Home Coronary Artery Atherosclerosis and Risk Stratification in Young Adults with an Intermediate Pretest Likelihood Detected by Multidetector Computed Tomography
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Coronary Artery Atherosclerosis and Risk Stratification in Young Adults with an Intermediate Pretest Likelihood Detected by Multidetector Computed Tomography

Rationale and Objectives

To document the prevalence of coronary artery disease (CAD) and major adverse cardiac events (MACE) in patients younger than 45 years of age with intermediate pretest likelihood of CAD, and to determine whether coronary computed tomography angiography (cCTA) is useful for risk stratification of this cohort.

Materials and Methods

We followed 452 intermediate pretest likelihood (according to Diamond and Forrester) outpatients who were suspected of CAD and underwent cCTA. They were all younger than 45 years old. The endpoint was MACE, defined as composite cardiac death, nonfatal myocardial infarction, or coronary revascularization.

Results

Follow-up was completed in 427 patients (94.5%) with a median follow-up period of 1081 days. No plaque was noted in 357 (83.6%) patients. Nonsignificant CAD was noted in 33 (7.7%) individuals and 37 (8.7%) patients with significant CAD. At the end of the follow-up period, 12 (2.8%) patients experienced MACE. The annualized event rate was 0.2% in patients with no plaque, 2.0% in patients with nonsignificant CAD, and 7.3% in patients with significant CAD. Hypertension, smoking, and significant CAD in cCTA were significant predictors of MACE in univariate analysis. Moreover, cCTA remained a predictor ( P < .001) of events after multivariate correction (hazard ratio: 8.345, 95% CI: 3.438–17.823, P < .001).

Conclusion

The prevalence of CAD and MACE in young adults with an intermediate pretest likelihood of CAD was considerable. cCTA is effective in restratifying patients into either a low or high posttest risk group. These results further emphasize the usefulness of cCTA in this cohort.

Coronary artery disease (CAD) remains a leading cause of global mortality despite significant medical advances during the past several decades . CAD predominantly manifests in older individuals and is closely related with age . Most studies have shown that only about 3% of all CAD cases and 2% to 6% of all infarctions involve individuals under the age of 45 . Prior studies have demonstrated the utility of coronary computed tomography angiography (cCTA) in symptomatic patients with a low- to intermediate-pretest probability of significant CAD, and suggest that cCTA does not provide additional relevant diagnostic information in patients with a high estimated pretest probability of CAD . Few studies have specifically evaluated cCTA in a young patient population with an intermediate pretest likelihood. The purpose of this study was to document the prevalence of CAD and major adverse cardiac events (MACE) in patients younger than 45 years of age with intermediate pretest likelihood of CAD, and to determine whether cCTA is useful for risk stratification of this cohort.

Materials and methods

Patient Recruitment

We evaluated 463 consecutive patients younger than age 45 who underwent cCTA between January 2007 and August 2008. The cCTA was performed to exclude CAD in patients at intermediate pretest likelihood of CAD according to Diamond and Forrester criteria , which are based on age, gender, and symptomatic status (including typical angina, atypical angina, non-anginal chest pain, and asymptomatic). Intermediate likelihood was defined as a pretest likelihood between 13.4% and 87.2%. In addition, asymptomatic diabetic patients were also classified as having an intermediate pretest likelihood according to the increased prevalence of CAD and increased risk of events in this population . For the present study, we excluded subjects with a history of acute myocardial infarction (AMI) ( n = 2), inadequate image quality because of motion artifacts or inadequate contrast concentration ( n = 5), or have other heart diseases (cardiomyopathy n = 1, valvular heart disease n = 1, congenital heart disease n = 2). Eventually, 452 intermediate pretest likelihood patients (284 men and 168 women) were enrolled.

