Literature DB >> 19356407

Prognostic value of number and site of calcified coronary lesions compared with the total score.

Marcus Williams1, Leslee J Shaw, Paolo Raggi, Douglas Morris, Viola Vaccarino, Sandy T Liu, Steven R Weinstein, Tristen P Mosler, Philip H Tseng, Ferdinand R Flores, Khurram Nasir, Matthew Budoff.   

Abstract

OBJECTIVES: This study sought to evaluate the long-term prognostic value of the number and sites of calcified coronary lesions and to compare the accuracy of number of calcified lesions with the extent of total calcium score.
BACKGROUND: There is a strong relationship between mortality and total coronary artery calcium (CAC) score. It is not known whether the number of calcified lesions or their location influences outcome.
METHODS: A total of 14,759 asymptomatic patients were referred for evaluation of CAC scanning using electron beam tomography. Univariable and multivariable Cox proportional hazards models were developed to estimate time to all-cause mortality at, on average, 6.8 years (n = 281).
RESULTS: Risk-adjusted annual mortality was 0.19% (95% confidence interval 0.18% to 0.21%) for patients without any calcified lesions. For patients with >20 lesions, annual risk-adjusted mortality exceeded 2% per year. Mortality rates were significantly higher for left main lesions as compared to other coronary arteries with annual mortality rates of 1.3%, 2.1%, 9.2%, and 13.6% for 1 to 2, 3 to 5, and > or =6 lesions, respectively (p < 0.0001). For left main CAC scores of 0 to 10, 11 to 100, 101 to 399, and 400 to 999, annual risk-adjusted mortality was 0.33%, 0.81%, 1.73%, and 7.71%, respectively (p < 0.0001). All 4 patients with a CAC score of > or =1,000 in the left main died during follow-up. However, patients with more frequent calcified lesions also had higher CAC scores. Specifically, > or =81% of patients with >10 calcified lesions also had a CAC score > or =100. With exception, for patients with CAC scores > or =1,000, annual mortality was dramatically higher at 3.0% to 4.5% for those with 1 to 5 calcified lesions as compared with 1.1% to 2.0% for those with 6 or more lesions (p < 0.0001).
CONCLUSIONS: We report that mortality rates increased proportionally with the number of calcified lesions. Although predictive information is contained in the number of calcified lesions, its added statistical value is minimal. With exception, patients with frequent lesions in the left main or those with a few large calcified lesions have a particularly high mortality risk.

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Year:  2008        PMID: 19356407     DOI: 10.1016/j.jcmg.2007.09.001

Source DB:  PubMed          Journal:  JACC Cardiovasc Imaging        ISSN: 1876-7591


  17 in total

1.  Sex differences in calcified plaque and long-term cardiovascular mortality: observations from the CAC Consortium.

Authors:  Leslee J Shaw; James K Min; Khurram Nasir; Joe X Xie; Daniel S Berman; Michael D Miedema; Seamus P Whelton; Zeina A Dardari; Alan Rozanski; John Rumberger; C Noel Bairey Merz; Mouaz H Al-Mallah; Matthew J Budoff; Michael J Blaha
Journal:  Eur Heart J       Date:  2018-11-01       Impact factor: 29.983

2.  Coronary Artery Calcium Distribution Is an Independent Predictor of Incident Major Coronary Heart Disease Events: Results From the Framingham Heart Study.

Authors:  Maros Ferencik; Karol M Pencina; Ting Liu; Khristine Ghemigian; Kristin Baltrusaitis; Joseph M Massaro; Ralph B D'Agostino; Christopher J O'Donnell; Udo Hoffmann
Journal:  Circ Cardiovasc Imaging       Date:  2017-10       Impact factor: 7.792

3.  Coronary calcium scoring of CT attenuation correction scans: Automatic, manual, or visual?

Authors:  Shifali Dumeer; Andrew J Einstein
Journal:  J Nucl Cardiol       Date:  2017-07-24       Impact factor: 5.952

4.  Improving the CAC Score by Addition of Regional Measures of Calcium Distribution: Multi-Ethnic Study of Atherosclerosis.

Authors:  Michael J Blaha; Matthew J Budoff; Rajesh Tota-Maharaj; Zeina A Dardari; Nathan D Wong; Richard A Kronmal; John Eng; Wendy S Post; Roger S Blumenthal; Khurram Nasir
Journal:  JACC Cardiovasc Imaging       Date:  2016-04-13

5.  The association between left main coronary artery calcium and cardiovascular-specific and total mortality: The Coronary Artery Calcium Consortium.

Authors:  Steven J Lahti; David I Feldman; Zeina Dardari; Mohammadhassan Mirbolouk; Olusola A Orimoloye; Albert D Osei; Garth Graham; John Rumberger; Leslee Shaw; Matthew J Budoff; Alan Rozanski; Michael D Miedema; Mouaz H Al-Mallah; Dan Berman; Khurram Nasir; Michael J Blaha
Journal:  Atherosclerosis       Date:  2019-03-24       Impact factor: 5.162

Review 6.  Using noncontrast cardiac CT and coronary artery calcification measurements for cardiovascular risk assessment and management in asymptomatic adults.

Authors:  John A Rumberger
Journal:  Vasc Health Risk Manag       Date:  2010-08-09

Review 7.  Risk stratification of non-contrast CT beyond the coronary calcium scan.

Authors:  Paul Madaj; Matthew J Budoff
Journal:  J Cardiovasc Comput Tomogr       Date:  2012-08-16

Review 8.  Coronary Computed Tomography Angiography: Enhancing Risk Stratification and Diagnosis of Cardiovascular Disease in Women.

Authors:  Sara Karnib; Kavitha M Chinnaiyan
Journal:  Curr Treat Options Cardiovasc Med       Date:  2019-10-04

9.  Calcium density of coronary artery plaque and risk of incident cardiovascular events.

Authors:  Michael H Criqui; Julie O Denenberg; Joachim H Ix; Robyn L McClelland; Christina L Wassel; Dena E Rifkin; Jeffrey J Carr; Matthew J Budoff; Matthew A Allison
Journal:  JAMA       Date:  2014-01-15       Impact factor: 56.272

10.  Machine learning integration of circulating and imaging biomarkers for explainable patient-specific prediction of cardiac events: A prospective study.

Authors:  Balaji K Tamarappoo; Andrew Lin; Frederic Commandeur; Priscilla A McElhinney; Sebastien Cadet; Markus Goeller; Aryabod Razipour; Xi Chen; Heidi Gransar; Stephanie Cantu; Robert Jh Miller; Stephan Achenbach; John Friedman; Sean Hayes; Louise Thomson; Nathan D Wong; Alan Rozanski; Piotr J Slomka; Daniel S Berman; Damini Dey
Journal:  Atherosclerosis       Date:  2020-11-13       Impact factor: 5.162

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