Increased complements and high-sensitivity C-reactive protein predict heart failure in acute myocardial infarction

Danni Liu1, Xin Qi2, Qi Li2

  • 1Department of Pathophysiology, School of Medicine, Nankai University, Tianjin 300071, P.R. China; Department of Cardiology, Tianjin Union Medical Center, Tianjin 300121, P.R. China.

Biomedical Reports
|January 21, 2017
PubMed

Insights

Serum complement and hs-CRP levels increase in acute myocardial infarction (AMI) patients, especially STEMI, indicating severity. These biomarkers may predict left ventricular dysfunction, guiding therapeutic strategies.

Area of Science:

  • Cardiology
  • Biochemistry
  • Immunology

Background:

  • Acute myocardial infarction (AMI) is a critical cardiovascular event.
  • Assessing myocardial injury severity and predicting outcomes remain clinical challenges.
  • Inflammatory markers and complement system activation are implicated in AMI pathophysiology.

Purpose of the Study:

  • To investigate the association between serum complement and high-sensitivity C-reactive protein (hs-CRP) levels and myocardial injury severity in AMI patients.
  • To determine if these markers can predict left ventricular dysfunction following AMI.
  • To explore the potential of these biomarkers in guiding clinical therapeutic strategies.

Main Methods:

  • Prospective study enrolling 110 AMI patients and 33 healthy controls.
  • Patients classified into ST-segment elevation MI (STEMI) and non-ST-segment elevation MI (NSTEMI) groups.
  • Serum complement and hs-CRP levels measured at various time-points post-AMI.

Main Results:

  • Serum complement and hs-CRP levels were significantly elevated in AMI patients compared to controls.
  • STEMI patients showed a rapid increase in these markers, particularly by day 3 post-AMI.
  • STEMI patients exhibited a higher incidence of diastolic dysfunction and heart failure.

Conclusions:

  • Elevated serum complement and hs-CRP levels are associated with AMI severity.
  • Complement activation and hs-CRP may serve as specific biomarkers for predicting left ventricular dysfunction.
  • Biomarker-based approaches can aid in stratifying AMI severity and tailoring treatment strategies.

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