Abstract
Background
More than 90 % of exercise-related cardiac arrests occur in men, predominantly those aged 45 years and older with coronary artery disease (CAD) as the main cause. The current sports medical evaluation (SME) of middle-aged recreational athletes consists of a medical history, physical examination, and resting and exercise electrocardiography. Coronary CT (CCT) provides a minimally invasive low radiation dose opportunity to image the coronary arteries. We present the study protocol of the Measuring Athlete’s Risk of Cardiovascular events (MARC) study. MARC aims to assess the additional value of CCT to a routine SME in asymptomatic sportsmen ≥45 years without known CAD.
Design
MARC is a prospective study of 300 asymptomatic sportsmen ≥45 years who will undergo CCT if the SME does not reveal any cardiac abnormalities. The prevalence and determinants of CAD (coronary artery calcium score ≥100 Agatston Units (AU) or ≥50 % luminal stenosis) will be reported. The number needed to screen to prevent the occurrence of one cardiovascular event in the next 5 years, conditional to adequate treatment, will be estimated.
Discussion
We aim to determine the prevalence and severity of CAD and the additional value of CCT in asymptomatic middle-aged (≥45 years) sportsmen whose routine SME revealed no cardiac abnormalities.
Electronic supplementary material
The online version of this article (doi:10.1007/s12471-014-0630-0) contains supplementary material, which is available to authorized users.
Keywords: Athletes, Coronary artery disease, Risk, Coronary artery calcium score, Multidetector computed tomography
Background
Screening athletes to prevent cardiovascular events
Sudden cardiac death is often the first manifestation of coronary artery disease (CAD), and is responsible for ≈50 % of the mortality of cardiovascular disease in developed countries [1]. Regular physical exercise is recommended to reduce cardiovascular morbidity and mortality and is gaining increased popularity, especially in middle-aged and older persons [2]. Yet, exercise transiently increases the risk of cardiovascular events, particularly in those with unknown cardiac disease. More than 90 % of acute exercise-related cardiac events occur in men, predominantly those aged 45 years and over [3]. While sudden cardiac death in younger athletes (35 years or younger) is mainly caused by cardiomyopathies, electrical heart disease and coronary anomalies, in older athletes it is predominantly caused by CAD (80 %) [4].
A recent paper on cardiac arrest during long distance running implicated a causal role for demand ischaemia in athletes with (unknown) CAD [2]. Absence of coronary plaque rupture in these persons was surprising because prior data [5] and expert consensus documents [4] have suggested that exercise-induced acute coronary events result from atherosclerotic plaque disruption and coronary thrombosis. It follows that early identification of CAD should be an important goal in the pre-participation evaluation of middle-aged persons.
Despite the rare occurrence of cardiac events in young athletes (<2 per 100,000 athletes per year) the study group of Sport Cardiology of the European Society of Cardiology (ESC) recommends mandatory pre-participation screening (based on medical history, physical examination and a resting electrocardiogram (ECG)) of athletes aged 35 years or younger [6]. Directing screening efforts at the rapidly growing group of older athletes who have a 10-fold higher risk of exercise-related cardiac arrests [3]—mainly attributable to CAD—should be considered as well [7].
The 2011 ESC position paper on cardiovascular evaluation of middle-aged/senior individuals engaged in leisure time sports activities advocates the use of maximal exercise testing. This is now frequently performed in the course of a sports medical examination (SME), in addition to medical history, physical examination, and the resting ECG [8].
Cardiovascular event risk: exercise testing and cardiac imaging to detect coronary artery disease
Traditionally, risk scores such as the ESC Systematic COronary Risk Evaluation (SCORE) are used to estimate cardiovascular event risk in asymptomatic persons, aiming to divide them into low, intermediate and high risk categories. The SCORE risk categories correspond to 0–4 %, 5–9 % and 10 % or higher 10-year cardiovascular mortality risk [9]. Cardiovascular risk scores have not specifically been developed for persons who are physically active. As exercise favourably influences cardiovascular risk factors, e.g. by reducing weight and blood pressure and improving the lipid profile, traditional cardiovascular risk scores may underestimate CV risk in persons who exercise regularly [10]. It has also been suggested that regular, intense physical exercise (e.g. multiple marathon running) in itself may be harmful to the heart by causing myocardial fibrosis [11] and by contributing to coronary artery plaque formation with cardiovascular events occurring at an alarmingly high rate (21 % 10-year event rate) in a group of 108 recreational German marathon runners aged 50 years or older [10]. Cardiovascular events exclusively occurred in those with a coronary calcium score (CACS) higher than 100 Agatston units (AU).
