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Published on: April 17, 2021

C-reactive protein and heart failure after myocardial infarction in the community

Francesca Bursi1, Susan A Weston, Jill M Killian

  • 1Division of Cardiovascular Diseases, Department of Internal Medicine, Mayo Clinic and Foundation, Rochester, Minn 55901, USA.

The American Journal of Medicine
|July 3, 2007
PubMed

Insights

High C-reactive protein (CRP) levels after myocardial infarction predict increased risk for heart failure and death. This inflammatory marker offers prognostic value independent of traditional risk factors in post-MI patients.

Area of Science:

  • Cardiology
  • Biomarkers
  • Inflammation

Background:

  • Limited data exists on C-reactive protein's (CRP) prognostic role post-myocardial infarction (MI).
  • Community-based studies on CRP and post-MI outcomes are scarce.

Purpose of the Study:

  • To prospectively investigate the association between CRP levels and the risk of heart failure and death after MI.
  • To determine if CRP provides prognostic information beyond established risk factors.

Main Methods:

  • Prospective enrollment of 329 community patients with MI.
  • Measurement of CRP on admission and follow-up for heart failure and mortality.
  • Statistical analysis to assess the association between CRP tertiles and outcomes, adjusting for covariates.

Main Results:

  • At one year, 28% experienced heart failure and 20% died.
  • A significant graded association was observed between CRP levels and increased risk of heart failure and death (P < .001).
  • Patients in the highest CRP tertile had significantly higher risks for heart failure (aHR 2.47) and death (aHR 3.96) compared to the lowest tertile, independent of other factors.

Conclusions:

  • Heart failure and death are frequent complications following MI in community settings.
  • Elevated CRP levels are strongly associated with increased risk of heart failure and death post-MI.
  • Inflammation, as indicated by CRP, may play a significant role in post-MI complications, independent of conventional prognosticators.
Abstract

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