Framingham risk score and alternatives for prediction of coronary heart disease in older adults

PLoS ONE

Volumn 7, Issue 3, 2012, Pages

  Rodondi, Nicolas ^a   Locatelli, Isabella ^b,c   Aujesky, Drahomir ^a   Butler, Javed ^d   Vittinghoff, Eric ^e   Simonsick, Eleanor ^f   Satterfield, Suzanne ^g   Newman, Anne B ^h   Wilson, Peter W F ^d   Pletcher, Mark J ^e   Bauer, Douglas C ^e  

^a UNIVERSITY OF BERN   (Switzerland)

^b UNIVERSITY OF LAUSANNE   (Switzerland)

^c UNIVERSITY OF LAUSANNE   (Switzerland)

^d EMORY UNIVERSITY   (United States)

^e UNIVERSITY OF CALIFORNIA   (United States)

^f NATIONAL INSTITUTE ON AGING   (United States)

^g UNIVERSITY OF TENNESSEE COLLEGE OF MEDICINE   (United States)

^h UNIVERSITY OF PITTSBURGH GRADUATE SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CREATININE; CHOLESTEROL; HIGH DENSITY LIPOPROTEIN CHOLESTEROL;

ADULT; AGE DISTRIBUTION; AGED; ARTICLE; COHORT ANALYSIS; CONTROLLED STUDY; CORONARY ARTERY RECANALIZATION; FEMALE; FOLLOW UP; FRAMINGHAM RISK SCORE; HEART DEATH; HEART INFARCTION; HUMAN; HUMAN EXPERIMENT; INCIDENCE; ISCHEMIC HEART DISEASE; LIFESTYLE; MALE; PREDICTION; PROGNOSIS; RISK ASSESSMENT; SEX DIFFERENCE; WAIST CIRCUMFERENCE; AFRICAN AMERICAN; BLOOD; BLOOD PRESSURE; CAUCASIAN; CORONARY ARTERY DISEASE; DIABETES MELLITUS; PREDICTIVE VALUE; RISK FACTOR; SMOKING;

ANGINA;

AFRICAN AMERICANS; AGED; BLOOD PRESSURE; CHOLESTEROL; CHOLESTEROL, HDL; COHORT STUDIES; CORONARY DISEASE; DIABETES COMPLICATIONS; EUROPEAN CONTINENTAL ANCESTRY GROUP; FEMALE; FOLLOW-UP STUDIES; HUMANS; MALE; PREDICTIVE VALUE OF TESTS; RISK FACTORS; SMOKING;

EID: 84859068492     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0034287     Document Type: Article

References (33)

