(Circulation. 2005;111:1313-1320.)
© 2005 American Heart Association, Inc.
Vascular Medicine |
From the Division of Epidemiology and Clinical Applications (D.E.B.), National Heart, Lung, and Blood Institute, Bethesda, Md; Harbor-UCLA Research and Education Institute (R.D.), Torrance, Calif; Department of Biostatistics (D.P.), University of Washington, Seattle; St. Francis Hospital (A.G.), Roslyn, NY; Department of Preventive Medicine (K.L.), Northwestern University, Chicago, Ill; Division of Epidemiology (E.S.), School of Public Health, University of Minnesota, Minneapolis; Division of Cardiology (P.O.), Johns Hopkins University School of Medicine, Baltimore, Md; Department of Public Health Sciences (S.J.), Wake Forest University, Winston-Salem, NC; and Department of Medicine (M.F.S.), UCLA School of Medicine, Los Angeles, Calif.
Reprint requests to Collaborative Health Studies Coordinating Center, Box 354922, University of Washington, Bldg 29, Suite 310, 6200 NE 74th St, Seattle, WA 98115-8160. Correspondence to Diane Bild, MD, MPH, National Heart, Lung, and Blood Institute, 6701 Rockledge Dr, MSC 7438, Bethesda, MD 20892-7438. E-mail bildd{at}nhlbi.nih.gov
Received September 30, 2004; revision received January 11, 2005; accepted January 13, 2005.
| Abstract |
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Methods and Results Using computed tomography, we measured coronary calcification in 6814 white, black, Hispanic, and Chinese men and women aged 45 to 84 years with no clinical cardiovascular disease who participated in the Multi-Ethnic Study of Atherosclerosis (MESA). The prevalence of coronary calcification (Agatston score >0) in these 4 ethnic groups was 70.4%, 52.1%, 56.5%, and 59.2%, respectively, in men (P<0.001) and 44.6%, 36.5%, 34.9%, and 41.9%, respectively, (P<0.001) in women. After adjustment for age, education, lipids, body mass index, smoking, diabetes, hypertension, treatment for hypercholesterolemia, gender, and scanning center, compared with whites, the relative risks for having coronary calcification were 0.78 (95% CI 0.74 to 0.82) in blacks, 0.85 (95% CI 0.79 to 0.91) in Hispanics, and 0.92 (95% CI 0.85 to 0.99) in Chinese. After similar adjustments, the amount of coronary calcification among those with an Agatston score >0 was greatest among whites, followed by Chinese (77% that of whites; 95% CI 62% to 96%), Hispanics (74%; 95% CI 61% to 90%), and blacks (69%; 95% CI 59% to 80%).
Conclusions We observed ethnic differences in the presence and quantity of coronary calcification that were not explained by coronary risk factors. Identification of the mechanism underlying these differences would further our understanding of the pathophysiology of coronary calcification and its clinical significance. Data on the predictive value of coronary calcium in different ethnic groups are needed.
Key Words: epidemiology atherosclerosis coronary disease calcium
| Introduction |
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Differences in coronary calcification across ethnic groups that are not explained by differences in coronary risk factors would have implications for understanding the pathogenesis and clinical significance of coronary calcification in different groups. We analyzed data from the Multi-Ethnic Study of Atherosclerosis (MESA) to determine the relative prevalence and quantity of coronary calcification across ethnic groups and to determine whether ethnic differences persist after controlling for concurrent traditional coronary heart disease risk factors.
| Methods |
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Standardized questionnaires were used to obtain information about level of education, annual household income, smoking history, and medication usage for high blood pressure, high cholesterol, or diabetes. Smoking was defined as current, former, or never.
Height and weight were measured with participants wearing light clothing and no shoes. Body mass index (BMI) was calculated as weight in kilograms divided by height in meters squared. Resting blood pressure was measured 3 times with participants in the seated position with a Dinamap model Pro 100 automated oscillometric sphygmomanometer (Critikon). The average of the last 2 measurements was used in analysis. Hypertension was defined as systolic pressure
140 mm Hg, diastolic pressure
90 mm Hg, or current use of antihypertensive medication.
