Skip to main content

Advertisement

Log in

Non-invasive assessments reveal that more than half of randomly selected middle-aged individuals have evidence of subclinical atherosclerosis: a DanRisk substudy

  • Original Paper
  • Published:
The International Journal of Cardiovascular Imaging Aims and scope Submit manuscript

Abstract

Screening of the general population for subclinical atherosclerosis is controversial. We assessed the prevalence of subclinical atherosclerosis in healthy middle-aged individuals by 4 non-invasive modalities. In 277 randomly selected males (n = 121) and females (n = 156), aged 50 or 60 years, without known cardiovascular disease or diabetes, intima-media thickness/presence of carotid plaques by ultrasound; coronary artery calcification (CAC) by non-contrast enhanced cardiac CT; occurrence of peripheral artery disease (PAD) by ankle brachial index (ABI), and vascular leakage by urine albumin creatinine ratio (ACR), were evaluated. Traditional risk factors were obtained and HeartScore was calculated. A total of 56 % had morphological signs of atherosclerosis in one of the vascular territories; 41 % had CAC and 31 % a carotid plaque. Among individuals with atherosclerosis, 28 % had lesions in both vascular territories. Subclinical atherosclerosis was significantly more frequent in older males. Signs of PAD and microalbuminuria were very uncommon and detected in only 1 % of the entire population. No association was found between morphological signs of subclinical atherosclerosis and ABI or ACR. More than half of randomly selected apparently healthy middle aged individuals had subclinical atherosclerosis located in the coronary or carotid arteries.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. Roger VL, Go AS, Lloyd-Jones DM, Adams RJ, Berry JD, Brown TM et al (2011) Heart disease and stroke statistics—2011 update: a report from the American Heart Association. Circulation 123(4):e18–e209

    Article  PubMed  Google Scholar 

  2. Wilson PW, D’Agostino RB, Levy D, Belanger AM, Silbershatz H, Kannel WB (1998) Prediction of coronary heart disease using risk factor categories. Circulation 97(18):1837–1847

    Article  PubMed  CAS  Google Scholar 

  3. Conroy RM, Pyorala K, Fitzgerald AP, Sans S, Menotti A, De BG et al (2003) Estimation of ten-year risk of fatal cardiovascular disease in Europe: the SCORE project. Eur Heart J 24(11):987–1003

    Article  PubMed  CAS  Google Scholar 

  4. Graham I, Atar D, Borch-Johnsen K, Boysen G, Burell G, Cifkova R et al (2007) European guidelines on cardiovascular disease prevention in clinical practice: executive summary: Fourth 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). Eur Heart J 28(19):2375–2414

    Article  PubMed  Google Scholar 

  5. Greenland P, Alpert JS, Beller GA, Benjamin EJ, Budoff MJ, Fayad ZA et al (2010) ACCF/AHA guideline for assessment of cardiovascular risk in asymptomatic adults: executive summary: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines. Circulation 122(25):2748–2764

    Article  PubMed  Google Scholar 

  6. Erbel R, Mohlenkamp S, Moebus S, Schmermund A, Lehmann N, Stang A et al (2010) Coronary risk stratification, discrimination, and reclassification improvement based on quantification of subclinical coronary atherosclerosis: the Heinz Nixdorf Recall study. J Am Coll Cardiol 56(17):1397–1406

    Article  PubMed  Google Scholar 

  7. Melander O, Newton-Cheh C, Almgren P, Hedblad B, Berglund G, Engstrom G et al (2009) Novel and conventional biomarkers for prediction of incident cardiovascular events in the community. JAMA 302(1):49–57

    Article  PubMed  CAS  Google Scholar 

  8. Lorenz MW, Markus HS, Bots ML, Rosvall M, Sitzer M (2007) Prediction of clinical cardiovascular events with carotid intima-media thickness: a systematic review and meta-analysis. Circulation 115(4):459–467

