American Heart Journal
Volume 154, Issue 1 , Pages 80-86 , July 2007

Framingham risk score and prediction of coronary heart disease death in young men

  • Jarett D. Berry, MD

      Affiliations

    • Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL
    • Department of Medicine, the Bluhm Cardiovascular Institute, Northwestern University Feinberg School of Medicine, Chicago, IL
    • ,
  • Donald M. Lloyd-Jones, MD, ScM

      Affiliations

    • Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL
    • Department of Medicine, the Bluhm Cardiovascular Institute, Northwestern University Feinberg School of Medicine, Chicago, IL
    • Corresponding Author InformationReprint requests: Donald M. Lloyd-Jones, MD, ScM, Department of Preventive Medicine and Division of Cardiology, Feinberg School of Medicine, Northwestern University, 680 N. Lake Shore Drive, Suite 1102, Chicago, IL 60611.
    • ,
  • Daniel B. Garside, BS

      Affiliations

    • Department of Medicine, the Bluhm Cardiovascular Institute, Northwestern University Feinberg School of Medicine, Chicago, IL
    • ,
  • Philip Greenland, MD

      Affiliations

    • Department of Medicine, the Bluhm Cardiovascular Institute, Northwestern University Feinberg School of Medicine, Chicago, IL

Received 22 August 2006 ,Accepted 28 March 2007.

