0
Back To Top Jump Location
Sign In  | Cart
Left Shadow
Right Shadow
Viewpoint and commentary |

Screening Asymptomatic Subjects for Subclinical Atherosclerosis: Can We, Does It Matter, and Should We? FREE

Prediman K. Shah, MD
[+] Author Information

Reprint requests and correspondence: Dr. Prediman K. Shah, Division of Cardiology and Atherosclerosis Research Center, Cedars-Sinai Heart Institute, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Suite 5531, Los Angeles, California 90048

American College of Cardiology Foundation

J Am Coll Cardiol. 2010;56(2):98-105. doi:10.1016/j.jacc.2009.09.081
Published online

  Unheralded vaso-occlusive cardiovascular events (myocardial infarction, sudden death, and stroke) are common manifestations of atherothrombotic vascular disease, and accurate identification of individuals at risk of such events is highly desirable. Risk factor assessment and management have been the cornerstones of preventive strategies but are constrained by less than desirable accuracy and less than optimal compliance, respectively. In selected populations, noninvasive imaging using carotid ultrasound and/or coronary calcium score can incrementally refine risk assessment and may allow for improved adherence and better matching of preventive interventions to the magnitude of risk. Further refinements in the future may also be possible with novel biomarkers and measures of plaque phenotype.

Figures in this Article

Recently, I heard the famous author Dr. Deepak Chopra state on television: “We are all on death row; the only uncertainty is the length of reprieve and the method of execution” (1). As physicians, we strive to prolong life by delaying death and improving quality of life; any references to preventing death are obviously illusory because the only thing certain after birth is death. Atherosclerotic cardiovascular disease leading to coronary heart disease and stroke continue to be the leading causes of morbidity and mortality in much of the world (2). Cardiovascular disease accounts for nearly one-third of all deaths worldwide (17 million in 1999 and projected to be 25 million in 2020). In the U.S., cardiovascular disease and stroke cause 1 death every 33 to 37 s and cumulatively cause more annual deaths than cancer, respiratory disease, accidents, and diabetes combined (2). About 16 million Americans have coronary heart disease, and each year nearly 800,000 have a first acute myocardial infarction, 430,000 have a recurrent myocardial infarction, and nearly 800,000 have a first or recurrent stroke (2). Cardiovascular disease was estimated to have cost the U.S. health care system more than $400 billion in 2008. During the past several decades, we have witnessed significant gains against cardiovascular disease, with a significant decline in age-adjusted mortality; however, with the aging baby boomers and continually rising trends in obesity and metabolic syndrome/diabetes, we are likely to see a reversal of these gains within the coming decades with disastrous human and fiscal implications. Therefore, prevention of atherosclerotic cardiovascular events (myocardial infarction, sudden death, and stroke) remains a major imperative for health care professionals.

The process of atherosclerosis, now considered to be a chronic immunoinflammatory disease of medium- and large-sized arteries, often begins in childhood and adolescence and frequently remains clinically dormant until plaque rupture or plaque erosion leads to abrupt thrombosis triggering acute clinical events (3). In 2008, the sudden cardiac death of Tim Russert, a journalistic icon, brought focus on the value and limitations of current strategies for preventing unheralded cardiovascular events in asymptomatic subjects. Approximately 40% to 60% of major occlusive atherosclerotic cardiovascular events (myocardial infarction, sudden death) occur as the first manifestation (unheralded events), accounting for >700,000 such events annually in the U.S. (2). The identification of subjects at risk of such events is obviously important, if identification leads to implementation of and compliance with effective preventive measures that reduce such risk. Stress testing to detect a flow-limiting coronary stenosis among asymptomatic subjects is unlikely to identify a significant majority of at-risk individuals because nearly 70% of acute coronary events result from coronary lesions that are not hemodynamically significant or flow limiting before the event (4).

The Framingham study provided critical and extremely valuable information regarding risk factors associated with the development of atherosclerotic cardiovascular disease (57). The INTERHEART study demonstrated that nearly 90% to 95% of population-attributable risk of myocardial infarction is related to 9 potentially modifiable risk factors (smoking, apoprotein B/apoprotein A1 ratio, hypertension, diabetes, abdominal obesity, psychosocial factors, daily consumption of fruits and vegetables, regular alcohol intake, and regular physical activity) that apply to men and women, old and young, and in all regions of the world (8). Thus, risk factor inventory–based prediction models> using the FRS have been recommended as the cornerstone for risk stratification of asymptomatic subjects and matching intensity of preventive interventions (specifically, lipid-lowering drug therapy and cholesterol targets) to the magnitude of the predicted risk, as suggested by the National Cholesterol Education Program (NCEP) and the Adult Treatment Panel III (ATP III) (910). Assessment of a few readily available clinical and laboratory variables such as age, sex, total cholesterol level, high-density lipoprotein cholesterol level, smoking status, and systolic blood pressure are used to calculate a 10-year risk of cardiovascular events. According to the NCEP/ATP III guidelines, subjects are considered to be at low risk if the estimated 10-year event rate is <10%, at high risk if the 10-year event rate is >20%, and at intermediate risk if the 10-year event rate is between 10% and 20%. Based on this scheme of risk stratification, NCEP guidelines suggest cholesterol goals for each of the subsets (910). In 2003, the American College of Cardiology Bethesda Conference on Atherosclerosis Imaging suggested that low risk should be defined as a 10-year risk of ≤5% and intermediate risk defined as a 10-year risk of 6% to 20%. Although FRS and NCEP/ATP III guidelines are relatively simple, inexpensive, and useful, they are not good enough by themselves (11). Limitations of the FRS and NCEP/ATP III guidelines include a substantial underestimation of lifetime risk, especially in women when only a 10-year risk model is used, misclassification of high-risk subjects as low or intermediate risk, and misclassification of very low-risk subjects into higher strata of risk (11). Karim et al. (12) showed that in an ethnically diverse group of 498 asymptomatic men and women, 312 (63%) had a low FRS, and of these, 214 (69%) had noninvasive imaging evidence of subclinical atherosclerosis in ≥1 of the 3 vascular beds (coronary, aortic, and carotid). In the same study, of the 68 subjects with subclinical atherosclerosis in all 3 vascular beds, 35% had a low-risk FRS, 41% had an intermediate-risk FRS, and only 23% had a high-risk FRS (12). Furthermore, Akosah et al. (13) pointed out the shortcomings of the FRS in a study of 222 patients (men younger than 55 and women younger than 65 years of age) presenting with their first acute myocardial infarction over a 3-year period who were asymptomatic before the acute event. Based on their FRS, 75% of these patients would have been considered ineligible for statin use under the current NCEP guidelines that match intensity of treatment to the baseline FRS (13). A minority of patients with coronary heart disease have none of the traditional risk factors, but, more importantly, in a large proportion of patients with ≥1 risk factors, coronary heart disease does not develop (14). Furthermore, there is considerable variation in the severity of atherosclerotic burden at any given level of risk factor exposure, presumably attributable to additional known or unknown genetic and environmental risk factors and risk modifiers. The FRS also places a substantial number of women in the low-risk category using 10-year risk estimates even though they have a high lifetime risk; thus, very few women will reach the threshold for initiation of lipid-lowering or aspirin therapy (11,15). The FRS does not incorporate family history and many of the components of metabolic syndrome, both of which are important risk factors for coronary heart disease. A substantial number (>60% to 70%) of unheralded cardiovascular events occur in “low” and “intermediate” risk categories (16). Nasir et al. (17) showed that 79% of young men and women with significant coronary atherosclerotic burden displayed by coronary calcification were not eligible for pharmacotherapy based on current NCEP-ATP III guidelines. Although groups of patients can be placed in risk categories, many patients at risk would not be recommended for lipid-modifying therapy, and many patients in whom an event will not develop would be needlessly targeted for aggressive medical management (11). Thus, FRS and NCEP/ATP III guidelines, although reasonable for populations, remain suboptimal for individual subjects. In 2007, Ridker et al. (18) introduced the Reynolds Risk Score (RRS) for risk assessment in women, which, in addition to traditional risk factors, also incorporated high-sensitivity C-reactive protein (hsCRP) and family history of premature coronary artery disease. The RRS reclassified 30% of women estimated to be in the intermediate-risk group by the traditional FRS into a higher or lower risk category with improved accuracy. Subsequently, the RRS was tested in 10,724 initially healthy nondiabetic men age 50 years or older from the Physicians Heath Study who were followed for 10.8 years (19). The RRS was shown to be superior to the traditional FRS in predicting risk. Despite improved risk assessment with RRS compared with the traditional FRS, neither scheme is sufficiently accurate for individual risk assessment and, unlike the FRS, the RRS has not yet been fully validated outside the Women's Health Study and Physicians Health Study participants.

