Journal of Cardiac Failure
Volume 14, Issue 5 , Pages 373-378 , June 2008

Race and the Natural History of Chronic Heart Failure: A Propensity-Matched Study

  • Giovanni Gambassi, MD

      Affiliations

    • Universita Cattolica del Sacro Cuore, Rome, Italy
  • ,
  • Syed Abbas Agha, MD

      Affiliations

    • Emory University, Atlanta, Georgia
  • ,
  • Xuemei Sui, MD, MPH

      Affiliations

    • University of South Carolina, Columbia, South Carolina
  • ,
  • Clyde W. Yancy, MD

      Affiliations

    • Baylor University Medical Center, Dallas, Texas
  • ,
  • Javed Butler, MD, MPH

      Affiliations

    • Emory University, Atlanta, Georgia
  • ,
  • Grigorios Giamouzis, MD, PhD

      Affiliations

    • Emory University, Atlanta, Georgia
    • Onassis Cardiac Surgery Center, Athens, Greece
  • ,
  • Thomas E. Love, PhD

      Affiliations

    • Case Western Reserve University, Cleveland, Ohio
  • ,
  • Ali Ahmed, MD, MPH

      Affiliations

    • University of Alabama at Birmingham
    • VA Medical Center, Birmingham, Alabama
    • Corresponding Author InformationReprint requests: Ali Ahmed, MD, MPH, University of Alabama at Birmingham, 1530 3rd Ave South, CH-19, Ste-219, Birmingham AL 35294-2041.

Received 6 December 2007 ,Revised 4 February 2008 ,Accepted 5 February 2008.