Imaging Protocols

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Image Analysis

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CAD Risk Factors Assessment

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Follow-up

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Statistical Analysis

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Results

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Table 1

The Baseline Characteristics for All the Patients

Characteristics Overall ( n = 427) Plaque ( n = 70 ) No Plaque ( n = 357)P Value Age (y) 40.6 ± 3.9 42.1 ± 1.8 40.3 ± 4.1 <.001 Male 265 (62.1%) 49 (70.0%) 216 (60.5%) <.001 Body mass index 26.3 ± 4.5 27.0 ± 3.6 26.1 ± 4.7 .169 Obesity 45 (10.5%) 9 (12.9%) 36 (10.1%) .490 Hypertension 183 (42.9%) 46 (65.7%) 137 (38.4%) <.001 Diabetes 134 (31.4%) 30 (42.9%) 104 (29.1%) <.001 Dyslipidemia 112 (27.0%) 21 (30.0%) 91 (25.5%) .433 Family history 170 (39.8%) 37 (52.9%) 133 (37.3%) <.001 Smoking 199 (46.6%) 34 (48.6%) 165 (46.2%) .718

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Table 2

The Prevalence of CAD and MACE

n (Percentage) MACE (Rate)P Value Calcified plaque 66 (19.0%) 1 (1.5%) Noncalcified plaque 133 (38.0%) 3 (2.3%) Mixed plaque 151 (43.0%) 6 (4.0%) .527 CACS = 0 375 (87.8%) 5 (1.3%) CACS 1–100 46 (10.8%) 6 (13.0%) CACS 101–400 6 (1.4%) 1 (16.7%) <.001 No plaque 357 (83.6%) 2 (0.56%) Nonsignificant CAD 33 (7.7%) 2 (6.06%) Significant CAD 37 (8.7%) 8 (21.6%) <.001

CACS, coronary artery calcium score; CAD, coronary artery disease; MACE, major adverse cardiac events.

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Figure 1, Curved planar reformation (a) and volume-rendering (b) images of a 43-year-old male patient with typical angina. A noncalcified plaque was found in the proximal of the left anterior descending artery and led to significant coronary artery disease ( arrow ). The patient died suddenly 2 days after coronary computed tomography angiography examination.

Figure 2, A 44-year-old male patient with atypical angina, Maximum intensity projection (a) and volume rendering (b) showed a noncalcified plaque in the left anterior descending artery and led to significant coronary artery disease ( arrow ). After 364 days, coronary arteriography (c) confirmed the coronary computed tomography angiography finding ( arrow ) and implanted a stent (d) ( arrow ).

Table 3

The Prevalence of Significant CAD and MACE in Each Subgroup Based upon Presenting Symptoms

Without Typical Angina Typical Angina χ²P Value Asymptomatic Nonanginal CP Atypical Angina χ²P Value_n_ ( n /427) 128 (30.0%) 205 (48.0%) 68 (15.9%) 26 (6.1%) Significant CAD 8 (6.3%) 14 (6.8%) 5 (7.4%) 0.092 .955 10 (38.5%) 31.058 <.001 MACE 3 (2.3%) 4 (2.0%) 1 (1.5%) 0.177 .915 4 (15.4%) 16.027 <.001

CAD, coronary artery disease; CP, chest pain; MACE, major adverse cardiac events.

Figure 3, Kaplan-Meier survival curves between nonsignificant coronary artery disease (CAD) and significant CAD on coronary computed tomography angiography in all patients (a) , patients with typical angina (b) , and patients without typical angina (c) . A significant difference in survival was observed both in patients with typical angina and without.

Table 4

Univariate and Multivariate Predictors of MACE

Univariate Analysis Multivariate Analysis HR (95% CI)P Value HR (95% CI)P Value Age 1.110 (0.904–1.363) .319 Male 0.649 (0.206–2.045) .460 Hypertension 1.601 (1.220–2.096) .001 Family history 1.097 (0.348–3.456) .875 Dyslipidemia 1.130 (0.914–1.673) .265 Diabetes 1.423 (0.531–5.059) .478 Obesity 2.654 (0.719–9.805) .343 Smoking 1.645 (1.220–2.128) <.001 Significant CAD 10.137 (3.469–36.715) <.001 8.345 (3.438–17.823) <.001

CAD, coronary artery disease; MACE, major adverse cardiac events.

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Discussion

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References

  • 1. Beaglehole R.: Global cardiovascular disease prevention: time to get serious. Lancet 2001; 358: pp. 661-663.

