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Quality-of-Life Issues for Women With Coronary Disease

  • Chapter
Coronary Disease in Women

Part of the book series: Contemporary Cardiology ((CONCARD))

Abstract

Coronary artery disease (CAD) is a chronic condition without a cure. The fundamental goals in treating patients with coronary disease are to maximize their survival duration and to optimize the quality of that survival. Thus, a principal goal in treating patients with heart disease is to alleviate symptoms, improve function, and maximize quality of life. The ways in which a disease manifests itself to patients (i.e., their symptoms, function, and quality of life) is collectively referred to as health status.

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References

  1. Fleming TR, DeMets DL. Surrogate end points in clinical trials: Are we being misled? Ann Intern Med 1996; 125: 605–613.

    PubMed  CAS  Google Scholar 

  2. Spertus J. Selecting end points in clinical trials: What evidence do we really need to evaluate a new treatment? Am Heart J 2001; 142: 745–747.

    Article  PubMed  CAS  Google Scholar 

  3. The Criteria Committee of the New York Heart Association. Nomenclature and Criteria for Diagnosis. 9th ed. Little, Brown, Boston, MA: 1994.

    Google Scholar 

  4. Compeau L. Grading of angina pectoris. Circulation 1975; 54: 522–523.

    Google Scholar 

  5. Guyatt GH, Feeny DH, Patrick DL. Measuring health-related quality of life. Ann Intern Med 1993; 118: 622–629.

    PubMed  CAS  Google Scholar 

  6. Guyatt G, Haynes RB, Jaeschke RZ, et al. Users’ guides to the medical literature XII. How to use articles about health-related quality of life. J Am Med Assoc 1997; 277: 1232–1237.

    Article  CAS  Google Scholar 

  7. Lee P, Alexander KP, Hammill BG, et al. Representation of elderly persons and women in published randomized trials of acute coronary syndromes. JAMA 2001; 286: 708–713.

    Article  PubMed  CAS  Google Scholar 

  8. Merz CN, Kelsey SF, Pepine CJ, et al. The Women’s Ischemia Syndrome Evaluation (WISE) study: protocol design, methodology and feasibility report. J Am Coll Cardiol 1999; 33: 1453–1461.

    Article  PubMed  CAS  Google Scholar 

  9. Gill TM, Feinstein AR. A critical appraisal of the quality of quality-of-life measurements. JAMA 1994; 272: 619–626.

    Article  PubMed  CAS  Google Scholar 

  10. Wilson IB, Cleary PD. Linking clinical variables with health-related quality of life. A conceptual model of patient outcomes. JAMA 1995; 273: 59–65.

    Article  PubMed  CAS  Google Scholar 

  11. Swenson J, Clinch J. Assessment of quality of life in patients with cardiac disease: the role of psychosomatic medicine. J Psychosom Res 2000; 48: 405–415.

    Article  PubMed  CAS  Google Scholar 

  12. Fayers P, Bjordal K. Should quality-of-life needs influence resource allocation? Lancet 2001; 357: 978.

    Article  PubMed  CAS  Google Scholar 

  13. Spertus JA, McDonell M, Woodman CL, Fihn SD. Association between depression and worse disease-specific functional status in outpatients with coronary artery disease. Am Heart J 2000; 140: 105–110.

    Article  PubMed  CAS  Google Scholar 

  14. Ford DE, Mead LA, Chang PP, et al. Depression is a risk factor for coronary artery disease in men: the precursors study. Arch Intern Med 1998; 158: 1422–1426.

    Article  PubMed  CAS  Google Scholar 

  15. Ariyo AA, Haan M, Taugen CM, et al. Depressive symptoms and risks of coronary heart disease and mortality in elderly Americans. Cardiovascular Health Study Collaborative Research Group. Circulation 2000; 102: 1773–1779.

    Article  PubMed  CAS  Google Scholar 

  16. Testa MA, Simonson DC. Assessment of Quality of Life Outcomes. N Engl J Med 1996; 334: 835–840.

    Article  PubMed  CAS  Google Scholar 

  17. Patrick D, Deyo R. Generic and disease-specific measures in assessing health status and quality of life. Med Care 1989; 27: 5217–S232.

