary Atherosclerosis Assessed by Serial Coronary Computed Tomographic Angiography

Donghee Han et al. JAMA Netw Open. .

Abstract

Importance: Several studies have reported that the progression of coronary atherosclerosis, as measured by serial coronary computed tomographic (CT) angiography, is associated with the risk of future cardiovascular events. However, the cumulative consequences of multiple risk factors for plaque progression and the development of adverse plaque characteristics have not been well characterized.

Objectives: To examine the association of cardiovascular risk factor burden, as assessed by atherosclerotic cardiovascular disease (ASCVD) risk score, with the progression of coronary atherosclerosis and the development of adverse plaque characteristics.

Design, setting, and participants: This cohort study is a subgroup analysis of participant data from the prospective observational Progression of Atherosclerotic Plaque Determined by Computed Tomographic Angiography Imaging (PARADIGM) study, which evaluated the association between serial coronary CT angiography findings and clinical presentation. The PARADIGM international multicenter registry, which includes 13 centers in 7 countries (Brazil, Canada, Germany, Italy, Portugal, South Korea, and the US), was used to identify 1005 adult patients without known coronary artery disease who underwent serial coronary CT angiography scans (median interscan interval, 3.3 years; interquartile range [IQR], 2.6-4.8 years) between December 24, 2003, and December 16, 2015. Based on the 10-year ASCVD risk score, the cardiovascular risk factor burden was classified as low (<7.5%), intermediate (7.5%-20.0%), or high (>20.0%). Data were analyzed from February 8, 2019, to April 17, 2020.

Exposures: Association of baseline ASCVD risk burden with plaque progression.

Main outcomes and measures: Noncalcified plaque, calcified plaque, and total plaque volumes (mm3) were measured. Noncalcified plaque was subclassified using predefined Hounsfield unit thresholds for fibrous, fibrofatty, and low-attenuation plaque. The percent atheroma volume (PAV) was defined as plaque volume divided by vessel volume. Adverse plaque characteristics were defined as the presence of positive remodeling, low-attenuation plaque, or spotty calcification.

Results: In total, 1005 patients (mean [SD] age, 60 [8] years; 575 men [57.2%]) were included in the analysis. Of those, 463 patients (46.1%) had a low 10-year ASCVD risk score (low-risk group), 373 patients (37.1%) had an intermediate ASCVD risk score (intermediate-risk group), and 169 patients (16.8%) had a high ASCVD risk score (high-risk group). The annualized progression rate of PAV for total plaque, calcified plaque, and noncalcified plaque was associated with increasing ASCVD risk (r = 0.26 for total plaque, r = 0.23 for calcified plaque, and r = 0.11 for noncalcified plaque; P < .001). The annualized PAV progression of total plaque, calcified plaque, and noncalcified plaque was significantly greater in the high-risk group compared with the low-risk and intermediate-risk groups (for total plaque, 0.99% vs 0.45% and 0.58%, respectively; P < .001; for calcified plaque, 0.61% vs 0.23% and 0.36%; P < .001; and for noncalcified plaque, 0.38%vs 0.22% and 0.23%; P = .01). When further subclassified by noncalcified plaque type, the annualized PAV progression of fibrofatty and low-attenuation plaque was greater in the high-risk group (0.09% and 0.02%, respectively) compared with the low- to intermediate-risk group (n = 836; 0.02% [P = .02] and 0.001% [P = .008], respectively). The interval development of adverse plaque characteristics was greater in the high-risk group compared with the low-risk and intermediate-risk groups (for new positive remodeling, 73 patients [43.2%] vs 151 patients [32.6%] and 133 patients [35.7%], respectively; P = .02; for new low-attenuation plaque, 26 patients [15.4%] vs 44 patients [9.5%] and 35 patients [9.4%]; P = .02; and for new spotty calcification, 37 patients [21.9%] vs 52 patients [11.2%] and 54 patients [14.5%]; P = .002). The progression of noncalcified plaque subclasses and the interval development of adverse plaque characteristics did not significantly differ between the low-risk and intermediate-risk groups.