Total and HDL cholesterol, triglycerides, and glucose levels were measured from blood samples obtained after a 12-hour fast. LDL cholesterol was calculated with the Friedewald equation.14 Diabetes was defined as fasting glucose >6.99 mmol/L (126 mg/dL) or use of hypoglycemic medication. Impaired fasting glucose was defined as fasting glucose 6.11 to 6.94 mmol/L (110 to 125 mg/dL).15
Computed tomography scanning of the chest was performed either with an ECG-triggered (at 80% of the RR interval) electron-beam computed tomography scanner (Chicago, Los Angeles, and New York field centers; Imatron C-150, Imatron)16 or with prospectively ECG-triggered scan acquisition at 50% of the RR interval with a multidetector computed tomography system17 that acquired 4 simultaneous 2.5-mm slices for each cardiac cycle in a sequential or axial scan mode (Baltimore, Forsyth County, and St. Paul field centers; Lightspeed, General Electric or Siemens, Volume Zoom). Each participant was scanned twice. Scans were read centrally at the Harbor-University of California, Los Angeles Research and Education Institute to identify and quantify coronary calcification. Calcium scores among scanning centers and between participants were adjusted with a standard calcium phantom scanned simultaneously with the participant. The average Agatston score was used in all analyses.18 The presence of calcification was defined as an average Agatston score >0 (or >0 on either scan). Agreement with regard to presence of coronary calcification was high (
-statistic 0.90 to 0.93 between and within readers), and the intraclass correlation coefficient for the Agatston score between readers was 0.99.19
Data Analysis
Distributions of risk factors were compared across ethnic groups, and distributions of coronary calcium scores were displayed graphically with a smoothed probability density function20 and compared across ethnic groups within gender. We tested for genderrisk factor interactions in the prediction of the presence and amount of calcium to determine whether men and women would require separate analyses. Among the 14 possible genderrisk factor interactions tested, there was 1 significant but weak interaction between gender and BMI in the prediction of the presence of coronary calcium that did not remain significant in the full models. There were no interactions between risk factors and gender in predicting the amount of coronary calcium. Therefore, men and women were combined in the multivariable analyses.
The relationship between each risk factor and the presence of coronary calcification for each ethnic group, controlling for all other risk factors in the model, was assessed with exponential models that were fit by nonlinear least squares, including all variables that were associated with coronary calcification in bivariate models.21 For each ethnic group, the relationship between each risk factor and the presence of coronary calcification was determined with nonlinear least squares regression with the model y=exp(BTX), where y indicates the presence or absence of coronary calcification. Relative risk estimates, which represent relative cumulative incidence, are presented from these models rather than ORs because the high prevalence of calcification in the cohort results in ORs overestimating the relative risk. The area under the receiver-operator curve was estimated with this model. Nonlinear least squares regression was then used to determine relationships between nonwhite ethnicity and the presence of coronary calcification, relative to whites, after adjustment for coronary risk factors that were associated with coronary calcification with a probability value <0.05.
Among those with detectable calcium, the relationship between each risk factor and the amount of coronary calcification as measured by the (ln)Agatston score was assessed for each ethnic group with multivariable linear regression and control for all other risk factors in the model. The relationship between ethnicity and amount of coronary calcium relative to whites was then determined with a linear regression model, with adjustment for risk factors. This relationship was expressed as percent difference in coronary calcification for a given increment in the risk factor. In separate models for each risk factor, interactions with ethnicity in the prediction of presence and amount of calcification were sought. S-PLUS 6.0, SPSS 12.0, and Stat 8 were used to analyze the data.
| Results |
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30 kg/m2). Blacks had the highest systolic and diastolic blood pressures and the lowest total cholesterol and triglyceride levels. Hispanics had the highest LDL-cholesterol levels and lowest HDL-cholesterol levels. Whites reported the highest rates of taking cholesterol-lowering medicine (17.5%), with the other groups ranging from 14.1% to 16.5%. Blacks reported the highest rate of current smoking (18.0%), and Chinese reported the lowest (5.6%). The prevalence of diabetes was lower among whites (7.8%) than among black and Hispanics (
21%) and Chinese (15.7%). Blacks had the highest rate of hypertension (55.4%); 35% to 37% of the other groups had hypertension. Most of the participants with hypertension were taking antihypertensive medications.