Widespread application of preventive interventions (lifestyle, medications) without previous risk stratification (i.e., unconditional interventions for all) would be most appropriate if interventions were safe, inexpensive, easily implemented, highly effective, and associated with high compliance and low discontinuation rate. Unfortunately, in the real world, there is no such thing as universally effective, safe, and inexpensive prevention that carries a high degree of compliance. Lifestyle modification, although clearly important and effective, is difficult to implement on a wide scale because of social, cultural, and economic factors; drug therapy, specifically lipid-modifying therapy, although effective is limited by cost, need for lifelong use, intolerance because of nuisance type, and less commonly, more serious side effects, and overall resistance of many subjects to lifelong use, thereby limiting long-term compliance. Furthermore, drug therapy, specifically statin therapy, only addresses about 30% to 50% of the risk, leaving a considerable amount of residual risk.

Therefore, we must continue to search for better ways of identifying at-risk individuals so that aggressive preventive measures can be targeted to this population while sparing those who are at no or extremely low risk the cost and side effects of protracted and potentially lifelong drug therapy. Unfortunately, FRS only partially fulfills the need, and the currently available biomarkers, specifically hsCRP and lipoprotein-associated phospholipase A2, provide statistically significant but clinically modest incremental prognostic value and thus are not sufficiently precise to markedly improve the discriminant value of FRS. Because we are primarily talking about atherothrombotic cardiovascular disease, it is logical to ask the question: instead of simply measuring risk factors that at best have only a modest relationship to the presence and extent of atherosclerosis and cardiovascular events (high sensitivity but low specificity), can we actually detect the disease itself (i.e., atherosclerosis) before it causes catastrophic events? After all, detection of subclinical atherosclerosis identifies the biological substrate for all but the rarest forms of ischemic cardiovascular disease, and detecting subclinical atherosclerosis provides an integrated view of cumulative exposure to known and unknown risk factors and risk modifiers.

There are multiple noninvasive imaging techniques that can identify subclinical atherosclerosis in various vascular beds, including ultrasonography, coronary Ca2+ assessment by computed tomography (CT), noninvasive CT angiography, and magnetic resonance imaging. Although all of these methods have their relative advantages and drawbacks, imaging of coronary arteries to identify coronary calcium, a validated measure of atherosclerotic plaque, by computed tomography without contrast and use of B-mode ultrasonography to detect carotid intima-media thickness and carotid plaque have been most extensively studied and have the potential to be suitable screening tools for the detection of subclinical atherosclerosis.

Coronary calcium score (CCS)

Coronary calcium detection by CT has been shown to identify atherosclerotic plaque and to quantitatively assess coronary calcium; using the Agatston CCS, a surrogate for plaque burden, has been shown to provide powerful prognostic information in multiple studies involving both sexes and multiple ethnic groups (2035). Furthermore, CCS has been shown to provide prognostic information that is independent of and substantially incremental to that provided by the FRS and hsCRP (2035) (Table 1). The CCS can provide individual risk assessment and can reclassify the low and particularly intermediate Framingham risk cohort into lower- and higher-risk strata, as shown by Preis et al. (36) in a study involving 3,529 asymptomatic subjects from the Framingham Offspring Cohort (Table 2). Absence of coronary calcium (CCS = 0), while not excluding the presence of noncalcified plaque, virtually excludes significant coronary atherosclerosis, but more importantly is associated, in an asymptomatic population, with an extremely low risk of cardiovascular events in the ensuing 5 to 10 years ranging from annual event rates of 0% to 0.6% (32). The higher event rates reported in subjects with a 0 coronary calcium score by Greenland et al. (25) came from a study that used 6-mm thick slices, which is known to result in data loss compared with 3-mm slices. In an observational cohort of 35,765 asymptomatic subjects from published studies, 16,106 (45%) had zero coronary calcium; their annual event rate was only 0.027% (32). Blaha et al. (37) reported from an asymptomatic cohort of 44,052 subjects referred for coronary calcium scanning that 19,898 of these subjects (45% of the total cohort) had a CCS of 0 and a 10-year all-cause mortality rate of 1%; the mortality rate was 2-fold higher in subjects with minimal coronary calcification with a CCS of 1 to 10 and nearly 9-fold higher with a CCS >10 (37). In a systematic review of 13 published studies involving 64,873 asymptomatic subjects undergoing coronary calcium assessment and prognostic evaluation, 25,903 subjects (45% of cohort) with zero coronary calcium were identified whose cardiovascular event rate was 0.56% during a 4.25-year follow-up (38). In another registry study involving >25,000 subjects, Budoff et al. (23), in a follow-up extending up to 12 years, demonstrated a mortality rate of 0.4%. These observations highlight the fact that asymptomatic subjects with a CCS of 0 have an extremely low 5- to 10-year risk of cardiovascular and all-cause mortality and that such patients are unlikely to benefit from lipid-lowering therapy and any additional downstream tests for vaso-occlusive disease. Interestingly, in a cohort of 900 subjects with diabetes, a CCS of 0 was associated with a 5-year survival rate of 98.8%, and the survival of diabetic and nondiabetic patients with a CCS of 0 was remarkably similar (98.8% vs. 99.4%) (30). In another prospective study of patients with type 2 diabetes, a CCS <10 was associated with a zero event rate at 2 years of follow-up (39). Such very low-risk individuals constitute 40% to 50% of asymptomatic cohorts (23), are unlikely to benefit from aggressive preventive interventions, and may be recommended only to follow a healthy lifestyle and could well be spared the cost and side effects of aggressive lipid-lowering therapy. It is, however, important to point out that in a symptomatic population with clinical evidence of myocardial ischemia, absence of coronary calcium is not totally reassuring and may be associated with a higher event rate (annual event rate of 3.6%) (4042). This is consistent with recent observations from noninvasive contrast CT coronary angiography revealing that 6% to 11.6% of subjects may have only noncalcified plaque, which would be missed on coronary calcium scoring (4344). The major drawbacks of this CT-based technique include exposure to a small amount of radiation, which may be particularly undesirable in young subjects, especially women, and the very rare but definite instance in which a subject with only a noncalcified plaque is labeled as normal (4344); such an eventuality is quite rare in asymptomatic subjects. When a coronary event occurs in a subject with a CCS of 0, besides a noncalcified culprit plaque, one must also consider other unpredictable reasons for cardiovascular events that have nothing to do with atherosclerosis such as acute myocarditis simulating myocardial infarction, coronary embolism, coronary dissection presenting as an acute coronary syndrome, and stress-induced acute myocardial syndrome in women. None of these relatively uncommon nonatherosclerotic events could be predicted by any known tests.