Adding maximal exercise testing to the cardiovascular evaluation of middle-aged/senior athletes, as advocated by the ESC, may be useful to identify some persons at high risk, by detecting a physiologically significant coronary artery stenosis [12]. Several studies have indicated that asymptomatic men with an abnormal exercise test received the greatest benefits of interventions to reduce risk factors [13]. Notwithstanding the low predictive value (high false-negative rate) for CAD of both resting and exercise electrocardiography in asymptomatic individuals, exercise testing is still frequently performed in the course of a sports medical check-up [14]. This is partly attributable to the fact that the results of exercise testing will also provide information on cardiorespiratory fitness relevant to recommendations for subsequent training programs.
Coronary CT (CCT) can be of added value by providing a minimally invasive opportunity to image the coronary arteries for coronary artery calcium (CAC), atherosclerotic burden and coronary stenosis [15].
Non-contrast CCT for the assessment of CAC provides a non-invasive direct measure of burden of coronary atherosclerosis and is an independent predictor of cardiovascular events [16]. The CACS is the most powerful cardiac risk prognosticator in the asymptomatic population, with consistent superiority to all risk factor-based scores [17]. Absence of CAC is associated with a very low risk of future cardiovascular events in asymptomatic as well as symptomatic individuals [18]. The amount of CAC, however, relates poorly to the degree of luminal narrowing of the coronary arteries and a low CACS does not exclude CAD [19, 20]. The ‘Agatston Score’ remains the most commonly used measure to quantify CAC because most previous large-scale trials and cross-sectional studies used this method, so that large reference datasets exist (e.g. http://www.mesa-nhlbi.org/Calcium) [21]. Coronary artery calcification is age, gender, and race dependent. Agatston scores are often classified into five groups according to severity as listed in Table 1 [22]. A score <100 Agatston units (AU) is ranked as low risk, scores between 100 and 400 AU as intermediate (moderate) and above 400 AU as severe risk of future atherosclerotic cardiovascular events [22]. CACS is increasingly used as a tool to expand risk stratification in asymptomatic persons with an intermediate risk of cardiovascular events [23]. The low number needed to screen in the general population to identify an individual with moderate or severe CAC (8 and 20 respectively) seems to provide a justification for extending CAC testing to lower risk individuals [16] as CAC is also associated with risk of cardiovascular events among individuals with few or no risk factors. The 5-year number needed to treat to prevent a cardiovascular event in persons with a CACS ≥100 AU is low (19) [24] compared with the 5-year number needed to treat to prevent a cardiovascular event in patients with mild to moderate (140–160 mmHg) hypertension (122 to 135) [25].
Table 1.
Classification of coronary calcium score
| Absolute value (Agatston units) | Ranking |
|---|---|
| 0 | Absent |
| >0 < 10 | Minimal |
| ≥10 < 100 | Mild |
| ≥100 < 400 | Moderate |
| ≥400 < 1000 | Severe |
| ≥1000 | Extensive |
Classification of coronary calcium absolute content evaluated by cardiac CT and quantified by Agatston units
Coronary CT angiography
Low-dose coronary CT angiography (CCTA) can visualise, qualify (calcified, non-calcified, mixed plaques), and quantify (total atherosclerotic burden, degree of luminal stenosis) CAD and is increasingly used to rule out CAD in persons presenting with chest pain. The diagnostic accuracy of CCTA is high, regardless of risk profile [26]. In the near future CT fractional flow reserve is likely to provide information on the functional significance of coronary artery stenosis [27]. The vulnerable plaque paradigm states that plaque composition is a better predictor of acute coronary events than stenosis grade [28]. As athletes normally have a lower heart rate and BMI, they are suitable candidates for low radiation dose (2–3 millisievert—mSv) CCTA to determine the presence and extent of CAD. This dose corresponds to the yearly background radiation each person receives in Europe [29]. Furthermore, a recent position paper that analysed acute and long-term composite risks related to cardiovascular imaging showed that life-time risk of imaging procedures for fatal events is small compared with the general risk of fatal cardiac events by CAD in both asymptomatic and symptomatic populations [30].