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White men had the highest prevalence of coronary calcification (70.4%), followed by Chinese (59.2%), Hispanic (55.6%), and black men (52.1%; Table 2). White men also had the highest calcium scores at the 50th, 75th, and 90th percentiles. Figure 1 shows the distribution of calcium scores among men with detectable calcification. Most notable is the shift to the right among white men relative to the other ethnic groups, which indicates generally higher scores in whites. Similarly, white women had the highest prevalence (44.6%), followed by Chinese (41.9%), black (36.5%), and Hispanic women (34.9%). White women had the highest scores at the 75th and 90th percentiles. As in men, the distribution of scores was shifted to the right for white women compared with the other ethnic groups (Figure 2).
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Age, male gender, and hypertension were significant predictors of the presence of coronary calcification in all 4 ethnic groups (Table 3). A 10-year age increase and male gender were each associated with a 30% to 49% increase in the prevalence of coronary calcification, whereas hypertension was associated with a 10% to 23% increase. LDL cholesterol, current smoking, former smoking, and use of cholesterol-lowering medication were significantly associated with coronary calcification in all but Chinese. BMI was significantly associated with coronary calcification in whites only, but the magnitude of association was similar in all groups, with a 4% to 8% increase in prevalence for a 5-unit increase in BMI. In Hispanics only, having less than a high school education versus more education was associated with a lower prevalence of coronary calcification. Areas under the receive-operator curve for the entire model ranged from 0.77 in blacks to 0.82 in whites. There were significant differences by ethnicity in the relationships between the presence of coronary calcification and BMI (P<0.001), gender (P=0.003), HDL cholesterol (P=0.005), hypertension (P=0.03), and education (P=0.001); however, except for education, relationships were in the same direction for each group and not very different in magnitude. After adjustment for these risk factors, the relative risk of coronary calcification compared with whites was 0.78 in blacks (95% CI 0.74 to 0.82), 0.85 in Hispanics (95% CI 0.80 to 0.91), and 0.92 in Chinese (95% CI 0.85 to 0.995; Figure 3).
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Age and diabetes were significantly associated with the coronary calcium score among those with detectable calcification in all ethnic groups (Table 4). The association of a 10-year age difference (older) with a difference in coronary calcium score ranged from 48% more calcification in Chinese to 114% more calcification in whites, whereas the effect of diabetes ranged from 37% more calcification in whites to 137% more calcification in Chinese. Male gender was also associated with greater calcification in all groups, although it was not statistically significant in Chinese (37% to 142% more calcification). Hypertension was associated with a significantly greater coronary calcium score, which ranged from 34% greater in blacks to 62% greater in Hispanics, but the association was weaker and not significant in Chinese. Other significant associations with amount of coronary calcium were current smoking in whites and Hispanics, former smoking in whites, and less than high school education in Hispanics (negative association). These models explained 13% to 21% of the variability in amount of coronary calcification. After adjustment for these risk factors, coronary calcium scores relative to whites were lower in blacks (69% that of whites, 95% CI 59% to 80%), Hispanics (74% that of whites, 95% CI 61% to 90%), and Chinese (77% that of whites, 95% CI 62% to 96%; Figure 4). There were significant differences by ethnicity in the relationships between the amount of calcification and age (P=0.003) and education (P=0.001); age had a significantly stronger positive effect on the amount of calcification in whites than in Chinese; and low level of education had a protective effect in Hispanics, compared with an inverse effect in blacks (data not shown).
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| Discussion |
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The observation that blacks have less calcification of coronary atherosclerosis than whites was first described in a large autopsy series in 1965.22 That study, which included 777 autopsies in Louisiana, found the relative prevalence of calcified lesions in the 3 major coronary arteries for decedents who did not die of atherosclerotic heart disease to be 20% to 75% higher in white than in black decedents. More recently, using fluoroscopy7 or rapid CT, several studies have found a lower prevalence of coronary calcification in blacks than in whites.810 One study found a lower prevalence in Hispanics and a similar prevalence in Asians compared with whites,9 and another found a lower prevalence in Asians and whites compared with Asian Indians.23 The present findings are generally consistent with and extend these studies by quantifying these effects in population-based samples and adding information about the amount and not just presence of calcification.
