Clinical predictors of late death in survivors of acute myocardial infarction.

Sunil Kumar Agarwal, Ish Singla, Haitham Hreybe, Samir Saba
Author Information
  1. Sunil Kumar Agarwal: Cardiac Electrophysiology Section, University of Pittsburgh Medical Center, 200 Lothrop Street, Pittsburgh, PA 15213, USA.

Abstract

Survivors of acute myocardial infarction have higher mortality rates than do the general population. This study examined the value of multiple clinical characteristics in predicting late death among patients who present with acute myocardial infarction.We reviewed the electronic medical records of patients who had been treated for acute myocardial infarction at our institution from 1992 through 2000. We abstracted the clinical, laboratory, electrocardiographic, echocardiographic, and treatment characteristics.Of 144 patients (79.2% men; 97.2% white; mean age, 63 +/- 14.2 yr) included in this analysis, 63 (43.8%) patients died during a follow-up period of 5.6 +/- 2.8 years (5 d-12.7 yr). Higher age (hazard ratio, 1.83 +/- 0.31 for every 10-year increase), elevated serum creatinine (hazard ratio, 2.87 +/- 0.76), and lower baseline left ventricular ejection fraction (hazard ratio, 0.74 +/- 0.21 for every 5% increase) were found to be predictors of late death after adjusting for the white blood cell count, the QRS duration, the presence of coronary revascularization or defibrillator implantation, and the history of coronary artery disease. Elevated white blood cell count predicted early but not late death. Patients with none of the above risk factors had 100% survival at 5 years, in comparison with 22.7% survival for those with 3 or more of the 4 risk factors identified above.In this study, we have identified clinical predictors of long-term survival after acute myocardial infarction that might help in prognostication, patient education, and risk modification.

Keywords

References

  1. Am J Kidney Dis. 1998 Nov;32(5 Suppl 3):S112-9 [PMID: 9820470]
  2. Atherosclerosis. 2008 Jan;196(1):405-412 [PMID: 17173924]
  3. Minerva Cardioangiol. 2002 Dec;50(6):653-9 [PMID: 12473985]
  4. Am Heart J. 2004 Apr;147(4):623-9 [PMID: 15077076]
  5. Ann Cardiol Angeiol (Paris). 2005 Aug;54(4):161-7 [PMID: 16104614]
  6. JAMA. 1998 Feb 4;279(5):387-91 [PMID: 9459474]
  7. Am Heart J. 2005 Aug;150(2):215-20 [PMID: 16086920]
  8. Arch Pathol Lab Med. 1993 Jan;117(1):89-96 [PMID: 8418769]
  9. Pacing Clin Electrophysiol. 2006 Aug;29(8):830-6 [PMID: 16922998]
  10. J Lab Clin Med. 2006 Jun;147(6):321-6 [PMID: 16750670]
  11. Can J Cardiol. 2006 Feb;22(2):115-20 [PMID: 16485045]
  12. J Am Coll Cardiol. 1999 Sep;34(3):890-911 [PMID: 10483976]
  13. Am Heart J. 2006 Mar;151(3):661-7 [PMID: 16504628]
  14. N Engl J Med. 1995 Jan 12;332(2):80-5 [PMID: 7990904]
  15. Kardiol Pol. 2005 Oct;63(4):373-8; discussion 379-80 [PMID: 16273475]
  16. Am J Cardiol. 2005 Jul 1;96(1):25-30 [PMID: 15979427]
  17. Eur Heart J. 2004 Nov;25(22):1998-2005 [PMID: 15541835]
  18. Am J Cardiol. 2002 May 1;89(9):1013-8 [PMID: 11988187]
  19. Acute Card Care. 2007;9(1):34-42 [PMID: 17453537]
  20. Circulation. 1979 Mar;59(3):607-9 [PMID: 761341]
  21. Am Heart J. 2007 May;153(5):755-62 [PMID: 17452149]
  22. Eur Heart J. 2006 Jun;27(11):1289-97 [PMID: 16611669]
  23. Am J Cardiol. 2006 Dec 4;98(11A):18P-25P [PMID: 17126675]
  24. Am J Geriatr Cardiol. 2006 Jan-Feb;15(1):35-41 [PMID: 16415645]
  25. Am Heart J. 2005 Nov;150(5):912-9 [PMID: 16290960]
  26. Am Heart J. 2005 Aug;150(2):330-7 [PMID: 16086939]
  27. Cardiol Rev. 2005 Sep-Oct;13(5):223-30 [PMID: 16106183]

MeSH Term

Age Factors
Aged
Biomarkers
Creatinine
Female
Humans
Kaplan-Meier Estimate
Leukocyte Count
Male
Middle Aged
Myocardial Infarction
Patient Education as Topic
Pennsylvania
Predictive Value of Tests
Proportional Hazards Models
Retrospective Studies
Risk Factors
Risk Reduction Behavior
Stroke Volume
Survivors
Time Factors
Treatment Outcome

Chemicals

Biomarkers
Creatinine

Word Cloud

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