Aim
The aim of the Measuring Athlete’s Risk of Cardiovascular events (MARC) study is to determine the prevalence and severity of CAD and the additional value of CCT in asymptomatic middle-aged (≥45 years) sportsmen whose routine SME revealed no cardiac abnormalities.
Methods/design
MARC is a prospective, cross-sectional study. Asymptomatic sportsmen aged 45 years and older, without known cardiovascular disease, engaged in competitive or recreational leisure sports or contemplating initiating regular exercise and with a normal SME (including resting and exercise electrocardiography) will be invited to undergo additional CCT. Baseline characteristics, including demography, cardiovascular risk factors, sports history, medical history and medication use, will be obtained. The results of the CCT, combined with the conventional cardiovascular risk profile, will be used to provide the participants with a tailored cardiovascular advice, based on the prevailing cardiovascular disease prevention and sports medicine guidelines [9, 31].
Based on the number of participants (n = 108) in the only cardiac CT study of asymptomatic athletes to date and the yearly number of persons (n = 300–350) performing a SME at an average Dutch sports medical department who would qualify for participation in MARC, we aim to include 300 asymptomatic participants to obtain estimates of the prevalence of coronary artery disease with reasonable confidence intervals and to determine the added value of CCT (CACS and CCTA) in the prevention of cardiovascular events. Given the 10- to 30-fold higher incidence of exercise-related cardiac arrests in men than in women we choose to enrol men only [32].
Coronary CT imaging
Coronary CT is performed using a 256-slice CT scanner (Philips Healthcare, Best, the Netherlands). A non-contrast coronary CT is acquired first to calculate the CACS (scan parameters 120 kV, 60 mAs). Participants with a heart rate >65 beats/min will receive 5 to 20 mg metoprolol (Selokeen AstraZeneca, Zoetermeer, the Netherlands) intravenously before CCTA. All participants receive two puffs of sublingual nitroglycerine spray just before the CCTA. CCTA scan parameters will be as follows: 120 kV; 210 mAs; 90–120 ml (depending on weight) non-ionic contrast material (Iopromide, 300 mg I/ml; Ultravist, Bayer Healthcare, Berlin, Germany) will be injected at a speed of 6–6.7 ml/s followed by 30–40 ml saline injected at the same speed. The CCTA is acquired with prospective ECG triggering at a mid-diastolic phase (78 %).
To determine the amount and distribution of soft and mixed coronary artery plaques CCTA will be done regardless of the CACS. In clinical practice CCTA is often withheld in patients with a CACS >400 AU because blooming artefacts might hinder the evaluation of coronary artery stenosis [33].
The total CCT radiation dose to which participants will be exposed is anticipated to be 3 mSv on average [34]. Participants receive extensive written and oral information prior to examination. If renal function is unknown, the creatinine is measured before the scan. Participants with renal dysfunction (estimated glomerular filtration rate <60 ml/min/1.73 m2) will be excluded from the study. Blood pressure and heart rate are available from the SME and will also be measured before the CT scan.
Image analysis
CT scans are sent to a workstation (IntelliSpace Portal, Philips Healthcare) for processing by experienced technicians. All CT scans are analysed by one of two experienced observers.
Assessment of coronary artery calcium score
CACS is measured on the non-contrast CT with the Agatston scoring method [35]. Coronary artery calcium is measurable above a density of >130 Hounsfield units (HU) in a coronary artery. Total CACS is calculated by the sum of all lesions in all four coronary arteries and their side branches. The total Agatston score will be compared with the MESA database [21].
Assessment of coronary CT angiography
Specialised technicians use semi-automated vessel analysis to make multiple curved multiplanar reconstructions (MPR) of all coronary arteries on the CCTA data. The radiologist views these MPR reconstructions as well as the thin-slice CCTA source images with interactive maximum intensity projection and MPR viewing possibilities in all planes. Image quality, plaque characteristics and coronary lumen stenosis will be analysed on a 16-segment basis according to the modified American Heart Association classification [36].