Conclusions and relevance: Progression of coronary atherosclerosis occurred across all ASCVD risk groups and was associated with an increase in 10-year ASCVD risk. The progression of fibrofatty and low-attenuation plaques and the development of adverse plaque characteristics was greater in patients with a high risk of ASCVD.

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Conflict of interest statement

Conflict of Interest Disclosures: Dr Berman reported receiving royalties from software associated with coronary computed tomographic angiography outside the submitted work. Dr Budoff reported receiving grants from General Electric outside the submitted work. Dr Chinnaiyan reported receiving grants and nonfinancial support from HeartFlow outside the submitted work. Dr Leipsic reported receiving grants from GE Healthcare during the conduct of the study and personal fees and stock options from Circle Cardiovascular Imaging and HeartFlow outside the submitted work. Dr Pontone reported receiving grants from Bracco, GE Healthcare, and HeartFlow and personal fees from Bracco and GE Healthcare outside the submitted work. Dr Virmani reported receiving personal fees from Abbott Vascular, Boston Scientific, Celonova BioSciences, Cook Medical, Cordis, Cardiovascular Systems Inc, Edwards Lifesciences, Lutonix Bard, Medtronic, OrbusNeich Medical, ReCor Medical, Sino Medical Science Technology, Spectranetics, Surmodics, Terumo Corporation, W.L. Gore & Associates, and Xeltis outside the submitted work. Dr Samady reported receiving grants from Abbott Vascular, Gilead Sciences, Medtronic, and Philips and personal fees from Abbott Vascular, and Philips, and reported owning equity interest in Covanos and serving on the medical advisory board of Philips outside the submitted work. Dr Min reported receiving funding from the Dalio Foundation, GE Healthcare, and the National Institutes of Health, owning equity interest in Cleerly, and serving on the scientific advisory boards of Arineta and GE Healthcare outside the submitted work. No other disclosures were reported.

Figures

Figure 1.
Figure 1.. Annualized Plaque Progression
A, Total, calcified, and noncalcified plaque. B, Noncalcified plaque component. Plaque progression according to atherosclerotic cardiovascular disease risk score. PAV indicates percent atheroma volume. aComparison between high-risk group vs low- to intermediate-risk group (n = 836).
Figure 2.
Figure 2.. Newly Developed Adverse Plaque Characteristics in Follow-up Coronary Computed Tomographic Angiography
Adverse plaque characteristics according to atherosclerotic cardiovascular disease risk groups. aComparison between high-risk group vs low- to intermediate-risk group (n = 836) and intermediate-risk group to low-risk group.

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References

    1. Motoyama S, Sarai M, Harigaya H, et al. . Computed tomographic angiography characteristics of atherosclerotic plaques subsequently resulting in acute coronary syndrome. J Am Coll Cardiol. 2009;54(1):49-57. doi:10.1016/j.jacc.2009.02.068 - DOI - PubMed
    1. Nakazato R, Shalev A, Doh J-H, et al. . Aggregate plaque volume by coronary computed tomography angiography is superior and incremental to luminal narrowing for diagnosis of ischemic lesions of intermediate stenosis severity. J Am Coll Cardiol. 2013;62(5):460-467. doi:10.1016/j.jacc.2013.04.062 - DOI - PubMed
    1. Park H-B, Lee BK, Shin S, et al. . Clinical feasibility of 3D automated coronary atherosclerotic plaque quantification algorithm on coronary computed tomography angiography: comparison with intravascular ultrasound. Eur Radiol. 2015;25(10):3073-3083. doi:10.1007/s00330-015-3698-z - DOI - PubMed
    1. Dey D, Schepis T, Marwan M, Slomka PJ, Berman DS, Achenbach S. Automated three-dimensional quantification of noncalcified coronary plaque from coronary CT angiography: comparison with intravascular US. Radiology. 2010;257(2):516-522. doi:10.1148/radiol.10100681 - DOI - PubMed
    1. Lee S-E, Park H-B, Xuan D, et al. . Consistency of quantitative analysis of coronary computed tomography angiography. J Cardiovasc Comput Tomogr. 2019;13(1):48-54. doi:10.1016/j.jcct.2018.09.012 - DOI - PubMed

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