Markers of atherosclerosis and inflammation for prediction of coronary heart disease in older adults

American Journal of Epidemiology

Volumn 171, Issue 5, 2010, Pages 540-549

  Rodondi, Nicolas ^a   Marques Vidal, Pedro ^b,c   Butler, Javed ^d   Sutton Tyrrell, Kim ^e   Cornuz, Jacques ^a   Satterfield, Suzanne ^f   Harris, Tamara ^g   Bauer, Douglas C ^h   Ferrucci, Luigi ^g   Vittinghoff, Eric ^h   Newman, Anne B ^e  

^a UNIVERSITY OF LAUSANNE   (Switzerland)

^b UNIVERSITY OF LAUSANNE   (Switzerland)

^c UNIVERSITY OF LAUSANNE   (Switzerland)

^d EMORY UNIVERSITY SCHOOL OF MEDICINE   (United States)

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

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

^g NATIONAL INSTITUTE ON AGING   (United States)

^h UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Atherosclerosis; Cohort studies; Coronary disease; Inflammation

Indexed keywords

C REACTIVE PROTEIN; CREATININE; HIGH DENSITY LIPOPROTEIN CHOLESTEROL; INTERLEUKIN 6; LOW DENSITY LIPOPROTEIN CHOLESTEROL; TRIACYLGLYCEROL; TUMOR NECROSIS FACTOR ALPHA;

AGE STRUCTURE; BASELINE SURVEY; CARDIOVASCULAR DISEASE; COHORT ANALYSIS; HEALTH RISK; RISK FACTOR; TEMPORAL ANALYSIS; TUMOR;

ADULT; AGED; ANGINA PECTORIS; AORTA; ARTICLE; ATHEROSCLEROSIS; CARDIOVASCULAR RISK; CHOLESTEROL BLOOD LEVEL; CONTROLLED STUDY; CREATININE BLOOD LEVEL; DIAGNOSTIC ACCURACY; DIASTOLIC BLOOD PRESSURE; FEMALE; FOLLOW UP; HEART INFARCTION; HEART MUSCLE REVASCULARIZATION; HOSPITALIZATION; HUMAN; INFLAMMATION; ISCHEMIC HEART DISEASE; MAJOR CLINICAL STUDY; MALE; PREDICTION; PULSE WAVE; SYSTOLIC BLOOD PRESSURE; TRIACYLGLYCEROL BLOOD LEVEL;

AGED; ATHEROSCLEROSIS; BIOLOGICAL MARKERS; C-REACTIVE PROTEIN; COHORT STUDIES; CORONARY DISEASE; FEMALE; HUMANS; INFLAMMATION; INTERLEUKIN-6; MALE; RISK FACTORS; TUMOR NECROSIS FACTOR-ALPHA;

ANGINA;

EID: 77249099782     PISSN: 00029262     EISSN: 14766256     Source Type: Journal    
DOI: 10.1093/aje/kwp428     Document Type: Article

References (35)

