Arterial age as a substitute for chronological age in the AGLA risk function could improve coronary risk prediction

Swiss Medical Weekly

Volumn 144, Issue , 2014, Pages

  Romanens, Michel ^a   Ackermann, Franz ^b   Sudano, Isabella ^c   Szucs, Thomas ^d   Spence, J David ^e  

^a Vascular Risk Foundation   (Switzerland)

^b University Hospital ^*

^c UNIVERSITY HOSPITAL ZURICH   (Switzerland)

^d Head European Center of Pharmaceutical Medicine (ECPM) Research   (Switzerland)

^e ROBARTS RESEARCH INSTITUTE   (Canada)

Author keywords

Arterial age; Cardiovascular risk prediction; Carotid ultrasound; Total plaque area

Indexed keywords

ADULT; AGE; AGED; AGLA RISK FUNCTION; ARTICLE; CORONARY RISK; DIABETES MELLITUS; DISEASE MARKER; ECHOGRAPHY; EVENT FREE SURVIVAL; FEMALE; HEART INFARCTION; HUMAN; MAJOR CLINICAL STUDY; MALE; NAMED INVENTORIES, QUESTIONNAIRES AND RATING SCALES; PREDICTION; PROPORTIONAL HAZARDS MODEL; RECEIVER OPERATING CHARACTERISTIC; RISK ASSESSMENT; AREA UNDER THE CURVE; ARTERIAL WALL THICKNESS; CAROTID ARTERY OBSTRUCTION; DISEASE FREE SURVIVAL; EXTERNAL CAROTID ARTERY; INTERNAL CAROTID ARTERY; MATHEMATICAL PHENOMENA; MIDDLE AGED; MYOCARDIAL INFARCTION; PHYSIOLOGY; PREDICTIVE VALUE; PROCEDURES; VALIDATION STUDY;

ADULT; AGE FACTORS; AGED; AREA UNDER CURVE; CAROTID ARTERY, EXTERNAL; CAROTID ARTERY, INTERNAL; CAROTID INTIMA-MEDIA THICKNESS; CAROTID STENOSIS; DISEASE-FREE SURVIVAL; FEMALE; HUMANS; MALE; MATHEMATICAL CONCEPTS; MIDDLE AGED; MYOCARDIAL INFARCTION; PREDICTIVE VALUE OF TESTS; PROPORTIONAL HAZARDS MODELS; RISK ASSESSMENT; ROC CURVE;

EID: 84903843803     PISSN: 14247860     EISSN: 14243997     Source Type: Journal    
DOI: 10.4414/smw.2014.13967     Document Type: Article

References (30)