Recently, the Dallas Heart Study (DHS), another population-based study, found no differences in the prevalence of coronary artery calcification between black and white men and women.11 There were several differences in the populations studied and methods used in the DHS and MESA that might explain these disparate findings, which were more pronounced in women than men: DHS did not exclude participants with CVD as MESA did, DHS participants were younger, there were more exclusions in the DHS due to weight (8% of blacks and 3% of whites in DHS versus 1% of blacks and 5% of whites in MESA), and different reading methods were used. The DHS defined coronary calcium prevalence as an Agatston score >10, whereas MESA used an Agatston score >0; however, the ethnic differences in MESA remained after we used a cutpoint of >10 Agatston units (data not shown). It is possible that the greater obesity of black women in the DHS compared with MESA (BMI 33 versus 31 kg/m2) may have produced more artifact that was read as calcification; however, it is not possible to determine whether these methodological differences explain the different findings in the 2 studies or whether there is a difference in the underlying populations studied.
Faced with significant ethnic differences in coronary calcification that are not explained by traditional coronary risk factors, several important questions remain: Do these differences in coronary calcification represent differences in the amount of underlying coronary atherosclerosis? What factors contribute to differences in calcification, particularly if they are not due to differences in atherosclerosis? Finally, what implications might these differences have for the clinical interpretation of coronary calcium scores?
The most convincing evidence that coronary calcification is a quantitative indicator of the presence and extent of coronary atherosclerotic plaques comes from pathology studies that have consistently found strong correlations between histological plaque and calcium area.2,3 Unfortunately, ethnicity is not accounted for in the analyses of the calcium-atherosclerotic relationship in these studies. Burke et al24 have recently suggested that plaque is less often calcified in blacks than whites. Further studies should be conducted in substantial numbers of nonwhite ethnic groups to determine the relationship between histological calcification and plaque.
Ethnic differences have also been found in carotid artery wall thickness, another subclinical CVD marker. Nondiabetic black participants had greater common carotid artery intima-media thicknesses than their white counterparts in the Insulin Resistance Atherosclerosis Study, whereas Hispanic participants had thinner common carotid artery intima-media thicknesses.25 Internal carotid artery intima-media thickness did not differ by ethnicity. Data from the Atherosclerosis Risk in Communities Study also suggest that common carotid artery intima-media thickness is greater in blacks than in whites, but internal carotid artery intima-media thickness was not greater in blacks than in whites.26 These data raise questions about whether the internal carotid artery and common carotid artery similarly reflect atherosclerosis. Another possibility is that these disparate findings support the concept that differences in coronary calcification reflect differences in the propensity for plaque to calcify in different ethnic groups.
Coronary risk factors were related to coronary calcium as expected in each ethnic group. The only unexpected relationship was that education appeared to be positively associated with coronary calcification in Hispanics. This could reflect the fact that recent Hispanic immigrants, who tend to have lower education levels than the US population, may also have lower cardiovascular risk than their US-born counterparts,27 but this finding deserves more exploration.
We found that although traditional coronary risk factors were associated with coronary calcification, these variables left much variability in the presence or amount of coronary calcification to be explained. If the differences in calcification do not purely reflect differences in atherosclerosis, what other factors might explain them? First, calcified plaque represents only a small proportion of total plaque burden.2 Second, it has been suggested that vitamin D metabolism explains some but not all of the difference between whites and blacks,28 and there is accumulating evidence that other aspects of calcium metabolism or bone regulatory factors, inflammatory markers, hemostasis, fibrinolysis, or genetic factors are related to calcification.29 A recent report identified a relationship between a common polymorphism for the soluble epoxide hydrolase gene and coronary calcification in blacks but not whites.30 Another possible clue that ethnic differences in tissue calcification may play a role is the difference in bone mineral density between whites and blacks. Bone density tends to be greater and osteoporosis less common in blacks than in whites,31 whereas bone density is inversely related to vascular calcification.32 The present study serves as a basis for exploration of other factors, including environmental, behavioral, biochemical, and genetic factors, to determine causes of coronary calcification and to explain the observed group differences in coronary calcification.
