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Carotid Intima-Media Thickness and Presence or Absence of Plaque Improves Prediction of Coronary Heart Disease Risk

Open access
Nambi, Vijay, Chambless, Lloyd, Folsom, Aaron R., He, Max, Hu, Yijuan, Mosley, Tom, Volcik, Kelly, Boerwinkle, Eric, Ballantyne, Christie M.·2010·Journal of the American College of Cardiology

Abstract

STRUCTURED ABSTRACT Objectives We evaluated whether carotid intima-media thickness (C-IMT) and the presence or absence of plaque improved coronary heart disease (CHD) risk prediction when added to traditional risk factors (TRF). Background Traditional CHD risk prediction schemes need further improvement as the majority of the CHD events occur in the “low” and “intermediate” risk groups. C-IMT and presence of plaque on an ultrasound are associated with CHD and therefore could potentially help improve CHD risk prediction. Methods Risk prediction models (overall, in men and women) considered included TRF-only, TRF+C-IMT, TRF+plaque, and TRF+C-IMT+ plaque. Model predictivity was determined by calculating the area under the receiver operating characteristic curve (AUC) adjusted for optimism. Cox-proportional hazards models were used to estimate 10-year CHD risk for each model, and the number of individuals reclassified determined. Observed events were compared with expected events; and, the net reclassification index (NRI) was calculated. Results Of 13,145 eligible individuals (5,682 men; 7,463 women), ~23% were reclassified by adding C-IMT+plaque information. Overall, the addition of C-IMT and plaque separately or together to the TRF model improved the AUC which increased from 0.742 to 0.750, 0.751 and 0.755 for the TRF-only, TRF+C-IMT, TRF+plaque and TRF+C-IMT+plaque model respectively. The C-IMT+TRF+plaque model had a NRI of 9.9% when compared to TRF-only in the overall population. However, comparison of TRF+C-IMT+plaque with TRF+C-IMT or TRF+plaque only resulted in non-significant or modestly significant changes of the various statistical tests. Sex-specific analyses are presented in the manuscript. Conclusion Adding plaque and C-IMT to TRF improves CHD risk prediction in the ARIC study.

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Research works printed but not linked: 27