1. Grundy SM. Age as a risk factor: you are as old as your arteries. Am J Cardiol. 1999;83:1455-7. (Pubitemid 29228343)
2. D'Agostino RB, Vasan RS, Pencina MJ, Wolf P a, Cobain M, Massaro JM, et al. General cardiovascular risk profile for use in primary care: the Framingham Heart Study. Circulation. 2008;117:743-53. (Pubitemid 351640675)
3. Stein JH, Fraizer MC, Aeschlimann SE, Nelson-Worel J, McBride PE, Douglas PS. Vascular age: integrating carotid intima-media thickness measurements with global coronary risk assessment. Clin Cardiol. 2004;27(7):388-92. (Pubitemid 38849961)
4. McClelland RL, Nasir K, Budoff M, Blumenthal RS, Kronmal RA. Arterial Age as a Function of Coronary Artery Calcium (from the Multi-Ethnic Study of Atherosclerosis [MESA]). Am J Cardiol. 2009;103:59-63.
5. Marma AK, Lloyd-Jones DM. Systematic examination of the updated Framingham heart study general cardiovascular risk profile. Circulation. 2009;120:384-90.
6. Rodondi N, Collet T-H, Nanchen D, Locatelli I, Depairon M, Aujesky D, et al. Impact of carotid plaque screening on smoking cessation and other cardiovascular risk factors: a randomized controlled trial. Arch Intern Med. 2012;172:344-52.
7. Spence D, Hackam D. Treating arteries instead of risk factors: a paradigm change in management of atherosclerosis. Stroke. 2010;41:1193-9.
8. Spence JD. Carotid plaque measurement is superior to IMT Invited editorial comment on: carotid plaque, compared with carotid intima-media thickness, more accurately predicts coronary artery disease events: a meta-analysis-Yoichi Inaba, M.D., Jennifer A. Chen M.D., S. Atherosclerosis. 2012;220:34-5.
9. Spence JD, Eliasziw M, DiCicco M, Hackam DG, Galil R, Lohmann T. Carotid Plaque Area: A Tool for Targeting and Evaluating Vascular Preventive Therapy. Stroke. 2002;33:2916-22. (Pubitemid 35462866)
10. Mathiesen EB, Johnsen SH, Wilsgaard T, Bønaa KH, Løchen M-L, Njølstad I. Carotid Plaque Area and Intima-Media Thickness in Prediction of First-Ever Ischemic Stroke: A 10-Year Follow-Up of 6584 Men and Women: The Tromso Study. Stroke. 2011;42:972-8.
11. Johnsen SH, Mathiesen EB, Joakimsen O, Stensland E, Wilsgaard T, Løchen M-L, et al. Carotid atherosclerosis is a stronger predictor of myocardial infarction in women than in men: a 6-year follow-up study of 6226 persons: the Tromso Study. Stroke. 2007;38:2873-80. (Pubitemid 350035678)
12. Romanens M, Ackermann F, Schwenkglenks M, Szucs T, Spence JD. Posterior probabilities in sequential testing improve cardiovascular risk prediction using carotid total plaque area. Kardiovaskuläre Medizin. 2011;14:53-7.
13. Inaba Y, Chen JA, Bergmann SR. Carotid plaque, compared with carotid intima-media thickness, more accurately predicts coronary artery disease events: a meta-analysis. Atherosclerosis. 2012;220:128-33.
14. Spence JD. Technology Insight: ultrasound measurement of carotid plaque-patient management, genetic research, and therapy evaluation. Nat Clin Pr. Neuro. 2006;2:611-9. (Pubitemid 44614087)
15. Romanens M, Ackermann F, Sudano I, Szucs T, Riesen WF, Darioli R, et al. LDL-cholesterol and the potential for coronary risk improvement. Kardiovaskuläre Medizin. 2011;14:345-50.
16. Romanens M, Ackermann F, Riesen W, Spence JD, Darioli R. Imaging as a cardiovascular risk modifier in primary care patients using predictor models of the European and inter- national atherosclerosis societies. Kardiovaskuläre Medizin. 2007;10:139-50.
17. Eckardstein A. AGLA Guidelines. 2012. Available at: www.agla.ch.
18. MedCalc Software bvba, Ostend B. MedCalc Statistical Software version. 2013. Available at: http://www.medcalc.org.
19. Delong E, Delong D, Clarke-Pearson D. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics. 1988;44:837-45.
20. Pencina MJ, D'Agostino RB, Vasan RS. Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond. Stat Med. 2008;27:157-72. (Pubitemid 351193639)
21. Budoff MJ, Young R, Lopez VA, Kronmal RA, Nasir K, Blumenthal RS, et al. Progression of Coronary Calcium and Incident Coronary Heart Disease Events: The Multi-Ethnic Study of Atherosclerosis. J Am Coll Cardiol. 2013;61:1231-9.
22. Herder M, Arntzen KA, Johnsen SH, Eggen AE, Mathiesen EB. Long-term use of lipid-lowering drugs slows progression of carotid atherosclerosis: the Tromso study 1994 to 2008. Arterioscler Thromb Vasc Biol. 2013;33(4):858-62.
23. Migrino RQ, Bowers M, Harmann L, Prost R, Ladisa JF. Carotid plaque regression following 6-month statin therapy assessed by 3T cardiovascular magnetic resonance: comparison with ultrasound intima media thickness. J Cardiovasc Magn Reson 2011;13:37.
24. Stein JH. Carotid intima-media thickness and vascular age: you are only as old as your arteries look. J Am Soc Echocardiogr. 2004;17:686-9. (Pubitemid 38858052)
25. DeGoma E. CIMT Arterial Age Calculator. Available at: www.emildegomamd.com/home-htm-files/CIMT Calculator EdGv1.3.xls.
26. Folsom AR, Kronmal R a, Detrano RC, O'Leary DH, Bild DE, Bluemke DA, et al. Coronary artery calcification compared with carotid intimamedia thickness in the prediction of cardiovascular disease incidence: the Multi-Ethnic Study of Atherosclerosis (MESA). Arch intern Med. 2008;168:1333-9.
27. Bots ML, Baldassarre D, Simon A, de Groot E, O'Leary DH, Riley W, et al. Carotid intima-media thickness and coronary atherosclerosis: weak or strong relations? Eur Hear. J 2007;28:398-406. (Pubitemid 47343565)
28. Den Ruijter HM, Peters S a E, Anderson TJ, Britton AR, Dekker JM, Eijkemans MJ, et al. Common carotid intima-media thickness measurements in cardiovascular risk prediction: a meta-analysis. JAMA. 2012;308:796-803.
29. Cuende J, Cuende N, Calaveras-Lagartos J. How to calculate vascular age with the SCORE project scales: a new method of cardiovascular risk evaluation. Eur Hear. J 2010;31:2351-8.
30. Anon. Insulin Resistance Intervention after Stroke Trial. A Coop. Progr. funded by Natl. Inst. Neurol. Disord. Stroke (A Div. Natl. Institutes Heal. Available at: http://www.iristrial.org/generalinfo.html. Accessed May 23, 2013.