Table Grahic Jump Location
Table 1Standard Risk Factor-Adjusted Coronary Event Rates in 4 Racial/Ethnic Groups of Asymptomatic Subjects Based on Coronary Calcium Score (Multi-Ethnic Study of Atherosclerosis)
Table Grahic Jump Location
Table 2Reclassification of Framingham Risk by Coronary Calcium Score in the Framingham Offspring and Third-Generation Cohort
B-mode ultrasonography

B-mode ultrasound imaging of carotid arteries provides yet another noninvasive, simple, and relatively inexpensive modality for the detection of subclinical atherosclerosis or pre-atherosclerosis as measured by a thickened intima-media (carotid artery intima-media thickness [CIMT]); this technique is safe and, unlike coronary calcium scanning, carries no risk of radiation exposure (4546). Several prospective studies, including the MESA (Multi-Ethnic Study of Atherosclerosis), of asymptomatic subjects demonstrated that increased CIMT over 75th percentile for a person's age, sex, and race (using nomograms from large population-based studies) is associated with future risk of myocardial infarction, stroke, and death from coronary heart disease that in most studies was independent of traditional risk factors (4546). Furthermore, several large studies have shown that the presence of carotid plaque on ultrasonography (defined as focal thickening of the carotid wall that is at least 50% greater than that of surrounding wall or as a focal region with CIMT >1.5 mm that is distinct from adjacent boundary and protrudes into the lumen) in asymptomatic subjects is associated with increased risk of cardiovascular events that is comparable to or better than that of increased CIMT (46). A recent meta-analysis by Lorenz et al. (47) reported significant relative risks of coronary heart disease of 1.26 for myocardial infarction and 1.32 for stroke for each 1-SD increment of CIMT.

Comparative prognostic value of coronary calcium scanning versus carotid ultrasonography

Although atherosclerosis is generally considered to be a diffuse or at least multifocal process and both carotid ultrasonography as well as coronary calcium scanning can detect subclinical atherosclerosis, CIMT and CCS are only modestly correlated in individual subjects, with some patients exhibiting a CCS of 0 in the context of abnormal CIMT or carotid plaque and some patients with an abnormal CCS exhibiting normal CIMT and no carotid plaque. Two recent prospective studies compared the incremental prognostic value of CIMT and coronary calcium scanning in initially asymptomatic subjects (4849). Newman et al. (48) found that in adults older than 70 years, CIMT and CCS similarly predicted cardiovascular disease and coronary heart disease, but CIMT was a better predictor of stroke. However, Folsom et al. (49) reported the results of MESA and showed that the CCS was a stronger predictor of cardiovascular events than CIMT. For cardiovascular events, the traditional risk factor-adjusted hazard increased 2.1-fold for each SD greater level of log-transformed CCS versus 1.3-fold for each SD greater maximum CIMT; comparable differences in relative risk were noted for coronary heart disease (49). That CIMT was modestly better than CCS in predicting stroke reflects a closer correlation between stroke and the relevant vascular territory. These results were further supported by receiver-operator characteristic analysis in which adding CCS to risk factor analysis significantly improved the area under the curve, whereas CIMT provided little additional value (49).

It is abundantly clear that subclinical atherosclerosis in 2 major consequential vascular beds (coronary and carotid) can be detected by noninvasive imaging and such assessment can clearly refine Framingham risk assessment in individual patients and do it better than biomarkers such as hsCRP and lipoprotein-associated phospholipase A2. Large-scale screening for subclinical atherosclerosis would be useful if it is simple, easily available, relatively safe and effective, adds value to prediction leading to better selection of subjects for aggressive treatment and sparing very low-risk subjects unlikely to benefit, and improves compliance and adherence to risk-modifying interventions. The CCS and CIMT fulfill many but not all of these requirements; in particular, the added value of imaging-guided management in improving patient outcomes has not yet been proven using randomized, controlled clinical trials, and therefore, in that sense, to a purist the “jury” is still out. However, we must acknowledge that FRS-based management using NCEP guidelines has also not been subjected to similar rigorous clinical trials and yet is accepted as a reasonable strategy for risk detection and modification based on purely observational data. Holding noninvasive imaging to a different standard even when its prognostic value has been unequivocally demonstrated to be significantly incremental to FRS, especially among low- and intermediate-risk categories, is indicative of a double standard (50). Despite the lack of randomized clinical trial evidence, the totality of observational evidence supports imaging-guided management because: 1) detecting disease the consequences of which we are trying to prevent is likely better than simply identifying risk factors that have only a modest specificity and a highly variable relationship to the development of disease; 2) imaging can reclassify intermediate- and low-risk FRS subjects into higher-risk strata for which more aggressive medical therapy and lower cholesterol targets would be recommended, thereby tangibly altering therapy while at the same time identifying a very low-risk cohort that could avoid aggressive drug therapy because of a lack of likely near-term benefit; and 3) imaging-based identification of at-risk subjects may improve compliance and adherence to risk-modifying interventions; this is particularly germane because long-term compliance with effective preventive therapy results in better outcomes, making adherence a surrogate for outcomes. A random-effects meta-analysis of 5 recent trials involving 52,319 patients showed that adherence to statin therapy averaged only 65% (51). In a study involving 505 subjects on statin therapy followed for 3 years, Kalia et al. (51) showed that the overall statin compliance was lowest (44%) among those with a CCS in the first quartile (0 to 30), whereas 91% of individuals with a baseline CCS in the fourth quartile adhered to statin therapy. Multivariable analysis, after adjusting for cardiovascular risk factors, age, and sex, showed that a higher baseline CCS score was strongly associated with adherence to statin therapy (51). Taylor et al. (52) recently reported on the association of the CCS detected on a screening examination with subsequent use of statins and aspirin in 1,640 asymptomatic men 40 to 50 years of age. In this prospective cohort followed for up to 6 years, the presence of coronary calcification was associated with a 3-fold greater likelihood of statin and aspirin use that was independent of NCEP risk variables and baseline medication use. These findings from a community-based nonreferred study population provide strong evidence of a significant and incremental impact of subclinical atherosclerosis detection, over and above FRS-NCEP risk assessment, on patient management, thus supporting the use of such an approach to refine cardiovascular risk assessment (52). It should be noted that an earlier small randomized trial from the same group reported no effect of coronary calcium detection on improvement in FRS; however, this study was limited by the small number of subjects with coronary calcification (only 66 of 450 subjects) and the overall very low-risk nature of the cohort that had a predicted a mean 10-year Framingham risk of only 5.8% (53). Favorable results were also reported by Orakzai et al. (54) from a study of 980 individuals who were followed for a mean of 3 ± 2 years after an initial coronary calcium scan in which multivariate analysis showed that a greater baseline CCS was strongly associated with initiation of aspirin therapy, dietary changes, and increased exercise. Wong et al. (55) showed that potentially important risk-reducing behaviors are reinforced by the knowledge of a positive coronary calcium scan independent of pre-existing coronary risk factors. In another small study, motivation for smoking cessation and cessation rates were higher in cigarette smokers shown to have carotid plaque compared with those without plaque (56).