    Article  Google Scholar 

  18. Dempster M, Donnelly M. Measuring the health related quality of life of people with ischaemic heart disease. Heart 2000; 83: 641–644.

    Article  PubMed  CAS  Google Scholar 

  19. Stewart A, Hays R, Ware J. The MOS short form general health survey: reliability and validity in a patient population. Med Care 1988; 26: 724–735.

    Article  PubMed  CAS  Google Scholar 

  20. Bergner M, Bobbitt RA, Carter WS, Glson BS. The Sickness Impact Profile: development and final revision of a health status measure. Med Care 1981; 19: 787–805.

    Article  PubMed  CAS  Google Scholar 

  21. Hlatky M, Boineau RE, Higginbotham MB, et al. A brief self-administered questionnaire to determine functional capacity (the Duke Activity Status Index). Am J Cardiol 1989; 64: 651–654.

    Article  PubMed  CAS  Google Scholar 

  22. Spertus J, Winder JA, Dewhurst TA, et al. Monitoring the quality of life in patients with coronary artery disease. Am J Cardiol 1994; 74: 1240–1244.

    Article  PubMed  CAS  Google Scholar 

  23. Green C, Porter CB, BresnahanDR, Spertus JA. Development and evaluation of the Kansas City Cardiomyopathy Questionnaire: a new health status measure for heart failure. J Am Coll Cardiol 2000; 35: 1245–1255.

    Article  PubMed  CAS  Google Scholar 

  24. Spertus J, Winder JA, Dewhurst TA, et al. Development and evaluation of the Seattle Angina Questionnaire: a new functional status measure for coronary artery disease. J Am Coll Cardiol 1995; 25: 333–341.

    Article  PubMed  CAS  Google Scholar 

  25. Torrance GW. Utility approach to measuring health-related quality of life. J Chronic Dis 1987; 40: 593–603.

    Article  PubMed  CAS  Google Scholar 

  26. Von Neumann J, Morgenstern O. Theory of Games and Economic Behaviour. Princeton University Press, Princeton, NJ: 1994.

    Google Scholar 

  27. Wu G. The strengths and limitations of expected utility theory. Med Decis Making 1996; 16: 9–10.

    Article  PubMed  CAS  Google Scholar 

  28. Torrance GW. Measurement of health state utilities for economic appraisal: A review. J Health Econ 1986; 5: 1–30.

    Article  PubMed  CAS  Google Scholar 

  29. Douard J. Is risk neutrality rational? Med Decis Making 1996; 16: 10–11.

    Article  PubMed  CAS  Google Scholar 

  30. Cohen BJ. Reply: Utilitarianism, risk aversion, and expected utility. Med Decis Making 1996; 16: 14.

    Article  Google Scholar 

  31. Cohen BJ. Is expected utility theory mornative for medical decision making? Med Decis Making 1996; 16: 1–6.

    Article  PubMed  CAS  Google Scholar 

  32. Baron J. Why expected utility theory is normative, but not prescriptive. Med Decis Making 1996; 16: 7–9.

    Article  PubMed  CAS  Google Scholar 

  33. Eeckhoudt L. Expected utility theory-Is it normative or simply “practical”? Med Decis Making 1996; 16: 12–13.

    Article  PubMed  CAS  Google Scholar 

  34. Torrance GW, Furlons W, Feeny D, Boyle M. Multi-attribute preference functions. Health utilities index. Pharmacoeconomics 1995; 7: 503–520.

    Article  PubMed  CAS  Google Scholar 

  35. Feeny D, Furlons W, Boyle M, Torrance GW. Multi-attribute health status classification systems: Health utilities index. Pharmaco economics 1995; 7: 490–502.

    Article  CAS  Google Scholar 

  36. Kind P. The EuroQoL instrument: An index of health-related quality of life. In: Spilker B. (ed.). Quality of Life and Pharnacoeconomis in Clinical Trials. Lippincott-Raven, Philadelphia, PA: 1996, pp. 191–201.