References 

  1. Greenland P, Knoll MD, Stamler J, et al. Major risk factors as antecedents of fatal and nonfatal coronary heart disease events. JAMA. 2003;290:891–897
  2. Lloyd-Jones DM, Leip EP, Larson MG, et al. Prediction of lifetime risk for cardiovascular disease by risk factor burden at 50 years of age. Circulation. 2006;113:791–798
  3. Smith SC, Greenland P, Grundy SM. Prevention Conference V: beyond secondary prevention: identifying the high-risk patient for primary prevention: executive summary. Circulation. 2000;101:111–116
  4. Greenland P, LaBree L, Azen SP, et al. Coronary artery calcium score combined with Framingham score for risk prediction in asymptomatic individuals. JAMA. 2004;291:210–215
  5. O'Leary DH, Polak JF, Kronmal RA, et al. Carotid-artery intima and media thickness as a risk factor for myocardial infarction and stroke in older adults. N Engl J Med. 1999;340:14–22
  6. 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. Circulation. 2002;106:3143–3421
  7. Berenson GS, Srinivasan SR, Bao W, et al. Association between multiple cardiovascular risk factors and atherosclerosis in children and young adults. N Engl J Med. 1998;338:1650–1656
  8. Navas-Nacher EL, Colangelo L, Beam C, et al. Risk factors for coronary heart disease in men 18 to 39 years of age. Ann Intern Med. 2001;134:433–439
  9. Klag MJ, Ford DE, Mead LA, et al. Serum cholesterol in young men and subsequent cardiovascular disease. N Engl J Med. 1993;328:313–318
  10. LaRosa JC, Grundy SM, Waters DD, et al. Intensive lipid lowering with atorvastatin in patients with stable coronary disease. N Engl J Med. 2005;352:1425–1435
  11. Cannon CP, Braunwald E, McCabe CH, et al. Intensive versus moderate lipid lowering with statins after acute coronary syndromes. N Engl J Med. 2004;350:1495–1504
  12. Edwards A, Elwyn G, Mulley A. Explaining risks: turning numerical data into meaningful pictures. BMJ. 2002;324:827–830
  13. Mosca L, Ferris A, Fabunmi R, et al. Tracking women's awareness of heart disease: an American Heart Association national study. Circulation. 2004;109:573–579
  14. Self-reported use of mammography among women aged > or = 40 years—United States, 1989 and 1995. MMWR Morb Mortal Wkly Rep. 1997;46:937–941
  15. McMahan CA, Gidding SS, Malcom GT, et al. Pathobiological determinants of atherosclerosis in youth risk scores are associated with early and advanced atherosclerosis. Pediatrics. 2006;118:1447–1455
  16. McMahan CA, Gidding SS, Fayad ZA, et al. Risk scores predict atherosclerotic lesions in young people. Arch Intern Med. 2005;165:883–890
  17. Stamler J, Dyer AR, Shekelle RB, et al. Relationship of baseline major risk factors to coronary and all-cause mortality, and to longevity: findings from long-term follow-up of Chicago cohorts. Cardiology. 1993;82:191–222
  18. Stamler J, Rhomberg P, Schoenberger JA, et al. Multivariate analysis of the relationship of seven variables to blood pressure: findings of the Chicago Heart Association Detection Project in Industry, 1967-1972. J Chronic Dis. 1975;28:527–548
  19. Levine JB, Zak B. Automated determination of serum total cholesterol. Clin Chim Acta. 1964;10:381–384
  20. Prineas RJ, Castle CH, Curb JD, et al. Hypertension detection and follow-up program. Baseline electrocardiographic characteristics of the hypertensive participants. Hypertension. 1983;5(6 Pt 2):IV160–IV189
  21. Public Health Service. National Death Index User's Manual. In; October, 2000; Hyattsville, Maryland: 2000.
  22. World Health Organization. International classification of diseases, eighth revision (ICD-8). Geneva (Switzerland): World Health Organization; 1967;
  23. Department of Health and Human Services. The international classification of diseases. 9th revision, clinical modification: ICD-9-CM. DHHS Publication no. (PHS) 80-1260 ed. Washington (DC): Department of Health and Human Services, Government Printing Office; 1980;
  24. World Health Organization. International statistical classification of diseases and related health problems. 10th ed.. Geneva: World Health Organization; 1992;
  25. Wilson PWF, D'Agostino RB, Levy D, et al. Prediction of coronary heart disease using risk factor categories. Circulation. 1998;97:1837–1847
  26. D'Agostino S, Ralph B, Grundy S, et al. for the CHD Risk Prediction Group Validation of the Framingham coronary heart disease prediction scores: results of a multiple ethnic groups investigation. JAMA. 2001;286:180–187
  27. Risk assessment tool for estimating 10-year Risk of Developing Hard CHD. Third Report of the Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). p. http://hin.nhlbi.nih.gov/atpiii/calculator.asp?usertype=prof.
  28. Rose G. The strategy of preventive medicine. Oxford: Oxford University Press; 1992;
  29. Ridker PM, Cook N. Should age and time be eliminated from cardiovascular risk prediction models?: rationale for the creation of a new national risk detection program. Circulation. 2005;111:657–658
  30. Lloyd-Jones DM, Wilson PWF, Larson MG, et al. Framingham risk score and prediction of lifetime risk for coronary heart disease. Am J Cardiol. 2004;94:20–24
  31. Lloyd-Jones DM, Larson MG, Beiser A, et al. Lifetime risk of developing coronary heart disease. Lancet. 1999;353:89–92
  32. Anderson KM, Castelli WP, Levy D. Cholesterol and mortality. 30 years of follow-up from the Framingham study. JAMA. 1987;257:2176–2180
  33. Enos WF, Holmes RH, Beyer J. Coronary disease among United States soldiers killed in action in Korea: preliminary report. JAMA. 1953;152:1090–1093
  34. McNamara JJ, Molot MA, Stremple JF, et al. Coronary artery disease in combat casualties in Vietnam. JAMA. 1971;216:1185–1187
  35. Relationship of atherosclerosis in young men to serum lipoprotein cholesterol concentrations and smoking. A preliminary report from the Pathobiological Determinants of Atherosclerosis in Youth (PDAY) Research Group. JAMA. 1990;264:3018–3024
  36. Prosser LA, Stinnett AA, Goldman PA, et al. Cost-effectiveness of cholesterol-lowering therapies according to selected patient characteristics. Ann Intern Med. 2000;132:769–779
  37. Kannel WB, Schatzkin A. Sudden death: lessons from subsets in population studies. J Am Coll Cardiol. 1985;5(Suppl 6):141B–149B
  38. Kannel WB, Thomas HE. Sudden coronary death: the Framingham Study. Ann N Y Acad Sci. 1982;382:3–21
  39. Marrugat J, D'Agostino R, Sullivan L, et al. An adaptation of the Framingham coronary heart disease risk function to European Mediterranean areas. J Epidemiol Community Health. 2003;57:634–638
  40. Lloyd-Jones DM, Martin DO, Larson MG, et al. Accuracy of death certificates for coding coronary heart disease as the cause of death. Ann Intern Med. 1998;129:1020–1026

 We acknowledge the support by the American Heart Association, Dallas, TX, and its affiliates in Chicago, IL; the National Heart, Lung, and Blood Institute, Bethesda, MD, for grants R01-HL 15174, R01-HL 21010, and R01-HL 03387; and the Chicago Health Research Foundation, Chicago, IL. A list of colleagues who contributed to earlier aspects of this work has been published (Cardiology. 1993;82:191-222). Dr Berry received support from a Ruth Kirschstein National Research Service Award/National Heart, Lung, and Blood Institute fellowship (T32HL069771) at Northwestern University Feinberg School of Medicine, Chicago, IL.

PII: S0002-8703(07)00270-0

doi: 10.1016/j.ahj.2007.03.042

American Heart Journal
Volume 154, Issue 1 , Pages 80-86 , July 2007

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