Therefore, the recommendations of the SHAPE (Screening for Heart Attack Prevention and Education) Task Force, although based on a wealth of published observational data but not randomized, controlled trials, represent a reasonable blueprint for an imaging-augmented strategy for risk assessment and management (57). The SHAPE Task Force recommended noninvasive atherosclerosis imaging of all asymptomatic men (age 45 to 75 years) and women (age 55 to 75 years), except those at very low risk, to augment conventional cardiovascular risk assessment algorithms (57). Recent observations from 2,611 participants 30 to 65 years of age from the Dallas Heart Study provided evidence in favor of the SHAPE algorithm because SHAPE recommendations resulted in bidirectional reclassification of eligibility for lipid-lowering therapy in the participants (58). Application of imaging according to the SHAPE guidelines to the Dallas Heart Study Cohort reclassified 35% to 48% of the cohort into a higher-risk stratum, making them eligible for lipid-lowering therapy, and the number needed to reclassify 1 individual as newly eligible (or no longer eligible) for lipid-lowering therapy ranged from 4.1 to 7.8, depending on the coronary calcium score threshold used (58).

An important consideration in any recommendation for large-scale screening is the cost-effectiveness of such an approach. Diamond and Kaul (59) recently compared the costs and effectiveness of unconditional treatment of all risk factor–based treatment recommended by the NCEP and imaging-based treatment recommended by the SHAPE Task Force while making certain assumptions regarding costs of imaging and treatment with statins. The Diamond and Kaul (59) analysis supported cost-effectiveness of the SHAPE algorithm over the NCEP strategy, as also found by the SHAPE Task Force analysis (57), but suggested that unconditional treatment was most cost-effective. However, Diamond and Kaul (59) were quick to point out that if the SHAPE algorithm improves adherence to preventive therapy, its cost-effectiveness could surpass unconditional treatment. Similarly, Hecht (50) pointed out that reducing imaging costs to $100, instead of the $400 assumed by Diamond and Kaul (59), would make imaging-based treatment the most cost-effective option. Although potential risks associated with radiation exposure are of concern, the actual radiation exposure with coronary calcium scanning is small (0.6 to 1.0 mSv for electron-beam CT and 0.9 to 2.0 mSv for multidetector CT), although it can vary by 10-fold depending on many technical factors; these can be optimized and standardized to reduce the actual amount of radiation exposure. A recent analysis suggested that there could be a small increase in lifetime risk of cancer with the radiation exposure entailed in a coronary CT examination delivering a median radiation exposure of 2.3 mSv; however, the authors acknowledge that depending on the methodology used to predict risk, the estimated cancer risk could be higher or lower by a factor of 2 (60). Thus, there is considerable uncertainty about the true magnitude of cancer risk posed by coronary calcium scanning, especially when the very young are excluded.

We must also be clear that although detecting subclinical atherosclerosis is a logical first step after Framingham risk assessment to improve prognostic value, the answer to the question “plaque present or absent?” cannot be the final solution because the amount/extent of plaque (plaque burden) and the composition of plaque are likely to contribute additional important prognostic information and can further improve the sensitivity and specificity of noninvasive imaging for risk prediction. Adding some measures beyond arterial structure, specifically addressing arterial function (arterial compliance and vasodilator function) (61), plaque phenotype as an index of vulnerability to acute thrombotic events will likely further improve imaging-based risk prediction. Such approaches might include assessing plaque composition/configuration (inflammation, lipid core, thin cap, increased plaque neovascularity, outward remodeling, intraplaque hemorrhage), circulating biomarker reflective of biological processes relevant to plaque rupture (proteomics/metabolomics/circulating biomarkers), and genotypes that are predictive of risk. Such a comprehensive multimodality approach is currently under way in the High Risk Plaque Initiative, which is likely to provide valuable new information in the near future (62).

Although randomized, controlled prospective data to prove the efficacy of imaging-guided risk assessment in improving clinical outcomes are not available and such studies should be encouraged, the large amount of observational cohort and prospective longitudinal data support selective use of imaging-based risk assessment, especially in intermediate-risk groups identified by the FRS (Figure 1) (63). Therefore, the answer to the question (screening asymptomatic subjects for subclinical atherosclerosis: can we, does it matter, and should we?) is yes, we can, it matters, and we should in selected subjects because: 1) a large body of published evidence supports incremental value of noninvasive imaging-guided risk assessment over and above that of FRS, especially among intermediate- and possibly low-risk cohorts; 2) imaging-based bidirectional reclassification of patients into different strata of risk has tangible clinical value and implications for better matching of intensity of prevention to expected risk; and 3) despite earlier reports, new evidence is accumulating that imaging may improve adherence to and compliance with risk-modifying interventions. Although data support the superior relative prognostic value of coronary calcium scanning relative to carotid ultrasonography as a preferred screening strategy, a reasonable alternative strategy for imaging might involve first using carotid ultrasonography (since it is safe and radiation free), and if carotid plaque or markedly thickened CIMT is discovered, no further screening is needed; however, if carotid ultrasonography is normal, a coronary calcium scan might be reasonable because some patients with normal findings on carotid ultrasonography may actually have coronary atherosclerosis.

Grahic Jump Location
Figure 1

Huang Dee: Nai-Ching (2600 bc, First Medical Text)

Translation: superior doctors prevent the disease; mediocre doctors treat the disease before evident; inferior doctors treat the full-blown disease.