Plaque composition will be evaluated in a qualitative manner as calcified (more than 50 % of the plaque area calcified), mixed (plaques with <50 % calcium) and non-calcified (plaques without calcium) [37].
Total atherosclerotic plaque burden will be measured with both the segmental involvement score (SIS) and the segment stenosis score (SSS) based on the 16-segment coronary artery model. [38] Luminal stenosis will be graded as absent, minimal (1–24 %), mild (25–49 %), moderate (50–69 %), and severe (≥70 %) [39] narrowing on the basis of diameter measurements comparing the diameters of the maximal stenosis to a reference diameter proximal and distal to the stenotic area. If severe calcifications are present and quantification of stenosis is difficult, the radiologist will refrain from stenosis quantification and score the segments involved as ‘calcified, stenosis unclear’.
Outcome and consensus meetings
The primary outcome is the presence of relevant CAD that will be defined as one or more of the following on CT: a CACS ≥100 AU or luminal stenosis ≥50 %. Participants with a CACS ≥100 AU will be reclassified to high risk [24]. Consensus meetings with a panel of at least two (sports) cardiologists and one radiologist will be held regularly to advise on the management of participants found to have relevant CAD. As a general rule participants with a CACS between 100 and 400 AU without obstructive CAD will be recommended to initiate treatment with statins, in addition to lifestyle advice [40]. Participants with a CACS ≥400 AU or coronary stenosis ≥50 % will be given the opportunity to consult a cardiologist for further cardiovascular workup.
Statistical analysis
Analysis of the (baseline) results from this study will be descriptive (presence and extent of CAD). Descriptive statistics will be presented as means and standard deviations for continuous variables, and frequencies and percentages for categorical data. The two-tailed independent t-test will be used for comparison between groups (e.g. those with and without coronary artery disease) and analysis of variance will be used to compare means of more than two groups. The chi-square test will be used to examine the association between categorical variables. Linear regression and multivariate regression analysis will be used to study the relation between characteristics of the participants and CCT determined CAD.
The number needed to screen to prevent one cardiovascular event (defined as coronary heart disease events -myocardial infarction, death from coronary heart disease, definite angina, probable angina resulting in revascularisation or resuscitated cardiac arrest-, stroke, or other atherosclerotic death or other cardiovascular death) within 5 years will be computed based on the reciprocal of the prevalence of CAD (CACS ≥100 AU and / or luminal narrowing ≥50 %) (multiplied by 100) multiplied by the number needed to treat to prevent one cardiovascular event [24].
Statistical analyses will be performed with SPSS version 22.0 (SPSS Inc., Chicago, Illinois, USA). A p-value of less than 0.05 will be regarded as statistically significant.
Ethical considerations
This study has been approved by the regional Medical Ethics Committee (VCMO, Nieuwegein, the Netherlands) and subsequently approved by the local ethics board committee of the University Medical Center Utrecht, the Netherlands. The study is being conducted according to the principles of the Declaration of Helsinki and in accordance with the Dutch Medical Research Involving Human Subjects Act. Participants are only included in the MARC study after written informed consent is obtained.
Discussion
The MARC study will assess the additional value of low-dose coronary CCT to determine the prevalence and severity of CAD in 300 asymptomatic middle-aged (≥45 years) sportsmen, in whom an SME found no cardiac abnormalities. Participants of the MARC study should reflect the fast growing group of men aged 45 years or older who decide to undergo a SME that includes exercise testing. As such, we anticipate to include both competitive and recreational athletes. The majority of them are likely to be engaged in high dynamic high static sports (e.g. race cycling) and high dynamic low static sports (e.g. long distance runners). The number needed to screen with CCT to prevent the occurrence of one cardiovascular event in the next 5 years will be estimated.
Sudden cardiac death is the most devastating sport-related event. Although regular exercise reduces the risk of cardiovascular disease, the risk of an acute cardiac event is transiently increased during and immediately after vigorous exercise [4] Sports-related cardiac events occur mainly in those with unknown cardiac disease, which prompts many sportsmen to undergo a SME with exercise testing. The MARC study offers the most comprehensive cardiovascular evaluation of middle-aged sportsmen to date, by adding CCT (both CACS and CCTA) to the routine SME.