  • 2. Hoff J.A., Daviglus M.L., Chomka E.V., et. al.: Conventional coronary artery disease risk factors and coronary artery calcium detected by electron beam tomography in 30,908 healthy individuals. Ann Epidemiol 2003; 13: pp. 163-169.

  • 3. Austen W.G., Edwards J.E., Frye R.L., 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: pp. 5-40.

  • 4. Meijboom W.B., Van Mieghem C.A., Mollet N.R., et. al.: 64-Slice computed tomography coronary angiography in patients with high, intermediate, or low pretest probability of significant coronary artery disease. J Am Coll Cardiol 2007; 50: pp. 1469-1475.

  • 5. Diamond G.A., Forrester J.S.: Analysis of probability as an aid in the clinical diagnosis of coronary-artery disease. N Engl J Med 1979; 300: pp. 1350-1358.

  • 6. Scholte A.J., Schuijf J.D., Kharagjitsingh A.V., 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: pp. 290-295.

  • 7. Agatston A.S., Janowitz W.R., Hildner F.J., et. al.: Quantification of coronary artery calcium using ultra fast computed tomography. J Am Coll Cardiol 1990; 15: pp. 827-832.

  • 8. Achenbach S., Moselewski F., Ropers D., et. al.: Detection of calcified and noncalcified coronary atherosclerotic plaque by contrast-enhanced, submillimeter multidetector spiral computed tomography: a segment-based comparison with intravascular ultrasound. Circulation 2004; 109: pp. 14-17.

  • 9. Pohle K., Achenbach S., Macneill B., et. al.: Characterization of non-calcified coronary atherosclerotic plaque by multi-detector row CT: comparison to IVUS. Atherosclerosis 2007; 190: pp. 174-180.

  • 10. Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults: Executive summary of the 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). JAMA 2001; 285: pp. 2486-2497.

  • 11. Diamond G.A.: A clinically relevant classification of chest discomfort. J Am Coll Cardiol 1983; 1: pp. 574-575.

  • 12. Ha E.J., Kim Y., Cheung J.Y., et. al.: Coronary artery disease in asymptomatic young adults: its prevalence according to coronary artery disease risk stratification and the CT characteristics. Korean J Radiol 2010; 11: pp. 425-432.

  • 13. Arad Y., Goodman K., Roth M., et. al.: Coronary calcification, coronary disease risk factors, C-reactive protein, and atherosclerotic cardiovascular disease events: the St. Francis Heart Study. J Am Coll Cardiol 2005; 46: pp. 158-165.

  • 14. Taylor A.J., Bindeman J., Feueustein I., et. al.: 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 2005; 46: pp. 807-814.

  • 15. Mahfouz R.A., El Tahlawi M.A., Ateya A.A., et. al.: Early detection of silent ischemia and diastolic dysfunction in asymptomatic young hypertensive patients. Echocardiography 2011; 28: pp. 564-569.

  • 16. Virdis A., Giannarelli C., Neves M.F., et. al.: Cigarette smoking and hypertension. Curr Pharmaceutical Design 2010; 16: pp. 2518-2525.

  • 17. Hulten E.A., Carbonaro S., Petrillo S.P., et. al.: Prognostic value of cardiac computed tomography angiography. J Am Coll Cardiol 2011; 57: pp. 1237-1247.

  • 18. Pflederer T., Marwan M., Schepiso T.: Characterization of culprit lesions in acute coronary syndromes using coronary dual-source CT angiography. Atherosclerosis 2010; 211: pp. 437-444.

  • 19. Greenland P., Bonow R.O., Brundage B.H., 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). J Am Coll Cardiol 2007; 49: pp. 378-402.

  • 20. Henneman M.M., Schuijf J.D., van Werkhoven J.M., et. al.: Multi-slice computed tomography coronary angiography for ruling out suspected coronary artery disease: what is the prevalence of a normal study in a general clinical population?. Eur Heart J 2008; 29: pp. 2006-2013.

  • 21. van Werkhoven J.M., Gaemperli O., Schuijf J.D., et. al.: Multislice computed tomography coronary angiography for risk stratification in patients with an intermediate pretest likelihood. Heart 2009; 95: pp. 1607-1611.

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