 Twitter. Deepak Chopra. http://www.twitter.com/DeepakChopra/status/6065844766 Accessed June 1, 2010
Gibbons  R.J., Jones  D.W., Gardner  T.J., Goldstein  L.B., Moller  J.H., Yancy  C.W.; The American Heart Association's 2008 statement of principles for healthcare reform. Circulation. 118 2008:2209-2218.
CrossRef | PubMed
Shah  P.K.; Molecular mechanisms of plaque instability. Curr Opin Lipidol. 18 2007:492-499.
CrossRef | PubMed
Falk  E., Shah  P.K., Fuster  V.; Coronary plaque disruption. Circulation. 92 1995:657-671.
CrossRef | PubMed
Kannel  W.B., D'Agostino  R.B., Sullivan  L., Wilson  P.W.; Concept and usefulness of cardiovascular risk profiles. Am Heart J. 148 2004:16-26.
CrossRef | PubMed
D'Agostino  R.B.  Sr., Grundy  S., Sullivan  L.M., Wilson  P.; Validation of the Framingham coronary heart disease prediction scores: results of a multiple ethnic groups investigation. JAMA. 286 2001:180-187.
CrossRef | PubMed
Ford  E.S., Giles  W.H., Mokdad  A.H.; The distribution of 10-year risk for coronary heart disease among US adults: findings from the National Health and Nutrition Examination Survey III. J Am Coll Cardiol. 43 2004:1791-1796.
CrossRef | PubMed
Yusuf  S., Hawken  S., Ounpuu  S.; Effect of potentially modifiable risk factors associated with myocardial infarction in 52 countries (the INTERHEART study): case-control study. Lancet. 364 2004:937-952.
CrossRef | PubMed
 Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) final report. Circulation. 106 2002:3143-3421.
PubMed
Grundy  S.M., Cleeman  J.I., Merz  C.N.; Implications of recent clinical trials for the National Cholesterol Education Program Adult Treatment Panel III guidelines. Circulation. 110 2004:227-239.
CrossRef | PubMed
Schlendorf  K.H., Nasir  K., Blumenthal  R.S.; Limitations of the Framingham risk score are now much clearer. Prev Med. 48 2009:115-116.
CrossRef | PubMed
Karim  R., Hodis  H.N., Detrano  R., Liu  C.R., Liu  C.H., Mack  W.J.; Relation of Framingham risk score to subclinical atherosclerosis evaluated across three arterial sites. Am J Cardiol. 102 2008:825-830.
CrossRef | PubMed
Akosah  K.O., Schaper  A., Cogbill  C., Schoenfeld  P.; Preventing myocardial infarction in the young adult in the first place: how do the National Cholesterol Education Panel III guidelines perform?. J Am Coll Cardiol. 41 2003:1475-1479.
CrossRef | PubMed
Shaw  L.J., Blumenthal  R.S., Raggi  P.; Screening asymptomatic low-risk individuals for coronary heart disease: issues and controversies. J Nucl Cardiol. 11 2004:382-387.
CrossRef | PubMed
Michos  E.D., Nasir  K., Braunstein  J.B.; Framingham risk equation underestimates subclinical atherosclerosis risk in asymptomatic women. Atherosclerosis. 184 2006:201-206.
CrossRef | PubMed
Lauer  M.S.; Primary prevention of atherosclerotic cardiovascular disease: the high public burden of low individual risk. JAMA. 297 2007:1376-1378.
CrossRef | PubMed
Nasir  K., Michos  E.D., Blumenthal  R.S., Raggi  P.; Detection of high-risk young adults and women by coronary calcium and National Cholesterol Education Program Panel III guidelines. J Am Coll Cardiol. 46 2005:1931-1936.
CrossRef | PubMed
Ridker  P.M., Buring  J.E., Rifai  N., Cook  N.R.; Development and validation of improved algorithms for the assessment of global cardiovascular risk in women: the Reynolds Risk Score. JAMA. 297 2007:611-619.
CrossRef | PubMed
Ridker  P.M., Paynter  N.P., Rifai  N., Gaziano  J.M., Cook  N.R.; C-reactive protein and parental history improve global cardiovascular risk prediction: the Reynolds Risk Score for men. Circulation. 118 2008:2243-2251.
CrossRef | PubMed
Arad  Y., Goodman  K.J., Roth  M., Newstein  D., Guerci  A.D.; Coronary calcification, coronary disease risk factors, C-reactive protein, and atherosclerotic cardiovascular disease events: the St. Francis Heart Study. J Am Coll Cardiol. 46 2005:158-165.
CrossRef | PubMed
Ardehali  R., Nasir  K., Kolandaivelu  A., Budoff  M.J., Blumenthal  R.S.; Screening patients for subclinical atherosclerosis with non-contrast cardiac CT. Atherosclerosis. 192 2007:235-242.
CrossRef | PubMed
Budoff  M.J., Gul  K.M.; Expert review on coronary calcium. Vasc Health Risk Manag. 4 2008:315-324.
PubMed
Budoff  M.J., Shaw  L.J., Liu  S.T.; Long-term prognosis associated with coronary calcification: observations from a registry of 25,253 patients. J Am Coll Cardiol. 49 2007:1860-1870.
CrossRef | PubMed
Detrano  R., Guerci  A.D., Carr  J.J.; Coronary calcium as a predictor of coronary events in four racial or ethnic groups. N Engl J Med. 358 2008:1336-1345.
CrossRef | PubMed
Greenland  P., LaBree  L., Azen  S.P., Doherty  T.M., Detrano  R.C.; Coronary artery calcium score combined with Framingham score for risk prediction in asymptomatic individuals. JAMA. 291 2004:210-215.
CrossRef | PubMed
Grundy  S.M.; Atherosclerosis imaging and the future of lipid management. Circulation. 110 2004:3509-3511.
CrossRef | PubMed
Lakoski  S.G., Greenland  P., Wong  N.D.; Coronary artery calcium scores and risk for cardiovascular events in women classified as “low risk” based on Framingham risk score: the Multi-Ethnic Study of Atherosclerosis (MESA). Arch Intern Med. 167 2007:2437-2442.
CrossRef | PubMed
Pohle  K., Ropers  D., Maffert  R.; Coronary calcifications in young patients with first, unheralded myocardial infarction: a risk factor matched analysis by electron beam tomography. Heart. 89 2003:625-628.
CrossRef | PubMed
Raggi  P., Gongora  M.C., Gopal  A., Callister  T.Q., Budoff  M., Shaw  L.J.; Coronary artery calcium to predict all-cause mortality in elderly men and women. J Am Coll Cardiol. 52 2008:17-23.
CrossRef | PubMed
Raggi  P., Shaw  L.J., Berman  D.S., Callister  T.Q.; Prognostic value of coronary artery calcium screening in subjects with and without diabetes. J Am Coll Cardiol. 43 2004:1663-1669.
CrossRef | PubMed
Rumberger  J.A.; Coronary artery calcium scanning using computed tomography: clinical recommendations for cardiac risk assessment and treatment. Semin Ultrasound CT MR. 29 2008:223-229.
CrossRef | PubMed
Shareghi  S., Ahmadi  N., Young  E., Gopal  A., Liu  S.T., Budoff  M.J.; Prognostic significance of zero coronary calcium scores on cardiac computed tomography. J Cardiovasc Comput Tomogr. 1 2007:155-159.
CrossRef | PubMed
Shaw  L.J., Raggi  P., Schisterman  E., Berman  D.S., Callister  T.Q.; Prognostic value of cardiac risk factors and coronary artery calcium screening for all-cause mortality. Radiology. 228 2003:826-833.
CrossRef | PubMed
Taylor  A.J., Bindeman  J., Feuerstein  I., Cao  F., Brazaitis  M., O'Malley  P.G.; Coronary calcium independently predicts incident premature coronary heart disease over measured cardiovascular risk factors: mean three-year outcomes in the Prospective Army Coronary Calcium (PACC) project. J Am Coll Cardiol. 46 2005:807-814.
CrossRef | PubMed
Wayhs  R., Zelinger  A., Raggi  P.; High coronary artery calcium scores pose an extremely elevated risk for hard events. J Am Coll Cardiol. 39 2002:225-230.
CrossRef | PubMed
Preis  S.R., Hwang  S.J., Fox  C.S.; Eligibility of individuals with subclinical coronary artery calcium and intermediate coronary heart disease risk for reclassification (from the Framingham Heart Study). Am J Cardiol. 103 2009:1710-1715.
CrossRef | PubMed
Blaha  M., Budoff  M.J., Shaw  L.J.; Absence of coronary artery calcification and all-cause mortality. J Am Coll Cardiol Img. 2 2009:692-700.
Sarwar  A., Shaw  L.J., Shapiro  M.D.; Diagnostic and prognostic value of absence of coronary artery calcification. J Am Coll Cardiol Img. 2 2009:675-688.
Anand  D.V., Lim  E., Lahiri  A., Bax  J.J.; The role of non-invasive imaging in the risk stratification of asymptomatic diabetic subjects. Eur Heart J. 27 2006:905-912.
CrossRef | PubMed
Schenker  M.P., Dorbala  S., Hong  E.C.; Interrelation of coronary calcification, myocardial ischemia, and outcomes in patients with intermediate likelihood of coronary artery disease: a combined positron emission tomography/computed tomography study. Circulation. 117 2008:1693-1700.
CrossRef | PubMed
Greenland  P., Bonow  R.O.; How low-risk is a coronary calcium score of zero?. The importance of conditional probability. Circulation. 117 2008:1627-1629.
CrossRef | PubMed
Henneman  M.M., Schuijf  J.D., Pundziute  G.; Noninvasive evaluation with multislice computed tomography in suspected acute coronary syndrome: plaque morphology on multislice computed tomography versus coronary calcium score. J Am Coll Cardiol. 52 2008:216-222.
CrossRef | PubMed
Cheng  V.Y., Lepor  N.E., Madyoon  H., Eshaghian  S., Naraghi  A.L., Shah  P.K.; Presence and severity of noncalcified coronary plaque on 64-slice computed tomographic coronary angiography in patients with zero and low coronary artery calcium. Am J Cardiol. 99 2007:1183-1186.
CrossRef | PubMed
Johnson  K.M., Dowe  D.A., Brink  J.A.; Traditional clinical risk assessment tools do not accurately predict coronary atherosclerotic plaque burden: a CT angiography study. AJR Am J Roentgenol. 192 2009:235-243.
CrossRef | PubMed
de Groot  E., van Leuven  S.I., Duivenvoorden  R.; Measurement of carotid intima-media thickness to assess progression and regression of atherosclerosis. Nat Clin Pract Cardiovasc Med. 5 2008:280-288.
CrossRef | PubMed
Stein  J.H., Korcarz  C.E., Hurst  R.T.; Use of carotid ultrasound to identify subclinical vascular disease and evaluate cardiovascular disease risk: a consensus statement from the American Society of Echocardiography Carotid Intima-Media Thickness Task Force. Endorsed by the Society for Vascular Medicine. J Am Soc Echocardiogr. 21 2008:93-111. quiz 189–90
CrossRef | PubMed
Lorenz  M.W., Markus  H.S., Bots  M.L., Rosvall  M., Sitzer  M.; Prediction of clinical cardiovascular events with carotid intima-media thickness: a systematic review and meta-analysis. Circulation. 115 2007:459-467.
CrossRef | PubMed
Newman  A.B., Naydeck  B.L., Sutton-Tyrrell  K.; Relationship between coronary artery calcification and other measures of subclinical cardiovascular disease in older adults. Arterioscler Thromb Vasc Biol. 22 2002:1674-1679.
CrossRef | PubMed
Folsom  A.R., Kronmal  R.A., Detrano  R.C.; 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. 168 2008:1333-1339.
CrossRef | PubMed
Hecht  H.S.; The deadly double standard (the saga of screening for subclinical atherosclerosis). Am J Cardiol. 101 2008:1805-1807.
CrossRef | PubMed
Kalia  N.K., Miller  L.G., Nasir  K., Blumenthal  R.S., Agrawal  N., Budoff  M.J.; Visualizing coronary calcium is associated with improvements in adherence to statin therapy. Atherosclerosis. 185 2006:394-399.
CrossRef | PubMed
Taylor  A.J., Bindeman  J., Feuerstein  I.; Community-based provision of statin and aspirin after the detection of coronary artery calcium within a community-based screening cohort. J Am Coll Cardiol. 51 2008:1337-1341.
CrossRef | PubMed
O'Malley  P.G., Feuerstein  I.M., Taylor  A.J.; Impact of electron beam tomography, with or without case management, on motivation, behavioral change, and cardiovascular risk profile: a randomized controlled trial. JAMA. 289 2003:2215-2223.
CrossRef | PubMed
Orakzai  R.H., Nasir  K., Orakzai  S.H.; Effect of patient visualization of coronary calcium by electron beam computed tomography on changes in beneficial lifestyle behaviors. Am J Cardiol. 101 2008:999-1002.
CrossRef | PubMed
Wong  N.D., Detrano  R.C., Diamond  G.; Does coronary artery screening by EBCT motivate beneficial lifestyle behaviours?. Am J Cardiol. 78 1996:1220-1223.
CrossRef | PubMed
Rodondi  N., Auer  R., Devine  P.J., O'Malley  P.G., Hayoz  D., Cornuz  J.; The impact of carotid plaque screening on motivation for smoking cessation. Nicotine Tob Res. 10 2008:541-546.
CrossRef | PubMed
Naghavi  M., Falk  E., Hecht  H.S., Shah  P.K.; The first SHAPE (Screening for Heart Attack Prevention and Education) guideline. Crit Pathw Cardiol. 5 2006:187-190.
CrossRef | PubMed
See  R., Lindsey  J.B., Patel  M.J.; Application of the Screening for Heart Attack Prevention and Education Task Force recommendations to an urban population: observations from the Dallas Heart Study. Arch Intern Med. 168 2008:1055-1062.
CrossRef | PubMed
Diamond  G.A., Kaul  S.; The things to come of SHAPE: cost and effectiveness of cardiovascular prevention. Am J Cardiol. 99 2007:1013-1015.
CrossRef | PubMed
Kim  K.P., Einstein  A.J., Berrington de González  A.; Coronary artery calcification screening: estimated radiation dose and cancer risk. Arch Intern Med. 169 2009:1188-1194.
CrossRef | PubMed
Cohn  J.N., Duprez  D.A.; Time to foster a rational approach to preventing cardiovascular morbid events. J Am Coll Cardiol. 52 2008:327-329.
CrossRef | PubMed
 The HRP Initiative. http://www.hrpinitiative.com Accessed May 12, 2010
Polonsky  T., McClelland  R., Jorgensen  N.; Coronary artery calcium score and risk classification of coronary heart disease prediction. JAMA. 303 2010:1610-1616.
CrossRef | PubMed