Coronary calcification measured with CT scanning has been identified as a promising screening tool for subclinical coronary artery disease. The prevalence of coronary calcification appears to follow a pattern similar to that of coronary heart disease, with a strongly increasing prevalence with age and much higher prevalence in men than in women.18 It has been shown to be related to traditional coronary risk factors, as expected,3335 and it predicts future coronary heart disease events.46 Nevertheless, Doherty et al36 have reported that coronary calcification does not have the same prognostic value for blacks as for whites. If confirmed, the accumulating data that blacks have less coronary calcification suggest that ethnicity, or the underlying physiological explanation for differences in propensity to calcify atherosclerotic plaque, must be taken into account in the clinical interpretation of calcium scores. For example, an Agatston score of 400, advocated by some as a trigger for further workup,37 may be too high for some nonwhite ethnic groups.
The present study has several limitations that could affect its results. The participation rate was
30% of those contacted, which is low enough that bias could have been introduced, although similar recruitment methods were used in all ethnic groups, and the participation among those screened (for whom ethnicity was collected) was 70% of whites, 61% of blacks, 59% of Hispanics, and 48% of Chinese. Although MESA is broadly representative of the groups studied, compared with 2000 US Census data, whites and blacks in MESA were older, better educated, and had higher incomes. Hispanics in MESA were also older and slightly better educated but had similar incomes. The Chinese in MESA were older and had lower incomes. The Chinese men had slightly more education in MESA, whereas the Chinese women had less education. Although an in-depth consideration of how representative the MESA population is of ethnic groups in the United States is beyond the scope of this paper, it is not clear that the differences mentioned could explain the results found. Another consideration is that the exclusion of persons with symptomatic CVD could have operated differentially across ethnic groups owing to differences in access to care and diagnosis of disease.
In summary, we observed a substantially lower prevalence of coronary calcification in blacks and Hispanics compared with whites and a slightly lower prevalence in Chinese compared with whites. We also found a similar pattern in the amount of calcification among those with detectable calcification. These differences persisted after adjustment for coronary risk factors. Explanations for these differences should be sought, which may inform clinical interpretation and our understanding of the pathophysiology of coronary calcification. Follow-up data from MESA will address whether the relationship between coronary calcification and CVD outcomes differs by ethnicity.
| Acknowledgments |
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R. Erbel, J. A.C. Delaney, N. Lehmann, R. L. McClelland, S. Mohlenkamp, R. A. Kronmal, A. Schmermund, S. Moebus, N. Dragano, A. Stang, et al. Signs of subclinical coronary atherosclerosis in relation to risk factor distribution in the Multi-Ethnic Study of Atherosclerosis (MESA) and the Heinz Nixdorf Recall Study (HNR) Eur. Heart J., November 2, 2008; 29(22): 2782 - 2791. [Abstract] [Full Text] [PDF] |
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M. A. Allison, J. E. Manson, R. D. Langer, A. Aragaki, S. Smoller, C. E. Lewis, A. Thomas, W. Lawson, B. B. Cochrane, J. Hsia, et al. Association Between Different Measures of Blood Pressure and Coronary Artery Calcium in Postmenopausal Women Hypertension, November 1, 2008; 52(5): 833 - 840. [Abstract] [Full Text] [PDF] |
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J. Ding, S. B Kritchevsky, F.-C. Hsu, T. B Harris, G. L Burke, R. C Detrano, M. Szklo, M. H Criqui, M. Allison, P. Ouyang, et al. Association between non-subcutaneous adiposity and calcified coronary plaque: a substudy of the Multi-Ethnic Study of Atherosclerosis Am. J. Clinical Nutrition, September 1, 2008; 88(3): 645 - 650. [Abstract] [Full Text] [PDF] |
