4.7 Article

Lipid-Related Markers and Cardiovascular Disease Prediction

Journal

JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
Volume 307, Issue 23, Pages 2499-2506

Publisher

AMER MEDICAL ASSOC
DOI: 10.1001/jama.2012.6571

Keywords

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Funding

  1. British Heart Foundation
  2. European Union
  3. Lead-up Medical Network
  4. Merck Sharp and Dohme
  5. John Wiley Son
  6. Elsevier (France)
  7. Medical Research Council
  8. UK National Institute of Health Research
  9. Cambridge Biomedical Research Centre
  10. Roche
  11. GlaxoSmithKline
  12. National Institute of Health
  13. Wellcome Trust
  14. Abbott
  15. Amarin
  16. AstraZeneca
  17. Bristol-Myers Squibb
  18. Gentech
  19. Kowa
  20. Merck
  21. Novartis
  22. Sanofi-Synthelabo
  23. Takeda
  24. National Institutes of Health
  25. American Diabetes Association
  26. American Heart Association
  27. Adnexus
  28. Amylin
  29. Esperion
  30. Genetech
  31. Idera Pharma, Kowa
  32. Omthera
  33. Pfizer
  34. Resverlogix
  35. Medtronic
  36. Vascular Bio-genics
  37. ISIS Inc
  38. Genzyme
  39. Else Kroner Fresenius Foundation
  40. Vifor Company
  41. Federal Ministry of Education and Research
  42. Boehringer Ingelheim
  43. Cerenis
  44. BioInvet
  45. National Heart, Lung, and Blood Institute
  46. National Institute of Diabetes and Digestive and Kidney Diseases
  47. Canadian Institutes Health Research
  48. Heart and Stroke of Canada
  49. Netherlands Prevention Foundation
  50. Swedish Research Council
  51. Swedish Heart and Lung Foundation
  52. BUPA Foundation
  53. Denka
  54. diaDexus
  55. European Research Council
  56. Evelyn Trust
  57. Fogarty International Centre
  58. UK Biobank
  59. MRC [G0501792, G0601284, G0701619, MC_U137686857, G0701863, MC_U105260792, G0902037] Funding Source: UKRI
  60. British Heart Foundation [RG/08/014/24067, RG/07/008/23674, RG/08/013/25942] Funding Source: researchfish
  61. Medical Research Council [G0401527, G8802774, G0701619, MC_U106179471, G0902037, MC_U105260792, MC_U137686857, G1000143, G0701863, G0601284, G0501792, G0100222, G19/35] Funding Source: researchfish

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Context The value of assessing various emerging lipid-related markers for prediction of first cardiovascular events is debated. Objective To determine whether adding information on apolipoprotein B and apolipoprotein A-I, lipoprotein(a), or lipoprotein-associated phospholipase A(2) to total cholesterol and high-density lipoprotein cholesterol (HDL-C) improves cardiovascular disease (CVD) risk prediction. Design, Setting, and Participants Individual records were available for 165 544 participants without baseline CVD in 37 prospective cohorts (calendar years of recruitment: 1968-2007) with up to 15 126 incident fatal or nonfatal CVD outcomes (10 132 CHD and 4994 stroke outcomes) during a median follow-up of 10.4 years (interquartile range, 7.6-14 years). Main Outcome Measures Discrimination of CVD outcomes and reclassification of participants across predicted 10-year risk categories of low (<10%), intermediate (10%-<20%), and high (>= 20%) risk. Results The addition of information on various lipid-related markers to total cholesterol, HDL-C, and other conventional risk factors yielded improvement in the model's discrimination: C-index change, 0.0006 (95% CI, 0.0002-0.0009) for the combination of apolipoprotein B and A-I; 0.0016 (95% CI, 0.0009-0.0023) for lipoprotein(a); and 0.0018 (95% CI, 0.0010-0.0026) for lipoprotein-associated phospholipase A(2) mass. Net reclassification improvements were less than 1% with the addition of each of these markers to risk scores containing conventional risk factors. We estimated that for 100 000 adults aged 40 years or older, 15 436 would be initially classified at intermediate risk using conventional risk factors alone. Additional testing with a combination of apolipoprotein B and A-I would reclassify 1.1%; lipoprotein(a), 4.1%; and lipoprotein-associated phospholipase A(2) mass, 2.7% of people to a 20% or higher predicted CVD risk category and, therefore, in need of statin treatment under Adult Treatment Panel III guidelines. Conclusion In a study of individuals without known CVD, the addition of information on the combination of apolipoprotein B and A-I, lipoprotein(a), or lipoprotein-associated phospholipase A(2) mass to risk scores containing total cholesterol and HDL-C led to slight improvement in CVD prediction. JAMA. 2012; 307(23):2499-2506 www.jama.com

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