Figures

Grahic Jump Location
Figure 1

Huang Dee: Nai-Ching (2600 bc, First Medical Text)

Translation: superior doctors prevent the disease; mediocre doctors treat the disease before evident; inferior doctors treat the full-blown disease.

Tables

Table Grahic Jump Location
Table 1Standard Risk Factor-Adjusted Coronary Event Rates in 4 Racial/Ethnic Groups of Asymptomatic Subjects Based on Coronary Calcium Score (Multi-Ethnic Study of Atherosclerosis)
Table Grahic Jump Location
Table 2Reclassification of Framingham Risk by Coronary Calcium Score in the Framingham Offspring and Third-Generation Cohort

Interactive Graphics

Video

References

 Twitter. Deepak Chopra. http://www.twitter.com/DeepakChopra/status/6065844766 Accessed June 1, 2010
Gibbons  R.J., Jones  D.W., Gardner  T.J., Goldstein  L.B., Moller  J.H., Yancy  C.W.; The American Heart Association's 2008 statement of principles for healthcare reform. Circulation. 118 2008:2209-2218.
CrossRef | PubMed
Shah  P.K.; Molecular mechanisms of plaque instability. Curr Opin Lipidol. 18 2007:492-499.
CrossRef | PubMed
Falk  E., Shah  P.K., Fuster  V.; Coronary plaque disruption. Circulation. 92 1995:657-671.
CrossRef | PubMed
Kannel  W.B., D'Agostino  R.B., Sullivan  L., Wilson  P.W.; Concept and usefulness of cardiovascular risk profiles. Am Heart J. 148 2004:16-26.
CrossRef | PubMed
D'Agostino  R.B.  Sr., Grundy  S., Sullivan  L.M., Wilson  P.; Validation of the Framingham coronary heart disease prediction scores: results of a multiple ethnic groups investigation. JAMA. 286 2001:180-187.
CrossRef | PubMed
Ford  E.S., Giles  W.H., Mokdad  A.H.; The distribution of 10-year risk for coronary heart disease among US adults: findings from the National Health and Nutrition Examination Survey III. J Am Coll Cardiol. 43 2004:1791-1796.
CrossRef | PubMed
Yusuf  S., Hawken  S., Ounpuu  S.; Effect of potentially modifiable risk factors associated with myocardial infarction in 52 countries (the INTERHEART study): case-control study. Lancet. 364 2004:937-952.
CrossRef | PubMed
 Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) final report. Circulation. 106 2002:3143-3421.
PubMed
Grundy  S.M., Cleeman  J.I., Merz  C.N.; Implications of recent clinical trials for the National Cholesterol Education Program Adult Treatment Panel III guidelines. Circulation. 110 2004:227-239.
CrossRef | PubMed
Schlendorf  K.H., Nasir  K., Blumenthal  R.S.; Limitations of the Framingham risk score are now much clearer. Prev Med. 48 2009:115-116.
CrossRef | PubMed
Karim  R., Hodis  H.N., Detrano  R., Liu  C.R., Liu  C.H., Mack  W.J.; Relation of Framingham risk score to subclinical atherosclerosis evaluated across three arterial sites. Am J Cardiol. 102 2008:825-830.
CrossRef | PubMed
Akosah  K.O., Schaper  A., Cogbill  C., Schoenfeld  P.; Preventing myocardial infarction in the young adult in the first place: how do the National Cholesterol Education Panel III guidelines perform?. J Am Coll Cardiol. 41 2003:1475-1479.
CrossRef | PubMed
Shaw  L.J., Blumenthal  R.S., Raggi  P.; Screening asymptomatic low-risk individuals for coronary heart disease: issues and controversies. J Nucl Cardiol. 11 2004:382-387.
CrossRef | PubMed
Michos  E.D., Nasir  K., Braunstein  J.B.; Framingham risk equation underestimates subclinical atherosclerosis risk in asymptomatic women. Atherosclerosis. 184 2006:201-206.
CrossRef | PubMed
Lauer  M.S.; Primary prevention of atherosclerotic cardiovascular disease: the high public burden of low individual risk. JAMA. 297 2007:1376-1378.
CrossRef | PubMed
Nasir  K., Michos  E.D., Blumenthal  R.S., Raggi  P.; Detection of high-risk young adults and women by coronary calcium and National Cholesterol Education Program Panel III guidelines. J Am Coll Cardiol. 46 2005:1931-1936.
CrossRef | PubMed
Ridker  P.M., Buring  J.E., Rifai  N., Cook  N.R.; Development and validation of improved algorithms for the assessment of global cardiovascular risk in women: the Reynolds Risk Score. JAMA. 297 2007:611-619.
CrossRef | PubMed
Ridker  P.M., Paynter  N.P., Rifai  N., Gaziano  J.M., Cook  N.R.; C-reactive protein and parental history improve global cardiovascular risk prediction: the Reynolds Risk Score for men. Circulation. 118 2008:2243-2251.
CrossRef | PubMed
Arad  Y., Goodman  K.J., Roth  M., Newstein  D., Guerci  A.D.; Coronary calcification, coronary disease risk factors, C-reactive protein, and atherosclerotic cardiovascular disease events: the St. Francis Heart Study. J Am Coll Cardiol. 46 2005:158-165.
CrossRef | PubMed
Ardehali  R., Nasir  K., Kolandaivelu  A., Budoff  M.J., Blumenthal  R.S.; Screening patients for subclinical atherosclerosis with non-contrast cardiac CT. Atherosclerosis. 192 2007:235-242.
CrossRef | PubMed
Budoff  M.J., Gul  K.M.; Expert review on coronary calcium. Vasc Health Risk Manag. 4 2008:315-324.
PubMed
Budoff  M.J., Shaw  L.J., Liu  S.T.; Long-term prognosis associated with coronary calcification: observations from a registry of 25,253 patients. J Am Coll Cardiol. 49 2007:1860-1870.
CrossRef | PubMed
Detrano  R., Guerci  A.D., Carr  J.J.; Coronary calcium as a predictor of coronary events in four racial or ethnic groups. N Engl J Med. 358 2008:1336-1345.
CrossRef | PubMed
Greenland  P., LaBree  L., Azen  S.P., Doherty  T.M., Detrano  R.C.; Coronary artery calcium score combined with Framingham score for risk prediction in asymptomatic individuals. JAMA. 291 2004:210-215.
CrossRef | PubMed
Grundy  S.M.; Atherosclerosis imaging and the future of lipid management. Circulation. 110 2004:3509-3511.
CrossRef | PubMed
Lakoski  S.G., Greenland  P., Wong  N.D.; Coronary artery calcium scores and risk for cardiovascular events in women classified as “low risk” based on Framingham risk score: the Multi-Ethnic Study of Atherosclerosis (MESA). Arch Intern Med. 167 2007:2437-2442.
CrossRef | PubMed
Pohle  K., Ropers  D., Maffert  R.; Coronary calcifications in young patients with first, unheralded myocardial infarction: a risk factor matched analysis by electron beam tomography. Heart. 89 2003:625-628.
CrossRef | PubMed
Raggi  P., Gongora  M.C., Gopal  A., Callister  T.Q., Budoff  M., Shaw  L.J.; Coronary artery calcium to predict all-cause mortality in elderly men and women. J Am Coll Cardiol. 52 2008:17-23.
CrossRef | PubMed
Raggi  P., Shaw  L.J., Berman  D.S., Callister  T.Q.; Prognostic value of coronary artery calcium screening in subjects with and without diabetes. J Am Coll Cardiol. 43 2004:1663-1669.
CrossRef | PubMed
Rumberger  J.A.; Coronary artery calcium scanning using computed tomography: clinical recommendations for cardiac risk assessment and treatment. Semin Ultrasound CT MR. 29 2008:223-229.
CrossRef | PubMed
