Relationship of Serial High-Sensitivity C-Reactive Protein Changes to Long-term Clinical Outcomes in Stabilised

Myunhee Lee1, Kyusup Lee1, Dae-Won Kim1

  • 1Division of Cardiology, Daejeon St Mary's Hospital, College of Medicine, Catholic University of Korea, Daejeon, Republic of Korea.

Insights

Persistently high high-sensitivity C-reactive protein (hsCRP) levels one year after myocardial infarction (MI) and percutaneous coronary intervention (PCI) predict poor long-term outcomes. Serial hsCRP measurements aid in identifying high-risk post-MI patients.

Area of Science:

  • Cardiology
  • Biomarkers
  • Inflammation

Background:

  • Limited understanding of serial high-sensitivity C-reactive protein (hsCRP) and long-term outcomes post-myocardial infarction (MI).
  • Need for effective risk stratification in stabilized post-MI patients after percutaneous coronary intervention (PCI).

Purpose of the Study:

  • Investigate the utility of serial hsCRP measurements for risk stratification.
  • Assess the association between hsCRP levels and long-term adverse events in post-MI patients.

Main Methods:

  • Included 1018 patients with baseline and 1-year hsCRP measurements post-MI.
  • Defined high inflammatory status as hsCRP > 2 mg/L.
  • Categorized patients into 4 groups based on hsCRP trends: persistently low, falling, rising, and persistently high.
  • Primary outcome: major adverse cardiac and cerebrovascular events (MACCE) within 4 years.

Main Results:

  • Persistently high hsCRP was observed in 19.4% of patients at 1 year.
  • MACCE incidence increased progressively across groups: 4.8% (persistently low) to 13.2% (persistently high).
  • Persistently high hsCRP independently predicted MACCE (aHR 2.55) and improved risk prediction models.

Conclusions:

  • Persistently high hsCRP 1 year post-MI and PCI is linked to adverse long-term clinical outcomes.
  • Serial hsCRP measurements can identify high-risk patients for mortality and morbidity.
  • This approach enhances risk stratification in the post-MI population.
Abstract

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