CT scanning is generally considered safe but, apart from radiation exposure (discussed in the Background section: CCTA), the following considerations should be taken into account when evaluating asymptomatic persons with CCT. Potential risks of CCTA include adverse reaction to the contrast media (nausea, skin hives in 1 to 3 % of participants, fatal adverse reactions in 1 in 100,000 participants) and contrast media-induced renal insufficiency (contrast nephropathy). The occurrence of contrast nephropathy is directly related to renal function; by selecting participants with a GFR higher than 60 ml/min contrast nephropathy is unlikely to occur [41].
The result of the CCT may lead to additional diagnostic tests with extra costs and risks not covered by this study. However, the Eisner study demonstrated that CAC scanning compared with no scanning in asymptomatic volunteers can improve cardiac management without incurring a significant increase in downstream medical costs [42]. Incidental findings will be reported to the participant and his general practitioner. Pulmonary nodules are likely to be common incidental findings in our study and will be managed according to the Fleischner criteria [43].
The results of the MARC study will give insight into the added value of CCT in the cardiovascular evaluation of asymptomatic sportsmen aged 45 years and older who have undergone a routine SME. We anticipate that our study will provide guidance in the debate on the optimal pre-participation evaluation of the rapidly growing group of older sportsmen in whom CAD is the main cause of cardiovascular events.
Electronic supplementary material
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Acknowledgments
Funding
This work was supported by a grant from SPORTCOR, a Dutch national registry of sudden cardiac arrest in athletes, the Foundations ‘Wetenschappelijk Onderzoek Hart- en Vaatziekten’ and ‘Bijstand Meander Medical Center’ Amersfoort and the Röntgen Foundation Utrecht. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Conflict of interest
None declared
References
- 1.Wellens HJ, Schwartz PJ, Lindemans FW, et al. Risk stratification for sudden cardiac death: current status and challenges for the futuredagger. Eur Heart J. 2014;35(25):1642–51. doi: 10.1093/eurheartj/ehu176. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Kim JH, Malhotra R, Chiampas G, et al. Cardiac arrest during long-distance running races. N Engl J Med. 2012;366(2):130–40. doi: 10.1056/NEJMoa1106468. [DOI] [PubMed] [Google Scholar]
- 3.Berdowski J, de Beus MF, Blom M, et al. Exercise-related out-of-hospital cardiac arrest in the general population: incidence and prognosis. Eur Heart J. 2013;34(47):3616–23. doi: 10.1093/eurheartj/eht401. [DOI] [PubMed] [Google Scholar]
- 4.Thompson PD, Franklin BA, Balady GJ, et al. Exercise and acute cardiovascular events placing the risks into perspective: a scientific statement from the American Heart Association Council on Nutrition, Physical Activity, and Metabolism and the Council on Clinical Cardiology. Circulation. 2007;115(17):2358–68. doi: 10.1161/CIRCULATIONAHA.107.181485. [DOI] [PubMed] [Google Scholar]
- 5.Thompson PD. Exercise prescription and proscription for patients with coronary artery disease. Circulation. 2005;112(15):2354–63. doi: 10.1161/CIRCULATIONAHA.104.502591. [DOI] [PubMed] [Google Scholar]
- 6.Corrado D, Pelliccia A, Bjornstad HH, et al. Cardiovascular pre-participation screening of young competitive athletes for prevention of sudden death: proposal for a common European protocol. Consensus statement of the study group of sport cardiology of the working group of cardiac rehabilitation and exercise physiology and the working group of myocardial and pericardial diseases of the European Society of Cardiology. Eur Heart J. 2005;26(5):516–24. doi: 10.1093/eurheartj/ehi108. [DOI] [PubMed] [Google Scholar]