Shareghi  S., Ahmadi  N., Young  E., Gopal  A., Liu  S.T., Budoff  M.J.; Prognostic significance of zero coronary calcium scores on cardiac computed tomography. J Cardiovasc Comput Tomogr. 1 2007:155-159.
CrossRef | PubMed
Shaw  L.J., Raggi  P., Schisterman  E., Berman  D.S., Callister  T.Q.; Prognostic value of cardiac risk factors and coronary artery calcium screening for all-cause mortality. Radiology. 228 2003:826-833.
CrossRef | PubMed
Taylor  A.J., Bindeman  J., Feuerstein  I., Cao  F., Brazaitis  M., O'Malley  P.G.; Coronary calcium independently predicts incident premature coronary heart disease over measured cardiovascular risk factors: mean three-year outcomes in the Prospective Army Coronary Calcium (PACC) project. J Am Coll Cardiol. 46 2005:807-814.
CrossRef | PubMed
Wayhs  R., Zelinger  A., Raggi  P.; High coronary artery calcium scores pose an extremely elevated risk for hard events. J Am Coll Cardiol. 39 2002:225-230.
CrossRef | PubMed
Preis  S.R., Hwang  S.J., Fox  C.S.; Eligibility of individuals with subclinical coronary artery calcium and intermediate coronary heart disease risk for reclassification (from the Framingham Heart Study). Am J Cardiol. 103 2009:1710-1715.
CrossRef | PubMed
Blaha  M., Budoff  M.J., Shaw  L.J.; Absence of coronary artery calcification and all-cause mortality. J Am Coll Cardiol Img. 2 2009:692-700.
Sarwar  A., Shaw  L.J., Shapiro  M.D.; Diagnostic and prognostic value of absence of coronary artery calcification. J Am Coll Cardiol Img. 2 2009:675-688.
Anand  D.V., Lim  E., Lahiri  A., Bax  J.J.; The role of non-invasive imaging in the risk stratification of asymptomatic diabetic subjects. Eur Heart J. 27 2006:905-912.
CrossRef | PubMed
Schenker  M.P., Dorbala  S., Hong  E.C.; Interrelation of coronary calcification, myocardial ischemia, and outcomes in patients with intermediate likelihood of coronary artery disease: a combined positron emission tomography/computed tomography study. Circulation. 117 2008:1693-1700.
CrossRef | PubMed
Greenland  P., Bonow  R.O.; How low-risk is a coronary calcium score of zero?. The importance of conditional probability. Circulation. 117 2008:1627-1629.
CrossRef | PubMed
Henneman  M.M., Schuijf  J.D., Pundziute  G.; Noninvasive evaluation with multislice computed tomography in suspected acute coronary syndrome: plaque morphology on multislice computed tomography versus coronary calcium score. J Am Coll Cardiol. 52 2008:216-222.
CrossRef | PubMed
Cheng  V.Y., Lepor  N.E., Madyoon  H., Eshaghian  S., Naraghi  A.L., Shah  P.K.; Presence and severity of noncalcified coronary plaque on 64-slice computed tomographic coronary angiography in patients with zero and low coronary artery calcium. Am J Cardiol. 99 2007:1183-1186.
CrossRef | PubMed
Johnson  K.M., Dowe  D.A., Brink  J.A.; Traditional clinical risk assessment tools do not accurately predict coronary atherosclerotic plaque burden: a CT angiography study. AJR Am J Roentgenol. 192 2009:235-243.
CrossRef | PubMed
de Groot  E., van Leuven  S.I., Duivenvoorden  R.; Measurement of carotid intima-media thickness to assess progression and regression of atherosclerosis. Nat Clin Pract Cardiovasc Med. 5 2008:280-288.
CrossRef | PubMed
Stein  J.H., Korcarz  C.E., Hurst  R.T.; Use of carotid ultrasound to identify subclinical vascular disease and evaluate cardiovascular disease risk: a consensus statement from the American Society of Echocardiography Carotid Intima-Media Thickness Task Force. Endorsed by the Society for Vascular Medicine. J Am Soc Echocardiogr. 21 2008:93-111. quiz 189–90
CrossRef | PubMed
Lorenz  M.W., Markus  H.S., Bots  M.L., Rosvall  M., Sitzer  M.; Prediction of clinical cardiovascular events with carotid intima-media thickness: a systematic review and meta-analysis. Circulation. 115 2007:459-467.
CrossRef | PubMed
Newman  A.B., Naydeck  B.L., Sutton-Tyrrell  K.; Relationship between coronary artery calcification and other measures of subclinical cardiovascular disease in older adults. Arterioscler Thromb Vasc Biol. 22 2002:1674-1679.
CrossRef | PubMed
Folsom  A.R., Kronmal  R.A., Detrano  R.C.; 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. 168 2008:1333-1339.
CrossRef | PubMed
Hecht  H.S.; The deadly double standard (the saga of screening for subclinical atherosclerosis). Am J Cardiol. 101 2008:1805-1807.
CrossRef | PubMed
Kalia  N.K., Miller  L.G., Nasir  K., Blumenthal  R.S., Agrawal  N., Budoff  M.J.; Visualizing coronary calcium is associated with improvements in adherence to statin therapy. Atherosclerosis. 185 2006:394-399.
CrossRef | PubMed
Taylor  A.J., Bindeman  J., Feuerstein  I.; Community-based provision of statin and aspirin after the detection of coronary artery calcium within a community-based screening cohort. J Am Coll Cardiol. 51 2008:1337-1341.
CrossRef | PubMed
O'Malley  P.G., Feuerstein  I.M., Taylor  A.J.; Impact of electron beam tomography, with or without case management, on motivation, behavioral change, and cardiovascular risk profile: a randomized controlled trial. JAMA. 289 2003:2215-2223.
CrossRef | PubMed
Orakzai  R.H., Nasir  K., Orakzai  S.H.; Effect of patient visualization of coronary calcium by electron beam computed tomography on changes in beneficial lifestyle behaviors. Am J Cardiol. 101 2008:999-1002.
CrossRef | PubMed
Wong  N.D., Detrano  R.C., Diamond  G.; Does coronary artery screening by EBCT motivate beneficial lifestyle behaviours?. Am J Cardiol. 78 1996:1220-1223.
CrossRef | PubMed
Rodondi  N., Auer  R., Devine  P.J., O'Malley  P.G., Hayoz  D., Cornuz  J.; The impact of carotid plaque screening on motivation for smoking cessation. Nicotine Tob Res. 10 2008:541-546.
CrossRef | PubMed
Naghavi  M., Falk  E., Hecht  H.S., Shah  P.K.; The first SHAPE (Screening for Heart Attack Prevention and Education) guideline. Crit Pathw Cardiol. 5 2006:187-190.
CrossRef | PubMed
See  R., Lindsey  J.B., Patel  M.J.; Application of the Screening for Heart Attack Prevention and Education Task Force recommendations to an urban population: observations from the Dallas Heart Study. Arch Intern Med. 168 2008:1055-1062.
CrossRef | PubMed
Diamond  G.A., Kaul  S.; The things to come of SHAPE: cost and effectiveness of cardiovascular prevention. Am J Cardiol. 99 2007:1013-1015.
CrossRef | PubMed
Kim  K.P., Einstein  A.J., Berrington de González  A.; Coronary artery calcification screening: estimated radiation dose and cancer risk. Arch Intern Med. 169 2009:1188-1194.
CrossRef | PubMed
Cohn  J.N., Duprez  D.A.; Time to foster a rational approach to preventing cardiovascular morbid events. J Am Coll Cardiol. 52 2008:327-329.
CrossRef | PubMed
 The HRP Initiative. http://www.hrpinitiative.com Accessed May 12, 2010
Polonsky  T., McClelland  R., Jorgensen  N.; Coronary artery calcium score and risk classification of coronary heart disease prediction. JAMA. 303 2010:1610-1616.
CrossRef | PubMed

