Impact of Baseline Neutrophil-to-Lymphocyte Ratio on Long-Term Prognosis in Patients With Atrial Fibrillation

Angiology. 2021 Oct;72(9):819-828. doi: 10.1177/00033197211000495. Epub 2021 Mar 15.

Abstract

We performed a retrospective analysis involving 1269 patients with atrial fibrillation (AF) to evaluate the predictive value of the neutrophil-to-lymphocyte ratio (NLR) on long-term outcomes. The primary outcomes were all-cause mortality and combined end point events (CEEs). Cox proportional hazards regression analysis and net reclassification improvement (NRI) analysis were performed. During a median follow-up of 3.32 years, 285 deaths and 376 CEEs occurred. With the elevation of the NLR, the incidence of all-cause mortality (2.77, 4.14, 6.12, and 12.18/100 person-years) and CEEs (4.19, 7.40, 8.03, and 15.22/100 person-years) significantly increased. Multivariate Cox analysis indicated that the highest NLR quartile was independently associated with the incidence of all-cause mortality (hazard ratio [HR] = 1.77, 95% CI: 1.19-2.65) and CEEs (HR = 1.66, 95% CI: 1.18-2.33). When the NLR was analyzed as a continuous variable, a 1-unit increment in log NLR was related to 134% increased risk of all-cause mortality and 119% increased risk of CEEs. Net reclassification improvement analysis revealed that NLR significantly improved risk stratification for all-cause death and CEEs by 15.0% and 9.6%, respectively. Neutrophil-to-lymphocyte ratio could be an independent predictor of long-term outcomes in patients with AF.

Keywords: all-cause mortality; atrial fibrillation; combined end point events; neutrophil-to-lymphocyte ratio; prognosis.

MeSH terms

  • Aged
  • Atrial Fibrillation / blood*
  • Atrial Fibrillation / diagnosis
  • Atrial Fibrillation / mortality
  • Atrial Fibrillation / therapy
  • Cause of Death
  • Female
  • Humans
  • Lymphocyte Count
  • Lymphocytes*
  • Male
  • Middle Aged
  • Neutrophils*
  • Predictive Value of Tests
  • Prognosis
  • Retrospective Studies
  • Risk Assessment
  • Risk Factors
  • Time Factors