- 7.Mosterd A, Senden JP, Engelfriet P. Preventing sudden cardiac death in athletes: finding the needle in the haystack or closing the barn door? Eur J Cardiovasc Prev Rehabil. 2011;18(2):194–6. doi: 10.1177/1741826710389374. [DOI] [PubMed] [Google Scholar]
- 8.Borjesson M, Urhausen A, Kouidi E, et al. Cardiovascular evaluation of middle-aged/ senior individuals engaged in leisure-time sport activities: position stand from the sections of exercise physiology and sports cardiology of the European Association of Cardiovascular Prevention and Rehabilitation. Eur J Cardiovasc Prev Rehabil. 2011;18(3):446–58. doi: 10.1097/HJR.0b013e32833bo969. [DOI] [PubMed] [Google Scholar]
- 9.Perk J, De Backer G, Gohlke H, et al. European guidelines on cardiovascular disease prevention in clinical practice (version 2012). The Fifth Joint Task Force of the European Society of Cardiology and Other Societies on Cardiovascular Disease Prevention in Clinical Practice (constituted by representatives of nine societies and by invited experts). Developed with the special contribution of the European Association for Cardiovascular Prevention & Rehabilitation (EACPR) Eur Heart J. 2012;33(13):1635–701. doi: 10.1093/eurheartj/ehs092. [DOI] [PubMed] [Google Scholar]
- 10.Mohlenkamp S, Lehmann N, Breuckmann F, et al. Running: the risk of coronary events: prevalence and prognostic relevance of coronary atherosclerosis in marathon runners. Eur Heart J. 2008;29(15):1903–10. doi: 10.1093/eurheartj/ehn163. [DOI] [PubMed] [Google Scholar]
- 11.Wilson M, O’Hanlon R, Prasad S, et al. Diverse patterns of myocardial fibrosis in lifelong, veteran endurance athletes. J Appl Physiol. 2011;110(6):1622–6. doi: 10.1152/japplphysiol.01280.2010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Gibbons RJ, Balady GJ, Bricker JT, et al. ACC/AHA 2002 guideline update for exercise testing: summary article. A report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines (Committee to Update the 1997 Exercise Testing Guidelines) J Am Coll Cardiol. 2002;40(8):1531–40. doi: 10.1016/S0735-1097(02)02164-2. [DOI] [PubMed] [Google Scholar]
- 13.Fletcher GF, Ades PA, Kligfield P, et al. Exercise standards for testing and training: a scientific statement from the American Heart Association. Circulation. 2013;128(8):873–934. doi: 10.1161/CIR.0b013e31829b5b44. [DOI] [PubMed] [Google Scholar]
- 14.Siscovick DS, Ekelund LG, Johnson JL, et al. Sensitivity of exercise electrocardiography for acute cardiac events during moderate and strenuous physical activity. The lipid research clinics coronary primary prevention trial. Arch Intern Med. 1991;151(2):325–30. doi: 10.1001/archinte.1991.00400020079017. [DOI] [PubMed] [Google Scholar]
- 15.van der Wall EE. Crown years for non-invasive cardiovascular imaging (Part IV): 30 years of cardiac computed tomography. Neth Heart J. 2013;21(7–8):315–8. doi: 10.1007/s12471-013-0427-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Budoff MJ, Hokanson JE, Nasir K, et al. Progression of coronary artery calcium predicts all-cause mortality. J Am Coll Cardiol Img. 2010;3(12):1229–36. doi: 10.1016/j.jcmg.2010.08.018. [DOI] [PubMed] [Google Scholar]
- 17.Silverman MG, Blaha MJ, Krumholz HM, et al. Impact of coronary artery calcium on coronary heart disease events in individuals at the extremes of traditional risk factor burden: the Multi-Ethnic Study of Atherosclerosis. Eur Heart J. 2014;35(33):2232–41. doi: 10.1093/eurheartj/eht508. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Sarwar A, Shaw LJ, Shapiro MD, et al. Diagnostic and prognostic value of absence of coronary artery calcification. J Am Coll Cardiol Img. 2009;2(6):675–88. doi: 10.1016/j.jcmg.2008.12.031. [DOI] [PubMed] [Google Scholar]