1. Pletcher MJ, Lazar L, Bibbins-Domingo K, Moran A, Rodondi N, et al. (2009) Comparing impact and cost-effectiveness of primary prevention strategies for lipid-lowering. Ann Intern Med 150: 243-254.
2. Wilson PW, D'Agostino RB, Levy D, Belanger AM, Silbershatz H, et al. (1998) Prediction of coronary heart disease using risk factor categories. Circulation 97: 1837-1847.
3. Conroy RM, Pyorala K, Fitzgerald AP, Sans S, Menotti A, et al. (2003) Estimation of ten-year risk of fatal cardiovascular disease in Europe: the SCORE project. Eur Heart J 24: 987-1003.
4. Assmann G, Cullen P, Schulte H, (2002) Simple scoring scheme for calculating the risk of acute coronary events based on the 10-year follow-up of the prospective cardiovascular Munster (PROCAM) study. Circulation 105: 310-315.
5. NCEP (2001) 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 285: 2486-2497.
6. USPSTF (2009) Aspirin for the prevention of cardiovascular disease: U.S. Preventive Services Task Force recommendation statement. Ann Intern Med 150: 396-404.
7. Psaty BM, Anderson M, Kronmal RA, Tracy RP, Orchard T, et al. (2004) The association between lipid levels and the risks of incident myocardial infarction, stroke, and total mortality: the cardiovascular health study. J Am Geriatr Soc 52: 1639-1647.
8. CDC (2003) Trends in aging-United States and worldwide. MMWR Morb Mortal Wkly Rep 52: 101-106.
9. Liu J, Hong Y, D'Agostino RB Sr, Wu Z, Wang W, et al. (2004) Predictive Value for the Chinese Population of the Framingham CHD Risk Assessment Tool Compared With the Chinese Multi-provincial Cohort Study. JAMA 291: 2591-2599.
10. Newman AB, Simonsick EM, Naydeck BL, Boudreau RM, Kritchevsky SB, et al. (2006) Association of long-distance corridor walk performance with mortality, cardiovascular disease, mobility limitation, and disability. JAMA 295: 2018-2026.
11. Go AS, Chertow GM, Fan D, McCulloch CE, Hsu CY, (2004) Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization. N Engl J Med 351: 1296-1305.
12. Butler J, Rodondi N, Zhu Y, Figaro K, Fazio S, et al. (2006) Metabolic syndrome and the risk of cardiovascular disease in older adults. J Am Coll Cardiol 47: 1595-1602.
13. Maraldi C, Volpato S, Kritchevsky SB, Cesari M, Andresen E, et al. (2006) Impact of inflammation on the relationship among alcohol consumption, mortality, and cardiac events: the health, aging, and body composition study. Arch Intern Med 166: 1490-1497.
14. Paffenbarger RS Jr, Hyde RT, Wing AL, Lee IM, Jung DL, et al. (1993) The association of changes in physical-activity level and other lifestyle characteristics with mortality among men. N Engl J Med 328: 538-545.
15. Cesari M, Penninx BW, Newman AB, Kritchevsky SB, Nicklas BJ, et al. (2003) Inflammatory markers and onset of cardiovascular events: results from the Health ABC study. Circulation 108: 2317-2322.
16. Rodondi N, Newman AB, Vittinghoff E, de Rekeneire N, Satterfield S, et al. (2005) Subclinical hypothyroidism and the risk of heart failure, other cardiovascular events, and death. Arch Intern Med 165: 2460-2466.
17. Rodondi N, Marques-Vidal P, Butler J, Sutton-Tyrrell K, Cornuz J, et al. (2010) Markers of atherosclerosis and inflammation for prediction of coronary heart disease in older adults. Am J Epidemiol 171: 540-549.
18. Lee CD, Folsom AR, Pankow JS, Brancati FL, (2004) Cardiovascular events in diabetic and nondiabetic adults with or without history of myocardial infarction. Circulation 109: 855-860.
19. Aktas MK, Ozduran V, Pothier CE, Lang R, Lauer MS, (2004) Global risk scores and exercise testing for predicting all-cause mortality in a preventive medicine program. JAMA 292: 1462-1468.
20. Harrell FE Jr, Lee KL, Mark DB, (1996) Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Stat Med 15: 361-387.
21. Cook NR, Buring JE, Ridker PM, (2006) The Effect of Including C-Reactive Protein in Cardiovascular Risk Prediction Models for Women. Ann Intern Med 145: 21-29.
22. Parzen M, Lipsitz SR, (1999) A global goodness-of-fit statistic for Cox regression models. Biometrics 55: 580-584.
23. Ridker PM, Buring JE, Rifai N, Cook NR, (2007) Development and validation of improved algorithms for the assessment of global cardiovascular risk in women: the Reynolds Risk Score. JAMA 297: 611-619.
24. D'Agostino RB Sr, Grundy S, Sullivan LM, Wilson P, (2001) Validation of the Framingham coronary heart disease prediction scores: results of a multiple ethnic groups investigation. JAMA 286: 180-187.
25. Greenland P, LaBree L, Azen SP, Doherty TM, Detrano RC, (2004) Coronary artery calcium score combined with Framingham score for risk prediction in asymptomatic individuals. JAMA 291: 210-215.
26. de Ruijter W, Westendorp RG, Assendelft WJ, den Elzen WP, de Craen AJ, et al. (2009) Use of Framingham risk score and new biomarkers to predict cardiovascular mortality in older people: population based observational cohort study. BMJ 338: a3083.
27. Empana JP, Ducimetiere P, Arveiler D, Ferrieres J, Evans A, et al. (2003) Are the Framingham and PROCAM coronary heart disease risk functions applicable to different European populations? The PRIME Study. Eur Heart J 24: 1903-1911.
28. Tzoulaki I, Liberopoulos G, Ioannidis JP, (2009) Assessment of claims of improved prediction beyond the Framingham risk score. JAMA 302: 2345-2352.
29. Polonsky TS, McClelland RL, Jorgensen NW, Bild DE, Burke GL, et al. (2010) Coronary artery calcium score and risk classification for coronary heart disease prediction. JAMA 303: 1610-1616.
30. Gerszten RE, Wang TJ, (2008) The search for new cardiovascular biomarkers. Nature 451: 949-952.
31. Ioannidis JP, Tzoulaki I, (2010) What makes a good predictor?: the evidence applied to coronary artery calcium score. JAMA 303: 1646-1647.
32. Levey AS, Coresh J, Greene T, Stevens LA, Zhang YL, et al. (2006) Using standardized serum creatinine values in the modification of diet in renal disease study equation for estimating glomerular filtration rate. Ann Intern Med 145: 247-254.
33. Ingelsson E, Schaefer EJ, Contois JH, McNamara JR, Sullivan L, et al. (2007) Clinical utility of different lipid measures for prediction of coronary heart disease in men and women. JAMA 298: 776-785.