American Heart Journal
Volume 160, Issue 1 , Pages 49-57.e1 , July 2010

The BioImage Study: Novel approaches to risk assessment in the primary prevention of atherosclerotic cardiovascular disease—study design and objectives

  • Pieter Muntendam, MD

      Affiliations

    • BG Medicine Inc, Waltham, MA
  • ,
  • Carol McCall, FSA, MAAA

      Affiliations

    • Humana Inc, Louisville, KY
  • ,
  • Javier Sanz, MD

      Affiliations

    • The Mount Sinai School of Medicine, New York, NY
  • ,
  • Erling Falk, MD, PhD

      Affiliations

    • Department of Cardiology, Aarhus University Hospital (Skejby), Aarhus, Denmark
  • ,
  • Valentin Fuster, MD, PhD

      Affiliations

    • The Mount Sinai School of Medicine, New York, NY
    • Centro Nacional de Investigaciones Cardiovasculares, Madrid (CNIC), Madrid, Spain
    • Corresponding Author InformationReprint requests: Valentin Fuster, MD, PhD, Mount Sinai Medical Center, One Gustave L. Levy Place, Box 1030, New York, NY, 10029, USA.
  • ,
  • for the High-Risk Plaque Initiative

      Affiliations

    • Additional investigators participating in the BioImage Study are listed in the online Appendix.

Received 26 August 2009 ,Accepted 11 February 2010.

References 

  1. Woolf SH. A closer look at the economic argument for disease prevention. JAMA. 2009;301:536–538
  2. 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. National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). Circulation. 2002;106:3143–3421Available at: www.nhlbi.nih.gov/guidelines/cholesterol/atp3full.pdf
  3. Grundy SM, Cleeman JI, Merz CN, et al. Implications of recent clinical trials for the National Cholesterol Education Program Adult Treatment Panel III guidelines. Circulation. 2004;110:227–239Available at: www.nhlbi.nih.gov/guidelines/cholesterol/atp3upd04.pdf
  4. Yusuf S, Hawken S, Ounpuu S, et al. Effect of potentially modifiable risk factors associated with myocardial infarction in 52 countries (the INTERHEART study): case-control study. Lancet. 2004;364:937–952
  5. Lauer MS. Primary prevention of atherosclerotic cardiovascular disease: the high public burden of low individual risk. JAMA. 2007;297:1376–1378
  6. Wilson PWF, Pencina M, Jacques P, et al. C-reactive protein and reclassification of cardiovascular risk in the Framingham Heart Study. Circ Cardiovasc Qual Outcomes. 2008;1:92–97
  7. Ridker PM, Paynter NP, Rifai N, et al. C-reactive protein and parental history improve global cardiovascular risk prediction. The Reynolds Risk Score for men. Circulation. 2008;118:2243–2251
  8. Ridker PM, Buring JE, Rifai N, et al. Development and validation of improved algorithms for the assessment of global cardiovascular risk in women: the Reynolds Risk Score. JAMA. 2007;297:611–619
  9. Shah T, Casas JP, Cooper JA, et al. Critical appraisal of CRP measurement for the prediction of coronary heart disease events: new data and systematic review of 31 prospective cohorts. Int J Epidemiol. 2009;38:217–231
  10. Schaar JA, Muller JE, Falk E, et al. Terminology for high-risk and vulnerable coronary artery plaques. Report of a meeting on the vulnerable plaque, June 17 and 18, 2003, Santorini, Greece. Eur Heart J. 2004;25:1077–1082
  11. Detrano R, Guerci AD, Carr JJ, et al. Coronary calcium as a predictor of coronary events in four racial or ethnic groups. N Engl J Med. 2008;358:1336–1345
  12. Motoyama S, Sarai M, Harigaya H, et al. Computed tomographic angiography characteristics of atherosclerotic plaques subsequently resulting in acute coronary syndrome. J Am Coll Cardiol. 2009;54:49–57
  13. de Groot E, van Leuven SI, Duivenvoorden R, et al. Measurement of carotid intima-media thickness to assess progression and regression of atherosclerosis. Nat Clin Pract Cardiovasc Med. 2008;5:280–288
  14. Sanz J, Fayad ZA. Imaging of atherosclerotic cardiovascular disease. Nature. 2008;451:953–957
  15. Fuster V, Fayad ZA, Moreno PR, et al. Atherothrombosis and high-risk plaque: part II: approaches by noninvasive computed tomographic/magnetic resonance imaging. J Am Coll Cardiol. 2005;46:1209–1218
  16. Saam T, Hatsukami TS, Takaya N, et al. The vulnerable, or high-risk, atherosclerotic plaque: noninvasive MR imaging for characterization and assessment. Radiology. 2007;244:64–77
  17. Rudd JH, Warburton EA, Fryer TD, et al. Imaging atherosclerotic plaque inflammation with [18F]-fluorodeoxyglucose positron emission tomography. Circulation. 2002;105:2708–2711
  18. Bild DE, Bluemke DA, Burke GL, et al. Multi-ethnic study of atherosclerosis: objectives and design. Am J Epidemiol. 2002;156:871–881
  19. Wald NJ, Law MR. A strategy to reduce cardiovascular disease by more than 80%. BMJ. 2003;326:1419–1424
  20. U.S. Census Bureau. 2000 Census of population and housing, demographic profile. Profiles of general demographic characteristics.
  21. Heckbert SR, Kooperberg C, Safford MM, et al. Comparison of self-report, hospital discharge codes, and adjudication of cardiovascular events in the Women's Health Initiative. Am J Epidemiol. 2004;160:1152–1158
  22. Varas-Lorenzo C, Castellsague J, Stang MR, et al. Positive predictive value of ICD-9 codes 410 and 411 in the identification of cases of acute coronary syndromes in the Saskatchewan Hospital automated database. Pharmacoepidemiol Drug Saf. 2008;17:842–852
  23. Storey JD. A direct approach to false discovery rates. J R Stat Soc B. 2002;64:479–498
  24. Pencina MJ, D'Agostino RB. Overall C as a measure of discrimination in survival analysis: model specific population value and confidence interval estimation. Stat Med. 2004;23:2109–2123
  25. Pencina MJ, D'Agostino RB, D'Agostino RB, et al. Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond. Stat Med. 2008;27:157–172

 Clinical trial registration: http://www.clinicaltrials.gov/ct2/show/NCT00738725?term = bioimage&rank=1.

PII: S0002-8703(10)00165-1

doi: 10.1016/j.ahj.2010.02.021

American Heart Journal
Volume 160, Issue 1 , Pages 49-57.e1 , July 2010