- 19.Scholte AJ, Schuijf JD, Kharagjitsingh AV, et al. Prevalence of coronary artery disease and plaque morphology assessed by multi-slice computed tomography coronary angiography and calcium scoring in asymptomatic patients with type 2 diabetes. Heart. 2008;94(3):290–5. doi: 10.1136/hrt.2007.121921. [DOI] [PubMed] [Google Scholar]
- 20.van Werkhoven JM, Schuijf JD, Gaemperli O, et al. Incremental prognostic value of multi-slice computed tomography coronary angiography over coronary artery calcium scoring in patients with suspected coronary artery disease. Eur Heart J. 2009;30(21):2622–9. doi: 10.1093/eurheartj/ehp272. [DOI] [PubMed] [Google Scholar]
- 21.McClelland RL, Chung H, Detrano R, et al. Distribution of coronary artery calcium by race, gender, and age: results from the Multi-Ethnic Study of Atherosclerosis (MESA) Circulation. 2006;113(1):30–7. doi: 10.1161/CIRCULATIONAHA.105.580696. [DOI] [PubMed] [Google Scholar]
- 22.Greenland P, Bonow RO, Brundage BH, et al. ACCF/AHA 2007 clinical expert consensus document on coronary artery calcium scoring by computed tomography in global cardiovascular risk assessment and in evaluation of patients with chest pain: a report of the American College of Cardiology Foundation Clinical Expert Consensus Task Force (ACCF/AHA Writing Committee to Update the 2000 Expert Consensus Document on Electron Beam Computed Tomography) developed in collaboration with the Society of Atherosclerosis Imaging and Prevention and the Society of Cardiovascular Computed Tomography. J Am Coll Cardiol. 2007;49(3):378–402. doi: 10.1016/j.jacc.2006.10.001. [DOI] [PubMed] [Google Scholar]
- 23.Perrone-Filardi P, Achenbach S, Mohlenkamp S, et al. Cardiac computed tomography and myocardial perfusion scintigraphy for risk stratification in asymptomatic individuals without known cardiovascular disease: a position statement of the Working Group on Nuclear Cardiology and Cardiac CT of the European Society of Cardiology. Eur Heart J. 2011;32(16):1986–93. doi: 10.1093/eurheartj/ehq235. [DOI] [PubMed] [Google Scholar]
- 24.Blaha MJ, Budoff MJ, DeFilippis AP, et al. Associations between C-reactive protein, coronary artery calcium, and cardiovascular events: implications for the JUPITER population from MESA, a population-based cohort study. Lancet. 2011;378(9792):684–92. doi: 10.1016/S0140-6736(11)60784-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Wright JM, Musini VM. First-line drugs for hypertension. Cochrane Database Syst Rev. 2009;(3):CD001841. [DOI] [PubMed]
- 26.Schuijf JD, Mollet NR, Cademartiri F, et al. Do risk factors influence the diagnostic accuracy of noninvasive coronary angiography with multislice computed tomography? J Nucl Cardiol Off Publ Am Soc Nucl Cardiol. 2006;13(5):635–41. doi: 10.1016/j.nuclcard.2006.05.019. [DOI] [PubMed] [Google Scholar]
- 27.Meijs MF, Cramer MJ, El Aidi H, et al. CT fractional flow reserve: the next level in non-invasive cardiac imaging. Neth Heart J. 2012;20(10):410–8. doi: 10.1007/s12471-012-0306-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Naghavi M, Libby P, Falk E, et al. From vulnerable plaque to vulnerable patient: a call for new definitions and risk assessment strategies: Part I. Circulation. 2003;108(14):1664–72. doi: 10.1161/01.CIR.0000087480.94275.97. [DOI] [PubMed] [Google Scholar]
- 29.Wall BF, Hart D. Revised radiation doses for typical X-ray examinations. Report on a recent review of doses to patients from medical X-ray examinations in the UK by NRPB National Radiological Protection Board. Br J Radiol. 1997;70(833):437–9. doi: 10.1259/bjr.70.833.9227222. [DOI] [PubMed] [Google Scholar]
- 30.Knuuti J, Bengel F, Bax JJ, et al. Risks and benefits of cardiac imaging: an analysis of risks related to imaging for coronary artery disease. Eur Heart J. 2014;35(10):633–8. doi: 10.1093/eurheartj/eht512. [DOI] [PubMed] [Google Scholar]