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S.-s. Jiang, L. Lv, C. P. Juergens, S.-l. Chen, D.-j. Xu, and Z.-y. Huang Racial Differences in Coronary Artery Lesions: A Comparison of Coronary Artery Lesions Between Mainland Chinese and Australian Patients Angiology, August 1, 2008; 59(4): 442 - 447. [Abstract] [PDF] |
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A. R. Folsom, R. A. Kronmal, R. C. Detrano, D. H. O'Leary, D. E. Bild, D. A. Bluemke, M. J. Budoff, K. Liu, S. Shea, M. Szklo, et al. Coronary Artery Calcification Compared With Carotid Intima-Media Thickness in the Prediction of Cardiovascular Disease Incidence: The Multi-Ethnic Study of Atherosclerosis (MESA) Arch Intern Med, June 23, 2008; 168(12): 1333 - 1339. [Abstract] [Full Text] [PDF] |
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E. R. Brown, R. A. Kronmal, D. A. Bluemke, A. D. Guerci, J. J. Carr, J. Goldin, and R. Detrano Coronary Calcium Coverage Score: Determination, Correlates, and Predictive Accuracy in the Multi-Ethnic Study of Atherosclerosis Radiology, June 1, 2008; 247(3): 669 - 675. [Abstract] [Full Text] [PDF] |
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C. Sun, G. Liew, J. J. Wang, P. Mitchell, S. M. Saw, T. Aung, E. S. Tai, and T. Y. Wong Retinal Vascular Caliber, Blood Pressure, and Cardiovascular Risk Factors in an Asian Population: The Singapore Malay Eye Study Invest. Ophthalmol. Vis. Sci., May 1, 2008; 49(5): 1784 - 1790. [Abstract] [Full Text] [PDF] |
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P. D. Reaven, N. Emanuele, T. Moritz, R. Klein, M. Davis, K. Glander, W. Duckworth, C. Abraira, and for the Veterans Affairs Diabetes Trial (VADT) Proliferative Diabetic Retinopathy in Type 2 Diabetes Is Related to Coronary Artery Calcium in the Veterans Affairs Diabetes Trial (VADT) Diabetes Care, May 1, 2008; 31(5): 952 - 957. [Abstract] [Full Text] [PDF] |
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M. A. Allison, M. J. Budoff, N. D. Wong, R. S. Blumenthal, P. J. Schreiner, and M. H. Criqui Prevalence of and Risk Factors for Subclinical Cardiovascular Disease in Selected US Hispanic Ethnic Groups: The Multi-Ethnic Study of Atherosclerosis Am. J. Epidemiol., April 15, 2008; 167(8): 962 - 969. [Abstract] [Full Text] [PDF] |
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T. A Manolio Biorepositories--at the bleeding edge Int. J. Epidemiol., April 1, 2008; 37(2): 231 - 233. [Full Text] [PDF] |
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R. Detrano, A. D. Guerci, J. J. Carr, D. E. Bild, G. Burke, A. R. Folsom, K. Liu, S. Shea, M. Szklo, D. A. Bluemke, et al. Coronary Calcium as a Predictor of Coronary Events in Four Racial or Ethnic Groups N. Engl. J. Med., March 27, 2008; 358(13): 1336 - 1345. [Abstract] [Full Text] [PDF] |
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C. M. Kramer All High-Risk Patients Should Not Be Screened With Computed Tomographic Angiography Circulation, March 11, 2008; 117(10): 1333 - 1339. [Full Text] [PDF] |
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S. R. Preis and C. J. O'Donnell Coronary Heart Disease Risk Assessment by Traditional Risk Factors and Newer Subclinical Disease Imaging: Is a "One-Size-Fits-All" Approach the Best Option? Arch Intern Med, December 10, 2007; 167(22): 2399 - 2401. [Full Text] [PDF] |
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R. Erbel, S. Mohlenkamp, G. Kerkhoff, T. Budde, and A. Schmermund Non-invasive screening for coronary artery disease: calcium scoring Heart, December 1, 2007; 93(12): 1620 - 1629. [Full Text] [PDF] |
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R. D. Abbott, H. Ueshima, B. L. Rodriguez, T. Kadowaki, K. H. Masaki, B. J. Willcox, A. Sekikawa, L. H. Kuller, D. Edmundowicz, C. Shin, et al. Coronary Artery Calcification in Japanese Men in Japan and Hawaii Am. J. Epidemiol., December 1, 2007; 166(11): 1280 - 1287. [Abstract] [Full Text] [PDF] |