    Google Scholar 

  37. Nunnally JC, Bernstein IH. Psychometric Theory. 3rd ed. McGraw-Hill, New York, NY: 1994, p. 752.

    Google Scholar 

  38. Deyo RA, Diehr P, Patrick DL. Reproducibility and responsiveness of health status measures. Statistics and strategies for evaluation. Control Clin Trials 1991; 12 (4 Suppl): 142S–158S.

    CAS  Google Scholar 

  39. Bombardier C, Raboud J. A comparison of health-related quality-of-life measures for rheumatoid arthritis research. The Auranofin Cooperating Group. Control Clin Trials 1991; 12 (4 Suppl): 2435–256S.

    Google Scholar 

  40. Deyo RA, Centor RM. Assessing the responsiveness of functional scales to clinical change: an analogy to diagnostic test performance. J Chronic Dis 1986; 39: 897–906.

    Article  PubMed  CAS  Google Scholar 

  41. Katz JN, Laisou MG, Phillips CB, et al. Comparative measurement sensitivity of short and longer health status instruments. Med Care 1992; 30: 917–925.

    Article  PubMed  CAS  Google Scholar 

  42. Wyrwich KW, Nienaber NA, Tierney WM, Wolinsky FD. Linking clinical relevance and statistical significance in evaluating intra-individual changes in health-related quality of life. Med Care 1999; 37: 469–478.

    Article  PubMed  CAS  Google Scholar 

  43. Guyatt GH, Osoba D, Wu AW, et al. Methods to explain the clinical significance of health status measures. Mayo Clin Proc 2002; 77: 371–383.

    Article  PubMed  Google Scholar 

  44. Guyatt GH, Kirshner B, Jaeschke R. Measuring health status: what are the necessary measurement properties? J Clin Epidemiol 1992; 45: 1341–1345.

    Article  PubMed  CAS  Google Scholar 

  45. Guyatt G, Walter S, Norman G. Measuring change over time: assessing the usefulness of evaluative instruments. J Chronic Dis 1987; 40: 171–178.

    Article  PubMed  CAS  Google Scholar 

  46. Ware J, Jr., Kosinski M, Keller SD. A 12-Item Short-Form Health Survey: construction of scales and preliminary tests of reliability and validity. Med Care 1996; 34: 220–233.

    Article  PubMed  Google Scholar 

  47. Spertus JA, Jones P, McDonell M, et al. Health status predicts long-term outcome in outpatients with coronary disease. Circulation 2002; 106 (1): 43–49.

    Article  PubMed  Google Scholar 

  48. Silberberg J. Better coronary risk assessment in women. Lancet 1999; 353: 1637–1638.

    Article  PubMed  CAS  Google Scholar 

  49. King KM. Gender and short-term recovery from cardiac surgery. Nurs Res 2000; 49: 29–36.

    Article  PubMed  CAS  Google Scholar 

  50. Hallman T, Burell G, Setterlind S, et al. Psychosocial risk factors for coronary heart disease, their importance compared with other risk factors and gender differences in sensitivity. J Cardiovasc Risk 2001; 8: 39–49.

    Article  PubMed  CAS  Google Scholar 

  51. Allen J, Markovitz J, Jacobs DR Jr, Knox SS. Social support and health behavior in hostile black and white men and women in CARDIA. Coronary Artery Risk Development in Young Adults. Psychosom Med 2001; 63: 609–618.

    PubMed  CAS  Google Scholar 

  52. Mendes de Leon CF, Pilillo V, Czajkowski S, et al. Psychosocial characteristics after acute myocardial infarction: the ENRICHD pilot study. Enhancing Recovery in Coronary Heart Disease. J Cardiopulm Rehabil 2001; 21: 353–362.

    Article  Google Scholar 

  53. Panagiotakos DB, Pitsavos C, Chrysohoou C, et al. Risk stratification of coronary heart disease through established and emerging lifestyle factors in a Mediterranean population: CARDIO2000 epidemiological study. J Cardiovasc Risk 2001; 8: 329–335.