References 

  1. Yancy CW. Heart failure in blacks: etiologic and epidemiologic differences. Curr Cardiol Rep. 2001;3:191–197
  2. Yancy CW. The role of race in heart failure therapy. Curr Cardiol Rep. 2002;4:218–225
  3. Yancy CW. Heart failure in African Americans. Am J Cardiol. 2005;96:3i–12i
  4. Deswal A, Petersen NJ, Urbauer DL, Wright SM, Beyth R. Racial variations in quality of care and outcomes in an ambulatory heart failure cohort. Am Heart J. 2006;152:348–354
  5. East MA, Peterson ED, Shaw LK, Gattis WA, O'Connor CM. Racial differences in the outcomes of patients with diastolic heart failure. Am Heart J. 2004;148:151–156
  6. Mathew J, Wittes J, McSherry F, et al. Racial differences in outcome and treatment effect in congestive heart failure. Am Heart J. 2005;150:968–976
  7. Rosenbaum PR, Rubin DB. The central role of propensity score in observational studies for causal effects. Biometrika. 1983;70:41–55
  8. Rosenbaum PR, Rubin DB. Reducing bias in observational studies using subclassification on the propensity score. J Am Stat Assoc. 1984;79:516–524
  9. Rubin DB. Estimating causal effects from large data sets using propensity scores. Ann Intern Med. 1997;127:757–763
  10. Rubin DB. Using propensity score to help design observational studies: application to the tobacco litigation. Health Serv Outcomes Res Methodol. 2001;2:169–188
  11. Rubin DB. On principles for modeling propensity scores in medical research. Pharmacoepidemiol Drug Safety. 2004;13:855–857
  12. Ahmed A, Zannad F, Love TE, et al. A propensity-matched study of the association of low serum potassium levels and mortality in chronic heart failure. Eur Heart J. 2007;28:1334–1343
  13. Ahmed A. A propensity matched study of New York Heart Association class and natural history end points in heart failure. Am J Cardiol. 2007;99:549–553
  14. Ahmed A, Rich MW, Sanders PW, et al. Chronic kidney disease associated mortality in diastolic versus systolic heart failure: a propensity matched study. Am J Cardiol. 2007;99:393–398
  15. Ahmed A, Husain A, Love TE, et al. Heart failure, chronic diuretic use, and increase in mortality and hospitalization: an observational study using propensity score methods. Eur Heart J. 2006;27:1431–1439
  16. D'Agostino RB. Propensity score methods for bias reduction in the comparison of a treatment to a non-randomized control group. Stat Med. 1998;17:2265–2281
  17. Normand ST, Landrum MB, Guadagnoli E, et al. Validating recommendations for coronary angiography following acute myocardial infarction in the elderly: a matched analysis using propensity scores. J Clin Epidemiol. 2001;54:387–398
  18. The Digitalis Investigation Group . Rationale, design, implementation, and baseline characteristics of patients in the DIG trial: a large, simple, long-term trial to evaluate the effect of digitalis on mortality in heart failure. Control Clin Trials. 1996;17:77–97
  19. The Digitalis Investigation Group . The effect of digoxin on mortality and morbidity in patients with heart failure. N Engl J Med. 1997;336:525–533
  20. Collins JF, Howell CL, Horney RA. Determination of vital status at the end of the DIG trial. Control Clin Trials. 2003;24:726–730
  21. Levesque R. Macro. In: Levesque R, ed. SPSS programming and data management, 2nd ed. A guide for SPSS® and SAS® users. Available online at: http://www.spss.com/spss/data_management_book.htm. Accessed on: June 4, 2005.
  22. Dries DJ, Yancy CW, Strong MA, Drazner MH. Racial response to angiotensin-converting enzyme therapy in systolic heart failure. Congest Heart Fail. 2004;10:30–33
  23. Taylor AL, Ziesche S, Yancy C, et al. Combination of isosorbide dinitrate and hydralazine in blacks with heart failure. N Engl J Med. 2004;351:2049–2057
  24. Sankar P, Kahn J. BiDil: race medicine or race marketing?. Health Aff (Millwood). 2005;(Suppl Web Exclusives):W5-455-463
  25. Kalinowski L, Dobrucki IT, Malinski T. Race-specific differences in endothelial function: predisposition of African Americans to vascular diseases. Circulation. 2004;109:2511–2517
  26. Bibbins-Domingo K, Fernandez A. BiDil for heart failure in black patients: implications of the U.S. Food and Drug Administration approval. Ann Intern Med. 2007;146:52–56
  27. Brown DW, Haldeman GA, Croft JB, Giles WH, Mensah GA. Racial or ethnic differences in hospitalization for heart failure among elderly adults: Medicare, 1990 to 2000. Am Heart J. 2005;150:448–454
  28. Heywood JT, Fonarow GC, Costanzo MR, Mathur VS, Wigneswaran JR, Wynne J. High prevalence of renal dysfunction and its impact on outcome in 118,465 patients hospitalized with acute decompensated heart failure: a report from the ADHERE database. J Card Fail. 2007;13:422–430
  29. McClellan W, Warnock DG, McClure L, et al. Racial differences in the prevalence of chronic kidney disease among participants in the Reasons for Geographic and Racial Differences in Stroke (REGARDS) Cohort Study. J Am Soc Nephrol. 2006;17:1710–1715
  30. Sonel AF, Good CB, Mulgund J, et al. Racial variations in treatment and outcomes of black and white patients with high-risk non-ST-elevation acute coronary syndromes: insights from CRUSADE (Can Rapid Risk Stratification of Unstable Angina Patients Suppress Adverse Outcomes With Early Implementation of the ACC/AHA Guidelines?). Circulation. 2005;111:1225–1232
  31. Trivedi AN, Zaslavsky AM, Schneider EC, Ayanian JZ. Relationship between quality of care and racial disparities in Medicare health plans. JAMA. 2006;296:1998–2004
  32. Wendel CS, Shah JH, Duckworth WC, Hoffman RM, Mohler MJ, Murata GH. Racial and ethnic disparities in the control of cardiovascular disease risk factors in Southwest American veterans with type 2 diabetes: the Diabetes Outcomes in Veterans Study. BMC Health Serv Res. 2006;6:58

 Dr. Ahmed is supported by the National Institutes of Health through grants from the National Heart, Lung, and Blood Institute (5-R01-HL085561-02 and P50-HL077100), and a generous gift form Ms. Jean B. Morris of Birmingham, AL.

 “The Digitalis Investigation Group (DIG) study was conducted and supported by the NHLBI in collaboration with the DIG Investigators. This article was prepared using a limited access dataset obtained by the NHLBI and does not necessarily reflect the opinions or views of the DIG Study or the NHLBI.”

PII: S1071-9164(08)00063-8

doi: 10.1016/j.cardfail.2008.02.004

Journal of Cardiac Failure
Volume 14, Issue 5 , Pages 373-378 , June 2008