  1. Ridker, 2007, Development and validation of improved algorithms for the assessment of global cardiovascular risk in women: the Reynolds Risk Score, JAMA, 297, 611, 10.1001/jama.297.6.611 · DOI · Paper page
  2. del Sol, 2001, Is carotid intima-media thickness useful in cardiovascular disease risk assessment?, Stroke, 32, 1532, 10.1161/01.STR.32.7.1532 · DOI · Paper page
  3. Chambless, 2003, Coronary heart disease risk prediction in the Atherosclerosis Risk in Communities (ARIC) study, J Clin Epidemiol, 56, 880, 10.1016/S0895-4356(03)00055-6 · DOI · Paper page
  4. Brautbar, 2009, Impact of adding a single allele in the 9p21 locus to traditional risk factors on reclassification of coronary heart disease risk and implications for lipid-modifying therapy in the Atherosclerosis Risk in Communities study, Circ Cardiovasc Genetics, 2, 279, 10.1161/CIRCGENETICS.108.817338 · DOI
  5. Folsom, 2008, Coronary artery calcification compared with carotid intima-media thickness in the prediction of cardiovascular disease incidence: the Multi-Ethnic Study of Atherosclerosis (MESA), Arch Intern Med, 168, 1333, 10.1001/archinte.168.12.1333 · DOI · Paper page
  6. Taylor, 2002, ARBITER: Arterial Biology for the Investigation of the Treatment Effects of Reducing Cholesterol, Circulation, 106, 2055, 10.1161/01.CIR.0000034508.55617.65 · DOI · Paper page
  7. Lloyd-Jones, 2006, Predicting cardiovascular risk: so what do we do now?, Arch Intern Med, 166, 1342, 10.1001/archinte.166.13.1342 · DOI
  8. Hunt, 2001, Acoustic shadowing on B-mode ultrasound of the carotid artery predicts CHD, Ultrasound Med Biol, 27, 357, 10.1016/S0301-5629(00)00353-7 · DOI
  9. Hlatky, 2009, Criteria for evaluation of novel markers of cardiovascular risk: a scientific statement from the American Heart Association, Circulation, 119, 2408, 10.1161/CIRCULATIONAHA.109.192278 · DOI · Paper page
  10. 1989, The Atherosclerosis Risk in Communities (ARIC) Study: design and objectives, Am J Epidemiol, 129, 687, 10.1093/oxfordjournals.aje.a115184 · DOI · Paper page
  11. Li, 1996, Reproducibility of extracranial carotid atherosclerotic lesions assessed by B-mode ultrasound: the Atherosclerosis Risk in Communities Study, Ultrasound Med Biol, 22, 791, 10.1016/0301-5629(96)00084-1 · DOI
  12. Li, 1994, B-mode-detected carotid artery plaque in a general population, Stroke, 25, 2377, 10.1161/01.STR.25.12.2377 · DOI · Paper page
  13. 1991, High-resolution B-mode ultrasound scanning methods in the Atherosclerosis Risk in Communities (ARIC) study, J Neuroimaging, 1, 68, 10.1111/jon19911268 · DOI · Paper page
  14. Chambless, 1996, Variability in B-mode ultrasound measurements in the Atherosclerosis Risk In Communities (ARIC) study, Ultrasound Med Biol, 22, 545, 10.1016/0301-5629(96)00039-7 · DOI
  15. White, 1996, Community surveillance of coronary heart disease in the Atherosclerosis Risk In Communities (ARIC) study: methods and initial two years' experience, J Clin Epidemiol, 49, 223, 10.1016/0895-4356(95)00041-0 · DOI · Paper page
  16. Chambless, 2006, Estimation of time-dependent area under the ROC curve for long-term risk prediction, Stat Med, 25, 3474, 10.1002/sim.2299 · DOI · Paper page
  17. Harrell, 1996, Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors, Stat Med, 15, 361, 10.1002/(SICI)1097-0258(19960229)15:4<361::AID-SIM168>3.0.CO;2-4 · doi:10.1002/(sici)1097-0258(19960229)15:4<361::aid-sim168>3.0.co;2-4
  18. Steyerberg, 2001, Internal validation of predictive models: efficiency of some procedures for logistic regression analysis, J Clin Epidemiol, 54, 774, 10.1016/S0895-4356(01)00341-9 · DOI · Paper page
  19. May, 1998, A simplified method of calculating an overall goodness-of-fit test for the Cox proportional hazards model, Lifetime Data Anal, 4, 109, 10.1023/A:1009612305785 · DOI
  20. Pencina, 2008, Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond, Stat Med, 27, 157, 10.1002/sim.2929 · DOI · Paper page
  21. Schlendorf, 2009, Limitations of the Framingham risk score are now much clearer, Prev Med, 48, 115, 10.1016/j.ypmed.2008.12.002 · DOI
  22. Newman, 2008, Coronary artery calcium, carotid artery wall thickness, and cardiovascular disease outcomes in adults 70 to 99 years old, Am J Cardiol, 101, 186, 10.1016/j.amjcard.2007.07.075 · DOI
  23. Lester, 2009, Carotid intima-media thickness and coronary artery calcium score as indications of subclinical atherosclerosis, Mayo Clin Proc, 84, 229, 10.4065/84.3.229 · DOI
  24. 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, 10.1001/jama.285.19.2486 · DOI · Paper page
  25. Pasternak, 2003, 34th Bethesda Conference, Task Force 1, J Am Coll Cardiol, 41, 1863, 10.1016/S0735-1097(03)00358-9 · DOI · Paper page
  26. Nambi, 2009, “Risky business”: ten years is not a lifetime, Circulation, 119, 362, 10.1161/CIRCULATIONAHA.108.830281 · DOI
  27. Berry, 2009, Circulation, 119, 382, 10.1161/CIRCULATIONAHA.108.800235 · DOI · Paper page

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Metadata

Authors
Nambi, V., Chambless, L., Folsom, A. R., He, M., Hu, Y., Mosley, T., Volcik, K., Boerwinkle, E., & Ballantyne, C. M.
Venue
Journal of the American College of Cardiology
Publisher
Elsevier BV
Published
2010-04
Volume
55
Issue
15
Pages
1600-1607
ISSN
0735-1097 (ISSN-L)
OpenAlex
W1966886574
Cited by
919
References
3
FWCI
50.69
Type
journal article
Language
en
Open access
bronze
Licence
Funders
  • National Heart, Lung, and Blood Institute (N01-HC-55015, N01-HC-55016, N01-HC-55018, N01-HC-55019, N01-HC-55020, N01-HC-55021, N01-HC-55022)
  • Abbott
  • ActivBiotics
  • AstraZeneca
  • Gene Logic
  • GlaxoSmithKline
  • Integrated Therapeutics
  • Merck
  • Pfizer
  • Schering-Plough
  • Sanofi-Synthelabo
  • Takeda

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CoChat. (2026). Citation check: Carotid Intima-Media Thickness and Presence or Absence of Plaque Improves Prediction of Coronary Heart Disease Risk. https://app.cochat.ai/papers/10.1016/j.jacc.2009.11.075
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Nambi, V., Chambless, L., Folsom, A. R., He, M., Hu, Y., Mosley, T., Volcik, K., Boerwinkle, E., & Ballantyne, C. M. (2010). Carotid Intima-Media Thickness and Presence or Absence of Plaque Improves Prediction of Coronary Heart Disease Risk. Journal of the American College of Cardiology. https://doi.org/10.1016/j.jacc.2009.11.075

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