    Article  PubMed  CAS  Google Scholar 

  54. Eaker ED. Psychosocial factors in the epidemiology of coronary heart disease in women. Psychiatr Clin North Am 1989; 12: 167–173.

    PubMed  CAS  Google Scholar 

  55. Brezinka V, Kittel F. Psychosocial factors of coronary heart disease in women: a review. Soc Sci Med 1996; 42: 1351–1365.

    Article  PubMed  CAS  Google Scholar 

  56. Con AH, Linden W, Thompson JM, Ignaszewski A. The psychology of men and women recovering from coronary artery bypass surgery. J Cardiopulm Rehabil 1999; 19: 152–161.

    Article  PubMed  CAS  Google Scholar 

  57. King KM, Koop PM. The influence of the cardiac surgery patient’s sex and age on care-giving received. Soc Sci Med 1999; 48: 1735–1742.

    Article  PubMed  CAS  Google Scholar 

  58. Barefoot JC, Brummett BH, Clapp-Channing NE, et al. Moderators of the effect of social support on depressive symptoms in cardiac patients. Am J Cardiol 2000; 86: 438–442.

    Article  PubMed  CAS  Google Scholar 

  59. Ancona C, Agabiti N, Forastiere F, et al. Coronary artery bypass graft surgery: socioeconomic inequalities in access and in 30 day mortality. A population-based study in Rome, Italy. J Epidemiol Community Health 2000; 54: 930–935.

    Article  PubMed  CAS  Google Scholar 

  60. Andersson P, Leppert J. Men of low socio-economic and educational level possess pronounced deficient knowledge about the risk factors related to coronary heart disease. J Cardiovasc Risk 2001; 8: 371–377.

    Article  PubMed  CAS  Google Scholar 

  61. Janz NK, Janevic MR, Dodge JA, et al. Factors influencing quality of life in older women with heart disease. Med Care 2001; 39: 588–598.

    Article  PubMed  CAS  Google Scholar 

  62. Goldberg R, Yarzebski J, Lessard D, Gore JM. A two-decades (1975–1995) Long experience in the incidence, in-hospital and long-term case-fatality rates of acute myocardial infarction: a community-wide perspective. J Am Coll Cardiol 1999; 33: 1533–1539.

    Article  PubMed  CAS  Google Scholar 

  63. Gurwitz J, Col N, Avorn J. The exclusion of the elderly and women from clinical trials in acute myocardial infarction. JAMA 1992; 268: 1417–1422.

    Article  PubMed  CAS  Google Scholar 

  64. Harris DJ, Douglas PS. Enrollment of women in cardiovascular clinical trials funded by the National Heart, Lung, and Blood Institute. N Engl J Med 2000; 343: 475–480.

    Article  Google Scholar 

  65. Flavell C. Women and coronary heart disease. Prog Cardiovasc Nurs 1994; 9: 18–27.

    PubMed  CAS  Google Scholar 

  66. Diamond G, Forrester J. Analysis of probability as an aid in the clinical diagnosis of coronary-artery disease. N Engl J Med 1979; 300: 1350–1358.

    Article  PubMed  CAS  Google Scholar 

  67. Kim C, Kwok YS, Saha L, Pedberg RF. Diagnosis of suspected coronary artery disease in women: A cost-effectiveness analysis. Am Heart J 1999; 137: 1019–1027.

    Article  PubMed  CAS  Google Scholar 

  68. Merz N, Johnson BD, Kelsey PSF, et al. Diagnostic, prognostic, and cost assessment of coronary artery disease in women. Am J Manag Care 2001; 7: 959–965.

    PubMed  CAS  Google Scholar 

  69. Kemp H, Elliott W, Gorlin R. The anginal syndrome with normal coronary arteriography. Trans Assoc Am Physicians 1967; 80: 59–70.

    PubMed  CAS  Google Scholar 

  70. Reis S, Holubkov R, Conrad Smith HJ, et al. Coronary microvascular dysfunction is highly prevalent in women with chest pain in the absence of coronary artery disease: Results from the NHLBI WISE study. Am Heart J 2001; 141: 735–741.