    Article  PubMed  Google Scholar 

  9. Polonsky TS, McClelland RL, Jorgensen NW, Bild DE, Burke GL, Guerci AD, Greenland P (2010) Coronary artery calcium score and risk classification for coronary heart disease prediction. JAMA 303(16):1610–1616

    Article  PubMed  CAS  Google Scholar 

  10. Fowkes FG, Murray GD, Butcher I, Heald CL, Lee RJ, Chambless LE et al (2008) Ankle brachial index combined with Framingham Risk Score to predict cardiovascular events and mortality: a meta-analysis. JAMA 300(2):197–208

    Article  PubMed  CAS  Google Scholar 

  11. Mancia G, De BG, Dominiczak A, Cifkova R, Fagard R, Germano G et al (2007) Guidelines for the management of arterial hypertension: the task force for the management of arterial hypertension of the European society of hypertension (ESH) and of the European Society of Cardiology (ESC). J Hypertens 25(6):1105–1187

    Article  PubMed  CAS  Google Scholar 

  12. Diederichsen AC, Sand NP, Norgaard B, Lambrechtsen J, Jensen JM, Munkholm H et al (2012) Discrepancy between coronary artery calcium score and HeartScore in middle-aged Danes: the DanRisk study. Eur J Prev Cardiol 19(3):558–564

    Article  PubMed  Google Scholar 

  13. Stein JH, Korcarz CE, Post WS (2009) Use of carotid ultrasound to identify subclinical vascular disease and evaluate cardiovascular disease risk: summary and discussion of the American Society of Echocardiography consensus statement. Prev Cardiol 12(1):34–38

    Article  PubMed  Google Scholar 

  14. Agatston AS, Janowitz WR, Hildner FJ, Zusmer NR, Viamonte M Jr, Detrano R (1990) Quantification of coronary artery calcium using ultrafast computed tomography. J Am Coll Cardiol 15(4):827–832

    Article  PubMed  CAS  Google Scholar 

  15. Hirsch AT, Haskal ZJ, Hertzer NR, Bakal CW, Creager MA, Halperin JL et al (2006) ACC/AHA 2005 practice guidelines for the management of patients with peripheral arterial disease (lower extremity, renal, mesenteric, and abdominal aortic): a collaborative report from the american association for vascular surgery/society for vascular surgery, society for cardiovascular angiography and interventions, society for vascular medicine and biology, society of interventional radiology, and the ACC/AHA task force on practice guidelines (writing committee to develop guidelines for the management of patients with peripheral arterial disease): endorsed by the American Association of Cardiovascular and Pulmonary Rehabilitation; National Heart, Lung, and Blood Institute; Society for Vascular Nursing; TransAtlantic Inter-Society Consensus; and Vascular Disease Foundation. Circulation 113(11):e463–e654

    Article  PubMed  Google Scholar 

  16. Folsom AR, Kronmal RA, Detrano RC, O’Leary DH, Bild DE, Bluemke DA et al (2008) 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(12):1333–1339

    Article  PubMed  Google Scholar 

  17. Bauer M, Mohlenkamp S, Lehmann N, Schmermund A, Roggenbuck U, Moebus S et al (2009) The effect of age and risk factors on coronary and carotid artery atherosclerotic burden in males-results of the Heinz Nixdorf Recall Study. Atherosclerosis 205(2):595–602

    Article  PubMed  CAS  Google Scholar 

  18. Karim R, Hodis HN, Detrano R, Liu CR, Liu CH, Mack WJ (2008) Relation of Framingham risk score to subclinical atherosclerosis evaluated across three arterial sites. Am J Cardiol 102(7):825–830

    Article  PubMed  Google Scholar 

  19. Criqui MH, Kamineni A, Allison MA, Ix JH, Carr JJ, Cushman M et al (2010) Risk factor differences for aortic versus coronary calcified atherosclerosis: the multiethnic study of atherosclerosis. Arterioscler Thromb Vasc Biol 30(11):2289–2296

