Interleukin-6 and C-reactive protein prognostic value following acute coronary syndrome

Johan Wouter Jukema1,2, Nicolaas J Van Neer1, Michael Szarek3,4,5,6

  • 1Department of Cardiology, Leiden University Medical Center, PO Box 9600, Leiden 2300 RC, The Netherlands.

Insights

High-sensitivity C-reactive protein (hsCRP) independently predicts major adverse cardiovascular events (MACE) after acute coronary syndrome (ACS). Both hsCRP and interleukin-6 (IL-6) predict death, offering complementary prognostic insights.

Area of Science:

  • Cardiology
  • Biomarkers
  • Inflammation

Background:

  • High-sensitivity C-reactive protein (hsCRP) and interleukin-6 (IL-6) are linked to adverse cardiovascular events post-acute coronary syndrome (ACS).
  • The independent and complementary prognostic value of hsCRP and IL-6 after ACS remains unclear.

Purpose of the Study:

  • To investigate the independent and complementary prognostic information of hsCRP and IL-6 in patients following ACS.
  • To assess the predictive value of these biomarkers for major adverse cardiovascular events (MACE) and all-cause death.

Main Methods:

  • Post hoc analysis of the ODYSSEY OUTCOMES trial involving 11,817 post-ACS patients.
  • Proportional hazards models assessed the relationship between log-transformed hsCRP, IL-6 levels, and MACE/all-cause death.
  • Adjustments were made for treatment assignment, demographics, LDL-C, and time since ACS.

Main Results:

  • hsCRP independently predicted MACE (P < .0001), while IL-6 did not (P = .21).
  • Both hsCRP and IL-6 independently predicted all-cause death (P < .0001 and P = .0003, respectively).
  • Elevated risks for MACE and death were observed when both hsCRP and IL-6 were high, indicating complementary prognostic information.

Conclusions:

  • hsCRP provides independent prognostic information for MACE in recent ACS patients.
  • Both hsCRP and IL-6 are independent predictors of all-cause mortality post-ACS.
  • Combined assessment of hsCRP and IL-6 offers complementary prognostic value beyond individual markers.
Abstract

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