- 31.Montalescot G, Sechtem U, Achenbach S, et al. 2013 ESC guidelines on the management of stable coronary artery disease: the Task Force on the management of stable coronary artery disease of the European Society of Cardiology. Eur Heart J. 2013;34(38):2949–3003. doi: 10.1093/eurheartj/eht296. [DOI] [PubMed] [Google Scholar]
- 32.Marijon E, Bougouin W, Celermajer DS, et al. Characteristics and outcomes of sudden cardiac arrest during sports in women. Circ Arrhythmia Electrophysiol. 2013;6(6):1185–91. doi: 10.1161/CIRCEP.113.000651. [DOI] [PubMed] [Google Scholar]
- 33.Brodoefel H, Burgstahler C, Tsiflikas I, et al. Dual-source CT: effect of heart rate, heart rate variability, and calcification on image quality and diagnostic accuracy. Radiology. 2008;247(2):346–55. doi: 10.1148/radiol.2472070906. [DOI] [PubMed] [Google Scholar]
- 34.Alkadhi H, Stolzmann P, Desbiolles L, et al. Low-dose, 128-slice, dual-source CT coronary angiography: accuracy and radiation dose of the high-pitch and the step-and-shoot mode. Heart. 2010;96(12):933–8. doi: 10.1136/hrt.2009.189100. [DOI] [PubMed] [Google Scholar]
- 35.Agatston AS, Janowitz WR, Hildner FJ, et al. Quantification of coronary artery calcium using ultrafast computed tomography. J Am Coll Cardiol. 1990;15(4):827–32. doi: 10.1016/0735-1097(90)90282-T. [DOI] [PubMed] [Google Scholar]
- 36.Austen WG, Edwards JE, Frye RL, et al. A reporting system on patients evaluated for coronary artery disease. Report of the Ad Hoc Committee for Grading of Coronary Artery Disease, Council on Cardiovascular Surgery, American Heart Association. Circulation. 1975;51(4 Suppl):5–40. doi: 10.1161/01.CIR.51.4.5. [DOI] [PubMed] [Google Scholar]
- 37.Choi TY, Li D, Nasir K, et al. Differences in coronary atherosclerotic plaque burden and composition according to increasing age on computed tomography angiography. Acad Radiol. 2013;20(2):202–8. doi: 10.1016/j.acra.2012.09.017. [DOI] [PubMed] [Google Scholar]
- 38.Min JK, Shaw LJ, Devereux RB, et al. Prognostic value of multidetector coronary computed tomographic angiography for prediction of all-cause mortality. J Am Coll Cardiol. 2007;50(12):1161–70. doi: 10.1016/j.jacc.2007.03.067. [DOI] [PubMed] [Google Scholar]
- 39.Hadamitzky M, Achenbach S, Al-Mallah M, et al. Optimized prognostic score for coronary computed tomographic angiography: results from the CONFIRM registry (COronary CT Angiography EvaluatioN For Clinical Outcomes: An InteRnational Multicenter Registry) J Am Coll Cardiol. 2013;62(5):468–76. doi: 10.1016/j.jacc.2013.04.064. [DOI] [PubMed] [Google Scholar]
- 40.Schmermund A, Voigtlander T. Predictive ability of coronary artery calcium and CRP. Lancet. 2011;378(9792):641–3. doi: 10.1016/S0140-6736(11)61129-X. [DOI] [PubMed] [Google Scholar]
- 41.Stacul F, van der Molen AJ, Reimer P, et al. Contrast induced nephropathy: updated ESUR Contrast Media Safety Committee guidelines. Eur Radiol. 2011;21(12):2527–41. doi: 10.1007/s00330-011-2225-0. [DOI] [PubMed] [Google Scholar]
- 42.Rozanski A, Gransar H, Shaw LJ, et al. Impact of coronary artery calcium scanning on coronary risk factors and downstream testing the EISNER (Early Identification of Subclinical Atherosclerosis by Noninvasive Imaging Research) prospective randomized trial. J Am Coll Cardiol. 2011;57(15):1622–32. doi: 10.1016/j.jacc.2011.01.019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.MacMahon H, Austin JH, Gamsu G, et al. Guidelines for management of small pulmonary nodules detected on CT scans: a statement from the Fleischner Society. Radiology. 2005;237(2):395–400. doi: 10.1148/radiol.2372041887. [DOI] [PubMed] [Google Scholar]
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