1. Ridker PM, Hennekens CH, Buring JE, et al. C-reactive protein and other markers of inflammation in the prediction of cardiovascular disease in women. N Engl J Med. 2000; 342(12):836-843.
2. Ridker PM, Rifai N, Stampfer MJ, et al. Plasma concentration of interleukin-6 and the risk of future myocardial infarction among apparently healthy men. Circulation. 2000;101(15): 1767-1772.
3. O'Hare AM, Katz R, Shlipak MG, et al. Mortality and cardiovascular risk across the ankle-arm index spectrum: results from the Cardiovascular Health Study. Circulation. 2006; 113(3):388-393.
4. Wang TJ, Gona P, Larson MG, et al. Multiple biomarkers for the prediction of first major cardiovascular events and death. N Engl J Med. 2006;355(25):2631-2639.
5. Folsom AR, Chambless LE, Ballantyne CM, et al. An assessment of incremental coronary risk prediction using C-reactive protein and other novel risk markers: the Atherosclerosis Risk in Communities Study. Arch Intern Med. 2006; 166(13):1368-1373.
6. Redberg RF, Vogel RA, Criqui MH, et al. 34th Bethesda Conference: Task Force #3-what is the spectrum of current and emerging techniques for the noninvasive measurement of atherosclerosis? J Am Coll Cardiol. 2003;41(11):1886-1898.
7. Smith SC Jr, Greenland P, Grundy SM. Prevention conference V. Beyond secondary prevention: identifying the high-risk patient for primary prevention: executive summary. Circulation. 2000;101(1):111-116.
8. Cao JJ, Arnold AM, Manolio TA, et al. Association of carotid artery intima-media thickness, plaques, and C-reactive protein with future cardiovascular disease and all-cause mortality: the Cardiovascular Health Study. Circulation. 2007;116(1): 32-38.
9. Pencina MJ, D'Agostino RB Sr, D'Agostino RB Jr, 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(2):157-172.
10. Ingelsson E, Schaefer EJ, Contois JH, et al. Clinical utility of different lipid measures for prediction of coronary heart disease in men and women. JAMA. 2007;298(7):776-785.
11. D'Agostino RB Sr, Grundy S, Sullivan LM, et al. Validation of the Framingham coronary heart disease prediction scores: results of a multiple ethnic groups investigation. JAMA. 2001; 286(2):180-187.
12. 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(2): 210-215.
13. Yaffe K, Kanaya A, Lindquist K, et al. The metabolic syndrome, inflammation, and risk of cognitive decline. JAMA. 2004;292(18):2237-2242.
14. Rodondi N, Newman AB, Vittinghoff E, et al. Subclinical hypothyroidism and the risk of heart failure, other cardiovascular events, and death. Arch Intern Med. 2005;165(21): 2460-2466.
15. Cesari M, Penninx BW, Newman AB, et al. Inflammatory markers and onset of cardiovascular events: results from the Health ABC Study. Circulation. 2003;108(19):2317-2322. (Pubitemid 37413536)
16. Sutton-Tyrrell K, Najjar SS, Boudreau RM, et al. Elevated aortic pulse wave velocity, a marker of arterial stiffness, predicts cardiovascular events in well-functioning older adults. Circulation. 2005;111(25):3384-3390.
17. Sutton-Tyrrell K, Venkitachalam L, Kanaya AM, et al. Relationship of ankle blood pressures to cardiovascular events in older adults. Stroke. 2008;39(3):863-869.
18. National Cholesterol Education Program. 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 2001, 285; 19:2486-2497.
19. Lee CD, Folsom AR, Pankow JS, et al. Cardiovascular events in diabetic and nondiabetic adults with or without history of myocardial infarction. Circulation. 2004;109(7): 855-860.
20. Pearson TA, Mensah GA, Alexander RW, et al. Markers of inflammation and cardiovascular disease: application to clinical and public health practice: a statement for healthcare professionals from the Centers for Disease Control and Prevention and the American Heart Association. Circulation. 2003;107(3):499-511.
21. Resnick HE, Lindsay RS, McDermott MM, et al. Relationship of high and low ankle brachial index to all-cause and cardiovascular disease mortality: the Strong Heart Study. Circulation. 2004;109(6):733-739.
22. Hlatky MA, Greenland P, Arnett DK, et al. Criteria for evaluation of novel markers of cardiovascular risk: a scientific statement from the American Heart Association. Circulation. 2009;119(17):2408-2416.
23. Harrell FE Jr, Lee KL, Mark DB. Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Stat Med. 1996;15(4):361-387.
24. Cook NR, Buring JE, Ridker PM. The effect of including C-reactive protein in cardiovascular risk prediction models for women. Ann Intern Med. 2006;145(1):21-29.
25. Parzen M, Lipsitz SR. A global goodness-of-fit statistic for Cox regression models. Biometrics. 1999;55(2):580-584.
26. Cook NR. Comments on 'Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond' by M. J. Pencina et al., Statistics in Medicine (DOI: 10.1002/sim.2929). Stat Med. 2008;27(2): 191-195.
27. Simon A, Mijiti W, Gariepy J, et al. Current possibilities for detecting high risk of cardiovascular disease. Int J Cardiol. 2006;110(2):146-152.
28. Koukkunen H, Penttilä K, Kemppainen A, et al. C-reactive protein, fibrinogen, interleukin-6 and tumour necrosis factor-alpha in the prognostic classification of unstable angina pec-toris. Ann Med. 2001;33(1):37-47.
29. Fowkes FG, Murray GD, Butcher I, et al. Ankle brachial index combined with Framingham Risk Score to predict cardiovascular events and mortality: a meta-analysis. JAMA. 2008; 300(2):197-208.
30. Zethelius B, Berglund L, Sundström J, et al. Use of multiple biomarkers to improve the prediction of death from cardiovascular causes. N Engl J Med. 2008;358(20):2107-2116.
31. Cushman M, Arnold AM, Psaty BM, et al. C-reactive protein and the 10-year incidence of coronary heart disease in older men and women: the Cardiovascular Health Study. Circulation. 2005;112(1):25-31.
32. Janes H, Pepe MS, Gu W. Assessing the value of risk predictions by using risk stratification tables. Ann Intern Med. 2008; 149(10):751-760.
33. Cook NR. Use and misuse of the receiver operating characteristic curve in risk prediction. Circulation. 2007;115(7):928-935.
34. Psaty BM, Anderson M, Kronmal RA, et al. The association between lipid levels and the risks of incident myocardial infarction, stroke, and total mortality: the Cardiovascular Health Study. J Am Geriatr Soc. 2004;52(10):1639-1647.
35. Yudkin JS, Kumari M, Humphries SE, et al. Inflammation, obesity, stress and coronary heart disease: is interleukin-6 the link? Atherosclerosis. 2000;148(2):209-214.