The Age-Specific Impact of Cellular Immunity on Long-Term Outcome after Acute Coronary Syndrome

Niema Kazem1, Felix Hofer1, Lorenz Koller1

  • 1Division of Cardiology, Department of Internal Medicine II, Medical University of Vienna, Austria.

Thrombosis and Haemostasis
|December 18, 2020
PubMed

Insights

Cellular immunity markers, specifically neutrophil and lymphocyte fractions and their ratio, predict mortality after acute coronary syndrome (ACS) in older adults. These easily measured values aid in age-specific risk stratification for secondary prevention.

Area of Science:

  • Cardiology
  • Immunology
  • Geriatrics

Background:

  • Personalized risk stratification for adverse events after acute coronary syndrome (ACS) is challenging in aging populations.
  • Easily applicable strategies for age-specific risk prediction are needed.
  • Cellular immunity is associated with coronary vessel disease, suggesting its potential for risk assessment.

Purpose of the Study:

  • To investigate the prognostic value of cellular immunity on long-term outcomes after ACS.
  • To analyze these effects from an age-specific perspective.

Main Methods:

  • Patients with ACS were enrolled in a clinical registry with immune phenotyping.
  • Cox-regression hazard analysis was used to assess the impact of cellular immunity on survival.
  • Patients were stratified by age (<65 and ≥65 years).

Main Results:

  • In patients ≥65 years, lymphocyte fraction, neutrophil granulocyte fraction, and neutrophil-to-lymphocyte ratio (NLR) were independently associated with mortality.
  • Higher NLR and neutrophil fraction predicted increased mortality, while higher lymphocyte fraction predicted decreased mortality.
  • No significant effect of these cell lines on outcome was observed in patients <65 years.

Conclusions:

  • Cellular immunity markers (neutrophil and lymphocyte fractions, NLR) have a significant age-specific effect on outcomes after ACS.
  • These routinely available values can be used for age-dependent risk stratification.
  • This aids in identifying high-risk patients for improved secondary prevention strategies.
Abstract

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