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

Thromb Haemost. 2021 Sep;121(9):1246-1254. doi: 10.1055/a-1340-2055. Epub 2021 Feb 10.

Abstract

Background: Personalized risk stratification after acute coronary syndrome (ACS) remains a challenging field in the aging society. Easily applicable strategies for risk prediction of adverse events from an age-specific perspective are needed. Considering the association of cellular immunity with coronary vessel disease, these cell lines mirror a reasonable value for risk assessment. Therefore, we aimed to elucidate the prognostic value of cellular immunity on long-term outcome after ACS from an age-specific perspective.

Methods: Patients presenting with ACS at the Vienna General Hospital admitted between December 1996 and January 2010 were enrolled within a clinical registry including standardized assessment of peripheral blood samples and immune phenotyping. Cox-regression hazards analysis was performed to elucidate the impact of cellular immunity on survival.

Results: A total of 832 patients were included within the final analysis and stratified according to age into individuals <65 years (n = 416) and ≥65 years (n = 416). After a median follow-up time of 8.6 years, a total of 516 (62.0%) individuals died. We found that the fraction of lymphocytes (adjusted hazard ratio [HR] of 0.61 [95% confidence interval, CI: 0.45-0.82]; p = 0.001), the fraction of neutrophil granulocytes (adjusted HR of 5.01 [95% CI: 1.62-15.46]; p = 0.005), and the neutrophil-to-lymphocyte ratio (NLR; adjusted HR of 1.47 [95% CI: 1.16-1.87]; p = 0.002) showed a strong and independent association with mortality in individuals ≥65 years. Notably, there was no effect on outcome observed for any of the tested cell lines in patients <65 years.

Conclusion: The present investigation highlighted a strong and independent age-specific effect of both the fraction of neutrophil granulocytes and lymphocytes as well as the NLR on outcome. Considering an age-dependent risk stratification, these routinely available values can be easily used to identify patients at risk for fatal events and contribute to proper secondary prevention after ACS.

Publication types

  • Comparative Study

MeSH terms

  • Acute Coronary Syndrome / diagnosis
  • Acute Coronary Syndrome / immunology*
  • Acute Coronary Syndrome / mortality
  • Acute Coronary Syndrome / therapy
  • Age Factors
  • Aged
  • Aged, 80 and over
  • Austria
  • Female
  • Humans
  • Immunity, Cellular*
  • Lymphocyte Count
  • Lymphocytes / immunology*
  • Male
  • Middle Aged
  • Neutrophils / immunology*
  • Predictive Value of Tests
  • Prognosis
  • Registries
  • Risk Assessment
  • Risk Factors
  • Time Factors