    Article  PubMed  CAS  Google Scholar 

  20. Oei HH, Vliegenthart R, Hak AE, del Iglesias SA, Hofman A, Oudkerk M, Witteman JC (2002) The association between coronary calcification assessed by electron beam computed tomography and measures of extracoronary atherosclerosis: the Rotterdam Coronary Calcification Study. J Am Coll Cardiol 39(11):1745–1751

    Article  PubMed  Google Scholar 

  21. Naqvi TZ, Mendoza F, Rafii F, Gransar H, Guerra M, Lepor N et al (2010) High prevalence of ultrasound detected carotid atherosclerosis in subjects with low Framingham risk score: potential implications for screening for subclinical atherosclerosis. J Am Soc Echocardiogr 23(8):809–815

    Article  PubMed  Google Scholar 

  22. de Maat MP, Bladbjerg EM, Drivsholm T, Borch-Johnsen K, Moller L, Jespersen J (2003) Inflammation, thrombosis and atherosclerosis: results of the Glostrup study. J Thromb Haemost 1(5):950–957

    Article  PubMed  Google Scholar 

  23. Howard G, Sharrett AR, Heiss G, Evans GW, Chambless LE, Riley WA, Burke GL (1993) Carotid artery intimal-medial thickness distribution in general populations as evaluated by B-mode ultrasound. ARIC Investigators. Stroke 24(9):1297–1304

    Article  PubMed  CAS  Google Scholar 

  24. Budoff MJ, Shaw LJ, Liu ST, Weinstein SR, Mosler TP, Tseng PH et al (2007) Long-term prognosis associated with coronary calcification: observations from a registry of 25,253 patients. J Am Coll Cardiol 49(18):1860–1870

    Article  PubMed  Google Scholar 

  25. Becker CR, Kleffel T, Crispin A, Knez A, Young J, Schoepf UJ et al (2001) Coronary artery calcium measurement: agreement of multirow detector and electron beam CT. AJR Am J Roentgenol 176(5):1295–1298

    PubMed  CAS  Google Scholar 

  26. Callister TQ, Raggi P, Cooil B, Lippolis NJ, Russo DJ (1998) Effect of HMG-CoA reductase inhibitors on coronary artery disease as assessed by electron-beam computed tomography. N Engl J Med 339(27):1972–1978

    Article  PubMed  CAS  Google Scholar 

  27. Resnick HE, Lindsay RS, McDermott MM, Devereux RB, Jones KL, Fabsitz RR, Howard BV (2004) Relationship of high and low ankle brachial index to all-cause and cardiovascular disease mortality: the Strong Heart Study. Circulation 109(6):733–739

    Article  PubMed  Google Scholar 

  28. Espinola-Klein C, Rupprecht HJ, Bickel C, Lackner K, Savvidis S, Messow CM et al (2008) Different calculations of ankle-brachial index and their impact on cardiovascular risk prediction. Circulation 118(9):961–967

    Article  PubMed  Google Scholar 

  29. Shah PK (2010) Screening asymptomatic subjects for subclinical atherosclerosis: can we, does it matter, and should we? J Am Coll Cardiol 56(2):98–105

    Article  PubMed  Google Scholar 

Download references

Acknowledgments

The skillfull work in performing the ABI by Anette Nygaard, Tina Hansen and Anne Mette Svenningsen is appreciated. Staff at the Departments of Cardiology and Radiology, SVS Esbjerg are thanked for their assistance in providing the CT-data for this study.

Conflict of interest

None.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Niels P. Rønnow Sand.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Bjerrum, I.S., Sand, N.P.R., Poulsen, M.K. et al. Non-invasive assessments reveal that more than half of randomly selected middle-aged individuals have evidence of subclinical atherosclerosis: a DanRisk substudy. Int J Cardiovasc Imaging 29, 301–308 (2013). https://doi.org/10.1007/s10554-012-0091-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10554-012-0091-8

Keywords

Navigation