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G. M. Novaro, R. Katz, R. J. Aviles, J. S. Gottdiener, M. Cushman, B. M. Psaty, C. M. Otto, and B. P. Griffin Clinical Factors, But Not C-Reactive Protein, Predict Progression of Calcific Aortic-Valve Disease: The Cardiovascular Health Study J. Am. Coll. Cardiol., November 13, 2007; 50(20): 1992 - 1998. [Abstract] [Full Text] [PDF] |
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A. M. Davis, L. M. Vinci, T. M. Okwuosa, A. R. Chase, and E. S. Huang Cardiovascular Health Disparities: A Systematic Review of Health Care Interventions Med Care Res Rev, October 1, 2007; 64(5_suppl): 29S - 100S. [Abstract] [PDF] |
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K. Nasir, L. J. Shaw, S. T. Liu, S. R. Weinstein, T. R. Mosler, P. R. Flores, F. R. Flores, P. Raggi, D. S. Berman, R. S. Blumenthal, et al. Ethnic Differences in the Prognostic Value of Coronary Artery Calcification for All-Cause Mortality J. Am. Coll. Cardiol., September 4, 2007; 50(10): 953 - 960. [Abstract] [Full Text] [PDF] |
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M. Slattery, M. Schumacher, A. Lanier, S Edwards, R Edwards, M. Murtaugh, J Sandidge, G. Day, D Kaufman, S Kanekar, et al. A Prospective Cohort of American Indian and Alaska Native People: Study Design, Methods, and Implementation Am. J. Epidemiol., September 1, 2007; 166(5): 606 - 615. [Abstract] [Full Text] [PDF] |
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L. E. Wagenknecht, C. D. Langefeld, B. I. Freedman, J. J. Carr, and D. W. Bowden A Comparison of Risk Factors for Calcified Atherosclerotic Plaque in the Coronary, Carotid, and Abdominal Aortic Arteries: The Diabetes Heart Study Am. J. Epidemiol., August 1, 2007; 166(3): 340 - 347. [Abstract] [Full Text] [PDF] |
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C. M. Loria, K. Liu, C. E. Lewis, S. B. Hulley, S. Sidney, P. J. Schreiner, O. D. Williams, D. E. Bild, and R. Detrano Early Adult Risk Factor Levels and Subsequent Coronary Artery Calcification: The CARDIA Study J. Am. Coll. Cardiol., May 22, 2007; 49(20): 2013 - 2020. [Abstract] [Full Text] [PDF] |
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A. Hakeem, S. Bhatti, and C. B. Chapman Use of Computed Tomography to Assess Coronary Artery Stenosis JAMA, December 6, 2006; 296(21): 2556 - 2556. [Full Text] [PDF] |
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S. S. Gidding, C. A. McMahan, H. C. McGill, L. A. Colangelo, P. J. Schreiner, O. D. Williams, and K. Liu Prediction of Coronary Artery Calcium in Young Adults Using the Pathobiological Determinants of Atherosclerosis in Youth (PDAY) Risk Score: The CARDIA Study Arch Intern Med, November 27, 2006; 166(21): 2341 - 2347. [Abstract] [Full Text] [PDF] |
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S. R. Heckbert, W. Post, G. D.N. Pearson, D. K. Arnett, A. S. Gomes, M. Jerosch-Herold, W. G. Hundley, J. A. Lima, and D. A. Bluemke Traditional Cardiovascular Risk Factors in Relation to Left Ventricular Mass, Volume, and Systolic Function by Cardiac Magnetic Resonance Imaging: The Multiethnic Study of Atherosclerosis J. Am. Coll. Cardiol., November 8, 2006; (2006) j.jacc.2006.03.072v1. [Abstract] [Full Text] [PDF] |
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M. A. Allison, M. H. Criqui, R. L. McClelland, J. M. Scott, M. M. McDermott, K. Liu, A. R. Folsom, A. G. Bertoni, A. R. Sharrett, S. Homma, et al. The Effect of Novel Cardiovascular Risk Factors on the Ethnic-Specific Odds for Peripheral Arterial Disease in the Multi-Ethnic Study of Atherosclerosis (MESA) J. Am. Coll. Cardiol., September 19, 2006; 48(6): 1190 - 1197. [Abstract] [Full Text] [PDF] |
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E. A. Hoffman, B. A. Simon, and G. McLennan State of the Art. A Structural and Functional Assessment of the Lung via Multidetector-Row Computed Tomography: Phenotyping Chronic Obstructive Pulmonary Disease Proceedings of the ATS, August 1, 2006; 3(6): 519 - 532. [Abstract] [Full Text] [PDF] |