Correspondence

Latest JACC CME

Continuing Medical Education through JACC is a convenient way to fulfill your CME requirements while learning important information about the latest advances in cardiovascular medicine.

April 2013- JACC CME Activity
Repeat Revascularization and Outcome

March 2013- JACC CME Activity
Extreme Lipoprotein(a) Levels and Improved Cardiovascular Risk Prediction

Feb 2013- JACC CME Activity
Results from the BARI 2D Trial

Jan 2013- JACC CME Activity
Prognosis Among Healthy Individuals Discharged With a Primary Diagnosis of Syncope

Dec 2012- JACC CME Activity
Incidence of Heart Failure or Cardiomyopathy After Adjuvant Trastuzumab Therapy for Breast Cancer

Nov 2012- JACC CME Activity
A Collaborative Analysis of Individual Patient Data From 10 Randomized Trials

Oct 2012- JACC CME Activity
Radiofrequency Ablation of Premature Ventricular Ectopy Improves the Efficacy of Cardiac Resynchronization Therapy in Nonresponders

Sept 2012- JACC CME Activity
Exercise and Pharmacological Treatment of Depressive Symptoms in Patients With Coronary Heart Disease

Aug 2012- JACC CME Activity
Reduction in Life-Threatening Ventricular Tachyarrhythmias in Statin-Treated Patients With Nonischemic Cardiomyopathy Enrolled in the MADIT-CRT (Multicenter Automatic Defibrillator Implantation Trial with Cardiac Resynchronization Therapy)

July 2012- JACC CME Activity
Relationship of Beta-Blocker Dose With Outcomes in Ambulatory Heart Failure Patients With Systolic Dysfunction

For previous CME quizzes, please follow this link to CardioSource Lifelong Learning and MOC.

 

NOTE:
Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s “Cited By” API will populate this tab (http://www.crossref.org/citedby.html).
Submit a Comment
Submit a Comment

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Articles Related By Topic
Related Topics
PubMed Articles