    Article  PubMed  CAS  Google Scholar 

  71. Herlitz J, Wiklund I, Sioland H, et al. Relief of symptoms and improvement of health-related quality of life five years after coronary artery bypass graft in women and men. Clin Cardiol 2001; 24: 385–392.

    Article  PubMed  CAS  Google Scholar 

  72. Vaccarino V, Lin ZQ, Kasl SV, et al. Gender differences in recovery after coronary artery bypass surgery. J Am Coll Cardiol 2003; 41 (2): 307–314.

    Article  PubMed  Google Scholar 

  73. Clarke S. Women’s health. Factors linking women and CHD. Nursing Times 1995; 91: 29–31.

    PubMed  CAS  Google Scholar 

  74. Rozanski A, Blumenthal J, Kaplan J. Impact of psychological factors on the pathogenesis of cardiovascular disease and implications for therapy. Circulation 1999; I01: E177–E178.

    Google Scholar 

  75. Rutledge T, Reis SE, Olsm M, et al. Psychosocial variables are associated with atherosclerosis risk factors among women with chest pain: the WISE study. Psychosom Med 2001; 63: 282–288.

    PubMed  CAS  Google Scholar 

  76. Haynes S, Feinleib M. Women, work and coronary heart disease: prospective findings from the Framingham heart study. Am J Public Health 1980; 70: 133–141.

    Article  PubMed  CAS  Google Scholar 

  77. Elliott S. Psychosocial stress, women and heart health: A critical review. Soc Sci Med 1995; 40: 105–115.

    Article  Google Scholar 

  78. Czajkowski SM, Ten-in M, Lindguist R, et al. Comparison of preoperative characteristics of men and women undergoing coronary artery bypass grafting (the Post Coronary Artery Bypass Graft [CABG) Biobehavioral Study). Am J Cardiol 1997; 79: 1017–1024.

    Article  PubMed  CAS  Google Scholar 

  79. US Public Health Service and Department. Women’s Health. Washington, DC: Author, 1996.

    Google Scholar 

  80. Evanoski C. Myocardial infarction, the number one killer of women. Crit Care Nurs Clin North Am 1997; 9: 489–496.

    PubMed  CAS  Google Scholar 

  81. Lerner D, Kannel W. Patterns of coronary heart disease morbidity and mortality in the sexes: a 26-year follow-up of the Framingham population. Am Heart J 1986; 111: 383–390.

    Article  PubMed  CAS  Google Scholar 

  82. Greenland P, Reicher-Reiss H, Goldbourt U, Behar S. In-hospital and 1-year mortality in 1,524 women after myocardial infarction. Comparison with 4,315 men. Circulation 1991; 83: 484–491.

    Article  PubMed  CAS  Google Scholar 

  83. Tofler G, Stone PH, Muller JE, et al. Effects of gender and race on prognosis after myocardial infarction: adverse prognosis for women, particularly black women. J Am Coll Cardiol 1987; 9: 473–482.

    Article  PubMed  CAS  Google Scholar 

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Authors
  1. John Spertus MD, MPH, FACC
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  2. Darcy Green Conaway MD
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Editors and Affiliations

  1. Outcomes Research, American Cardiovascular Research Institute, Atlanta, GA, USA

    Leslee J. Shaw PhD

  2. Division of Cardiology, University of California School of Medicine, San Francisco, CA, USA

    Rita F. Redberg MD, FACC

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Spertus, J., Conaway, D.G. (2004). Quality-of-Life Issues for Women With Coronary Disease. In: Shaw, L.J., Redberg, R.F. (eds) Coronary Disease in Women. Contemporary Cardiology. Humana Press, Totowa, NJ. https://doi.org/10.1007/978-1-59259-645-4_11

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  • DOI: https://doi.org/10.1007/978-1-59259-645-4_11

  • Publisher Name: Humana Press, Totowa, NJ

  • Print ISBN: 978-1-61737-275-9

  • Online ISBN: 978-1-59259-645-4

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