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B. I. Freedman, D. W. Bowden, M. M. Sale, C. D. Langefeld, and S. S. Rich Genetic Susceptibility Contributes to Renal and Cardiovascular Complications of Type 2 Diabetes Mellitus Hypertension, July 1, 2006; 48(1): 8 - 13. [Full Text] [PDF] |
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A. V. Diez Roux, N. Ranjit, L. Powell, S. Jackson, T. T. Lewis, S. Shea, and C. Wu Psychosocial factors and coronary calcium in adults without clinical cardiovascular disease. Ann Intern Med, June 6, 2006; 144(11): 822 - 831. [Abstract] [Full Text] [PDF] |
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T. Y. Wong, F. M. A. Islam, R. Klein, B. E. K. Klein, M. F. Cotch, C. Castro, A. R. Sharrett, and E. Shahar Retinal Vascular Caliber, Cardiovascular Risk Factors, and Inflammation: The Multi-Ethnic Study of Atherosclerosis (MESA). Invest. Ophthalmol. Vis. Sci., June 1, 2006; 47(6): 2341 - 2350. [Abstract] [Full Text] [PDF] |
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T. T. Lewis, S. A. Everson-Rose, L. H. Powell, K. A. Matthews, C. Brown, K. Karavolos, K. Sutton-Tyrrell, E. Jacobs, and D. Wesley Chronic Exposure to Everyday Discrimination and Coronary Artery Calcification in African-American Women: The SWAN Heart Study Psychosom Med, May 1, 2006; 68(3): 362 - 368. [Abstract] [Full Text] [PDF] |
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L. L. Yan, K. Liu, M. L. Daviglus, L. A. Colangelo, C. I. Kiefe, S. Sidney, K. A. Matthews, and P. Greenland Education, 15-year risk factor progression, and coronary artery calcium in young adulthood and early middle age: the Coronary Artery Risk Development in Young Adults study. JAMA, April 19, 2006; 295(15): 1793 - 1800. [Abstract] [Full Text] [PDF] |
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L. J. Shaw, P. Raggi, T. Q. Callister, and D. S. Berman Prognostic value of coronary artery calcium screening in asymptomatic smokers and non-smokers Eur. Heart J., April 2, 2006; 27(8): 968 - 975. [Abstract] [Full Text] [PDF] |
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R. L. McClelland, H. Chung, R. Detrano, W. Post, and R. A. Kronmal Distribution of Coronary Artery Calcium by Race, Gender, and Age: Results from the Multi-Ethnic Study of Atherosclerosis (MESA) Circulation, January 3, 2006; 113(1): 30 - 37. [Abstract] [Full Text] [PDF] |
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T. Edvardsen, R. Detrano, B. D. Rosen, J. J. Carr, K. Liu, S. Lai, S. Shea, L. Pan, D. A. Bluemke, and J. A.C. Lima Coronary Artery Atherosclerosis Is Related to Reduced Regional Left Ventricular Function in Individuals Without History of Clinical Cardiovascular Disease: The Multiethnic Study of Atherosclerosis Arterioscler Thromb Vasc Biol, January 1, 2006; 26(1): 206 - 211. [Abstract] [Full Text] [PDF] |
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L. H. Kuller, B. I. Freedman, L. E. Wagenknecht, D. W. Bowden, K. G. Keppel, J. N. Pearcy, J. S. Weissman, B. E. Akpunonu, A. B. Mutgi, S. A. Khuder, et al. Trends in racial disparities in care. N. Engl. J. Med., November 10, 2005; 353(19): 2081 - 2085. [Full Text] [PDF] |
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M. R. Carnethon, A. G. Bertoni, S. Shea, P. Greenland, H. Ni, D. R. Jacobs Jr, M. Saad, and K. Liu Racial/Ethnic Differences in Subclinical Atherosclerosis Among Adults With Diabetes: The Multiethnic Study of Atherosclerosis Diabetes Care, November 1, 2005; 28(11): 2768 - 2770. [Full Text] [PDF] |
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A. V. Diez Roux, R. Detrano, S. Jackson, D. R. Jacobs Jr, P. J. Schreiner, S. Shea, and M. Szklo Acculturation and Socioeconomic Position as Predictors of Coronary Calcification in a Multiethnic Sample Circulation, September 13, 2005; 112(11): 1557 - 1565. [Abstract] [Full Text] [PDF] |
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C. W. Yancy, E. J. Benjamin, R. P. Fabunmi, and R. O. Bonow Discovering the Full Spectrum of Cardiovascular Disease: Minority Health Summit 2003: Executive Summary Circulation, March 15, 2005; 111(10): 1339 - 1349. [Full Text] [PDF] |
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