4.7 Article

Association of Mortality With Years of Education in Patients With ST-Segment Elevation Myocardial Infarction Treated With Fibrinolysis

Journal

JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
Volume 57, Issue 2, Pages 138-146

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.jacc.2010.09.021

Keywords

acute myocardial infarction; fibrinolysis; outcomes; socioeconomic status

Funding

  1. Duke Clinical Research Institute, Durham, North Carolina
  2. Astellas Pharma US
  3. AstraZeneca
  4. Boehringer Ingelheim
  5. Bristol-Myers Squibb
  6. GlaxoSmithKline
  7. Lilly
  8. Medtronic Vascular Inc.
  9. Merck Co.
  10. Sanofi-Aventis
  11. Medicines Co.
  12. Hoffmann-La Roche
  13. Novartis Pharmaceutical Co.
  14. Otsuka Pharmaceuticals
  15. Sanofi-Avenits
  16. Eli Lilly
  17. NIH
  18. Pfizer
  19. Roche
  20. Johnson Johnson
  21. Schering-Plough
  22. Merck Sharpe Dohme
  23. Daiichi Sankyo Pharma Development
  24. Bristol-Squibb
  25. Regado Biosciences
  26. JJ-Scios
  27. Merck
  28. Novartis
  29. Annenberg
  30. Aterovax
  31. Bayer/Ortho McNeil
  32. WebMD
  33. Kowa Research Institute
  34. McKinsey Co.
  35. Medtronic
  36. CV Therapeutics
  37. Daiichi Sankyo
  38. Datascope
  39. Eli Lilly Co.
  40. Medcines Co.
  41. Abiomed
  42. Gilead Sciences
  43. Liposcience
  44. Northpoint Domain
  45. Pozen Inc.
  46. Response Biomedical
  47. WedMD

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Objectives The purpose of this study was to examine the association between lower socioeconomic status (SES), as ascertained by years of education, and outcomes in patients with acute ST-segment elevation myocardial infarction (STEMI). Background Previous studies have shown an inverse relationship between SES and coronary heart disease and mortality. Whether a similar association between SES and mortality exists in STEMI patients is unknown. Methods We evaluated 11,326 patients with STEMI in the GUSTO-III (Global Use of Strategies to Open Occluded Coronary Arteries) trial study from countries that enrolled >500 patients. We evaluated clinical outcomes (adjusted using multivariate regression analysis) according to the number of years of education completed. Results One-year mortality was inversely related to years of education and was 5-fold higher in patients with <8 years compared with those with >16 years of education (17.5% vs. 3.5%, p < 0.0001). The strength of the relationship between education and mortality varied among different countries. Nonetheless, years of education remained an independent correlate of mortality at day 7 (hazard ratio per year of increase in education: 0.86; 95% confidence interval: 0.83 to 0.88) and also between day 8 and 1 year (hazard ratio per year of increase in education: 0.96; 95% confidence interval: 0.94 to 0.98), even after adjustment for baseline characteristics and country of enrollment. Conclusions When the number of years of education was used as a measure of SES, there was an inverse relationship such that significantly higher short-term and 1-year mortality existed beyond that accounted for by baseline clinical variables and country of enrollment. Future studies should account for and investigate the mechanisms underlying this link between SES and cardiovascular disease outcomes. (J Am Coll Cardiol 2011;57:138-46) (C) 2011 by the American College of Cardiology Foundation

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